id	sid	tid	token	lemma	pos
brj-24472	1	1	peer	peer	NOUN
brj-24472	1	2	-	-	PUNCT
brj-24472	1	3	review	review	NOUN
brj-24472	1	4	article	article	NOUN
brj-24472	1	5	peer	peer	NOUN
brj-24472	1	6	-	-	PUNCT
brj-24472	1	7	reviewed	review	VERB
brj-24472	1	8	article	article	NOUN
brj-24472	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	1	10	huang	huang	PROPN
brj-24472	1	11	et	et	PROPN
brj-24472	1	12	al	al	PROPN
brj-24472	1	13	.	.	PROPN
brj-24472	2	1	(	(	PUNCT
brj-24472	2	2	2025	2025	NUM
brj-24472	2	3	)	)	PUNCT
brj-24472	2	4	.	.	PUNCT
brj-24472	3	1	“	"	PUNCT
brj-24472	3	2	bamboo	bamboo	NOUN
brj-24472	3	3	furniture	furniture	NOUN
brj-24472	3	4	design	design	NOUN
brj-24472	3	5	,	,	PUNCT
brj-24472	3	6	”	"	PUNCT
brj-24472	3	7	bioresources	bioresource	NOUN
brj-24472	3	8	20(3	20(3	NOUN
brj-24472	3	9	)	)	PUNCT
brj-24472	3	10	,	,	PUNCT
brj-24472	3	11	7107	7107	NUM
brj-24472	3	12	-	-	SYM
brj-24472	3	13	7133	7133	NUM
brj-24472	3	14	.	.	PUNCT
brj-24472	4	1	7107	7107	NUM
brj-24472	4	2	fusion	fusion	NOUN
brj-24472	4	3	of	of	ADP
brj-24472	4	4	rough	rough	ADJ
brj-24472	4	5	set	set	NOUN
brj-24472	4	6	theory	theory	NOUN
brj-24472	4	7	,	,	PUNCT
brj-24472	4	8	genetic	genetic	ADJ
brj-24472	4	9	algorithmbackpropagation	algorithmbackpropagation	NOUN
brj-24472	4	10	neural	neural	ADJ
brj-24472	4	11	networks	network	NOUN
brj-24472	4	12	and	and	CCONJ
brj-24472	4	13	shapley	shapley	ADJ
brj-24472	4	14	additive	additive	ADJ
brj-24472	4	15	explanations	explanation	NOUN
brj-24472	4	16	for	for	ADP
brj-24472	4	17	the	the	DET
brj-24472	4	18	design	design	NOUN
brj-24472	4	19	of	of	ADP
brj-24472	4	20	bamboo	bamboo	NOUN
brj-24472	4	21	furniture	furniture	NOUN
brj-24472	4	22	zhongchen	zhongchen	PROPN
brj-24472	4	23	huang	huang	PROPN
brj-24472	4	24	,	,	PUNCT
brj-24472	4	25	a	a	PRON
brj-24472	4	26	and	and	CCONJ
brj-24472	4	27	li	li	PROPN
brj-24472	4	28	ye	ye	PROPN
brj-24472	4	29	b	b	PROPN
brj-24472	4	30	,	,	PUNCT
brj-24472	4	31	*	*	PUNCT
brj-24472	4	32	in	in	ADP
brj-24472	4	33	today	today	NOUN
brj-24472	4	34	's	's	PART
brj-24472	4	35	competitive	competitive	ADJ
brj-24472	4	36	market	market	NOUN
brj-24472	4	37	,	,	PUNCT
brj-24472	4	38	meeting	meet	VERB
brj-24472	4	39	consumers	consumer	NOUN
brj-24472	4	40	'	'	PART
brj-24472	4	41	satisfaction	satisfaction	NOUN
brj-24472	4	42	and	and	CCONJ
brj-24472	4	43	emotional	emotional	ADJ
brj-24472	4	44	needs	need	NOUN
brj-24472	4	45	is	be	AUX
brj-24472	4	46	crucial	crucial	ADJ
brj-24472	4	47	for	for	ADP
brj-24472	4	48	business	business	NOUN
brj-24472	4	49	success	success	NOUN
brj-24472	4	50	.	.	PUNCT
brj-24472	5	1	however	however	ADV
brj-24472	5	2	,	,	PUNCT
brj-24472	5	3	the	the	DET
brj-24472	5	4	cognitive	cognitive	ADJ
brj-24472	5	5	gap	gap	NOUN
brj-24472	5	6	between	between	ADP
brj-24472	5	7	designers	designer	NOUN
brj-24472	5	8	and	and	CCONJ
brj-24472	5	9	consumers	consumer	NOUN
brj-24472	5	10	often	often	ADV
brj-24472	5	11	hinders	hinder	VERB
brj-24472	5	12	market	market	NOUN
brj-24472	5	13	recognition	recognition	NOUN
brj-24472	5	14	for	for	ADP
brj-24472	5	15	bamboo	bamboo	NOUN
brj-24472	5	16	furniture	furniture	NOUN
brj-24472	5	17	.	.	PUNCT
brj-24472	6	1	therefore	therefore	ADV
brj-24472	6	2	,	,	PUNCT
brj-24472	6	3	a	a	DET
brj-24472	6	4	research	research	NOUN
brj-24472	6	5	framework	framework	NOUN
brj-24472	6	6	based	base	VERB
brj-24472	6	7	on	on	ADP
brj-24472	6	8	kansei	kansei	ADJ
brj-24472	6	9	engineering	engineering	NOUN
brj-24472	6	10	(	(	PUNCT
brj-24472	6	11	ke	ke	NOUN
brj-24472	6	12	)	)	PUNCT
brj-24472	6	13	is	be	AUX
brj-24472	6	14	proposed	propose	VERB
brj-24472	6	15	in	in	ADP
brj-24472	6	16	this	this	DET
brj-24472	6	17	study	study	NOUN
brj-24472	6	18	.	.	PUNCT
brj-24472	7	1	first	first	ADV
brj-24472	7	2	,	,	PUNCT
brj-24472	7	3	the	the	DET
brj-24472	7	4	emotional	emotional	ADJ
brj-24472	7	5	needs	need	NOUN
brj-24472	7	6	and	and	CCONJ
brj-24472	7	7	related	related	ADJ
brj-24472	7	8	samples	sample	NOUN
brj-24472	7	9	were	be	AUX
brj-24472	7	10	collected	collect	VERB
brj-24472	7	11	,	,	PUNCT
brj-24472	7	12	and	and	CCONJ
brj-24472	7	13	the	the	DET
brj-24472	7	14	sample	sample	NOUN
brj-24472	7	15	form	form	NOUN
brj-24472	7	16	was	be	AUX
brj-24472	7	17	deconstructed	deconstruct	VERB
brj-24472	7	18	systematically	systematically	ADV
brj-24472	7	19	.	.	PUNCT
brj-24472	8	1	then	then	ADV
brj-24472	8	2	,	,	PUNCT
brj-24472	8	3	the	the	DET
brj-24472	8	4	attribute	attribute	NOUN
brj-24472	8	5	reduction	reduction	NOUN
brj-24472	8	6	algorithm	algorithm	NOUN
brj-24472	8	7	in	in	ADP
brj-24472	8	8	rough	rough	ADJ
brj-24472	8	9	set	set	NOUN
brj-24472	8	10	theory	theory	NOUN
brj-24472	8	11	was	be	AUX
brj-24472	8	12	used	use	VERB
brj-24472	8	13	to	to	PART
brj-24472	8	14	extract	extract	VERB
brj-24472	8	15	the	the	DET
brj-24472	8	16	key	key	ADJ
brj-24472	8	17	emotional	emotional	ADJ
brj-24472	8	18	needs	need	NOUN
brj-24472	8	19	that	that	PRON
brj-24472	8	20	have	have	VERB
brj-24472	8	21	significant	significant	ADJ
brj-24472	8	22	impact	impact	NOUN
brj-24472	8	23	on	on	ADP
brj-24472	8	24	consumer	consumer	NOUN
brj-24472	8	25	satisfaction	satisfaction	NOUN
brj-24472	8	26	.	.	PUNCT
brj-24472	9	1	finally	finally	ADV
brj-24472	9	2	,	,	PUNCT
brj-24472	9	3	an	an	DET
brj-24472	9	4	intelligent	intelligent	ADJ
brj-24472	9	5	mapping	mapping	NOUN
brj-24472	9	6	model	model	NOUN
brj-24472	9	7	between	between	ADP
brj-24472	9	8	product	product	NOUN
brj-24472	9	9	components	component	NOUN
brj-24472	9	10	and	and	CCONJ
brj-24472	9	11	emotional	emotional	ADJ
brj-24472	9	12	needs	need	NOUN
brj-24472	9	13	was	be	AUX
brj-24472	9	14	constructed	construct	VERB
brj-24472	9	15	using	use	VERB
brj-24472	9	16	genetic	genetic	ADJ
brj-24472	9	17	algorithm	algorithm	NOUN
brj-24472	9	18	-	-	PUNCT
brj-24472	9	19	backpropagation	backpropagation	NOUN
brj-24472	9	20	neural	neural	ADJ
brj-24472	9	21	networks	network	NOUN
brj-24472	9	22	(	(	PUNCT
brj-24472	9	23	ga	ga	NOUN
brj-24472	9	24	-	-	PUNCT
brj-24472	9	25	bpnn	bpnn	NOUN
brj-24472	9	26	)	)	PUNCT
brj-24472	9	27	,	,	PUNCT
brj-24472	9	28	which	which	PRON
brj-24472	9	29	predicts	predict	VERB
brj-24472	9	30	the	the	DET
brj-24472	9	31	optimal	optimal	ADJ
brj-24472	9	32	product	product	NOUN
brj-24472	9	33	design	design	NOUN
brj-24472	9	34	parameters	parameter	NOUN
brj-24472	9	35	that	that	PRON
brj-24472	9	36	meet	meet	VERB
brj-24472	9	37	users	user	NOUN
brj-24472	9	38	'	'	PART
brj-24472	9	39	emotional	emotional	ADJ
brj-24472	9	40	needs	need	NOUN
brj-24472	9	41	.	.	PUNCT
brj-24472	10	1	additionally	additionally	ADV
brj-24472	10	2	,	,	PUNCT
brj-24472	10	3	we	we	PRON
brj-24472	10	4	conducted	conduct	VERB
brj-24472	10	5	an	an	DET
brj-24472	10	6	interpretative	interpretative	ADJ
brj-24472	10	7	analysis	analysis	NOUN
brj-24472	10	8	of	of	ADP
brj-24472	10	9	the	the	DET
brj-24472	10	10	prediction	prediction	NOUN
brj-24472	10	11	model	model	NOUN
brj-24472	10	12	using	use	VERB
brj-24472	10	13	the	the	DET
brj-24472	10	14	shapley	shapley	ADJ
brj-24472	10	15	additive	additive	ADJ
brj-24472	10	16	explanations	explanation	NOUN
brj-24472	10	17	(	(	PUNCT
brj-24472	10	18	shap	shap	NOUN
brj-24472	10	19	)	)	PUNCT
brj-24472	10	20	method	method	NOUN
brj-24472	10	21	.	.	PUNCT
brj-24472	11	1	the	the	DET
brj-24472	11	2	evaluation	evaluation	NOUN
brj-24472	11	3	results	result	NOUN
brj-24472	11	4	were	be	AUX
brj-24472	11	5	significantly	significantly	ADV
brj-24472	11	6	higher	high	ADJ
brj-24472	11	7	than	than	ADP
brj-24472	11	8	the	the	DET
brj-24472	11	9	average	average	NOUN
brj-24472	11	10	,	,	PUNCT
brj-24472	11	11	validating	validate	VERB
brj-24472	11	12	the	the	DET
brj-24472	11	13	advanced	advanced	ADJ
brj-24472	11	14	and	and	CCONJ
brj-24472	11	15	effective	effective	ADJ
brj-24472	11	16	nature	nature	NOUN
brj-24472	11	17	of	of	ADP
brj-24472	11	18	the	the	DET
brj-24472	11	19	method	method	NOUN
brj-24472	11	20	proposed	propose	VERB
brj-24472	11	21	in	in	ADP
brj-24472	11	22	this	this	DET
brj-24472	11	23	study	study	NOUN
brj-24472	11	24	.	.	PUNCT
brj-24472	12	1	compared	compare	VERB
brj-24472	12	2	with	with	ADP
brj-24472	12	3	previous	previous	ADJ
brj-24472	12	4	ke	ke	NOUN
brj-24472	12	5	studies	study	NOUN
brj-24472	12	6	,	,	PUNCT
brj-24472	12	7	the	the	DET
brj-24472	12	8	ga	ga	PROPN
brj-24472	12	9	-	-	PUNCT
brj-24472	12	10	bpnn	bpnn	NOUN
brj-24472	12	11	model	model	NOUN
brj-24472	12	12	proposed	propose	VERB
brj-24472	12	13	in	in	ADP
brj-24472	12	14	this	this	DET
brj-24472	12	15	study	study	NOUN
brj-24472	12	16	has	have	VERB
brj-24472	12	17	better	well	ADJ
brj-24472	12	18	prediction	prediction	NOUN
brj-24472	12	19	efficiency	efficiency	NOUN
brj-24472	12	20	and	and	CCONJ
brj-24472	12	21	higher	high	ADJ
brj-24472	12	22	precision	precision	NOUN
brj-24472	12	23	,	,	PUNCT
brj-24472	12	24	which	which	PRON
brj-24472	12	25	can	can	AUX
brj-24472	12	26	more	more	ADV
brj-24472	12	27	effectively	effectively	ADV
brj-24472	12	28	solve	solve	VERB
brj-24472	12	29	the	the	DET
brj-24472	12	30	cognitive	cognitive	ADJ
brj-24472	12	31	differences	difference	NOUN
brj-24472	12	32	between	between	ADP
brj-24472	12	33	designers	designer	NOUN
brj-24472	12	34	and	and	CCONJ
brj-24472	12	35	consumers	consumer	NOUN
brj-24472	12	36	.	.	PUNCT
brj-24472	13	1	thus	thus	ADV
brj-24472	13	2	,	,	PUNCT
brj-24472	13	3	the	the	DET
brj-24472	13	4	development	development	NOUN
brj-24472	13	5	efficiency	efficiency	NOUN
brj-24472	13	6	and	and	CCONJ
brj-24472	13	7	decision	decision	NOUN
brj-24472	13	8	-	-	PUNCT
brj-24472	13	9	making	make	VERB
brj-24472	13	10	accuracy	accuracy	NOUN
brj-24472	13	11	of	of	ADP
brj-24472	13	12	enterprises	enterprise	NOUN
brj-24472	13	13	’	'	PUNCT
brj-24472	13	14	product	product	NOUN
brj-24472	13	15	design	design	NOUN
brj-24472	13	16	has	have	AUX
brj-24472	13	17	been	be	AUX
brj-24472	13	18	improved	improve	VERB
brj-24472	13	19	.	.	PUNCT
brj-24472	14	1	doi	doi	NOUN
brj-24472	14	2	:	:	PUNCT
brj-24472	14	3	10.15376	10.15376	NUM
brj-24472	14	4	/	/	SYM
brj-24472	14	5	biores.20.3.7107	biores.20.3.7107	PROPN
brj-24472	14	6	-	-	PUNCT
brj-24472	14	7	7133	7133	NUM
brj-24472	14	8	keywords	keyword	NOUN
brj-24472	14	9	:	:	PUNCT
brj-24472	14	10	bamboo	bamboo	NOUN
brj-24472	14	11	furniture	furniture	NOUN
brj-24472	14	12	;	;	PUNCT
brj-24472	14	13	kansei	kansei	ADJ
brj-24472	14	14	engineering	engineering	NOUN
brj-24472	14	15	;	;	PUNCT
brj-24472	14	16	rough	rough	ADJ
brj-24472	14	17	set	set	NOUN
brj-24472	14	18	theory	theory	NOUN
brj-24472	14	19	;	;	PUNCT
brj-24472	14	20	genetic	genetic	ADJ
brj-24472	14	21	algorithm	algorithm	NOUN
brj-24472	14	22	-	-	PUNCT
brj-24472	14	23	backpropagation	backpropagation	NOUN
brj-24472	14	24	neural	neural	ADJ
brj-24472	14	25	networks	network	NOUN
brj-24472	14	26	;	;	PUNCT
brj-24472	14	27	shapley	shapley	ADJ
brj-24472	14	28	additive	additive	NOUN
brj-24472	14	29	explanations	explanation	NOUN
brj-24472	14	30	;	;	PUNCT
brj-24472	14	31	bamboo	bamboo	NOUN
brj-24472	14	32	chair	chair	NOUN
brj-24472	14	33	contact	contact	NOUN
brj-24472	14	34	information	information	NOUN
brj-24472	14	35	:	:	PUNCT
brj-24472	14	36	a	a	DET
brj-24472	14	37	:	:	PUNCT
brj-24472	14	38	department	department	NOUN
brj-24472	14	39	of	of	ADP
brj-24472	14	40	space	space	NOUN
brj-24472	14	41	design	design	NOUN
brj-24472	14	42	,	,	PUNCT
brj-24472	14	43	hoseo	hoseo	PROPN
brj-24472	14	44	university	university	NOUN
brj-24472	14	45	,	,	PUNCT
brj-24472	14	46	asan	asan	ADJ
brj-24472	14	47	31459	31459	NUM
brj-24472	14	48	,	,	PUNCT
brj-24472	14	49	korea	korea	PROPN
brj-24472	14	50	;	;	PUNCT
brj-24472	14	51	b	b	X
brj-24472	14	52	:	:	PUNCT
brj-24472	14	53	xiangsihu	xiangsihu	PROPN
brj-24472	14	54	college	college	PROPN
brj-24472	14	55	of	of	ADP
brj-24472	14	56	guang	guang	PROPN
brj-24472	14	57	xi	xi	PROPN
brj-24472	14	58	minzu	minzu	PROPN
brj-24472	14	59	university	university	PROPN
brj-24472	14	60	,	,	PUNCT
brj-24472	14	61	nanning	nanning	PROPN
brj-24472	14	62	530000	530000	NUM
brj-24472	14	63	,	,	PUNCT
brj-24472	14	64	china	china	PROPN
brj-24472	14	65	;	;	PUNCT
brj-24472	14	66	first	first	ADJ
brj-24472	14	67	author	author	NOUN
brj-24472	14	68	:	:	PUNCT
brj-24472	14	69	20225215@vision.hoseo.edu	20225215@vision.hoseo.edu	NUM
brj-24472	14	70	;	;	PUNCT
brj-24472	14	71	*	*	PUNCT
brj-24472	14	72	corresponding	correspond	VERB
brj-24472	14	73	author	author	NOUN
brj-24472	14	74	:	:	PUNCT
brj-24472	14	75	20201411591@stu.gxau.edu.cn	20201411591@stu.gxau.edu.cn	NUM
brj-24472	14	76	introduction	introduction	NOUN
brj-24472	14	77	the	the	DET
brj-24472	14	78	origin	origin	NOUN
brj-24472	14	79	of	of	ADP
brj-24472	14	80	bamboo	bamboo	NOUN
brj-24472	14	81	furniture	furniture	NOUN
brj-24472	14	82	can	can	AUX
brj-24472	14	83	be	be	AUX
brj-24472	14	84	traced	trace	VERB
brj-24472	14	85	back	back	ADV
brj-24472	14	86	to	to	ADP
brj-24472	14	87	ancient	ancient	ADJ
brj-24472	14	88	east	east	PROPN
brj-24472	14	89	asia	asia	PROPN
brj-24472	14	90	,	,	PUNCT
brj-24472	14	91	especially	especially	ADV
brj-24472	14	92	china	china	PROPN
brj-24472	14	93	and	and	CCONJ
brj-24472	14	94	japan	japan	PROPN
brj-24472	14	95	(	(	PUNCT
brj-24472	14	96	deng	deng	PROPN
brj-24472	14	97	et	et	PROPN
brj-24472	14	98	al	al	PROPN
brj-24472	14	99	.	.	PROPN
brj-24472	14	100	2023	2023	NUM
brj-24472	14	101	)	)	PUNCT
brj-24472	14	102	.	.	PUNCT
brj-24472	15	1	because	because	SCONJ
brj-24472	15	2	bamboo	bamboo	NOUN
brj-24472	15	3	grows	grow	VERB
brj-24472	15	4	quickly	quickly	ADV
brj-24472	15	5	and	and	CCONJ
brj-24472	15	6	it	it	PRON
brj-24472	15	7	is	be	AUX
brj-24472	15	8	light	light	ADJ
brj-24472	15	9	and	and	CCONJ
brj-24472	15	10	tough	tough	ADJ
brj-24472	15	11	,	,	PUNCT
brj-24472	15	12	early	early	ADJ
brj-24472	15	13	people	people	NOUN
brj-24472	15	14	used	use	VERB
brj-24472	15	15	this	this	DET
brj-24472	15	16	natural	natural	ADJ
brj-24472	15	17	material	material	NOUN
brj-24472	15	18	to	to	PART
brj-24472	15	19	make	make	VERB
brj-24472	15	20	furniture	furniture	NOUN
brj-24472	15	21	(	(	PUNCT
brj-24472	15	22	yuan	yuan	NOUN
brj-24472	15	23	et	et	PROPN
brj-24472	15	24	al	al	PROPN
brj-24472	15	25	.	.	PROPN
brj-24472	15	26	2022	2022	NUM
brj-24472	15	27	)	)	PUNCT
brj-24472	15	28	.	.	PUNCT
brj-24472	16	1	over	over	ADP
brj-24472	16	2	time	time	NOUN
brj-24472	16	3	,	,	PUNCT
brj-24472	16	4	bamboo	bamboo	NOUN
brj-24472	16	5	furniture	furniture	NOUN
brj-24472	16	6	has	have	AUX
brj-24472	16	7	not	not	PART
brj-24472	16	8	only	only	ADV
brj-24472	16	9	been	be	AUX
brj-24472	16	10	favored	favor	VERB
brj-24472	16	11	for	for	ADP
brj-24472	16	12	its	its	PRON
brj-24472	16	13	unique	unique	ADJ
brj-24472	16	14	aesthetics	aesthetic	NOUN
brj-24472	16	15	and	and	CCONJ
brj-24472	16	16	practicality	practicality	NOUN
brj-24472	16	17	,	,	PUNCT
brj-24472	16	18	but	but	CCONJ
brj-24472	16	19	also	also	ADV
brj-24472	16	20	gradually	gradually	ADV
brj-24472	16	21	became	become	VERB
brj-24472	16	22	a	a	DET
brj-24472	16	23	cultural	cultural	ADJ
brj-24472	16	24	symbol	symbol	NOUN
brj-24472	16	25	,	,	PUNCT
brj-24472	16	26	reflecting	reflect	VERB
brj-24472	16	27	the	the	DET
brj-24472	16	28	concept	concept	NOUN
brj-24472	16	29	of	of	ADP
brj-24472	16	30	harmonious	harmonious	ADJ
brj-24472	16	31	coexistence	coexistence	NOUN
brj-24472	16	32	between	between	ADP
brj-24472	16	33	man	man	NOUN
brj-24472	16	34	and	and	CCONJ
brj-24472	16	35	nature	nature	NOUN
brj-24472	16	36	(	(	PUNCT
brj-24472	16	37	shi	shi	PROPN
brj-24472	16	38	et	et	PROPN
brj-24472	16	39	al	al	PROPN
brj-24472	16	40	.	.	PROPN
brj-24472	16	41	2023	2023	NUM
brj-24472	16	42	)	)	PUNCT
brj-24472	16	43	.	.	PUNCT
brj-24472	17	1	in	in	ADP
brj-24472	17	2	modern	modern	ADJ
brj-24472	17	3	society	society	NOUN
brj-24472	17	4	,	,	PUNCT
brj-24472	17	5	bamboo	bamboo	NOUN
brj-24472	17	6	furniture	furniture	NOUN
brj-24472	17	7	with	with	ADP
brj-24472	17	8	its	its	PRON
brj-24472	17	9	environmentally	environmentally	ADV
brj-24472	17	10	friendly	friendly	ADJ
brj-24472	17	11	nature	nature	NOUN
brj-24472	17	12	and	and	CCONJ
brj-24472	17	13	sustainable	sustainable	ADJ
brj-24472	17	14	characteristics	characteristic	NOUN
brj-24472	17	15	has	have	AUX
brj-24472	17	16	once	once	ADV
brj-24472	17	17	again	again	ADV
brj-24472	17	18	attracted	attract	VERB
brj-24472	17	19	people	people	NOUN
brj-24472	17	20	’s	’s	PART
brj-24472	17	21	attention	attention	NOUN
brj-24472	17	22	and	and	CCONJ
brj-24472	17	23	become	become	VERB
brj-24472	17	24	an	an	DET
brj-24472	17	25	important	important	ADJ
brj-24472	17	26	part	part	NOUN
brj-24472	17	27	of	of	ADP
brj-24472	17	28	sustainability	sustainability	NOUN
brj-24472	17	29	living	live	VERB
brj-24472	17	30	(	(	PUNCT
brj-24472	17	31	fan	fan	NOUN
brj-24472	17	32	et	et	PROPN
brj-24472	17	33	al	al	PROPN
brj-24472	17	34	.	.	PROPN
brj-24472	17	35	2024	2024	NUM
brj-24472	17	36	)	)	PUNCT
brj-24472	17	37	.	.	PUNCT
brj-24472	18	1	in	in	ADP
brj-24472	18	2	the	the	DET
brj-24472	18	3	current	current	ADJ
brj-24472	18	4	era	era	NOUN
brj-24472	18	5	of	of	ADP
brj-24472	18	6	kansei	kansei	ADJ
brj-24472	18	7	consumption	consumption	NOUN
brj-24472	18	8	,	,	PUNCT
brj-24472	18	9	consumers	consumer	NOUN
brj-24472	18	10	’	'	PUNCT
brj-24472	18	11	purchase	purchase	NOUN
brj-24472	18	12	decisions	decision	NOUN
brj-24472	18	13	are	be	AUX
brj-24472	18	14	not	not	PART
brj-24472	18	15	only	only	ADV
brj-24472	18	16	based	base	VERB
brj-24472	18	17	on	on	ADP
brj-24472	18	18	product	product	NOUN
brj-24472	18	19	functions	function	NOUN
brj-24472	18	20	and	and	CCONJ
brj-24472	18	21	prices	price	NOUN
brj-24472	18	22	but	but	CCONJ
brj-24472	18	23	also	also	ADV
brj-24472	18	24	on	on	ADP
brj-24472	18	25	emotional	emotional	ADJ
brj-24472	18	26	experience	experience	NOUN
brj-24472	18	27	and	and	CCONJ
brj-24472	18	28	peer	peer	NOUN
brj-24472	18	29	-	-	PUNCT
brj-24472	18	30	reviewed	review	VERB
brj-24472	18	31	article	article	NOUN
brj-24472	18	32	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	18	33	huang	huang	PROPN
brj-24472	18	34	et	et	PROPN
brj-24472	18	35	al	al	PROPN
brj-24472	18	36	.	.	PROPN
brj-24472	19	1	(	(	PUNCT
brj-24472	19	2	2025	2025	NUM
brj-24472	19	3	)	)	PUNCT
brj-24472	19	4	.	.	PUNCT
brj-24472	20	1	“	"	PUNCT
brj-24472	20	2	bamboo	bamboo	NOUN
brj-24472	20	3	furniture	furniture	NOUN
brj-24472	20	4	design	design	NOUN
brj-24472	20	5	,	,	PUNCT
brj-24472	20	6	”	"	PUNCT
brj-24472	20	7	bioresources	bioresource	NOUN
brj-24472	20	8	20(3	20(3	NOUN
brj-24472	20	9	)	)	PUNCT
brj-24472	20	10	,	,	PUNCT
brj-24472	20	11	7107	7107	NUM
brj-24472	20	12	-	-	SYM
brj-24472	20	13	7133	7133	NUM
brj-24472	20	14	.	.	PUNCT
brj-24472	21	1	7108	7108	NUM
brj-24472	21	2	personalized	personalize	VERB
brj-24472	21	3	needs	need	NOUN
brj-24472	21	4	(	(	PUNCT
brj-24472	21	5	achar	achar	PROPN
brj-24472	21	6	et	et	PROPN
brj-24472	21	7	al	al	PROPN
brj-24472	21	8	.	.	PROPN
brj-24472	21	9	2016	2016	NUM
brj-24472	21	10	;	;	PUNCT
brj-24472	21	11	hu	hu	PROPN
brj-24472	21	12	et	et	PROPN
brj-24472	21	13	al	al	PROPN
brj-24472	21	14	.	.	PROPN
brj-24472	21	15	2022	2022	NUM
brj-24472	21	16	)	)	PUNCT
brj-24472	21	17	.	.	PUNCT
brj-24472	22	1	as	as	SCONJ
brj-24472	22	2	the	the	DET
brj-24472	22	3	differences	difference	NOUN
brj-24472	22	4	in	in	ADP
brj-24472	22	5	function	function	NOUN
brj-24472	22	6	and	and	CCONJ
brj-24472	22	7	quality	quality	NOUN
brj-24472	22	8	of	of	ADP
brj-24472	22	9	furniture	furniture	NOUN
brj-24472	22	10	companies	company	NOUN
brj-24472	22	11	in	in	ADP
brj-24472	22	12	the	the	DET
brj-24472	22	13	market	market	NOUN
brj-24472	22	14	gradually	gradually	ADV
brj-24472	22	15	narrow	narrow	ADJ
brj-24472	22	16	,	,	PUNCT
brj-24472	22	17	consumers	consumer	NOUN
brj-24472	22	18	are	be	AUX
brj-24472	22	19	more	more	ADV
brj-24472	22	20	likely	likely	ADJ
brj-24472	22	21	to	to	PART
brj-24472	22	22	be	be	AUX
brj-24472	22	23	influenced	influence	VERB
brj-24472	22	24	by	by	ADP
brj-24472	22	25	design	design	NOUN
brj-24472	22	26	and	and	CCONJ
brj-24472	22	27	brand	brand	NOUN
brj-24472	22	28	image	image	NOUN
brj-24472	22	29	when	when	SCONJ
brj-24472	22	30	faced	face	VERB
brj-24472	22	31	with	with	ADP
brj-24472	22	32	numerous	numerous	ADJ
brj-24472	22	33	choices	choice	NOUN
brj-24472	22	34	(	(	PUNCT
brj-24472	22	35	al	al	PROPN
brj-24472	22	36	hamli	hamli	ADV
brj-24472	22	37	and	and	CCONJ
brj-24472	22	38	sobaih	sobaih	ADJ
brj-24472	22	39	2023	2023	NUM
brj-24472	22	40	)	)	PUNCT
brj-24472	22	41	.	.	PUNCT
brj-24472	23	1	therefore	therefore	ADV
brj-24472	23	2	,	,	PUNCT
brj-24472	23	3	furniture	furniture	NOUN
brj-24472	23	4	designers	designer	NOUN
brj-24472	23	5	need	need	VERB
brj-24472	23	6	to	to	PART
brj-24472	23	7	pay	pay	VERB
brj-24472	23	8	more	more	ADJ
brj-24472	23	9	attention	attention	NOUN
brj-24472	23	10	to	to	ADP
brj-24472	23	11	product	product	NOUN
brj-24472	23	12	design	design	NOUN
brj-24472	23	13	so	so	SCONJ
brj-24472	23	14	as	as	SCONJ
brj-24472	23	15	to	to	PART
brj-24472	23	16	meet	meet	VERB
brj-24472	23	17	the	the	DET
brj-24472	23	18	needs	need	NOUN
brj-24472	23	19	of	of	ADP
brj-24472	23	20	users	user	NOUN
brj-24472	23	21	.	.	PUNCT
brj-24472	24	1	consumers	consumer	NOUN
brj-24472	24	2	can	can	AUX
brj-24472	24	3	be	be	AUX
brj-24472	24	4	attracted	attract	VERB
brj-24472	24	5	by	by	ADP
brj-24472	24	6	the	the	DET
brj-24472	24	7	shape	shape	NOUN
brj-24472	24	8	of	of	ADP
brj-24472	24	9	furniture	furniture	NOUN
brj-24472	24	10	and	and	CCONJ
brj-24472	24	11	details	detail	NOUN
brj-24472	24	12	that	that	PRON
brj-24472	24	13	can	can	AUX
brj-24472	24	14	create	create	VERB
brj-24472	24	15	emotional	emotional	ADJ
brj-24472	24	16	resonance	resonance	NOUN
brj-24472	24	17	and	and	CCONJ
brj-24472	24	18	a	a	DET
brj-24472	24	19	memorable	memorable	ADJ
brj-24472	24	20	first	first	ADJ
brj-24472	24	21	impression	impression	NOUN
brj-24472	24	22	(	(	PUNCT
brj-24472	24	23	yu	yu	PROPN
brj-24472	24	24	et	et	PROPN
brj-24472	24	25	al	al	PROPN
brj-24472	24	26	.	.	PROPN
brj-24472	24	27	2024	2024	NUM
brj-24472	24	28	)	)	PUNCT
brj-24472	24	29	.	.	PUNCT
brj-24472	25	1	therefore	therefore	ADV
brj-24472	25	2	,	,	PUNCT
brj-24472	25	3	the	the	DET
brj-24472	25	4	importance	importance	NOUN
brj-24472	25	5	of	of	ADP
brj-24472	25	6	kansei	kansei	ADJ
brj-24472	25	7	design	design	NOUN
brj-24472	25	8	becomes	become	VERB
brj-24472	25	9	more	more	ADV
brj-24472	25	10	prominent	prominent	ADJ
brj-24472	25	11	.	.	PUNCT
brj-24472	26	1	furniture	furniture	NOUN
brj-24472	26	2	design	design	NOUN
brj-24472	26	3	is	be	AUX
brj-24472	26	4	no	no	ADV
brj-24472	26	5	longer	long	ADV
brj-24472	26	6	just	just	ADV
brj-24472	26	7	the	the	DET
brj-24472	26	8	presentation	presentation	NOUN
brj-24472	26	9	of	of	ADP
brj-24472	26	10	practicality	practicality	NOUN
brj-24472	26	11	,	,	PUNCT
brj-24472	26	12	but	but	CCONJ
brj-24472	26	13	enhances	enhance	VERB
brj-24472	26	14	users	user	NOUN
brj-24472	26	15	’	'	PUNCT
brj-24472	26	16	experiences	experience	NOUN
brj-24472	26	17	by	by	ADP
brj-24472	26	18	conveying	convey	VERB
brj-24472	26	19	emotions	emotion	NOUN
brj-24472	26	20	,	,	PUNCT
brj-24472	26	21	stories	story	NOUN
brj-24472	26	22	,	,	PUNCT
brj-24472	26	23	and	and	CCONJ
brj-24472	26	24	cultural	cultural	ADJ
brj-24472	26	25	values	value	NOUN
brj-24472	26	26	(	(	PUNCT
brj-24472	26	27	chen	chen	PROPN
brj-24472	26	28	2022	2022	NUM
brj-24472	26	29	;	;	PUNCT
brj-24472	26	30	zhang	zhang	PROPN
brj-24472	26	31	et	et	PROPN
brj-24472	26	32	al	al	PROPN
brj-24472	26	33	.	.	PROPN
brj-24472	26	34	2022	2022	NUM
brj-24472	26	35	;	;	PUNCT
brj-24472	26	36	zhou	zhou	PROPN
brj-24472	26	37	et	et	PROPN
brj-24472	26	38	al	al	PROPN
brj-24472	26	39	.	.	PROPN
brj-24472	26	40	2023a	2023a	NUM
brj-24472	26	41	)	)	PUNCT
brj-24472	26	42	.	.	PUNCT
brj-24472	27	1	however	however	ADV
brj-24472	27	2	,	,	PUNCT
brj-24472	27	3	there	there	PRON
brj-24472	27	4	is	be	VERB
brj-24472	27	5	a	a	DET
brj-24472	27	6	huge	huge	ADJ
brj-24472	27	7	cognitive	cognitive	ADJ
brj-24472	27	8	difference	difference	NOUN
brj-24472	27	9	between	between	ADP
brj-24472	27	10	designers	designer	NOUN
brj-24472	27	11	and	and	CCONJ
brj-24472	27	12	consumers	consumer	NOUN
brj-24472	27	13	.	.	PUNCT
brj-24472	28	1	it	it	PRON
brj-24472	28	2	is	be	AUX
brj-24472	28	3	impossible	impossible	ADJ
brj-24472	28	4	to	to	PART
brj-24472	28	5	accurately	accurately	ADV
brj-24472	28	6	measure	measure	VERB
brj-24472	28	7	users	user	NOUN
brj-24472	28	8	’	'	PUNCT
brj-24472	28	9	needs	need	NOUN
brj-24472	28	10	,	,	PUNCT
brj-24472	28	11	resulting	result	VERB
brj-24472	28	12	in	in	ADP
brj-24472	28	13	the	the	DET
brj-24472	28	14	difference	difference	NOUN
brj-24472	28	15	between	between	ADP
brj-24472	28	16	the	the	DET
brj-24472	28	17	final	final	ADJ
brj-24472	28	18	product	product	NOUN
brj-24472	28	19	and	and	CCONJ
brj-24472	28	20	the	the	DET
brj-24472	28	21	real	real	ADJ
brj-24472	28	22	needs	need	NOUN
brj-24472	28	23	of	of	ADP
brj-24472	28	24	users	user	NOUN
brj-24472	28	25	.	.	PUNCT
brj-24472	29	1	therefore	therefore	ADV
brj-24472	29	2	,	,	PUNCT
brj-24472	29	3	designers	designer	NOUN
brj-24472	29	4	can	can	AUX
brj-24472	29	5	cooperate	cooperate	VERB
brj-24472	29	6	with	with	ADP
brj-24472	29	7	industry	industry	NOUN
brj-24472	29	8	experts	expert	NOUN
brj-24472	29	9	through	through	ADP
brj-24472	29	10	an	an	DET
brj-24472	29	11	integrated	integrated	ADJ
brj-24472	29	12	approach	approach	NOUN
brj-24472	29	13	.	.	PUNCT
brj-24472	30	1	designers	designer	NOUN
brj-24472	30	2	can	can	AUX
brj-24472	30	3	convey	convey	VERB
brj-24472	30	4	emotions	emotion	NOUN
brj-24472	30	5	through	through	ADP
brj-24472	30	6	language	language	NOUN
brj-24472	30	7	design	design	NOUN
brj-24472	30	8	and	and	CCONJ
brj-24472	30	9	incorporate	incorporate	VERB
brj-24472	30	10	brand	brand	NOUN
brj-24472	30	11	stories	story	NOUN
brj-24472	30	12	into	into	ADP
brj-24472	30	13	products	product	NOUN
brj-24472	30	14	to	to	PART
brj-24472	30	15	enhance	enhance	VERB
brj-24472	30	16	consumers	consumer	NOUN
brj-24472	30	17	’	'	PUNCT
brj-24472	30	18	identify	identify	VERB
brj-24472	30	19	(	(	PUNCT
brj-24472	30	20	yang	yang	PROPN
brj-24472	30	21	et	et	PROPN
brj-24472	30	22	al	al	PROPN
brj-24472	30	23	.	.	PROPN
brj-24472	30	24	2024	2024	NUM
brj-24472	30	25	)	)	PUNCT
brj-24472	30	26	.	.	PUNCT
brj-24472	31	1	kansei	kansei	ADJ
brj-24472	31	2	engineering	engineering	NOUN
brj-24472	31	3	(	(	PUNCT
brj-24472	31	4	ke	ke	NOUN
brj-24472	31	5	)	)	PUNCT
brj-24472	31	6	is	be	AUX
brj-24472	31	7	an	an	DET
brj-24472	31	8	interdisciplinary	interdisciplinary	ADJ
brj-24472	31	9	approach	approach	NOUN
brj-24472	31	10	that	that	PRON
brj-24472	31	11	combines	combine	VERB
brj-24472	31	12	the	the	DET
brj-24472	31	13	emotional	emotional	ADJ
brj-24472	31	14	needs	need	NOUN
brj-24472	31	15	of	of	ADP
brj-24472	31	16	users	user	NOUN
brj-24472	31	17	with	with	ADP
brj-24472	31	18	product	product	NOUN
brj-24472	31	19	design	design	NOUN
brj-24472	31	20	,	,	PUNCT
brj-24472	31	21	which	which	PRON
brj-24472	31	22	aims	aim	VERB
brj-24472	31	23	to	to	PART
brj-24472	31	24	improve	improve	VERB
brj-24472	31	25	the	the	DET
brj-24472	31	26	market	market	NOUN
brj-24472	31	27	competitiveness	competitiveness	NOUN
brj-24472	31	28	of	of	ADP
brj-24472	31	29	products	product	NOUN
brj-24472	31	30	by	by	ADP
brj-24472	31	31	understanding	understanding	NOUN
brj-24472	31	32	and	and	CCONJ
brj-24472	31	33	satisfying	satisfy	VERB
brj-24472	31	34	the	the	DET
brj-24472	31	35	emotional	emotional	ADJ
brj-24472	31	36	experience	experience	NOUN
brj-24472	31	37	of	of	ADP
brj-24472	31	38	consumers	consumer	NOUN
brj-24472	31	39	(	(	PUNCT
brj-24472	31	40	nagamachi	nagamachi	PROPN
brj-24472	31	41	1995	1995	NUM
brj-24472	31	42	;	;	PUNCT
brj-24472	31	43	yang	yang	PROPN
brj-24472	31	44	et	et	PROPN
brj-24472	31	45	al	al	PROPN
brj-24472	31	46	.	.	PROPN
brj-24472	31	47	2023	2023	NUM
brj-24472	31	48	)	)	PUNCT
brj-24472	31	49	.	.	PUNCT
brj-24472	32	1	as	as	SCONJ
brj-24472	32	2	consumers	consumer	NOUN
brj-24472	32	3	increasingly	increasingly	ADV
brj-24472	32	4	attach	attach	VERB
brj-24472	32	5	importance	importance	NOUN
brj-24472	32	6	to	to	ADP
brj-24472	32	7	the	the	DET
brj-24472	32	8	emotional	emotional	ADJ
brj-24472	32	9	value	value	NOUN
brj-24472	32	10	of	of	ADP
brj-24472	32	11	products	product	NOUN
brj-24472	32	12	,	,	PUNCT
brj-24472	32	13	ke	ke	PROPN
brj-24472	32	14	has	have	AUX
brj-24472	32	15	been	be	AUX
brj-24472	32	16	widely	widely	ADV
brj-24472	32	17	applied	apply	VERB
brj-24472	32	18	in	in	ADP
brj-24472	32	19	such	such	ADJ
brj-24472	32	20	fields	field	NOUN
brj-24472	32	21	as	as	ADP
brj-24472	32	22	product	product	NOUN
brj-24472	32	23	design	design	NOUN
brj-24472	32	24	(	(	PUNCT
brj-24472	32	25	fu	fu	NOUN
brj-24472	32	26	et	et	PROPN
brj-24472	32	27	al	al	PROPN
brj-24472	32	28	.	.	PROPN
brj-24472	32	29	2024	2024	NUM
brj-24472	32	30	)	)	PUNCT
brj-24472	32	31	,	,	PUNCT
brj-24472	32	32	user	user	NOUN
brj-24472	32	33	experience	experience	NOUN
brj-24472	32	34	(	(	PUNCT
brj-24472	32	35	liu	liu	PROPN
brj-24472	32	36	and	and	CCONJ
brj-24472	32	37	yang	yang	PROPN
brj-24472	32	38	2022	2022	NUM
brj-24472	32	39	)	)	PUNCT
brj-24472	32	40	,	,	PUNCT
brj-24472	32	41	clothing	clothing	NOUN
brj-24472	32	42	design	design	NOUN
brj-24472	32	43	(	(	PUNCT
brj-24472	32	44	ge	ge	PROPN
brj-24472	32	45	et	et	PROPN
brj-24472	32	46	al	al	PROPN
brj-24472	32	47	.	.	PROPN
brj-24472	32	48	2023	2023	NUM
brj-24472	32	49	;	;	PUNCT
brj-24472	32	50	jiang	jiang	PROPN
brj-24472	32	51	et	et	PROPN
brj-24472	32	52	al	al	PROPN
brj-24472	32	53	.	.	PROPN
brj-24472	32	54	2024	2024	NUM
brj-24472	32	55	)	)	PUNCT
brj-24472	32	56	and	and	CCONJ
brj-24472	32	57	service	service	NOUN
brj-24472	32	58	innovation	innovation	NOUN
brj-24472	32	59	(	(	PUNCT
brj-24472	32	60	hartono	hartono	X
brj-24472	32	61	et	et	PROPN
brj-24472	32	62	al	al	PROPN
brj-24472	32	63	.	.	PROPN
brj-24472	32	64	2024	2024	NUM
brj-24472	32	65	)	)	PUNCT
brj-24472	32	66	.	.	PUNCT
brj-24472	33	1	however	however	ADV
brj-24472	33	2	,	,	PUNCT
brj-24472	33	3	in	in	ADP
brj-24472	33	4	practical	practical	ADJ
brj-24472	33	5	application	application	NOUN
brj-24472	33	6	,	,	PUNCT
brj-24472	33	7	ke	ke	PROPN
brj-24472	33	8	faces	face	VERB
brj-24472	33	9	two	two	NUM
brj-24472	33	10	major	major	ADJ
brj-24472	33	11	challenges	challenge	NOUN
brj-24472	33	12	.	.	PUNCT
brj-24472	34	1	(	(	PUNCT
brj-24472	34	2	1	1	X
brj-24472	34	3	)	)	PUNCT
brj-24472	34	4	the	the	DET
brj-24472	34	5	first	first	ADJ
brj-24472	34	6	challenge	challenge	NOUN
brj-24472	34	7	is	be	AUX
brj-24472	34	8	to	to	PART
brj-24472	34	9	extract	extract	VERB
brj-24472	34	10	users	user	NOUN
brj-24472	34	11	’	'	PUNCT
brj-24472	34	12	emotional	emotional	ADJ
brj-24472	34	13	needs	need	NOUN
brj-24472	34	14	.	.	PUNCT
brj-24472	35	1	at	at	ADP
brj-24472	35	2	present	present	ADJ
brj-24472	35	3	,	,	PUNCT
brj-24472	35	4	researchers	researcher	NOUN
brj-24472	35	5	usually	usually	ADV
brj-24472	35	6	use	use	VERB
brj-24472	35	7	quantitative	quantitative	ADJ
brj-24472	35	8	methods	method	NOUN
brj-24472	35	9	such	such	ADJ
brj-24472	35	10	as	as	ADP
brj-24472	35	11	analytic	analytic	ADJ
brj-24472	35	12	hierarchy	hierarchy	NOUN
brj-24472	35	13	process	process	NOUN
brj-24472	35	14	(	(	PUNCT
brj-24472	35	15	ahp	ahp	NOUN
brj-24472	35	16	)	)	PUNCT
brj-24472	35	17	and	and	CCONJ
brj-24472	35	18	fuzzy	fuzzy	ADJ
brj-24472	35	19	analytic	analytic	ADJ
brj-24472	35	20	hierarchy	hierarchy	NOUN
brj-24472	35	21	process	process	NOUN
brj-24472	35	22	(	(	PUNCT
brj-24472	35	23	fahp	fahp	NOUN
brj-24472	35	24	)	)	PUNCT
brj-24472	35	25	to	to	PART
brj-24472	35	26	obtain	obtain	VERB
brj-24472	35	27	users	user	NOUN
brj-24472	35	28	’	'	PUNCT
brj-24472	35	29	emotional	emotional	ADJ
brj-24472	35	30	feedback	feedback	NOUN
brj-24472	35	31	.	.	PUNCT
brj-24472	36	1	ramanathan	ramanathan	INTJ
brj-24472	36	2	et	et	PROPN
brj-24472	36	3	al	al	PROPN
brj-24472	36	4	.	.	PROPN
brj-24472	37	1	(	(	PUNCT
brj-24472	37	2	2023	2023	NUM
brj-24472	37	3	)	)	PUNCT
brj-24472	37	4	extracted	extract	VERB
brj-24472	37	5	the	the	DET
brj-24472	37	6	necessary	necessary	ADJ
brj-24472	37	7	design	design	NOUN
brj-24472	37	8	elements	element	NOUN
brj-24472	37	9	of	of	ADP
brj-24472	37	10	the	the	DET
brj-24472	37	11	convenient	convenient	ADJ
brj-24472	37	12	skimmer	skimmer	NOUN
brj-24472	37	13	by	by	ADP
brj-24472	37	14	using	use	VERB
brj-24472	37	15	ke	ke	NOUN
brj-24472	37	16	;	;	PUNCT
brj-24472	37	17	the	the	DET
brj-24472	37	18	optimal	optimal	ADJ
brj-24472	37	19	design	design	NOUN
brj-24472	37	20	scheme	scheme	NOUN
brj-24472	37	21	is	be	AUX
brj-24472	37	22	selected	select	VERB
brj-24472	37	23	by	by	ADP
brj-24472	37	24	using	use	VERB
brj-24472	37	25	ahp	ahp	NOUN
brj-24472	37	26	method	method	NOUN
brj-24472	37	27	.	.	PUNCT
brj-24472	38	1	wang	wang	PROPN
brj-24472	38	2	et	et	PROPN
brj-24472	38	3	al	al	PROPN
brj-24472	38	4	.	.	PROPN
brj-24472	39	1	(	(	PUNCT
brj-24472	39	2	2024	2024	NUM
brj-24472	39	3	)	)	PUNCT
brj-24472	39	4	proposed	propose	VERB
brj-24472	39	5	an	an	DET
brj-24472	39	6	ai	ai	NOUN
brj-24472	39	7	-	-	PUNCT
brj-24472	39	8	driven	drive	VERB
brj-24472	39	9	design	design	NOUN
brj-24472	39	10	method	method	NOUN
brj-24472	39	11	which	which	PRON
brj-24472	39	12	combines	combine	VERB
brj-24472	39	13	shape	shape	NOUN
brj-24472	39	14	grammar	grammar	NOUN
brj-24472	39	15	and	and	CCONJ
brj-24472	39	16	ke	ke	NOUN
brj-24472	39	17	.	.	PUNCT
brj-24472	40	1	in	in	ADP
brj-24472	40	2	this	this	DET
brj-24472	40	3	process	process	NOUN
brj-24472	40	4	,	,	PUNCT
brj-24472	40	5	the	the	DET
brj-24472	40	6	hierarchical	hierarchical	ADJ
brj-24472	40	7	structure	structure	NOUN
brj-24472	40	8	model	model	NOUN
brj-24472	40	9	of	of	ADP
brj-24472	40	10	grey	grey	ADJ
brj-24472	40	11	analysis	analysis	NOUN
brj-24472	40	12	is	be	AUX
brj-24472	40	13	used	use	VERB
brj-24472	40	14	to	to	PART
brj-24472	40	15	extract	extract	VERB
brj-24472	40	16	the	the	DET
brj-24472	40	17	optimal	optimal	ADJ
brj-24472	40	18	kansei	kansei	ADJ
brj-24472	40	19	words	word	NOUN
brj-24472	40	20	.	.	PUNCT
brj-24472	41	1	qi	qi	PROPN
brj-24472	41	2	and	and	CCONJ
brj-24472	41	3	kim	kim	PROPN
brj-24472	41	4	(	(	PUNCT
brj-24472	41	5	2024	2024	NUM
brj-24472	41	6	)	)	PUNCT
brj-24472	41	7	adopted	adopt	VERB
brj-24472	41	8	ahp	ahp	NOUN
brj-24472	41	9	to	to	PART
brj-24472	41	10	effectively	effectively	ADV
brj-24472	41	11	combine	combine	VERB
brj-24472	41	12	objective	objective	ADJ
brj-24472	41	13	criteria	criterion	NOUN
brj-24472	41	14	and	and	CCONJ
brj-24472	41	15	subjective	subjective	ADJ
brj-24472	41	16	users	user	NOUN
brj-24472	41	17	’	’	PART
brj-24472	41	18	perception	perception	NOUN
brj-24472	41	19	to	to	PART
brj-24472	41	20	establish	establish	VERB
brj-24472	41	21	the	the	DET
brj-24472	41	22	relationship	relationship	NOUN
brj-24472	41	23	between	between	ADP
brj-24472	41	24	design	design	NOUN
brj-24472	41	25	features	feature	NOUN
brj-24472	41	26	and	and	CCONJ
brj-24472	41	27	emotional	emotional	ADJ
brj-24472	41	28	needs	need	NOUN
brj-24472	41	29	and	and	CCONJ
brj-24472	41	30	establish	establish	VERB
brj-24472	41	31	an	an	DET
brj-24472	41	32	evaluation	evaluation	NOUN
brj-24472	41	33	system	system	NOUN
brj-24472	41	34	of	of	ADP
brj-24472	41	35	design	design	NOUN
brj-24472	41	36	images	image	NOUN
brj-24472	41	37	.	.	PUNCT
brj-24472	42	1	lin	lin	PROPN
brj-24472	42	2	and	and	CCONJ
brj-24472	42	3	zheng	zheng	PROPN
brj-24472	42	4	(	(	PUNCT
brj-24472	42	5	2024	2024	NUM
brj-24472	42	6	)	)	PUNCT
brj-24472	42	7	used	use	VERB
brj-24472	42	8	f_ahp	f_ahp	PROPN
brj-24472	42	9	to	to	PART
brj-24472	42	10	extract	extract	VERB
brj-24472	42	11	the	the	DET
brj-24472	42	12	optimal	optimal	ADJ
brj-24472	42	13	kansei	kansei	ADJ
brj-24472	42	14	needs	need	NOUN
brj-24472	42	15	of	of	ADP
brj-24472	42	16	ar	ar	PROPN
brj-24472	42	17	dashboard	dashboard	PROPN
brj-24472	42	18	’s	’s	PART
brj-24472	42	19	visual	visual	ADJ
brj-24472	42	20	images	image	NOUN
brj-24472	42	21	;	;	PUNCT
brj-24472	42	22	fra	fra	NOUN
brj-24472	42	23	is	be	AUX
brj-24472	42	24	further	far	ADV
brj-24472	42	25	used	use	VERB
brj-24472	42	26	to	to	PART
brj-24472	42	27	extract	extract	VERB
brj-24472	42	28	the	the	DET
brj-24472	42	29	optimal	optimal	ADJ
brj-24472	42	30	ar	ar	NOUN
brj-24472	42	31	dashboard	dashboard	NOUN
brj-24472	42	32	design	design	NOUN
brj-24472	42	33	.	.	PUNCT
brj-24472	43	1	the	the	DET
brj-24472	43	2	above	above	ADJ
brj-24472	43	3	methods	method	NOUN
brj-24472	43	4	,	,	PUNCT
brj-24472	43	5	although	although	SCONJ
brj-24472	43	6	structurally	structurally	ADV
brj-24472	43	7	rigorous	rigorous	ADJ
brj-24472	43	8	,	,	PUNCT
brj-24472	43	9	have	have	VERB
brj-24472	43	10	a	a	DET
brj-24472	43	11	high	high	ADJ
brj-24472	43	12	computational	computational	ADJ
brj-24472	43	13	complexity	complexity	NOUN
brj-24472	43	14	when	when	SCONJ
brj-24472	43	15	dealing	deal	VERB
brj-24472	43	16	with	with	ADP
brj-24472	43	17	multidimensional	multidimensional	ADJ
brj-24472	43	18	and	and	CCONJ
brj-24472	43	19	multilevel	multilevel	ADJ
brj-24472	43	20	data	datum	NOUN
brj-24472	43	21	.	.	PUNCT
brj-24472	44	1	in	in	ADP
brj-24472	44	2	contrast	contrast	NOUN
brj-24472	44	3	,	,	PUNCT
brj-24472	44	4	rough	rough	ADJ
brj-24472	44	5	set	set	NOUN
brj-24472	44	6	theory	theory	NOUN
brj-24472	44	7	(	(	PUNCT
brj-24472	44	8	rst	rst	PROPN
brj-24472	44	9	)	)	PUNCT
brj-24472	44	10	provides	provide	VERB
brj-24472	44	11	an	an	DET
brj-24472	44	12	effective	effective	ADJ
brj-24472	44	13	tool	tool	NOUN
brj-24472	44	14	for	for	ADP
brj-24472	44	15	data	datum	NOUN
brj-24472	44	16	analysis	analysis	NOUN
brj-24472	44	17	that	that	PRON
brj-24472	44	18	can	can	AUX
brj-24472	44	19	extract	extract	VERB
brj-24472	44	20	meaningful	meaningful	ADJ
brj-24472	44	21	knowledge	knowledge	NOUN
brj-24472	44	22	from	from	ADP
brj-24472	44	23	incomplete	incomplete	ADJ
brj-24472	44	24	or	or	CCONJ
brj-24472	44	25	uncertain	uncertain	ADJ
brj-24472	44	26	information	information	NOUN
brj-24472	44	27	without	without	ADP
brj-24472	44	28	relying	rely	VERB
brj-24472	44	29	on	on	ADP
brj-24472	44	30	precise	precise	ADJ
brj-24472	44	31	attribute	attribute	NOUN
brj-24472	44	32	values	value	NOUN
brj-24472	44	33	to	to	PART
brj-24472	44	34	better	well	ADV
brj-24472	44	35	capture	capture	VERB
brj-24472	44	36	the	the	DET
brj-24472	44	37	emotional	emotional	ADJ
brj-24472	44	38	needs	need	NOUN
brj-24472	44	39	of	of	ADP
brj-24472	44	40	users	user	NOUN
brj-24472	44	41	(	(	PUNCT
brj-24472	44	42	pawlak	pawlak	ADJ
brj-24472	44	43	1998	1998	NUM
brj-24472	44	44	;	;	PUNCT
brj-24472	44	45	thangavel	thangavel	NOUN
brj-24472	44	46	and	and	CCONJ
brj-24472	44	47	pethalakshmi	pethalakshmi	NOUN
brj-24472	44	48	2009	2009	NUM
brj-24472	44	49	;	;	PUNCT
brj-24472	44	50	zhang	zhang	PROPN
brj-24472	44	51	et	et	PROPN
brj-24472	44	52	al	al	PROPN
brj-24472	44	53	.	.	PROPN
brj-24472	44	54	2016	2016	NUM
brj-24472	44	55	)	)	PUNCT
brj-24472	44	56	.	.	PUNCT
brj-24472	45	1	this	this	DET
brj-24472	45	2	method	method	NOUN
brj-24472	45	3	is	be	AUX
brj-24472	45	4	especially	especially	ADV
brj-24472	45	5	suitable	suitable	ADJ
brj-24472	45	6	for	for	ADP
brj-24472	45	7	dealing	deal	VERB
brj-24472	45	8	with	with	ADP
brj-24472	45	9	complex	complex	ADJ
brj-24472	45	10	emotional	emotional	ADJ
brj-24472	45	11	needs	need	NOUN
brj-24472	45	12	,	,	PUNCT
brj-24472	45	13	because	because	SCONJ
brj-24472	45	14	the	the	DET
brj-24472	45	15	emotions	emotion	NOUN
brj-24472	45	16	of	of	ADP
brj-24472	45	17	consumers	consumer	NOUN
brj-24472	45	18	are	be	AUX
brj-24472	45	19	often	often	ADV
brj-24472	45	20	difficult	difficult	ADJ
brj-24472	45	21	to	to	PART
brj-24472	45	22	accurately	accurately	ADV
brj-24472	45	23	describe	describe	VERB
brj-24472	45	24	by	by	ADP
brj-24472	45	25	traditional	traditional	ADJ
brj-24472	45	26	quantitative	quantitative	ADJ
brj-24472	45	27	indicators	indicator	NOUN
brj-24472	45	28	,	,	PUNCT
brj-24472	45	29	while	while	SCONJ
brj-24472	45	30	the	the	DET
brj-24472	45	31	rst	rst	PROPN
brj-24472	45	32	can	can	AUX
brj-24472	45	33	reduce	reduce	VERB
brj-24472	45	34	the	the	DET
brj-24472	45	35	requirement	requirement	NOUN
brj-24472	45	36	for	for	ADP
brj-24472	45	37	accuracy	accuracy	NOUN
brj-24472	45	38	while	while	SCONJ
brj-24472	45	39	retaining	retain	VERB
brj-24472	45	40	important	important	ADJ
brj-24472	45	41	information	information	NOUN
brj-24472	45	42	(	(	PUNCT
brj-24472	45	43	sato	sato	PROPN
brj-24472	45	44	et	et	PROPN
brj-24472	45	45	al	al	PROPN
brj-24472	45	46	.	.	PROPN
brj-24472	45	47	2022	2022	NUM
brj-24472	45	48	)	)	PUNCT
brj-24472	45	49	.	.	PUNCT
brj-24472	46	1	li	li	PROPN
brj-24472	46	2	(	(	PUNCT
brj-24472	46	3	2024	2024	NUM
brj-24472	46	4	)	)	PUNCT
brj-24472	46	5	used	use	VERB
brj-24472	46	6	rst	rst	PROPN
brj-24472	46	7	to	to	PART
brj-24472	46	8	extract	extract	VERB
brj-24472	46	9	products	product	NOUN
brj-24472	46	10	’	'	PUNCT
brj-24472	46	11	kansei	kansei	VERB
brj-24472	46	12	needs	need	NOUN
brj-24472	46	13	that	that	PRON
brj-24472	46	14	has	have	VERB
brj-24472	46	15	a	a	DET
brj-24472	46	16	significant	significant	ADJ
brj-24472	46	17	impact	impact	NOUN
brj-24472	46	18	on	on	ADP
brj-24472	46	19	customers	customer	NOUN
brj-24472	46	20	’	'	PUNCT
brj-24472	46	21	satisfaction	satisfaction	NOUN
brj-24472	46	22	and	and	CCONJ
brj-24472	46	23	used	use	VERB
brj-24472	46	24	it	it	PRON
brj-24472	46	25	to	to	PART
brj-24472	46	26	analyze	analyze	VERB
brj-24472	46	27	products	product	NOUN
brj-24472	46	28	’	'	PUNCT
brj-24472	46	29	kansei	kansei	ADJ
brj-24472	46	30	knowledge	knowledge	NOUN
brj-24472	46	31	.	.	PUNCT
brj-24472	47	1	chen	chen	PROPN
brj-24472	47	2	(	(	PUNCT
brj-24472	47	3	2024b	2024b	NUM
brj-24472	47	4	)	)	PUNCT
brj-24472	47	5	used	use	VERB
brj-24472	47	6	the	the	DET
brj-24472	47	7	rst	rst	PROPN
brj-24472	47	8	attribute	attribute	NOUN
brj-24472	47	9	reduction	reduction	NOUN
brj-24472	47	10	algorithm	algorithm	NOUN
brj-24472	47	11	to	to	PART
brj-24472	47	12	identify	identify	VERB
brj-24472	47	13	the	the	DET
brj-24472	47	14	form	form	NOUN
brj-24472	47	15	characteristics	characteristic	NOUN
brj-24472	47	16	of	of	ADP
brj-24472	47	17	low	low	ADJ
brj-24472	47	18	-	-	PUNCT
brj-24472	47	19	speed	speed	NOUN
brj-24472	47	20	new	new	ADJ
brj-24472	47	21	energy	energy	NOUN
brj-24472	47	22	vehicles	vehicle	NOUN
brj-24472	47	23	that	that	PRON
brj-24472	47	24	are	be	AUX
brj-24472	47	25	most	most	ADJ
brj-24472	47	26	concern	concern	NOUN
brj-24472	47	27	to	to	ADP
brj-24472	47	28	elderly	elderly	ADJ
brj-24472	47	29	users	user	NOUN
brj-24472	47	30	.	.	PUNCT
brj-24472	48	1	kang	kang	PROPN
brj-24472	48	2	(	(	PUNCT
brj-24472	48	3	2021	2021	NUM
brj-24472	48	4	)	)	PUNCT
brj-24472	48	5	used	use	VERB
brj-24472	48	6	the	the	DET
brj-24472	48	7	rst	rst	PROPN
brj-24472	48	8	attribute	attribute	NOUN
brj-24472	48	9	reduction	reduction	NOUN
brj-24472	48	10	algorithm	algorithm	NOUN
brj-24472	48	11	to	to	PART
brj-24472	48	12	extract	extract	VERB
brj-24472	48	13	the	the	DET
brj-24472	48	14	new	new	ADJ
brj-24472	48	15	energy	energy	NOUN
brj-24472	48	16	vehicle	vehicle	NOUN
brj-24472	48	17	design	design	NOUN
brj-24472	48	18	elements	element	NOUN
brj-24472	48	19	that	that	PRON
brj-24472	48	20	have	have	VERB
brj-24472	48	21	peer	peer	NOUN
brj-24472	48	22	-	-	PUNCT
brj-24472	48	23	reviewed	review	VERB
brj-24472	48	24	article	article	NOUN
brj-24472	48	25	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	48	26	huang	huang	PROPN
brj-24472	48	27	et	et	PROPN
brj-24472	48	28	al	al	PROPN
brj-24472	48	29	.	.	PROPN
brj-24472	49	1	(	(	PUNCT
brj-24472	49	2	2025	2025	NUM
brj-24472	49	3	)	)	PUNCT
brj-24472	49	4	.	.	PUNCT
brj-24472	50	1	“	"	PUNCT
brj-24472	50	2	bamboo	bamboo	NOUN
brj-24472	50	3	furniture	furniture	NOUN
brj-24472	50	4	design	design	NOUN
brj-24472	50	5	,	,	PUNCT
brj-24472	50	6	”	"	PUNCT
brj-24472	50	7	bioresources	bioresource	NOUN
brj-24472	50	8	20(3	20(3	NOUN
brj-24472	50	9	)	)	PUNCT
brj-24472	50	10	,	,	PUNCT
brj-24472	50	11	7107	7107	NUM
brj-24472	50	12	-	-	SYM
brj-24472	50	13	7133	7133	NUM
brj-24472	50	14	.	.	PUNCT
brj-24472	51	1	7109	7109	NUM
brj-24472	51	2	an	an	DET
brj-24472	51	3	important	important	ADJ
brj-24472	51	4	impact	impact	NOUN
brj-24472	51	5	on	on	ADP
brj-24472	51	6	consumers	consumer	NOUN
brj-24472	51	7	’	'	PUNCT
brj-24472	51	8	satisfaction	satisfaction	NOUN
brj-24472	51	9	.	.	PUNCT
brj-24472	52	1	akgul	akgul	NOUN
brj-24472	52	2	et	et	PROPN
brj-24472	52	3	al	al	PROPN
brj-24472	52	4	.	.	PROPN
brj-24472	52	5	(	(	PUNCT
brj-24472	52	6	2020	2020	NUM
brj-24472	52	7	)	)	PUNCT
brj-24472	52	8	explored	explore	VERB
brj-24472	52	9	the	the	DET
brj-24472	52	10	basic	basic	ADJ
brj-24472	52	11	elements	element	NOUN
brj-24472	52	12	of	of	ADP
brj-24472	52	13	new	new	ADJ
brj-24472	52	14	customer	customer	NOUN
brj-24472	52	15	-	-	PUNCT
brj-24472	52	16	oriented	orient	VERB
brj-24472	52	17	baby	baby	NOUN
brj-24472	52	18	bassinet	bassinet	NOUN
brj-24472	52	19	based	base	VERB
brj-24472	52	20	on	on	ADP
brj-24472	52	21	the	the	DET
brj-24472	52	22	ke	ke	NOUN
brj-24472	52	23	method	method	NOUN
brj-24472	52	24	of	of	ADP
brj-24472	52	25	rst	rst	PROPN
brj-24472	52	26	.	.	PUNCT
brj-24472	53	1	chen	chen	PROPN
brj-24472	53	2	(	(	PUNCT
brj-24472	53	3	2024a	2024a	NUM
brj-24472	53	4	)	)	PUNCT
brj-24472	53	5	took	take	VERB
brj-24472	53	6	the	the	DET
brj-24472	53	7	human	human	ADJ
brj-24472	53	8	-	-	PUNCT
brj-24472	53	9	machine	machine	NOUN
brj-24472	53	10	interaction	interaction	NOUN
brj-24472	53	11	interface	interface	NOUN
brj-24472	53	12	of	of	ADP
brj-24472	53	13	autonomous	autonomous	ADJ
brj-24472	53	14	vehicles	vehicle	NOUN
brj-24472	53	15	as	as	SCONJ
brj-24472	53	16	the	the	DET
brj-24472	53	17	research	research	NOUN
brj-24472	53	18	object	object	NOUN
brj-24472	53	19	to	to	PART
brj-24472	53	20	identify	identify	VERB
brj-24472	53	21	him	he	PRON
brj-24472	53	22	interface	interface	NOUN
brj-24472	53	23	elements	element	NOUN
brj-24472	53	24	that	that	PRON
brj-24472	53	25	have	have	VERB
brj-24472	53	26	a	a	DET
brj-24472	53	27	greater	great	ADJ
brj-24472	53	28	impact	impact	NOUN
brj-24472	53	29	on	on	ADP
brj-24472	53	30	elderly	elderly	ADJ
brj-24472	53	31	users	user	NOUN
brj-24472	53	32	.	.	PUNCT
brj-24472	54	1	in	in	ADP
brj-24472	54	2	the	the	DET
brj-24472	54	3	field	field	NOUN
brj-24472	54	4	of	of	ADP
brj-24472	54	5	ke	ke	NOUN
brj-24472	54	6	,	,	PUNCT
brj-24472	54	7	many	many	ADJ
brj-24472	54	8	researchers	researcher	NOUN
brj-24472	54	9	have	have	AUX
brj-24472	54	10	begun	begin	VERB
brj-24472	54	11	to	to	PART
brj-24472	54	12	focus	focus	VERB
brj-24472	54	13	on	on	ADP
brj-24472	54	14	how	how	SCONJ
brj-24472	54	15	to	to	PART
brj-24472	54	16	use	use	VERB
brj-24472	54	17	rst	rst	PROPN
brj-24472	54	18	to	to	PART
brj-24472	54	19	establish	establish	VERB
brj-24472	54	20	a	a	DET
brj-24472	54	21	relationship	relationship	NOUN
brj-24472	54	22	with	with	ADP
brj-24472	54	23	consumers	consumer	NOUN
brj-24472	54	24	'	'	PART
brj-24472	54	25	emotional	emotional	ADJ
brj-24472	54	26	needs	need	NOUN
brj-24472	54	27	,	,	PUNCT
brj-24472	54	28	but	but	CCONJ
brj-24472	54	29	there	there	PRON
brj-24472	54	30	is	be	VERB
brj-24472	54	31	still	still	ADV
brj-24472	54	32	a	a	DET
brj-24472	54	33	problem	problem	NOUN
brj-24472	54	34	of	of	ADP
brj-24472	54	35	insufficient	insufficient	ADJ
brj-24472	54	36	depth	depth	NOUN
brj-24472	54	37	and	and	CCONJ
brj-24472	54	38	breadth	breadth	NOUN
brj-24472	54	39	of	of	ADP
brj-24472	54	40	application	application	NOUN
brj-24472	54	41	of	of	ADP
brj-24472	54	42	rst	rst	PROPN
brj-24472	54	43	.	.	PUNCT
brj-24472	55	1	therefore	therefore	ADV
brj-24472	55	2	,	,	PUNCT
brj-24472	55	3	this	this	DET
brj-24472	55	4	study	study	NOUN
brj-24472	55	5	aims	aim	VERB
brj-24472	55	6	to	to	PART
brj-24472	55	7	further	far	ADV
brj-24472	55	8	explore	explore	VERB
brj-24472	55	9	the	the	DET
brj-24472	55	10	application	application	NOUN
brj-24472	55	11	of	of	ADP
brj-24472	55	12	rst	rst	PROPN
brj-24472	55	13	attribute	attribute	NOUN
brj-24472	55	14	reduction	reduction	NOUN
brj-24472	55	15	algorithm	algorithm	NOUN
brj-24472	55	16	in	in	ADP
brj-24472	55	17	extracting	extract	VERB
brj-24472	55	18	the	the	DET
brj-24472	55	19	optimal	optimal	ADJ
brj-24472	55	20	emotional	emotional	ADJ
brj-24472	55	21	needs	need	NOUN
brj-24472	55	22	of	of	ADP
brj-24472	55	23	consumers	consumer	NOUN
brj-24472	55	24	;	;	PUNCT
brj-24472	55	25	a	a	DET
brj-24472	55	26	more	more	ADV
brj-24472	55	27	systematic	systematic	ADJ
brj-24472	55	28	and	and	CCONJ
brj-24472	55	29	comprehensive	comprehensive	ADJ
brj-24472	55	30	model	model	NOUN
brj-24472	55	31	is	be	AUX
brj-24472	55	32	built	build	VERB
brj-24472	55	33	in	in	ADP
brj-24472	55	34	order	order	NOUN
brj-24472	55	35	to	to	PART
brj-24472	55	36	more	more	ADV
brj-24472	55	37	accurately	accurately	ADV
brj-24472	55	38	capture	capture	VERB
brj-24472	55	39	consumers	consumer	NOUN
brj-24472	55	40	’	'	PUNCT
brj-24472	55	41	innermost	innermost	ADJ
brj-24472	55	42	emotional	emotional	ADJ
brj-24472	55	43	expectations	expectation	NOUN
brj-24472	55	44	.	.	PUNCT
brj-24472	56	1	the	the	DET
brj-24472	56	2	second	second	ADJ
brj-24472	56	3	challenge	challenge	NOUN
brj-24472	56	4	of	of	ADP
brj-24472	56	5	ke	ke	NOUN
brj-24472	56	6	is	be	AUX
brj-24472	56	7	to	to	PART
brj-24472	56	8	establish	establish	VERB
brj-24472	56	9	a	a	DET
brj-24472	56	10	mapping	mapping	NOUN
brj-24472	56	11	relationship	relationship	NOUN
brj-24472	56	12	between	between	ADP
brj-24472	56	13	products	product	NOUN
brj-24472	56	14	and	and	CCONJ
brj-24472	56	15	emotions	emotion	NOUN
brj-24472	56	16	(	(	PUNCT
brj-24472	56	17	kang	kang	PROPN
brj-24472	56	18	2024	2024	NUM
brj-24472	56	19	)	)	PUNCT
brj-24472	56	20	.	.	PUNCT
brj-24472	57	1	at	at	ADP
brj-24472	57	2	present	present	ADJ
brj-24472	57	3	,	,	PUNCT
brj-24472	57	4	many	many	ADJ
brj-24472	57	5	researchers	researcher	NOUN
brj-24472	57	6	use	use	VERB
brj-24472	57	7	traditional	traditional	ADJ
brj-24472	57	8	quality	quality	NOUN
brj-24472	57	9	function	function	NOUN
brj-24472	57	10	deployment	deployment	NOUN
brj-24472	57	11	(	(	PUNCT
brj-24472	57	12	qfd	qfd	NOUN
brj-24472	57	13	)	)	PUNCT
brj-24472	57	14	(	(	PUNCT
brj-24472	57	15	ginting	ginte	VERB
brj-24472	57	16	et	et	PROPN
brj-24472	57	17	al	al	PROPN
brj-24472	57	18	.	.	PROPN
brj-24472	57	19	2020	2020	NUM
brj-24472	57	20	)	)	PUNCT
brj-24472	57	21	,	,	PUNCT
brj-24472	57	22	fuzzy	fuzzy	ADJ
brj-24472	57	23	qfd	qfd	NOUN
brj-24472	57	24	(	(	PUNCT
brj-24472	57	25	fu	fu	NOUN
brj-24472	57	26	et	et	PROPN
brj-24472	57	27	al	al	PROPN
brj-24472	57	28	.	.	PROPN
brj-24472	57	29	2024	2024	NUM
brj-24472	57	30	)	)	PUNCT
brj-24472	57	31	quantitative	quantitative	ADJ
brj-24472	57	32	type	type	NOUN
brj-24472	57	33	1	1	NUM
brj-24472	57	34	,	,	PUNCT
brj-24472	57	35	multiple	multiple	ADJ
brj-24472	57	36	linear	linear	NOUN
brj-24472	57	37	regression	regression	NOUN
brj-24472	57	38	,	,	PUNCT
brj-24472	57	39	kano	kano	PROPN
brj-24472	57	40	(	(	PUNCT
brj-24472	57	41	cai	cai	X
brj-24472	57	42	et	et	PROPN
brj-24472	57	43	al	al	PROPN
brj-24472	57	44	.	.	PROPN
brj-24472	57	45	2023	2023	NUM
brj-24472	57	46	)	)	PUNCT
brj-24472	57	47	and	and	CCONJ
brj-24472	57	48	other	other	ADJ
brj-24472	57	49	methods	method	NOUN
brj-24472	57	50	to	to	PART
brj-24472	57	51	establish	establish	VERB
brj-24472	57	52	the	the	DET
brj-24472	57	53	mapping	mapping	NOUN
brj-24472	57	54	relationship	relationship	NOUN
brj-24472	57	55	between	between	ADP
brj-24472	57	56	users	user	NOUN
brj-24472	57	57	’	’	PART
brj-24472	57	58	requirements	requirement	NOUN
brj-24472	57	59	and	and	CCONJ
brj-24472	57	60	design	design	NOUN
brj-24472	57	61	parameters	parameter	NOUN
brj-24472	57	62	.	.	PUNCT
brj-24472	58	1	fu	fu	PROPN
brj-24472	58	2	et	et	PROPN
brj-24472	58	3	al	al	PROPN
brj-24472	58	4	.	.	PROPN
brj-24472	59	1	(	(	PUNCT
brj-24472	59	2	2024	2024	NUM
brj-24472	59	3	)	)	PUNCT
brj-24472	59	4	combined	combine	VERB
brj-24472	59	5	f	f	PROPN
brj-24472	59	6	-	-	PUNCT
brj-24472	59	7	ahp	ahp	PROPN
brj-24472	59	8	and	and	CCONJ
brj-24472	59	9	fuzzy	fuzzy	ADJ
brj-24472	59	10	qfd	qfd	NOUN
brj-24472	59	11	to	to	PART
brj-24472	59	12	develop	develop	VERB
brj-24472	59	13	new	new	ADJ
brj-24472	59	14	mahogany	mahogany	NOUN
brj-24472	59	15	furniture	furniture	NOUN
brj-24472	59	16	that	that	PRON
brj-24472	59	17	is	be	AUX
brj-24472	59	18	in	in	ADP
brj-24472	59	19	line	line	NOUN
brj-24472	59	20	with	with	ADP
brj-24472	59	21	users	user	NOUN
brj-24472	59	22	’	'	PUNCT
brj-24472	59	23	emotions	emotion	NOUN
brj-24472	59	24	;	;	PUNCT
brj-24472	59	25	fuzzy	fuzzy	ADJ
brj-24472	59	26	qfd	qfd	NOUN
brj-24472	59	27	is	be	AUX
brj-24472	59	28	used	use	VERB
brj-24472	59	29	to	to	PART
brj-24472	59	30	establish	establish	VERB
brj-24472	59	31	the	the	DET
brj-24472	59	32	relationship	relationship	NOUN
brj-24472	59	33	between	between	ADP
brj-24472	59	34	consumers	consumer	NOUN
brj-24472	59	35	’	’	PART
brj-24472	59	36	needs	need	NOUN
brj-24472	59	37	and	and	CCONJ
brj-24472	59	38	engineering	engineering	NOUN
brj-24472	59	39	characteristics	characteristic	NOUN
brj-24472	59	40	;	;	PUNCT
brj-24472	59	41	and	and	CCONJ
brj-24472	59	42	then	then	ADV
brj-24472	59	43	the	the	DET
brj-24472	59	44	priority	priority	NOUN
brj-24472	59	45	of	of	ADP
brj-24472	59	46	mahogany	mahogany	NOUN
brj-24472	59	47	furniture	furniture	NOUN
brj-24472	59	48	design	design	NOUN
brj-24472	59	49	elements	element	NOUN
brj-24472	59	50	is	be	AUX
brj-24472	59	51	determined	determine	VERB
brj-24472	59	52	.	.	PUNCT
brj-24472	60	1	wang	wang	PROPN
brj-24472	60	2	and	and	CCONJ
brj-24472	60	3	yang	yang	PROPN
brj-24472	60	4	(	(	PUNCT
brj-24472	60	5	2023	2023	NUM
brj-24472	60	6	)	)	PUNCT
brj-24472	60	7	applied	apply	VERB
brj-24472	60	8	gra	gra	PROPN
brj-24472	60	9	,	,	PUNCT
brj-24472	60	10	qfd	qfd	NOUN
brj-24472	60	11	and	and	CCONJ
brj-24472	60	12	other	other	ADJ
brj-24472	60	13	models	model	NOUN
brj-24472	60	14	to	to	ADP
brj-24472	60	15	the	the	DET
brj-24472	60	16	design	design	NOUN
brj-24472	60	17	of	of	ADP
brj-24472	60	18	wicker	wicker	PROPN
brj-24472	60	19	development	development	PROPN
brj-24472	60	20	.	.	PUNCT
brj-24472	61	1	gra	gra	PROPN
brj-24472	61	2	is	be	AUX
brj-24472	61	3	used	use	VERB
brj-24472	61	4	to	to	PART
brj-24472	61	5	extract	extract	VERB
brj-24472	61	6	key	key	ADJ
brj-24472	61	7	emotional	emotional	ADJ
brj-24472	61	8	needs	need	NOUN
brj-24472	61	9	.	.	PUNCT
brj-24472	62	1	qfd	qfd	NOUN
brj-24472	62	2	is	be	AUX
brj-24472	62	3	used	use	VERB
brj-24472	62	4	to	to	PART
brj-24472	62	5	build	build	VERB
brj-24472	62	6	a	a	DET
brj-24472	62	7	transformation	transformation	NOUN
brj-24472	62	8	model	model	NOUN
brj-24472	62	9	between	between	ADP
brj-24472	62	10	emotional	emotional	ADJ
brj-24472	62	11	needs	need	NOUN
brj-24472	62	12	and	and	CCONJ
brj-24472	62	13	design	design	NOUN
brj-24472	62	14	parameters	parameter	NOUN
brj-24472	62	15	;	;	PUNCT
brj-24472	62	16	the	the	DET
brj-24472	62	17	optimal	optimal	ADJ
brj-24472	62	18	design	design	NOUN
brj-24472	62	19	parameter	parameter	NOUN
brj-24472	62	20	is	be	AUX
brj-24472	62	21	derived	derive	VERB
brj-24472	62	22	.	.	PUNCT
brj-24472	63	1	li	li	PROPN
brj-24472	63	2	et	et	PROPN
brj-24472	63	3	al	al	PROPN
brj-24472	63	4	.	.	PROPN
brj-24472	64	1	(	(	PUNCT
brj-24472	64	2	2024	2024	NUM
brj-24472	64	3	)	)	PUNCT
brj-24472	64	4	aimed	aim	VERB
brj-24472	64	5	to	to	PART
brj-24472	64	6	determine	determine	VERB
brj-24472	64	7	the	the	DET
brj-24472	64	8	needs	need	NOUN
brj-24472	64	9	of	of	ADP
brj-24472	64	10	elderly	elderly	ADJ
brj-24472	64	11	users	user	NOUN
brj-24472	64	12	for	for	ADP
brj-24472	64	13	home	home	NOUN
brj-24472	64	14	glucose	glucose	NOUN
brj-24472	64	15	meters	meter	NOUN
brj-24472	64	16	;	;	PUNCT
brj-24472	64	17	qfd	qfd	NOUN
brj-24472	64	18	is	be	AUX
brj-24472	64	19	used	use	VERB
brj-24472	64	20	to	to	PART
brj-24472	64	21	determine	determine	VERB
brj-24472	64	22	the	the	DET
brj-24472	64	23	relationship	relationship	NOUN
brj-24472	64	24	between	between	ADP
brj-24472	64	25	specific	specific	ADJ
brj-24472	64	26	product	product	NOUN
brj-24472	64	27	functions	function	NOUN
brj-24472	64	28	and	and	CCONJ
brj-24472	64	29	service	service	NOUN
brj-24472	64	30	design	design	NOUN
brj-24472	64	31	elements	element	NOUN
brj-24472	64	32	after	after	ADP
brj-24472	64	33	determining	determine	VERB
brj-24472	64	34	the	the	DET
brj-24472	64	35	priority	priority	NOUN
brj-24472	64	36	of	of	ADP
brj-24472	64	37	demands	demand	NOUN
brj-24472	64	38	.	.	PUNCT
brj-24472	65	1	although	although	SCONJ
brj-24472	65	2	the	the	DET
brj-24472	65	3	above	above	ADJ
brj-24472	65	4	methods	method	NOUN
brj-24472	65	5	are	be	AUX
brj-24472	65	6	effective	effective	ADJ
brj-24472	65	7	,	,	PUNCT
brj-24472	65	8	they	they	PRON
brj-24472	65	9	are	be	AUX
brj-24472	65	10	often	often	ADV
brj-24472	65	11	insufficient	insufficient	ADJ
brj-24472	65	12	in	in	ADP
brj-24472	65	13	dealing	deal	VERB
brj-24472	65	14	with	with	ADP
brj-24472	65	15	complex	complex	ADJ
brj-24472	65	16	nonlinear	nonlinear	ADJ
brj-24472	65	17	relationships	relationship	NOUN
brj-24472	65	18	.	.	PUNCT
brj-24472	66	1	these	these	DET
brj-24472	66	2	methods	method	NOUN
brj-24472	66	3	are	be	AUX
brj-24472	66	4	prone	prone	ADJ
brj-24472	66	5	to	to	ADP
brj-24472	66	6	over	over	ADP
brj-24472	66	7	fitting	fitting	ADJ
brj-24472	66	8	when	when	SCONJ
brj-24472	66	9	faced	face	VERB
brj-24472	66	10	with	with	ADP
brj-24472	66	11	a	a	DET
brj-24472	66	12	large	large	ADJ
brj-24472	66	13	number	number	NOUN
brj-24472	66	14	of	of	ADP
brj-24472	66	15	variables	variable	NOUN
brj-24472	66	16	and	and	CCONJ
brj-24472	66	17	interaction	interaction	NOUN
brj-24472	66	18	effects	effect	NOUN
brj-24472	66	19	(	(	PUNCT
brj-24472	66	20	wang	wang	PROPN
brj-24472	66	21	et	et	PROPN
brj-24472	66	22	al	al	PROPN
brj-24472	66	23	.	.	PROPN
brj-24472	66	24	2024	2024	NUM
brj-24472	66	25	)	)	PUNCT
brj-24472	66	26	.	.	PUNCT
brj-24472	67	1	in	in	ADP
brj-24472	67	2	contrast	contrast	NOUN
brj-24472	67	3	,	,	PUNCT
brj-24472	67	4	backpropagation	backpropagation	NOUN
brj-24472	67	5	neural	neural	ADJ
brj-24472	67	6	network	network	NOUN
brj-24472	67	7	(	(	PUNCT
brj-24472	67	8	bpnn	bpnn	NOUN
brj-24472	67	9	)	)	PUNCT
brj-24472	67	10	can	can	AUX
brj-24472	67	11	capture	capture	VERB
brj-24472	67	12	complex	complex	ADJ
brj-24472	67	13	nonlinear	nonlinear	ADJ
brj-24472	67	14	relationships	relationship	NOUN
brj-24472	67	15	with	with	ADP
brj-24472	67	16	self	self	NOUN
brj-24472	67	17	-	-	PUNCT
brj-24472	67	18	adaption	adaption	NOUN
brj-24472	67	19	through	through	ADP
brj-24472	67	20	learning	learn	VERB
brj-24472	67	21	a	a	DET
brj-24472	67	22	large	large	ADJ
brj-24472	67	23	number	number	NOUN
brj-24472	67	24	of	of	ADP
brj-24472	67	25	data	datum	NOUN
brj-24472	67	26	samples	sample	NOUN
brj-24472	67	27	,	,	PUNCT
brj-24472	67	28	thereby	thereby	ADV
brj-24472	67	29	improving	improve	VERB
brj-24472	67	30	mapping	mapping	NOUN
brj-24472	67	31	accuracy	accuracy	NOUN
brj-24472	67	32	(	(	PUNCT
brj-24472	67	33	al	al	PROPN
brj-24472	67	34	-	-	PUNCT
brj-24472	67	35	jarrah	jarrah	PROPN
brj-24472	67	36	et	et	PROPN
brj-24472	67	37	al	al	PROPN
brj-24472	67	38	.	.	PROPN
brj-24472	67	39	2022	2022	NUM
brj-24472	67	40	;	;	PUNCT
brj-24472	67	41	lin	lin	PROPN
brj-24472	67	42	et	et	PROPN
brj-24472	67	43	al	al	PROPN
brj-24472	67	44	.	.	PROPN
brj-24472	67	45	2023	2023	NUM
brj-24472	67	46	)	)	PUNCT
brj-24472	67	47	.	.	PUNCT
brj-24472	68	1	in	in	ADP
brj-24472	68	2	order	order	NOUN
brj-24472	68	3	to	to	PART
brj-24472	68	4	explore	explore	VERB
brj-24472	68	5	multi	multi	ADJ
brj-24472	68	6	-	-	ADJ
brj-24472	68	7	sensory	sensory	ADJ
brj-24472	68	8	design	design	NOUN
brj-24472	68	9	of	of	ADP
brj-24472	68	10	products	product	NOUN
brj-24472	68	11	,	,	PUNCT
brj-24472	68	12	li	li	PROPN
brj-24472	68	13	et	et	PROPN
brj-24472	68	14	al	al	PROPN
brj-24472	68	15	.	.	PROPN
brj-24472	68	16	(	(	PUNCT
brj-24472	68	17	2023	2023	NUM
brj-24472	68	18	)	)	PUNCT
brj-24472	68	19	took	take	VERB
brj-24472	68	20	electric	electric	ADJ
brj-24472	68	21	shaver	shaver	NOUN
brj-24472	68	22	as	as	ADP
brj-24472	68	23	the	the	DET
brj-24472	68	24	research	research	NOUN
brj-24472	68	25	object	object	NOUN
brj-24472	68	26	and	and	CCONJ
brj-24472	68	27	used	use	VERB
brj-24472	68	28	bpnn	bpnn	NOUN
brj-24472	68	29	and	and	CCONJ
brj-24472	68	30	ga	ga	PROPN
brj-24472	68	31	-	-	PUNCT
brj-24472	68	32	bpnn	bpnn	NOUN
brj-24472	68	33	to	to	PART
brj-24472	68	34	establish	establish	VERB
brj-24472	68	35	a	a	DET
brj-24472	68	36	predictive	predictive	ADJ
brj-24472	68	37	model	model	NOUN
brj-24472	68	38	between	between	ADP
brj-24472	68	39	design	design	NOUN
brj-24472	68	40	elements	element	NOUN
brj-24472	68	41	and	and	CCONJ
brj-24472	68	42	users	user	NOUN
brj-24472	68	43	’	'	PUNCT
brj-24472	68	44	kansei	kansei	ADJ
brj-24472	68	45	evaluation	evaluation	NOUN
brj-24472	68	46	.	.	PUNCT
brj-24472	69	1	zhao	zhao	PROPN
brj-24472	69	2	et	et	PROPN
brj-24472	69	3	al	al	PROPN
brj-24472	69	4	.	.	PROPN
brj-24472	70	1	(	(	PUNCT
brj-24472	70	2	2024	2024	NUM
brj-24472	70	3	)	)	PUNCT
brj-24472	70	4	used	use	VERB
brj-24472	70	5	whale	whale	NOUN
brj-24472	70	6	to	to	PART
brj-24472	70	7	optimize	optimize	VERB
brj-24472	70	8	bpnn	bpnn	ADV
brj-24472	70	9	and	and	CCONJ
brj-24472	70	10	svr	svr	VERB
brj-24472	70	11	algorithms	algorithm	NOUN
brj-24472	70	12	to	to	PART
brj-24472	70	13	build	build	VERB
brj-24472	70	14	the	the	DET
brj-24472	70	15	relationship	relationship	NOUN
brj-24472	70	16	between	between	ADP
brj-24472	70	17	product	product	NOUN
brj-24472	70	18	shape	shape	NOUN
brj-24472	70	19	and	and	CCONJ
brj-24472	70	20	consumer	consumer	NOUN
brj-24472	70	21	emotion	emotion	NOUN
brj-24472	70	22	;	;	PUNCT
brj-24472	70	23	whiskey	whiskey	NOUN
brj-24472	70	24	bottle	bottle	NOUN
brj-24472	70	25	was	be	AUX
brj-24472	70	26	taken	take	VERB
brj-24472	70	27	as	as	ADP
brj-24472	70	28	the	the	DET
brj-24472	70	29	research	research	NOUN
brj-24472	70	30	object	object	NOUN
brj-24472	70	31	to	to	PART
brj-24472	70	32	predict	predict	VERB
brj-24472	70	33	the	the	DET
brj-24472	70	34	optimal	optimal	ADJ
brj-24472	70	35	design	design	NOUN
brj-24472	70	36	and	and	CCONJ
brj-24472	70	37	discuss	discuss	VERB
brj-24472	70	38	the	the	DET
brj-24472	70	39	accuracy	accuracy	NOUN
brj-24472	70	40	of	of	ADP
brj-24472	70	41	the	the	DET
brj-24472	70	42	nonlinear	nonlinear	ADJ
brj-24472	70	43	model	model	NOUN
brj-24472	70	44	.	.	PUNCT
brj-24472	71	1	zimo	zimo	VERB
brj-24472	71	2	et	et	PROPN
brj-24472	71	3	al	al	PROPN
brj-24472	71	4	.	.	PROPN
brj-24472	72	1	(	(	PUNCT
brj-24472	72	2	2024	2024	NUM
brj-24472	72	3	)	)	PUNCT
brj-24472	72	4	used	use	VERB
brj-24472	72	5	bpnn	bpnn	NOUN
brj-24472	72	6	to	to	PART
brj-24472	72	7	establish	establish	VERB
brj-24472	72	8	the	the	DET
brj-24472	72	9	nonlinear	nonlinear	ADJ
brj-24472	72	10	functional	functional	ADJ
brj-24472	72	11	relationship	relationship	NOUN
brj-24472	72	12	between	between	ADP
brj-24472	72	13	the	the	DET
brj-24472	72	14	morphological	morphological	ADJ
brj-24472	72	15	characteristics	characteristic	NOUN
brj-24472	72	16	of	of	ADP
brj-24472	72	17	the	the	DET
brj-24472	72	18	new	new	ADJ
brj-24472	72	19	energy	energy	NOUN
brj-24472	72	20	vehicles	vehicle	NOUN
brj-24472	72	21	’	'	PUNCT
brj-24472	72	22	front	front	ADJ
brj-24472	72	23	face	face	NOUN
brj-24472	72	24	and	and	CCONJ
brj-24472	72	25	the	the	DET
brj-24472	72	26	emotional	emotional	ADJ
brj-24472	72	27	needs	need	NOUN
brj-24472	72	28	of	of	ADP
brj-24472	72	29	consumers	consumer	NOUN
brj-24472	72	30	,	,	PUNCT
brj-24472	72	31	and	and	CCONJ
brj-24472	72	32	the	the	DET
brj-24472	72	33	optimal	optimal	ADJ
brj-24472	72	34	design	design	NOUN
brj-24472	72	35	combination	combination	NOUN
brj-24472	72	36	of	of	ADP
brj-24472	72	37	new	new	ADJ
brj-24472	72	38	energy	energy	NOUN
brj-24472	72	39	vehicles	vehicle	NOUN
brj-24472	72	40	’	'	PUNCT
brj-24472	72	41	front	front	ADJ
brj-24472	72	42	face	face	NOUN
brj-24472	72	43	was	be	AUX
brj-24472	72	44	predicted	predict	VERB
brj-24472	72	45	.	.	PUNCT
brj-24472	73	1	although	although	SCONJ
brj-24472	73	2	bpnn	bpnn	NOUN
brj-24472	73	3	has	have	AUX
brj-24472	73	4	become	become	VERB
brj-24472	73	5	an	an	DET
brj-24472	73	6	important	important	ADJ
brj-24472	73	7	tool	tool	NOUN
brj-24472	73	8	in	in	ADP
brj-24472	73	9	affective	affective	ADJ
brj-24472	73	10	design	design	NOUN
brj-24472	73	11	,	,	PUNCT
brj-24472	73	12	it	it	PRON
brj-24472	73	13	must	must	AUX
brj-24472	73	14	be	be	AUX
brj-24472	73	15	acknowledged	acknowledge	VERB
brj-24472	73	16	that	that	SCONJ
brj-24472	73	17	bpnn	bpnn	PROPN
brj-24472	73	18	suffers	suffer	VERB
brj-24472	73	19	from	from	ADP
brj-24472	73	20	the	the	DET
brj-24472	73	21	disadvantages	disadvantage	NOUN
brj-24472	73	22	of	of	ADP
brj-24472	73	23	data	datum	NOUN
brj-24472	73	24	overfitting	overfitte	VERB
brj-24472	73	25	phenomenon	phenomenon	NOUN
brj-24472	73	26	and	and	CCONJ
brj-24472	73	27	long	long	ADJ
brj-24472	73	28	training	training	NOUN
brj-24472	73	29	time	time	NOUN
brj-24472	73	30	.	.	PUNCT
brj-24472	74	1	at	at	ADP
brj-24472	74	2	the	the	DET
brj-24472	74	3	same	same	ADJ
brj-24472	74	4	time	time	NOUN
brj-24472	74	5	,	,	PUNCT
brj-24472	74	6	genetic	genetic	ADJ
brj-24472	74	7	algorithm	algorithm	NOUN
brj-24472	74	8	,	,	PUNCT
brj-24472	74	9	as	as	ADP
brj-24472	74	10	an	an	DET
brj-24472	74	11	optimization	optimization	NOUN
brj-24472	74	12	technology	technology	NOUN
brj-24472	74	13	,	,	PUNCT
brj-24472	74	14	can	can	AUX
brj-24472	74	15	be	be	AUX
brj-24472	74	16	combined	combine	VERB
brj-24472	74	17	with	with	ADP
brj-24472	74	18	neural	neural	ADJ
brj-24472	74	19	network	network	NOUN
brj-24472	74	20	to	to	PART
brj-24472	74	21	optimize	optimize	VERB
brj-24472	74	22	the	the	DET
brj-24472	74	23	network	network	NOUN
brj-24472	74	24	structure	structure	NOUN
brj-24472	74	25	and	and	CCONJ
brj-24472	74	26	parameters	parameter	NOUN
brj-24472	74	27	through	through	ADP
brj-24472	74	28	evolutionary	evolutionary	ADJ
brj-24472	74	29	algorithm	algorithm	NOUN
brj-24472	74	30	,	,	PUNCT
brj-24472	74	31	thus	thus	ADV
brj-24472	74	32	the	the	DET
brj-24472	74	33	model	model	NOUN
brj-24472	74	34	performance	performance	NOUN
brj-24472	74	35	can	can	AUX
brj-24472	74	36	be	be	AUX
brj-24472	74	37	improved	improve	VERB
brj-24472	74	38	(	(	PUNCT
brj-24472	74	39	wu	wu	PROPN
brj-24472	74	40	et	et	PROPN
brj-24472	74	41	al	al	PROPN
brj-24472	74	42	.	.	PROPN
brj-24472	74	43	2023	2023	NUM
brj-24472	74	44	)	)	PUNCT
brj-24472	74	45	.	.	PUNCT
brj-24472	75	1	ga	ga	PROPN
brj-24472	75	2	-	-	PUNCT
brj-24472	75	3	bpnn	bpnn	PROPN
brj-24472	75	4	has	have	AUX
brj-24472	75	5	been	be	AUX
brj-24472	75	6	effectively	effectively	ADV
brj-24472	75	7	applied	apply	VERB
brj-24472	75	8	in	in	ADP
brj-24472	75	9	engineering	engineering	NOUN
brj-24472	75	10	,	,	PUNCT
brj-24472	75	11	financial	financial	ADJ
brj-24472	75	12	projects	project	NOUN
brj-24472	75	13	and	and	CCONJ
brj-24472	75	14	other	other	ADJ
brj-24472	75	15	fields	field	NOUN
brj-24472	75	16	.	.	PUNCT
brj-24472	76	1	sun	sun	PROPN
brj-24472	76	2	et	et	PROPN
brj-24472	76	3	al	al	PROPN
brj-24472	76	4	.	.	PROPN
brj-24472	77	1	(	(	PUNCT
brj-24472	77	2	2025	2025	NUM
brj-24472	77	3	)	)	PUNCT
brj-24472	77	4	used	use	VERB
brj-24472	77	5	ga	ga	PROPN
brj-24472	77	6	-	-	PUNCT
brj-24472	77	7	bpnn	bpnn	NOUN
brj-24472	77	8	and	and	CCONJ
brj-24472	77	9	pso	pso	NOUN
brj-24472	77	10	-	-	PUNCT
brj-24472	77	11	bpnn	bpnn	NOUN
brj-24472	77	12	to	to	PART
brj-24472	77	13	predict	predict	VERB
brj-24472	77	14	the	the	DET
brj-24472	77	15	flammability	flammability	NOUN
brj-24472	77	16	of	of	ADP
brj-24472	77	17	hot	hot	ADJ
brj-24472	77	18	thick	thick	ADJ
brj-24472	77	19	solids	solid	NOUN
brj-24472	77	20	.	.	PUNCT
brj-24472	78	1	liang	liang	PROPN
brj-24472	78	2	et	et	PROPN
brj-24472	78	3	al	al	PROPN
brj-24472	78	4	.	.	PROPN
brj-24472	78	5	(	(	PUNCT
brj-24472	78	6	2022	2022	NUM
brj-24472	78	7	)	)	PUNCT
brj-24472	78	8	used	use	VERB
brj-24472	78	9	ga	ga	PROPN
brj-24472	78	10	-	-	PUNCT
brj-24472	78	11	bpnn	bpnn	NOUN
brj-24472	78	12	to	to	PART
brj-24472	78	13	make	make	VERB
brj-24472	78	14	a	a	DET
brj-24472	78	15	comparative	comparative	ADJ
brj-24472	78	16	analysis	analysis	NOUN
brj-24472	78	17	of	of	ADP
brj-24472	78	18	tunnel	tunnel	NOUN
brj-24472	78	19	parameters	parameter	NOUN
brj-24472	78	20	to	to	PART
brj-24472	78	21	find	find	VERB
brj-24472	78	22	the	the	DET
brj-24472	78	23	cause	cause	NOUN
brj-24472	78	24	of	of	ADP
brj-24472	78	25	surface	surface	NOUN
brj-24472	78	26	instability	instability	NOUN
brj-24472	78	27	.	.	PUNCT
brj-24472	79	1	bai	bai	PROPN
brj-24472	79	2	et	et	PROPN
brj-24472	79	3	al	al	PROPN
brj-24472	79	4	.	.	PROPN
brj-24472	79	5	(	(	PUNCT
brj-24472	79	6	2023	2023	NUM
brj-24472	79	7	)	)	PUNCT
brj-24472	79	8	established	establish	VERB
brj-24472	79	9	a	a	DET
brj-24472	79	10	project	project	NOUN
brj-24472	79	11	portfolio	portfolio	NOUN
brj-24472	79	12	risk	risk	NOUN
brj-24472	79	13	assessment	assessment	NOUN
brj-24472	79	14	peer	peer	NOUN
brj-24472	79	15	-	-	PUNCT
brj-24472	79	16	reviewed	review	VERB
brj-24472	79	17	article	article	NOUN
brj-24472	79	18	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	79	19	huang	huang	PROPN
brj-24472	79	20	et	et	PROPN
brj-24472	79	21	al	al	PROPN
brj-24472	79	22	.	.	PROPN
brj-24472	80	1	(	(	PUNCT
brj-24472	80	2	2025	2025	NUM
brj-24472	80	3	)	)	PUNCT
brj-24472	80	4	.	.	PUNCT
brj-24472	81	1	“	"	PUNCT
brj-24472	81	2	bamboo	bamboo	NOUN
brj-24472	81	3	furniture	furniture	NOUN
brj-24472	81	4	design	design	NOUN
brj-24472	81	5	,	,	PUNCT
brj-24472	81	6	”	"	PUNCT
brj-24472	81	7	bioresources	bioresource	NOUN
brj-24472	81	8	20(3	20(3	NOUN
brj-24472	81	9	)	)	PUNCT
brj-24472	81	10	,	,	PUNCT
brj-24472	81	11	7107	7107	NUM
brj-24472	81	12	-	-	SYM
brj-24472	81	13	7133	7133	NUM
brj-24472	81	14	.	.	PUNCT
brj-24472	82	1	7110	7110	NUM
brj-24472	82	2	model	model	NOUN
brj-24472	82	3	by	by	ADP
brj-24472	82	4	using	use	VERB
brj-24472	82	5	ga	ga	PROPN
brj-24472	82	6	-	-	PUNCT
brj-24472	82	7	bpnn	bpnn	NOUN
brj-24472	82	8	and	and	CCONJ
brj-24472	82	9	pac	pac	PROPN
brj-24472	82	10	so	so	ADV
brj-24472	82	11	as	as	SCONJ
brj-24472	82	12	to	to	PART
brj-24472	82	13	provide	provide	VERB
brj-24472	82	14	managers	manager	NOUN
brj-24472	82	15	with	with	ADP
brj-24472	82	16	quantitative	quantitative	ADJ
brj-24472	82	17	risk	risk	NOUN
brj-24472	82	18	analysis	analysis	NOUN
brj-24472	82	19	tools	tool	NOUN
brj-24472	82	20	.	.	PUNCT
brj-24472	83	1	however	however	ADV
brj-24472	83	2	,	,	PUNCT
brj-24472	83	3	there	there	PRON
brj-24472	83	4	are	be	VERB
brj-24472	83	5	still	still	ADV
brj-24472	83	6	few	few	ADJ
brj-24472	83	7	studies	study	NOUN
brj-24472	83	8	on	on	ADP
brj-24472	83	9	the	the	DET
brj-24472	83	10	combination	combination	NOUN
brj-24472	83	11	of	of	ADP
brj-24472	83	12	ga	ga	PROPN
brj-24472	83	13	and	and	CCONJ
brj-24472	83	14	bpnn	bpnn	NOUN
brj-24472	83	15	in	in	ADP
brj-24472	83	16	the	the	DET
brj-24472	83	17	field	field	NOUN
brj-24472	83	18	of	of	ADP
brj-24472	83	19	product	product	NOUN
brj-24472	83	20	design	design	NOUN
brj-24472	83	21	at	at	ADP
brj-24472	83	22	present	present	NOUN
brj-24472	83	23	.	.	PUNCT
brj-24472	84	1	therefore	therefore	ADV
brj-24472	84	2	,	,	PUNCT
brj-24472	84	3	this	this	DET
brj-24472	84	4	study	study	NOUN
brj-24472	84	5	aims	aim	VERB
brj-24472	84	6	to	to	PART
brj-24472	84	7	establish	establish	VERB
brj-24472	84	8	a	a	DET
brj-24472	84	9	parametric	parametric	ADJ
brj-24472	84	10	design	design	NOUN
brj-24472	84	11	and	and	CCONJ
brj-24472	84	12	evaluation	evaluation	NOUN
brj-24472	84	13	model	model	NOUN
brj-24472	84	14	between	between	ADP
brj-24472	84	15	consumers	consumer	NOUN
brj-24472	84	16	’	’	PART
brj-24472	84	17	emotional	emotional	ADJ
brj-24472	84	18	needs	need	NOUN
brj-24472	84	19	and	and	CCONJ
brj-24472	84	20	product	product	NOUN
brj-24472	84	21	characteristics	characteristic	NOUN
brj-24472	84	22	by	by	ADP
brj-24472	84	23	using	use	VERB
brj-24472	84	24	ga	ga	PROPN
brj-24472	84	25	-	-	PUNCT
brj-24472	84	26	bpnn	bpnn	NOUN
brj-24472	84	27	.	.	PUNCT
brj-24472	85	1	at	at	ADP
brj-24472	85	2	the	the	DET
brj-24472	85	3	same	same	ADJ
brj-24472	85	4	time	time	NOUN
brj-24472	85	5	,	,	PUNCT
brj-24472	85	6	since	since	SCONJ
brj-24472	85	7	machine	machine	NOUN
brj-24472	85	8	learning	learning	NOUN
brj-24472	85	9	is	be	AUX
brj-24472	85	10	often	often	ADV
brj-24472	85	11	considered	consider	VERB
brj-24472	85	12	a	a	DET
brj-24472	85	13	"	"	PUNCT
brj-24472	85	14	black	black	ADJ
brj-24472	85	15	-	-	PUNCT
brj-24472	85	16	box	box	NOUN
brj-24472	85	17	model	model	NOUN
brj-24472	85	18	,	,	PUNCT
brj-24472	85	19	"	"	PUNCT
brj-24472	85	20	meaning	mean	VERB
brj-24472	85	21	that	that	SCONJ
brj-24472	85	22	its	its	PRON
brj-24472	85	23	internal	internal	ADJ
brj-24472	85	24	decision	decision	NOUN
brj-24472	85	25	-	-	PUNCT
brj-24472	85	26	making	make	VERB
brj-24472	85	27	process	process	NOUN
brj-24472	85	28	is	be	AUX
brj-24472	85	29	difficult	difficult	ADJ
brj-24472	85	30	to	to	PART
brj-24472	85	31	understand	understand	VERB
brj-24472	85	32	,	,	PUNCT
brj-24472	85	33	we	we	PRON
brj-24472	85	34	propose	propose	AUX
brj-24472	85	35	applying	apply	VERB
brj-24472	85	36	shapley	shapley	ADJ
brj-24472	85	37	additive	additive	ADJ
brj-24472	85	38	explanations	explanation	NOUN
brj-24472	85	39	(	(	PUNCT
brj-24472	85	40	shap	shap	NOUN
brj-24472	85	41	)	)	PUNCT
brj-24472	85	42	to	to	ADP
brj-24472	85	43	the	the	DET
brj-24472	85	44	ga	ga	PROPN
brj-24472	85	45	-	-	PUNCT
brj-24472	85	46	bpnn	bpnn	NOUN
brj-24472	85	47	.	.	PUNCT
brj-24472	86	1	this	this	DET
brj-24472	86	2	approach	approach	NOUN
brj-24472	86	3	helps	help	VERB
brj-24472	86	4	analyze	analyze	VERB
brj-24472	86	5	how	how	SCONJ
brj-24472	86	6	the	the	DET
brj-24472	86	7	model	model	NOUN
brj-24472	86	8	's	's	PART
brj-24472	86	9	output	output	NOUN
brj-24472	86	10	is	be	AUX
brj-24472	86	11	influenced	influence	VERB
brj-24472	86	12	by	by	ADP
brj-24472	86	13	various	various	ADJ
brj-24472	86	14	design	design	NOUN
brj-24472	86	15	features	feature	NOUN
brj-24472	86	16	(	(	PUNCT
brj-24472	86	17	input	input	NOUN
brj-24472	86	18	variables	variable	NOUN
brj-24472	86	19	)	)	PUNCT
brj-24472	86	20	,	,	PUNCT
brj-24472	86	21	thereby	thereby	ADV
brj-24472	86	22	providing	provide	VERB
brj-24472	86	23	interpretability	interpretability	NOUN
brj-24472	86	24	for	for	ADP
brj-24472	86	25	the	the	DET
brj-24472	86	26	model	model	NOUN
brj-24472	86	27	.	.	PUNCT
brj-24472	87	1	for	for	ADP
brj-24472	87	2	gabpnn	gabpnn	PROPN
brj-24472	87	3	,	,	PUNCT
brj-24472	87	4	shap	shap	PROPN
brj-24472	87	5	offers	offer	VERB
brj-24472	87	6	a	a	DET
brj-24472	87	7	method	method	NOUN
brj-24472	87	8	to	to	PART
brj-24472	87	9	quantify	quantify	VERB
brj-24472	87	10	the	the	DET
brj-24472	87	11	specific	specific	ADJ
brj-24472	87	12	contribution	contribution	NOUN
brj-24472	87	13	of	of	ADP
brj-24472	87	14	each	each	DET
brj-24472	87	15	input	input	NOUN
brj-24472	87	16	feature	feature	NOUN
brj-24472	87	17	to	to	ADP
brj-24472	87	18	the	the	DET
brj-24472	87	19	model	model	NOUN
brj-24472	87	20	's	's	PART
brj-24472	87	21	predictions	prediction	NOUN
brj-24472	87	22	.	.	PUNCT
brj-24472	88	1	this	this	PRON
brj-24472	88	2	enables	enable	VERB
brj-24472	88	3	us	we	PRON
brj-24472	88	4	to	to	PART
brj-24472	88	5	identify	identify	VERB
brj-24472	88	6	which	which	DET
brj-24472	88	7	features	feature	NOUN
brj-24472	88	8	have	have	VERB
brj-24472	88	9	the	the	DET
brj-24472	88	10	most	most	ADV
brj-24472	88	11	significant	significant	ADJ
brj-24472	88	12	impact	impact	NOUN
brj-24472	88	13	on	on	ADP
brj-24472	88	14	the	the	DET
brj-24472	88	15	decision	decision	NOUN
brj-24472	88	16	-	-	PUNCT
brj-24472	88	17	making	make	VERB
brj-24472	88	18	process	process	NOUN
brj-24472	88	19	,	,	PUNCT
brj-24472	88	20	offering	offer	VERB
brj-24472	88	21	valuable	valuable	ADJ
brj-24472	88	22	insights	insight	NOUN
brj-24472	88	23	for	for	ADP
brj-24472	88	24	model	model	NOUN
brj-24472	88	25	optimization	optimization	NOUN
brj-24472	88	26	.	.	PUNCT
brj-24472	89	1	to	to	PART
brj-24472	89	2	sum	sum	VERB
brj-24472	89	3	up	up	ADP
brj-24472	89	4	,	,	PUNCT
brj-24472	89	5	although	although	SCONJ
brj-24472	89	6	ke	ke	PROPN
brj-24472	89	7	has	have	AUX
brj-24472	89	8	made	make	VERB
brj-24472	89	9	some	some	DET
brj-24472	89	10	progress	progress	NOUN
brj-24472	89	11	in	in	ADP
brj-24472	89	12	theory	theory	NOUN
brj-24472	89	13	and	and	CCONJ
brj-24472	89	14	practice	practice	NOUN
brj-24472	89	15	,	,	PUNCT
brj-24472	89	16	it	it	PRON
brj-24472	89	17	still	still	ADV
brj-24472	89	18	faces	face	VERB
brj-24472	89	19	many	many	ADJ
brj-24472	89	20	challenges	challenge	NOUN
brj-24472	89	21	in	in	ADP
brj-24472	89	22	extracting	extract	VERB
brj-24472	89	23	users	user	NOUN
brj-24472	89	24	’	'	PUNCT
brj-24472	89	25	emotional	emotional	ADJ
brj-24472	89	26	needs	need	NOUN
brj-24472	89	27	and	and	CCONJ
brj-24472	89	28	establishing	establish	VERB
brj-24472	89	29	mapping	mapping	NOUN
brj-24472	89	30	relationships	relationship	NOUN
brj-24472	89	31	.	.	PUNCT
brj-24472	90	1	under	under	ADP
brj-24472	90	2	the	the	DET
brj-24472	90	3	research	research	NOUN
brj-24472	90	4	framework	framework	NOUN
brj-24472	90	5	of	of	ADP
brj-24472	90	6	ke	ke	PROPN
brj-24472	90	7	,	,	PUNCT
brj-24472	90	8	an	an	DET
brj-24472	90	9	improved	improved	ADJ
brj-24472	90	10	model	model	NOUN
brj-24472	90	11	combining	combine	VERB
brj-24472	90	12	rst	rst	PROPN
brj-24472	90	13	,	,	PUNCT
brj-24472	90	14	ga	ga	PROPN
brj-24472	90	15	-	-	PUNCT
brj-24472	90	16	bpnn	bpnn	PROPN
brj-24472	90	17	and	and	CCONJ
brj-24472	90	18	shap	shap	PROPN
brj-24472	90	19	is	be	AUX
brj-24472	90	20	proposed	propose	VERB
brj-24472	90	21	in	in	ADP
brj-24472	90	22	this	this	DET
brj-24472	90	23	study	study	NOUN
brj-24472	90	24	.	.	PUNCT
brj-24472	91	1	the	the	DET
brj-24472	91	2	main	main	ADJ
brj-24472	91	3	contributions	contribution	NOUN
brj-24472	91	4	of	of	ADP
brj-24472	91	5	this	this	DET
brj-24472	91	6	research	research	NOUN
brj-24472	91	7	are	be	AUX
brj-24472	91	8	summarized	summarize	VERB
brj-24472	91	9	as	as	SCONJ
brj-24472	91	10	follows	follow	VERB
brj-24472	91	11	:	:	PUNCT
brj-24472	91	12	(	(	PUNCT
brj-24472	91	13	1	1	X
brj-24472	91	14	)	)	PUNCT
brj-24472	91	15	in	in	ADP
brj-24472	91	16	the	the	DET
brj-24472	91	17	traditional	traditional	ADJ
brj-24472	91	18	ke	ke	NOUN
brj-24472	91	19	research	research	NOUN
brj-24472	91	20	,	,	PUNCT
brj-24472	91	21	few	few	ADJ
brj-24472	91	22	scholars	scholar	NOUN
brj-24472	91	23	use	use	VERB
brj-24472	91	24	rst	rst	PROPN
brj-24472	91	25	to	to	PART
brj-24472	91	26	extract	extract	VERB
brj-24472	91	27	the	the	DET
brj-24472	91	28	key	key	ADJ
brj-24472	91	29	kansei	kansei	ADJ
brj-24472	91	30	needs	need	NOUN
brj-24472	91	31	of	of	ADP
brj-24472	91	32	consumers	consumer	NOUN
brj-24472	91	33	in	in	ADP
brj-24472	91	34	the	the	DET
brj-24472	91	35	kansei	kansei	ADJ
brj-24472	91	36	intention	intention	NOUN
brj-24472	91	37	analysis	analysis	NOUN
brj-24472	91	38	stage	stage	NOUN
brj-24472	91	39	,	,	PUNCT
brj-24472	91	40	(	(	PUNCT
brj-24472	91	41	2	2	X
brj-24472	91	42	)	)	PUNCT
brj-24472	91	43	gabpnn	gabpnn	NOUN
brj-24472	91	44	method	method	NOUN
brj-24472	91	45	establishes	establish	VERB
brj-24472	91	46	the	the	DET
brj-24472	91	47	mapping	mapping	NOUN
brj-24472	91	48	relationship	relationship	NOUN
brj-24472	91	49	between	between	ADP
brj-24472	91	50	product	product	NOUN
brj-24472	91	51	parameters	parameter	NOUN
brj-24472	91	52	and	and	CCONJ
brj-24472	91	53	emotional	emotional	ADJ
brj-24472	91	54	needs	need	NOUN
brj-24472	91	55	,	,	PUNCT
brj-24472	91	56	which	which	PRON
brj-24472	91	57	predicts	predict	VERB
brj-24472	91	58	the	the	DET
brj-24472	91	59	optimal	optimal	ADJ
brj-24472	91	60	scheme	scheme	NOUN
brj-24472	91	61	and	and	CCONJ
brj-24472	91	62	improves	improve	VERB
brj-24472	91	63	the	the	DET
brj-24472	91	64	prediction	prediction	NOUN
brj-24472	91	65	performance	performance	NOUN
brj-24472	91	66	of	of	ADP
brj-24472	91	67	the	the	DET
brj-24472	91	68	traditional	traditional	ADJ
brj-24472	91	69	model	model	NOUN
brj-24472	91	70	.	.	PUNCT
brj-24472	92	1	(	(	PUNCT
brj-24472	92	2	3	3	X
brj-24472	92	3	)	)	PUNCT
brj-24472	92	4	the	the	DET
brj-24472	92	5	inclusion	inclusion	NOUN
brj-24472	92	6	of	of	ADP
brj-24472	92	7	shap	shap	NOUN
brj-24472	92	8	-	-	PUNCT
brj-24472	92	9	based	base	VERB
brj-24472	92	10	interpretability	interpretability	NOUN
brj-24472	92	11	analysis	analysis	NOUN
brj-24472	92	12	in	in	ADP
brj-24472	92	13	ga	ga	PROPN
brj-24472	92	14	-	-	PUNCT
brj-24472	92	15	bpnn	bpnn	NOUN
brj-24472	92	16	can	can	AUX
brj-24472	92	17	help	help	VERB
brj-24472	92	18	designers	designer	NOUN
brj-24472	92	19	and	and	CCONJ
brj-24472	92	20	data	datum	NOUN
brj-24472	92	21	scientists	scientist	NOUN
brj-24472	92	22	understand	understand	VERB
brj-24472	92	23	the	the	DET
brj-24472	92	24	model	model	NOUN
brj-24472	92	25	's	's	PART
brj-24472	92	26	behavior	behavior	NOUN
brj-24472	92	27	,	,	PUNCT
brj-24472	92	28	promote	promote	VERB
brj-24472	92	29	its	its	PRON
brj-24472	92	30	optimization	optimization	NOUN
brj-24472	92	31	,	,	PUNCT
brj-24472	92	32	and	and	CCONJ
brj-24472	92	33	improve	improve	VERB
brj-24472	92	34	compliance	compliance	NOUN
brj-24472	92	35	.	.	PUNCT
brj-24472	93	1	by	by	ADP
brj-24472	93	2	assigning	assign	VERB
brj-24472	93	3	a	a	DET
brj-24472	93	4	"	"	PUNCT
brj-24472	93	5	contribution	contribution	NOUN
brj-24472	93	6	value	value	NOUN
brj-24472	93	7	"	"	PUNCT
brj-24472	93	8	to	to	ADP
brj-24472	93	9	each	each	DET
brj-24472	93	10	feature	feature	NOUN
brj-24472	93	11	,	,	PUNCT
brj-24472	93	12	it	it	PRON
brj-24472	93	13	provides	provide	VERB
brj-24472	93	14	a	a	DET
brj-24472	93	15	transparent	transparent	ADJ
brj-24472	93	16	decision	decision	NOUN
brj-24472	93	17	-	-	PUNCT
brj-24472	93	18	making	make	VERB
brj-24472	93	19	process	process	NOUN
brj-24472	93	20	,	,	PUNCT
brj-24472	93	21	making	make	VERB
brj-24472	93	22	the	the	DET
brj-24472	93	23	complex	complex	ADJ
brj-24472	93	24	ga	ga	PROPN
brj-24472	93	25	-	-	PUNCT
brj-24472	93	26	bpnn	bpnn	NOUN
brj-24472	93	27	model	model	NOUN
brj-24472	93	28	more	more	ADV
brj-24472	93	29	interpretable	interpretable	ADJ
brj-24472	93	30	,	,	PUNCT
brj-24472	93	31	reliable	reliable	ADJ
brj-24472	93	32	,	,	PUNCT
brj-24472	93	33	and	and	CCONJ
brj-24472	93	34	usable	usable	ADJ
brj-24472	93	35	.	.	PUNCT
brj-24472	94	1	(	(	PUNCT
brj-24472	94	2	4	4	X
brj-24472	94	3	)	)	PUNCT
brj-24472	94	4	the	the	DET
brj-24472	94	5	model	model	NOUN
brj-24472	94	6	proposed	propose	VERB
brj-24472	94	7	in	in	ADP
brj-24472	94	8	this	this	DET
brj-24472	94	9	study	study	NOUN
brj-24472	94	10	can	can	AUX
brj-24472	94	11	enable	enable	VERB
brj-24472	94	12	designers	designer	NOUN
brj-24472	94	13	to	to	PART
brj-24472	94	14	grasp	grasp	VERB
brj-24472	94	15	the	the	DET
brj-24472	94	16	emotional	emotional	ADJ
brj-24472	94	17	needs	need	NOUN
brj-24472	94	18	of	of	ADP
brj-24472	94	19	consumers	consumer	NOUN
brj-24472	94	20	in	in	ADP
brj-24472	94	21	real	real	ADJ
brj-24472	94	22	time	time	NOUN
brj-24472	94	23	and	and	CCONJ
brj-24472	94	24	narrow	narrow	VERB
brj-24472	94	25	the	the	DET
brj-24472	94	26	cognitive	cognitive	ADJ
brj-24472	94	27	gap	gap	NOUN
brj-24472	94	28	between	between	ADP
brj-24472	94	29	designers	designer	NOUN
brj-24472	94	30	and	and	CCONJ
brj-24472	94	31	consumers	consumer	NOUN
brj-24472	94	32	.	.	PUNCT
brj-24472	95	1	from	from	ADP
brj-24472	95	2	the	the	DET
brj-24472	95	3	perspective	perspective	NOUN
brj-24472	95	4	of	of	ADP
brj-24472	95	5	consumers	consumer	NOUN
brj-24472	95	6	,	,	PUNCT
brj-24472	95	7	it	it	PRON
brj-24472	95	8	can	can	AUX
brj-24472	95	9	improve	improve	VERB
brj-24472	95	10	consumers	consumer	NOUN
brj-24472	95	11	’	'	PUNCT
brj-24472	95	12	purchase	purchase	NOUN
brj-24472	95	13	intention	intention	NOUN
brj-24472	95	14	for	for	ADP
brj-24472	95	15	this	this	DET
brj-24472	95	16	type	type	NOUN
brj-24472	95	17	of	of	ADP
brj-24472	95	18	product	product	NOUN
brj-24472	95	19	.	.	PUNCT
brj-24472	96	1	from	from	ADP
brj-24472	96	2	the	the	DET
brj-24472	96	3	perspective	perspective	NOUN
brj-24472	96	4	of	of	ADP
brj-24472	96	5	enterprises	enterprise	NOUN
brj-24472	96	6	,	,	PUNCT
brj-24472	96	7	it	it	PRON
brj-24472	96	8	can	can	AUX
brj-24472	96	9	increase	increase	VERB
brj-24472	96	10	product	product	NOUN
brj-24472	96	11	sales	sale	NOUN
brj-24472	96	12	and	and	CCONJ
brj-24472	96	13	improve	improve	VERB
brj-24472	96	14	the	the	DET
brj-24472	96	15	market	market	NOUN
brj-24472	96	16	competitiveness	competitiveness	NOUN
brj-24472	96	17	of	of	ADP
brj-24472	96	18	enterprises	enterprise	NOUN
brj-24472	96	19	.	.	PUNCT
brj-24472	97	1	related	related	ADJ
brj-24472	97	2	methods	method	NOUN
brj-24472	97	3	this	this	DET
brj-24472	97	4	research	research	NOUN
brj-24472	97	5	is	be	AUX
brj-24472	97	6	divided	divide	VERB
brj-24472	97	7	into	into	ADP
brj-24472	97	8	four	four	NUM
brj-24472	97	9	stages	stage	NOUN
brj-24472	97	10	,	,	PUNCT
brj-24472	97	11	as	as	SCONJ
brj-24472	97	12	shown	show	VERB
brj-24472	97	13	in	in	ADP
brj-24472	97	14	fig	fig	NOUN
brj-24472	97	15	.	.	PUNCT
brj-24472	98	1	1	1	X
brj-24472	98	2	.	.	X
brj-24472	98	3	(	(	PUNCT
brj-24472	98	4	1	1	X
brj-24472	98	5	)	)	PUNCT
brj-24472	98	6	users	user	NOUN
brj-24472	98	7	’	'	PUNCT
brj-24472	98	8	emotional	emotional	ADJ
brj-24472	98	9	needs	need	NOUN
brj-24472	98	10	are	be	AUX
brj-24472	98	11	collected	collect	VERB
brj-24472	98	12	under	under	ADP
brj-24472	98	13	the	the	DET
brj-24472	98	14	research	research	NOUN
brj-24472	98	15	framework	framework	NOUN
brj-24472	98	16	of	of	ADP
brj-24472	98	17	ke	ke	PROPN
brj-24472	98	18	,	,	PUNCT
brj-24472	98	19	and	and	CCONJ
brj-24472	98	20	kj	kj	PROPN
brj-24472	98	21	method	method	NOUN
brj-24472	98	22	is	be	AUX
brj-24472	98	23	used	use	VERB
brj-24472	98	24	for	for	ADP
brj-24472	98	25	initial	initial	ADJ
brj-24472	98	26	clustering	clustering	NOUN
brj-24472	98	27	.	.	PUNCT
brj-24472	99	1	the	the	DET
brj-24472	99	2	morphology	morphology	NOUN
brj-24472	99	3	deconstruction	deconstruction	NOUN
brj-24472	99	4	method	method	NOUN
brj-24472	99	5	is	be	AUX
brj-24472	99	6	used	use	VERB
brj-24472	99	7	for	for	ADP
brj-24472	99	8	bamboo	bamboo	NOUN
brj-24472	99	9	furniture	furniture	NOUN
brj-24472	99	10	.	.	PUNCT
brj-24472	100	1	(	(	PUNCT
brj-24472	100	2	2	2	X
brj-24472	100	3	)	)	PUNCT
brj-24472	100	4	the	the	DET
brj-24472	100	5	attribute	attribute	NOUN
brj-24472	100	6	reduction	reduction	NOUN
brj-24472	100	7	algorithm	algorithm	NOUN
brj-24472	100	8	of	of	ADP
brj-24472	100	9	rst	rst	PROPN
brj-24472	100	10	is	be	AUX
brj-24472	100	11	used	use	VERB
brj-24472	100	12	to	to	PART
brj-24472	100	13	extract	extract	VERB
brj-24472	100	14	the	the	DET
brj-24472	100	15	optimal	optimal	ADJ
brj-24472	100	16	emotional	emotional	ADJ
brj-24472	100	17	needs	need	NOUN
brj-24472	100	18	.	.	PUNCT
brj-24472	101	1	(	(	PUNCT
brj-24472	101	2	3	3	X
brj-24472	101	3	)	)	PUNCT
brj-24472	101	4	ga	ga	NOUN
brj-24472	101	5	-	-	PUNCT
brj-24472	101	6	bpnn	bpnn	PROPN
brj-24472	101	7	is	be	AUX
brj-24472	101	8	used	use	VERB
brj-24472	101	9	to	to	PART
brj-24472	101	10	build	build	VERB
brj-24472	101	11	a	a	DET
brj-24472	101	12	parametric	parametric	ADJ
brj-24472	101	13	design	design	NOUN
brj-24472	101	14	system	system	NOUN
brj-24472	101	15	between	between	ADP
brj-24472	101	16	key	key	ADJ
brj-24472	101	17	emotional	emotional	ADJ
brj-24472	101	18	needs	need	NOUN
brj-24472	101	19	and	and	CCONJ
brj-24472	101	20	product	product	NOUN
brj-24472	101	21	parameters	parameter	NOUN
brj-24472	101	22	.	.	PUNCT
brj-24472	102	1	(	(	PUNCT
brj-24472	102	2	4	4	X
brj-24472	102	3	)	)	PUNCT
brj-24472	102	4	the	the	DET
brj-24472	102	5	shap	shap	NOUN
brj-24472	102	6	framework	framework	NOUN
brj-24472	102	7	is	be	AUX
brj-24472	102	8	used	use	VERB
brj-24472	102	9	to	to	PART
brj-24472	102	10	analyze	analyze	VERB
brj-24472	102	11	the	the	DET
brj-24472	102	12	contribution	contribution	NOUN
brj-24472	102	13	of	of	ADP
brj-24472	102	14	design	design	NOUN
brj-24472	102	15	parameters	parameter	NOUN
brj-24472	102	16	.	.	PUNCT
brj-24472	103	1	by	by	ADP
brj-24472	103	2	employing	employ	VERB
brj-24472	103	3	a	a	DET
brj-24472	103	4	parametric	parametric	ADJ
brj-24472	103	5	design	design	NOUN
brj-24472	103	6	system	system	NOUN
brj-24472	103	7	,	,	PUNCT
brj-24472	103	8	the	the	DET
brj-24472	103	9	optimal	optimal	ADJ
brj-24472	103	10	design	design	NOUN
brj-24472	103	11	solution	solution	NOUN
brj-24472	103	12	is	be	AUX
brj-24472	103	13	determined	determine	VERB
brj-24472	103	14	.	.	PUNCT
brj-24472	104	1	product	product	NOUN
brj-24472	104	2	design	design	NOUN
brj-24472	104	3	is	be	AUX
brj-24472	104	4	then	then	ADV
brj-24472	104	5	carried	carry	VERB
brj-24472	104	6	out	out	ADP
brj-24472	104	7	,	,	PUNCT
brj-24472	104	8	and	and	CCONJ
brj-24472	104	9	the	the	DET
brj-24472	104	10	feasibility	feasibility	NOUN
brj-24472	104	11	of	of	ADP
brj-24472	104	12	the	the	DET
brj-24472	104	13	method	method	NOUN
brj-24472	104	14	is	be	AUX
brj-24472	104	15	verified	verify	VERB
brj-24472	104	16	through	through	ADP
brj-24472	104	17	user	user	NOUN
brj-24472	104	18	evaluations	evaluation	NOUN
brj-24472	104	19	.	.	PUNCT
brj-24472	105	1	peer	peer	NOUN
brj-24472	105	2	-	-	PUNCT
brj-24472	105	3	reviewed	review	VERB
brj-24472	105	4	article	article	NOUN
brj-24472	105	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	105	6	huang	huang	PROPN
brj-24472	105	7	et	et	PROPN
brj-24472	105	8	al	al	PROPN
brj-24472	105	9	.	.	PROPN
brj-24472	106	1	(	(	PUNCT
brj-24472	106	2	2025	2025	NUM
brj-24472	106	3	)	)	PUNCT
brj-24472	106	4	.	.	PUNCT
brj-24472	107	1	“	"	PUNCT
brj-24472	107	2	bamboo	bamboo	NOUN
brj-24472	107	3	furniture	furniture	NOUN
brj-24472	107	4	design	design	NOUN
brj-24472	107	5	,	,	PUNCT
brj-24472	107	6	”	"	PUNCT
brj-24472	107	7	bioresources	bioresource	NOUN
brj-24472	107	8	20(3	20(3	NOUN
brj-24472	107	9	)	)	PUNCT
brj-24472	107	10	,	,	PUNCT
brj-24472	107	11	7107	7107	NUM
brj-24472	107	12	-	-	SYM
brj-24472	107	13	7133	7133	NUM
brj-24472	107	14	.	.	PUNCT
brj-24472	108	1	7111	7111	NUM
brj-24472	108	2	fig	fig	NOUN
brj-24472	108	3	.	.	PUNCT
brj-24472	109	1	1	1	X
brj-24472	109	2	.	.	X
brj-24472	109	3	bamboo	bamboo	NOUN
brj-24472	109	4	furniture	furniture	NOUN
brj-24472	109	5	sensory	sensory	ADJ
brj-24472	109	6	design	design	NOUN
brj-24472	109	7	research	research	NOUN
brj-24472	109	8	framework	framework	NOUN
brj-24472	109	9	rough	rough	ADJ
brj-24472	109	10	set	set	NOUN
brj-24472	109	11	theory	theory	NOUN
brj-24472	109	12	rst	rst	PROPN
brj-24472	109	13	can	can	AUX
brj-24472	109	14	analyze	analyze	VERB
brj-24472	109	15	data	datum	NOUN
brj-24472	109	16	on	on	ADP
brj-24472	109	17	the	the	DET
brj-24472	109	18	basis	basis	NOUN
brj-24472	109	19	of	of	ADP
brj-24472	109	20	given	give	VERB
brj-24472	109	21	inherent	inherent	ADJ
brj-24472	109	22	information	information	NOUN
brj-24472	109	23	without	without	ADP
brj-24472	109	24	any	any	DET
brj-24472	109	25	auxiliary	auxiliary	ADJ
brj-24472	109	26	information	information	NOUN
brj-24472	109	27	or	or	CCONJ
brj-24472	109	28	subjective	subjective	ADJ
brj-24472	109	29	judgment	judgment	NOUN
brj-24472	109	30	.	.	PUNCT
brj-24472	110	1	its	its	PRON
brj-24472	110	2	knowledge	knowledge	NOUN
brj-24472	110	3	expression	expression	NOUN
brj-24472	110	4	system	system	NOUN
brj-24472	110	5	is	be	AUX
brj-24472	110	6	represented	represent	VERB
brj-24472	110	7	by	by	ADP
brj-24472	110	8	4	4	NUM
brj-24472	110	9	-	-	PUNCT
brj-24472	110	10	tuple	tuple	NOUN
brj-24472	110	11	,	,	PUNCT
brj-24472	110	12	namely	namely	ADV
brj-24472	110	13	s	s	PART
brj-24472	110	14	=	=	SYM
brj-24472	110	15	(	(	PUNCT
brj-24472	110	16	u	u	PROPN
brj-24472	110	17	,	,	PUNCT
brj-24472	110	18	a	a	PRON
brj-24472	110	19	,	,	PUNCT
brj-24472	110	20	v	v	NOUN
brj-24472	110	21	,	,	PUNCT
brj-24472	110	22	f	f	NOUN
brj-24472	110	23	)	)	PUNCT
brj-24472	110	24	.	.	PUNCT
brj-24472	111	1	as	as	SCONJ
brj-24472	111	2	one	one	NUM
brj-24472	111	3	of	of	ADP
brj-24472	111	4	the	the	DET
brj-24472	111	5	main	main	ADJ
brj-24472	111	6	functions	function	NOUN
brj-24472	111	7	of	of	ADP
brj-24472	111	8	rst	rst	PROPN
brj-24472	111	9	,	,	PUNCT
brj-24472	111	10	attribute	attribute	NOUN
brj-24472	111	11	reduction	reduction	NOUN
brj-24472	111	12	is	be	AUX
brj-24472	111	13	the	the	DET
brj-24472	111	14	minimum	minimum	ADJ
brj-24472	111	15	conditional	conditional	ADJ
brj-24472	111	16	attribute	attribute	NOUN
brj-24472	111	17	set	set	VERB
brj-24472	111	18	which	which	PRON
brj-24472	111	19	does	do	AUX
brj-24472	111	20	not	not	PART
brj-24472	111	21	contain	contain	VERB
brj-24472	111	22	redundant	redundant	ADJ
brj-24472	111	23	attributes	attribute	NOUN
brj-24472	111	24	and	and	CCONJ
brj-24472	111	25	guarantees	guarantee	VERB
brj-24472	111	26	the	the	DET
brj-24472	111	27	correct	correct	ADJ
brj-24472	111	28	classification	classification	NOUN
brj-24472	111	29	.	.	PUNCT
brj-24472	112	1	the	the	DET
brj-24472	112	2	intersection	intersection	NOUN
brj-24472	112	3	of	of	ADP
brj-24472	112	4	these	these	DET
brj-24472	112	5	reductions	reduction	NOUN
brj-24472	112	6	is	be	AUX
brj-24472	112	7	defined	define	VERB
brj-24472	112	8	as	as	ADP
brj-24472	112	9	the	the	DET
brj-24472	112	10	𝑐𝑜𝑟𝑒	𝑐𝑜𝑟𝑒	NOUN
brj-24472	112	11	of	of	ADP
brj-24472	112	12	decision	decision	NOUN
brj-24472	112	13	table	table	NOUN
brj-24472	112	14	;	;	PUNCT
brj-24472	112	15	and	and	CCONJ
brj-24472	112	16	the	the	DET
brj-24472	112	17	attributes	attribute	NOUN
brj-24472	112	18	of	of	ADP
brj-24472	112	19	the	the	DET
brj-24472	112	20	𝑐𝑜𝑟𝑒	𝑐𝑜𝑟𝑒	NOUN
brj-24472	112	21	are	be	AUX
brj-24472	112	22	important	important	ADJ
brj-24472	112	23	attributes	attribute	NOUN
brj-24472	112	24	that	that	PRON
brj-24472	112	25	affect	affect	VERB
brj-24472	112	26	the	the	DET
brj-24472	112	27	classification	classification	NOUN
brj-24472	112	28	.	.	PUNCT
brj-24472	113	1	the	the	DET
brj-24472	113	2	relevant	relevant	ADJ
brj-24472	113	3	definitions	definition	NOUN
brj-24472	113	4	are	be	AUX
brj-24472	113	5	as	as	SCONJ
brj-24472	113	6	follows	follow	VERB
brj-24472	113	7	:	:	PUNCT
brj-24472	113	8	definition	definition	NOUN
brj-24472	113	9	1	1	NUM
brj-24472	113	10	:	:	PUNCT
brj-24472	113	11	suppose	suppose	VERB
brj-24472	113	12	in	in	ADP
brj-24472	113	13	the	the	DET
brj-24472	113	14	decision	decision	NOUN
brj-24472	113	15	table	table	NOUN
brj-24472	113	16	d	d	NOUN
brj-24472	113	17	and	and	CCONJ
brj-24472	113	18	for	for	ADP
brj-24472	113	19	any	any	DET
brj-24472	113	20	cj	cj	NOUN
brj-24472	113	21	;	;	PUNCT
brj-24472	113	22	if	if	SCONJ
brj-24472	113	23	cj	cj	NOUN
brj-24472	113	24	satisfies	satisfy	VERB
brj-24472	113	25	the	the	DET
brj-24472	113	26	formula	formula	NOUN
brj-24472	113	27	:	:	PUNCT
brj-24472	113	28	𝑃𝑂𝑆𝑖𝑛𝑑(𝐶)(𝑖𝑛𝑑(𝐷	𝑃𝑂𝑆𝑖𝑛𝑑(𝐶)(𝑖𝑛𝑑(𝐷	NUM
brj-24472	113	29	)	)	PUNCT
brj-24472	113	30	)	)	PUNCT
brj-24472	114	1	=	=	PUNCT
brj-24472	114	2	𝑃𝑂𝑆𝑖𝑛𝑑(𝐶−{𝐶𝑗})(ind(𝐷	𝑃𝑂𝑆𝑖𝑛𝑑(𝐶−{𝐶𝑗})(ind(𝐷	NOUN
brj-24472	114	3	)	)	PUNCT
brj-24472	114	4	)	)	PUNCT
brj-24472	114	5	(	(	PUNCT
brj-24472	114	6	1	1	X
brj-24472	114	7	)	)	PUNCT
brj-24472	114	8	cj	cj	NOUN
brj-24472	114	9	is	be	AUX
brj-24472	114	10	called	call	VERB
brj-24472	114	11	to	to	PART
brj-24472	114	12	be	be	AUX
brj-24472	114	13	unnecessary	unnecessary	ADJ
brj-24472	114	14	for	for	ADP
brj-24472	114	15	d	d	PROPN
brj-24472	114	16	in	in	ADP
brj-24472	114	17	c	c	PROPN
brj-24472	114	18	;	;	PUNCT
brj-24472	114	19	otherwise	otherwise	ADV
brj-24472	114	20	,	,	PUNCT
brj-24472	114	21	cj	cj	PROPN
brj-24472	114	22	is	be	AUX
brj-24472	114	23	necessary	necessary	ADJ
brj-24472	114	24	for	for	ADP
brj-24472	114	25	d	d	PROPN
brj-24472	114	26	in	in	ADP
brj-24472	114	27	c	c	PROPN
brj-24472	114	28	;	;	PUNCT
brj-24472	114	29	the	the	DET
brj-24472	114	30	set	set	NOUN
brj-24472	114	31	of	of	ADP
brj-24472	114	32	all	all	DET
brj-24472	114	33	necessary	necessary	ADJ
brj-24472	114	34	primitive	primitive	ADJ
brj-24472	114	35	relations	relation	NOUN
brj-24472	114	36	in	in	ADP
brj-24472	114	37	c	c	PROPN
brj-24472	114	38	is	be	AUX
brj-24472	114	39	called	call	VERB
brj-24472	114	40	the	the	DET
brj-24472	114	41	d	d	PROPN
brj-24472	114	42	core	core	NOUN
brj-24472	114	43	of	of	ADP
brj-24472	114	44	in	in	ADP
brj-24472	114	45	c	c	PROPN
brj-24472	114	46	,	,	PUNCT
brj-24472	114	47	which	which	PRON
brj-24472	114	48	is	be	AUX
brj-24472	114	49	denoted	denote	VERB
brj-24472	114	50	as	as	ADP
brj-24472	114	51	cored(c	cored(c	PROPN
brj-24472	114	52	)	)	PUNCT
brj-24472	114	53	.	.	PUNCT
brj-24472	115	1	since	since	SCONJ
brj-24472	115	2	the	the	DET
brj-24472	115	3	importance	importance	NOUN
brj-24472	115	4	of	of	ADP
brj-24472	115	5	each	each	DET
brj-24472	115	6	attribute	attribute	NOUN
brj-24472	115	7	in	in	ADP
brj-24472	115	8	the	the	DET
brj-24472	115	9	information	information	NOUN
brj-24472	115	10	knowledge	knowledge	NOUN
brj-24472	115	11	base	base	NOUN
brj-24472	115	12	is	be	AUX
brj-24472	115	13	not	not	PART
brj-24472	115	14	the	the	DET
brj-24472	115	15	same	same	ADJ
brj-24472	115	16	,	,	PUNCT
brj-24472	115	17	it	it	PRON
brj-24472	115	18	is	be	AUX
brj-24472	115	19	necessary	necessary	ADJ
brj-24472	115	20	to	to	PART
brj-24472	115	21	focus	focus	VERB
brj-24472	115	22	on	on	ADP
brj-24472	115	23	the	the	DET
brj-24472	115	24	attributes	attribute	NOUN
brj-24472	115	25	of	of	ADP
brj-24472	115	26	higher	high	ADJ
brj-24472	115	27	importance	importance	NOUN
brj-24472	115	28	.	.	PUNCT
brj-24472	116	1	the	the	DET
brj-24472	116	2	importance	importance	NOUN
brj-24472	116	3	of	of	ADP
brj-24472	116	4	attributes	attribute	NOUN
brj-24472	116	5	is	be	AUX
brj-24472	116	6	defined	define	VERB
brj-24472	116	7	as	as	SCONJ
brj-24472	116	8	follows	follow	VERB
brj-24472	116	9	:	:	PUNCT
brj-24472	116	10	definition	definition	NOUN
brj-24472	116	11	2	2	NUM
brj-24472	116	12	:	:	PUNCT
brj-24472	116	13	the	the	DET
brj-24472	116	14	dependence	dependence	NOUN
brj-24472	116	15	of	of	ADP
brj-24472	116	16	decision	decision	NOUN
brj-24472	116	17	attribute	attribute	NOUN
brj-24472	116	18	d	d	NOUN
brj-24472	116	19	on	on	ADP
brj-24472	116	20	the	the	DET
brj-24472	116	21	conditional	conditional	ADJ
brj-24472	116	22	attribute	attribute	NOUN
brj-24472	116	23	cj	cj	PROPN
brj-24472	116	24	is	be	AUX
brj-24472	116	25	defined	define	VERB
brj-24472	116	26	as	as	ADP
brj-24472	116	27	𝛾𝑐𝑗(𝐷	𝛾𝑐𝑗(𝐷	X
brj-24472	116	28	)	)	PUNCT
brj-24472	116	29	=	=	SYM
brj-24472	116	30	𝑐𝑎𝑟𝑑(𝑝𝑜𝑠𝑐𝑗	𝑐𝑎𝑟𝑑(𝑝𝑜𝑠𝑐𝑗	PROPN
brj-24472	116	31	(	(	PUNCT
brj-24472	116	32	𝐷	𝐷	NOUN
brj-24472	116	33	)	)	PUNCT
brj-24472	116	34	)	)	PUNCT
brj-24472	117	1	𝑐𝑎𝑟𝑑(𝑈	𝑐𝑎𝑟𝑑(𝑈	PROPN
brj-24472	117	2	)	)	PUNCT
brj-24472	118	1	(	(	PUNCT
brj-24472	118	2	2	2	X
brj-24472	118	3	)	)	PUNCT
brj-24472	118	4	in	in	ADP
brj-24472	118	5	this	this	DET
brj-24472	118	6	formula	formula	NOUN
brj-24472	118	7	,	,	PUNCT
brj-24472	118	8	γ𝑐𝑗(𝐷	γ𝑐𝑗(𝐷	X
brj-24472	118	9	)	)	PUNCT
brj-24472	118	10	is	be	AUX
brj-24472	118	11	the	the	DET
brj-24472	118	12	dependence	dependence	NOUN
brj-24472	118	13	between	between	ADP
brj-24472	118	14	the	the	DET
brj-24472	118	15	decision	decision	NOUN
brj-24472	118	16	set	set	VERB
brj-24472	118	17	d	d	NOUN
brj-24472	118	18	and	and	CCONJ
brj-24472	118	19	the	the	DET
brj-24472	118	20	attribute	attribute	NOUN
brj-24472	118	21	cj	cj	NOUN
brj-24472	118	22	;	;	PUNCT
brj-24472	118	23	card	card	NOUN
brj-24472	118	24	is	be	AUX
brj-24472	118	25	the	the	DET
brj-24472	118	26	base	base	NOUN
brj-24472	118	27	of	of	ADP
brj-24472	118	28	the	the	DET
brj-24472	118	29	corresponding	corresponding	ADJ
brj-24472	118	30	set	set	NOUN
brj-24472	118	31	.	.	PUNCT
brj-24472	119	1	𝛾𝐶(𝐷	𝛾𝐶(𝐷	NOUN
brj-24472	119	2	)	)	PUNCT
brj-24472	120	1	−	−	ADP
brj-24472	120	2	𝛾(𝐶−𝐶𝑗)(𝐷	𝛾(𝐶−𝐶𝑗)(𝐷	NOUN
brj-24472	120	3	)	)	PUNCT
brj-24472	121	1	=	=	SYM
brj-24472	121	2	𝑐𝑎𝑟𝑑(𝑝𝑜𝑠𝑐(𝐷))−𝑐𝑎𝑟𝑑(𝑝𝑜𝑠	𝑐𝑎𝑟𝑑(𝑝𝑜𝑠𝑐(𝐷))−𝑐𝑎𝑟𝑑(𝑝𝑜𝑠	NUM
brj-24472	121	3	(	(	PUNCT
brj-24472	121	4	𝐶−𝐶𝑗	𝐶−𝐶𝑗	NOUN
brj-24472	121	5	)	)	PUNCT
brj-24472	121	6	(	(	PUNCT
brj-24472	121	7	𝐷	𝐷	NOUN
brj-24472	121	8	)	)	PUNCT
brj-24472	121	9	)	)	PUNCT
brj-24472	121	10	𝑐𝑎𝑟𝑑(𝑈	𝑐𝑎𝑟𝑑(𝑈	PROPN
brj-24472	121	11	)	)	PUNCT
brj-24472	121	12	(	(	PUNCT
brj-24472	121	13	3	3	X
brj-24472	121	14	)	)	PUNCT
brj-24472	121	15	when	when	SCONJ
brj-24472	121	16	cj	cj	PROPN
brj-24472	121	17	is	be	AUX
brj-24472	121	18	removed	remove	VERB
brj-24472	121	19	from	from	ADP
brj-24472	121	20	c	c	PROPN
brj-24472	121	21	,	,	PUNCT
brj-24472	121	22	the	the	DET
brj-24472	121	23	value	value	NOUN
brj-24472	121	24	of	of	ADP
brj-24472	121	25	γ𝑐𝑗(𝐷	γ𝑐𝑗(𝐷	PROPN
brj-24472	121	26	)	)	PUNCT
brj-24472	121	27	will	will	AUX
brj-24472	121	28	be	be	AUX
brj-24472	121	29	changed	change	VERB
brj-24472	121	30	to	to	PART
brj-24472	121	31	measure	measure	VERB
brj-24472	121	32	the	the	DET
brj-24472	121	33	importance	importance	NOUN
brj-24472	121	34	of	of	ADP
brj-24472	121	35	the	the	DET
brj-24472	121	36	attribute	attribute	NOUN
brj-24472	121	37	cj	cj	PROPN
brj-24472	121	38	.	.	PUNCT
brj-24472	122	1	peer	peer	NOUN
brj-24472	122	2	-	-	PUNCT
brj-24472	122	3	reviewed	review	VERB
brj-24472	122	4	article	article	NOUN
brj-24472	122	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	122	6	huang	huang	PROPN
brj-24472	122	7	et	et	PROPN
brj-24472	122	8	al	al	PROPN
brj-24472	122	9	.	.	PROPN
brj-24472	123	1	(	(	PUNCT
brj-24472	123	2	2025	2025	NUM
brj-24472	123	3	)	)	PUNCT
brj-24472	123	4	.	.	PUNCT
brj-24472	124	1	“	"	PUNCT
brj-24472	124	2	bamboo	bamboo	NOUN
brj-24472	124	3	furniture	furniture	NOUN
brj-24472	124	4	design	design	NOUN
brj-24472	124	5	,	,	PUNCT
brj-24472	124	6	”	"	PUNCT
brj-24472	124	7	bioresources	bioresource	NOUN
brj-24472	124	8	20(3	20(3	NOUN
brj-24472	124	9	)	)	PUNCT
brj-24472	124	10	,	,	PUNCT
brj-24472	124	11	7107	7107	NUM
brj-24472	124	12	-	-	SYM
brj-24472	124	13	7133	7133	NUM
brj-24472	124	14	.	.	PUNCT
brj-24472	125	1	7112	7112	NUM
brj-24472	125	2	genetic	genetic	ADJ
brj-24472	125	3	algorithm	algorithm	NOUN
brj-24472	125	4	-	-	PUNCT
brj-24472	125	5	backpropagation	backpropagation	NOUN
brj-24472	125	6	neural	neural	ADJ
brj-24472	125	7	network	network	NOUN
brj-24472	125	8	backpropagation	backpropagation	NOUN
brj-24472	125	9	neural	neural	ADJ
brj-24472	125	10	network	network	NOUN
brj-24472	125	11	backpropagation	backpropagation	PROPN
brj-24472	125	12	neural	neural	ADJ
brj-24472	125	13	network	network	NOUN
brj-24472	125	14	is	be	AUX
brj-24472	125	15	a	a	DET
brj-24472	125	16	simple	simple	ADJ
brj-24472	125	17	gradient	gradient	ADJ
brj-24472	125	18	descent	descent	NOUN
brj-24472	125	19	algorithm	algorithm	NOUN
brj-24472	125	20	for	for	ADP
brj-24472	125	21	supervising	supervise	VERB
brj-24472	125	22	learning	learning	NOUN
brj-24472	125	23	,	,	PUNCT
brj-24472	125	24	which	which	PRON
brj-24472	125	25	consists	consist	VERB
brj-24472	125	26	of	of	ADP
brj-24472	125	27	an	an	DET
brj-24472	125	28	input	input	NOUN
brj-24472	125	29	layer	layer	NOUN
brj-24472	125	30	,	,	PUNCT
brj-24472	125	31	an	an	DET
brj-24472	125	32	output	output	NOUN
brj-24472	125	33	layer	layer	NOUN
brj-24472	125	34	and	and	CCONJ
brj-24472	125	35	one	one	NUM
brj-24472	125	36	or	or	CCONJ
brj-24472	125	37	more	more	ADV
brj-24472	125	38	hidden	hidden	ADJ
brj-24472	125	39	layers	layer	NOUN
brj-24472	125	40	.	.	PUNCT
brj-24472	126	1	at	at	ADP
brj-24472	126	2	the	the	DET
brj-24472	126	3	same	same	ADJ
brj-24472	126	4	time	time	NOUN
brj-24472	126	5	,	,	PUNCT
brj-24472	126	6	bpnn	bpnn	PROPN
brj-24472	126	7	has	have	VERB
brj-24472	126	8	the	the	DET
brj-24472	126	9	advantages	advantage	NOUN
brj-24472	126	10	of	of	ADP
brj-24472	126	11	self	self	NOUN
brj-24472	126	12	-	-	PUNCT
brj-24472	126	13	learning	learning	NOUN
brj-24472	126	14	,	,	PUNCT
brj-24472	126	15	selforganization	selforganization	NOUN
brj-24472	126	16	,	,	PUNCT
brj-24472	126	17	better	well	ADJ
brj-24472	126	18	fault	fault	VERB
brj-24472	126	19	tolerance	tolerance	NOUN
brj-24472	126	20	and	and	CCONJ
brj-24472	126	21	excellent	excellent	ADJ
brj-24472	126	22	nonlinear	nonlinear	ADJ
brj-24472	126	23	approximation	approximation	NOUN
brj-24472	126	24	ability	ability	NOUN
brj-24472	126	25	.	.	PUNCT
brj-24472	127	1	the	the	DET
brj-24472	127	2	following	follow	VERB
brj-24472	127	3	is	be	AUX
brj-24472	127	4	a	a	DET
brj-24472	127	5	brief	brief	ADJ
brj-24472	127	6	description	description	NOUN
brj-24472	127	7	of	of	ADP
brj-24472	127	8	the	the	DET
brj-24472	127	9	implementation	implementation	NOUN
brj-24472	127	10	steps	step	NOUN
brj-24472	127	11	of	of	ADP
brj-24472	127	12	bpnn	bpnn	NOUN
brj-24472	127	13	:	:	PUNCT
brj-24472	127	14	(	(	PUNCT
brj-24472	127	15	1	1	X
brj-24472	127	16	)	)	PUNCT
brj-24472	127	17	network	network	NOUN
brj-24472	127	18	structure	structure	NOUN
brj-24472	127	19	design	design	NOUN
brj-24472	127	20	:	:	PUNCT
brj-24472	127	21	the	the	DET
brj-24472	127	22	number	number	NOUN
brj-24472	127	23	of	of	ADP
brj-24472	127	24	network	network	NOUN
brj-24472	127	25	layers	layer	NOUN
brj-24472	127	26	and	and	CCONJ
brj-24472	127	27	the	the	DET
brj-24472	127	28	number	number	NOUN
brj-24472	127	29	of	of	ADP
brj-24472	127	30	neurons	neuron	NOUN
brj-24472	127	31	in	in	ADP
brj-24472	127	32	each	each	DET
brj-24472	127	33	layer	layer	NOUN
brj-24472	127	34	are	be	AUX
brj-24472	127	35	determined	determine	VERB
brj-24472	127	36	,	,	PUNCT
brj-24472	127	37	which	which	PRON
brj-24472	127	38	usually	usually	ADV
brj-24472	127	39	includes	include	VERB
brj-24472	127	40	input	input	NOUN
brj-24472	127	41	layer	layer	NOUN
brj-24472	127	42	,	,	PUNCT
brj-24472	127	43	hidden	hide	VERB
brj-24472	127	44	layer	layer	NOUN
brj-24472	127	45	and	and	CCONJ
brj-24472	127	46	output	output	NOUN
brj-24472	127	47	layer	layer	NOUN
brj-24472	127	48	.	.	PUNCT
brj-24472	128	1	set	set	VERB
brj-24472	128	2	ni	ni	PROPN
brj-24472	128	3	as	as	ADP
brj-24472	128	4	the	the	DET
brj-24472	128	5	input	input	NOUN
brj-24472	128	6	layer	layer	NOUN
brj-24472	128	7	;	;	PUNCT
brj-24472	128	8	nh	nh	PROPN
brj-24472	128	9	is	be	AUX
brj-24472	128	10	set	set	VERB
brj-24472	128	11	as	as	ADP
brj-24472	128	12	the	the	DET
brj-24472	128	13	hidden	hidden	ADJ
brj-24472	128	14	layer	layer	NOUN
brj-24472	128	15	and	and	CCONJ
brj-24472	128	16	no	no	PRON
brj-24472	128	17	is	be	AUX
brj-24472	128	18	set	set	VERB
brj-24472	128	19	as	as	ADP
brj-24472	128	20	the	the	DET
brj-24472	128	21	output	output	NOUN
brj-24472	128	22	layer	layer	NOUN
brj-24472	128	23	.	.	PUNCT
brj-24472	129	1	(	(	PUNCT
brj-24472	129	2	2	2	X
brj-24472	129	3	)	)	PUNCT
brj-24472	129	4	initialize	initialize	VERB
brj-24472	129	5	weights	weight	NOUN
brj-24472	129	6	and	and	CCONJ
brj-24472	129	7	bias	bias	NOUN
brj-24472	129	8	:	:	PUNCT
brj-24472	129	9	the	the	DET
brj-24472	129	10	weight	weight	NOUN
brj-24472	129	11	wij	wij	X
brj-24472	129	12	and	and	CCONJ
brj-24472	129	13	the	the	DET
brj-24472	129	14	bias	bias	NOUN
brj-24472	129	15	bj	bj	VERB
brj-24472	129	16	between	between	ADP
brj-24472	129	17	the	the	DET
brj-24472	129	18	connected	connected	ADJ
brj-24472	129	19	layers	layer	NOUN
brj-24472	129	20	are	be	AUX
brj-24472	129	21	randomly	randomly	ADV
brj-24472	129	22	initialized	initialize	VERB
brj-24472	129	23	.	.	PUNCT
brj-24472	130	1	these	these	DET
brj-24472	130	2	parameters	parameter	NOUN
brj-24472	130	3	are	be	AUX
brj-24472	130	4	constantly	constantly	ADV
brj-24472	130	5	updated	update	VERB
brj-24472	130	6	during	during	ADP
brj-24472	130	7	training	training	NOUN
brj-24472	130	8	.	.	PUNCT
brj-24472	131	1	(	(	PUNCT
brj-24472	131	2	3	3	X
brj-24472	131	3	)	)	PUNCT
brj-24472	131	4	forward	forward	ADJ
brj-24472	131	5	propagation	propagation	NOUN
brj-24472	131	6	:	:	PUNCT
brj-24472	131	7	the	the	DET
brj-24472	131	8	input	input	NOUN
brj-24472	131	9	data	datum	NOUN
brj-24472	131	10	is	be	AUX
brj-24472	131	11	propagated	propagate	VERB
brj-24472	131	12	forward	forward	ADV
brj-24472	131	13	through	through	ADP
brj-24472	131	14	the	the	DET
brj-24472	131	15	network	network	NOUN
brj-24472	131	16	to	to	PART
brj-24472	131	17	calculate	calculate	VERB
brj-24472	131	18	the	the	DET
brj-24472	131	19	output	output	NOUN
brj-24472	131	20	of	of	ADP
brj-24472	131	21	neurons	neuron	NOUN
brj-24472	131	22	in	in	ADP
brj-24472	131	23	each	each	DET
brj-24472	131	24	layer	layer	NOUN
brj-24472	131	25	.	.	PUNCT
brj-24472	132	1	as	as	ADP
brj-24472	132	2	for	for	ADP
brj-24472	132	3	the	the	DET
brj-24472	132	4	neuron	neuron	NOUN
brj-24472	132	5	of	of	ADP
brj-24472	132	6	no	no	PROPN
brj-24472	132	7	.	.	PUNCT
brj-24472	133	1	n	n	DET
brj-24472	133	2	layer	layer	NOUN
brj-24472	133	3	,	,	PUNCT
brj-24472	133	4	the	the	DET
brj-24472	133	5	output	output	NOUN
brj-24472	133	6	can	can	AUX
brj-24472	133	7	be	be	AUX
brj-24472	133	8	expressed	express	VERB
brj-24472	133	9	as	as	ADP
brj-24472	133	10	:	:	PUNCT
brj-24472	133	11	aj	aj	PROPN
brj-24472	133	12	(	(	PUNCT
brj-24472	133	13	𝑛	𝑛	PROPN
brj-24472	133	14	)	)	PUNCT
brj-24472	133	15	=	=	SYM
brj-24472	133	16	f(∑	f(∑	PROPN
brj-24472	133	17	 	 	SPACE
brj-24472	133	18	i	i	PRON
brj-24472	133	19	wij	wij	PROPN
brj-24472	133	20	(	(	PUNCT
brj-24472	133	21	𝑛−1	𝑛−1	PROPN
brj-24472	133	22	)	)	PUNCT
brj-24472	133	23	ai	ai	PROPN
brj-24472	133	24	(	(	PUNCT
brj-24472	133	25	𝑛−1	𝑛−1	NOUN
brj-24472	133	26	)	)	PUNCT
brj-24472	134	1	+	+	CCONJ
brj-24472	134	2	bj	bj	ADP
brj-24472	134	3	(	(	PUNCT
brj-24472	134	4	𝑛	𝑛	NOUN
brj-24472	134	5	)	)	PUNCT
brj-24472	134	6	)	)	PUNCT
brj-24472	134	7	(	(	PUNCT
brj-24472	134	8	4	4	X
brj-24472	134	9	)	)	PUNCT
brj-24472	134	10	(	(	PUNCT
brj-24472	134	11	4	4	X
brj-24472	134	12	)	)	PUNCT
brj-24472	134	13	error	error	NOUN
brj-24472	134	14	calculation	calculation	NOUN
brj-24472	134	15	:	:	PUNCT
brj-24472	134	16	the	the	DET
brj-24472	134	17	error	error	NOUN
brj-24472	134	18	is	be	AUX
brj-24472	134	19	calculated	calculate	VERB
brj-24472	134	20	at	at	ADP
brj-24472	134	21	the	the	DET
brj-24472	134	22	output	output	NOUN
brj-24472	134	23	layer	layer	NOUN
brj-24472	134	24	,	,	PUNCT
brj-24472	134	25	namely	namely	ADV
brj-24472	134	26	the	the	DET
brj-24472	134	27	difference	difference	NOUN
brj-24472	134	28	between	between	ADP
brj-24472	134	29	the	the	DET
brj-24472	134	30	actual	actual	ADJ
brj-24472	134	31	output	output	NOUN
brj-24472	134	32	and	and	CCONJ
brj-24472	134	33	the	the	DET
brj-24472	134	34	expected	expect	VERB
brj-24472	134	35	output	output	NOUN
brj-24472	134	36	.	.	PUNCT
brj-24472	135	1	it	it	PRON
brj-24472	135	2	is	be	AUX
brj-24472	135	3	commonly	commonly	ADV
brj-24472	135	4	measured	measure	VERB
brj-24472	135	5	by	by	ADP
brj-24472	135	6	mean	mean	ADJ
brj-24472	135	7	square	square	ADJ
brj-24472	135	8	error	error	NOUN
brj-24472	135	9	(	(	PUNCT
brj-24472	135	10	mse	mse	NOUN
brj-24472	135	11	)	)	PUNCT
brj-24472	135	12	.	.	PUNCT
brj-24472	136	1	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
brj-24472	136	2	=	=	SYM
brj-24472	136	3	1	1	NUM
brj-24472	136	4	m	m	NOUN
brj-24472	136	5	∑	∑	NOUN
brj-24472	136	6	 	 	SPACE
brj-24472	136	7	m	m	VERB
brj-24472	136	8	k=1	k=1	X
brj-24472	137	1	(	(	PUNCT
brj-24472	137	2	yk	yk	PROPN
brj-24472	137	3	−	−	PROPN
brj-24472	137	4	�	�	PROPN
brj-24472	137	5	̂	̂	NOUN
brj-24472	137	6	�	�	NOUN
brj-24472	137	7	k)2	k)2	PROPN
brj-24472	137	8	(	(	PUNCT
brj-24472	137	9	5	5	NUM
brj-24472	137	10	)	)	PUNCT
brj-24472	137	11	(	(	PUNCT
brj-24472	137	12	5	5	X
brj-24472	137	13	)	)	PUNCT
brj-24472	137	14	backpropagation	backpropagation	NOUN
brj-24472	137	15	:	:	PUNCT
brj-24472	137	16	the	the	DET
brj-24472	137	17	gradient	gradient	NOUN
brj-24472	137	18	of	of	ADP
brj-24472	137	19	each	each	DET
brj-24472	137	20	layer	layer	NOUN
brj-24472	137	21	’s	’s	PART
brj-24472	137	22	weight	weight	NOUN
brj-24472	137	23	and	and	CCONJ
brj-24472	137	24	bias	bias	NOUN
brj-24472	137	25	is	be	AUX
brj-24472	137	26	calculated	calculate	VERB
brj-24472	137	27	according	accord	VERB
brj-24472	137	28	to	to	ADP
brj-24472	137	29	the	the	DET
brj-24472	137	30	chain	chain	NOUN
brj-24472	137	31	rule	rule	NOUN
brj-24472	137	32	.	.	PUNCT
brj-24472	138	1	these	these	DET
brj-24472	138	2	parameters	parameter	NOUN
brj-24472	138	3	are	be	AUX
brj-24472	138	4	updated	update	VERB
brj-24472	138	5	to	to	PART
brj-24472	138	6	reduce	reduce	VERB
brj-24472	138	7	error	error	NOUN
brj-24472	138	8	.	.	PUNCT
brj-24472	139	1	at	at	ADP
brj-24472	139	2	layer	layer	NOUN
brj-24472	139	3	n	n	CCONJ
brj-24472	139	4	,	,	PUNCT
brj-24472	139	5	the	the	DET
brj-24472	139	6	weigh	weigh	NOUN
brj-24472	139	7	update	update	NOUN
brj-24472	139	8	formula	formula	NOUN
brj-24472	139	9	is	be	AUX
brj-24472	139	10	as	as	SCONJ
brj-24472	139	11	follows	follow	VERB
brj-24472	139	12	:	:	PUNCT
brj-24472	139	13	wij	wij	PROPN
brj-24472	139	14	(	(	PUNCT
brj-24472	139	15	𝑛	𝑛	NOUN
brj-24472	139	16	)	)	PUNCT
brj-24472	139	17	=	=	SYM
brj-24472	139	18	wij	wij	X
brj-24472	139	19	(	(	PUNCT
brj-24472	139	20	𝑛	𝑛	NOUN
brj-24472	139	21	)	)	PUNCT
brj-24472	140	1	−	−	NOUN
brj-24472	140	2	𝜂	𝜂	PROPN
brj-24472	140	3	∂e	∂e	NOUN
brj-24472	140	4	∂wij	∂wij	NOUN
brj-24472	140	5	(	(	PUNCT
brj-24472	140	6	𝑛	𝑛	NOUN
brj-24472	140	7	)	)	PUNCT
brj-24472	140	8	(	(	PUNCT
brj-24472	140	9	6	6	NUM
brj-24472	140	10	)	)	PUNCT
brj-24472	140	11	(	(	PUNCT
brj-24472	140	12	6	6	NUM
brj-24472	140	13	)	)	PUNCT
brj-24472	140	14	iterative	iterative	NOUN
brj-24472	140	15	training	training	NOUN
brj-24472	140	16	;	;	PUNCT
brj-24472	140	17	the	the	DET
brj-24472	140	18	forward	forward	ADJ
brj-24472	140	19	propagation	propagation	NOUN
brj-24472	140	20	,	,	PUNCT
brj-24472	140	21	error	error	NOUN
brj-24472	140	22	calculation	calculation	NOUN
brj-24472	140	23	and	and	CCONJ
brj-24472	140	24	backpropagation	backpropagation	NOUN
brj-24472	140	25	steps	step	NOUN
brj-24472	140	26	are	be	AUX
brj-24472	140	27	repeated	repeat	VERB
brj-24472	140	28	until	until	SCONJ
brj-24472	140	29	a	a	DET
brj-24472	140	30	predetermined	predetermine	VERB
brj-24472	140	31	stop	stop	NOUN
brj-24472	140	32	condition	condition	NOUN
brj-24472	140	33	is	be	AUX
brj-24472	140	34	reached	reach	VERB
brj-24472	140	35	,	,	PUNCT
brj-24472	140	36	such	such	ADJ
brj-24472	140	37	as	as	ADP
brj-24472	140	38	a	a	DET
brj-24472	140	39	maximum	maximum	ADJ
brj-24472	140	40	number	number	NOUN
brj-24472	140	41	of	of	ADP
brj-24472	140	42	iterations	iteration	NOUN
brj-24472	140	43	or	or	CCONJ
brj-24472	140	44	error	error	NOUN
brj-24472	140	45	less	less	ADJ
brj-24472	140	46	than	than	ADP
brj-24472	140	47	a	a	DET
brj-24472	140	48	certain	certain	ADJ
brj-24472	140	49	threshold	threshold	NOUN
brj-24472	140	50	.	.	PUNCT
brj-24472	141	1	genetic	genetic	ADJ
brj-24472	141	2	algorithm	algorithm	NOUN
brj-24472	141	3	genetic	genetic	ADJ
brj-24472	141	4	algorithm	algorithm	NOUN
brj-24472	141	5	(	(	PUNCT
brj-24472	141	6	ga	ga	NOUN
brj-24472	141	7	)	)	PUNCT
brj-24472	141	8	is	be	AUX
brj-24472	141	9	an	an	DET
brj-24472	141	10	optimization	optimization	NOUN
brj-24472	141	11	algorithm	algorithm	NOUN
brj-24472	141	12	based	base	VERB
brj-24472	141	13	on	on	ADP
brj-24472	141	14	the	the	DET
brj-24472	141	15	principles	principle	NOUN
brj-24472	141	16	of	of	ADP
brj-24472	141	17	natural	natural	ADJ
brj-24472	141	18	selection	selection	NOUN
brj-24472	141	19	and	and	CCONJ
brj-24472	141	20	genetics	genetic	NOUN
brj-24472	141	21	,	,	PUNCT
brj-24472	141	22	which	which	PRON
brj-24472	141	23	aims	aim	VERB
brj-24472	141	24	to	to	PART
brj-24472	141	25	find	find	VERB
brj-24472	141	26	the	the	DET
brj-24472	141	27	optimal	optimal	ADJ
brj-24472	141	28	solution	solution	NOUN
brj-24472	141	29	by	by	ADP
brj-24472	141	30	simulating	simulate	VERB
brj-24472	141	31	the	the	DET
brj-24472	141	32	biological	biological	ADJ
brj-24472	141	33	evolution	evolution	NOUN
brj-24472	141	34	process	process	NOUN
brj-24472	141	35	(	(	PUNCT
brj-24472	141	36	scrucca	scrucca	NOUN
brj-24472	141	37	2013	2013	NUM
brj-24472	141	38	)	)	PUNCT
brj-24472	141	39	.	.	PUNCT
brj-24472	142	1	it	it	PRON
brj-24472	142	2	evaluates	evaluate	VERB
brj-24472	142	3	each	each	DET
brj-24472	142	4	coding	code	VERB
brj-24472	142	5	individual	individual	NOUN
brj-24472	142	6	through	through	ADP
brj-24472	142	7	a	a	DET
brj-24472	142	8	self	self	NOUN
brj-24472	142	9	-	-	PUNCT
brj-24472	142	10	defined	define	VERB
brj-24472	142	11	fitness	fitness	NOUN
brj-24472	142	12	function	function	NOUN
brj-24472	142	13	;	;	PUNCT
brj-24472	142	14	and	and	CCONJ
brj-24472	142	15	it	it	PRON
brj-24472	142	16	removes	remove	VERB
brj-24472	142	17	the	the	DET
brj-24472	142	18	bad	bad	ADJ
brj-24472	142	19	individual	individual	NOUN
brj-24472	142	20	,	,	PUNCT
brj-24472	142	21	selects	select	VERB
brj-24472	142	22	the	the	DET
brj-24472	142	23	adaptive	adaptive	ADJ
brj-24472	142	24	coding	code	VERB
brj-24472	142	25	individual	individual	NOUN
brj-24472	142	26	for	for	ADP
brj-24472	142	27	selection	selection	NOUN
brj-24472	142	28	,	,	PUNCT
brj-24472	142	29	crossover	crossover	NOUN
brj-24472	142	30	and	and	CCONJ
brj-24472	142	31	mutation	mutation	NOUN
brj-24472	142	32	.	.	PUNCT
brj-24472	143	1	it	it	PRON
brj-24472	143	2	also	also	ADV
brj-24472	143	3	generates	generate	VERB
brj-24472	143	4	the	the	DET
brj-24472	143	5	post	post	ADJ
brj-24472	143	6	-	-	ADJ
brj-24472	143	7	generation	generation	ADJ
brj-24472	143	8	group	group	NOUN
brj-24472	143	9	several	several	ADJ
brj-24472	143	10	times	time	NOUN
brj-24472	143	11	until	until	SCONJ
brj-24472	143	12	the	the	DET
brj-24472	143	13	coding	code	VERB
brj-24472	143	14	individual	individual	NOUN
brj-24472	143	15	approaches	approach	VERB
brj-24472	143	16	the	the	DET
brj-24472	143	17	optimal	optimal	ADJ
brj-24472	143	18	solution	solution	NOUN
brj-24472	143	19	.	.	PUNCT
brj-24472	144	1	in	in	ADP
brj-24472	144	2	this	this	DET
brj-24472	144	3	paper	paper	NOUN
brj-24472	144	4	,	,	PUNCT
brj-24472	144	5	ga	ga	PROPN
brj-24472	144	6	-	-	PUNCT
brj-24472	144	7	bpnn	bpnn	NOUN
brj-24472	144	8	combines	combine	VERB
brj-24472	144	9	the	the	DET
brj-24472	144	10	advantages	advantage	NOUN
brj-24472	144	11	of	of	ADP
brj-24472	144	12	both	both	DET
brj-24472	144	13	ga	ga	PROPN
brj-24472	144	14	and	and	CCONJ
brj-24472	144	15	bpnn	bpnn	NOUN
brj-24472	144	16	and	and	CCONJ
brj-24472	144	17	optimizes	optimize	VERB
brj-24472	144	18	the	the	DET
brj-24472	144	19	weight	weight	NOUN
brj-24472	144	20	and	and	CCONJ
brj-24472	144	21	bias	bias	NOUN
brj-24472	144	22	in	in	ADP
brj-24472	144	23	bpnn	bpnn	PROPN
brj-24472	144	24	through	through	ADP
brj-24472	144	25	ga	ga	PROPN
brj-24472	144	26	to	to	PART
brj-24472	144	27	improve	improve	VERB
brj-24472	144	28	the	the	DET
brj-24472	144	29	model	model	NOUN
brj-24472	144	30	performance	performance	NOUN
brj-24472	144	31	.	.	PUNCT
brj-24472	145	1	in	in	ADP
brj-24472	145	2	ga	ga	PROPN
brj-24472	145	3	-	-	PUNCT
brj-24472	145	4	bpnn	bpnn	PROPN
brj-24472	145	5	,	,	PUNCT
brj-24472	145	6	ga	ga	PROPN
brj-24472	145	7	is	be	AUX
brj-24472	145	8	used	use	VERB
brj-24472	145	9	to	to	PART
brj-24472	145	10	search	search	VERB
brj-24472	145	11	for	for	ADP
brj-24472	145	12	the	the	DET
brj-24472	145	13	best	good	ADJ
brj-24472	145	14	weight	weight	NOUN
brj-24472	145	15	configuration	configuration	NOUN
brj-24472	145	16	,	,	PUNCT
brj-24472	145	17	while	while	SCONJ
brj-24472	145	18	bpnn	bpnn	NOUN
brj-24472	145	19	is	be	AUX
brj-24472	145	20	used	use	VERB
brj-24472	145	21	to	to	PART
brj-24472	145	22	establish	establish	VERB
brj-24472	145	23	complex	complex	ADJ
brj-24472	145	24	data	datum	NOUN
brj-24472	145	25	mapping	mapping	NOUN
brj-24472	145	26	relationships	relationship	NOUN
brj-24472	145	27	(	(	PUNCT
brj-24472	145	28	fu	fu	NOUN
brj-24472	145	29	et	et	PROPN
brj-24472	145	30	al	al	PROPN
brj-24472	145	31	.	.	PROPN
brj-24472	145	32	2023	2023	NUM
brj-24472	145	33	)	)	PUNCT
brj-24472	145	34	.	.	PUNCT
brj-24472	146	1	this	this	DET
brj-24472	146	2	combination	combination	NOUN
brj-24472	146	3	makes	make	VERB
brj-24472	146	4	the	the	DET
brj-24472	146	5	model	model	NOUN
brj-24472	146	6	not	not	PART
brj-24472	146	7	only	only	ADV
brj-24472	146	8	have	have	VERB
brj-24472	146	9	high	high	ADJ
brj-24472	146	10	accuracy	accuracy	NOUN
brj-24472	146	11	but	but	CCONJ
brj-24472	146	12	also	also	ADV
brj-24472	146	13	can	can	AUX
brj-24472	146	14	effectively	effectively	ADV
brj-24472	146	15	avoid	avoid	VERB
brj-24472	146	16	the	the	DET
brj-24472	146	17	problem	problem	NOUN
brj-24472	146	18	of	of	ADP
brj-24472	146	19	local	local	ADJ
brj-24472	146	20	optimal	optimal	ADJ
brj-24472	146	21	solution	solution	NOUN
brj-24472	146	22	and	and	CCONJ
brj-24472	146	23	improve	improve	VERB
brj-24472	146	24	the	the	DET
brj-24472	146	25	overall	overall	ADJ
brj-24472	146	26	optimization	optimization	NOUN
brj-24472	146	27	effect	effect	NOUN
brj-24472	146	28	.	.	PUNCT
brj-24472	147	1	the	the	DET
brj-24472	147	2	flow	flow	NOUN
brj-24472	147	3	chart	chart	NOUN
brj-24472	147	4	of	of	ADP
brj-24472	147	5	ga	ga	PROPN
brj-24472	147	6	-	-	PUNCT
brj-24472	147	7	bpnn	bpnn	PROPN
brj-24472	147	8	is	be	AUX
brj-24472	147	9	shown	show	VERB
brj-24472	147	10	in	in	ADP
brj-24472	147	11	fig	fig	NOUN
brj-24472	147	12	.	.	PUNCT
brj-24472	148	1	2	2	NUM
brj-24472	149	1	and	and	CCONJ
brj-24472	149	2	the	the	DET
brj-24472	149	3	steps	step	NOUN
brj-24472	149	4	are	be	AUX
brj-24472	149	5	as	as	SCONJ
brj-24472	149	6	follows	follow	VERB
brj-24472	149	7	:	:	PUNCT
brj-24472	149	8	peer	peer	NOUN
brj-24472	149	9	-	-	PUNCT
brj-24472	149	10	reviewed	review	VERB
brj-24472	149	11	article	article	NOUN
brj-24472	149	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	149	13	huang	huang	PROPN
brj-24472	149	14	et	et	PROPN
brj-24472	149	15	al	al	PROPN
brj-24472	149	16	.	.	PROPN
brj-24472	150	1	(	(	PUNCT
brj-24472	150	2	2025	2025	NUM
brj-24472	150	3	)	)	PUNCT
brj-24472	150	4	.	.	PUNCT
brj-24472	151	1	“	"	PUNCT
brj-24472	151	2	bamboo	bamboo	NOUN
brj-24472	151	3	furniture	furniture	NOUN
brj-24472	151	4	design	design	NOUN
brj-24472	151	5	,	,	PUNCT
brj-24472	151	6	”	"	PUNCT
brj-24472	151	7	bioresources	bioresource	NOUN
brj-24472	151	8	20(3	20(3	NOUN
brj-24472	151	9	)	)	PUNCT
brj-24472	151	10	,	,	PUNCT
brj-24472	151	11	7107	7107	NUM
brj-24472	151	12	-	-	SYM
brj-24472	151	13	7133	7133	NUM
brj-24472	151	14	.	.	PUNCT
brj-24472	152	1	7113	7113	NUM
brj-24472	152	2	(	(	PUNCT
brj-24472	152	3	1	1	X
brj-24472	152	4	)	)	PUNCT
brj-24472	152	5	initial	initial	ADJ
brj-24472	152	6	population	population	NOUN
brj-24472	152	7	:	:	PUNCT
brj-24472	152	8	at	at	ADP
brj-24472	152	9	the	the	DET
brj-24472	152	10	beginning	beginning	NOUN
brj-24472	152	11	of	of	ADP
brj-24472	152	12	ga	ga	PROPN
brj-24472	152	13	,	,	PUNCT
brj-24472	152	14	an	an	DET
brj-24472	152	15	initial	initial	ADJ
brj-24472	152	16	population	population	NOUN
brj-24472	152	17	is	be	AUX
brj-24472	152	18	randomly	randomly	ADV
brj-24472	152	19	generated	generate	VERB
brj-24472	152	20	,	,	PUNCT
brj-24472	152	21	with	with	ADP
brj-24472	152	22	each	each	DET
brj-24472	152	23	individual	individual	NOUN
brj-24472	152	24	(	(	PUNCT
brj-24472	152	25	chromosome	chromosome	NOUN
brj-24472	152	26	)	)	PUNCT
brj-24472	152	27	representing	represent	VERB
brj-24472	152	28	a	a	DET
brj-24472	152	29	possible	possible	ADJ
brj-24472	152	30	solution	solution	NOUN
brj-24472	152	31	.	.	PUNCT
brj-24472	153	1	each	each	DET
brj-24472	153	2	individual	individual	NOUN
brj-24472	153	3	consists	consist	VERB
brj-24472	153	4	of	of	ADP
brj-24472	153	5	a	a	DET
brj-24472	153	6	set	set	NOUN
brj-24472	153	7	of	of	ADP
brj-24472	153	8	parameters	parameter	NOUN
brj-24472	153	9	,	,	PUNCT
brj-24472	153	10	which	which	PRON
brj-24472	153	11	are	be	AUX
brj-24472	153	12	usually	usually	ADV
brj-24472	153	13	variables	variable	NOUN
brj-24472	153	14	for	for	SCONJ
brj-24472	153	15	the	the	DET
brj-24472	153	16	problem	problem	NOUN
brj-24472	153	17	to	to	PART
brj-24472	153	18	be	be	AUX
brj-24472	153	19	optimized	optimize	VERB
brj-24472	153	20	.	.	PUNCT
brj-24472	154	1	individual	individual	NOUN
brj-24472	154	2	=	=	PUNCT
brj-24472	155	1	[	[	X
brj-24472	155	2	x1	x1	PROPN
brj-24472	155	3	,	,	PUNCT
brj-24472	155	4	x2	x2	PROPN
brj-24472	155	5	,	,	PUNCT
brj-24472	155	6	…	…	PUNCT
brj-24472	155	7	,	,	PUNCT
brj-24472	155	8	x𝑛	x𝑛	X
brj-24472	155	9	]	]	X
brj-24472	155	10	(	(	PUNCT
brj-24472	155	11	7	7	NUM
brj-24472	155	12	)	)	PUNCT
brj-24472	155	13	(	(	PUNCT
brj-24472	155	14	2	2	X
brj-24472	155	15	)	)	PUNCT
brj-24472	155	16	fitness	fitness	NOUN
brj-24472	155	17	assessment	assessment	NOUN
brj-24472	155	18	:	:	PUNCT
brj-24472	155	19	for	for	ADP
brj-24472	155	20	each	each	DET
brj-24472	155	21	individual	individual	NOUN
brj-24472	155	22	,	,	PUNCT
brj-24472	155	23	a	a	DET
brj-24472	155	24	fitness	fitness	NOUN
brj-24472	155	25	value	value	NOUN
brj-24472	155	26	is	be	AUX
brj-24472	155	27	calculated	calculate	VERB
brj-24472	155	28	based	base	VERB
brj-24472	155	29	on	on	ADP
brj-24472	155	30	its	its	PRON
brj-24472	155	31	performance	performance	NOUN
brj-24472	155	32	in	in	ADP
brj-24472	155	33	the	the	DET
brj-24472	155	34	objective	objective	ADJ
brj-24472	155	35	function	function	NOUN
brj-24472	155	36	.	.	PUNCT
brj-24472	156	1	for	for	ADP
brj-24472	156	2	example	example	NOUN
brj-24472	156	3	,	,	PUNCT
brj-24472	156	4	as	as	ADP
brj-24472	156	5	for	for	ADP
brj-24472	156	6	the	the	DET
brj-24472	156	7	minimization	minimization	NOUN
brj-24472	156	8	problem	problem	NOUN
brj-24472	156	9	,	,	PUNCT
brj-24472	156	10	fitness	fitness	NOUN
brj-24472	156	11	can	can	AUX
brj-24472	156	12	be	be	AUX
brj-24472	156	13	defined	define	VERB
brj-24472	156	14	as	as	ADP
brj-24472	156	15	:	:	PUNCT
brj-24472	156	16	fitness	fitness	NOUN
brj-24472	156	17	=	=	SYM
brj-24472	156	18	1	1	NUM
brj-24472	156	19	1+f(x	1+f(x	NOUN
brj-24472	156	20	)	)	PUNCT
brj-24472	156	21	(	(	PUNCT
brj-24472	156	22	8)	8)	NUM
brj-24472	156	23	(	(	PUNCT
brj-24472	156	24	3	3	NUM
brj-24472	156	25	)	)	PUNCT
brj-24472	156	26	selection	selection	NOUN
brj-24472	156	27	and	and	CCONJ
brj-24472	156	28	crossover	crossover	NOUN
brj-24472	156	29	:	:	PUNCT
brj-24472	156	30	select	select	VERB
brj-24472	156	31	individuals	individual	NOUN
brj-24472	156	32	for	for	ADP
brj-24472	156	33	breeding	breeding	NOUN
brj-24472	156	34	based	base	VERB
brj-24472	156	35	on	on	ADP
brj-24472	156	36	fitness	fitness	NOUN
brj-24472	156	37	value	value	NOUN
brj-24472	156	38	.	.	PUNCT
brj-24472	157	1	the	the	DET
brj-24472	157	2	common	common	ADJ
brj-24472	157	3	selection	selection	NOUN
brj-24472	157	4	methods	method	NOUN
brj-24472	157	5	include	include	VERB
brj-24472	157	6	roulette	roulette	NOUN
brj-24472	157	7	selection	selection	NOUN
brj-24472	157	8	,	,	PUNCT
brj-24472	157	9	tournament	tournament	NOUN
brj-24472	157	10	selection	selection	NOUN
brj-24472	157	11	,	,	PUNCT
brj-24472	157	12	which	which	PRON
brj-24472	157	13	aims	aim	VERB
brj-24472	157	14	at	at	ADP
brj-24472	157	15	preserving	preserve	VERB
brj-24472	157	16	excellent	excellent	ADJ
brj-24472	157	17	genes	gene	NOUN
brj-24472	157	18	and	and	CCONJ
brj-24472	157	19	generating	generate	VERB
brj-24472	157	20	the	the	DET
brj-24472	157	21	next	next	ADJ
brj-24472	157	22	generation	generation	NOUN
brj-24472	157	23	.	.	PUNCT
brj-24472	158	1	crossover	crossover	NOUN
brj-24472	158	2	is	be	AUX
brj-24472	158	3	the	the	DET
brj-24472	158	4	process	process	NOUN
brj-24472	158	5	of	of	ADP
brj-24472	158	6	combining	combine	VERB
brj-24472	158	7	two	two	NUM
brj-24472	158	8	parent	parent	NOUN
brj-24472	158	9	individuals	individual	NOUN
brj-24472	158	10	to	to	PART
brj-24472	158	11	produce	produce	VERB
brj-24472	158	12	a	a	DET
brj-24472	158	13	new	new	ADJ
brj-24472	158	14	individual	individual	NOUN
brj-24472	158	15	.	.	PUNCT
brj-24472	159	1	the	the	DET
brj-24472	159	2	common	common	ADJ
brj-24472	159	3	crossover	crossover	NOUN
brj-24472	159	4	methods	method	NOUN
brj-24472	159	5	include	include	VERB
brj-24472	159	6	single	single	ADJ
brj-24472	159	7	-	-	PUNCT
brj-24472	159	8	point	point	NOUN
brj-24472	159	9	crossover	crossover	NOUN
brj-24472	159	10	and	and	CCONJ
brj-24472	159	11	multi	multi	ADJ
brj-24472	159	12	-	-	ADJ
brj-24472	159	13	point	point	ADJ
brj-24472	159	14	crossover	crossover	NOUN
brj-24472	159	15	.	.	PUNCT
brj-24472	160	1	for	for	ADP
brj-24472	160	2	example	example	NOUN
brj-24472	160	3	,	,	PUNCT
brj-24472	160	4	in	in	ADP
brj-24472	160	5	a	a	DET
brj-24472	160	6	single	single	ADJ
brj-24472	160	7	point	point	NOUN
brj-24472	160	8	crossover	crossover	NOUN
brj-24472	160	9	,	,	PUNCT
brj-24472	160	10	a	a	DET
brj-24472	160	11	crossover	crossover	NOUN
brj-24472	160	12	point	point	NOUN
brj-24472	160	13	can	can	AUX
brj-24472	160	14	be	be	AUX
brj-24472	160	15	randomly	randomly	ADV
brj-24472	160	16	selected	select	VERB
brj-24472	160	17	to	to	PART
brj-24472	160	18	exchange	exchange	VERB
brj-24472	160	19	the	the	DET
brj-24472	160	20	genes	gene	NOUN
brj-24472	160	21	of	of	ADP
brj-24472	160	22	the	the	DET
brj-24472	160	23	parent	parent	NOUN
brj-24472	160	24	:	:	PUNCT
brj-24472	160	25	c1	c1	PROPN
brj-24472	160	26	=	=	PUNCT
brj-24472	161	1	[	[	X
brj-24472	161	2	p1,1	p1,1	NOUN
brj-24472	161	3	,	,	PUNCT
brj-24472	161	4	p1,2	p1,2	ADJ
brj-24472	161	5	,	,	PUNCT
brj-24472	161	6	…	…	PUNCT
brj-24472	161	7	,	,	PUNCT
brj-24472	161	8	p1,k	p1,k	PROPN
brj-24472	161	9	,	,	PUNCT
brj-24472	161	10	p2,k+1	p2,k+1	PROPN
brj-24472	161	11	,	,	PUNCT
brj-24472	161	12	…	…	PUNCT
brj-24472	161	13	,	,	PUNCT
brj-24472	161	14	p2,n	p2,n	PROPN
brj-24472	161	15	]	]	PUNCT
brj-24472	161	16	(	(	PUNCT
brj-24472	161	17	9	9	NUM
brj-24472	161	18	)	)	PUNCT
brj-24472	161	19	(	(	PUNCT
brj-24472	161	20	4	4	X
brj-24472	161	21	)	)	PUNCT
brj-24472	161	22	mutation	mutation	NOUN
brj-24472	161	23	operation	operation	NOUN
brj-24472	161	24	:	:	PUNCT
brj-24472	161	25	mutation	mutation	NOUN
brj-24472	161	26	is	be	AUX
brj-24472	161	27	the	the	DET
brj-24472	161	28	random	random	ADJ
brj-24472	161	29	change	change	NOUN
brj-24472	161	30	of	of	ADP
brj-24472	161	31	certain	certain	ADJ
brj-24472	161	32	genes	gene	NOUN
brj-24472	161	33	in	in	ADP
brj-24472	161	34	the	the	DET
brj-24472	161	35	newly	newly	ADV
brj-24472	161	36	generated	generate	VERB
brj-24472	161	37	offspring	offspring	NOUN
brj-24472	161	38	to	to	PART
brj-24472	161	39	increase	increase	VERB
brj-24472	161	40	the	the	DET
brj-24472	161	41	diversity	diversity	NOUN
brj-24472	161	42	of	of	ADP
brj-24472	161	43	the	the	DET
brj-24472	161	44	population	population	NOUN
brj-24472	161	45	.	.	PUNCT
brj-24472	162	1	mutation	mutation	NOUN
brj-24472	162	2	can	can	AUX
brj-24472	162	3	be	be	AUX
brj-24472	162	4	achieved	achieve	VERB
brj-24472	162	5	by	by	ADP
brj-24472	162	6	simply	simply	ADV
brj-24472	162	7	and	and	CCONJ
brj-24472	162	8	randomly	randomly	ADV
brj-24472	162	9	adjusting	adjust	VERB
brj-24472	162	10	certain	certain	ADJ
brj-24472	162	11	parameters	parameter	NOUN
brj-24472	162	12	.	.	PUNCT
brj-24472	163	1	for	for	ADP
brj-24472	163	2	example	example	NOUN
brj-24472	163	3	,	,	PUNCT
brj-24472	163	4	mutation	mutation	NOUN
brj-24472	163	5	can	can	AUX
brj-24472	163	6	be	be	AUX
brj-24472	163	7	represented	represent	VERB
brj-24472	163	8	by	by	ADP
brj-24472	163	9	the	the	DET
brj-24472	163	10	following	follow	VERB
brj-24472	163	11	formula	formula	NOUN
brj-24472	163	12	:	:	PUNCT
brj-24472	163	13	cj	cj	NOUN
brj-24472	164	1	=	=	SYM
brj-24472	164	2	cj	cj	NOUN
brj-24472	164	3	+	+	CCONJ
brj-24472	164	4	n(0	n(0	PROPN
brj-24472	164	5	,	,	PUNCT
brj-24472	164	6	𝜎	𝜎	NOUN
brj-24472	164	7	)	)	PUNCT
brj-24472	164	8	(	(	PUNCT
brj-24472	164	9	10	10	NUM
brj-24472	164	10	)	)	PUNCT
brj-24472	164	11	(	(	PUNCT
brj-24472	164	12	5	5	X
brj-24472	164	13	)	)	PUNCT
brj-24472	164	14	stop	stop	VERB
brj-24472	164	15	condition	condition	NOUN
brj-24472	164	16	:	:	PUNCT
brj-24472	164	17	the	the	DET
brj-24472	164	18	newly	newly	ADV
brj-24472	164	19	generated	generate	VERB
brj-24472	164	20	next	next	ADJ
brj-24472	164	21	generation	generation	NOUN
brj-24472	164	22	is	be	AUX
brj-24472	164	23	combined	combine	VERB
brj-24472	164	24	with	with	ADP
brj-24472	164	25	the	the	DET
brj-24472	164	26	original	original	ADJ
brj-24472	164	27	population	population	NOUN
brj-24472	164	28	;	;	PUNCT
brj-24472	164	29	and	and	CCONJ
brj-24472	164	30	the	the	DET
brj-24472	164	31	next	next	ADJ
brj-24472	164	32	generation	generation	NOUN
brj-24472	164	33	population	population	NOUN
brj-24472	164	34	is	be	AUX
brj-24472	164	35	selected	select	VERB
brj-24472	164	36	according	accord	VERB
brj-24472	164	37	to	to	ADP
brj-24472	164	38	the	the	DET
brj-24472	164	39	fitness	fitness	NOUN
brj-24472	164	40	;	;	PUNCT
brj-24472	164	41	the	the	DET
brj-24472	164	42	elite	elite	ADJ
brj-24472	164	43	strategy	strategy	NOUN
brj-24472	164	44	is	be	AUX
brj-24472	164	45	usually	usually	ADV
brj-24472	164	46	adopted	adopt	VERB
brj-24472	164	47	to	to	PART
brj-24472	164	48	retain	retain	VERB
brj-24472	164	49	several	several	ADJ
brj-24472	164	50	individuals	individual	NOUN
brj-24472	164	51	with	with	ADP
brj-24472	164	52	the	the	DET
brj-24472	164	53	highest	high	ADJ
brj-24472	164	54	fitness	fitness	NOUN
brj-24472	164	55	.	.	PUNCT
brj-24472	165	1	determine	determine	VERB
brj-24472	165	2	if	if	SCONJ
brj-24472	165	3	the	the	DET
brj-24472	165	4	stop	stop	NOUN
brj-24472	165	5	condition	condition	NOUN
brj-24472	165	6	is	be	AUX
brj-24472	165	7	met	meet	VERB
brj-24472	165	8	,	,	PUNCT
brj-24472	165	9	such	such	ADJ
brj-24472	165	10	as	as	ADP
brj-24472	165	11	reaching	reach	VERB
brj-24472	165	12	the	the	DET
brj-24472	165	13	maximum	maximum	ADJ
brj-24472	165	14	number	number	NOUN
brj-24472	165	15	of	of	ADP
brj-24472	165	16	iterations	iteration	NOUN
brj-24472	165	17	or	or	CCONJ
brj-24472	165	18	no	no	DET
brj-24472	165	19	significant	significant	ADJ
brj-24472	165	20	improvement	improvement	NOUN
brj-24472	165	21	in	in	ADP
brj-24472	165	22	fitness	fitness	NOUN
brj-24472	165	23	.	.	PUNCT
brj-24472	166	1	if	if	SCONJ
brj-24472	166	2	the	the	DET
brj-24472	166	3	condition	condition	NOUN
brj-24472	166	4	is	be	AUX
brj-24472	166	5	met	meet	VERB
brj-24472	166	6	,	,	PUNCT
brj-24472	166	7	the	the	DET
brj-24472	166	8	current	current	ADJ
brj-24472	166	9	optimal	optimal	ADJ
brj-24472	166	10	individual	individual	NOUN
brj-24472	166	11	is	be	AUX
brj-24472	166	12	output	output	NOUN
brj-24472	166	13	as	as	ADP
brj-24472	166	14	the	the	DET
brj-24472	166	15	optimization	optimization	NOUN
brj-24472	166	16	result	result	NOUN
brj-24472	166	17	.	.	PUNCT
brj-24472	167	1	peer	peer	NOUN
brj-24472	167	2	-	-	PUNCT
brj-24472	167	3	reviewed	review	VERB
brj-24472	167	4	article	article	NOUN
brj-24472	167	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	167	6	huang	huang	PROPN
brj-24472	167	7	et	et	PROPN
brj-24472	167	8	al	al	PROPN
brj-24472	167	9	.	.	PROPN
brj-24472	168	1	(	(	PUNCT
brj-24472	168	2	2025	2025	NUM
brj-24472	168	3	)	)	PUNCT
brj-24472	168	4	.	.	PUNCT
brj-24472	169	1	“	"	PUNCT
brj-24472	169	2	bamboo	bamboo	NOUN
brj-24472	169	3	furniture	furniture	NOUN
brj-24472	169	4	design	design	NOUN
brj-24472	169	5	,	,	PUNCT
brj-24472	169	6	”	"	PUNCT
brj-24472	169	7	bioresources	bioresource	NOUN
brj-24472	169	8	20(3	20(3	NOUN
brj-24472	169	9	)	)	PUNCT
brj-24472	169	10	,	,	PUNCT
brj-24472	169	11	7107	7107	NUM
brj-24472	169	12	-	-	SYM
brj-24472	169	13	7133	7133	NUM
brj-24472	169	14	.	.	PUNCT
brj-24472	170	1	7114	7114	NUM
brj-24472	170	2	fig	fig	NOUN
brj-24472	170	3	.	.	PUNCT
brj-24472	171	1	2	2	X
brj-24472	171	2	.	.	X
brj-24472	171	3	operational	operational	ADJ
brj-24472	171	4	process	process	NOUN
brj-24472	171	5	of	of	ADP
brj-24472	171	6	the	the	DET
brj-24472	171	7	ga	ga	PROPN
brj-24472	171	8	-	-	PUNCT
brj-24472	171	9	bpnn	bpnn	PROPN
brj-24472	171	10	model	model	NOUN
brj-24472	171	11	shapley	shapley	PROPN
brj-24472	171	12	additive	additive	ADJ
brj-24472	171	13	explanations	explanation	NOUN
brj-24472	171	14	the	the	DET
brj-24472	171	15	shap	shap	PROPN
brj-24472	171	16	method	method	NOUN
brj-24472	171	17	estimates	estimate	VERB
brj-24472	171	18	the	the	DET
brj-24472	171	19	impact	impact	NOUN
brj-24472	171	20	of	of	ADP
brj-24472	171	21	a	a	DET
brj-24472	171	22	feature	feature	NOUN
brj-24472	171	23	by	by	ADP
brj-24472	171	24	observing	observe	VERB
brj-24472	171	25	the	the	DET
brj-24472	171	26	model	model	NOUN
brj-24472	171	27	's	's	PART
brj-24472	171	28	behavior	behavior	NOUN
brj-24472	171	29	with	with	ADP
brj-24472	171	30	and	and	CCONJ
brj-24472	171	31	without	without	ADP
brj-24472	171	32	that	that	DET
brj-24472	171	33	feature	feature	NOUN
brj-24472	171	34	.	.	PUNCT
brj-24472	172	1	to	to	PART
brj-24472	172	2	achieve	achieve	VERB
brj-24472	172	3	this	this	PRON
brj-24472	172	4	,	,	PUNCT
brj-24472	172	5	the	the	DET
brj-24472	172	6	feature	feature	NOUN
brj-24472	172	7	attribution	attribution	NOUN
brj-24472	172	8	problem	problem	NOUN
brj-24472	172	9	is	be	AUX
brj-24472	172	10	transformed	transform	VERB
brj-24472	172	11	into	into	ADP
brj-24472	172	12	a	a	DET
brj-24472	172	13	cooperative	cooperative	ADJ
brj-24472	172	14	game	game	NOUN
brj-24472	172	15	theory	theory	NOUN
brj-24472	172	16	problem	problem	NOUN
brj-24472	172	17	.	.	PUNCT
brj-24472	173	1	the	the	DET
brj-24472	173	2	shap	shap	PROPN
brj-24472	173	3	value	value	NOUN
brj-24472	173	4	is	be	AUX
brj-24472	173	5	the	the	DET
brj-24472	173	6	unique	unique	ADJ
brj-24472	173	7	,	,	PUNCT
brj-24472	173	8	consistent	consistent	ADJ
brj-24472	173	9	,	,	PUNCT
brj-24472	173	10	and	and	CCONJ
brj-24472	173	11	local	local	ADJ
brj-24472	173	12	precise	precise	ADJ
brj-24472	173	13	solution	solution	NOUN
brj-24472	173	14	that	that	PRON
brj-24472	173	15	calculates	calculate	VERB
brj-24472	173	16	the	the	DET
brj-24472	173	17	contribution	contribution	NOUN
brj-24472	173	18	of	of	ADP
brj-24472	173	19	each	each	DET
brj-24472	173	20	feature	feature	NOUN
brj-24472	173	21	to	to	ADP
brj-24472	173	22	the	the	DET
brj-24472	173	23	final	final	ADJ
brj-24472	173	24	output	output	NOUN
brj-24472	173	25	when	when	SCONJ
brj-24472	173	26	an	an	DET
brj-24472	173	27	attribute	attribute	NOUN
brj-24472	173	28	is	be	AUX
brj-24472	173	29	missing	miss	VERB
brj-24472	173	30	(	(	PUNCT
brj-24472	173	31	with	with	ADP
brj-24472	173	32	the	the	DET
brj-24472	173	33	missing	miss	VERB
brj-24472	173	34	feature	feature	NOUN
brj-24472	173	35	's	's	PART
brj-24472	173	36	attribution	attribution	NOUN
brj-24472	173	37	set	set	VERB
brj-24472	173	38	to	to	ADP
brj-24472	173	39	zero	zero	NUM
brj-24472	173	40	)	)	PUNCT
brj-24472	173	41	.	.	PUNCT
brj-24472	174	1	the	the	DET
brj-24472	174	2	shap	shap	PROPN
brj-24472	174	3	value	value	NOUN
brj-24472	174	4	provides	provide	VERB
brj-24472	174	5	a	a	DET
brj-24472	174	6	numerical	numerical	ADJ
brj-24472	174	7	measure	measure	NOUN
brj-24472	174	8	that	that	PRON
brj-24472	174	9	indicates	indicate	VERB
brj-24472	174	10	the	the	DET
brj-24472	174	11	average	average	ADJ
brj-24472	174	12	contribution	contribution	NOUN
brj-24472	174	13	of	of	ADP
brj-24472	174	14	a	a	DET
brj-24472	174	15	feature	feature	NOUN
brj-24472	174	16	to	to	ADP
brj-24472	174	17	the	the	DET
brj-24472	174	18	model	model	NOUN
brj-24472	174	19	's	's	PART
brj-24472	174	20	prediction	prediction	NOUN
brj-24472	174	21	,	,	PUNCT
brj-24472	174	22	considering	consider	VERB
brj-24472	174	23	all	all	DET
brj-24472	174	24	possible	possible	ADJ
brj-24472	174	25	combinations	combination	NOUN
brj-24472	174	26	of	of	ADP
brj-24472	174	27	the	the	DET
brj-24472	174	28	other	other	ADJ
brj-24472	174	29	features	feature	NOUN
brj-24472	174	30	.	.	PUNCT
brj-24472	175	1	a	a	DET
brj-24472	175	2	positive	positive	ADJ
brj-24472	175	3	value	value	NOUN
brj-24472	175	4	indicates	indicate	VERB
brj-24472	175	5	that	that	SCONJ
brj-24472	175	6	the	the	DET
brj-24472	175	7	feature	feature	NOUN
brj-24472	175	8	has	have	VERB
brj-24472	175	9	a	a	DET
brj-24472	175	10	positive	positive	ADJ
brj-24472	175	11	impact	impact	NOUN
brj-24472	175	12	on	on	ADP
brj-24472	175	13	the	the	DET
brj-24472	175	14	prediction	prediction	NOUN
brj-24472	175	15	,	,	PUNCT
brj-24472	175	16	while	while	SCONJ
brj-24472	175	17	a	a	DET
brj-24472	175	18	negative	negative	ADJ
brj-24472	175	19	value	value	NOUN
brj-24472	175	20	indicates	indicate	VERB
brj-24472	175	21	a	a	DET
brj-24472	175	22	negative	negative	ADJ
brj-24472	175	23	contribution	contribution	NOUN
brj-24472	175	24	.	.	PUNCT
brj-24472	176	1	the	the	DET
brj-24472	176	2	shapley	shapley	ADJ
brj-24472	176	3	value	value	NOUN
brj-24472	176	4	for	for	ADP
brj-24472	176	5	a	a	DET
brj-24472	176	6	feature	feature	NOUN
brj-24472	176	7	i	i	PRON
brj-24472	176	8	in	in	ADP
brj-24472	176	9	a	a	DET
brj-24472	176	10	feature	feature	NOUN
brj-24472	176	11	set	set	NOUN
brj-24472	176	12	s	s	PART
brj-24472	176	13	is	be	AUX
brj-24472	176	14	calculated	calculate	VERB
brj-24472	176	15	as	as	SCONJ
brj-24472	176	16	follows	follow	VERB
brj-24472	176	17	:	:	PUNCT
brj-24472	176	18	∅i	∅i	ADJ
brj-24472	176	19	=	=	SYM
brj-24472	176	20	∑	∑	PUNCT
brj-24472	176	21	|s|!(|n|−|s|−1	|s|!(|n|−|s|−1	PROPN
brj-24472	176	22	)	)	PUNCT
brj-24472	176	23	!	!	PUNCT
brj-24472	177	1	|n!|	|n!|	PROPN
brj-24472	177	2	(	(	PUNCT
brj-24472	177	3	v(s	v(s	X
brj-24472	177	4	∪	∪	X
brj-24472	177	5	{	{	PUNCT
brj-24472	177	6	i	i	NOUN
brj-24472	177	7	}	}	PUNCT
brj-24472	177	8	)	)	PUNCT
brj-24472	177	9	−	−	PROPN
brj-24472	177	10	v(s))s∈n	v(s))s∈n	NOUN
brj-24472	177	11	(	(	PUNCT
brj-24472	177	12	11	11	NUM
brj-24472	177	13	)	)	PUNCT
brj-24472	177	14	when	when	SCONJ
brj-24472	177	15	applying	apply	VERB
brj-24472	177	16	the	the	DET
brj-24472	177	17	shap	shap	NOUN
brj-24472	177	18	framework	framework	NOUN
brj-24472	177	19	,	,	PUNCT
brj-24472	177	20	the	the	DET
brj-24472	177	21	first	first	ADJ
brj-24472	177	22	step	step	NOUN
brj-24472	177	23	is	be	AUX
brj-24472	177	24	to	to	PART
brj-24472	177	25	train	train	VERB
brj-24472	177	26	a	a	DET
brj-24472	177	27	machine	machine	NOUN
brj-24472	177	28	learning	learn	VERB
brj-24472	177	29	model	model	NOUN
brj-24472	177	30	to	to	PART
brj-24472	177	31	predict	predict	VERB
brj-24472	177	32	user	user	NOUN
brj-24472	177	33	sentiment	sentiment	NOUN
brj-24472	177	34	in	in	ADP
brj-24472	177	35	furniture	furniture	NOUN
brj-24472	177	36	design	design	NOUN
brj-24472	177	37	.	.	PUNCT
brj-24472	178	1	then	then	ADV
brj-24472	178	2	,	,	PUNCT
brj-24472	178	3	shap	shap	PROPN
brj-24472	178	4	is	be	AUX
brj-24472	178	5	used	use	VERB
brj-24472	178	6	to	to	PART
brj-24472	178	7	analyze	analyze	VERB
brj-24472	178	8	the	the	DET
brj-24472	178	9	impact	impact	NOUN
brj-24472	178	10	of	of	ADP
brj-24472	178	11	each	each	DET
brj-24472	178	12	design	design	NOUN
brj-24472	178	13	feature	feature	NOUN
brj-24472	178	14	on	on	ADP
brj-24472	178	15	the	the	DET
brj-24472	178	16	user	user	NOUN
brj-24472	178	17	sentiment	sentiment	NOUN
brj-24472	178	18	outcome	outcome	NOUN
brj-24472	178	19	.	.	PUNCT
brj-24472	179	1	by	by	ADP
brj-24472	179	2	examining	examine	VERB
brj-24472	179	3	the	the	DET
brj-24472	179	4	marginal	marginal	ADJ
brj-24472	179	5	contribution	contribution	NOUN
brj-24472	179	6	of	of	ADP
brj-24472	179	7	each	each	DET
brj-24472	179	8	feature	feature	NOUN
brj-24472	179	9	to	to	ADP
brj-24472	179	10	the	the	DET
brj-24472	179	11	prediction	prediction	NOUN
brj-24472	179	12	,	,	PUNCT
brj-24472	179	13	we	we	PRON
brj-24472	179	14	can	can	AUX
brj-24472	179	15	identify	identify	VERB
brj-24472	179	16	which	which	DET
brj-24472	179	17	features	feature	NOUN
brj-24472	179	18	play	play	VERB
brj-24472	179	19	a	a	DET
brj-24472	179	20	key	key	ADJ
brj-24472	179	21	role	role	NOUN
brj-24472	179	22	in	in	ADP
brj-24472	179	23	predicting	predict	VERB
brj-24472	179	24	user	user	NOUN
brj-24472	179	25	sentiment	sentiment	NOUN
brj-24472	179	26	in	in	ADP
brj-24472	179	27	the	the	DET
brj-24472	179	28	design	design	NOUN
brj-24472	179	29	task	task	NOUN
brj-24472	179	30	.	.	PUNCT
brj-24472	180	1	specifically	specifically	ADV
brj-24472	180	2	,	,	PUNCT
brj-24472	180	3	shap	shap	PROPN
brj-24472	180	4	represents	represent	VERB
brj-24472	180	5	the	the	DET
brj-24472	180	6	model	model	NOUN
brj-24472	180	7	's	's	PART
brj-24472	180	8	prediction	prediction	NOUN
brj-24472	180	9	f(x	f(x	PROPN
brj-24472	180	10	)	)	PUNCT
brj-24472	180	11	as	as	ADP
brj-24472	180	12	the	the	DET
brj-24472	180	13	sum	sum	NOUN
brj-24472	180	14	of	of	ADP
brj-24472	180	15	contributions	contribution	NOUN
brj-24472	180	16	from	from	ADP
brj-24472	180	17	each	each	DET
brj-24472	180	18	feature	feature	NOUN
brj-24472	180	19	,	,	PUNCT
brj-24472	180	20	as	as	SCONJ
brj-24472	180	21	shown	show	VERB
brj-24472	180	22	in	in	ADP
brj-24472	180	23	formula	formula	NOUN
brj-24472	180	24	(	(	PUNCT
brj-24472	180	25	12	12	NUM
brj-24472	180	26	)	)	PUNCT
brj-24472	180	27	.	.	PUNCT
brj-24472	181	1	f(x	f(x	NOUN
brj-24472	181	2	)	)	PUNCT
brj-24472	182	1	=	=	SYM
brj-24472	182	2	∅0	∅0	NOUN
brj-24472	182	3	+	+	CCONJ
brj-24472	182	4	∑	∑	PROPN
brj-24472	182	5	∅i	∅i	VERB
brj-24472	182	6	m	m	VERB
brj-24472	182	7	i=1	i=1	PROPN
brj-24472	182	8	(	(	PUNCT
brj-24472	182	9	12	12	NUM
brj-24472	182	10	)	)	PUNCT
brj-24472	182	11	peer	peer	NOUN
brj-24472	182	12	-	-	PUNCT
brj-24472	182	13	reviewed	review	VERB
brj-24472	182	14	article	article	NOUN
brj-24472	182	15	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	182	16	huang	huang	PROPN
brj-24472	182	17	et	et	PROPN
brj-24472	182	18	al	al	PROPN
brj-24472	182	19	.	.	PROPN
brj-24472	183	1	(	(	PUNCT
brj-24472	183	2	2025	2025	NUM
brj-24472	183	3	)	)	PUNCT
brj-24472	183	4	.	.	PUNCT
brj-24472	184	1	“	"	PUNCT
brj-24472	184	2	bamboo	bamboo	NOUN
brj-24472	184	3	furniture	furniture	NOUN
brj-24472	184	4	design	design	NOUN
brj-24472	184	5	,	,	PUNCT
brj-24472	184	6	”	"	PUNCT
brj-24472	184	7	bioresources	bioresource	NOUN
brj-24472	184	8	20(3	20(3	NOUN
brj-24472	184	9	)	)	PUNCT
brj-24472	184	10	,	,	PUNCT
brj-24472	184	11	7107	7107	NUM
brj-24472	184	12	-	-	SYM
brj-24472	184	13	7133	7133	NUM
brj-24472	184	14	.	.	PUNCT
brj-24472	185	1	7115	7115	NUM
brj-24472	185	2	research	research	NOUN
brj-24472	185	3	process	process	NOUN
brj-24472	185	4	and	and	CCONJ
brj-24472	185	5	results	result	VERB
brj-24472	185	6	the	the	DET
brj-24472	185	7	bamboo	bamboo	NOUN
brj-24472	185	8	chair	chair	NOUN
brj-24472	185	9	in	in	ADP
brj-24472	185	10	the	the	DET
brj-24472	185	11	bamboo	bamboo	NOUN
brj-24472	185	12	furniture	furniture	NOUN
brj-24472	185	13	is	be	AUX
brj-24472	185	14	taken	take	VERB
brj-24472	185	15	as	as	ADP
brj-24472	185	16	the	the	DET
brj-24472	185	17	research	research	NOUN
brj-24472	185	18	object	object	NOUN
brj-24472	185	19	in	in	ADP
brj-24472	185	20	this	this	DET
brj-24472	185	21	study	study	NOUN
brj-24472	185	22	;	;	PUNCT
brj-24472	185	23	and	and	CCONJ
brj-24472	185	24	the	the	DET
brj-24472	185	25	feasibility	feasibility	NOUN
brj-24472	185	26	of	of	ADP
brj-24472	185	27	the	the	DET
brj-24472	185	28	proposed	propose	VERB
brj-24472	185	29	research	research	NOUN
brj-24472	185	30	framework	framework	NOUN
brj-24472	185	31	is	be	AUX
brj-24472	185	32	verified	verify	VERB
brj-24472	185	33	.	.	PUNCT
brj-24472	186	1	as	as	ADP
brj-24472	186	2	a	a	DET
brj-24472	186	3	unique	unique	ADJ
brj-24472	186	4	form	form	NOUN
brj-24472	186	5	of	of	ADP
brj-24472	186	6	furniture	furniture	NOUN
brj-24472	186	7	,	,	PUNCT
brj-24472	186	8	the	the	DET
brj-24472	186	9	bamboo	bamboo	NOUN
brj-24472	186	10	chair	chair	NOUN
brj-24472	186	11	not	not	PART
brj-24472	186	12	only	only	ADV
brj-24472	186	13	reflects	reflect	VERB
brj-24472	186	14	the	the	DET
brj-24472	186	15	excellent	excellent	ADJ
brj-24472	186	16	characteristics	characteristic	NOUN
brj-24472	186	17	of	of	ADP
brj-24472	186	18	bamboo	bamboo	NOUN
brj-24472	186	19	,	,	PUNCT
brj-24472	186	20	such	such	ADJ
brj-24472	186	21	as	as	ADP
brj-24472	186	22	light	light	ADJ
brj-24472	186	23	weight	weight	NOUN
brj-24472	186	24	,	,	PUNCT
brj-24472	186	25	strong	strong	ADJ
brj-24472	186	26	,	,	PUNCT
brj-24472	186	27	and	and	CCONJ
brj-24472	186	28	environmentally	environmentally	ADV
brj-24472	186	29	friendly	friendly	ADJ
brj-24472	186	30	,	,	PUNCT
brj-24472	186	31	but	but	CCONJ
brj-24472	186	32	also	also	ADV
brj-24472	186	33	integrates	integrate	VERB
brj-24472	186	34	traditional	traditional	ADJ
brj-24472	186	35	crafts	craft	NOUN
brj-24472	186	36	and	and	CCONJ
brj-24472	186	37	modern	modern	ADJ
brj-24472	186	38	design	design	NOUN
brj-24472	186	39	concepts	concept	NOUN
brj-24472	186	40	,	,	PUNCT
brj-24472	186	41	which	which	PRON
brj-24472	186	42	has	have	AUX
brj-24472	186	43	become	become	VERB
brj-24472	186	44	a	a	DET
brj-24472	186	45	popular	popular	ADJ
brj-24472	186	46	choice	choice	NOUN
brj-24472	186	47	in	in	ADP
brj-24472	186	48	the	the	DET
brj-24472	186	49	contemporary	contemporary	PROPN
brj-24472	186	50	home	home	PROPN
brj-24472	186	51	environment	environment	NOUN
brj-24472	186	52	.	.	PUNCT
brj-24472	187	1	with	with	ADP
brj-24472	187	2	the	the	DET
brj-24472	187	3	increasing	increase	VERB
brj-24472	187	4	attention	attention	NOUN
brj-24472	187	5	to	to	ADP
brj-24472	187	6	sustainable	sustainable	ADJ
brj-24472	187	7	lifestyle	lifestyle	NOUN
brj-24472	187	8	,	,	PUNCT
brj-24472	187	9	the	the	DET
brj-24472	187	10	market	market	NOUN
brj-24472	187	11	demand	demand	NOUN
brj-24472	187	12	for	for	ADP
brj-24472	187	13	bamboo	bamboo	NOUN
brj-24472	187	14	chairs	chair	NOUN
brj-24472	187	15	has	have	AUX
brj-24472	187	16	also	also	ADV
brj-24472	187	17	risen	rise	VERB
brj-24472	187	18	,	,	PUNCT
brj-24472	187	19	especially	especially	ADV
brj-24472	187	20	in	in	ADP
brj-24472	187	21	the	the	DET
brj-24472	187	22	pursuit	pursuit	NOUN
brj-24472	187	23	of	of	ADP
brj-24472	187	24	nature	nature	NOUN
brj-24472	187	25	and	and	CCONJ
brj-24472	187	26	environmental	environmental	ADJ
brj-24472	187	27	protection	protection	NOUN
brj-24472	187	28	under	under	ADP
brj-24472	187	29	the	the	DET
brj-24472	187	30	consumption	consumption	NOUN
brj-24472	187	31	trend	trend	NOUN
brj-24472	187	32	.	.	PUNCT
brj-24472	188	1	the	the	DET
brj-24472	188	2	bamboo	bamboo	NOUN
brj-24472	188	3	chair	chair	NOUN
brj-24472	188	4	shows	show	VERB
brj-24472	188	5	broad	broad	ADJ
brj-24472	188	6	prospects	prospect	NOUN
brj-24472	188	7	for	for	ADP
brj-24472	188	8	development	development	NOUN
brj-24472	188	9	.	.	PUNCT
brj-24472	189	1	in	in	ADP
brj-24472	189	2	china	china	PROPN
brj-24472	189	3	,	,	PUNCT
brj-24472	189	4	as	as	ADP
brj-24472	189	5	a	a	DET
brj-24472	189	6	country	country	NOUN
brj-24472	189	7	with	with	ADP
brj-24472	189	8	a	a	DET
brj-24472	189	9	long	long	ADJ
brj-24472	189	10	history	history	NOUN
brj-24472	189	11	of	of	ADP
brj-24472	189	12	bamboo	bamboo	NOUN
brj-24472	189	13	culture	culture	NOUN
brj-24472	189	14	and	and	CCONJ
brj-24472	189	15	rich	rich	ADJ
brj-24472	189	16	furniture	furniture	NOUN
brj-24472	189	17	tradition	tradition	NOUN
brj-24472	189	18	,	,	PUNCT
brj-24472	189	19	consumers	consumer	NOUN
brj-24472	189	20	pay	pay	VERB
brj-24472	189	21	attention	attention	NOUN
brj-24472	189	22	to	to	ADP
brj-24472	189	23	its	its	PRON
brj-24472	189	24	practicality	practicality	NOUN
brj-24472	189	25	and	and	CCONJ
brj-24472	189	26	comfort	comfort	NOUN
brj-24472	189	27	and	and	CCONJ
brj-24472	189	28	to	to	ADP
brj-24472	189	29	its	its	PRON
brj-24472	189	30	cultural	cultural	ADJ
brj-24472	189	31	connotation	connotation	NOUN
brj-24472	189	32	and	and	CCONJ
brj-24472	189	33	artistic	artistic	ADJ
brj-24472	189	34	value	value	NOUN
brj-24472	189	35	.	.	PUNCT
brj-24472	190	1	in	in	ADP
brj-24472	190	2	the	the	DET
brj-24472	190	3	product	product	NOUN
brj-24472	190	4	development	development	NOUN
brj-24472	190	5	process	process	NOUN
brj-24472	190	6	,	,	PUNCT
brj-24472	190	7	the	the	DET
brj-24472	190	8	cultural	cultural	ADJ
brj-24472	190	9	background	background	NOUN
brj-24472	190	10	of	of	ADP
brj-24472	190	11	consumers	consumer	NOUN
brj-24472	190	12	has	have	VERB
brj-24472	190	13	a	a	DET
brj-24472	190	14	profound	profound	ADJ
brj-24472	190	15	impact	impact	NOUN
brj-24472	190	16	on	on	ADP
brj-24472	190	17	their	their	PRON
brj-24472	190	18	needs	need	NOUN
brj-24472	190	19	and	and	CCONJ
brj-24472	190	20	preferences	preference	NOUN
brj-24472	190	21	.	.	PUNCT
brj-24472	191	1	therefore	therefore	ADV
brj-24472	191	2	,	,	PUNCT
brj-24472	191	3	this	this	DET
brj-24472	191	4	study	study	NOUN
brj-24472	191	5	focuses	focus	VERB
brj-24472	191	6	on	on	ADP
brj-24472	191	7	the	the	DET
brj-24472	191	8	analysis	analysis	NOUN
brj-24472	191	9	of	of	ADP
brj-24472	191	10	chinese	chinese	ADJ
brj-24472	191	11	consumers	consumer	NOUN
brj-24472	191	12	’	'	PUNCT
brj-24472	191	13	cognition	cognition	NOUN
brj-24472	191	14	and	and	CCONJ
brj-24472	191	15	preference	preference	NOUN
brj-24472	191	16	for	for	ADP
brj-24472	191	17	bamboo	bamboo	NOUN
brj-24472	191	18	chairs	chair	NOUN
brj-24472	191	19	so	so	SCONJ
brj-24472	191	20	as	as	SCONJ
brj-24472	191	21	to	to	PART
brj-24472	191	22	provide	provide	VERB
brj-24472	191	23	more	more	ADV
brj-24472	191	24	targeted	target	VERB
brj-24472	191	25	suggestions	suggestion	NOUN
brj-24472	191	26	and	and	CCONJ
brj-24472	191	27	guidance	guidance	NOUN
brj-24472	191	28	for	for	ADP
brj-24472	191	29	the	the	DET
brj-24472	191	30	development	development	NOUN
brj-24472	191	31	of	of	ADP
brj-24472	191	32	bamboo	bamboo	NOUN
brj-24472	191	33	furniture	furniture	NOUN
brj-24472	191	34	.	.	PUNCT
brj-24472	192	1	consumers	consumer	NOUN
brj-24472	192	2	in	in	ADP
brj-24472	192	3	different	different	ADJ
brj-24472	192	4	regions	region	NOUN
brj-24472	192	5	and	and	CCONJ
brj-24472	192	6	different	different	ADJ
brj-24472	192	7	cultural	cultural	ADJ
brj-24472	192	8	backgrounds	background	NOUN
brj-24472	192	9	have	have	VERB
brj-24472	192	10	significant	significant	ADJ
brj-24472	192	11	differences	difference	NOUN
brj-24472	192	12	in	in	ADP
brj-24472	192	13	the	the	DET
brj-24472	192	14	function	function	NOUN
brj-24472	192	15	,	,	PUNCT
brj-24472	192	16	aesthetics	aesthetic	NOUN
brj-24472	192	17	,	,	PUNCT
brj-24472	192	18	and	and	CCONJ
brj-24472	192	19	usage	usage	NOUN
brj-24472	192	20	habits	habit	NOUN
brj-24472	192	21	of	of	ADP
brj-24472	192	22	furniture	furniture	NOUN
brj-24472	192	23	.	.	PUNCT
brj-24472	193	1	therefore	therefore	ADV
brj-24472	193	2	,	,	PUNCT
brj-24472	193	3	when	when	SCONJ
brj-24472	193	4	new	new	ADJ
brj-24472	193	5	product	product	NOUN
brj-24472	193	6	development	development	NOUN
brj-24472	193	7	is	be	AUX
brj-24472	193	8	conducted	conduct	VERB
brj-24472	193	9	,	,	PUNCT
brj-24472	193	10	it	it	PRON
brj-24472	193	11	is	be	AUX
brj-24472	193	12	necessary	necessary	ADJ
brj-24472	193	13	to	to	PART
brj-24472	193	14	reinvestigate	reinvestigate	VERB
brj-24472	193	15	the	the	DET
brj-24472	193	16	needs	need	NOUN
brj-24472	193	17	of	of	ADP
brj-24472	193	18	local	local	ADJ
brj-24472	193	19	consumers	consumer	NOUN
brj-24472	193	20	to	to	PART
brj-24472	193	21	ensure	ensure	VERB
brj-24472	193	22	that	that	SCONJ
brj-24472	193	23	the	the	DET
brj-24472	193	24	product	product	NOUN
brj-24472	193	25	can	can	AUX
brj-24472	193	26	truly	truly	ADV
brj-24472	193	27	meet	meet	VERB
brj-24472	193	28	the	the	DET
brj-24472	193	29	expectations	expectation	NOUN
brj-24472	193	30	of	of	ADP
brj-24472	193	31	the	the	DET
brj-24472	193	32	target	target	NOUN
brj-24472	193	33	market	market	NOUN
brj-24472	193	34	.	.	PUNCT
brj-24472	194	1	preliminary	preliminary	ADJ
brj-24472	194	2	preparation	preparation	NOUN
brj-24472	194	3	for	for	ADP
brj-24472	194	4	perception	perception	NOUN
brj-24472	194	5	experiment	experiment	NOUN
brj-24472	194	6	collect	collect	NOUN
brj-24472	194	7	and	and	CCONJ
brj-24472	194	8	cluster	cluster	NOUN
brj-24472	194	9	kansei	kansei	VERB
brj-24472	194	10	words	word	NOUN
brj-24472	194	11	through	through	ADP
brj-24472	194	12	kj	kj	PROPN
brj-24472	194	13	and	and	CCONJ
brj-24472	194	14	pad	pad	NOUN
brj-24472	194	15	model	model	NOUN
brj-24472	194	16	in	in	ADP
brj-24472	194	17	this	this	DET
brj-24472	194	18	study	study	NOUN
brj-24472	194	19	,	,	PUNCT
brj-24472	194	20	through	through	ADP
brj-24472	194	21	relevant	relevant	ADJ
brj-24472	194	22	literature	literature	NOUN
brj-24472	194	23	,	,	PUNCT
brj-24472	194	24	websites	website	NOUN
brj-24472	194	25	and	and	CCONJ
brj-24472	194	26	books	book	NOUN
brj-24472	194	27	,	,	PUNCT
brj-24472	194	28	24	24	NUM
brj-24472	194	29	kansei	kansei	VERB
brj-24472	194	30	words	word	NOUN
brj-24472	194	31	about	about	ADP
brj-24472	194	32	the	the	DET
brj-24472	194	33	bamboo	bamboo	NOUN
brj-24472	194	34	chair	chair	NOUN
brj-24472	194	35	are	be	AUX
brj-24472	194	36	initially	initially	ADV
brj-24472	194	37	collected	collect	VERB
brj-24472	194	38	.	.	PUNCT
brj-24472	195	1	these	these	DET
brj-24472	195	2	words	word	NOUN
brj-24472	195	3	are	be	AUX
brj-24472	195	4	designed	design	VERB
brj-24472	195	5	to	to	PART
brj-24472	195	6	capture	capture	VERB
brj-24472	195	7	consumers	consumer	NOUN
brj-24472	195	8	’	'	PUNCT
brj-24472	195	9	emotional	emotional	ADJ
brj-24472	195	10	and	and	CCONJ
brj-24472	195	11	cognitive	cognitive	ADJ
brj-24472	195	12	responses	response	NOUN
brj-24472	195	13	to	to	PART
brj-24472	195	14	bamboo	bamboo	VERB
brj-24472	195	15	chairs	chair	NOUN
brj-24472	195	16	.	.	PUNCT
brj-24472	196	1	however	however	ADV
brj-24472	196	2	,	,	PUNCT
brj-24472	196	3	too	too	ADV
brj-24472	196	4	many	many	ADJ
brj-24472	196	5	kansei	kansei	ADJ
brj-24472	196	6	words	word	NOUN
brj-24472	196	7	may	may	AUX
brj-24472	196	8	increase	increase	VERB
brj-24472	196	9	the	the	DET
brj-24472	196	10	cognitive	cognitive	ADJ
brj-24472	196	11	load	load	NOUN
brj-24472	196	12	of	of	ADP
brj-24472	196	13	the	the	DET
brj-24472	196	14	participants	participant	NOUN
brj-24472	196	15	,	,	PUNCT
brj-24472	196	16	thus	thus	ADV
brj-24472	196	17	the	the	DET
brj-24472	196	18	quality	quality	NOUN
brj-24472	196	19	of	of	ADP
brj-24472	196	20	the	the	DET
brj-24472	196	21	questionnaire	questionnaire	NOUN
brj-24472	196	22	data	datum	NOUN
brj-24472	196	23	will	will	AUX
brj-24472	196	24	be	be	AUX
brj-24472	196	25	reduced	reduce	VERB
brj-24472	196	26	.	.	PUNCT
brj-24472	197	1	in	in	ADP
brj-24472	197	2	order	order	NOUN
brj-24472	197	3	to	to	PART
brj-24472	197	4	solve	solve	VERB
brj-24472	197	5	this	this	DET
brj-24472	197	6	problem	problem	NOUN
brj-24472	197	7	,	,	PUNCT
brj-24472	197	8	a	a	DET
brj-24472	197	9	group	group	NOUN
brj-24472	197	10	of	of	ADP
brj-24472	197	11	five	five	NUM
brj-24472	197	12	furniture	furniture	NOUN
brj-24472	197	13	design	design	NOUN
brj-24472	197	14	experts	expert	NOUN
brj-24472	197	15	and	and	CCONJ
brj-24472	197	16	five	five	NUM
brj-24472	197	17	design	design	NOUN
brj-24472	197	18	graduate	graduate	NOUN
brj-24472	197	19	students	student	NOUN
brj-24472	197	20	were	be	AUX
brj-24472	197	21	formed	form	VERB
brj-24472	197	22	.	.	PUNCT
brj-24472	198	1	kj	kj	PROPN
brj-24472	198	2	is	be	AUX
brj-24472	198	3	an	an	DET
brj-24472	198	4	effective	effective	ADJ
brj-24472	198	5	information	information	NOUN
brj-24472	198	6	organizing	organize	VERB
brj-24472	198	7	tool	tool	NOUN
brj-24472	198	8	.	.	PUNCT
brj-24472	199	1	by	by	ADP
brj-24472	199	2	grouping	group	VERB
brj-24472	199	3	and	and	CCONJ
brj-24472	199	4	categorizing	categorize	VERB
brj-24472	199	5	related	related	ADJ
brj-24472	199	6	words	word	NOUN
brj-24472	199	7	,	,	PUNCT
brj-24472	199	8	the	the	DET
brj-24472	199	9	expert	expert	NOUN
brj-24472	199	10	group	group	NOUN
brj-24472	199	11	can	can	AUX
brj-24472	199	12	identify	identify	VERB
brj-24472	199	13	the	the	DET
brj-24472	199	14	most	most	ADV
brj-24472	199	15	representative	representative	ADJ
brj-24472	199	16	and	and	CCONJ
brj-24472	199	17	influential	influential	ADJ
brj-24472	199	18	kansei	kansei	ADJ
brj-24472	199	19	words	word	NOUN
brj-24472	199	20	,	,	PUNCT
brj-24472	199	21	thus	thus	ADV
brj-24472	199	22	simplifying	simplify	VERB
brj-24472	199	23	the	the	DET
brj-24472	199	24	follow	follow	VERB
brj-24472	199	25	-	-	PUNCT
brj-24472	199	26	up	up	ADP
brj-24472	199	27	questionnaire	questionnaire	NOUN
brj-24472	199	28	design	design	NOUN
brj-24472	199	29	.	.	PUNCT
brj-24472	200	1	in	in	ADP
brj-24472	200	2	this	this	DET
brj-24472	200	3	study	study	NOUN
brj-24472	200	4	,	,	PUNCT
brj-24472	200	5	kj	kj	PROPN
brj-24472	200	6	method	method	NOUN
brj-24472	200	7	was	be	AUX
brj-24472	200	8	used	use	VERB
brj-24472	200	9	to	to	PART
brj-24472	200	10	reorganize	reorganize	VERB
brj-24472	200	11	and	and	CCONJ
brj-24472	200	12	classify	classify	VERB
brj-24472	200	13	the	the	DET
brj-24472	200	14	collected	collect	VERB
brj-24472	200	15	kansei	kansei	ADJ
brj-24472	200	16	words	word	NOUN
brj-24472	200	17	,	,	PUNCT
brj-24472	200	18	and	and	CCONJ
brj-24472	200	19	cluster	cluster	VERB
brj-24472	200	20	the	the	DET
brj-24472	200	21	kansei	kansei	ADJ
brj-24472	200	22	words	word	NOUN
brj-24472	200	23	according	accord	VERB
brj-24472	200	24	to	to	ADP
brj-24472	200	25	the	the	DET
brj-24472	200	26	principle	principle	NOUN
brj-24472	200	27	of	of	ADP
brj-24472	200	28	similarity	similarity	NOUN
brj-24472	200	29	(	(	PUNCT
brj-24472	200	30	fig	fig	NOUN
brj-24472	200	31	.	.	PUNCT
brj-24472	201	1	3	3	NUM
brj-24472	201	2	)	)	PUNCT
brj-24472	201	3	.	.	PUNCT
brj-24472	202	1	eight	eight	NUM
brj-24472	202	2	representative	representative	ADJ
brj-24472	202	3	kansei	kansei	ADJ
brj-24472	202	4	words	word	NOUN
brj-24472	202	5	were	be	AUX
brj-24472	202	6	obtained	obtain	VERB
brj-24472	202	7	:	:	PUNCT
brj-24472	202	8	simple	simple	ADJ
brj-24472	202	9	,	,	PUNCT
brj-24472	202	10	creative	creative	ADJ
brj-24472	202	11	,	,	PUNCT
brj-24472	202	12	soft	soft	ADJ
brj-24472	202	13	,	,	PUNCT
brj-24472	202	14	flexible	flexible	ADJ
brj-24472	202	15	,	,	PUNCT
brj-24472	202	16	tough	tough	ADJ
brj-24472	202	17	,	,	PUNCT
brj-24472	202	18	elegant	elegant	ADJ
brj-24472	202	19	,	,	PUNCT
brj-24472	202	20	traditional	traditional	ADJ
brj-24472	202	21	,	,	PUNCT
brj-24472	202	22	and	and	CCONJ
brj-24472	202	23	ancient	ancient	ADJ
brj-24472	202	24	.	.	PUNCT
brj-24472	203	1	fig	fig	NOUN
brj-24472	203	2	.	.	PUNCT
brj-24472	204	1	3	3	X
brj-24472	204	2	.	.	X
brj-24472	204	3	bamboo	bamboo	NOUN
brj-24472	204	4	chair	chair	PROPN
brj-24472	204	5	representative	representative	PROPN
brj-24472	204	6	kansei	kansei	VERB
brj-24472	204	7	word	word	NOUN
brj-24472	204	8	peer	peer	NOUN
brj-24472	204	9	-	-	PUNCT
brj-24472	204	10	reviewed	review	VERB
brj-24472	204	11	article	article	NOUN
brj-24472	204	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	204	13	huang	huang	PROPN
brj-24472	204	14	et	et	PROPN
brj-24472	204	15	al	al	PROPN
brj-24472	204	16	.	.	PROPN
brj-24472	204	17	(	(	PUNCT
brj-24472	204	18	2025	2025	NUM
brj-24472	204	19	)	)	PUNCT
brj-24472	204	20	.	.	PUNCT
brj-24472	205	1	“	"	PUNCT
brj-24472	205	2	bamboo	bamboo	NOUN
brj-24472	205	3	furniture	furniture	NOUN
brj-24472	205	4	design	design	NOUN
brj-24472	205	5	,	,	PUNCT
brj-24472	205	6	”	"	PUNCT
brj-24472	205	7	bioresources	bioresource	NOUN
brj-24472	205	8	20(3	20(3	NOUN
brj-24472	205	9	)	)	PUNCT
brj-24472	205	10	,	,	PUNCT
brj-24472	205	11	7107	7107	NUM
brj-24472	205	12	-	-	SYM
brj-24472	205	13	7133	7133	NUM
brj-24472	205	14	.	.	PUNCT
brj-24472	206	1	7116	7116	NUM
brj-24472	206	2	to	to	PART
brj-24472	206	3	enhance	enhance	VERB
brj-24472	206	4	the	the	DET
brj-24472	206	5	objectivity	objectivity	NOUN
brj-24472	206	6	of	of	ADP
brj-24472	206	7	clustering	clustering	ADJ
brj-24472	206	8	results	result	NOUN
brj-24472	206	9	,	,	PUNCT
brj-24472	206	10	this	this	DET
brj-24472	206	11	study	study	NOUN
brj-24472	206	12	introduces	introduce	VERB
brj-24472	206	13	the	the	DET
brj-24472	206	14	pleasurearousal	pleasurearousal	NOUN
brj-24472	206	15	-	-	PUNCT
brj-24472	206	16	dominance	dominance	NOUN
brj-24472	206	17	(	(	PUNCT
brj-24472	206	18	pad	pad	NOUN
brj-24472	206	19	)	)	PUNCT
brj-24472	206	20	emotional	emotional	ADJ
brj-24472	206	21	model	model	NOUN
brj-24472	206	22	to	to	PART
brj-24472	206	23	quantitatively	quantitatively	ADV
brj-24472	206	24	calibrate	calibrate	VERB
brj-24472	206	25	the	the	DET
brj-24472	206	26	perceptual	perceptual	ADJ
brj-24472	206	27	dimensions	dimension	NOUN
brj-24472	206	28	derived	derive	VERB
brj-24472	206	29	from	from	ADP
brj-24472	206	30	the	the	DET
brj-24472	206	31	kj	kj	PROPN
brj-24472	206	32	method	method	NOUN
brj-24472	206	33	.	.	PUNCT
brj-24472	207	1	by	by	ADP
brj-24472	207	2	mapping	map	VERB
brj-24472	207	3	each	each	DET
brj-24472	207	4	perceptual	perceptual	ADJ
brj-24472	207	5	dimension	dimension	NOUN
brj-24472	207	6	onto	onto	ADP
brj-24472	207	7	a	a	DET
brj-24472	207	8	three	three	NUM
brj-24472	207	9	-	-	PUNCT
brj-24472	207	10	dimensional	dimensional	ADJ
brj-24472	207	11	emotional	emotional	ADJ
brj-24472	207	12	space	space	NOUN
brj-24472	207	13	(	(	PUNCT
brj-24472	207	14	pleasure	pleasure	NOUN
brj-24472	207	15	,	,	PUNCT
brj-24472	207	16	arousal	arousal	NOUN
brj-24472	207	17	,	,	PUNCT
brj-24472	207	18	dominance	dominance	NOUN
brj-24472	207	19	)	)	PUNCT
brj-24472	207	20	,	,	PUNCT
brj-24472	207	21	the	the	DET
brj-24472	207	22	emotional	emotional	ADJ
brj-24472	207	23	response	response	NOUN
brj-24472	207	24	mechanisms	mechanism	NOUN
brj-24472	207	25	of	of	ADP
brj-24472	207	26	users	user	NOUN
brj-24472	207	27	toward	toward	ADP
brj-24472	207	28	design	design	NOUN
brj-24472	207	29	features	feature	NOUN
brj-24472	207	30	can	can	AUX
brj-24472	207	31	be	be	AUX
brj-24472	207	32	systematically	systematically	ADV
brj-24472	207	33	interpreted	interpret	VERB
brj-24472	207	34	.	.	PUNCT
brj-24472	208	1	the	the	DET
brj-24472	208	2	pad	pad	NOUN
brj-24472	208	3	ratings	rating	NOUN
brj-24472	208	4	in	in	ADP
brj-24472	208	5	this	this	DET
brj-24472	208	6	study	study	NOUN
brj-24472	208	7	were	be	AUX
brj-24472	208	8	determined	determine	VERB
brj-24472	208	9	through	through	ADP
brj-24472	208	10	expert	expert	NOUN
brj-24472	208	11	panel	panel	NOUN
brj-24472	208	12	evaluations	evaluation	NOUN
brj-24472	208	13	.	.	PUNCT
brj-24472	209	1	the	the	DET
brj-24472	209	2	panel	panel	NOUN
brj-24472	209	3	assessed	assess	VERB
brj-24472	209	4	the	the	DET
brj-24472	209	5	emotional	emotional	ADJ
brj-24472	209	6	intensity	intensity	NOUN
brj-24472	209	7	of	of	ADP
brj-24472	209	8	sub	sub	ADJ
brj-24472	209	9	-	-	ADJ
brj-24472	209	10	vocabulary	vocabulary	ADJ
brj-24472	209	11	items	item	NOUN
brj-24472	209	12	on	on	ADP
brj-24472	209	13	a	a	DET
brj-24472	209	14	1	1	NUM
brj-24472	209	15	-	-	SYM
brj-24472	209	16	9	9	NUM
brj-24472	209	17	scale	scale	NOUN
brj-24472	209	18	,	,	PUNCT
brj-24472	209	19	with	with	ADP
brj-24472	209	20	consistency	consistency	NOUN
brj-24472	209	21	ensured	ensure	VERB
brj-24472	209	22	via	via	ADP
brj-24472	209	23	kendall	kendall	PROPN
brj-24472	209	24	’s	’s	PART
brj-24472	209	25	coefficient	coefficient	NOUN
brj-24472	209	26	of	of	ADP
brj-24472	209	27	concordance	concordance	NOUN
brj-24472	209	28	(	(	PUNCT
brj-24472	209	29	w=0.82	w=0.82	NOUN
brj-24472	209	30	)	)	PUNCT
brj-24472	209	31	.	.	PUNCT
brj-24472	210	1	additionally	additionally	ADV
brj-24472	210	2	,	,	PUNCT
brj-24472	210	3	culturally	culturally	ADV
brj-24472	210	4	sensitive	sensitive	ADJ
brj-24472	210	5	terms	term	NOUN
brj-24472	210	6	were	be	AUX
brj-24472	210	7	adjusted	adjust	VERB
brj-24472	210	8	with	with	ADP
brj-24472	210	9	reference	reference	NOUN
brj-24472	210	10	to	to	PART
brj-24472	210	11	mehrabian	mehrabian	VERB
brj-24472	210	12	’s	’s	PART
brj-24472	210	13	standardized	standardized	ADJ
brj-24472	210	14	pad	pad	NOUN
brj-24472	210	15	vocabulary	vocabulary	ADJ
brj-24472	210	16	database	database	NOUN
brj-24472	210	17	.	.	PUNCT
brj-24472	211	1	table	table	NOUN
brj-24472	211	2	1	1	NUM
brj-24472	211	3	presents	present	VERB
brj-24472	211	4	the	the	DET
brj-24472	211	5	pad	pad	NOUN
brj-24472	211	6	scores	score	NOUN
brj-24472	211	7	and	and	CCONJ
brj-24472	211	8	explanatory	explanatory	ADJ
brj-24472	211	9	logic	logic	NOUN
brj-24472	211	10	for	for	ADP
brj-24472	211	11	each	each	DET
brj-24472	211	12	dimension	dimension	NOUN
brj-24472	211	13	and	and	CCONJ
brj-24472	211	14	its	its	PRON
brj-24472	211	15	subvocabulary	subvocabulary	NOUN
brj-24472	211	16	.	.	PUNCT
brj-24472	212	1	quantitative	quantitative	ADJ
brj-24472	212	2	validation	validation	NOUN
brj-24472	212	3	of	of	ADP
brj-24472	212	4	the	the	DET
brj-24472	212	5	clustering	clustering	ADJ
brj-24472	212	6	results	result	NOUN
brj-24472	212	7	using	use	VERB
brj-24472	212	8	the	the	DET
brj-24472	212	9	pad	pad	NOUN
brj-24472	212	10	model	model	NOUN
brj-24472	212	11	revealed	reveal	VERB
brj-24472	212	12	significant	significant	ADJ
brj-24472	212	13	emotional	emotional	ADJ
brj-24472	212	14	consistency	consistency	NOUN
brj-24472	212	15	within	within	ADP
brj-24472	212	16	dimensions	dimension	NOUN
brj-24472	212	17	and	and	CCONJ
brj-24472	212	18	clear	clear	ADJ
brj-24472	212	19	emotional	emotional	ADJ
brj-24472	212	20	distinctions	distinction	NOUN
brj-24472	212	21	between	between	ADP
brj-24472	212	22	them	they	PRON
brj-24472	212	23	.	.	PUNCT
brj-24472	213	1	specifically	specifically	ADV
brj-24472	213	2	,	,	PUNCT
brj-24472	213	3	sub	sub	ADJ
brj-24472	213	4	-	-	ADJ
brj-24472	213	5	vocabulary	vocabulary	ADJ
brj-24472	213	6	items	item	NOUN
brj-24472	213	7	under	under	ADP
brj-24472	213	8	the	the	DET
brj-24472	213	9	same	same	ADJ
brj-24472	213	10	perceptual	perceptual	ADJ
brj-24472	213	11	dimension	dimension	NOUN
brj-24472	213	12	exhibited	exhibit	VERB
brj-24472	213	13	highly	highly	ADV
brj-24472	213	14	convergent	convergent	ADJ
brj-24472	213	15	patterns	pattern	NOUN
brj-24472	213	16	in	in	ADP
brj-24472	213	17	the	the	DET
brj-24472	213	18	pad	pad	NOUN
brj-24472	213	19	space	space	NOUN
brj-24472	213	20	.	.	PUNCT
brj-24472	214	1	for	for	ADP
brj-24472	214	2	instance	instance	NOUN
brj-24472	214	3	,	,	PUNCT
brj-24472	214	4	"	"	PUNCT
brj-24472	214	5	warm	warm	ADJ
brj-24472	214	6	"	"	PUNCT
brj-24472	214	7	and	and	CCONJ
brj-24472	214	8	"	"	PUNCT
brj-24472	214	9	comfortable	comfortable	ADJ
brj-24472	214	10	"	"	PUNCT
brj-24472	214	11	in	in	ADP
brj-24472	214	12	the	the	DET
brj-24472	214	13	"	"	PUNCT
brj-24472	214	14	soft	soft	ADJ
brj-24472	214	15	"	"	PUNCT
brj-24472	214	16	dimension	dimension	NOUN
brj-24472	214	17	both	both	PRON
brj-24472	214	18	demonstrated	demonstrate	VERB
brj-24472	214	19	extremely	extremely	ADV
brj-24472	214	20	high	high	ADJ
brj-24472	214	21	pleasure	pleasure	NOUN
brj-24472	214	22	(	(	PUNCT
brj-24472	214	23	p=9	p=9	NOUN
brj-24472	214	24	)	)	PUNCT
brj-24472	214	25	and	and	CCONJ
brj-24472	214	26	very	very	ADV
brj-24472	214	27	low	low	ADJ
brj-24472	214	28	arousal	arousal	NOUN
brj-24472	214	29	(	(	PUNCT
brj-24472	214	30	a=2	a=2	PROPN
brj-24472	214	31	)	)	PUNCT
brj-24472	214	32	,	,	PUNCT
brj-24472	214	33	with	with	ADP
brj-24472	214	34	a	a	DET
brj-24472	214	35	standard	standard	ADJ
brj-24472	214	36	deviation	deviation	NOUN
brj-24472	214	37	(	(	PUNCT
brj-24472	214	38	sd	sd	NOUN
brj-24472	214	39	)	)	PUNCT
brj-24472	214	40	below	below	ADP
brj-24472	214	41	0.5	0.5	NUM
brj-24472	214	42	.	.	PUNCT
brj-24472	215	1	conversely	conversely	ADV
brj-24472	215	2	,	,	PUNCT
brj-24472	215	3	"	"	PUNCT
brj-24472	215	4	strong	strong	ADJ
brj-24472	215	5	"	"	PUNCT
brj-24472	215	6	and	and	CCONJ
brj-24472	215	7	"	"	PUNCT
brj-24472	215	8	sturdy	sturdy	ADJ
brj-24472	215	9	"	"	PUNCT
brj-24472	215	10	in	in	ADP
brj-24472	215	11	the	the	DET
brj-24472	215	12	"	"	PUNCT
brj-24472	215	13	tough	tough	ADJ
brj-24472	215	14	"	"	PUNCT
brj-24472	215	15	dimension	dimension	NOUN
brj-24472	215	16	shared	share	VERB
brj-24472	215	17	high	high	ADJ
brj-24472	215	18	arousal	arousal	NOUN
brj-24472	215	19	(	(	PUNCT
brj-24472	215	20	a=7	a=7	NOUN
brj-24472	215	21	)	)	PUNCT
brj-24472	215	22	and	and	CCONJ
brj-24472	215	23	high	high	ADJ
brj-24472	215	24	dominance	dominance	NOUN
brj-24472	215	25	(	(	PUNCT
brj-24472	215	26	d=8	d=8	ADP
brj-24472	215	27	)	)	PUNCT
brj-24472	215	28	,	,	PUNCT
brj-24472	215	29	with	with	ADP
brj-24472	215	30	all	all	DET
brj-24472	215	31	dimensions	dimension	NOUN
brj-24472	215	32	showing	show	VERB
brj-24472	215	33	a	a	DET
brj-24472	215	34	coefficient	coefficient	NOUN
brj-24472	215	35	of	of	ADP
brj-24472	215	36	variation	variation	NOUN
brj-24472	215	37	(	(	PUNCT
brj-24472	215	38	cv	cv	NOUN
brj-24472	215	39	)	)	PUNCT
brj-24472	215	40	below	below	ADP
brj-24472	215	41	15	15	NUM
brj-24472	215	42	%	%	NOUN
brj-24472	215	43	for	for	ADP
brj-24472	215	44	pad	pad	NOUN
brj-24472	215	45	scores	score	NOUN
brj-24472	215	46	.	.	PUNCT
brj-24472	216	1	meanwhile	meanwhile	ADV
brj-24472	216	2	,	,	PUNCT
brj-24472	216	3	significant	significant	ADJ
brj-24472	216	4	differences	difference	NOUN
brj-24472	216	5	were	be	AUX
brj-24472	216	6	observed	observe	VERB
brj-24472	216	7	between	between	ADP
brj-24472	216	8	dimensions	dimension	NOUN
brj-24472	216	9	in	in	ADP
brj-24472	216	10	the	the	DET
brj-24472	216	11	emotional	emotional	ADJ
brj-24472	216	12	space	space	NOUN
brj-24472	216	13	,	,	PUNCT
brj-24472	216	14	particularly	particularly	ADV
brj-24472	216	15	in	in	ADP
brj-24472	216	16	arousal	arousal	ADJ
brj-24472	216	17	levels	level	NOUN
brj-24472	216	18	.	.	PUNCT
brj-24472	217	1	for	for	ADP
brj-24472	217	2	example	example	NOUN
brj-24472	217	3	,	,	PUNCT
brj-24472	217	4	the	the	DET
brj-24472	217	5	arousal	arousal	ADJ
brj-24472	217	6	intensity	intensity	NOUN
brj-24472	217	7	of	of	ADP
brj-24472	217	8	the	the	DET
brj-24472	217	9	"	"	PUNCT
brj-24472	217	10	creative	creative	ADJ
brj-24472	217	11	"	"	PUNCT
brj-24472	217	12	dimension	dimension	NOUN
brj-24472	217	13	(	(	PUNCT
brj-24472	217	14	a=8	a=8	ADV
brj-24472	217	15	)	)	PUNCT
brj-24472	217	16	was	be	AUX
brj-24472	217	17	four	four	NUM
brj-24472	217	18	times	time	NOUN
brj-24472	217	19	that	that	PRON
brj-24472	217	20	of	of	ADP
brj-24472	217	21	the	the	DET
brj-24472	217	22	"	"	PUNCT
brj-24472	217	23	ancient	ancient	ADJ
brj-24472	217	24	"	"	PUNCT
brj-24472	217	25	dimension	dimension	NOUN
brj-24472	217	26	(	(	PUNCT
brj-24472	217	27	a=2	a=2	PROPN
brj-24472	217	28	)	)	PUNCT
brj-24472	217	29	.	.	PUNCT
brj-24472	218	1	multivariate	multivariate	VERB
brj-24472	218	2	analysis	analysis	NOUN
brj-24472	218	3	of	of	ADP
brj-24472	218	4	variance	variance	NOUN
brj-24472	218	5	(	(	PUNCT
brj-24472	218	6	manova	manova	PROPN
brj-24472	218	7	)	)	PUNCT
brj-24472	218	8	confirmed	confirm	VERB
brj-24472	218	9	significant	significant	ADJ
brj-24472	218	10	overall	overall	ADJ
brj-24472	218	11	pad	pad	NOUN
brj-24472	218	12	differences	difference	NOUN
brj-24472	218	13	between	between	ADP
brj-24472	218	14	dimensions	dimension	NOUN
brj-24472	218	15	(	(	PUNCT
brj-24472	218	16	wilks	wilks	PROPN
brj-24472	218	17	'	'	PART
brj-24472	218	18	λ=0.12	λ=0.12	NOUN
brj-24472	218	19	,	,	PUNCT
brj-24472	218	20	p<0.001	p<0.001	PROPN
brj-24472	218	21	)	)	PUNCT
brj-24472	218	22	,	,	PUNCT
brj-24472	218	23	with	with	ADP
brj-24472	218	24	arousal	arousal	NOUN
brj-24472	218	25	showing	show	VERB
brj-24472	218	26	the	the	DET
brj-24472	218	27	most	most	ADV
brj-24472	218	28	pronounced	pronounce	VERB
brj-24472	218	29	inter	inter	ADJ
brj-24472	218	30	-	-	ADJ
brj-24472	218	31	group	group	ADJ
brj-24472	218	32	variance	variance	NOUN
brj-24472	218	33	(	(	PUNCT
brj-24472	218	34	f=37.52	f=37.52	NOUN
brj-24472	218	35	,	,	PUNCT
brj-24472	218	36	p<0.0001	p<0.0001	NOUN
brj-24472	218	37	)	)	PUNCT
brj-24472	218	38	.	.	PUNCT
brj-24472	219	1	discriminant	discriminant	ADJ
brj-24472	219	2	analysis	analysis	NOUN
brj-24472	219	3	further	far	ADV
brj-24472	219	4	indicated	indicate	VERB
brj-24472	219	5	a	a	DET
brj-24472	219	6	92	92	NUM
brj-24472	219	7	%	%	NOUN
brj-24472	219	8	correct	correct	ADJ
brj-24472	219	9	classification	classification	NOUN
brj-24472	219	10	rate	rate	NOUN
brj-24472	219	11	for	for	ADP
brj-24472	219	12	vocabulary	vocabulary	NOUN
brj-24472	219	13	across	across	ADP
brj-24472	219	14	dimensions	dimension	NOUN
brj-24472	219	15	,	,	PUNCT
brj-24472	219	16	with	with	ADP
brj-24472	219	17	a	a	DET
brj-24472	219	18	100	100	NUM
brj-24472	219	19	%	%	NOUN
brj-24472	219	20	distinction	distinction	NOUN
brj-24472	219	21	between	between	ADP
brj-24472	219	22	"	"	PUNCT
brj-24472	219	23	creative	creative	ADJ
brj-24472	219	24	"	"	PUNCT
brj-24472	219	25	and	and	CCONJ
brj-24472	219	26	traditional	traditional	ADJ
brj-24472	219	27	dimensions	dimension	NOUN
brj-24472	219	28	.	.	PUNCT
brj-24472	220	1	the	the	DET
brj-24472	220	2	pad	pad	NOUN
brj-24472	220	3	model	model	NOUN
brj-24472	220	4	validated	validate	VERB
brj-24472	220	5	the	the	DET
brj-24472	220	6	intrinsic	intrinsic	ADJ
brj-24472	220	7	rationality	rationality	NOUN
brj-24472	220	8	of	of	ADP
brj-24472	220	9	clustering	cluster	VERB
brj-24472	220	10	through	through	ADP
brj-24472	220	11	emotional	emotional	ADJ
brj-24472	220	12	quantification	quantification	NOUN
brj-24472	220	13	.	.	PUNCT
brj-24472	221	1	these	these	DET
brj-24472	221	2	results	result	NOUN
brj-24472	221	3	demonstrate	demonstrate	VERB
brj-24472	221	4	that	that	SCONJ
brj-24472	221	5	the	the	DET
brj-24472	221	6	clustering	cluster	VERB
brj-24472	221	7	outcomes	outcome	NOUN
brj-24472	221	8	of	of	ADP
brj-24472	221	9	this	this	DET
brj-24472	221	10	study	study	NOUN
brj-24472	221	11	not	not	PART
brj-24472	221	12	only	only	ADV
brj-24472	221	13	align	align	VERB
brj-24472	221	14	with	with	ADP
brj-24472	221	15	semantic	semantic	ADJ
brj-24472	221	16	logic	logic	NOUN
brj-24472	221	17	but	but	CCONJ
brj-24472	221	18	are	be	AUX
brj-24472	221	19	also	also	ADV
brj-24472	221	20	interpretable	interpretable	ADJ
brj-24472	221	21	at	at	ADP
brj-24472	221	22	the	the	DET
brj-24472	221	23	level	level	NOUN
brj-24472	221	24	of	of	ADP
brj-24472	221	25	emotional	emotional	ADJ
brj-24472	221	26	response	response	NOUN
brj-24472	221	27	.	.	PUNCT
brj-24472	222	1	table	table	NOUN
brj-24472	222	2	1	1	NUM
brj-24472	222	3	.	.	X
brj-24472	222	4	pad	pad	NOUN
brj-24472	222	5	scoring	scoring	NOUN
brj-24472	222	6	and	and	CCONJ
brj-24472	222	7	interpretation	interpretation	NOUN
brj-24472	222	8	of	of	ADP
brj-24472	222	9	perceptual	perceptual	ADJ
brj-24472	222	10	vocabulary	vocabulary	ADJ
brj-24472	222	11	clusters	cluster	NOUN
brj-24472	222	12	emotional	emotional	ADJ
brj-24472	222	13	dimension	dimension	NOUN
brj-24472	222	14	sub	sub	ADJ
brj-24472	222	15	-	-	ADJ
brj-24472	222	16	vocabulary	vocabulary	ADJ
brj-24472	222	17	p	p	NOUN
brj-24472	222	18	a	a	DET
brj-24472	222	19	d	d	PROPN
brj-24472	222	20	interpretation	interpretation	NOUN
brj-24472	222	21	logic	logic	NOUN
brj-24472	222	22	simple	simple	ADJ
brj-24472	222	23	fresh	fresh	ADJ
brj-24472	222	24	,	,	PUNCT
brj-24472	222	25	minimalistic	minimalistic	ADJ
brj-24472	222	26	7	7	NUM
brj-24472	222	27	3	3	NUM
brj-24472	222	28	5	5	NUM
brj-24472	222	29	high	high	ADJ
brj-24472	222	30	pleasure	pleasure	NOUN
brj-24472	222	31	(	(	PUNCT
brj-24472	222	32	comfort	comfort	NOUN
brj-24472	222	33	from	from	ADP
brj-24472	222	34	simplicity	simplicity	NOUN
brj-24472	222	35	)	)	PUNCT
brj-24472	222	36	,	,	PUNCT
brj-24472	222	37	low	low	ADJ
brj-24472	222	38	arousal	arousal	NOUN
brj-24472	222	39	(	(	PUNCT
brj-24472	222	40	non	non	ADJ
brj-24472	222	41	-	-	ADJ
brj-24472	222	42	stimulating	stimulating	ADJ
brj-24472	222	43	)	)	PUNCT
brj-24472	222	44	,	,	PUNCT
brj-24472	222	45	medium	medium	ADJ
brj-24472	222	46	dominance	dominance	NOUN
brj-24472	222	47	(	(	PUNCT
brj-24472	222	48	easy	easy	ADJ
brj-24472	222	49	to	to	PART
brj-24472	222	50	control	control	VERB
brj-24472	222	51	)	)	PUNCT
brj-24472	222	52	creative	creative	ADJ
brj-24472	222	53	unique	unique	ADJ
brj-24472	222	54	,	,	PUNCT
brj-24472	222	55	innovative	innovative	ADJ
brj-24472	222	56	8	8	NUM
brj-24472	222	57	8	8	NUM
brj-24472	222	58	4	4	NUM
brj-24472	222	59	high	high	ADJ
brj-24472	222	60	pleasure	pleasure	NOUN
brj-24472	222	61	(	(	PUNCT
brj-24472	222	62	excitement	excitement	NOUN
brj-24472	222	63	from	from	ADP
brj-24472	222	64	innovation	innovation	NOUN
brj-24472	222	65	)	)	PUNCT
brj-24472	222	66	,	,	PUNCT
brj-24472	222	67	high	high	ADJ
brj-24472	222	68	arousal	arousal	NOUN
brj-24472	222	69	(	(	PUNCT
brj-24472	222	70	stimulates	stimulate	VERB
brj-24472	222	71	curiosity	curiosity	NOUN
brj-24472	222	72	)	)	PUNCT
brj-24472	222	73	,	,	PUNCT
brj-24472	222	74	low	low	ADJ
brj-24472	222	75	dominance	dominance	NOUN
brj-24472	222	76	(	(	PUNCT
brj-24472	222	77	uncertainty	uncertainty	NOUN
brj-24472	222	78	)	)	PUNCT
brj-24472	222	79	soft	soft	ADJ
brj-24472	222	80	warm	warm	ADJ
brj-24472	222	81	,	,	PUNCT
brj-24472	222	82	comfortable	comfortable	ADJ
brj-24472	222	83	9	9	NUM
brj-24472	222	84	2	2	NUM
brj-24472	222	85	6	6	NUM
brj-24472	222	86	extremely	extremely	ADV
brj-24472	222	87	high	high	ADJ
brj-24472	222	88	pleasure	pleasure	NOUN
brj-24472	222	89	(	(	PUNCT
brj-24472	222	90	warm	warm	ADJ
brj-24472	222	91	comfort	comfort	NOUN
brj-24472	222	92	)	)	PUNCT
brj-24472	222	93	,	,	PUNCT
brj-24472	222	94	very	very	ADV
brj-24472	222	95	low	low	ADJ
brj-24472	222	96	arousal	arousal	NOUN
brj-24472	222	97	(	(	PUNCT
brj-24472	222	98	relaxation	relaxation	NOUN
brj-24472	222	99	)	)	PUNCT
brj-24472	222	100	,	,	PUNCT
brj-24472	222	101	medium	medium	ADJ
brj-24472	222	102	-	-	PUNCT
brj-24472	222	103	high	high	ADJ
brj-24472	222	104	dominance	dominance	NOUN
brj-24472	222	105	(	(	PUNCT
brj-24472	222	106	environmental	environmental	ADJ
brj-24472	222	107	controllability	controllability	NOUN
brj-24472	222	108	)	)	PUNCT
brj-24472	222	109	flexible	flexible	ADJ
brj-24472	222	110	witty	witty	ADJ
brj-24472	222	111	,	,	PUNCT
brj-24472	222	112	rational	rational	ADJ
brj-24472	222	113	6	6	NUM
brj-24472	222	114	5	5	NUM
brj-24472	222	115	7	7	NUM
brj-24472	222	116	moderate	moderate	ADJ
brj-24472	222	117	pleasure	pleasure	NOUN
brj-24472	222	118	(	(	PUNCT
brj-24472	222	119	clever	clever	ADJ
brj-24472	222	120	rationality	rationality	NOUN
brj-24472	222	121	)	)	PUNCT
brj-24472	222	122	,	,	PUNCT
brj-24472	222	123	moderate	moderate	ADJ
brj-24472	222	124	arousal	arousal	NOUN
brj-24472	222	125	(	(	PUNCT
brj-24472	222	126	requires	require	VERB
brj-24472	222	127	thought	think	VERB
brj-24472	222	128	)	)	PUNCT
brj-24472	222	129	,	,	PUNCT
brj-24472	222	130	high	high	ADJ
brj-24472	222	131	dominance	dominance	NOUN
brj-24472	222	132	(	(	PUNCT
brj-24472	222	133	logical	logical	ADJ
brj-24472	222	134	control	control	NOUN
brj-24472	222	135	)	)	PUNCT
brj-24472	222	136	tough	tough	ADJ
brj-24472	222	137	strong	strong	ADJ
brj-24472	222	138	,	,	PUNCT
brj-24472	222	139	sturdy	sturdy	ADJ
brj-24472	222	140	5	5	NUM
brj-24472	222	141	7	7	NUM
brj-24472	222	142	8	8	NUM
brj-24472	222	143	moderate	moderate	ADJ
brj-24472	222	144	-	-	PUNCT
brj-24472	222	145	low	low	ADJ
brj-24472	222	146	pleasure	pleasure	NOUN
brj-24472	222	147	(	(	PUNCT
brj-24472	222	148	potential	potential	ADJ
brj-24472	222	149	oppression	oppression	NOUN
brj-24472	222	150	)	)	PUNCT
brj-24472	222	151	,	,	PUNCT
brj-24472	222	152	high	high	ADJ
brj-24472	222	153	arousal	arousal	NOUN
brj-24472	222	154	(	(	PUNCT
brj-24472	222	155	power	power	NOUN
brj-24472	222	156	stimulation	stimulation	NOUN
brj-24472	222	157	)	)	PUNCT
brj-24472	222	158	,	,	PUNCT
brj-24472	222	159	high	high	ADJ
brj-24472	222	160	dominance	dominance	NOUN
brj-24472	222	161	(	(	PUNCT
brj-24472	222	162	stability	stability	NOUN
brj-24472	222	163	provides	provide	VERB
brj-24472	222	164	security	security	NOUN
brj-24472	222	165	)	)	PUNCT
brj-24472	222	166	elegant	elegant	ADJ
brj-24472	222	167	exquisite	exquisite	ADJ
brj-24472	222	168	,	,	PUNCT
brj-24472	222	169	gorgeous	gorgeous	ADJ
brj-24472	222	170	8	8	NUM
brj-24472	222	171	4	4	NUM
brj-24472	222	172	6	6	NUM
brj-24472	222	173	high	high	ADJ
brj-24472	222	174	pleasure	pleasure	NOUN
brj-24472	222	175	(	(	PUNCT
brj-24472	222	176	refined	refined	ADJ
brj-24472	222	177	beauty	beauty	NOUN
brj-24472	222	178	)	)	PUNCT
brj-24472	222	179	,	,	PUNCT
brj-24472	222	180	moderate	moderate	ADJ
brj-24472	222	181	-	-	PUNCT
brj-24472	222	182	low	low	ADJ
brj-24472	222	183	arousal	arousal	NOUN
brj-24472	222	184	(	(	PUNCT
brj-24472	222	185	calm	calm	ADJ
brj-24472	222	186	elegance	elegance	NOUN
brj-24472	222	187	)	)	PUNCT
brj-24472	222	188	,	,	PUNCT
brj-24472	222	189	medium	medium	ADJ
brj-24472	222	190	dominance	dominance	NOUN
brj-24472	222	191	peer	peer	NOUN
brj-24472	222	192	-	-	PUNCT
brj-24472	222	193	reviewed	review	VERB
brj-24472	222	194	article	article	NOUN
brj-24472	222	195	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	222	196	huang	huang	PROPN
brj-24472	222	197	et	et	PROPN
brj-24472	222	198	al	al	PROPN
brj-24472	222	199	.	.	PROPN
brj-24472	223	1	(	(	PUNCT
brj-24472	223	2	2025	2025	NUM
brj-24472	223	3	)	)	PUNCT
brj-24472	223	4	.	.	PUNCT
brj-24472	224	1	“	"	PUNCT
brj-24472	224	2	bamboo	bamboo	NOUN
brj-24472	224	3	furniture	furniture	NOUN
brj-24472	224	4	design	design	NOUN
brj-24472	224	5	,	,	PUNCT
brj-24472	224	6	”	"	PUNCT
brj-24472	224	7	bioresources	bioresource	NOUN
brj-24472	224	8	20(3	20(3	NOUN
brj-24472	224	9	)	)	PUNCT
brj-24472	224	10	,	,	PUNCT
brj-24472	224	11	7107	7107	NUM
brj-24472	224	12	-	-	SYM
brj-24472	224	13	7133	7133	NUM
brj-24472	224	14	.	.	PUNCT
brj-24472	225	1	7117	7117	NUM
brj-24472	225	2	(	(	PUNCT
brj-24472	225	3	appreciation	appreciation	NOUN
brj-24472	225	4	without	without	ADP
brj-24472	225	5	ownership	ownership	NOUN
brj-24472	225	6	)	)	PUNCT
brj-24472	225	7	traditional	traditional	ADJ
brj-24472	225	8	classic	classic	ADJ
brj-24472	225	9	,	,	PUNCT
brj-24472	225	10	customary	customary	ADJ
brj-24472	225	11	6	6	NUM
brj-24472	225	12	3	3	NUM
brj-24472	225	13	7	7	NUM
brj-24472	225	14	moderate	moderate	ADJ
brj-24472	225	15	pleasure	pleasure	NOUN
brj-24472	225	16	(	(	PUNCT
brj-24472	225	17	familiarity	familiarity	NOUN
brj-24472	225	18	)	)	PUNCT
brj-24472	225	19	,	,	PUNCT
brj-24472	225	20	low	low	ADJ
brj-24472	225	21	arousal	arousal	NOUN
brj-24472	225	22	(	(	PUNCT
brj-24472	225	23	conventional	conventional	ADJ
brj-24472	225	24	)	)	PUNCT
brj-24472	225	25	,	,	PUNCT
brj-24472	225	26	high	high	ADJ
brj-24472	225	27	dominance	dominance	NOUN
brj-24472	225	28	(	(	PUNCT
brj-24472	225	29	clear	clear	ADJ
brj-24472	225	30	rules	rule	NOUN
brj-24472	225	31	)	)	PUNCT
brj-24472	225	32	ancient	ancient	ADJ
brj-24472	225	33	timeless	timeless	NOUN
brj-24472	225	34	,	,	PUNCT
brj-24472	225	35	heritage	heritage	NOUN
brj-24472	225	36	7	7	NUM
brj-24472	225	37	2	2	NUM
brj-24472	225	38	5	5	NUM
brj-24472	225	39	high	high	ADJ
brj-24472	225	40	pleasure	pleasure	NOUN
brj-24472	225	41	(	(	PUNCT
brj-24472	225	42	timeless	timeless	NOUN
brj-24472	225	43	value	value	NOUN
brj-24472	225	44	)	)	PUNCT
brj-24472	225	45	,	,	PUNCT
brj-24472	225	46	very	very	ADV
brj-24472	225	47	low	low	ADJ
brj-24472	225	48	arousal	arousal	NOUN
brj-24472	225	49	(	(	PUNCT
brj-24472	225	50	nostalgic	nostalgic	ADJ
brj-24472	225	51	tranquility	tranquility	NOUN
brj-24472	225	52	)	)	PUNCT
brj-24472	225	53	,	,	PUNCT
brj-24472	225	54	medium	medium	ADJ
brj-24472	225	55	dominance	dominance	NOUN
brj-24472	225	56	(	(	PUNCT
brj-24472	225	57	historical	historical	ADJ
brj-24472	225	58	weight	weight	NOUN
brj-24472	225	59	)	)	PUNCT
brj-24472	225	60	collection	collection	NOUN
brj-24472	225	61	of	of	ADP
brj-24472	225	62	representative	representative	ADJ
brj-24472	225	63	samples	sample	NOUN
brj-24472	225	64	of	of	ADP
brj-24472	225	65	bamboo	bamboo	NOUN
brj-24472	225	66	chairs	chair	NOUN
brj-24472	225	67	this	this	DET
brj-24472	225	68	study	study	NOUN
brj-24472	225	69	aimed	aim	VERB
brj-24472	225	70	to	to	PART
brj-24472	225	71	ensure	ensure	VERB
brj-24472	225	72	that	that	SCONJ
brj-24472	225	73	the	the	DET
brj-24472	225	74	research	research	NOUN
brj-24472	225	75	samples	sample	NOUN
brj-24472	225	76	included	include	VERB
brj-24472	225	77	different	different	ADJ
brj-24472	225	78	styles	style	NOUN
brj-24472	225	79	,	,	PUNCT
brj-24472	225	80	functions	function	NOUN
brj-24472	225	81	,	,	PUNCT
brj-24472	225	82	and	and	CCONJ
brj-24472	225	83	design	design	NOUN
brj-24472	225	84	concepts	concept	NOUN
brj-24472	225	85	of	of	ADP
brj-24472	225	86	bamboo	bamboo	NOUN
brj-24472	225	87	chairs	chair	NOUN
brj-24472	225	88	,	,	PUNCT
brj-24472	225	89	and	and	CCONJ
brj-24472	225	90	ensure	ensure	VERB
brj-24472	225	91	that	that	SCONJ
brj-24472	225	92	the	the	DET
brj-24472	225	93	diversity	diversity	NOUN
brj-24472	225	94	of	of	ADP
brj-24472	225	95	bamboo	bamboo	NOUN
brj-24472	225	96	chairs	chair	NOUN
brj-24472	225	97	in	in	ADP
brj-24472	225	98	the	the	DET
brj-24472	225	99	market	market	NOUN
brj-24472	225	100	was	be	AUX
brj-24472	225	101	fully	fully	ADV
brj-24472	225	102	reflected	reflect	VERB
brj-24472	225	103	.	.	PUNCT
brj-24472	226	1	in	in	ADP
brj-24472	226	2	this	this	DET
brj-24472	226	3	study	study	NOUN
brj-24472	226	4	,	,	PUNCT
brj-24472	226	5	a	a	DET
brj-24472	226	6	total	total	NOUN
brj-24472	226	7	of	of	ADP
brj-24472	226	8	120	120	NUM
brj-24472	226	9	bamboo	bamboo	NOUN
brj-24472	226	10	chair	chair	NOUN
brj-24472	226	11	samples	sample	NOUN
brj-24472	226	12	were	be	AUX
brj-24472	226	13	collected	collect	VERB
brj-24472	226	14	through	through	ADP
brj-24472	226	15	various	various	ADJ
brj-24472	226	16	channels	channel	NOUN
brj-24472	226	17	,	,	PUNCT
brj-24472	226	18	including	include	VERB
brj-24472	226	19	furniture	furniture	NOUN
brj-24472	226	20	exhibitions	exhibition	NOUN
brj-24472	226	21	,	,	PUNCT
brj-24472	226	22	design	design	NOUN
brj-24472	226	23	fairs	fair	NOUN
brj-24472	226	24	,	,	PUNCT
brj-24472	226	25	furniture	furniture	NOUN
brj-24472	226	26	stores	store	NOUN
brj-24472	226	27	and	and	CCONJ
brj-24472	226	28	online	online	ADJ
brj-24472	226	29	platforms	platform	NOUN
brj-24472	226	30	.	.	PUNCT
brj-24472	227	1	the	the	DET
brj-24472	227	2	expert	expert	NOUN
brj-24472	227	3	group	group	NOUN
brj-24472	227	4	focused	focus	VERB
brj-24472	227	5	on	on	ADP
brj-24472	227	6	eliminating	eliminate	VERB
brj-24472	227	7	samples	sample	NOUN
brj-24472	227	8	with	with	ADP
brj-24472	227	9	excessive	excessive	ADJ
brj-24472	227	10	repeatability	repeatability	NOUN
brj-24472	227	11	and	and	CCONJ
brj-24472	227	12	chaotic	chaotic	ADJ
brj-24472	227	13	background	background	NOUN
brj-24472	227	14	,	,	PUNCT
brj-24472	227	15	which	which	PRON
brj-24472	227	16	resulted	result	VERB
brj-24472	227	17	in	in	ADP
brj-24472	227	18	50	50	NUM
brj-24472	227	19	representative	representative	ADJ
brj-24472	227	20	samples	sample	NOUN
brj-24472	227	21	that	that	PRON
brj-24472	227	22	were	be	AUX
brj-24472	227	23	retained	retain	VERB
brj-24472	227	24	.	.	PUNCT
brj-24472	228	1	the	the	DET
brj-24472	228	2	design	design	NOUN
brj-24472	228	3	team	team	NOUN
brj-24472	228	4	used	use	VERB
brj-24472	228	5	photoshop	photoshop	PROPN
brj-24472	228	6	to	to	PART
brj-24472	228	7	remove	remove	VERB
brj-24472	228	8	the	the	DET
brj-24472	228	9	background	background	NOUN
brj-24472	228	10	of	of	ADP
brj-24472	228	11	samples	sample	NOUN
brj-24472	228	12	,	,	PUNCT
brj-24472	228	13	and	and	CCONJ
brj-24472	228	14	the	the	DET
brj-24472	228	15	bamboo	bamboo	NOUN
brj-24472	228	16	chair	chair	NOUN
brj-24472	228	17	database	database	NOUN
brj-24472	228	18	of	of	ADP
brj-24472	228	19	this	this	DET
brj-24472	228	20	study	study	NOUN
brj-24472	228	21	was	be	AUX
brj-24472	228	22	formed	form	VERB
brj-24472	228	23	,	,	PUNCT
brj-24472	228	24	as	as	SCONJ
brj-24472	228	25	shown	show	VERB
brj-24472	228	26	in	in	ADP
brj-24472	228	27	fig	fig	NOUN
brj-24472	228	28	.	.	PUNCT
brj-24472	229	1	4	4	X
brj-24472	229	2	.	.	X
brj-24472	229	3	fig	fig	NOUN
brj-24472	229	4	.	.	PUNCT
brj-24472	230	1	4	4	X
brj-24472	230	2	.	.	X
brj-24472	230	3	bamboo	bamboo	NOUN
brj-24472	230	4	chair	chair	NOUN
brj-24472	230	5	sample	sample	NOUN
brj-24472	230	6	database	database	NOUN
brj-24472	230	7	morphological	morphological	ADJ
brj-24472	230	8	deconstruction	deconstruction	NOUN
brj-24472	230	9	table	table	NOUN
brj-24472	230	10	of	of	ADP
brj-24472	230	11	bamboo	bamboo	NOUN
brj-24472	230	12	chairs	chair	NOUN
brj-24472	230	13	is	be	AUX
brj-24472	230	14	construed	construe	VERB
brj-24472	230	15	through	through	ADP
brj-24472	230	16	the	the	DET
brj-24472	230	17	morphological	morphological	ADJ
brj-24472	230	18	analysis	analysis	NOUN
brj-24472	230	19	morphological	morphological	ADJ
brj-24472	230	20	analysis	analysis	NOUN
brj-24472	230	21	was	be	AUX
brj-24472	230	22	used	use	VERB
brj-24472	230	23	to	to	PART
brj-24472	230	24	analyze	analyze	VERB
brj-24472	230	25	and	and	CCONJ
brj-24472	230	26	deconstruct	deconstruct	VERB
brj-24472	230	27	the	the	DET
brj-24472	230	28	design	design	NOUN
brj-24472	230	29	features	feature	NOUN
brj-24472	230	30	of	of	ADP
brj-24472	230	31	bamboo	bamboo	NOUN
brj-24472	230	32	chairs	chair	NOUN
brj-24472	230	33	,	,	PUNCT
brj-24472	230	34	which	which	PRON
brj-24472	230	35	aims	aim	VERB
brj-24472	230	36	at	at	ADP
brj-24472	230	37	establishing	establish	VERB
brj-24472	230	38	the	the	DET
brj-24472	230	39	relationship	relationship	NOUN
brj-24472	230	40	between	between	ADP
brj-24472	230	41	users	user	NOUN
brj-24472	230	42	and	and	CCONJ
brj-24472	230	43	products	product	NOUN
brj-24472	230	44	when	when	SCONJ
brj-24472	230	45	the	the	DET
brj-24472	230	46	mapping	mapping	NOUN
brj-24472	230	47	models	model	NOUN
brj-24472	230	48	are	be	AUX
brj-24472	230	49	constructed	construct	VERB
brj-24472	230	50	(	(	PUNCT
brj-24472	230	51	wang	wang	PROPN
brj-24472	230	52	et	et	PROPN
brj-24472	230	53	al	al	PROPN
brj-24472	230	54	.	.	PROPN
brj-24472	230	55	2024	2024	NUM
brj-24472	230	56	)	)	PUNCT
brj-24472	230	57	.	.	PUNCT
brj-24472	231	1	morphological	morphological	ADJ
brj-24472	231	2	analysis	analysis	NOUN
brj-24472	231	3	is	be	AUX
brj-24472	231	4	a	a	DET
brj-24472	231	5	systematic	systematic	ADJ
brj-24472	231	6	analysis	analysis	NOUN
brj-24472	231	7	tool	tool	NOUN
brj-24472	231	8	that	that	PRON
brj-24472	231	9	helps	help	VERB
brj-24472	231	10	researchers	researcher	NOUN
brj-24472	231	11	understand	understand	VERB
brj-24472	231	12	the	the	DET
brj-24472	231	13	structure	structure	NOUN
brj-24472	231	14	,	,	PUNCT
brj-24472	231	15	function	function	NOUN
brj-24472	231	16	and	and	CCONJ
brj-24472	231	17	aesthetic	aesthetic	ADJ
brj-24472	231	18	characteristics	characteristic	NOUN
brj-24472	231	19	of	of	ADP
brj-24472	231	20	a	a	DET
brj-24472	231	21	product	product	NOUN
brj-24472	231	22	by	by	ADP
brj-24472	231	23	breaking	break	VERB
brj-24472	231	24	down	down	ADP
brj-24472	231	25	its	its	PRON
brj-24472	231	26	various	various	ADJ
brj-24472	231	27	components	component	NOUN
brj-24472	231	28	.	.	PUNCT
brj-24472	232	1	in	in	ADP
brj-24472	232	2	this	this	DET
brj-24472	232	3	process	process	NOUN
brj-24472	232	4	,	,	PUNCT
brj-24472	232	5	the	the	DET
brj-24472	232	6	expert	expert	NOUN
brj-24472	232	7	group	group	NOUN
brj-24472	232	8	first	first	ADV
brj-24472	232	9	observed	observe	VERB
brj-24472	232	10	the	the	DET
brj-24472	232	11	overall	overall	ADJ
brj-24472	232	12	shape	shape	NOUN
brj-24472	232	13	of	of	ADP
brj-24472	232	14	the	the	DET
brj-24472	232	15	bamboo	bamboo	NOUN
brj-24472	232	16	chairs	chair	NOUN
brj-24472	232	17	and	and	CCONJ
brj-24472	232	18	identified	identify	VERB
brj-24472	232	19	its	its	PRON
brj-24472	232	20	main	main	ADJ
brj-24472	232	21	components	component	NOUN
brj-24472	232	22	,	,	PUNCT
brj-24472	232	23	including	include	VERB
brj-24472	232	24	the	the	DET
brj-24472	232	25	back	back	NOUN
brj-24472	232	26	of	of	ADP
brj-24472	232	27	the	the	DET
brj-24472	232	28	chair	chair	NOUN
brj-24472	232	29	,	,	PUNCT
brj-24472	232	30	the	the	DET
brj-24472	232	31	seat	seat	NOUN
brj-24472	232	32	surface	surface	NOUN
brj-24472	232	33	,	,	PUNCT
brj-24472	232	34	the	the	DET
brj-24472	232	35	armrest	armrest	NOUN
brj-24472	232	36	,	,	PUNCT
brj-24472	232	37	the	the	DET
brj-24472	232	38	legs	leg	NOUN
brj-24472	232	39	and	and	CCONJ
brj-24472	232	40	the	the	DET
brj-24472	232	41	way	way	NOUN
brj-24472	232	42	of	of	ADP
brj-24472	232	43	bamboo	bamboo	NOUN
brj-24472	232	44	-	-	PUNCT
brj-24472	232	45	weaving	weaving	NOUN
brj-24472	232	46	.	.	PUNCT
brj-24472	233	1	each	each	DET
brj-24472	233	2	design	design	NOUN
brj-24472	233	3	component	component	NOUN
brj-24472	233	4	element	element	NOUN
brj-24472	233	5	was	be	AUX
brj-24472	233	6	subdivided	subdivide	VERB
brj-24472	233	7	again	again	ADV
brj-24472	233	8	as	as	ADP
brj-24472	233	9	an	an	DET
brj-24472	233	10	independent	independent	ADJ
brj-24472	233	11	variable	variable	NOUN
brj-24472	233	12	,	,	PUNCT
brj-24472	233	13	and	and	CCONJ
brj-24472	233	14	finally	finally	ADV
brj-24472	233	15	the	the	DET
brj-24472	233	16	morphological	morphological	ADJ
brj-24472	233	17	deconstruction	deconstruction	NOUN
brj-24472	233	18	table	table	NOUN
brj-24472	233	19	of	of	ADP
brj-24472	233	20	the	the	DET
brj-24472	233	21	bamboo	bamboo	NOUN
brj-24472	233	22	chairs	chair	NOUN
brj-24472	233	23	was	be	AUX
brj-24472	233	24	established	establish	VERB
brj-24472	233	25	(	(	PUNCT
brj-24472	233	26	fig	fig	NOUN
brj-24472	233	27	.	.	PUNCT
brj-24472	234	1	5	5	NUM
brj-24472	234	2	)	)	PUNCT
brj-24472	234	3	.	.	PUNCT
brj-24472	235	1	peer	peer	NOUN
brj-24472	235	2	-	-	PUNCT
brj-24472	235	3	reviewed	review	VERB
brj-24472	235	4	article	article	NOUN
brj-24472	235	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	235	6	huang	huang	PROPN
brj-24472	235	7	et	et	PROPN
brj-24472	235	8	al	al	PROPN
brj-24472	235	9	.	.	PROPN
brj-24472	236	1	(	(	PUNCT
brj-24472	236	2	2025	2025	NUM
brj-24472	236	3	)	)	PUNCT
brj-24472	236	4	.	.	PUNCT
brj-24472	237	1	“	"	PUNCT
brj-24472	237	2	bamboo	bamboo	NOUN
brj-24472	237	3	furniture	furniture	NOUN
brj-24472	237	4	design	design	NOUN
brj-24472	237	5	,	,	PUNCT
brj-24472	237	6	”	"	PUNCT
brj-24472	237	7	bioresources	bioresource	NOUN
brj-24472	237	8	20(3	20(3	NOUN
brj-24472	237	9	)	)	PUNCT
brj-24472	237	10	,	,	PUNCT
brj-24472	237	11	7107	7107	NUM
brj-24472	237	12	-	-	SYM
brj-24472	237	13	7133	7133	NUM
brj-24472	237	14	.	.	PUNCT
brj-24472	238	1	7118	7118	NUM
brj-24472	238	2	fig	fig	NOUN
brj-24472	238	3	.	.	PUNCT
brj-24472	239	1	5	5	NUM
brj-24472	239	2	.	.	X
brj-24472	239	3	operational	operational	ADJ
brj-24472	239	4	process	process	NOUN
brj-24472	239	5	of	of	ADP
brj-24472	239	6	the	the	DET
brj-24472	239	7	ga	ga	PROPN
brj-24472	239	8	-	-	PUNCT
brj-24472	239	9	bpnn	bpnn	NOUN
brj-24472	239	10	model	model	NOUN
brj-24472	239	11	extract	extract	VERB
brj-24472	239	12	the	the	DET
brj-24472	239	13	optimal	optimal	ADJ
brj-24472	239	14	emotional	emotional	ADJ
brj-24472	239	15	needs	need	NOUN
brj-24472	239	16	of	of	ADP
brj-24472	239	17	users	user	NOUN
brj-24472	239	18	perception	perception	NOUN
brj-24472	239	19	experiment	experiment	NOUN
brj-24472	239	20	of	of	ADP
brj-24472	239	21	users	user	NOUN
brj-24472	239	22	on	on	ADP
brj-24472	239	23	bamboo	bamboo	NOUN
brj-24472	239	24	chairs	chair	NOUN
brj-24472	239	25	in	in	ADP
brj-24472	239	26	the	the	DET
brj-24472	239	27	stage	stage	NOUN
brj-24472	239	28	of	of	ADP
brj-24472	239	29	users	user	NOUN
brj-24472	239	30	’	’	PART
brj-24472	239	31	perception	perception	NOUN
brj-24472	239	32	experiment	experiment	NOUN
brj-24472	239	33	on	on	ADP
brj-24472	239	34	bamboo	bamboo	NOUN
brj-24472	239	35	chairs	chair	NOUN
brj-24472	239	36	,	,	PUNCT
brj-24472	239	37	7	7	NUM
brj-24472	239	38	-	-	PUNCT
brj-24472	239	39	step	step	NOUN
brj-24472	239	40	likert	likert	ADJ
brj-24472	239	41	scale	scale	NOUN
brj-24472	239	42	was	be	AUX
brj-24472	239	43	used	use	VERB
brj-24472	239	44	in	in	ADP
brj-24472	239	45	this	this	DET
brj-24472	239	46	study	study	NOUN
brj-24472	239	47	to	to	PART
brj-24472	239	48	conduct	conduct	VERB
brj-24472	239	49	perception	perception	NOUN
brj-24472	239	50	experiment	experiment	NOUN
brj-24472	239	51	on	on	ADP
brj-24472	239	52	users	user	NOUN
brj-24472	239	53	.	.	PUNCT
brj-24472	240	1	firstly	firstly	ADV
brj-24472	240	2	,	,	PUNCT
brj-24472	240	3	the	the	DET
brj-24472	240	4	questionnaire	questionnaire	NOUN
brj-24472	240	5	of	of	ADP
brj-24472	240	6	perception	perception	NOUN
brj-24472	240	7	evaluation	evaluation	NOUN
brj-24472	240	8	and	and	CCONJ
brj-24472	240	9	satisfaction	satisfaction	NOUN
brj-24472	240	10	evaluation	evaluation	NOUN
brj-24472	240	11	was	be	AUX
brj-24472	240	12	made	make	VERB
brj-24472	240	13	.	.	PUNCT
brj-24472	241	1	the	the	DET
brj-24472	241	2	content	content	NOUN
brj-24472	241	3	of	of	ADP
brj-24472	241	4	the	the	DET
brj-24472	241	5	questionnaire	questionnaire	NOUN
brj-24472	241	6	covered	cover	VERB
brj-24472	241	7	the	the	DET
brj-24472	241	8	user	user	NOUN
brj-24472	241	9	perception	perception	NOUN
brj-24472	241	10	evaluation	evaluation	NOUN
brj-24472	241	11	and	and	CCONJ
brj-24472	241	12	satisfaction	satisfaction	NOUN
brj-24472	241	13	rating	rating	NOUN
brj-24472	241	14	of	of	ADP
brj-24472	241	15	50	50	NUM
brj-24472	241	16	representative	representative	NOUN
brj-24472	241	17	samples	sample	NOUN
brj-24472	241	18	to	to	PART
brj-24472	241	19	comprehensively	comprehensively	ADV
brj-24472	241	20	understand	understand	VERB
brj-24472	241	21	the	the	DET
brj-24472	241	22	consumers	consumer	NOUN
brj-24472	241	23	’	’	PART
brj-24472	241	24	emotional	emotional	ADJ
brj-24472	241	25	response	response	NOUN
brj-24472	241	26	and	and	CCONJ
brj-24472	241	27	user	user	NOUN
brj-24472	241	28	experience	experience	NOUN
brj-24472	241	29	of	of	ADP
brj-24472	241	30	bamboo	bamboo	NOUN
brj-24472	241	31	chairs	chair	NOUN
brj-24472	241	32	.	.	PUNCT
brj-24472	242	1	a	a	DET
brj-24472	242	2	total	total	NOUN
brj-24472	242	3	of	of	ADP
brj-24472	242	4	150	150	NUM
brj-24472	242	5	chinese	chinese	ADJ
brj-24472	242	6	consumers	consumer	NOUN
brj-24472	242	7	were	be	AUX
brj-24472	242	8	invited	invite	VERB
brj-24472	242	9	to	to	PART
brj-24472	242	10	participate	participate	VERB
brj-24472	242	11	in	in	ADP
brj-24472	242	12	the	the	DET
brj-24472	242	13	questionnaire	questionnaire	NOUN
brj-24472	242	14	survey	survey	NOUN
brj-24472	242	15	,	,	PUNCT
brj-24472	242	16	with	with	ADP
brj-24472	242	17	8	8	NUM
brj-24472	242	18	invalid	invalid	ADJ
brj-24472	242	19	responses	response	NOUN
brj-24472	242	20	excluded	exclude	VERB
brj-24472	242	21	,	,	PUNCT
brj-24472	242	22	resulting	result	VERB
brj-24472	242	23	in	in	ADP
brj-24472	242	24	142	142	NUM
brj-24472	242	25	valid	valid	ADJ
brj-24472	242	26	questionnaires	questionnaire	NOUN
brj-24472	242	27	retained	retain	VERB
brj-24472	242	28	for	for	ADP
brj-24472	242	29	analysis	analysis	NOUN
brj-24472	242	30	.	.	PUNCT
brj-24472	243	1	table	table	NOUN
brj-24472	243	2	1	1	NUM
brj-24472	243	3	summarizes	summarize	NOUN
brj-24472	243	4	the	the	DET
brj-24472	243	5	demographic	demographic	ADJ
brj-24472	243	6	characteristics	characteristic	NOUN
brj-24472	243	7	of	of	ADP
brj-24472	243	8	respondents	respondent	NOUN
brj-24472	243	9	,	,	PUNCT
brj-24472	243	10	including	include	VERB
brj-24472	243	11	gender	gender	NOUN
brj-24472	243	12	distribution	distribution	NOUN
brj-24472	243	13	(	(	PUNCT
brj-24472	243	14	52.1	52.1	NUM
brj-24472	243	15	%	%	NOUN
brj-24472	243	16	female	female	NOUN
brj-24472	243	17	,	,	PUNCT
brj-24472	243	18	47.9	47.9	NUM
brj-24472	243	19	%	%	NOUN
brj-24472	243	20	male	male	NOUN
brj-24472	243	21	)	)	PUNCT
brj-24472	243	22	,	,	PUNCT
brj-24472	243	23	age	age	NOUN
brj-24472	243	24	groups	group	NOUN
brj-24472	243	25	(	(	PUNCT
brj-24472	243	26	18	18	NUM
brj-24472	243	27	-	-	SYM
brj-24472	243	28	25	25	NUM
brj-24472	243	29	:	:	PUNCT
brj-24472	243	30	38.7	38.7	NUM
brj-24472	243	31	%	%	NOUN
brj-24472	243	32	,	,	PUNCT
brj-24472	243	33	26	26	NUM
brj-24472	243	34	-	-	SYM
brj-24472	243	35	35	35	NUM
brj-24472	243	36	:	:	PUNCT
brj-24472	243	37	41.5	41.5	NUM
brj-24472	243	38	%	%	NOUN
brj-24472	243	39	,	,	PUNCT
brj-24472	243	40	36	36	NUM
brj-24472	243	41	-	-	SYM
brj-24472	243	42	45	45	NUM
brj-24472	243	43	:	:	PUNCT
brj-24472	243	44	19.8	19.8	NUM
brj-24472	243	45	%	%	NOUN
brj-24472	243	46	)	)	PUNCT
brj-24472	243	47	,	,	PUNCT
brj-24472	243	48	geographic	geographic	ADJ
brj-24472	243	49	regions	region	NOUN
brj-24472	243	50	(	(	PUNCT
brj-24472	243	51	first	first	ADJ
brj-24472	243	52	-	-	PUNCT
brj-24472	243	53	tier	tier	NOUN
brj-24472	243	54	cities	city	NOUN
brj-24472	243	55	:	:	PUNCT
brj-24472	243	56	63.4	63.4	NUM
brj-24472	243	57	%	%	NOUN
brj-24472	243	58	,	,	PUNCT
brj-24472	243	59	central	central	ADJ
brj-24472	243	60	/	/	SYM
brj-24472	243	61	western	western	ADJ
brj-24472	243	62	china	china	PROPN
brj-24472	243	63	:	:	PUNCT
brj-24472	243	64	36.6	36.6	NUM
brj-24472	243	65	%	%	NOUN
brj-24472	243	66	)	)	PUNCT
brj-24472	243	67	,	,	PUNCT
brj-24472	243	68	and	and	CCONJ
brj-24472	243	69	occupational	occupational	ADJ
brj-24472	243	70	categories	category	NOUN
brj-24472	243	71	(	(	PUNCT
brj-24472	243	72	students	student	NOUN
brj-24472	243	73	:	:	PUNCT
brj-24472	243	74	28.2	28.2	NUM
brj-24472	243	75	%	%	NOUN
brj-24472	243	76	,	,	PUNCT
brj-24472	243	77	professionals	professional	NOUN
brj-24472	243	78	:	:	PUNCT
brj-24472	243	79	44.4	44.4	NUM
brj-24472	243	80	%	%	NOUN
brj-24472	243	81	,	,	PUNCT
brj-24472	243	82	others	other	NOUN
brj-24472	243	83	:	:	PUNCT
brj-24472	243	84	27.4	27.4	NUM
brj-24472	243	85	%	%	NOUN
brj-24472	243	86	)	)	PUNCT
brj-24472	243	87	.	.	PUNCT
brj-24472	244	1	the	the	DET
brj-24472	244	2	mean	mean	ADJ
brj-24472	244	3	values	value	NOUN
brj-24472	244	4	of	of	ADP
brj-24472	244	5	questionnaire	questionnaire	NOUN
brj-24472	244	6	responses	response	NOUN
brj-24472	244	7	were	be	AUX
brj-24472	244	8	calculated	calculate	VERB
brj-24472	244	9	to	to	PART
brj-24472	244	10	construct	construct	VERB
brj-24472	244	11	the	the	DET
brj-24472	244	12	users	user	NOUN
brj-24472	244	13	'	'	PART
brj-24472	244	14	perception	perception	NOUN
brj-24472	244	15	and	and	CCONJ
brj-24472	244	16	satisfaction	satisfaction	NOUN
brj-24472	244	17	evaluation	evaluation	NOUN
brj-24472	244	18	matrix	matrix	NOUN
brj-24472	244	19	,	,	PUNCT
brj-24472	244	20	as	as	SCONJ
brj-24472	244	21	shown	show	VERB
brj-24472	244	22	in	in	ADP
brj-24472	244	23	table	table	NOUN
brj-24472	244	24	1	1	NUM
brj-24472	244	25	.	.	PUNCT
brj-24472	245	1	a	a	DET
brj-24472	245	2	comprehensive	comprehensive	ADJ
brj-24472	245	3	survey	survey	NOUN
brj-24472	245	4	of	of	ADP
brj-24472	245	5	142	142	NUM
brj-24472	245	6	chinese	chinese	ADJ
brj-24472	245	7	consumers	consumer	NOUN
brj-24472	245	8	was	be	AUX
brj-24472	245	9	conducted	conduct	VERB
brj-24472	245	10	to	to	PART
brj-24472	245	11	explore	explore	VERB
brj-24472	245	12	their	their	PRON
brj-24472	245	13	emotional	emotional	ADJ
brj-24472	245	14	needs	need	NOUN
brj-24472	245	15	and	and	CCONJ
brj-24472	245	16	perceptions	perception	NOUN
brj-24472	245	17	in	in	ADP
brj-24472	245	18	seating	seat	VERB
brj-24472	245	19	design	design	NOUN
brj-24472	245	20	.	.	PUNCT
brj-24472	246	1	the	the	DET
brj-24472	246	2	stratified	stratified	ADJ
brj-24472	246	3	analysis	analysis	NOUN
brj-24472	246	4	reveals	reveal	VERB
brj-24472	246	5	systematic	systematic	ADJ
brj-24472	246	6	variations	variation	NOUN
brj-24472	246	7	in	in	ADP
brj-24472	246	8	kansei	kansei	ADJ
brj-24472	246	9	responses	response	NOUN
brj-24472	246	10	across	across	ADP
brj-24472	246	11	demographic	demographic	ADJ
brj-24472	246	12	cohorts	cohort	NOUN
brj-24472	246	13	.	.	PUNCT
brj-24472	247	1	the	the	DET
brj-24472	247	2	analysis	analysis	NOUN
brj-24472	247	3	revealed	reveal	VERB
brj-24472	247	4	systematic	systematic	ADJ
brj-24472	247	5	variations	variation	NOUN
brj-24472	247	6	in	in	ADP
brj-24472	247	7	kansei	kansei	PROPN
brj-24472	247	8	(	(	PUNCT
brj-24472	247	9	aesthetic	aesthetic	ADJ
brj-24472	247	10	and	and	CCONJ
brj-24472	247	11	emotional	emotional	ADJ
brj-24472	247	12	response	response	NOUN
brj-24472	247	13	)	)	PUNCT
brj-24472	247	14	across	across	ADP
brj-24472	247	15	different	different	ADJ
brj-24472	247	16	demographic	demographic	ADJ
brj-24472	247	17	cohorts	cohort	NOUN
brj-24472	247	18	.	.	PUNCT
brj-24472	248	1	gender	gender	NOUN
brj-24472	248	2	differences	difference	NOUN
brj-24472	248	3	highlighted	highlight	VERB
brj-24472	248	4	distinct	distinct	ADJ
brj-24472	248	5	preferences	preference	NOUN
brj-24472	248	6	:	:	PUNCT
brj-24472	248	7	females	female	NOUN
brj-24472	248	8	showed	show	VERB
brj-24472	248	9	stronger	strong	ADJ
brj-24472	248	10	evaluations	evaluation	NOUN
brj-24472	248	11	for	for	ADP
brj-24472	248	12	"	"	PUNCT
brj-24472	248	13	soft	soft	ADJ
brj-24472	248	14	,	,	PUNCT
brj-24472	248	15	"	"	PUNCT
brj-24472	248	16	while	while	SCONJ
brj-24472	248	17	males	male	NOUN
brj-24472	248	18	emphasized	emphasize	VERB
brj-24472	248	19	"	"	PUNCT
brj-24472	248	20	tough	tough	ADJ
brj-24472	248	21	.	.	PUNCT
brj-24472	248	22	"	"	PUNCT
brj-24472	249	1	students	student	NOUN
brj-24472	249	2	and	and	CCONJ
brj-24472	249	3	professionals	professional	NOUN
brj-24472	249	4	exhibited	exhibit	VERB
brj-24472	249	5	differentiated	differentiated	ADJ
brj-24472	249	6	preferences	preference	NOUN
brj-24472	249	7	,	,	PUNCT
brj-24472	249	8	with	with	ADP
brj-24472	249	9	students	student	NOUN
brj-24472	249	10	valuing	value	VERB
brj-24472	249	11	"	"	PUNCT
brj-24472	249	12	creative	creative	ADJ
brj-24472	249	13	"	"	PUNCT
brj-24472	249	14	and	and	CCONJ
brj-24472	249	15	"	"	PUNCT
brj-24472	249	16	flexible	flexible	ADJ
brj-24472	249	17	,	,	PUNCT
brj-24472	249	18	"	"	PUNCT
brj-24472	249	19	and	and	CCONJ
brj-24472	249	20	professionals	professional	NOUN
brj-24472	249	21	favoring	favor	VERB
brj-24472	249	22	"	"	PUNCT
brj-24472	249	23	elegant	elegant	ADJ
brj-24472	249	24	"	"	PUNCT
brj-24472	249	25	and	and	CCONJ
brj-24472	249	26	"	"	PUNCT
brj-24472	249	27	traditional	traditional	ADJ
brj-24472	249	28	.	.	PUNCT
brj-24472	249	29	"	"	PUNCT
brj-24472	249	30	manual	manual	ADJ
brj-24472	249	31	workers	worker	NOUN
brj-24472	249	32	'	'	PART
brj-24472	249	33	unique	unique	ADJ
brj-24472	249	34	association	association	NOUN
brj-24472	249	35	with	with	ADP
brj-24472	249	36	"	"	PUNCT
brj-24472	249	37	ancient	ancient	ADJ
brj-24472	249	38	"	"	PUNCT
brj-24472	249	39	materials	material	NOUN
brj-24472	249	40	suggests	suggest	VERB
brj-24472	249	41	a	a	DET
brj-24472	249	42	cultural	cultural	ADJ
brj-24472	249	43	and	and	CCONJ
brj-24472	249	44	emotional	emotional	ADJ
brj-24472	249	45	connection	connection	NOUN
brj-24472	249	46	to	to	ADP
brj-24472	249	47	traditional	traditional	ADJ
brj-24472	249	48	craftsmanship	craftsmanship	NOUN
brj-24472	249	49	.	.	PUNCT
brj-24472	250	1	additionally	additionally	ADV
brj-24472	250	2	,	,	PUNCT
brj-24472	250	3	urban	urban	ADJ
brj-24472	250	4	hierarchy	hierarchy	NOUN
brj-24472	250	5	contrasts	contrast	VERB
brj-24472	250	6	peer	peer	NOUN
brj-24472	250	7	-	-	PUNCT
brj-24472	250	8	reviewed	review	VERB
brj-24472	250	9	article	article	NOUN
brj-24472	250	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	250	11	huang	huang	PROPN
brj-24472	250	12	et	et	PROPN
brj-24472	250	13	al	al	PROPN
brj-24472	250	14	.	.	PROPN
brj-24472	251	1	(	(	PUNCT
brj-24472	251	2	2025	2025	NUM
brj-24472	251	3	)	)	PUNCT
brj-24472	251	4	.	.	PUNCT
brj-24472	252	1	“	"	PUNCT
brj-24472	252	2	bamboo	bamboo	NOUN
brj-24472	252	3	furniture	furniture	NOUN
brj-24472	252	4	design	design	NOUN
brj-24472	252	5	,	,	PUNCT
brj-24472	252	6	”	"	PUNCT
brj-24472	252	7	bioresources	bioresource	NOUN
brj-24472	252	8	20(3	20(3	NOUN
brj-24472	252	9	)	)	PUNCT
brj-24472	252	10	,	,	PUNCT
brj-24472	252	11	7107	7107	NUM
brj-24472	252	12	-	-	SYM
brj-24472	252	13	7133	7133	NUM
brj-24472	252	14	.	.	PUNCT
brj-24472	253	1	7119	7119	NUM
brj-24472	253	2	revealed	reveal	VERB
brj-24472	253	3	modernization	modernization	NOUN
brj-24472	253	4	gradients	gradient	NOUN
brj-24472	253	5	,	,	PUNCT
brj-24472	253	6	with	with	ADP
brj-24472	253	7	first	first	ADJ
brj-24472	253	8	-	-	PUNCT
brj-24472	253	9	tier	tier	NOUN
brj-24472	253	10	city	city	NOUN
brj-24472	253	11	residents	resident	NOUN
brj-24472	253	12	showing	show	VERB
brj-24472	253	13	stronger	strong	ADJ
brj-24472	253	14	connections	connection	NOUN
brj-24472	253	15	between	between	ADP
brj-24472	253	16	"	"	PUNCT
brj-24472	253	17	creative	creative	ADJ
brj-24472	253	18	"	"	PUNCT
brj-24472	253	19	and	and	CCONJ
brj-24472	253	20	"	"	PUNCT
brj-24472	253	21	elegant	elegant	ADJ
brj-24472	253	22	,	,	PUNCT
brj-24472	253	23	"	"	PUNCT
brj-24472	253	24	aligning	align	VERB
brj-24472	253	25	with	with	ADP
brj-24472	253	26	globalized	globalized	ADJ
brj-24472	253	27	design	design	NOUN
brj-24472	253	28	trends	trend	NOUN
brj-24472	253	29	,	,	PUNCT
brj-24472	253	30	while	while	SCONJ
brj-24472	253	31	second	second	ADJ
brj-24472	253	32	-	-	PUNCT
brj-24472	253	33	tier	tier	NOUN
brj-24472	253	34	residents	resident	NOUN
brj-24472	253	35	preserved	preserve	VERB
brj-24472	253	36	"	"	PUNCT
brj-24472	253	37	traditional	traditional	ADJ
brj-24472	253	38	"	"	PUNCT
brj-24472	253	39	and	and	CCONJ
brj-24472	253	40	"	"	PUNCT
brj-24472	253	41	ancient	ancient	ADJ
brj-24472	253	42	"	"	PUNCT
brj-24472	253	43	aesthetics	aesthetic	NOUN
brj-24472	253	44	.	.	PUNCT
brj-24472	254	1	the	the	DET
brj-24472	254	2	above	above	ADJ
brj-24472	254	3	research	research	NOUN
brj-24472	254	4	has	have	AUX
brj-24472	254	5	identified	identify	VERB
brj-24472	254	6	heterogeneity	heterogeneity	NOUN
brj-24472	254	7	in	in	ADP
brj-24472	254	8	the	the	DET
brj-24472	254	9	emotional	emotional	ADJ
brj-24472	254	10	needs	need	NOUN
brj-24472	254	11	of	of	ADP
brj-24472	254	12	different	different	ADJ
brj-24472	254	13	groups	group	NOUN
brj-24472	254	14	,	,	PUNCT
brj-24472	254	15	so	so	SCONJ
brj-24472	254	16	there	there	PRON
brj-24472	254	17	is	be	VERB
brj-24472	254	18	a	a	DET
brj-24472	254	19	need	need	NOUN
brj-24472	254	20	to	to	PART
brj-24472	254	21	continue	continue	VERB
brj-24472	254	22	to	to	PART
brj-24472	254	23	gain	gain	VERB
brj-24472	254	24	insight	insight	NOUN
brj-24472	254	25	and	and	CCONJ
brj-24472	254	26	extract	extract	VERB
brj-24472	254	27	key	key	ADJ
brj-24472	254	28	emotional	emotional	ADJ
brj-24472	254	29	needs	need	NOUN
brj-24472	254	30	based	base	VERB
brj-24472	254	31	on	on	ADP
brj-24472	254	32	the	the	DET
brj-24472	254	33	above	above	NOUN
brj-24472	254	34	to	to	PART
brj-24472	254	35	inform	inform	VERB
brj-24472	254	36	the	the	DET
brj-24472	254	37	design	design	NOUN
brj-24472	254	38	process	process	NOUN
brj-24472	254	39	and	and	CCONJ
brj-24472	254	40	close	close	VERB
brj-24472	254	41	the	the	DET
brj-24472	254	42	gap	gap	NOUN
brj-24472	254	43	between	between	ADP
brj-24472	254	44	consumer	consumer	NOUN
brj-24472	254	45	expectations	expectation	NOUN
brj-24472	254	46	and	and	CCONJ
brj-24472	254	47	product	product	NOUN
brj-24472	254	48	design	design	NOUN
brj-24472	254	49	.	.	PUNCT
brj-24472	255	1	the	the	DET
brj-24472	255	2	optimal	optimal	ADJ
brj-24472	255	3	emotional	emotional	ADJ
brj-24472	255	4	needs	need	NOUN
brj-24472	255	5	of	of	ADP
brj-24472	255	6	users	user	NOUN
brj-24472	255	7	extracted	extract	VERB
brj-24472	255	8	by	by	ADP
brj-24472	255	9	rough	rough	ADJ
brj-24472	255	10	set	set	NOUN
brj-24472	255	11	theory	theory	NOUN
brj-24472	255	12	by	by	ADP
brj-24472	255	13	identifying	identify	VERB
brj-24472	255	14	the	the	DET
brj-24472	255	15	emotional	emotional	ADJ
brj-24472	255	16	needs	need	NOUN
brj-24472	255	17	that	that	PRON
brj-24472	255	18	have	have	VERB
brj-24472	255	19	a	a	DET
brj-24472	255	20	significant	significant	ADJ
brj-24472	255	21	impact	impact	NOUN
brj-24472	255	22	on	on	ADP
brj-24472	255	23	users	user	NOUN
brj-24472	255	24	’	'	PUNCT
brj-24472	255	25	satisfaction	satisfaction	NOUN
brj-24472	255	26	,	,	PUNCT
brj-24472	255	27	the	the	DET
brj-24472	255	28	emotional	emotional	ADJ
brj-24472	255	29	factors	factor	NOUN
brj-24472	255	30	that	that	PRON
brj-24472	255	31	do	do	AUX
brj-24472	255	32	not	not	PART
brj-24472	255	33	have	have	VERB
brj-24472	255	34	a	a	DET
brj-24472	255	35	significant	significant	ADJ
brj-24472	255	36	impact	impact	NOUN
brj-24472	255	37	on	on	ADP
brj-24472	255	38	users	user	NOUN
brj-24472	255	39	’	'	PUNCT
brj-24472	255	40	satisfaction	satisfaction	NOUN
brj-24472	255	41	can	can	AUX
brj-24472	255	42	be	be	AUX
brj-24472	255	43	effectively	effectively	ADV
brj-24472	255	44	reduced	reduce	VERB
brj-24472	255	45	.	.	PUNCT
brj-24472	256	1	this	this	DET
brj-24472	256	2	process	process	NOUN
brj-24472	256	3	not	not	PART
brj-24472	256	4	only	only	ADV
brj-24472	256	5	simplifies	simplify	VERB
brj-24472	256	6	the	the	DET
brj-24472	256	7	complexity	complexity	NOUN
brj-24472	256	8	of	of	ADP
brj-24472	256	9	data	datum	NOUN
brj-24472	256	10	analysis	analysis	NOUN
brj-24472	256	11	but	but	CCONJ
brj-24472	256	12	also	also	ADV
brj-24472	256	13	improves	improve	VERB
brj-24472	256	14	the	the	DET
brj-24472	256	15	efficiency	efficiency	NOUN
brj-24472	256	16	and	and	CCONJ
brj-24472	256	17	accuracy	accuracy	NOUN
brj-24472	256	18	of	of	ADP
brj-24472	256	19	the	the	DET
brj-24472	256	20	model	model	NOUN
brj-24472	256	21	.	.	PUNCT
brj-24472	257	1	in	in	ADP
brj-24472	257	2	actual	actual	ADJ
brj-24472	257	3	operation	operation	NOUN
brj-24472	257	4	,	,	PUNCT
brj-24472	257	5	spss	spss	PROPN
brj-24472	257	6	software	software	PROPN
brj-24472	257	7	was	be	AUX
brj-24472	257	8	used	use	VERB
brj-24472	257	9	in	in	ADP
brj-24472	257	10	this	this	DET
brj-24472	257	11	study	study	NOUN
brj-24472	257	12	to	to	PART
brj-24472	257	13	process	process	VERB
brj-24472	257	14	the	the	DET
brj-24472	257	15	data	datum	NOUN
brj-24472	257	16	in	in	ADP
brj-24472	257	17	table	table	NOUN
brj-24472	257	18	2	2	NUM
brj-24472	257	19	by	by	ADP
brj-24472	257	20	binning	bin	VERB
brj-24472	257	21	process	process	NOUN
brj-24472	257	22	.	.	PUNCT
brj-24472	258	1	the	the	DET
brj-24472	258	2	first	first	ADJ
brj-24472	258	3	interval	interval	NOUN
brj-24472	258	4	was	be	AUX
brj-24472	258	5	defined	define	VERB
brj-24472	258	6	as	as	ADP
brj-24472	258	7	discrete	discrete	ADJ
brj-24472	258	8	value	value	NOUN
brj-24472	258	9	1	1	NUM
brj-24472	258	10	;	;	PUNCT
brj-24472	258	11	the	the	DET
brj-24472	258	12	second	second	ADJ
brj-24472	258	13	interval	interval	NOUN
brj-24472	258	14	was	be	AUX
brj-24472	258	15	defined	define	VERB
brj-24472	258	16	as	as	ADP
brj-24472	258	17	the	the	DET
brj-24472	258	18	discrete	discrete	ADJ
brj-24472	258	19	value	value	NOUN
brj-24472	258	20	2	2	NUM
brj-24472	258	21	and	and	CCONJ
brj-24472	258	22	the	the	DET
brj-24472	258	23	third	third	ADJ
brj-24472	258	24	interval	interval	NOUN
brj-24472	258	25	was	be	AUX
brj-24472	258	26	defined	define	VERB
brj-24472	258	27	as	as	ADP
brj-24472	258	28	the	the	DET
brj-24472	258	29	discrete	discrete	ADJ
brj-24472	258	30	value	value	NOUN
brj-24472	258	31	3	3	NUM
brj-24472	258	32	.	.	PUNCT
brj-24472	259	1	the	the	DET
brj-24472	259	2	binning	bin	VERB
brj-24472	259	3	processing	processing	NOUN
brj-24472	259	4	interval	interval	NOUN
brj-24472	259	5	is	be	AUX
brj-24472	259	6	shown	show	VERB
brj-24472	259	7	in	in	ADP
brj-24472	259	8	table	table	NOUN
brj-24472	259	9	3	3	NUM
brj-24472	259	10	.	.	PUNCT
brj-24472	260	1	a	a	DET
brj-24472	260	2	decision	decision	NOUN
brj-24472	260	3	table	table	NOUN
brj-24472	260	4	containing	contain	VERB
brj-24472	260	5	8	8	NUM
brj-24472	260	6	kinds	kind	NOUN
brj-24472	260	7	of	of	ADP
brj-24472	260	8	emotional	emotional	ADJ
brj-24472	260	9	needs	need	NOUN
brj-24472	260	10	and	and	CCONJ
brj-24472	260	11	satisfaction	satisfaction	NOUN
brj-24472	260	12	was	be	AUX
brj-24472	260	13	established	establish	VERB
brj-24472	260	14	,	,	PUNCT
brj-24472	260	15	in	in	ADP
brj-24472	260	16	which	which	PRON
brj-24472	260	17	the	the	DET
brj-24472	260	18	kansei	kansei	NOUN
brj-24472	260	19	needs	need	NOUN
brj-24472	260	20	are	be	AUX
brj-24472	260	21	conditional	conditional	ADJ
brj-24472	260	22	attributes	attribute	NOUN
brj-24472	260	23	,	,	PUNCT
brj-24472	260	24	and	and	CCONJ
brj-24472	260	25	the	the	DET
brj-24472	260	26	users	user	NOUN
brj-24472	260	27	’	'	PUNCT
brj-24472	260	28	satisfaction	satisfaction	NOUN
brj-24472	260	29	is	be	AUX
brj-24472	260	30	the	the	DET
brj-24472	260	31	decision	decision	NOUN
brj-24472	260	32	attribute	attribute	NOUN
brj-24472	260	33	,	,	PUNCT
brj-24472	260	34	as	as	SCONJ
brj-24472	260	35	shown	show	VERB
brj-24472	260	36	in	in	ADP
brj-24472	260	37	table	table	NOUN
brj-24472	260	38	4	4	NUM
brj-24472	260	39	.	.	PUNCT
brj-24472	260	40	peer	peer	NOUN
brj-24472	260	41	-	-	PUNCT
brj-24472	260	42	reviewed	review	VERB
brj-24472	260	43	article	article	NOUN
brj-24472	260	44	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	260	45	huang	huang	PROPN
brj-24472	260	46	et	et	PROPN
brj-24472	260	47	al	al	PROPN
brj-24472	260	48	.	.	PROPN
brj-24472	261	1	(	(	PUNCT
brj-24472	261	2	2025	2025	NUM
brj-24472	261	3	)	)	PUNCT
brj-24472	261	4	.	.	PUNCT
brj-24472	262	1	“	"	PUNCT
brj-24472	262	2	bamboo	bamboo	NOUN
brj-24472	262	3	furniture	furniture	NOUN
brj-24472	262	4	design	design	NOUN
brj-24472	262	5	,	,	PUNCT
brj-24472	262	6	”	"	PUNCT
brj-24472	262	7	bioresources	bioresource	NOUN
brj-24472	262	8	20(3	20(3	NOUN
brj-24472	262	9	)	)	PUNCT
brj-24472	262	10	,	,	PUNCT
brj-24472	262	11	7107	7107	NUM
brj-24472	262	12	-	-	SYM
brj-24472	262	13	7133	7133	NUM
brj-24472	262	14	.	.	PUNCT
brj-24472	263	1	7120	7120	NUM
brj-24472	263	2	table	table	NOUN
brj-24472	263	3	2	2	NUM
brj-24472	263	4	.	.	PUNCT
brj-24472	264	1	the	the	DET
brj-24472	264	2	users	user	NOUN
brj-24472	264	3	’	’	PART
brj-24472	264	4	perception	perception	NOUN
brj-24472	264	5	and	and	CCONJ
brj-24472	264	6	satisfaction	satisfaction	NOUN
brj-24472	264	7	evaluation	evaluation	NOUN
brj-24472	264	8	matrix	matrix	NOUN
brj-24472	264	9	no	no	INTJ
brj-24472	264	10	.	.	PUNCT
brj-24472	265	1	simple	simple	ADJ
brj-24472	265	2	creative	creative	ADJ
brj-24472	265	3	soft	soft	ADJ
brj-24472	265	4	flexible	flexible	ADJ
brj-24472	265	5	tough	tough	ADJ
brj-24472	265	6	elegant	elegant	ADJ
brj-24472	265	7	traditional	traditional	ADJ
brj-24472	265	8	ancient	ancient	ADJ
brj-24472	265	9	satisfaction	satisfaction	NOUN
brj-24472	265	10	1	1	NUM
brj-24472	265	11	3.225	3.225	NUM
brj-24472	265	12	3.713	3.713	NUM
brj-24472	265	13	3.960	3.960	NUM
brj-24472	265	14	4.120	4.120	NUM
brj-24472	265	15	4.040	4.040	NUM
brj-24472	265	16	4.160	4.160	NUM
brj-24472	265	17	3.213	3.213	NUM
brj-24472	265	18	3.140	3.140	NUM
brj-24472	265	19	4.040	4.040	NUM
brj-24472	265	20	2	2	NUM
brj-24472	265	21	3.688	3.688	NUM
brj-24472	265	22	3.150	3.150	NUM
brj-24472	265	23	3.680	3.680	NUM
brj-24472	265	24	4.080	4.080	NUM
brj-24472	265	25	4.160	4.160	NUM
brj-24472	265	26	3.640	3.640	NUM
brj-24472	265	27	3.163	3.163	NUM
brj-24472	265	28	3.650	3.650	NUM
brj-24472	265	29	4.040	4.040	NUM
brj-24472	265	30	3	3	NUM
brj-24472	265	31	3.750	3.750	NUM
brj-24472	265	32	3.738	3.738	NUM
brj-24472	265	33	4.240	4.240	NUM
brj-24472	265	34	4.280	4.280	NUM
brj-24472	265	35	3.840	3.840	NUM
brj-24472	265	36	3.800	3.800	NUM
brj-24472	265	37	3.788	3.788	NUM
brj-24472	265	38	3.460	3.460	NUM
brj-24472	265	39	4.400	4.400	NUM
brj-24472	265	40	…	…	PUNCT
brj-24472	265	41	…	…	PUNCT
brj-24472	265	42	…	…	PUNCT
brj-24472	265	43	…	…	PUNCT
brj-24472	265	44	…	…	PUNCT
brj-24472	265	45	…	…	PUNCT
brj-24472	265	46	…	…	PUNCT
brj-24472	265	47	…	…	PUNCT
brj-24472	265	48	…	…	PUNCT
brj-24472	265	49	…	…	PUNCT
brj-24472	265	50	…	…	PUNCT
brj-24472	265	51	…	…	PUNCT
brj-24472	265	52	…	…	PUNCT
brj-24472	265	53	…	…	PUNCT
brj-24472	265	54	…	…	PUNCT
brj-24472	265	55	…	…	PUNCT
brj-24472	265	56	…	…	PUNCT
brj-24472	265	57	…	…	PUNCT
brj-24472	265	58	48	48	NUM
brj-24472	265	59	3.050	3.050	NUM
brj-24472	265	60	3.800	3.800	NUM
brj-24472	265	61	4.000	4.000	NUM
brj-24472	265	62	4.200	4.200	NUM
brj-24472	265	63	4.160	4.160	NUM
brj-24472	265	64	4.000	4.000	NUM
brj-24472	265	65	3.213	3.213	NUM
brj-24472	265	66	3.710	3.710	NUM
brj-24472	265	67	3.760	3.760	NUM
brj-24472	265	68	49	49	NUM
brj-24472	265	69	3.013	3.013	NUM
brj-24472	265	70	3.675	3.675	NUM
brj-24472	265	71	4.040	4.040	NUM
brj-24472	265	72	4.640	4.640	NUM
brj-24472	265	73	4.520	4.520	NUM
brj-24472	265	74	4.240	4.240	NUM
brj-24472	265	75	3.125	3.125	NUM
brj-24472	265	76	3.750	3.750	NUM
brj-24472	265	77	4.160	4.160	NUM
brj-24472	265	78	50	50	NUM
brj-24472	265	79	3.213	3.213	NUM
brj-24472	265	80	3.225	3.225	NUM
brj-24472	265	81	4.400	4.400	NUM
brj-24472	265	82	4.400	4.400	NUM
brj-24472	265	83	4.280	4.280	NUM
brj-24472	265	84	4.440	4.440	NUM
brj-24472	265	85	3.763	3.763	NUM
brj-24472	265	86	3.720	3.720	NUM
brj-24472	265	87	4.080	4.080	NUM
brj-24472	265	88	table	table	NOUN
brj-24472	265	89	3	3	NUM
brj-24472	265	90	.	.	PUNCT
brj-24472	265	91	data	datum	NOUN
brj-24472	265	92	interval	interval	NOUN
brj-24472	265	93	separation	separation	NOUN
brj-24472	265	94	first	first	ADJ
brj-24472	265	95	interval	interval	NOUN
brj-24472	265	96	3.0125	3.0125	NUM
brj-24472	265	97	-	-	SYM
brj-24472	265	98	3.28	3.28	NUM
brj-24472	265	99	3.1	3.1	NUM
brj-24472	265	100	-	-	SYM
brj-24472	265	101	3.45	3.45	NUM
brj-24472	265	102	3.52	3.52	NUM
brj-24472	265	103	-	-	SYM
brj-24472	265	104	3.97	3.97	NUM
brj-24472	265	105	3.4	3.4	NUM
brj-24472	265	106	-	-	SYM
brj-24472	265	107	3.86	3.86	NUM
brj-24472	265	108	3.48	3.48	NUM
brj-24472	265	109	-	-	SYM
brj-24472	265	110	3.96	3.96	NUM
brj-24472	265	111	3.24	3.24	NUM
brj-24472	265	112	-	-	SYM
brj-24472	265	113	3.68	3.68	NUM
brj-24472	265	114	3.125	3.125	NUM
brj-24472	265	115	-	-	SYM
brj-24472	265	116	3.36	3.36	NUM
brj-24472	265	117	3.02	3.02	NUM
brj-24472	265	118	-	-	NUM
brj-24472	265	119	3.64	3.64	NUM
brj-24472	265	120	3.24	3.24	NUM
brj-24472	265	121	-	-	SYM
brj-24472	265	122	3.90	3.90	NUM
brj-24472	265	123	second	second	ADJ
brj-24472	265	124	interval	interval	NOUN
brj-24472	265	125	3.28	3.28	NUM
brj-24472	265	126	-	-	SYM
brj-24472	265	127	3.55	3.55	NUM
brj-24472	265	128	3.45	3.45	NUM
brj-24472	265	129	-	-	SYM
brj-24472	265	130	3.80	3.80	NUM
brj-24472	265	131	3.97	3.97	NUM
brj-24472	265	132	-	-	SYM
brj-24472	265	133	4.42	4.42	NUM
brj-24472	265	134	3.86	3.86	NUM
brj-24472	265	135	-	-	SYM
brj-24472	265	136	4.33	4.33	NUM
brj-24472	265	137	3.96	3.96	NUM
brj-24472	265	138	-	-	SYM
brj-24472	265	139	4.44	4.44	NUM
brj-24472	265	140	3.68	3.68	NUM
brj-24472	265	141	-	-	SYM
brj-24472	265	142	4.12	4.12	NUM
brj-24472	265	143	3.36	3.36	NUM
brj-24472	265	144	-	-	SYM
brj-24472	265	145	3.6	3.6	NUM
brj-24472	265	146	3.64	3.64	NUM
brj-24472	265	147	-	-	SYM
brj-24472	265	148	4.26	4.26	NUM
brj-24472	265	149	3.9	3.9	NUM
brj-24472	265	150	-	-	SYM
brj-24472	265	151	4.57	4.57	NUM
brj-24472	265	152	third	third	ADJ
brj-24472	265	153	interval	interval	NOUN
brj-24472	265	154	3.55	3.55	NUM
brj-24472	265	155	-	-	SYM
brj-24472	265	156	3.825	3.825	NUM
brj-24472	265	157	3.80	3.80	NUM
brj-24472	265	158	-	-	SYM
brj-24472	265	159	4.16	4.16	NUM
brj-24472	265	160	4.42	4.42	NUM
brj-24472	265	161	-	-	SYM
brj-24472	265	162	4.88	4.88	NUM
brj-24472	265	163	4.33	4.33	NUM
brj-24472	265	164	-	-	SYM
brj-24472	265	165	4.8	4.8	NUM
brj-24472	265	166	4.44	4.44	NUM
brj-24472	265	167	-	-	SYM
brj-24472	265	168	4.92	4.92	NUM
brj-24472	265	169	4.12	4.12	NUM
brj-24472	265	170	-	-	SYM
brj-24472	265	171	4.56	4.56	NUM
brj-24472	265	172	3.6	3.6	NUM
brj-24472	265	173	-	-	SYM
brj-24472	265	174	3.83	3.83	NUM
brj-24472	265	175	4.26	4.26	NUM
brj-24472	265	176	-	-	SYM
brj-24472	265	177	4.88	4.88	NUM
brj-24472	265	178	4.57	4.57	NUM
brj-24472	265	179	-	-	SYM
brj-24472	265	180	5.24	5.24	NUM
brj-24472	265	181	table	table	NOUN
brj-24472	265	182	4	4	NUM
brj-24472	265	183	.	.	PUNCT
brj-24472	265	184	rough	rough	ADJ
brj-24472	265	185	set	set	NOUN
brj-24472	265	186	theory	theory	NOUN
brj-24472	265	187	decision	decision	NOUN
brj-24472	265	188	attribute	attribute	NOUN
brj-24472	265	189	matrix	matrix	NOUN
brj-24472	265	190	no	no	INTJ
brj-24472	265	191	.	.	PUNCT
brj-24472	266	1	simple	simple	ADJ
brj-24472	266	2	creative	creative	ADJ
brj-24472	266	3	soft	soft	ADJ
brj-24472	266	4	flexible	flexible	ADJ
brj-24472	266	5	tough	tough	ADJ
brj-24472	266	6	elegant	elegant	ADJ
brj-24472	266	7	traditional	traditional	ADJ
brj-24472	266	8	ancient	ancient	ADJ
brj-24472	266	9	satisfaction	satisfaction	NOUN
brj-24472	266	10	1	1	NUM
brj-24472	266	11	1	1	NUM
brj-24472	266	12	2	2	NUM
brj-24472	266	13	1	1	NUM
brj-24472	266	14	2	2	NUM
brj-24472	266	15	2	2	NUM
brj-24472	266	16	3	3	NUM
brj-24472	266	17	1	1	NUM
brj-24472	266	18	1	1	NUM
brj-24472	266	19	2	2	NUM
brj-24472	266	20	2	2	NUM
brj-24472	266	21	3	3	NUM
brj-24472	266	22	1	1	NUM
brj-24472	266	23	1	1	NUM
brj-24472	266	24	2	2	NUM
brj-24472	266	25	2	2	NUM
brj-24472	266	26	1	1	NUM
brj-24472	266	27	1	1	NUM
brj-24472	266	28	1	1	NUM
brj-24472	266	29	2	2	NUM
brj-24472	266	30	3	3	NUM
brj-24472	266	31	3	3	NUM
brj-24472	266	32	2	2	NUM
brj-24472	266	33	2	2	NUM
brj-24472	266	34	2	2	NUM
brj-24472	266	35	1	1	NUM
brj-24472	266	36	2	2	NUM
brj-24472	266	37	3	3	NUM
brj-24472	266	38	3	3	NUM
brj-24472	266	39	2	2	NUM
brj-24472	266	40	…	…	PUNCT
brj-24472	266	41	…	…	PUNCT
brj-24472	266	42	…	…	PUNCT
brj-24472	266	43	…	…	PUNCT
brj-24472	266	44	…	…	PUNCT
brj-24472	266	45	…	…	PUNCT
brj-24472	266	46	…	…	PUNCT
brj-24472	266	47	…	…	PUNCT
brj-24472	266	48	…	…	PUNCT
brj-24472	266	49	…	…	PUNCT
brj-24472	266	50	…	…	PUNCT
brj-24472	266	51	…	…	PUNCT
brj-24472	266	52	…	…	PUNCT
brj-24472	266	53	…	…	PUNCT
brj-24472	266	54	…	…	PUNCT
brj-24472	266	55	…	…	PUNCT
brj-24472	266	56	…	…	PUNCT
brj-24472	266	57	…	…	PUNCT
brj-24472	266	58	…	…	PUNCT
brj-24472	266	59	…	…	PUNCT
brj-24472	266	60	48	48	NUM
brj-24472	266	61	1	1	NUM
brj-24472	266	62	2	2	NUM
brj-24472	266	63	2	2	NUM
brj-24472	266	64	2	2	NUM
brj-24472	266	65	2	2	NUM
brj-24472	266	66	2	2	NUM
brj-24472	266	67	1	1	NUM
brj-24472	266	68	1	1	NUM
brj-24472	266	69	1	1	NUM
brj-24472	266	70	49	49	NUM
brj-24472	266	71	1	1	NUM
brj-24472	266	72	2	2	NUM
brj-24472	266	73	2	2	NUM
brj-24472	266	74	3	3	NUM
brj-24472	266	75	3	3	NUM
brj-24472	266	76	3	3	NUM
brj-24472	266	77	1	1	NUM
brj-24472	266	78	1	1	NUM
brj-24472	266	79	2	2	NUM
brj-24472	266	80	50	50	NUM
brj-24472	266	81	1	1	NUM
brj-24472	266	82	1	1	NUM
brj-24472	266	83	2	2	NUM
brj-24472	266	84	3	3	NUM
brj-24472	266	85	2	2	NUM
brj-24472	266	86	3	3	NUM
brj-24472	266	87	3	3	NUM
brj-24472	266	88	3	3	NUM
brj-24472	266	89	2	2	NUM
brj-24472	266	90	table	table	NOUN
brj-24472	266	91	5	5	NUM
brj-24472	266	92	.	.	PUNCT
brj-24472	266	93	weighting	weighting	NOUN
brj-24472	266	94	of	of	ADP
brj-24472	266	95	perceptual	perceptual	ADJ
brj-24472	266	96	needs	need	NOUN
brj-24472	266	97	kansei	kansei	VERB
brj-24472	266	98	words	word	NOUN
brj-24472	266	99	weight	weight	NOUN
brj-24472	266	100	kansei	kansei	VERB
brj-24472	266	101	words	word	NOUN
brj-24472	266	102	weight	weight	NOUN
brj-24472	266	103	simple	simple	ADJ
brj-24472	266	104	0	0	NUM
brj-24472	266	105	creative	creative	ADJ
brj-24472	266	106	0	0	NUM
brj-24472	266	107	soft	soft	ADJ
brj-24472	266	108	0.105263157894737	0.105263157894737	NUM
brj-24472	266	109	flexible	flexible	ADJ
brj-24472	266	110	0.157894736842105	0.157894736842105	NUM
brj-24472	266	111	tough	tough	ADJ
brj-24472	266	112	0.368421052631579	0.368421052631579	NUM
brj-24472	266	113	elegant	elegant	ADJ
brj-24472	266	114	0.368421052631579	0.368421052631579	NUM
brj-24472	266	115	traditional	traditional	ADJ
brj-24472	266	116	0	0	NUM
brj-24472	266	117	ancient	ancient	ADJ
brj-24472	266	118	0	0	NUM
brj-24472	266	119	peer	peer	NOUN
brj-24472	266	120	-	-	PUNCT
brj-24472	266	121	reviewed	review	VERB
brj-24472	266	122	article	article	NOUN
brj-24472	266	123	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	266	124	huang	huang	PROPN
brj-24472	266	125	et	et	PROPN
brj-24472	266	126	al	al	PROPN
brj-24472	266	127	.	.	PROPN
brj-24472	267	1	(	(	PUNCT
brj-24472	267	2	2025	2025	NUM
brj-24472	267	3	)	)	PUNCT
brj-24472	267	4	.	.	PUNCT
brj-24472	268	1	“	"	PUNCT
brj-24472	268	2	bamboo	bamboo	NOUN
brj-24472	268	3	furniture	furniture	NOUN
brj-24472	268	4	design	design	NOUN
brj-24472	268	5	,	,	PUNCT
brj-24472	268	6	”	"	PUNCT
brj-24472	268	7	bioresources	bioresource	NOUN
brj-24472	268	8	20(3	20(3	NOUN
brj-24472	268	9	)	)	PUNCT
brj-24472	268	10	,	,	PUNCT
brj-24472	268	11	7107	7107	NUM
brj-24472	268	12	-	-	SYM
brj-24472	268	13	7133	7133	NUM
brj-24472	268	14	.	.	PUNCT
brj-24472	269	1	7121	7121	NUM
brj-24472	269	2	on	on	ADP
brj-24472	269	3	this	this	DET
brj-24472	269	4	basis	basis	NOUN
brj-24472	269	5	,	,	PUNCT
brj-24472	269	6	the	the	DET
brj-24472	269	7	software	software	NOUN
brj-24472	269	8	platform	platform	NOUN
brj-24472	269	9	matlab	matlab	PROPN
brj-24472	269	10	2022rb	2022rb	PROPN
brj-24472	269	11	was	be	AUX
brj-24472	269	12	used	use	VERB
brj-24472	269	13	in	in	ADP
brj-24472	269	14	this	this	DET
brj-24472	269	15	study	study	NOUN
brj-24472	269	16	to	to	PART
brj-24472	269	17	screen	screen	VERB
brj-24472	269	18	out	out	ADP
brj-24472	269	19	the	the	DET
brj-24472	269	20	kansei	kansei	ADJ
brj-24472	269	21	needs	need	NOUN
brj-24472	269	22	that	that	PRON
brj-24472	269	23	have	have	VERB
brj-24472	269	24	an	an	DET
brj-24472	269	25	important	important	ADJ
brj-24472	269	26	impact	impact	NOUN
brj-24472	269	27	on	on	ADP
brj-24472	269	28	users	user	NOUN
brj-24472	269	29	’	'	PUNCT
brj-24472	269	30	satisfaction	satisfaction	NOUN
brj-24472	269	31	through	through	ADP
brj-24472	269	32	the	the	DET
brj-24472	269	33	attribute	attribute	NOUN
brj-24472	269	34	reduction	reduction	NOUN
brj-24472	269	35	algorithm	algorithm	NOUN
brj-24472	269	36	of	of	ADP
brj-24472	269	37	rst	rst	PROPN
brj-24472	269	38	.	.	PUNCT
brj-24472	270	1	the	the	DET
brj-24472	270	2	weight	weight	NOUN
brj-24472	270	3	value	value	NOUN
brj-24472	270	4	of	of	ADP
brj-24472	270	5	each	each	DET
brj-24472	270	6	emotional	emotional	ADJ
brj-24472	270	7	demand	demand	NOUN
brj-24472	270	8	is	be	AUX
brj-24472	270	9	shown	show	VERB
brj-24472	270	10	in	in	ADP
brj-24472	270	11	table	table	NOUN
brj-24472	270	12	5	5	NUM
brj-24472	270	13	.	.	PUNCT
brj-24472	270	14	through	through	ADP
brj-24472	270	15	the	the	DET
brj-24472	270	16	comprehensive	comprehensive	ADJ
brj-24472	270	17	consideration	consideration	NOUN
brj-24472	270	18	of	of	ADP
brj-24472	270	19	expert	expert	NOUN
brj-24472	270	20	group	group	NOUN
brj-24472	270	21	,	,	PUNCT
brj-24472	270	22	the	the	DET
brj-24472	270	23	emotional	emotional	ADJ
brj-24472	270	24	needs	need	NOUN
brj-24472	270	25	that	that	PRON
brj-24472	270	26	have	have	VERB
brj-24472	270	27	an	an	DET
brj-24472	270	28	impact	impact	NOUN
brj-24472	270	29	on	on	ADP
brj-24472	270	30	consumers	consumer	NOUN
brj-24472	270	31	’	'	PUNCT
brj-24472	270	32	satisfaction	satisfaction	NOUN
brj-24472	270	33	were	be	AUX
brj-24472	270	34	retained	retain	VERB
brj-24472	270	35	,	,	PUNCT
brj-24472	270	36	namely	namely	ADV
brj-24472	270	37	soft	soft	ADJ
brj-24472	270	38	,	,	PUNCT
brj-24472	270	39	elegant	elegant	ADJ
brj-24472	270	40	,	,	PUNCT
brj-24472	270	41	tough	tough	ADJ
brj-24472	270	42	and	and	CCONJ
brj-24472	270	43	flexible	flexible	ADJ
brj-24472	270	44	.	.	PUNCT
brj-24472	271	1	this	this	DET
brj-24472	271	2	process	process	NOUN
brj-24472	271	3	helps	help	VERB
brj-24472	271	4	this	this	DET
brj-24472	271	5	study	study	NOUN
brj-24472	271	6	focus	focus	VERB
brj-24472	271	7	on	on	ADP
brj-24472	271	8	key	key	ADJ
brj-24472	271	9	emotional	emotional	ADJ
brj-24472	271	10	needs	need	NOUN
brj-24472	271	11	,	,	PUNCT
brj-24472	271	12	thereby	thereby	ADV
brj-24472	271	13	eliminating	eliminate	VERB
brj-24472	271	14	redundant	redundant	ADJ
brj-24472	271	15	information	information	NOUN
brj-24472	271	16	and	and	CCONJ
brj-24472	271	17	providing	provide	VERB
brj-24472	271	18	clearer	clear	ADJ
brj-24472	271	19	and	and	CCONJ
brj-24472	271	20	more	more	ADV
brj-24472	271	21	precise	precise	ADJ
brj-24472	271	22	input	input	NOUN
brj-24472	271	23	for	for	ADP
brj-24472	271	24	subsequent	subsequent	ADJ
brj-24472	271	25	data	datum	NOUN
brj-24472	271	26	modeling	modeling	NOUN
brj-24472	271	27	and	and	CCONJ
brj-24472	271	28	algorithm	algorithm	NOUN
brj-24472	271	29	development	development	NOUN
brj-24472	271	30	.	.	PUNCT
brj-24472	272	1	the	the	DET
brj-24472	272	2	mapping	mapping	NOUN
brj-24472	272	3	models	model	NOUN
brj-24472	272	4	between	between	ADP
brj-24472	272	5	key	key	ADJ
brj-24472	272	6	kansei	kansei	NOUN
brj-24472	272	7	needs	need	NOUN
brj-24472	272	8	and	and	CCONJ
brj-24472	272	9	design	design	NOUN
brj-24472	272	10	elements	element	NOUN
brj-24472	272	11	are	be	AUX
brj-24472	272	12	built	build	VERB
brj-24472	272	13	by	by	ADP
brj-24472	272	14	ga	ga	PROPN
brj-24472	272	15	-	-	PUNCT
brj-24472	272	16	bpnn	bpnn	NOUN
brj-24472	272	17	based	base	VERB
brj-24472	272	18	on	on	ADP
brj-24472	272	19	the	the	DET
brj-24472	272	20	previous	previous	ADJ
brj-24472	272	21	research	research	NOUN
brj-24472	272	22	,	,	PUNCT
brj-24472	272	23	the	the	DET
brj-24472	272	24	mapping	mapping	NOUN
brj-24472	272	25	model	model	NOUN
brj-24472	272	26	between	between	ADP
brj-24472	272	27	the	the	DET
brj-24472	272	28	kansei	kansei	ADJ
brj-24472	272	29	needs	need	NOUN
brj-24472	272	30	of	of	ADP
brj-24472	272	31	key	key	ADJ
brj-24472	272	32	users	user	NOUN
brj-24472	272	33	and	and	CCONJ
brj-24472	272	34	the	the	DET
brj-24472	272	35	key	key	ADJ
brj-24472	272	36	design	design	NOUN
brj-24472	272	37	components	component	NOUN
brj-24472	272	38	was	be	AUX
brj-24472	272	39	constructed	construct	VERB
brj-24472	272	40	so	so	SCONJ
brj-24472	272	41	that	that	SCONJ
brj-24472	272	42	it	it	PRON
brj-24472	272	43	can	can	AUX
brj-24472	272	44	complete	complete	VERB
brj-24472	272	45	the	the	DET
brj-24472	272	46	learning	learning	NOUN
brj-24472	272	47	and	and	CCONJ
brj-24472	272	48	prediction	prediction	NOUN
brj-24472	272	49	tasks	task	NOUN
brj-24472	272	50	.	.	PUNCT
brj-24472	273	1	firstly	firstly	ADV
brj-24472	273	2	,	,	PUNCT
brj-24472	273	3	50	50	NUM
brj-24472	273	4	representative	representative	ADJ
brj-24472	273	5	samples	sample	NOUN
brj-24472	273	6	of	of	ADP
brj-24472	273	7	bamboo	bamboo	NOUN
brj-24472	273	8	chairs	chair	NOUN
brj-24472	273	9	were	be	AUX
brj-24472	273	10	disassembled	disassemble	VERB
brj-24472	273	11	into	into	ADP
brj-24472	273	12	a	a	DET
brj-24472	273	13	combination	combination	NOUN
brj-24472	273	14	of	of	ADP
brj-24472	273	15	design	design	NOUN
brj-24472	273	16	components	component	NOUN
brj-24472	273	17	.	.	PUNCT
brj-24472	274	1	secondly	secondly	ADV
brj-24472	274	2	,	,	PUNCT
brj-24472	274	3	all	all	DET
brj-24472	274	4	samples	sample	NOUN
brj-24472	274	5	were	be	AUX
brj-24472	274	6	unified	unify	VERB
brj-24472	274	7	into	into	ADP
brj-24472	274	8	100px	100px	ADJ
brj-24472	274	9	square	square	ADJ
brj-24472	274	10	png	png	PROPN
brj-24472	274	11	images	image	NOUN
brj-24472	274	12	.	.	PUNCT
brj-24472	275	1	since	since	SCONJ
brj-24472	275	2	the	the	DET
brj-24472	275	3	above	above	ADJ
brj-24472	275	4	perception	perception	NOUN
brj-24472	275	5	questionnaire	questionnaire	NOUN
brj-24472	275	6	covers	cover	VERB
brj-24472	275	7	8	8	NUM
brj-24472	275	8	emotional	emotional	ADJ
brj-24472	275	9	needs	need	NOUN
brj-24472	275	10	,	,	PUNCT
brj-24472	275	11	excessive	excessive	ADJ
brj-24472	275	12	emotional	emotional	ADJ
brj-24472	275	13	needs	need	NOUN
brj-24472	275	14	may	may	AUX
brj-24472	275	15	affect	affect	VERB
brj-24472	275	16	the	the	DET
brj-24472	275	17	data	data	NOUN
brj-24472	275	18	results	result	NOUN
brj-24472	275	19	of	of	ADP
brj-24472	275	20	key	key	ADJ
brj-24472	275	21	emotional	emotional	ADJ
brj-24472	275	22	factors	factor	NOUN
brj-24472	275	23	.	.	PUNCT
brj-24472	276	1	so	so	ADV
brj-24472	276	2	,	,	PUNCT
brj-24472	276	3	at	at	ADP
brj-24472	276	4	this	this	DET
brj-24472	276	5	stage	stage	NOUN
brj-24472	276	6	,	,	PUNCT
brj-24472	276	7	the	the	DET
brj-24472	276	8	authors	author	NOUN
brj-24472	276	9	re	re	VERB
brj-24472	276	10	-	-	VERB
brj-24472	276	11	collected	collected	ADJ
brj-24472	276	12	users	user	NOUN
brj-24472	276	13	’	’	PART
brj-24472	276	14	feedback	feedback	NOUN
brj-24472	276	15	on	on	ADP
brj-24472	276	16	the	the	DET
brj-24472	276	17	key	key	ADJ
brj-24472	276	18	emotional	emotional	ADJ
brj-24472	276	19	needs	need	NOUN
brj-24472	276	20	of	of	ADP
brj-24472	276	21	bamboo	bamboo	NOUN
brj-24472	276	22	chairs	chair	NOUN
brj-24472	276	23	,	,	PUNCT
brj-24472	276	24	and	and	CCONJ
brj-24472	276	25	150	150	NUM
brj-24472	276	26	participants	participant	NOUN
brj-24472	276	27	were	be	AUX
brj-24472	276	28	invited	invite	VERB
brj-24472	276	29	to	to	PART
brj-24472	276	30	participate	participate	VERB
brj-24472	276	31	in	in	ADP
brj-24472	276	32	the	the	DET
brj-24472	276	33	perception	perception	NOUN
brj-24472	276	34	experiment	experiment	NOUN
brj-24472	276	35	by	by	ADP
brj-24472	276	36	using	use	VERB
brj-24472	276	37	the	the	DET
brj-24472	276	38	7	7	NUM
brj-24472	276	39	-	-	PUNCT
brj-24472	276	40	step	step	NOUN
brj-24472	276	41	likert	likert	ADJ
brj-24472	276	42	scale	scale	NOUN
brj-24472	276	43	.	.	PUNCT
brj-24472	277	1	participants	participant	NOUN
brj-24472	277	2	rated	rate	VERB
brj-24472	277	3	each	each	DET
brj-24472	277	4	emotional	emotional	ADJ
brj-24472	277	5	needs	need	NOUN
brj-24472	277	6	according	accord	VERB
brj-24472	277	7	to	to	ADP
brj-24472	277	8	their	their	PRON
brj-24472	277	9	own	own	ADJ
brj-24472	277	10	experience	experience	NOUN
brj-24472	277	11	in	in	ADP
brj-24472	277	12	order	order	NOUN
brj-24472	277	13	to	to	PART
brj-24472	277	14	more	more	ADV
brj-24472	277	15	accurately	accurately	ADV
brj-24472	277	16	reflect	reflect	VERB
brj-24472	277	17	their	their	PRON
brj-24472	277	18	emotional	emotional	ADJ
brj-24472	277	19	cognition	cognition	NOUN
brj-24472	277	20	and	and	CCONJ
brj-24472	277	21	preferences	preference	NOUN
brj-24472	277	22	for	for	ADP
brj-24472	277	23	bamboo	bamboo	NOUN
brj-24472	277	24	chairs	chair	NOUN
brj-24472	277	25	.	.	PUNCT
brj-24472	278	1	for	for	ADP
brj-24472	278	2	the	the	DET
brj-24472	278	3	corresponding	correspond	VERB
brj-24472	278	4	explanation	explanation	NOUN
brj-24472	278	5	of	of	ADP
brj-24472	278	6	the	the	DET
brj-24472	278	7	questionnaire	questionnaire	NOUN
brj-24472	278	8	tasks	task	NOUN
brj-24472	278	9	provided	provide	VERB
brj-24472	278	10	by	by	ADP
brj-24472	278	11	the	the	DET
brj-24472	278	12	subjects	subject	NOUN
brj-24472	278	13	,	,	PUNCT
brj-24472	278	14	“	"	PUNCT
brj-24472	278	15	tough	tough	ADJ
brj-24472	278	16	”	"	PUNCT
brj-24472	278	17	represents	represent	VERB
brj-24472	278	18	the	the	DET
brj-24472	278	19	robustness	robustness	NOUN
brj-24472	278	20	and	and	CCONJ
brj-24472	278	21	durability	durability	NOUN
brj-24472	278	22	of	of	ADP
brj-24472	278	23	bamboo	bamboo	NOUN
brj-24472	278	24	chairs	chair	NOUN
brj-24472	278	25	,	,	PUNCT
brj-24472	278	26	which	which	PRON
brj-24472	278	27	reflects	reflect	VERB
brj-24472	278	28	its	its	PRON
brj-24472	278	29	high	high	ADJ
brj-24472	278	30	-	-	PUNCT
brj-24472	278	31	quality	quality	NOUN
brj-24472	278	32	materials	material	NOUN
brj-24472	278	33	and	and	CCONJ
brj-24472	278	34	processes	process	NOUN
brj-24472	278	35	.	.	PUNCT
brj-24472	279	1	therefore	therefore	ADV
brj-24472	279	2	,	,	PUNCT
brj-24472	279	3	it	it	PRON
brj-24472	279	4	can	can	AUX
brj-24472	279	5	withstand	withstand	VERB
brj-24472	279	6	greater	great	ADJ
brj-24472	279	7	pressure	pressure	NOUN
brj-24472	279	8	and	and	CCONJ
brj-24472	279	9	abrasion	abrasion	NOUN
brj-24472	279	10	during	during	ADP
brj-24472	279	11	use	use	NOUN
brj-24472	279	12	.	.	PUNCT
brj-24472	280	1	“	"	PUNCT
brj-24472	280	2	elegant	elegant	ADJ
brj-24472	280	3	”	"	PUNCT
brj-24472	280	4	reflects	reflect	VERB
brj-24472	280	5	the	the	DET
brj-24472	280	6	design	design	NOUN
brj-24472	280	7	beauty	beauty	NOUN
brj-24472	280	8	and	and	CCONJ
brj-24472	280	9	artistic	artistic	ADJ
brj-24472	280	10	atmosphere	atmosphere	NOUN
brj-24472	280	11	of	of	ADP
brj-24472	280	12	the	the	DET
brj-24472	280	13	bamboo	bamboo	NOUN
brj-24472	280	14	chair	chair	NOUN
brj-24472	280	15	,	,	PUNCT
brj-24472	280	16	which	which	PRON
brj-24472	280	17	reflects	reflect	VERB
brj-24472	280	18	its	its	PRON
brj-24472	280	19	exquisite	exquisite	ADJ
brj-24472	280	20	and	and	CCONJ
brj-24472	280	21	elegant	elegant	ADJ
brj-24472	280	22	appearance	appearance	NOUN
brj-24472	280	23	and	and	CCONJ
brj-24472	280	24	can	can	AUX
brj-24472	280	25	enhance	enhance	VERB
brj-24472	280	26	the	the	DET
brj-24472	280	27	taste	taste	NOUN
brj-24472	280	28	of	of	ADP
brj-24472	280	29	the	the	DET
brj-24472	280	30	overall	overall	ADJ
brj-24472	280	31	home	home	NOUN
brj-24472	280	32	environment	environment	NOUN
brj-24472	280	33	.	.	PUNCT
brj-24472	281	1	“	"	PUNCT
brj-24472	281	2	flexible	flexible	ADJ
brj-24472	281	3	”	"	PUNCT
brj-24472	281	4	represents	represent	VERB
brj-24472	281	5	the	the	DET
brj-24472	281	6	lightness	lightness	NOUN
brj-24472	281	7	and	and	CCONJ
brj-24472	281	8	flexibility	flexibility	NOUN
brj-24472	281	9	of	of	ADP
brj-24472	281	10	the	the	DET
brj-24472	281	11	bamboo	bamboo	NOUN
brj-24472	281	12	chair	chair	NOUN
brj-24472	281	13	,	,	PUNCT
brj-24472	281	14	which	which	PRON
brj-24472	281	15	makes	make	VERB
brj-24472	281	16	it	it	PRON
brj-24472	281	17	easy	easy	ADJ
brj-24472	281	18	to	to	PART
brj-24472	281	19	move	move	VERB
brj-24472	281	20	and	and	CCONJ
brj-24472	281	21	adjust	adjust	VERB
brj-24472	281	22	and	and	CCONJ
brj-24472	281	23	can	can	AUX
brj-24472	281	24	adapt	adapt	VERB
brj-24472	281	25	to	to	ADP
brj-24472	281	26	different	different	ADJ
brj-24472	281	27	use	use	NOUN
brj-24472	281	28	scenarios	scenario	NOUN
brj-24472	281	29	and	and	CCONJ
brj-24472	281	30	needs	need	NOUN
brj-24472	281	31	.	.	PUNCT
brj-24472	282	1	thus	thus	ADV
brj-24472	282	2	the	the	DET
brj-24472	282	3	convenience	convenience	NOUN
brj-24472	282	4	and	and	CCONJ
brj-24472	282	5	comfort	comfort	NOUN
brj-24472	282	6	will	will	AUX
brj-24472	282	7	be	be	AUX
brj-24472	282	8	brought	bring	VERB
brj-24472	282	9	to	to	ADP
brj-24472	282	10	users	user	NOUN
brj-24472	282	11	.	.	PUNCT
brj-24472	283	1	“	"	PUNCT
brj-24472	283	2	soft	soft	ADJ
brj-24472	283	3	”	"	PUNCT
brj-24472	283	4	represents	represent	VERB
brj-24472	283	5	the	the	DET
brj-24472	283	6	gentle	gentle	ADJ
brj-24472	283	7	and	and	CCONJ
brj-24472	283	8	comfort	comfort	NOUN
brj-24472	283	9	characteristics	characteristic	NOUN
brj-24472	283	10	of	of	ADP
brj-24472	283	11	bamboo	bamboo	NOUN
brj-24472	283	12	chairs	chair	NOUN
brj-24472	283	13	,	,	PUNCT
brj-24472	283	14	which	which	PRON
brj-24472	283	15	reflects	reflect	VERB
brj-24472	283	16	the	the	DET
brj-24472	283	17	smooth	smooth	ADJ
brj-24472	283	18	lines	line	NOUN
brj-24472	283	19	and	and	CCONJ
brj-24472	283	20	affinity	affinity	NOUN
brj-24472	283	21	of	of	ADP
brj-24472	283	22	its	its	PRON
brj-24472	283	23	design	design	NOUN
brj-24472	283	24	.	.	PUNCT
brj-24472	284	1	it	it	PRON
brj-24472	284	2	also	also	ADV
brj-24472	284	3	reflects	reflect	VERB
brj-24472	284	4	the	the	DET
brj-24472	284	5	choice	choice	NOUN
brj-24472	284	6	of	of	ADP
brj-24472	284	7	natural	natural	ADJ
brj-24472	284	8	colors	color	NOUN
brj-24472	284	9	,	,	PUNCT
brj-24472	284	10	which	which	PRON
brj-24472	284	11	makes	make	VERB
brj-24472	284	12	the	the	DET
brj-24472	284	13	bamboo	bamboo	NOUN
brj-24472	284	14	chair	chair	NOUN
brj-24472	284	15	be	be	AUX
brj-24472	284	16	more	more	ADV
brj-24472	284	17	easily	easily	ADV
brj-24472	284	18	integrated	integrate	VERB
brj-24472	284	19	into	into	ADP
brj-24472	284	20	the	the	DET
brj-24472	284	21	home	home	NOUN
brj-24472	284	22	environment	environment	NOUN
brj-24472	284	23	.	.	PUNCT
brj-24472	285	1	thus	thus	ADV
brj-24472	285	2	a	a	DET
brj-24472	285	3	peaceful	peaceful	ADJ
brj-24472	285	4	and	and	CCONJ
brj-24472	285	5	harmonious	harmonious	ADJ
brj-24472	285	6	atmosphere	atmosphere	NOUN
brj-24472	285	7	will	will	AUX
brj-24472	285	8	be	be	AUX
brj-24472	285	9	created	create	VERB
brj-24472	285	10	and	and	CCONJ
brj-24472	285	11	the	the	DET
brj-24472	285	12	users	user	NOUN
brj-24472	285	13	’	'	PUNCT
brj-24472	285	14	comfort	comfort	NOUN
brj-24472	285	15	will	will	AUX
brj-24472	285	16	be	be	AUX
brj-24472	285	17	enhanced	enhance	VERB
brj-24472	285	18	.	.	PUNCT
brj-24472	286	1	finally	finally	ADV
brj-24472	286	2	,	,	PUNCT
brj-24472	286	3	143	143	DET
brj-24472	286	4	valid	valid	ADJ
brj-24472	286	5	data	datum	NOUN
brj-24472	286	6	were	be	AUX
brj-24472	286	7	retained	retain	VERB
brj-24472	286	8	;	;	PUNCT
brj-24472	286	9	the	the	DET
brj-24472	286	10	statistical	statistical	ADJ
brj-24472	286	11	analysis	analysis	NOUN
brj-24472	286	12	of	of	ADP
brj-24472	286	13	the	the	DET
brj-24472	286	14	results	result	NOUN
brj-24472	286	15	’	'	PUNCT
brj-24472	286	16	mean	mean	ADJ
brj-24472	286	17	value	value	NOUN
brj-24472	286	18	was	be	AUX
brj-24472	286	19	carried	carry	VERB
brj-24472	286	20	out	out	ADP
brj-24472	286	21	;	;	PUNCT
brj-24472	286	22	the	the	DET
brj-24472	286	23	database	database	NOUN
brj-24472	286	24	is	be	AUX
brj-24472	286	25	provided	provide	VERB
brj-24472	286	26	for	for	ADP
brj-24472	286	27	the	the	DET
brj-24472	286	28	subsequent	subsequent	ADJ
brj-24472	286	29	establishment	establishment	NOUN
brj-24472	286	30	of	of	ADP
brj-24472	286	31	the	the	DET
brj-24472	286	32	mapping	mapping	NOUN
brj-24472	286	33	model	model	NOUN
brj-24472	286	34	,	,	PUNCT
brj-24472	286	35	as	as	SCONJ
brj-24472	286	36	shown	show	VERB
brj-24472	286	37	in	in	ADP
brj-24472	286	38	table	table	NOUN
brj-24472	286	39	6	6	NUM
brj-24472	286	40	.	.	PUNCT
brj-24472	286	41	peer	peer	NOUN
brj-24472	286	42	-	-	PUNCT
brj-24472	286	43	reviewed	review	VERB
brj-24472	286	44	article	article	NOUN
brj-24472	286	45	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	286	46	huang	huang	PROPN
brj-24472	286	47	et	et	PROPN
brj-24472	286	48	al	al	PROPN
brj-24472	286	49	.	.	PROPN
brj-24472	287	1	(	(	PUNCT
brj-24472	287	2	2025	2025	NUM
brj-24472	287	3	)	)	PUNCT
brj-24472	287	4	.	.	PUNCT
brj-24472	288	1	“	"	PUNCT
brj-24472	288	2	bamboo	bamboo	NOUN
brj-24472	288	3	furniture	furniture	NOUN
brj-24472	288	4	design	design	NOUN
brj-24472	288	5	,	,	PUNCT
brj-24472	288	6	”	"	PUNCT
brj-24472	288	7	bioresources	bioresource	NOUN
brj-24472	288	8	20(3	20(3	NOUN
brj-24472	288	9	)	)	PUNCT
brj-24472	288	10	,	,	PUNCT
brj-24472	288	11	7107	7107	NUM
brj-24472	288	12	-	-	SYM
brj-24472	288	13	7133	7133	NUM
brj-24472	288	14	.	.	PUNCT
brj-24472	289	1	7122	7122	NUM
brj-24472	289	2	table	table	NOUN
brj-24472	289	3	6	6	NUM
brj-24472	289	4	.	.	PUNCT
brj-24472	289	5	perceptual	perceptual	ADJ
brj-24472	289	6	mapping	mapping	NOUN
brj-24472	289	7	model	model	NOUN
brj-24472	289	8	matrix	matrix	NOUN
brj-24472	289	9	no	no	INTJ
brj-24472	289	10	.	.	PUNCT
brj-24472	290	1	design	design	NOUN
brj-24472	290	2	components	component	NOUN
brj-24472	290	3	key	key	ADJ
brj-24472	290	4	kansei	kansei	NOUN
brj-24472	290	5	needs	need	VERB
brj-24472	290	6	the	the	DET
brj-24472	290	7	back	back	NOUN
brj-24472	290	8	of	of	ADP
brj-24472	290	9	the	the	DET
brj-24472	290	10	chair	chair	NOUN
brj-24472	290	11	(	(	PUNCT
brj-24472	290	12	x1	x1	PROPN
brj-24472	290	13	)	)	PUNCT
brj-24472	290	14	the	the	DET
brj-24472	290	15	seat	seat	NOUN
brj-24472	290	16	surface	surface	NOUN
brj-24472	290	17	(	(	PUNCT
brj-24472	290	18	x2	x2	PROPN
brj-24472	290	19	)	)	PUNCT
brj-24472	290	20	the	the	DET
brj-24472	290	21	armrest	armrest	NOUN
brj-24472	290	22	(	(	PUNCT
brj-24472	290	23	x3	x3	ADJ
brj-24472	290	24	)	)	PUNCT
brj-24472	290	25	the	the	DET
brj-24472	290	26	legs	leg	NOUN
brj-24472	290	27	(	(	PUNCT
brj-24472	290	28	x4	x4	PROPN
brj-24472	290	29	)	)	PUNCT
brj-24472	290	30	the	the	DET
brj-24472	290	31	way	way	NOUN
brj-24472	290	32	of	of	ADP
brj-24472	290	33	bambooweaving	bambooweave	VERB
brj-24472	290	34	(	(	PUNCT
brj-24472	290	35	x5	x5	NOUN
brj-24472	290	36	)	)	PUNCT
brj-24472	290	37	soft	soft	ADJ
brj-24472	290	38	flexible	flexible	ADJ
brj-24472	290	39	tough	tough	ADJ
brj-24472	290	40	elegant	elegant	ADJ
brj-24472	290	41	1	1	NUM
brj-24472	290	42	1	1	NUM
brj-24472	290	43	5	5	NUM
brj-24472	290	44	1	1	NUM
brj-24472	290	45	1	1	NUM
brj-24472	290	46	1	1	NUM
brj-24472	290	47	3.110	3.110	NUM
brj-24472	290	48	2.970	2.970	NUM
brj-24472	290	49	3.040	3.040	NUM
brj-24472	290	50	3.440	3.440	NUM
brj-24472	290	51	2	2	NUM
brj-24472	290	52	2	2	NUM
brj-24472	290	53	1	1	NUM
brj-24472	290	54	1	1	NUM
brj-24472	290	55	1	1	NUM
brj-24472	290	56	1	1	NUM
brj-24472	290	57	3.080	3.080	NUM
brj-24472	290	58	3.420	3.420	NUM
brj-24472	290	59	3.450	3.450	NUM
brj-24472	290	60	3.430	3.430	NUM
brj-24472	290	61	3	3	NUM
brj-24472	290	62	3	3	NUM
brj-24472	290	63	1	1	NUM
brj-24472	290	64	1	1	NUM
brj-24472	290	65	1	1	NUM
brj-24472	290	66	1	1	NUM
brj-24472	290	67	3.280	3.280	NUM
brj-24472	290	68	3.630	3.630	NUM
brj-24472	290	69	3.810	3.810	NUM
brj-24472	290	70	3.260	3.260	NUM
brj-24472	290	71	…	…	PUNCT
brj-24472	290	72	…	…	PUNCT
brj-24472	290	73	…	…	PUNCT
brj-24472	290	74	…	…	PUNCT
brj-24472	290	75	…	…	PUNCT
brj-24472	290	76	…	…	PUNCT
brj-24472	290	77	…	…	PUNCT
brj-24472	290	78	…	…	PUNCT
brj-24472	290	79	…	…	PUNCT
brj-24472	290	80	…	…	PUNCT
brj-24472	290	81	…	…	PUNCT
brj-24472	290	82	…	…	PUNCT
brj-24472	290	83	…	…	PUNCT
brj-24472	290	84	…	…	PUNCT
brj-24472	290	85	…	…	PUNCT
brj-24472	290	86	…	…	PUNCT
brj-24472	290	87	…	…	PUNCT
brj-24472	290	88	…	…	PUNCT
brj-24472	290	89	…	…	PUNCT
brj-24472	290	90	…	…	PUNCT
brj-24472	290	91	48	48	NUM
brj-24472	290	92	4	4	NUM
brj-24472	290	93	3	3	NUM
brj-24472	290	94	3	3	NUM
brj-24472	290	95	3	3	NUM
brj-24472	290	96	2	2	NUM
brj-24472	290	97	3.500	3.500	NUM
brj-24472	290	98	3.510	3.510	NUM
brj-24472	290	99	3.880	3.880	NUM
brj-24472	290	100	3.480	3.480	NUM
brj-24472	290	101	49	49	NUM
brj-24472	290	102	4	4	NUM
brj-24472	290	103	1	1	NUM
brj-24472	290	104	1	1	NUM
brj-24472	290	105	3	3	NUM
brj-24472	290	106	3	3	NUM
brj-24472	290	107	3.200	3.200	NUM
brj-24472	290	108	4.920	4.920	NUM
brj-24472	290	109	3.510	3.510	NUM
brj-24472	290	110	3.610	3.610	NUM
brj-24472	290	111	50	50	NUM
brj-24472	290	112	1	1	NUM
brj-24472	290	113	5	5	NUM
brj-24472	290	114	1	1	NUM
brj-24472	290	115	3	3	NUM
brj-24472	290	116	1	1	NUM
brj-24472	290	117	3.150	3.150	NUM
brj-24472	290	118	2.340	2.340	NUM
brj-24472	290	119	2.860	2.860	NUM
brj-24472	290	120	3.690	3.690	NUM
brj-24472	290	121	the	the	DET
brj-24472	290	122	attribute	attribute	NOUN
brj-24472	290	123	coding	code	VERB
brj-24472	290	124	of	of	ADP
brj-24472	290	125	five	five	NUM
brj-24472	290	126	design	design	NOUN
brj-24472	290	127	components	component	NOUN
brj-24472	290	128	was	be	AUX
brj-24472	290	129	used	use	VERB
brj-24472	290	130	as	as	ADP
brj-24472	290	131	the	the	DET
brj-24472	290	132	input	input	NOUN
brj-24472	290	133	layer	layer	NOUN
brj-24472	290	134	;	;	PUNCT
brj-24472	290	135	and	and	CCONJ
brj-24472	290	136	the	the	DET
brj-24472	290	137	mean	mean	ADJ
brj-24472	290	138	attribute	attribute	NOUN
brj-24472	290	139	of	of	ADP
brj-24472	290	140	key	key	ADJ
brj-24472	290	141	emotional	emotional	ADJ
brj-24472	290	142	needs	need	NOUN
brj-24472	290	143	evaluation	evaluation	NOUN
brj-24472	290	144	was	be	AUX
brj-24472	290	145	used	use	VERB
brj-24472	290	146	as	as	ADP
brj-24472	290	147	the	the	DET
brj-24472	290	148	output	output	NOUN
brj-24472	290	149	layer	layer	NOUN
brj-24472	290	150	.	.	PUNCT
brj-24472	291	1	the	the	DET
brj-24472	291	2	kansei	kansei	ADJ
brj-24472	291	3	mapping	mapping	NOUN
brj-24472	291	4	model	model	NOUN
brj-24472	291	5	of	of	ADP
brj-24472	291	6	ga	ga	PROPN
brj-24472	291	7	-	-	PUNCT
brj-24472	291	8	bpnn	bpnn	PROPN
brj-24472	291	9	was	be	AUX
brj-24472	291	10	modeled	model	VERB
brj-24472	291	11	under	under	ADP
brj-24472	291	12	matlab2022rb	matlab2022rb	NOUN
brj-24472	291	13	software	software	NOUN
brj-24472	291	14	platform	platform	NOUN
brj-24472	291	15	.	.	PUNCT
brj-24472	292	1	the	the	DET
brj-24472	292	2	genetic	genetic	ADJ
brj-24472	292	3	algorithm	algorithm	NOUN
brj-24472	292	4	was	be	AUX
brj-24472	292	5	used	use	VERB
brj-24472	292	6	to	to	PART
brj-24472	292	7	optimize	optimize	VERB
brj-24472	292	8	the	the	DET
brj-24472	292	9	backpropagation	backpropagation	NOUN
brj-24472	292	10	neural	neural	ADJ
brj-24472	292	11	network	network	NOUN
brj-24472	292	12	.	.	PUNCT
brj-24472	293	1	the	the	DET
brj-24472	293	2	set	set	PROPN
brj-24472	293	3	ga	ga	PROPN
brj-24472	293	4	parameters	parameter	NOUN
brj-24472	293	5	include	include	VERB
brj-24472	293	6	population	population	NOUN
brj-24472	293	7	size	size	NOUN
brj-24472	293	8	of	of	ADP
brj-24472	293	9	50	50	NUM
brj-24472	293	10	,	,	PUNCT
brj-24472	293	11	iteration	iteration	NOUN
brj-24472	293	12	number	number	NOUN
brj-24472	293	13	of	of	ADP
brj-24472	293	14	50	50	NUM
brj-24472	293	15	,	,	PUNCT
brj-24472	293	16	crossover	crossover	VERB
brj-24472	293	17	probability	probability	NOUN
brj-24472	293	18	of	of	ADP
brj-24472	293	19	0.8	0.8	NUM
brj-24472	293	20	,	,	PUNCT
brj-24472	293	21	mutation	mutation	NOUN
brj-24472	293	22	probability	probability	NOUN
brj-24472	293	23	of	of	ADP
brj-24472	293	24	0.05	0.05	NUM
brj-24472	293	25	,	,	PUNCT
brj-24472	293	26	learning	learn	VERB
brj-24472	293	27	rate	rate	NOUN
brj-24472	293	28	of	of	ADP
brj-24472	293	29	0.01	0.01	NUM
brj-24472	293	30	;	;	PUNCT
brj-24472	293	31	the	the	DET
brj-24472	293	32	fitness	fitness	NOUN
brj-24472	293	33	function	function	NOUN
brj-24472	293	34	uses	use	VERB
brj-24472	293	35	the	the	DET
brj-24472	293	36	rootmean	rootmean	ADJ
brj-24472	293	37	-	-	PUNCT
brj-24472	293	38	square	square	NOUN
brj-24472	293	39	error	error	NOUN
brj-24472	293	40	(	(	PUNCT
brj-24472	293	41	rmse	rmse	NOUN
brj-24472	293	42	)	)	PUNCT
brj-24472	293	43	.	.	PUNCT
brj-24472	294	1	the	the	DET
brj-24472	294	2	number	number	NOUN
brj-24472	294	3	of	of	ADP
brj-24472	294	4	nodes	node	NOUN
brj-24472	294	5	in	in	ADP
brj-24472	294	6	the	the	DET
brj-24472	294	7	input	input	NOUN
brj-24472	294	8	layer	layer	NOUN
brj-24472	294	9	of	of	ADP
brj-24472	294	10	the	the	DET
brj-24472	294	11	bpnn	bpnn	NOUN
brj-24472	294	12	model	model	NOUN
brj-24472	294	13	was	be	AUX
brj-24472	294	14	determined	determine	VERB
brj-24472	294	15	to	to	PART
brj-24472	294	16	be	be	AUX
brj-24472	294	17	5	5	NUM
brj-24472	294	18	according	accord	VERB
brj-24472	294	19	to	to	ADP
brj-24472	294	20	the	the	DET
brj-24472	294	21	number	number	NOUN
brj-24472	294	22	of	of	ADP
brj-24472	294	23	features	feature	NOUN
brj-24472	294	24	;	;	PUNCT
brj-24472	294	25	the	the	DET
brj-24472	294	26	number	number	NOUN
brj-24472	294	27	of	of	ADP
brj-24472	294	28	nodes	node	NOUN
brj-24472	294	29	in	in	ADP
brj-24472	294	30	the	the	DET
brj-24472	294	31	output	output	NOUN
brj-24472	294	32	layer	layer	NOUN
brj-24472	294	33	was	be	AUX
brj-24472	294	34	4	4	NUM
brj-24472	294	35	according	accord	VERB
brj-24472	294	36	to	to	ADP
brj-24472	294	37	the	the	DET
brj-24472	294	38	key	key	ADJ
brj-24472	294	39	emotional	emotional	ADJ
brj-24472	294	40	needs	need	NOUN
brj-24472	294	41	;	;	PUNCT
brj-24472	294	42	the	the	DET
brj-24472	294	43	number	number	NOUN
brj-24472	294	44	of	of	ADP
brj-24472	294	45	nodes	node	NOUN
brj-24472	294	46	in	in	ADP
brj-24472	294	47	the	the	DET
brj-24472	294	48	hidden	hide	VERB
brj-24472	294	49	layer	layer	NOUN
brj-24472	294	50	was	be	AUX
brj-24472	294	51	set	set	VERB
brj-24472	294	52	to	to	ADP
brj-24472	294	53	the	the	DET
brj-24472	294	54	value	value	NOUN
brj-24472	294	55	between	between	ADP
brj-24472	294	56	the	the	DET
brj-24472	294	57	number	number	NOUN
brj-24472	294	58	of	of	ADP
brj-24472	294	59	nodes	node	NOUN
brj-24472	294	60	in	in	ADP
brj-24472	294	61	the	the	DET
brj-24472	294	62	input	input	NOUN
brj-24472	294	63	layer	layer	NOUN
brj-24472	294	64	and	and	CCONJ
brj-24472	294	65	the	the	DET
brj-24472	294	66	number	number	NOUN
brj-24472	294	67	of	of	ADP
brj-24472	294	68	nodes	node	NOUN
brj-24472	294	69	in	in	ADP
brj-24472	294	70	the	the	DET
brj-24472	294	71	output	output	NOUN
brj-24472	294	72	layer	layer	NOUN
brj-24472	294	73	.	.	PUNCT
brj-24472	295	1	in	in	ADP
brj-24472	295	2	the	the	DET
brj-24472	295	3	course	course	NOUN
brj-24472	295	4	of	of	ADP
brj-24472	295	5	training	training	NOUN
brj-24472	295	6	,	,	PUNCT
brj-24472	295	7	the	the	DET
brj-24472	295	8	weight	weight	NOUN
brj-24472	295	9	is	be	AUX
brj-24472	295	10	updated	update	VERB
brj-24472	295	11	by	by	ADP
brj-24472	295	12	means	mean	NOUN
brj-24472	295	13	of	of	ADP
brj-24472	295	14	mean	mean	ADJ
brj-24472	295	15	square	square	ADJ
brj-24472	295	16	error	error	NOUN
brj-24472	295	17	or	or	CCONJ
brj-24472	295	18	cross	cross	NOUN
brj-24472	295	19	entropy	entropy	NOUN
brj-24472	295	20	loss	loss	NOUN
brj-24472	295	21	function	function	NOUN
brj-24472	295	22	through	through	ADP
brj-24472	295	23	backpropagation	backpropagation	NOUN
brj-24472	295	24	algorithm	algorithm	NOUN
brj-24472	295	25	to	to	PART
brj-24472	295	26	improve	improve	VERB
brj-24472	295	27	the	the	DET
brj-24472	295	28	performance	performance	NOUN
brj-24472	295	29	of	of	ADP
brj-24472	295	30	the	the	DET
brj-24472	295	31	model	model	NOUN
brj-24472	295	32	.	.	PUNCT
brj-24472	296	1	90	90	NUM
brj-24472	296	2	%	%	NOUN
brj-24472	296	3	of	of	ADP
brj-24472	296	4	the	the	DET
brj-24472	296	5	samples	sample	NOUN
brj-24472	296	6	are	be	AUX
brj-24472	296	7	set	set	VERB
brj-24472	296	8	as	as	SCONJ
brj-24472	296	9	the	the	DET
brj-24472	296	10	training	training	NOUN
brj-24472	296	11	set	set	NOUN
brj-24472	296	12	and	and	CCONJ
brj-24472	296	13	the	the	DET
brj-24472	296	14	remaining	remain	VERB
brj-24472	296	15	10	10	NUM
brj-24472	296	16	%	%	NOUN
brj-24472	296	17	are	be	AUX
brj-24472	296	18	set	set	VERB
brj-24472	296	19	as	as	ADP
brj-24472	296	20	the	the	DET
brj-24472	296	21	test	test	NOUN
brj-24472	296	22	set	set	NOUN
brj-24472	296	23	.	.	PUNCT
brj-24472	297	1	after	after	ADP
brj-24472	297	2	multiple	multiple	ADJ
brj-24472	297	3	training	training	NOUN
brj-24472	297	4	,	,	PUNCT
brj-24472	297	5	the	the	DET
brj-24472	297	6	four	four	NUM
brj-24472	297	7	kansei	kansei	ADJ
brj-24472	297	8	mapping	mapping	NOUN
brj-24472	297	9	models	model	NOUN
brj-24472	297	10	all	all	PRON
brj-24472	297	11	converge	converge	VERB
brj-24472	297	12	to	to	ADP
brj-24472	297	13	a	a	DET
brj-24472	297	14	good	good	ADJ
brj-24472	297	15	parameter	parameter	NOUN
brj-24472	297	16	model	model	NOUN
brj-24472	297	17	;	;	PUNCT
brj-24472	297	18	the	the	DET
brj-24472	297	19	parameter	parameter	NOUN
brj-24472	297	20	results	result	NOUN
brj-24472	297	21	of	of	ADP
brj-24472	297	22	the	the	DET
brj-24472	297	23	training	training	NOUN
brj-24472	297	24	set	set	NOUN
brj-24472	297	25	show	show	VERB
brj-24472	297	26	that	that	SCONJ
brj-24472	297	27	r2	r2	PROPN
brj-24472	297	28	is	be	AUX
brj-24472	297	29	greater	great	ADJ
brj-24472	297	30	than	than	ADP
brj-24472	297	31	0.9	0.9	NUM
brj-24472	297	32	and	and	CCONJ
brj-24472	297	33	the	the	DET
brj-24472	297	34	rmse	rmse	NOUN
brj-24472	297	35	is	be	AUX
brj-24472	297	36	less	less	ADJ
brj-24472	297	37	than	than	ADP
brj-24472	297	38	0.2	0.2	NUM
brj-24472	297	39	.	.	PUNCT
brj-24472	298	1	the	the	DET
brj-24472	298	2	parameter	parameter	NOUN
brj-24472	298	3	results	result	NOUN
brj-24472	298	4	indicate	indicate	VERB
brj-24472	298	5	that	that	SCONJ
brj-24472	298	6	the	the	DET
brj-24472	298	7	model	model	NOUN
brj-24472	298	8	trained	train	VERB
brj-24472	298	9	in	in	ADP
brj-24472	298	10	this	this	DET
brj-24472	298	11	study	study	NOUN
brj-24472	298	12	has	have	VERB
brj-24472	298	13	good	good	ADJ
brj-24472	298	14	prediction	prediction	NOUN
brj-24472	298	15	performance	performance	NOUN
brj-24472	298	16	and	and	CCONJ
brj-24472	298	17	high	high	ADJ
brj-24472	298	18	fitting	fitting	ADJ
brj-24472	298	19	degree	degree	NOUN
brj-24472	298	20	.	.	PUNCT
brj-24472	299	1	finally	finally	ADV
brj-24472	299	2	,	,	PUNCT
brj-24472	299	3	the	the	DET
brj-24472	299	4	test	test	NOUN
brj-24472	299	5	set	set	NOUN
brj-24472	299	6	is	be	AUX
brj-24472	299	7	used	use	VERB
brj-24472	299	8	to	to	PART
brj-24472	299	9	test	test	VERB
brj-24472	299	10	the	the	DET
brj-24472	299	11	model	model	NOUN
brj-24472	299	12	;	;	PUNCT
brj-24472	299	13	and	and	CCONJ
brj-24472	299	14	the	the	DET
brj-24472	299	15	results	result	NOUN
brj-24472	299	16	of	of	ADP
brj-24472	299	17	the	the	DET
brj-24472	299	18	test	test	NOUN
brj-24472	299	19	set	set	VERB
brj-24472	299	20	parameters	parameter	NOUN
brj-24472	299	21	show	show	VERB
brj-24472	299	22	that	that	SCONJ
brj-24472	299	23	r2	r2	PROPN
brj-24472	299	24	is	be	AUX
brj-24472	299	25	greater	great	ADJ
brj-24472	299	26	than	than	ADP
brj-24472	299	27	0.88	0.88	NUM
brj-24472	299	28	and	and	CCONJ
brj-24472	299	29	rmse	rmse	NOUN
brj-24472	299	30	is	be	AUX
brj-24472	299	31	less	less	ADJ
brj-24472	299	32	than	than	ADP
brj-24472	299	33	0.21	0.21	NUM
brj-24472	299	34	.	.	PUNCT
brj-24472	300	1	the	the	DET
brj-24472	300	2	results	result	NOUN
brj-24472	300	3	show	show	VERB
brj-24472	300	4	that	that	SCONJ
brj-24472	300	5	the	the	DET
brj-24472	300	6	prediction	prediction	NOUN
brj-24472	300	7	results	result	NOUN
brj-24472	300	8	of	of	ADP
brj-24472	300	9	the	the	DET
brj-24472	300	10	model	model	NOUN
brj-24472	300	11	in	in	ADP
brj-24472	300	12	this	this	DET
brj-24472	300	13	study	study	NOUN
brj-24472	300	14	have	have	VERB
brj-24472	300	15	little	little	ADJ
brj-24472	300	16	difference	difference	NOUN
brj-24472	300	17	from	from	ADP
brj-24472	300	18	the	the	DET
brj-24472	300	19	real	real	ADJ
brj-24472	300	20	value	value	NOUN
brj-24472	300	21	;	;	PUNCT
brj-24472	300	22	and	and	CCONJ
brj-24472	300	23	it	it	PRON
brj-24472	300	24	can	can	AUX
brj-24472	300	25	be	be	AUX
brj-24472	300	26	used	use	VERB
brj-24472	300	27	for	for	ADP
brj-24472	300	28	the	the	DET
brj-24472	300	29	subsequent	subsequent	ADJ
brj-24472	300	30	design	design	NOUN
brj-24472	300	31	combination	combination	NOUN
brj-24472	300	32	prediction	prediction	NOUN
brj-24472	300	33	research	research	NOUN
brj-24472	300	34	,	,	PUNCT
brj-24472	300	35	which	which	PRON
brj-24472	300	36	is	be	AUX
brj-24472	300	37	in	in	ADP
brj-24472	300	38	line	line	NOUN
brj-24472	300	39	with	with	ADP
brj-24472	300	40	the	the	DET
brj-24472	300	41	experimental	experimental	ADJ
brj-24472	300	42	expectations	expectation	NOUN
brj-24472	300	43	.	.	PUNCT
brj-24472	301	1	in	in	ADP
brj-24472	301	2	summary	summary	NOUN
brj-24472	301	3	,	,	PUNCT
brj-24472	301	4	the	the	DET
brj-24472	301	5	experimental	experimental	ADJ
brj-24472	301	6	results	result	NOUN
brj-24472	301	7	of	of	ADP
brj-24472	301	8	this	this	DET
brj-24472	301	9	study	study	NOUN
brj-24472	301	10	show	show	VERB
brj-24472	301	11	that	that	SCONJ
brj-24472	301	12	the	the	DET
brj-24472	301	13	constructed	construct	VERB
brj-24472	301	14	ga	ga	PROPN
brj-24472	301	15	-	-	PUNCT
brj-24472	301	16	bpnn	bpnn	NOUN
brj-24472	301	17	kansei	kansei	ADJ
brj-24472	301	18	mapping	mapping	NOUN
brj-24472	301	19	model	model	NOUN
brj-24472	301	20	has	have	VERB
brj-24472	301	21	good	good	ADJ
brj-24472	301	22	predictive	predictive	ADJ
brj-24472	301	23	performance	performance	NOUN
brj-24472	301	24	and	and	CCONJ
brj-24472	301	25	can	can	AUX
brj-24472	301	26	be	be	AUX
brj-24472	301	27	used	use	VERB
brj-24472	301	28	to	to	PART
brj-24472	301	29	establish	establish	VERB
brj-24472	301	30	the	the	DET
brj-24472	301	31	mapping	mapping	NOUN
brj-24472	301	32	relationship	relationship	NOUN
brj-24472	301	33	between	between	ADP
brj-24472	301	34	the	the	DET
brj-24472	301	35	components	component	NOUN
brj-24472	301	36	of	of	ADP
brj-24472	301	37	bamboo	bamboo	NOUN
brj-24472	301	38	chair	chair	NOUN
brj-24472	301	39	design	design	NOUN
brj-24472	301	40	and	and	CCONJ
brj-24472	301	41	kansei	kansei	ADJ
brj-24472	301	42	needs	need	NOUN
brj-24472	301	43	.	.	PUNCT
brj-24472	302	1	the	the	DET
brj-24472	302	2	parameters	parameter	NOUN
brj-24472	302	3	of	of	ADP
brj-24472	302	4	the	the	DET
brj-24472	302	5	kansei	kansei	ADJ
brj-24472	302	6	mapping	mapping	NOUN
brj-24472	302	7	model	model	NOUN
brj-24472	302	8	are	be	AUX
brj-24472	302	9	shown	show	VERB
brj-24472	302	10	in	in	ADP
brj-24472	302	11	table	table	NOUN
brj-24472	302	12	7	7	NUM
brj-24472	302	13	.	.	PUNCT
brj-24472	303	1	the	the	DET
brj-24472	303	2	model	model	PROPN
brj-24472	303	3	fitness	fitness	NOUN
brj-24472	303	4	change	change	NOUN
brj-24472	303	5	curves	curve	NOUN
brj-24472	303	6	,	,	PUNCT
brj-24472	303	7	test	test	NOUN
brj-24472	303	8	set	set	VERB
brj-24472	303	9	and	and	CCONJ
brj-24472	303	10	training	training	NOUN
brj-24472	303	11	set	set	VERB
brj-24472	303	12	fitting	fitting	ADJ
brj-24472	303	13	curves	curve	NOUN
brj-24472	303	14	are	be	AUX
brj-24472	303	15	shown	show	VERB
brj-24472	303	16	in	in	ADP
brj-24472	303	17	fig	fig	NOUN
brj-24472	303	18	.	.	PUNCT
brj-24472	304	1	6	6	NUM
brj-24472	304	2	.	.	X
brj-24472	304	3	peer	peer	NOUN
brj-24472	304	4	-	-	PUNCT
brj-24472	304	5	reviewed	review	VERB
brj-24472	304	6	article	article	NOUN
brj-24472	304	7	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	304	8	huang	huang	PROPN
brj-24472	304	9	et	et	PROPN
brj-24472	304	10	al	al	PROPN
brj-24472	304	11	.	.	PROPN
brj-24472	304	12	(	(	PUNCT
brj-24472	304	13	2025	2025	NUM
brj-24472	304	14	)	)	PUNCT
brj-24472	304	15	.	.	PUNCT
brj-24472	305	1	“	"	PUNCT
brj-24472	305	2	bamboo	bamboo	NOUN
brj-24472	305	3	furniture	furniture	NOUN
brj-24472	305	4	design	design	NOUN
brj-24472	305	5	,	,	PUNCT
brj-24472	305	6	”	"	PUNCT
brj-24472	305	7	bioresources	bioresource	NOUN
brj-24472	305	8	20(3	20(3	NOUN
brj-24472	305	9	)	)	PUNCT
brj-24472	305	10	,	,	PUNCT
brj-24472	305	11	7107	7107	NUM
brj-24472	305	12	-	-	SYM
brj-24472	305	13	7133	7133	NUM
brj-24472	305	14	.	.	PUNCT
brj-24472	306	1	7123	7123	NUM
brj-24472	306	2	fig	fig	NOUN
brj-24472	306	3	.	.	PUNCT
brj-24472	307	1	6	6	NUM
brj-24472	307	2	.	.	X
brj-24472	307	3	ga	ga	NOUN
brj-24472	307	4	-	-	PUNCT
brj-24472	307	5	bpnn	bpnn	NOUN
brj-24472	307	6	test	test	NOUN
brj-24472	307	7	set	set	VERB
brj-24472	307	8	and	and	CCONJ
brj-24472	307	9	training	training	NOUN
brj-24472	307	10	set	set	VERB
brj-24472	307	11	data	datum	NOUN
brj-24472	307	12	fitting	fitting	ADJ
brj-24472	307	13	plots	plot	NOUN
brj-24472	307	14	table	table	NOUN
brj-24472	307	15	7	7	NUM
brj-24472	307	16	.	.	PUNCT
brj-24472	308	1	the	the	DET
brj-24472	308	2	parameters	parameter	NOUN
brj-24472	308	3	of	of	ADP
brj-24472	308	4	the	the	DET
brj-24472	308	5	kansei	kansei	ADJ
brj-24472	308	6	mapping	mapping	NOUN
brj-24472	308	7	model	model	NOUN
brj-24472	308	8	kansei	kansei	NOUN
brj-24472	308	9	needs	need	VERB
brj-24472	308	10	test	test	NOUN
brj-24472	308	11	set	set	VERB
brj-24472	308	12	fitting	fitting	ADJ
brj-24472	308	13	data	datum	NOUN
brj-24472	308	14	training	training	NOUN
brj-24472	308	15	set	set	VERB
brj-24472	308	16	fitting	fitting	ADJ
brj-24472	308	17	data	datum	NOUN
brj-24472	308	18	r2	r2	PROPN
brj-24472	308	19	rmse	rmse	PROPN
brj-24472	308	20	r2	r2	PROPN
brj-24472	308	21	rmse	rmse	PROPN
brj-24472	308	22	flexible	flexible	PROPN
brj-24472	308	23	0.94525	0.94525	NUM
brj-24472	308	24	0.1851	0.1851	NUM
brj-24472	308	25	0.93664	0.93664	NUM
brj-24472	308	26	0.20964	0.20964	NUM
brj-24472	308	27	soft	soft	ADJ
brj-24472	308	28	0.93553	0.93553	NUM
brj-24472	308	29	0.11221	0.11221	NUM
brj-24472	308	30	0.90787	0.90787	NUM
brj-24472	308	31	0.14133	0.14133	NUM
brj-24472	308	32	tough	tough	ADJ
brj-24472	309	1	0.97773	0.97773	NUM
brj-24472	309	2	0.102	0.102	NUM
brj-24472	309	3	0.92723	0.92723	NUM
brj-24472	309	4	0.17343	0.17343	NUM
brj-24472	309	5	elegant	elegant	ADJ
brj-24472	309	6	0.91897	0.91897	NUM
brj-24472	309	7	0.10353	0.10353	NUM
brj-24472	309	8	0.88314	0.88314	NUM
brj-24472	309	9	0.093295	0.093295	NUM
brj-24472	309	10	in	in	ADP
brj-24472	309	11	addition	addition	NOUN
brj-24472	309	12	,	,	PUNCT
brj-24472	309	13	we	we	PRON
brj-24472	309	14	have	have	AUX
brj-24472	309	15	incorporated	incorporate	VERB
brj-24472	309	16	the	the	DET
brj-24472	309	17	shap	shap	NOUN
brj-24472	309	18	framework	framework	NOUN
brj-24472	309	19	into	into	ADP
brj-24472	309	20	the	the	DET
brj-24472	309	21	ga	ga	PROPN
brj-24472	309	22	-	-	PUNCT
brj-24472	309	23	bpnn	bpnn	NOUN
brj-24472	309	24	algorithm	algorithm	NOUN
brj-24472	309	25	to	to	PART
brj-24472	309	26	analyze	analyze	VERB
brj-24472	309	27	the	the	DET
brj-24472	309	28	contribution	contribution	NOUN
brj-24472	309	29	of	of	ADP
brj-24472	309	30	design	design	NOUN
brj-24472	309	31	features	feature	NOUN
brj-24472	309	32	to	to	ADP
brj-24472	309	33	different	different	ADJ
brj-24472	309	34	user	user	NOUN
brj-24472	309	35	emotions	emotion	NOUN
brj-24472	309	36	.	.	PUNCT
brj-24472	310	1	the	the	DET
brj-24472	310	2	contribution	contribution	NOUN
brj-24472	310	3	of	of	ADP
brj-24472	310	4	each	each	DET
brj-24472	310	5	feature	feature	NOUN
brj-24472	310	6	to	to	ADP
brj-24472	310	7	user	user	NOUN
brj-24472	310	8	emotions	emotion	NOUN
brj-24472	310	9	is	be	AUX
brj-24472	310	10	calculated	calculate	VERB
brj-24472	310	11	,	,	PUNCT
brj-24472	310	12	highlighting	highlight	VERB
brj-24472	310	13	which	which	DET
brj-24472	310	14	design	design	NOUN
brj-24472	310	15	features	feature	NOUN
brj-24472	310	16	have	have	VERB
brj-24472	310	17	a	a	DET
brj-24472	310	18	significant	significant	ADJ
brj-24472	310	19	impact	impact	NOUN
brj-24472	310	20	on	on	ADP
brj-24472	310	21	user	user	NOUN
brj-24472	310	22	emotions	emotion	NOUN
brj-24472	310	23	and	and	CCONJ
brj-24472	310	24	which	which	PRON
brj-24472	310	25	have	have	VERB
brj-24472	310	26	a	a	DET
brj-24472	310	27	smaller	small	ADJ
brj-24472	310	28	effect	effect	NOUN
brj-24472	310	29	.	.	PUNCT
brj-24472	311	1	first	first	ADV
brj-24472	311	2	,	,	PUNCT
brj-24472	311	3	a	a	DET
brj-24472	311	4	bee	bee	NOUN
brj-24472	311	5	swarm	swarm	NOUN
brj-24472	311	6	plot	plot	NOUN
brj-24472	311	7	was	be	AUX
brj-24472	311	8	used	use	VERB
brj-24472	311	9	(	(	PUNCT
brj-24472	311	10	fig	fig	NOUN
brj-24472	311	11	.	.	PUNCT
brj-24472	312	1	7	7	NUM
brj-24472	312	2	)	)	PUNCT
brj-24472	312	3	to	to	PART
brj-24472	312	4	visualize	visualize	VERB
brj-24472	312	5	the	the	DET
brj-24472	312	6	influence	influence	NOUN
brj-24472	312	7	of	of	ADP
brj-24472	312	8	five	five	NUM
brj-24472	312	9	design	design	NOUN
brj-24472	312	10	features	feature	NOUN
brj-24472	312	11	on	on	ADP
brj-24472	312	12	four	four	NUM
brj-24472	312	13	types	type	NOUN
brj-24472	312	14	of	of	ADP
brj-24472	312	15	user	user	NOUN
brj-24472	312	16	emotions	emotion	NOUN
brj-24472	312	17	.	.	PUNCT
brj-24472	313	1	each	each	DET
brj-24472	313	2	point	point	NOUN
brj-24472	313	3	in	in	ADP
brj-24472	313	4	the	the	DET
brj-24472	313	5	bee	bee	NOUN
brj-24472	313	6	swarm	swarm	NOUN
brj-24472	313	7	plot	plot	NOUN
brj-24472	313	8	represents	represent	VERB
brj-24472	313	9	the	the	DET
brj-24472	313	10	shap	shap	PROPN
brj-24472	313	11	value	value	NOUN
brj-24472	313	12	of	of	ADP
brj-24472	313	13	a	a	DET
brj-24472	313	14	specific	specific	ADJ
brj-24472	313	15	feature	feature	NOUN
brj-24472	313	16	for	for	ADP
brj-24472	313	17	a	a	DET
brj-24472	313	18	given	give	VERB
brj-24472	313	19	sample	sample	NOUN
brj-24472	313	20	.	.	PUNCT
brj-24472	314	1	these	these	DET
brj-24472	314	2	points	point	NOUN
brj-24472	314	3	are	be	AUX
brj-24472	314	4	arranged	arrange	VERB
brj-24472	314	5	along	along	ADP
brj-24472	314	6	the	the	DET
brj-24472	314	7	horizontal	horizontal	ADJ
brj-24472	314	8	axis	axis	NOUN
brj-24472	314	9	according	accord	VERB
brj-24472	314	10	to	to	ADP
brj-24472	314	11	the	the	DET
brj-24472	314	12	shap	shap	NOUN
brj-24472	314	13	value	value	NOUN
brj-24472	314	14	of	of	ADP
brj-24472	314	15	the	the	DET
brj-24472	314	16	feature	feature	NOUN
brj-24472	314	17	(	(	PUNCT
brj-24472	314	18	i.e.	i.e.	X
brj-24472	314	19	,	,	PUNCT
brj-24472	314	20	the	the	DET
brj-24472	314	21	contribution	contribution	NOUN
brj-24472	314	22	of	of	ADP
brj-24472	314	23	the	the	DET
brj-24472	314	24	feature	feature	NOUN
brj-24472	314	25	to	to	ADP
brj-24472	314	26	the	the	DET
brj-24472	314	27	prediction	prediction	NOUN
brj-24472	314	28	result	result	NOUN
brj-24472	314	29	)	)	PUNCT
brj-24472	314	30	,	,	PUNCT
brj-24472	314	31	while	while	SCONJ
brj-24472	314	32	the	the	DET
brj-24472	314	33	vertical	vertical	ADJ
brj-24472	314	34	position	position	NOUN
brj-24472	314	35	(	(	PUNCT
brj-24472	314	36	i.e.	i.e.	X
brj-24472	314	37	,	,	PUNCT
brj-24472	314	38	the	the	DET
brj-24472	314	39	position	position	NOUN
brj-24472	314	40	along	along	ADP
brj-24472	314	41	the	the	DET
brj-24472	314	42	vertical	vertical	ADJ
brj-24472	314	43	axis	axis	NOUN
brj-24472	314	44	)	)	PUNCT
brj-24472	314	45	helps	help	VERB
brj-24472	314	46	display	display	VERB
brj-24472	314	47	the	the	DET
brj-24472	314	48	distribution	distribution	NOUN
brj-24472	314	49	of	of	ADP
brj-24472	314	50	different	different	ADJ
brj-24472	314	51	features	feature	NOUN
brj-24472	314	52	.	.	PUNCT
brj-24472	315	1	additionally	additionally	ADV
brj-24472	315	2	,	,	PUNCT
brj-24472	315	3	a	a	DET
brj-24472	315	4	bar	bar	NOUN
brj-24472	315	5	chart	chart	NOUN
brj-24472	315	6	was	be	AUX
brj-24472	315	7	used	use	VERB
brj-24472	315	8	to	to	PART
brj-24472	315	9	show	show	VERB
brj-24472	315	10	the	the	DET
brj-24472	315	11	average	average	ADJ
brj-24472	315	12	impact	impact	NOUN
brj-24472	315	13	of	of	ADP
brj-24472	315	14	the	the	DET
brj-24472	315	15	design	design	NOUN
brj-24472	315	16	features	feature	NOUN
brj-24472	315	17	,	,	PUNCT
brj-24472	315	18	representing	represent	VERB
brj-24472	315	19	the	the	DET
brj-24472	315	20	overall	overall	ADJ
brj-24472	315	21	contribution	contribution	NOUN
brj-24472	315	22	of	of	ADP
brj-24472	315	23	different	different	ADJ
brj-24472	315	24	design	design	NOUN
brj-24472	315	25	features	feature	NOUN
brj-24472	315	26	to	to	ADP
brj-24472	315	27	user	user	NOUN
brj-24472	315	28	emotion	emotion	NOUN
brj-24472	315	29	prediction	prediction	NOUN
brj-24472	315	30	results	result	NOUN
brj-24472	315	31	,	,	PUNCT
brj-24472	315	32	as	as	SCONJ
brj-24472	315	33	shown	show	VERB
brj-24472	315	34	in	in	ADP
brj-24472	315	35	fig	fig	NOUN
brj-24472	315	36	.	.	PUNCT
brj-24472	316	1	8	8	NUM
brj-24472	316	2	.	.	X
brj-24472	316	3	peer	peer	NOUN
brj-24472	316	4	-	-	PUNCT
brj-24472	316	5	reviewed	review	VERB
brj-24472	316	6	article	article	NOUN
brj-24472	316	7	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	316	8	huang	huang	PROPN
brj-24472	316	9	et	et	PROPN
brj-24472	316	10	al	al	PROPN
brj-24472	316	11	.	.	PROPN
brj-24472	316	12	(	(	PUNCT
brj-24472	316	13	2025	2025	NUM
brj-24472	316	14	)	)	PUNCT
brj-24472	316	15	.	.	PUNCT
brj-24472	317	1	“	"	PUNCT
brj-24472	317	2	bamboo	bamboo	NOUN
brj-24472	317	3	furniture	furniture	NOUN
brj-24472	317	4	design	design	NOUN
brj-24472	317	5	,	,	PUNCT
brj-24472	317	6	”	"	PUNCT
brj-24472	317	7	bioresources	bioresource	NOUN
brj-24472	317	8	20(3	20(3	NOUN
brj-24472	317	9	)	)	PUNCT
brj-24472	317	10	,	,	PUNCT
brj-24472	317	11	7107	7107	NUM
brj-24472	317	12	-	-	SYM
brj-24472	317	13	7133	7133	NUM
brj-24472	317	14	.	.	PUNCT
brj-24472	318	1	7124	7124	NUM
brj-24472	318	2	fig	fig	NOUN
brj-24472	318	3	.	.	PUNCT
brj-24472	319	1	7	7	X
brj-24472	319	2	.	.	X
brj-24472	319	3	shap	shap	PROPN
brj-24472	319	4	swarm	swarm	PROPN
brj-24472	319	5	diagram	diagram	PROPN
brj-24472	319	6	fig	fig	NOUN
brj-24472	319	7	.	.	PUNCT
brj-24472	320	1	8	8	X
brj-24472	320	2	.	.	X
brj-24472	320	3	shap	shap	PROPN
brj-24472	320	4	bar	bar	PROPN
brj-24472	320	5	graph	graph	NOUN
brj-24472	320	6	peer	peer	NOUN
brj-24472	320	7	-	-	PUNCT
brj-24472	320	8	reviewed	review	VERB
brj-24472	320	9	article	article	NOUN
brj-24472	320	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	320	11	huang	huang	PROPN
brj-24472	320	12	et	et	PROPN
brj-24472	320	13	al	al	PROPN
brj-24472	320	14	.	.	PROPN
brj-24472	320	15	(	(	PUNCT
brj-24472	320	16	2025	2025	NUM
brj-24472	320	17	)	)	PUNCT
brj-24472	320	18	.	.	PUNCT
brj-24472	321	1	“	"	PUNCT
brj-24472	321	2	bamboo	bamboo	NOUN
brj-24472	321	3	furniture	furniture	NOUN
brj-24472	321	4	design	design	NOUN
brj-24472	321	5	,	,	PUNCT
brj-24472	321	6	”	"	PUNCT
brj-24472	321	7	bioresources	bioresource	NOUN
brj-24472	321	8	20(3	20(3	NOUN
brj-24472	321	9	)	)	PUNCT
brj-24472	321	10	,	,	PUNCT
brj-24472	321	11	7107	7107	NUM
brj-24472	321	12	-	-	SYM
brj-24472	321	13	7133	7133	NUM
brj-24472	321	14	.	.	PUNCT
brj-24472	322	1	7125	7125	NUM
brj-24472	322	2	the	the	DET
brj-24472	322	3	users	user	NOUN
brj-24472	322	4	’	’	PART
brj-24472	322	5	demand	demand	NOUN
brj-24472	322	6	of	of	ADP
brj-24472	322	7	“	"	PUNCT
brj-24472	322	8	flexible	flexible	ADJ
brj-24472	322	9	”	"	PUNCT
brj-24472	322	10	is	be	AUX
brj-24472	322	11	taken	take	VERB
brj-24472	322	12	as	as	ADP
brj-24472	322	13	an	an	DET
brj-24472	322	14	example	example	NOUN
brj-24472	322	15	;	;	PUNCT
brj-24472	322	16	the	the	DET
brj-24472	322	17	validity	validity	NOUN
brj-24472	322	18	of	of	ADP
brj-24472	322	19	the	the	DET
brj-24472	322	20	proposed	propose	VERB
brj-24472	322	21	research	research	NOUN
brj-24472	322	22	framework	framework	NOUN
brj-24472	322	23	is	be	AUX
brj-24472	322	24	verified	verify	VERB
brj-24472	322	25	.	.	PUNCT
brj-24472	323	1	the	the	DET
brj-24472	323	2	five	five	NUM
brj-24472	323	3	design	design	NOUN
brj-24472	323	4	components	component	NOUN
brj-24472	323	5	extracted	extract	VERB
brj-24472	323	6	by	by	ADP
brj-24472	323	7	the	the	DET
brj-24472	323	8	expert	expert	NOUN
brj-24472	323	9	group	group	NOUN
brj-24472	323	10	have	have	VERB
brj-24472	323	11	a	a	DET
brj-24472	323	12	total	total	NOUN
brj-24472	323	13	of	of	ADP
brj-24472	323	14	6×5×5×5×5=3750	6×5×5×5×5=3750	NUM
brj-24472	323	15	design	design	NOUN
brj-24472	323	16	combinations	combination	NOUN
brj-24472	323	17	.	.	PUNCT
brj-24472	324	1	the	the	DET
brj-24472	324	2	design	design	NOUN
brj-24472	324	3	combination	combination	NOUN
brj-24472	324	4	data	datum	NOUN
brj-24472	324	5	set	set	VERB
brj-24472	324	6	is	be	AUX
brj-24472	324	7	encoded	encode	VERB
brj-24472	324	8	as	as	ADP
brj-24472	324	9	ga	ga	NOUN
brj-24472	324	10	-	-	PUNCT
brj-24472	324	11	bpnn	bpnn	NOUN
brj-24472	324	12	input	input	NOUN
brj-24472	324	13	layer	layer	NOUN
brj-24472	324	14	parameters	parameter	NOUN
brj-24472	324	15	;	;	PUNCT
brj-24472	324	16	and	and	CCONJ
brj-24472	324	17	the	the	DET
brj-24472	324	18	corresponding	corresponding	ADJ
brj-24472	324	19	kansei	kansei	ADJ
brj-24472	324	20	evaluation	evaluation	NOUN
brj-24472	324	21	is	be	AUX
brj-24472	324	22	calculated	calculate	VERB
brj-24472	324	23	by	by	ADP
brj-24472	324	24	mapping	mapping	NOUN
brj-24472	324	25	model	model	NOUN
brj-24472	324	26	,	,	PUNCT
brj-24472	324	27	among	among	ADP
brj-24472	324	28	which	which	PRON
brj-24472	324	29	the	the	DET
brj-24472	324	30	highest	high	ADJ
brj-24472	324	31	kansei	kansei	ADJ
brj-24472	324	32	evaluation	evaluation	NOUN
brj-24472	324	33	is	be	AUX
brj-24472	324	34	4.3368	4.3368	NUM
brj-24472	324	35	.	.	PUNCT
brj-24472	325	1	the	the	DET
brj-24472	325	2	corresponding	correspond	VERB
brj-24472	325	3	design	design	NOUN
brj-24472	325	4	combination	combination	NOUN
brj-24472	325	5	parameter	parameter	NOUN
brj-24472	325	6	is	be	AUX
brj-24472	325	7	(	(	PUNCT
brj-24472	325	8	5,1,1,2,5	5,1,1,2,5	NUM
brj-24472	325	9	)	)	PUNCT
brj-24472	325	10	;	;	PUNCT
brj-24472	325	11	the	the	DET
brj-24472	325	12	feature	feature	NOUN
brj-24472	325	13	parameters	parameter	NOUN
brj-24472	325	14	correspond	correspond	VERB
brj-24472	325	15	to	to	ADP
brj-24472	325	16	the	the	DET
brj-24472	325	17	backrest	backrest	ADJ
brj-24472	325	18	5	5	NUM
brj-24472	325	19	,	,	PUNCT
brj-24472	325	20	seat	seat	NOUN
brj-24472	325	21	cushion	cushion	NOUN
brj-24472	325	22	1	1	NUM
brj-24472	325	23	,	,	PUNCT
brj-24472	325	24	support	support	NOUN
brj-24472	325	25	2	2	NUM
brj-24472	325	26	and	and	CCONJ
brj-24472	325	27	texture	texture	NOUN
brj-24472	325	28	5	5	NUM
brj-24472	325	29	in	in	ADP
brj-24472	325	30	the	the	DET
brj-24472	325	31	morphological	morphological	ADJ
brj-24472	325	32	feature	feature	NOUN
brj-24472	325	33	table	table	NOUN
brj-24472	325	34	.	.	PUNCT
brj-24472	326	1	based	base	VERB
brj-24472	326	2	on	on	ADP
brj-24472	326	3	the	the	DET
brj-24472	326	4	shap	shap	PROPN
brj-24472	326	5	results	result	NOUN
brj-24472	326	6	,	,	PUNCT
brj-24472	326	7	in	in	ADP
brj-24472	326	8	the	the	DET
brj-24472	326	9	user	user	NOUN
brj-24472	326	10	emotion	emotion	NOUN
brj-24472	326	11	"	"	PUNCT
brj-24472	326	12	flexible	flexible	ADJ
brj-24472	326	13	,	,	PUNCT
brj-24472	326	14	"	"	PUNCT
brj-24472	326	15	the	the	DET
brj-24472	326	16	influence	influence	NOUN
brj-24472	326	17	of	of	ADP
brj-24472	326	18	"	"	PUNCT
brj-24472	326	19	the	the	DET
brj-24472	326	20	way	way	NOUN
brj-24472	326	21	of	of	ADP
brj-24472	326	22	bamboo	bamboo	NOUN
brj-24472	326	23	-	-	PUNCT
brj-24472	326	24	weaving	weaving	NOUN
brj-24472	326	25	"	"	PUNCT
brj-24472	326	26	(	(	PUNCT
brj-24472	326	27	x5	x5	PROPN
brj-24472	326	28	)	)	PUNCT
brj-24472	326	29	and	and	CCONJ
brj-24472	326	30	"	"	PUNCT
brj-24472	326	31	the	the	DET
brj-24472	326	32	seat	seat	NOUN
brj-24472	326	33	surface	surface	NOUN
brj-24472	326	34	"	"	PUNCT
brj-24472	326	35	(	(	PUNCT
brj-24472	326	36	x2	x2	PROPN
brj-24472	326	37	)	)	PUNCT
brj-24472	326	38	is	be	AUX
brj-24472	326	39	the	the	DET
brj-24472	326	40	highest	high	ADJ
brj-24472	326	41	,	,	PUNCT
brj-24472	326	42	making	make	VERB
brj-24472	326	43	them	they	PRON
brj-24472	326	44	the	the	DET
brj-24472	326	45	focal	focal	ADJ
brj-24472	326	46	points	point	NOUN
brj-24472	326	47	of	of	ADP
brj-24472	326	48	the	the	DET
brj-24472	326	49	design	design	NOUN
brj-24472	326	50	.	.	PUNCT
brj-24472	327	1	"	"	PUNCT
brj-24472	327	2	the	the	DET
brj-24472	327	3	back	back	NOUN
brj-24472	327	4	of	of	ADP
brj-24472	327	5	the	the	DET
brj-24472	327	6	chair	chair	NOUN
brj-24472	327	7	"	"	PUNCT
brj-24472	327	8	(	(	PUNCT
brj-24472	327	9	x1	x1	PROPN
brj-24472	327	10	)	)	PUNCT
brj-24472	327	11	and	and	CCONJ
brj-24472	327	12	"	"	PUNCT
brj-24472	327	13	the	the	DET
brj-24472	327	14	armrest	armrest	NOUN
brj-24472	327	15	"	"	PUNCT
brj-24472	327	16	(	(	PUNCT
brj-24472	327	17	x3	x3	ADJ
brj-24472	327	18	)	)	PUNCT
brj-24472	327	19	have	have	VERB
brj-24472	327	20	a	a	DET
brj-24472	327	21	moderate	moderate	ADJ
brj-24472	327	22	level	level	NOUN
brj-24472	327	23	of	of	ADP
brj-24472	327	24	influence	influence	NOUN
brj-24472	327	25	and	and	CCONJ
brj-24472	327	26	should	should	AUX
brj-24472	327	27	still	still	ADV
brj-24472	327	28	be	be	AUX
brj-24472	327	29	considered	consider	VERB
brj-24472	327	30	during	during	ADP
brj-24472	327	31	the	the	DET
brj-24472	327	32	design	design	NOUN
brj-24472	327	33	process	process	NOUN
brj-24472	327	34	.	.	PUNCT
brj-24472	328	1	"	"	PUNCT
brj-24472	328	2	the	the	DET
brj-24472	328	3	legs	leg	NOUN
brj-24472	328	4	"	"	PUNCT
brj-24472	328	5	(	(	PUNCT
brj-24472	328	6	x4	x4	PROPN
brj-24472	328	7	)	)	PUNCT
brj-24472	328	8	have	have	VERB
brj-24472	328	9	the	the	DET
brj-24472	328	10	lowest	low	ADJ
brj-24472	328	11	level	level	NOUN
brj-24472	328	12	of	of	ADP
brj-24472	328	13	influence	influence	NOUN
brj-24472	328	14	,	,	PUNCT
brj-24472	328	15	and	and	CCONJ
brj-24472	328	16	thus	thus	ADV
brj-24472	328	17	are	be	AUX
brj-24472	328	18	not	not	PART
brj-24472	328	19	a	a	DET
brj-24472	328	20	primary	primary	ADJ
brj-24472	328	21	consideration	consideration	NOUN
brj-24472	328	22	in	in	ADP
brj-24472	328	23	the	the	DET
brj-24472	328	24	design	design	NOUN
brj-24472	328	25	process	process	NOUN
brj-24472	328	26	.	.	PUNCT
brj-24472	329	1	based	base	VERB
brj-24472	329	2	on	on	ADP
brj-24472	329	3	the	the	DET
brj-24472	329	4	optimal	optimal	ADJ
brj-24472	329	5	design	design	NOUN
brj-24472	329	6	parameter	parameter	NOUN
brj-24472	329	7	combination	combination	NOUN
brj-24472	329	8	predicted	predict	VERB
brj-24472	329	9	by	by	ADP
brj-24472	329	10	the	the	DET
brj-24472	329	11	ga	ga	PROPN
brj-24472	329	12	-	-	PUNCT
brj-24472	329	13	bpnn	bpnn	NOUN
brj-24472	329	14	and	and	CCONJ
brj-24472	329	15	the	the	DET
brj-24472	329	16	most	most	ADV
brj-24472	329	17	influential	influential	ADJ
brj-24472	329	18	design	design	NOUN
brj-24472	329	19	features	feature	NOUN
brj-24472	329	20	identified	identify	VERB
brj-24472	329	21	through	through	ADP
brj-24472	329	22	shap	shap	PROPN
brj-24472	329	23	analysis	analysis	NOUN
brj-24472	329	24	,	,	PUNCT
brj-24472	329	25	we	we	PRON
brj-24472	329	26	have	have	AUX
brj-24472	329	27	conducted	conduct	VERB
brj-24472	329	28	a	a	DET
brj-24472	329	29	comprehensive	comprehensive	ADJ
brj-24472	329	30	design	design	NOUN
brj-24472	329	31	of	of	ADP
brj-24472	329	32	the	the	DET
brj-24472	329	33	chair	chair	NOUN
brj-24472	329	34	.	.	PUNCT
brj-24472	330	1	aigc	aigc	PROPN
brj-24472	330	2	is	be	AUX
brj-24472	330	3	used	use	VERB
brj-24472	330	4	to	to	PART
brj-24472	330	5	generate	generate	VERB
brj-24472	330	6	images	image	NOUN
brj-24472	330	7	and	and	CCONJ
brj-24472	330	8	the	the	DET
brj-24472	330	9	key	key	ADJ
brj-24472	330	10	words	word	NOUN
brj-24472	330	11	of	of	ADP
brj-24472	330	12	“	"	PUNCT
brj-24472	330	13	flexible	flexible	ADJ
brj-24472	330	14	”	"	PUNCT
brj-24472	330	15	and	and	CCONJ
brj-24472	330	16	“	"	PUNCT
brj-24472	330	17	bamboo	bamboo	NOUN
brj-24472	330	18	chair	chair	NOUN
brj-24472	330	19	”	"	PUNCT
brj-24472	330	20	are	be	AUX
brj-24472	330	21	added	add	VERB
brj-24472	330	22	after	after	ADP
brj-24472	330	23	repeated	repeat	VERB
brj-24472	330	24	training	training	NOUN
brj-24472	330	25	to	to	PART
brj-24472	330	26	generate	generate	VERB
brj-24472	330	27	product	product	NOUN
brj-24472	330	28	images	image	NOUN
brj-24472	330	29	,	,	PUNCT
brj-24472	330	30	as	as	SCONJ
brj-24472	330	31	shown	show	VERB
brj-24472	330	32	in	in	ADP
brj-24472	330	33	fig	fig	NOUN
brj-24472	330	34	.	.	PUNCT
brj-24472	331	1	9	9	X
brj-24472	331	2	.	.	X
brj-24472	332	1	at	at	ADP
brj-24472	332	2	the	the	DET
brj-24472	332	3	same	same	ADJ
brj-24472	332	4	time	time	NOUN
brj-24472	332	5	,	,	PUNCT
brj-24472	332	6	this	this	DET
brj-24472	332	7	study	study	NOUN
brj-24472	332	8	carried	carry	VERB
brj-24472	332	9	out	out	ADP
brj-24472	332	10	a	a	DET
brj-24472	332	11	detailed	detailed	ADJ
brj-24472	332	12	dimensional	dimensional	ADJ
brj-24472	332	13	design	design	NOUN
brj-24472	332	14	of	of	ADP
brj-24472	332	15	the	the	DET
brj-24472	332	16	bamboo	bamboo	NOUN
brj-24472	332	17	chair	chair	NOUN
brj-24472	332	18	based	base	VERB
brj-24472	332	19	on	on	ADP
brj-24472	332	20	ergonomic	ergonomic	ADJ
brj-24472	332	21	principles	principle	NOUN
brj-24472	332	22	and	and	CCONJ
brj-24472	332	23	constructed	construct	VERB
brj-24472	332	24	an	an	DET
brj-24472	332	25	accurate	accurate	ADJ
brj-24472	332	26	product	product	NOUN
brj-24472	332	27	model	model	NOUN
brj-24472	332	28	using	use	VERB
brj-24472	332	29	rhino7.5	rhino7.5	DET
brj-24472	332	30	3d	3d	PROPN
brj-24472	332	31	modelling	modelling	NOUN
brj-24472	332	32	software	software	NOUN
brj-24472	332	33	.	.	PUNCT
brj-24472	333	1	the	the	DET
brj-24472	333	2	design	design	NOUN
brj-24472	333	3	provides	provide	VERB
brj-24472	333	4	a	a	DET
brj-24472	333	5	reliable	reliable	ADJ
brj-24472	333	6	size	size	NOUN
brj-24472	333	7	reference	reference	NOUN
brj-24472	333	8	basis	basis	NOUN
brj-24472	333	9	for	for	ADP
brj-24472	333	10	similar	similar	ADJ
brj-24472	333	11	furniture	furniture	NOUN
brj-24472	333	12	,	,	PUNCT
brj-24472	333	13	and	and	CCONJ
brj-24472	333	14	its	its	PRON
brj-24472	333	15	complete	complete	ADJ
brj-24472	333	16	three	three	NUM
brj-24472	333	17	-	-	PUNCT
brj-24472	333	18	view	view	NOUN
brj-24472	333	19	display	display	NOUN
brj-24472	333	20	is	be	AUX
brj-24472	333	21	shown	show	VERB
brj-24472	333	22	in	in	ADP
brj-24472	333	23	fig	fig	NOUN
brj-24472	333	24	.	.	PUNCT
brj-24472	334	1	10	10	NUM
brj-24472	334	2	.	.	PUNCT
brj-24472	335	1	with	with	ADP
brj-24472	335	2	its	its	PRON
brj-24472	335	3	unique	unique	ADJ
brj-24472	335	4	design	design	NOUN
brj-24472	335	5	concept	concept	NOUN
brj-24472	335	6	,	,	PUNCT
brj-24472	335	7	the	the	DET
brj-24472	335	8	flexible	flexible	ADJ
brj-24472	335	9	bamboo	bamboo	NOUN
brj-24472	335	10	chair	chair	NOUN
brj-24472	335	11	shows	show	VERB
brj-24472	335	12	the	the	DET
brj-24472	335	13	combination	combination	NOUN
brj-24472	335	14	of	of	ADP
brj-24472	335	15	nature	nature	NOUN
brj-24472	335	16	and	and	CCONJ
brj-24472	335	17	practicality	practicality	NOUN
brj-24472	335	18	.	.	PUNCT
brj-24472	336	1	the	the	DET
brj-24472	336	2	curved	curved	ADJ
brj-24472	336	3	backrest	backrest	NOUN
brj-24472	336	4	fits	fit	VERB
brj-24472	336	5	the	the	DET
brj-24472	336	6	curve	curve	NOUN
brj-24472	336	7	of	of	ADP
brj-24472	336	8	the	the	DET
brj-24472	336	9	body	body	NOUN
brj-24472	336	10	,	,	PUNCT
brj-24472	336	11	which	which	PRON
brj-24472	336	12	provides	provide	VERB
brj-24472	336	13	comfortable	comfortable	ADJ
brj-24472	336	14	support	support	NOUN
brj-24472	336	15	.	.	PUNCT
brj-24472	337	1	the	the	DET
brj-24472	337	2	folding	fold	VERB
brj-24472	337	3	handrail	handrail	NOUN
brj-24472	337	4	design	design	NOUN
brj-24472	337	5	is	be	AUX
brj-24472	337	6	flexible	flexible	ADJ
brj-24472	337	7	and	and	CCONJ
brj-24472	337	8	convenient	convenient	ADJ
brj-24472	337	9	for	for	SCONJ
brj-24472	337	10	users	user	NOUN
brj-24472	337	11	to	to	PART
brj-24472	337	12	relax	relax	VERB
brj-24472	337	13	.	.	PUNCT
brj-24472	338	1	the	the	DET
brj-24472	338	2	square	square	ADJ
brj-24472	338	3	cushion	cushion	NOUN
brj-24472	338	4	is	be	AUX
brj-24472	338	5	simple	simple	ADJ
brj-24472	338	6	and	and	CCONJ
brj-24472	338	7	generous	generous	ADJ
brj-24472	338	8	,	,	PUNCT
brj-24472	338	9	which	which	PRON
brj-24472	338	10	complements	complement	VERB
brj-24472	338	11	the	the	DET
brj-24472	338	12	warm	warm	ADJ
brj-24472	338	13	texture	texture	NOUN
brj-24472	338	14	of	of	ADP
brj-24472	338	15	bamboo	bamboo	NOUN
brj-24472	338	16	with	with	ADP
brj-24472	338	17	each	each	DET
brj-24472	338	18	other	other	ADJ
brj-24472	338	19	.	.	PUNCT
brj-24472	339	1	the	the	DET
brj-24472	339	2	support	support	NOUN
brj-24472	339	3	of	of	ADP
brj-24472	339	4	the	the	DET
brj-24472	339	5	chair	chair	NOUN
brj-24472	339	6	consists	consist	VERB
brj-24472	339	7	of	of	ADP
brj-24472	339	8	four	four	NUM
brj-24472	339	9	external	external	ADJ
brj-24472	339	10	expansion	expansion	NOUN
brj-24472	339	11	parts	part	NOUN
brj-24472	339	12	to	to	PART
brj-24472	339	13	ensure	ensure	VERB
brj-24472	339	14	stability	stability	NOUN
brj-24472	339	15	and	and	CCONJ
brj-24472	339	16	sense	sense	NOUN
brj-24472	339	17	of	of	ADP
brj-24472	339	18	security	security	NOUN
brj-24472	339	19	.	.	PUNCT
brj-24472	340	1	the	the	DET
brj-24472	340	2	skew	skew	PROPN
brj-24472	340	3	cross	cross	NOUN
brj-24472	340	4	bamboo	bamboo	NOUN
brj-24472	340	5	weaving	weaving	NOUN
brj-24472	340	6	process	process	NOUN
brj-24472	340	7	enhances	enhance	VERB
brj-24472	340	8	the	the	DET
brj-24472	340	9	robustness	robustness	NOUN
brj-24472	340	10	of	of	ADP
brj-24472	340	11	the	the	DET
brj-24472	340	12	structure	structure	NOUN
brj-24472	340	13	and	and	CCONJ
brj-24472	340	14	at	at	ADP
brj-24472	340	15	the	the	DET
brj-24472	340	16	same	same	ADJ
brj-24472	340	17	time	time	NOUN
brj-24472	340	18	,	,	PUNCT
brj-24472	340	19	it	it	PRON
brj-24472	340	20	gives	give	VERB
brj-24472	340	21	the	the	DET
brj-24472	340	22	chair	chair	NOUN
brj-24472	340	23	a	a	DET
brj-24472	340	24	light	light	ADJ
brj-24472	340	25	visual	visual	ADJ
brj-24472	340	26	effect	effect	NOUN
brj-24472	340	27	.	.	PUNCT
brj-24472	341	1	fig	fig	NOUN
brj-24472	341	2	.	.	PUNCT
brj-24472	342	1	9	9	X
brj-24472	342	2	.	.	PUNCT
brj-24472	342	3	“	"	PUNCT
brj-24472	342	4	flexible	flexible	ADJ
brj-24472	342	5	”	"	PUNCT
brj-24472	342	6	bamboo	bamboo	NOUN
brj-24472	342	7	chair	chair	NOUN
brj-24472	342	8	sensuous	sensuous	ADJ
brj-24472	342	9	intentional	intentional	ADJ
brj-24472	342	10	design	design	NOUN
brj-24472	342	11	practice	practice	NOUN
brj-24472	342	12	peer	peer	NOUN
brj-24472	342	13	-	-	PUNCT
brj-24472	342	14	reviewed	review	VERB
brj-24472	342	15	article	article	NOUN
brj-24472	342	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	342	17	huang	huang	PROPN
brj-24472	342	18	et	et	PROPN
brj-24472	342	19	al	al	PROPN
brj-24472	342	20	.	.	PROPN
brj-24472	343	1	(	(	PUNCT
brj-24472	343	2	2025	2025	NUM
brj-24472	343	3	)	)	PUNCT
brj-24472	343	4	.	.	PUNCT
brj-24472	344	1	“	"	PUNCT
brj-24472	344	2	bamboo	bamboo	NOUN
brj-24472	344	3	furniture	furniture	NOUN
brj-24472	344	4	design	design	NOUN
brj-24472	344	5	,	,	PUNCT
brj-24472	344	6	”	"	PUNCT
brj-24472	344	7	bioresources	bioresource	NOUN
brj-24472	344	8	20(3	20(3	NOUN
brj-24472	344	9	)	)	PUNCT
brj-24472	344	10	,	,	PUNCT
brj-24472	344	11	7107	7107	NUM
brj-24472	344	12	-	-	SYM
brj-24472	344	13	7133	7133	NUM
brj-24472	344	14	.	.	PUNCT
brj-24472	345	1	7126	7126	NUM
brj-24472	345	2	fig	fig	NOUN
brj-24472	345	3	.	.	PUNCT
brj-24472	346	1	10	10	NUM
brj-24472	346	2	.	.	PUNCT
brj-24472	347	1	“	"	PUNCT
brj-24472	347	2	flexible	flexible	ADJ
brj-24472	347	3	”	"	PUNCT
brj-24472	347	4	bamboo	bamboo	NOUN
brj-24472	347	5	chair	chair	NOUN
brj-24472	347	6	three	three	NUM
brj-24472	347	7	views	view	NOUN
brj-24472	347	8	and	and	CCONJ
brj-24472	347	9	dimensions	dimension	NOUN
brj-24472	347	10	finally	finally	ADV
brj-24472	347	11	,	,	PUNCT
brj-24472	347	12	the	the	DET
brj-24472	347	13	questionnaire	questionnaire	NOUN
brj-24472	347	14	of	of	ADP
brj-24472	347	15	flexible	flexible	ADJ
brj-24472	347	16	bamboo	bamboo	NOUN
brj-24472	347	17	chairs	chair	NOUN
brj-24472	347	18	’	'	PUNCT
brj-24472	347	19	kansei	kansei	VERB
brj-24472	347	20	design	design	NOUN
brj-24472	347	21	scheme	scheme	NOUN
brj-24472	347	22	was	be	AUX
brj-24472	347	23	adopted	adopt	VERB
brj-24472	347	24	by	by	ADP
brj-24472	347	25	using	use	VERB
brj-24472	347	26	the	the	DET
brj-24472	347	27	7	7	NUM
brj-24472	347	28	-	-	PUNCT
brj-24472	347	29	step	step	NOUN
brj-24472	347	30	likert	likert	ADJ
brj-24472	347	31	scale	scale	NOUN
brj-24472	347	32	.	.	PUNCT
brj-24472	348	1	the	the	DET
brj-24472	348	2	perceptual	perceptual	ADJ
brj-24472	348	3	evaluation	evaluation	NOUN
brj-24472	348	4	study	study	NOUN
brj-24472	348	5	employed	employ	VERB
brj-24472	348	6	a	a	DET
brj-24472	348	7	rigorously	rigorously	ADV
brj-24472	348	8	designed	design	VERB
brj-24472	348	9	7	7	NUM
brj-24472	348	10	-	-	PUNCT
brj-24472	348	11	point	point	NOUN
brj-24472	348	12	likert	likert	ADJ
brj-24472	348	13	scale	scale	NOUN
brj-24472	348	14	questionnaire	questionnaire	NOUN
brj-24472	348	15	(	(	PUNCT
brj-24472	348	16	1	1	NUM
brj-24472	348	17	=	=	PUNCT
brj-24472	348	18	"	"	PUNCT
brj-24472	348	19	strongly	strongly	ADV
brj-24472	348	20	disagree	disagree	VERB
brj-24472	348	21	"	"	PUNCT
brj-24472	348	22	to	to	ADP
brj-24472	348	23	7	7	NUM
brj-24472	348	24	=	=	PUNCT
brj-24472	348	25	"	"	PUNCT
brj-24472	348	26	strongly	strongly	ADV
brj-24472	348	27	agree	agree	VERB
brj-24472	348	28	"	"	PUNCT
brj-24472	348	29	)	)	PUNCT
brj-24472	348	30	to	to	PART
brj-24472	348	31	assess	assess	VERB
brj-24472	348	32	flexible	flexible	ADJ
brj-24472	348	33	bamboo	bamboo	NOUN
brj-24472	348	34	chair	chair	NOUN
brj-24472	348	35	designs	design	NOUN
brj-24472	348	36	,	,	PUNCT
brj-24472	348	37	with	with	ADP
brj-24472	348	38	100	100	NUM
brj-24472	348	39	qualified	qualified	ADJ
brj-24472	348	40	participants	participant	NOUN
brj-24472	348	41	(	(	PUNCT
brj-24472	348	42	52	52	NUM
brj-24472	348	43	female	female	NOUN
brj-24472	348	44	,	,	PUNCT
brj-24472	348	45	48	48	NUM
brj-24472	348	46	male	male	NOUN
brj-24472	348	47	;	;	PUNCT
brj-24472	348	48	aged	aged	ADJ
brj-24472	348	49	18	18	NUM
brj-24472	348	50	-	-	SYM
brj-24472	348	51	45	45	NUM
brj-24472	348	52	)	)	PUNCT
brj-24472	348	53	recruited	recruit	VERB
brj-24472	348	54	through	through	ADP
brj-24472	348	55	stratified	stratified	ADJ
brj-24472	348	56	sampling	sampling	NOUN
brj-24472	348	57	across	across	ADP
brj-24472	348	58	three	three	NUM
brj-24472	348	59	representative	representative	ADJ
brj-24472	348	60	cohorts	cohort	NOUN
brj-24472	348	61	:	:	PUNCT
brj-24472	348	62	30	30	NUM
brj-24472	348	63	%	%	NOUN
brj-24472	348	64	professional	professional	ADJ
brj-24472	348	65	furniture	furniture	NOUN
brj-24472	348	66	designers	designer	NOUN
brj-24472	348	67	,	,	PUNCT
brj-24472	348	68	40	40	NUM
brj-24472	348	69	%	%	NOUN
brj-24472	348	70	frequent	frequent	ADJ
brj-24472	348	71	eco	eco	NOUN
brj-24472	348	72	-	-	PUNCT
brj-24472	348	73	friendly	friendly	ADJ
brj-24472	348	74	furniture	furniture	NOUN
brj-24472	348	75	consumers	consumer	NOUN
brj-24472	348	76	,	,	PUNCT
brj-24472	348	77	and	and	CCONJ
brj-24472	348	78	30	30	NUM
brj-24472	348	79	%	%	NOUN
brj-24472	348	80	home	home	NOUN
brj-24472	348	81	furnishing	furnish	VERB
brj-24472	348	82	retail	retail	ADJ
brj-24472	348	83	purchasers	purchaser	NOUN
brj-24472	348	84	,	,	PUNCT
brj-24472	348	85	all	all	PRON
brj-24472	348	86	screened	screen	VERB
brj-24472	348	87	for	for	ADP
brj-24472	348	88	minimum	minimum	ADJ
brj-24472	348	89	2	2	NUM
brj-24472	348	90	years	year	NOUN
brj-24472	348	91	of	of	ADP
brj-24472	348	92	furniture	furniture	NOUN
brj-24472	348	93	usage	usage	NOUN
brj-24472	348	94	experience	experience	NOUN
brj-24472	348	95	and	and	CCONJ
brj-24472	348	96	material	material	NOUN
brj-24472	348	97	bias	bias	NOUN
brj-24472	348	98	exclusion	exclusion	NOUN
brj-24472	348	99	.	.	PUNCT
brj-24472	349	1	the	the	DET
brj-24472	349	2	survey	survey	NOUN
brj-24472	349	3	was	be	AUX
brj-24472	349	4	administered	administer	VERB
brj-24472	349	5	under	under	ADP
brj-24472	349	6	controlled	control	VERB
brj-24472	349	7	environmental	environmental	ADJ
brj-24472	349	8	conditions	condition	NOUN
brj-24472	349	9	via	via	ADP
brj-24472	349	10	credamo	credamo	NOUN
brj-24472	349	11	platform	platform	NOUN
brj-24472	349	12	with	with	ADP
brj-24472	349	13	attention	attention	NOUN
brj-24472	349	14	-	-	PUNCT
brj-24472	349	15	check	check	NOUN
brj-24472	349	16	questions	question	NOUN
brj-24472	349	17	,	,	PUNCT
brj-24472	349	18	achieving	achieve	VERB
brj-24472	349	19	an	an	DET
brj-24472	349	20	83.6	83.6	NUM
brj-24472	349	21	%	%	NOUN
brj-24472	349	22	response	response	NOUN
brj-24472	349	23	rate	rate	NOUN
brj-24472	349	24	(	(	PUNCT
brj-24472	349	25	107/128	107/128	NUM
brj-24472	349	26	)	)	PUNCT
brj-24472	349	27	with	with	ADP
brj-24472	349	28	7	7	NUM
brj-24472	349	29	invalid	invalid	ADJ
brj-24472	349	30	responses	response	NOUN
brj-24472	349	31	excluded	exclude	VERB
brj-24472	349	32	.	.	PUNCT
brj-24472	350	1	the	the	DET
brj-24472	350	2	resulting	result	VERB
brj-24472	350	3	data	datum	NOUN
brj-24472	350	4	showed	show	VERB
brj-24472	350	5	excellent	excellent	ADJ
brj-24472	350	6	internal	internal	ADJ
brj-24472	350	7	consistency	consistency	NOUN
brj-24472	350	8	(	(	PUNCT
brj-24472	350	9	cronbach	cronbach	VERB
brj-24472	350	10	's	's	PART
brj-24472	350	11	α	α	NOUN
brj-24472	350	12	=	=	NOUN
brj-24472	350	13	0.89	0.89	NUM
brj-24472	350	14	)	)	PUNCT
brj-24472	350	15	and	and	CCONJ
brj-24472	350	16	a	a	DET
brj-24472	350	17	mean	mean	NOUN
brj-24472	350	18	kansei	kansei	ADJ
brj-24472	350	19	score	score	NOUN
brj-24472	350	20	of	of	ADP
brj-24472	350	21	5.815	5.815	NUM
brj-24472	350	22	(	(	PUNCT
brj-24472	350	23	sd	sd	NOUN
brj-24472	350	24	=	=	SYM
brj-24472	350	25	0.71	0.71	NUM
brj-24472	350	26	)	)	PUNCT
brj-24472	350	27	,	,	PUNCT
brj-24472	350	28	significantly	significantly	ADV
brj-24472	350	29	exceeding	exceed	VERB
brj-24472	350	30	the	the	DET
brj-24472	350	31	predefined	predefine	VERB
brj-24472	350	32	4.25	4.25	NUM
brj-24472	350	33	threshold	threshold	NOUN
brj-24472	350	34	(	(	PUNCT
brj-24472	350	35	one	one	NUM
brj-24472	350	36	-	-	PUNCT
brj-24472	350	37	sample	sample	NOUN
brj-24472	350	38	t	t	NOUN
brj-24472	350	39	-	-	PUNCT
brj-24472	350	40	test	test	NOUN
brj-24472	350	41	,	,	PUNCT
brj-24472	350	42	p	p	X
brj-24472	350	43	<	<	X
brj-24472	350	44	0.001	0.001	NUM
brj-24472	350	45	,	,	PUNCT
brj-24472	350	46	cohen	cohen	PROPN
brj-24472	350	47	's	's	PART
brj-24472	350	48	d	d	NOUN
brj-24472	350	49	=	=	PROPN
brj-24472	350	50	1.92	1.92	NUM
brj-24472	350	51	)	)	PUNCT
brj-24472	350	52	,	,	PUNCT
brj-24472	350	53	thereby	thereby	ADV
brj-24472	350	54	statistically	statistically	ADV
brj-24472	350	55	validating	validate	VERB
brj-24472	350	56	the	the	DET
brj-24472	350	57	framework	framework	NOUN
brj-24472	350	58	's	's	PART
brj-24472	350	59	effectiveness	effectiveness	NOUN
brj-24472	350	60	for	for	ADP
brj-24472	350	61	guiding	guide	VERB
brj-24472	350	62	emotionally	emotionally	ADV
brj-24472	350	63	resonant	resonant	ADJ
brj-24472	350	64	yet	yet	ADV
brj-24472	350	65	technically	technically	ADV
brj-24472	350	66	feasible	feasible	ADJ
brj-24472	350	67	product	product	NOUN
brj-24472	350	68	development	development	NOUN
brj-24472	350	69	.	.	PUNCT
brj-24472	351	1	product	product	NOUN
brj-24472	351	2	companies	company	NOUN
brj-24472	351	3	can	can	AUX
brj-24472	351	4	use	use	VERB
brj-24472	351	5	this	this	DET
brj-24472	351	6	research	research	NOUN
brj-24472	351	7	method	method	NOUN
brj-24472	351	8	as	as	ADP
brj-24472	351	9	an	an	DET
brj-24472	351	10	important	important	ADJ
brj-24472	351	11	reference	reference	NOUN
brj-24472	351	12	to	to	PART
brj-24472	351	13	guide	guide	VERB
brj-24472	351	14	the	the	DET
brj-24472	351	15	early	early	ADJ
brj-24472	351	16	stage	stage	NOUN
brj-24472	351	17	of	of	ADP
brj-24472	351	18	product	product	NOUN
brj-24472	351	19	design	design	NOUN
brj-24472	351	20	and	and	CCONJ
brj-24472	351	21	development	development	NOUN
brj-24472	351	22	,	,	PUNCT
brj-24472	351	23	thus	thus	ADV
brj-24472	351	24	meeting	meet	VERB
brj-24472	351	25	the	the	DET
brj-24472	351	26	emotional	emotional	ADJ
brj-24472	351	27	needs	need	NOUN
brj-24472	351	28	of	of	ADP
brj-24472	351	29	users	user	NOUN
brj-24472	351	30	and	and	CCONJ
brj-24472	351	31	improving	improve	VERB
brj-24472	351	32	consumers	consumer	NOUN
brj-24472	351	33	’	'	PUNCT
brj-24472	351	34	purchase	purchase	NOUN
brj-24472	351	35	willingness	willingness	NOUN
brj-24472	351	36	.	.	PUNCT
brj-24472	352	1	despite	despite	SCONJ
brj-24472	352	2	the	the	DET
brj-24472	352	3	subjectivity	subjectivity	NOUN
brj-24472	352	4	and	and	CCONJ
brj-24472	352	5	uncertainty	uncertainty	NOUN
brj-24472	352	6	of	of	ADP
brj-24472	352	7	users	user	NOUN
brj-24472	352	8	'	'	PART
brj-24472	352	9	perceptions	perception	NOUN
brj-24472	352	10	,	,	PUNCT
brj-24472	352	11	the	the	DET
brj-24472	352	12	methodology	methodology	NOUN
brj-24472	352	13	peer	peer	NOUN
brj-24472	352	14	-	-	PUNCT
brj-24472	352	15	reviewed	review	VERB
brj-24472	352	16	article	article	NOUN
brj-24472	352	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	352	18	huang	huang	PROPN
brj-24472	352	19	et	et	PROPN
brj-24472	352	20	al	al	PROPN
brj-24472	352	21	.	.	PROPN
brj-24472	353	1	(	(	PUNCT
brj-24472	353	2	2025	2025	NUM
brj-24472	353	3	)	)	PUNCT
brj-24472	353	4	.	.	PUNCT
brj-24472	354	1	“	"	PUNCT
brj-24472	354	2	bamboo	bamboo	NOUN
brj-24472	354	3	furniture	furniture	NOUN
brj-24472	354	4	design	design	NOUN
brj-24472	354	5	,	,	PUNCT
brj-24472	354	6	”	"	PUNCT
brj-24472	354	7	bioresources	bioresource	NOUN
brj-24472	354	8	20(3	20(3	NOUN
brj-24472	354	9	)	)	PUNCT
brj-24472	354	10	,	,	PUNCT
brj-24472	354	11	7107	7107	NUM
brj-24472	354	12	-	-	SYM
brj-24472	354	13	7133	7133	NUM
brj-24472	354	14	.	.	PUNCT
brj-24472	355	1	7127	7127	NUM
brj-24472	355	2	proposed	propose	VERB
brj-24472	355	3	in	in	ADP
brj-24472	355	4	this	this	DET
brj-24472	355	5	study	study	NOUN
brj-24472	355	6	is	be	AUX
brj-24472	355	7	effective	effective	ADJ
brj-24472	355	8	in	in	ADP
brj-24472	355	9	ensuring	ensure	VERB
brj-24472	355	10	that	that	SCONJ
brj-24472	355	11	this	this	DET
brj-24472	355	12	uncertainty	uncertainty	NOUN
brj-24472	355	13	does	do	AUX
brj-24472	355	14	not	not	PART
brj-24472	355	15	affect	affect	VERB
brj-24472	355	16	the	the	DET
brj-24472	355	17	physical	physical	ADJ
brj-24472	355	18	feasibility	feasibility	NOUN
brj-24472	355	19	of	of	ADP
brj-24472	355	20	the	the	DET
brj-24472	355	21	final	final	ADJ
brj-24472	355	22	furniture	furniture	NOUN
brj-24472	355	23	design	design	NOUN
brj-24472	355	24	.	.	PUNCT
brj-24472	356	1	throughout	throughout	ADP
brj-24472	356	2	the	the	DET
brj-24472	356	3	design	design	NOUN
brj-24472	356	4	process	process	NOUN
brj-24472	356	5	,	,	PUNCT
brj-24472	356	6	we	we	PRON
brj-24472	356	7	first	first	ADV
brj-24472	356	8	determined	determine	VERB
brj-24472	356	9	the	the	DET
brj-24472	356	10	basic	basic	ADJ
brj-24472	356	11	structure	structure	NOUN
brj-24472	356	12	of	of	ADP
brj-24472	356	13	the	the	DET
brj-24472	356	14	furniture	furniture	NOUN
brj-24472	356	15	before	before	ADP
brj-24472	356	16	guiding	guide	VERB
brj-24472	356	17	the	the	DET
brj-24472	356	18	user	user	NOUN
brj-24472	356	19	to	to	PART
brj-24472	356	20	generate	generate	VERB
brj-24472	356	21	perceptual	perceptual	ADJ
brj-24472	356	22	awareness	awareness	NOUN
brj-24472	356	23	.	.	PUNCT
brj-24472	357	1	in	in	ADP
brj-24472	357	2	other	other	ADJ
brj-24472	357	3	words	word	NOUN
brj-24472	357	4	,	,	PUNCT
brj-24472	357	5	core	core	ADJ
brj-24472	357	6	structural	structural	ADJ
brj-24472	357	7	factors	factor	NOUN
brj-24472	357	8	such	such	ADJ
brj-24472	357	9	as	as	ADP
brj-24472	357	10	support	support	NOUN
brj-24472	357	11	methods	method	NOUN
brj-24472	357	12	,	,	PUNCT
brj-24472	357	13	connecting	connect	VERB
brj-24472	357	14	nodes	node	NOUN
brj-24472	357	15	and	and	CCONJ
brj-24472	357	16	material	material	NOUN
brj-24472	357	17	bearing	bearing	NOUN
brj-24472	357	18	paths	path	NOUN
brj-24472	357	19	are	be	AUX
brj-24472	357	20	locked	lock	VERB
brj-24472	357	21	in	in	ADP
brj-24472	357	22	as	as	ADP
brj-24472	357	23	a	a	DET
brj-24472	357	24	stable	stable	ADJ
brj-24472	357	25	design	design	NOUN
brj-24472	357	26	foundation	foundation	NOUN
brj-24472	357	27	before	before	ADP
brj-24472	357	28	entering	enter	VERB
brj-24472	357	29	the	the	DET
brj-24472	357	30	perceptual	perceptual	ADJ
brj-24472	357	31	feedback	feedback	NOUN
brj-24472	357	32	process	process	NOUN
brj-24472	357	33	of	of	ADP
brj-24472	357	34	user	user	NOUN
brj-24472	357	35	engagement	engagement	NOUN
brj-24472	357	36	.	.	PUNCT
brj-24472	358	1	in	in	ADP
brj-24472	358	2	addition	addition	NOUN
brj-24472	358	3	,	,	PUNCT
brj-24472	358	4	this	this	DET
brj-24472	358	5	study	study	NOUN
brj-24472	358	6	utilises	utilise	VERB
brj-24472	358	7	rst	rst	VERB
brj-24472	358	8	to	to	PART
brj-24472	358	9	systematically	systematically	ADV
brj-24472	358	10	deal	deal	VERB
brj-24472	358	11	with	with	ADP
brj-24472	358	12	perceptual	perceptual	ADJ
brj-24472	358	13	ambiguities	ambiguity	NOUN
brj-24472	358	14	,	,	PUNCT
brj-24472	358	15	while	while	SCONJ
brj-24472	358	16	ga	ga	NOUN
brj-24472	358	17	-	-	PUNCT
brj-24472	358	18	bpnn	bpnn	NOUN
brj-24472	358	19	and	and	CCONJ
brj-24472	358	20	shap	shap	NOUN
brj-24472	358	21	to	to	PART
brj-24472	358	22	steer	steer	VERB
brj-24472	358	23	the	the	DET
brj-24472	358	24	design	design	NOUN
brj-24472	358	25	search	search	NOUN
brj-24472	358	26	space	space	NOUN
brj-24472	358	27	in	in	ADP
brj-24472	358	28	a	a	DET
brj-24472	358	29	direction	direction	NOUN
brj-24472	358	30	that	that	PRON
brj-24472	358	31	is	be	AUX
brj-24472	358	32	both	both	PRON
brj-24472	358	33	desirable	desirable	ADJ
brj-24472	358	34	and	and	CCONJ
brj-24472	358	35	practically	practically	ADV
brj-24472	358	36	achievable	achievable	ADJ
brj-24472	358	37	.	.	PUNCT
brj-24472	359	1	parametric	parametric	ADJ
brj-24472	359	2	constraints	constraint	NOUN
brj-24472	359	3	are	be	AUX
brj-24472	359	4	used	use	VERB
brj-24472	359	5	throughout	throughout	ADP
brj-24472	359	6	the	the	DET
brj-24472	359	7	model	model	NOUN
brj-24472	359	8	design	design	NOUN
brj-24472	359	9	process	process	NOUN
brj-24472	359	10	to	to	PART
brj-24472	359	11	ensure	ensure	VERB
brj-24472	359	12	manufacturability	manufacturability	NOUN
brj-24472	359	13	and	and	CCONJ
brj-24472	359	14	functional	functional	ADJ
brj-24472	359	15	robustness	robustness	NOUN
brj-24472	359	16	.	.	PUNCT
brj-24472	360	1	this	this	DET
brj-24472	360	2	internal	internal	ADJ
brj-24472	360	3	stability	stability	NOUN
brj-24472	360	4	structure	structure	NOUN
brj-24472	360	5	is	be	AUX
brj-24472	360	6	maintained	maintain	VERB
brj-24472	360	7	during	during	ADP
brj-24472	360	8	the	the	DET
brj-24472	360	9	conceptual	conceptual	ADJ
brj-24472	360	10	design	design	NOUN
brj-24472	360	11	generation	generation	NOUN
brj-24472	360	12	phase	phase	NOUN
brj-24472	360	13	.	.	PUNCT
brj-24472	361	1	the	the	DET
brj-24472	361	2	system	system	NOUN
brj-24472	361	3	introduces	introduce	VERB
brj-24472	361	4	consumer	consumer	NOUN
brj-24472	361	5	preferences	preference	NOUN
brj-24472	361	6	and	and	CCONJ
brj-24472	361	7	perceptual	perceptual	ADJ
brj-24472	361	8	characteristics	characteristic	NOUN
brj-24472	361	9	only	only	ADV
brj-24472	361	10	to	to	ADP
brj-24472	361	11	the	the	DET
brj-24472	361	12	extent	extent	NOUN
brj-24472	361	13	that	that	SCONJ
brj-24472	361	14	this	this	DET
brj-24472	361	15	structure	structure	NOUN
brj-24472	361	16	allows	allow	VERB
brj-24472	361	17	for	for	ADP
brj-24472	361	18	personalised	personalised	ADJ
brj-24472	361	19	expression	expression	NOUN
brj-24472	361	20	.	.	PUNCT
brj-24472	362	1	the	the	DET
brj-24472	362	2	final	final	ADJ
brj-24472	362	3	output	output	NOUN
brj-24472	362	4	is	be	AUX
brj-24472	362	5	not	not	PART
brj-24472	362	6	just	just	ADV
brj-24472	362	7	an	an	DET
brj-24472	362	8	aesthetic	aesthetic	ADJ
brj-24472	362	9	presentation	presentation	NOUN
brj-24472	362	10	,	,	PUNCT
brj-24472	362	11	but	but	CCONJ
brj-24472	362	12	an	an	DET
brj-24472	362	13	optimised	optimise	VERB
brj-24472	362	14	result	result	NOUN
brj-24472	362	15	of	of	ADP
brj-24472	362	16	user	user	NOUN
brj-24472	362	17	perception	perception	NOUN
brj-24472	362	18	,	,	PUNCT
brj-24472	362	19	designer	designer	NOUN
brj-24472	362	20	's	's	PART
brj-24472	362	21	professional	professional	ADJ
brj-24472	362	22	judgement	judgement	NOUN
brj-24472	362	23	and	and	CCONJ
brj-24472	362	24	structural	structural	ADJ
brj-24472	362	25	feasibility	feasibility	NOUN
brj-24472	362	26	.	.	PUNCT
brj-24472	363	1	through	through	ADP
brj-24472	363	2	this	this	DET
brj-24472	363	3	systematic	systematic	ADJ
brj-24472	363	4	modelling	modelling	NOUN
brj-24472	363	5	and	and	CCONJ
brj-24472	363	6	constraint	constraint	NOUN
brj-24472	363	7	mechanism	mechanism	NOUN
brj-24472	363	8	,	,	PUNCT
brj-24472	363	9	this	this	DET
brj-24472	363	10	study	study	NOUN
brj-24472	363	11	ensures	ensure	VERB
brj-24472	363	12	that	that	SCONJ
brj-24472	363	13	the	the	DET
brj-24472	363	14	generated	generate	VERB
brj-24472	363	15	furniture	furniture	NOUN
brj-24472	363	16	design	design	NOUN
brj-24472	363	17	solutions	solution	NOUN
brj-24472	363	18	are	be	AUX
brj-24472	363	19	still	still	ADV
brj-24472	363	20	structurally	structurally	ADV
brj-24472	363	21	sound	sound	ADJ
brj-24472	363	22	and	and	CCONJ
brj-24472	363	23	feasible	feasible	ADJ
brj-24472	363	24	in	in	ADP
brj-24472	363	25	actual	actual	ADJ
brj-24472	363	26	manufacturing	manufacturing	NOUN
brj-24472	363	27	and	and	CCONJ
brj-24472	363	28	usage	usage	NOUN
brj-24472	363	29	scenarios	scenario	NOUN
brj-24472	363	30	,	,	PUNCT
brj-24472	363	31	while	while	SCONJ
brj-24472	363	32	achieving	achieve	VERB
brj-24472	363	33	personalisation	personalisation	NOUN
brj-24472	363	34	and	and	CCONJ
brj-24472	363	35	innovation	innovation	NOUN
brj-24472	363	36	.	.	PUNCT
brj-24472	364	1	results	result	NOUN
brj-24472	364	2	and	and	CCONJ
brj-24472	364	3	discussion	discussion	NOUN
brj-24472	364	4	ke	ke	NOUN
brj-24472	364	5	is	be	AUX
brj-24472	364	6	taken	take	VERB
brj-24472	364	7	as	as	ADP
brj-24472	364	8	the	the	DET
brj-24472	364	9	research	research	NOUN
brj-24472	364	10	framework	framework	NOUN
brj-24472	364	11	,	,	PUNCT
brj-24472	364	12	rst	rst	PROPN
brj-24472	364	13	is	be	AUX
brj-24472	364	14	combined	combine	VERB
brj-24472	364	15	with	with	ADP
brj-24472	364	16	ga	ga	NOUN
brj-24472	364	17	-	-	NOUN
brj-24472	364	18	bpnn	bpnn	NOUN
brj-24472	364	19	in	in	ADP
brj-24472	364	20	this	this	DET
brj-24472	364	21	study	study	NOUN
brj-24472	364	22	to	to	PART
brj-24472	364	23	develop	develop	VERB
brj-24472	364	24	the	the	DET
brj-24472	364	25	shape	shape	NOUN
brj-24472	364	26	design	design	NOUN
brj-24472	364	27	method	method	NOUN
brj-24472	364	28	of	of	ADP
brj-24472	364	29	bamboo	bamboo	NOUN
brj-24472	364	30	furniture	furniture	NOUN
brj-24472	364	31	;	;	PUNCT
brj-24472	364	32	the	the	DET
brj-24472	364	33	bamboo	bamboo	NOUN
brj-24472	364	34	chair	chair	NOUN
brj-24472	364	35	is	be	AUX
brj-24472	364	36	taken	take	VERB
brj-24472	364	37	as	as	ADP
brj-24472	364	38	the	the	DET
brj-24472	364	39	research	research	NOUN
brj-24472	364	40	object	object	NOUN
brj-24472	364	41	to	to	PART
brj-24472	364	42	verify	verify	VERB
brj-24472	364	43	the	the	DET
brj-24472	364	44	feasibility	feasibility	NOUN
brj-24472	364	45	of	of	ADP
brj-24472	364	46	the	the	DET
brj-24472	364	47	method	method	NOUN
brj-24472	364	48	.	.	PUNCT
brj-24472	365	1	the	the	DET
brj-24472	365	2	proposed	propose	VERB
brj-24472	365	3	method	method	NOUN
brj-24472	365	4	is	be	AUX
brj-24472	365	5	universal	universal	ADJ
brj-24472	365	6	and	and	CCONJ
brj-24472	365	7	targeted	target	VERB
brj-24472	365	8	.	.	PUNCT
brj-24472	366	1	specific	specific	ADJ
brj-24472	366	2	emotional	emotional	ADJ
brj-24472	366	3	needs	need	NOUN
brj-24472	366	4	can	can	AUX
brj-24472	366	5	be	be	AUX
brj-24472	366	6	collected	collect	VERB
brj-24472	366	7	for	for	ADP
brj-24472	366	8	different	different	ADJ
brj-24472	366	9	target	target	NOUN
brj-24472	366	10	user	user	NOUN
brj-24472	366	11	groups	group	NOUN
brj-24472	366	12	;	;	PUNCT
brj-24472	366	13	the	the	DET
brj-24472	366	14	corresponding	correspond	VERB
brj-24472	366	15	product	product	NOUN
brj-24472	366	16	features	feature	NOUN
brj-24472	366	17	can	can	AUX
brj-24472	366	18	be	be	AUX
brj-24472	366	19	deconstructed	deconstruct	VERB
brj-24472	366	20	for	for	ADP
brj-24472	366	21	different	different	ADJ
brj-24472	366	22	design	design	NOUN
brj-24472	366	23	objects	object	NOUN
brj-24472	366	24	.	.	PUNCT
brj-24472	367	1	the	the	DET
brj-24472	367	2	rst	rst	PROPN
brj-24472	367	3	attribute	attribute	NOUN
brj-24472	367	4	reduction	reduction	NOUN
brj-24472	367	5	algorithm	algorithm	NOUN
brj-24472	367	6	can	can	AUX
brj-24472	367	7	help	help	VERB
brj-24472	367	8	designers	designer	NOUN
brj-24472	367	9	extract	extract	VERB
brj-24472	367	10	the	the	DET
brj-24472	367	11	emotional	emotional	ADJ
brj-24472	367	12	needs	need	NOUN
brj-24472	367	13	with	with	ADP
brj-24472	367	14	the	the	DET
brj-24472	367	15	highest	high	ADJ
brj-24472	367	16	user	user	NOUN
brj-24472	367	17	satisfaction	satisfaction	NOUN
brj-24472	367	18	from	from	ADP
brj-24472	367	19	many	many	ADJ
brj-24472	367	20	needs	need	NOUN
brj-24472	367	21	;	;	PUNCT
brj-24472	367	22	and	and	CCONJ
brj-24472	367	23	the	the	DET
brj-24472	367	24	direction	direction	NOUN
brj-24472	367	25	of	of	ADP
brj-24472	367	26	product	product	NOUN
brj-24472	367	27	design	design	NOUN
brj-24472	367	28	is	be	AUX
brj-24472	367	29	clarified	clarify	VERB
brj-24472	367	30	.	.	PUNCT
brj-24472	368	1	the	the	DET
brj-24472	368	2	morphological	morphological	ADJ
brj-24472	368	3	deconstruction	deconstruction	NOUN
brj-24472	368	4	method	method	NOUN
brj-24472	368	5	is	be	AUX
brj-24472	368	6	used	use	VERB
brj-24472	368	7	to	to	PART
brj-24472	368	8	deconstruct	deconstruct	VERB
brj-24472	368	9	product	product	NOUN
brj-24472	368	10	design	design	NOUN
brj-24472	368	11	components	component	NOUN
brj-24472	368	12	.	.	PUNCT
brj-24472	369	1	ga	ga	PROPN
brj-24472	369	2	-	-	PUNCT
brj-24472	369	3	bpnn	bpnn	PROPN
brj-24472	369	4	is	be	AUX
brj-24472	369	5	used	use	VERB
brj-24472	369	6	to	to	PART
brj-24472	369	7	establish	establish	VERB
brj-24472	369	8	a	a	DET
brj-24472	369	9	mapping	mapping	NOUN
brj-24472	369	10	model	model	NOUN
brj-24472	369	11	between	between	ADP
brj-24472	369	12	key	key	ADJ
brj-24472	369	13	emotional	emotional	ADJ
brj-24472	369	14	needs	need	NOUN
brj-24472	369	15	and	and	CCONJ
brj-24472	369	16	components	component	NOUN
brj-24472	369	17	,	,	PUNCT
brj-24472	369	18	which	which	PRON
brj-24472	369	19	can	can	AUX
brj-24472	369	20	predict	predict	VERB
brj-24472	369	21	product	product	NOUN
brj-24472	369	22	design	design	NOUN
brj-24472	369	23	parameters	parameter	NOUN
brj-24472	369	24	in	in	ADP
brj-24472	369	25	line	line	NOUN
brj-24472	369	26	with	with	ADP
brj-24472	369	27	users	user	NOUN
brj-24472	369	28	’	’	PART
brj-24472	369	29	emotional	emotional	ADJ
brj-24472	369	30	preferences	preference	NOUN
brj-24472	369	31	.	.	PUNCT
brj-24472	370	1	thus	thus	ADV
brj-24472	370	2	,	,	PUNCT
brj-24472	370	3	the	the	DET
brj-24472	370	4	emotional	emotional	ADJ
brj-24472	370	5	semantics	semantic	NOUN
brj-24472	370	6	of	of	ADP
brj-24472	370	7	products	product	NOUN
brj-24472	370	8	can	can	AUX
brj-24472	370	9	be	be	AUX
brj-24472	370	10	improved	improve	VERB
brj-24472	370	11	.	.	PUNCT
brj-24472	371	1	comparison	comparison	NOUN
brj-24472	371	2	of	of	ADP
brj-24472	371	3	extracting	extract	VERB
brj-24472	371	4	kansei	kansei	ADJ
brj-24472	371	5	needs	need	NOUN
brj-24472	371	6	between	between	ADP
brj-24472	371	7	rough	rough	ADJ
brj-24472	371	8	set	set	NOUN
brj-24472	371	9	theory	theory	NOUN
brj-24472	371	10	and	and	CCONJ
brj-24472	371	11	traditional	traditional	ADJ
brj-24472	371	12	methods	method	NOUN
brj-24472	371	13	in	in	ADP
brj-24472	371	14	the	the	DET
brj-24472	371	15	contemporary	contemporary	ADJ
brj-24472	371	16	product	product	NOUN
brj-24472	371	17	environment	environment	NOUN
brj-24472	371	18	,	,	PUNCT
brj-24472	371	19	identifying	identify	VERB
brj-24472	371	20	the	the	DET
brj-24472	371	21	emotional	emotional	ADJ
brj-24472	371	22	needs	need	NOUN
brj-24472	371	23	of	of	ADP
brj-24472	371	24	users	user	NOUN
brj-24472	371	25	has	have	AUX
brj-24472	371	26	become	become	VERB
brj-24472	371	27	increasingly	increasingly	ADV
brj-24472	371	28	important	important	ADJ
brj-24472	371	29	.	.	PUNCT
brj-24472	372	1	with	with	ADP
brj-24472	372	2	the	the	DET
brj-24472	372	3	intensification	intensification	NOUN
brj-24472	372	4	of	of	ADP
brj-24472	372	5	market	market	NOUN
brj-24472	372	6	competition	competition	NOUN
brj-24472	372	7	and	and	CCONJ
brj-24472	372	8	the	the	DET
brj-24472	372	9	improvement	improvement	NOUN
brj-24472	372	10	of	of	ADP
brj-24472	372	11	consumer	consumer	NOUN
brj-24472	372	12	expectations	expectation	NOUN
brj-24472	372	13	,	,	PUNCT
brj-24472	372	14	simply	simply	ADV
brj-24472	372	15	focusing	focus	VERB
brj-24472	372	16	on	on	ADP
brj-24472	372	17	the	the	DET
brj-24472	372	18	functionality	functionality	NOUN
brj-24472	372	19	of	of	ADP
brj-24472	372	20	products	product	NOUN
brj-24472	372	21	can	can	AUX
brj-24472	372	22	no	no	ADV
brj-24472	372	23	longer	long	ADV
brj-24472	372	24	meet	meet	VERB
brj-24472	372	25	the	the	DET
brj-24472	372	26	increasingly	increasingly	ADV
brj-24472	372	27	diversified	diversify	VERB
brj-24472	372	28	needs	need	NOUN
brj-24472	372	29	of	of	ADP
brj-24472	372	30	users	user	NOUN
brj-24472	372	31	.	.	PUNCT
brj-24472	373	1	emotional	emotional	ADJ
brj-24472	373	2	needs	need	NOUN
brj-24472	373	3	not	not	PART
brj-24472	373	4	only	only	ADV
brj-24472	373	5	affect	affect	VERB
brj-24472	373	6	users	user	NOUN
brj-24472	373	7	’	'	PUNCT
brj-24472	373	8	satisfaction	satisfaction	NOUN
brj-24472	373	9	with	with	ADP
brj-24472	373	10	products	product	NOUN
brj-24472	373	11	,	,	PUNCT
brj-24472	373	12	but	but	CCONJ
brj-24472	373	13	also	also	ADV
brj-24472	373	14	directly	directly	ADV
brj-24472	373	15	relate	relate	VERB
brj-24472	373	16	to	to	ADP
brj-24472	373	17	brand	brand	NOUN
brj-24472	373	18	loyalty	loyalty	NOUN
brj-24472	373	19	and	and	CCONJ
brj-24472	373	20	market	market	NOUN
brj-24472	373	21	competitiveness	competitiveness	NOUN
brj-24472	373	22	.	.	PUNCT
brj-24472	374	1	therefore	therefore	ADV
brj-24472	374	2	,	,	PUNCT
brj-24472	374	3	in	in	ADP
brj-24472	374	4	-	-	PUNCT
brj-24472	374	5	depth	depth	NOUN
brj-24472	374	6	understanding	understanding	NOUN
brj-24472	374	7	and	and	CCONJ
brj-24472	374	8	accurate	accurate	ADJ
brj-24472	374	9	extraction	extraction	NOUN
brj-24472	374	10	of	of	ADP
brj-24472	374	11	users	user	NOUN
brj-24472	374	12	’	'	PUNCT
brj-24472	374	13	emotional	emotional	ADJ
brj-24472	374	14	needs	need	NOUN
brj-24472	374	15	is	be	AUX
brj-24472	374	16	an	an	DET
brj-24472	374	17	indispensable	indispensable	ADJ
brj-24472	374	18	part	part	NOUN
brj-24472	374	19	of	of	ADP
brj-24472	374	20	the	the	DET
brj-24472	374	21	product	product	NOUN
brj-24472	374	22	design	design	NOUN
brj-24472	374	23	and	and	CCONJ
brj-24472	374	24	development	development	NOUN
brj-24472	374	25	process	process	NOUN
brj-24472	374	26	.	.	PUNCT
brj-24472	375	1	many	many	ADJ
brj-24472	375	2	scholars	scholar	NOUN
brj-24472	375	3	have	have	AUX
brj-24472	375	4	proposed	propose	VERB
brj-24472	375	5	different	different	ADJ
brj-24472	375	6	methods	method	NOUN
brj-24472	375	7	to	to	PART
brj-24472	375	8	extract	extract	VERB
brj-24472	375	9	users	user	NOUN
brj-24472	375	10	’	'	PUNCT
brj-24472	375	11	emotional	emotional	ADJ
brj-24472	375	12	needs	need	NOUN
brj-24472	375	13	.	.	PUNCT
brj-24472	376	1	for	for	ADP
brj-24472	376	2	example	example	NOUN
brj-24472	376	3	,	,	PUNCT
brj-24472	376	4	analytic	analytic	ADJ
brj-24472	376	5	hierarchy	hierarchy	NOUN
brj-24472	376	6	process	process	NOUN
brj-24472	376	7	(	(	PUNCT
brj-24472	376	8	ahp	ahp	NOUN
brj-24472	376	9	)	)	PUNCT
brj-24472	376	10	(	(	PUNCT
brj-24472	376	11	zuo	zuo	PROPN
brj-24472	376	12	and	and	CCONJ
brj-24472	376	13	wang	wang	PROPN
brj-24472	376	14	2020	2020	NUM
brj-24472	376	15	)	)	PUNCT
brj-24472	376	16	is	be	AUX
brj-24472	376	17	widely	widely	ADV
brj-24472	376	18	used	use	VERB
brj-24472	376	19	to	to	PART
brj-24472	376	20	build	build	VERB
brj-24472	376	21	decision	decision	NOUN
brj-24472	376	22	models	model	NOUN
brj-24472	376	23	and	and	CCONJ
brj-24472	376	24	assign	assign	VERB
brj-24472	376	25	weights	weight	NOUN
brj-24472	376	26	to	to	ADP
brj-24472	376	27	various	various	ADJ
brj-24472	376	28	emotional	emotional	ADJ
brj-24472	376	29	factors	factor	NOUN
brj-24472	376	30	through	through	ADP
brj-24472	376	31	expert	expert	NOUN
brj-24472	376	32	evaluation	evaluation	NOUN
brj-24472	376	33	.	.	PUNCT
brj-24472	377	1	however	however	ADV
brj-24472	377	2	,	,	PUNCT
brj-24472	377	3	this	this	DET
brj-24472	377	4	approach	approach	NOUN
brj-24472	377	5	is	be	AUX
brj-24472	377	6	often	often	ADV
brj-24472	377	7	influenced	influence	VERB
brj-24472	377	8	by	by	ADP
brj-24472	377	9	subjective	subjective	ADJ
brj-24472	377	10	judgment	judgment	NOUN
brj-24472	377	11	,	,	PUNCT
brj-24472	377	12	which	which	PRON
brj-24472	377	13	can	can	AUX
brj-24472	377	14	lead	lead	VERB
brj-24472	377	15	to	to	ADP
brj-24472	377	16	inconsistent	inconsistent	ADJ
brj-24472	377	17	results	result	NOUN
brj-24472	377	18	.	.	PUNCT
brj-24472	378	1	in	in	ADP
brj-24472	378	2	addition	addition	NOUN
brj-24472	378	3	,	,	PUNCT
brj-24472	378	4	factor	factor	NOUN
brj-24472	378	5	analysis	analysis	NOUN
brj-24472	378	6	is	be	AUX
brj-24472	378	7	also	also	ADV
brj-24472	378	8	used	use	VERB
brj-24472	378	9	to	to	PART
brj-24472	378	10	identify	identify	VERB
brj-24472	378	11	potential	potential	ADJ
brj-24472	378	12	emotional	emotional	ADJ
brj-24472	378	13	peer	peer	NOUN
brj-24472	378	14	-	-	PUNCT
brj-24472	378	15	reviewed	review	VERB
brj-24472	378	16	article	article	NOUN
brj-24472	378	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	378	18	huang	huang	PROPN
brj-24472	378	19	et	et	PROPN
brj-24472	378	20	al	al	PROPN
brj-24472	378	21	.	.	PROPN
brj-24472	379	1	(	(	PUNCT
brj-24472	379	2	2025	2025	NUM
brj-24472	379	3	)	)	PUNCT
brj-24472	379	4	.	.	PUNCT
brj-24472	380	1	“	"	PUNCT
brj-24472	380	2	bamboo	bamboo	NOUN
brj-24472	380	3	furniture	furniture	NOUN
brj-24472	380	4	design	design	NOUN
brj-24472	380	5	,	,	PUNCT
brj-24472	380	6	”	"	PUNCT
brj-24472	380	7	bioresources	bioresource	NOUN
brj-24472	380	8	20(3	20(3	NOUN
brj-24472	380	9	)	)	PUNCT
brj-24472	380	10	,	,	PUNCT
brj-24472	380	11	7107	7107	NUM
brj-24472	380	12	-	-	SYM
brj-24472	380	13	7133	7133	NUM
brj-24472	380	14	.	.	PUNCT
brj-24472	381	1	7128	7128	NUM
brj-24472	381	2	factors	factor	NOUN
brj-24472	381	3	and	and	CCONJ
brj-24472	381	4	simplify	simplify	VERB
brj-24472	381	5	complex	complex	ADJ
brj-24472	381	6	information	information	NOUN
brj-24472	381	7	through	through	ADP
brj-24472	381	8	data	datum	NOUN
brj-24472	381	9	dimensionality	dimensionality	NOUN
brj-24472	381	10	reduction	reduction	NOUN
brj-24472	381	11	,	,	PUNCT
brj-24472	381	12	but	but	CCONJ
brj-24472	381	13	its	its	PRON
brj-24472	381	14	effectiveness	effectiveness	NOUN
brj-24472	381	15	depends	depend	VERB
brj-24472	381	16	on	on	ADP
brj-24472	381	17	sample	sample	NOUN
brj-24472	381	18	size	size	NOUN
brj-24472	381	19	and	and	CCONJ
brj-24472	381	20	data	datum	NOUN
brj-24472	381	21	quality	quality	NOUN
brj-24472	381	22	.	.	PUNCT
brj-24472	382	1	grey	grey	ADJ
brj-24472	382	2	correlation	correlation	NOUN
brj-24472	382	3	analysis	analysis	NOUN
brj-24472	382	4	(	(	PUNCT
brj-24472	382	5	gra	gra	NOUN
brj-24472	382	6	)	)	PUNCT
brj-24472	382	7	evaluates	evaluate	VERB
brj-24472	382	8	the	the	DET
brj-24472	382	9	importance	importance	NOUN
brj-24472	382	10	by	by	ADP
brj-24472	382	11	calculating	calculate	VERB
brj-24472	382	12	the	the	DET
brj-24472	382	13	correlation	correlation	NOUN
brj-24472	382	14	degree	degree	NOUN
brj-24472	382	15	between	between	ADP
brj-24472	382	16	emotional	emotional	ADJ
brj-24472	382	17	factors	factor	NOUN
brj-24472	382	18	and	and	CCONJ
brj-24472	382	19	ideal	ideal	ADJ
brj-24472	382	20	solution	solution	NOUN
brj-24472	382	21	;	;	PUNCT
brj-24472	382	22	but	but	CCONJ
brj-24472	382	23	it	it	PRON
brj-24472	382	24	also	also	ADV
brj-24472	382	25	faces	face	VERB
brj-24472	382	26	the	the	DET
brj-24472	382	27	problem	problem	NOUN
brj-24472	382	28	of	of	ADP
brj-24472	382	29	subjectively	subjectively	ADV
brj-24472	382	30	selecting	select	VERB
brj-24472	382	31	reference	reference	NOUN
brj-24472	382	32	sequences	sequence	NOUN
brj-24472	382	33	and	and	CCONJ
brj-24472	382	34	it	it	PRON
brj-24472	382	35	is	be	AUX
brj-24472	382	36	difficult	difficult	ADJ
brj-24472	382	37	to	to	PART
brj-24472	382	38	deal	deal	VERB
brj-24472	382	39	with	with	ADP
brj-24472	382	40	fuzzy	fuzzy	ADJ
brj-24472	382	41	and	and	CCONJ
brj-24472	382	42	uncertain	uncertain	ADJ
brj-24472	382	43	information	information	NOUN
brj-24472	382	44	(	(	PUNCT
brj-24472	382	45	zhou	zhou	X
brj-24472	382	46	et	et	PROPN
brj-24472	382	47	al	al	PROPN
brj-24472	382	48	.	.	PROPN
brj-24472	382	49	2023b	2023b	NUM
brj-24472	382	50	)	)	PUNCT
brj-24472	382	51	.	.	PUNCT
brj-24472	383	1	in	in	ADP
brj-24472	383	2	contrast	contrast	NOUN
brj-24472	383	3	,	,	PUNCT
brj-24472	383	4	rst	rst	PROPN
brj-24472	383	5	has	have	VERB
brj-24472	383	6	obvious	obvious	ADJ
brj-24472	383	7	advantages	advantage	NOUN
brj-24472	383	8	in	in	ADP
brj-24472	383	9	extracting	extract	VERB
brj-24472	383	10	emotional	emotional	ADJ
brj-24472	383	11	needs	need	NOUN
brj-24472	383	12	.	.	PUNCT
brj-24472	384	1	rst	rst	PROPN
brj-24472	384	2	can	can	AUX
brj-24472	384	3	effectively	effectively	ADV
brj-24472	384	4	deal	deal	VERB
brj-24472	384	5	with	with	ADP
brj-24472	384	6	the	the	DET
brj-24472	384	7	uncertainty	uncertainty	NOUN
brj-24472	384	8	and	and	CCONJ
brj-24472	384	9	ambiguity	ambiguity	NOUN
brj-24472	384	10	in	in	ADP
brj-24472	384	11	the	the	DET
brj-24472	384	12	data	datum	NOUN
brj-24472	384	13	;	;	PUNCT
brj-24472	384	14	and	and	CCONJ
brj-24472	384	15	it	it	PRON
brj-24472	384	16	can	can	AUX
brj-24472	384	17	analyze	analyze	VERB
brj-24472	384	18	the	the	DET
brj-24472	384	19	relationship	relationship	NOUN
brj-24472	384	20	between	between	ADP
brj-24472	384	21	different	different	ADJ
brj-24472	384	22	attributes	attribute	NOUN
brj-24472	384	23	through	through	ADP
brj-24472	384	24	the	the	DET
brj-24472	384	25	decision	decision	NOUN
brj-24472	384	26	table	table	NOUN
brj-24472	384	27	to	to	PART
brj-24472	384	28	reveal	reveal	VERB
brj-24472	384	29	the	the	DET
brj-24472	384	30	potential	potential	ADJ
brj-24472	384	31	correlation	correlation	NOUN
brj-24472	384	32	.	.	PUNCT
brj-24472	385	1	in	in	ADP
brj-24472	385	2	addition	addition	NOUN
brj-24472	385	3	,	,	PUNCT
brj-24472	385	4	it	it	PRON
brj-24472	385	5	does	do	AUX
brj-24472	385	6	not	not	PART
brj-24472	385	7	rely	rely	VERB
brj-24472	385	8	on	on	ADP
brj-24472	385	9	prior	prior	ADJ
brj-24472	385	10	knowledge	knowledge	NOUN
brj-24472	385	11	,	,	PUNCT
brj-24472	385	12	thus	thus	ADV
brj-24472	385	13	reducing	reduce	VERB
brj-24472	385	14	the	the	DET
brj-24472	385	15	impact	impact	NOUN
brj-24472	385	16	of	of	ADP
brj-24472	385	17	subjective	subjective	ADJ
brj-24472	385	18	biases	bias	NOUN
brj-24472	385	19	on	on	ADP
brj-24472	385	20	the	the	DET
brj-24472	385	21	results	result	NOUN
brj-24472	385	22	.	.	PUNCT
brj-24472	386	1	it	it	PRON
brj-24472	386	2	can	can	AUX
brj-24472	386	3	also	also	ADV
brj-24472	386	4	screen	screen	VERB
brj-24472	386	5	out	out	ADP
brj-24472	386	6	the	the	DET
brj-24472	386	7	most	most	ADV
brj-24472	386	8	influential	influential	ADJ
brj-24472	386	9	emotional	emotional	ADJ
brj-24472	386	10	needs	need	NOUN
brj-24472	386	11	,	,	PUNCT
brj-24472	386	12	which	which	PRON
brj-24472	386	13	simplifies	simplify	VERB
brj-24472	386	14	the	the	DET
brj-24472	386	15	analysis	analysis	NOUN
brj-24472	386	16	process	process	NOUN
brj-24472	386	17	.	.	PUNCT
brj-24472	387	1	therefore	therefore	ADV
brj-24472	387	2	,	,	PUNCT
brj-24472	387	3	in	in	ADP
brj-24472	387	4	face	face	NOUN
brj-24472	387	5	of	of	ADP
brj-24472	387	6	complex	complex	ADJ
brj-24472	387	7	and	and	CCONJ
brj-24472	387	8	changeable	changeable	ADJ
brj-24472	387	9	users	user	NOUN
brj-24472	387	10	’	'	PUNCT
brj-24472	387	11	needs	need	NOUN
brj-24472	387	12	,	,	PUNCT
brj-24472	387	13	rst	rst	PROPN
brj-24472	387	14	provides	provide	VERB
brj-24472	387	15	a	a	DET
brj-24472	387	16	more	more	ADV
brj-24472	387	17	comprehensive	comprehensive	ADJ
brj-24472	387	18	,	,	PUNCT
brj-24472	387	19	objective	objective	ADJ
brj-24472	387	20	and	and	CCONJ
brj-24472	387	21	flexible	flexible	ADJ
brj-24472	387	22	method	method	NOUN
brj-24472	387	23	for	for	ADP
brj-24472	387	24	demand	demand	NOUN
brj-24472	387	25	extraction	extraction	NOUN
brj-24472	387	26	in	in	ADP
brj-24472	387	27	ke	ke	PROPN
brj-24472	387	28	.	.	PUNCT
brj-24472	388	1	comparison	comparison	NOUN
brj-24472	388	2	between	between	ADP
brj-24472	388	3	ga	ga	PROPN
brj-24472	388	4	-	-	PUNCT
brj-24472	388	5	bpnn	bpnn	NOUN
brj-24472	388	6	and	and	CCONJ
brj-24472	388	7	traditional	traditional	ADJ
brj-24472	388	8	kansei	kansei	ADJ
brj-24472	388	9	mapping	mapping	NOUN
brj-24472	388	10	model	model	NOUN
brj-24472	388	11	after	after	ADP
brj-24472	388	12	determining	determine	VERB
brj-24472	388	13	the	the	DET
brj-24472	388	14	core	core	ADJ
brj-24472	388	15	components	component	NOUN
brj-24472	388	16	of	of	ADP
brj-24472	388	17	product	product	NOUN
brj-24472	388	18	design	design	NOUN
brj-24472	388	19	,	,	PUNCT
brj-24472	388	20	how	how	SCONJ
brj-24472	388	21	to	to	PART
brj-24472	388	22	effectively	effectively	ADV
brj-24472	388	23	connect	connect	VERB
brj-24472	388	24	these	these	DET
brj-24472	388	25	elements	element	NOUN
brj-24472	388	26	with	with	ADP
brj-24472	388	27	users	user	NOUN
brj-24472	388	28	’	'	PUNCT
brj-24472	388	29	kansei	kansei	VERB
brj-24472	388	30	needs	need	NOUN
brj-24472	388	31	is	be	AUX
brj-24472	388	32	one	one	NUM
brj-24472	388	33	of	of	ADP
brj-24472	388	34	the	the	DET
brj-24472	388	35	core	core	NOUN
brj-24472	388	36	tasks	task	NOUN
brj-24472	388	37	of	of	ADP
brj-24472	388	38	ke	ke	PROPN
brj-24472	388	39	.	.	PUNCT
brj-24472	389	1	traditional	traditional	ADJ
brj-24472	389	2	kansei	kansei	ADJ
brj-24472	389	3	models	model	NOUN
brj-24472	389	4	such	such	ADJ
brj-24472	389	5	as	as	ADP
brj-24472	389	6	quality	quality	NOUN
brj-24472	389	7	function	function	NOUN
brj-24472	389	8	deployment	deployment	NOUN
brj-24472	389	9	(	(	PUNCT
brj-24472	389	10	qfd	qfd	NOUN
brj-24472	389	11	)	)	PUNCT
brj-24472	389	12	(	(	PUNCT
brj-24472	389	13	dolgun	dolgun	NOUN
brj-24472	389	14	and	and	CCONJ
brj-24472	389	15	köksal	köksal	NOUN
brj-24472	389	16	2018	2018	NUM
brj-24472	389	17	)	)	PUNCT
brj-24472	389	18	,	,	PUNCT
brj-24472	389	19	qt-1	qt-1	NOUN
brj-24472	389	20	model	model	NOUN
brj-24472	389	21	and	and	CCONJ
brj-24472	389	22	fuzzy	fuzzy	ADJ
brj-24472	389	23	qfd	qfd	NOUN
brj-24472	389	24	,	,	PUNCT
brj-24472	389	25	provide	provide	VERB
brj-24472	389	26	a	a	DET
brj-24472	389	27	structured	structured	ADJ
brj-24472	389	28	approach	approach	NOUN
brj-24472	389	29	to	to	ADP
brj-24472	389	30	product	product	NOUN
brj-24472	389	31	design	design	NOUN
brj-24472	389	32	to	to	ADP
brj-24472	389	33	a	a	DET
brj-24472	389	34	certain	certain	ADJ
brj-24472	389	35	extent	extent	NOUN
brj-24472	389	36	,	,	PUNCT
brj-24472	389	37	but	but	CCONJ
brj-24472	389	38	they	they	PRON
brj-24472	389	39	also	also	ADV
brj-24472	389	40	have	have	VERB
brj-24472	389	41	some	some	DET
brj-24472	389	42	obvious	obvious	ADJ
brj-24472	389	43	shortcomings	shortcoming	NOUN
brj-24472	389	44	.	.	PUNCT
brj-24472	390	1	firstly	firstly	ADV
brj-24472	390	2	,	,	PUNCT
brj-24472	390	3	qfd	qfd	NOUN
brj-24472	390	4	is	be	AUX
brj-24472	390	5	taken	take	VERB
brj-24472	390	6	as	as	ADP
brj-24472	390	7	an	an	DET
brj-24472	390	8	example	example	NOUN
brj-24472	390	9	.	.	PUNCT
brj-24472	391	1	it	it	PRON
brj-24472	391	2	guides	guide	VERB
brj-24472	391	3	product	product	NOUN
brj-24472	391	4	development	development	NOUN
brj-24472	391	5	by	by	ADP
brj-24472	391	6	translating	translate	VERB
brj-24472	391	7	customer	customer	NOUN
brj-24472	391	8	needs	need	VERB
brj-24472	391	9	into	into	ADP
brj-24472	391	10	technical	technical	ADJ
brj-24472	391	11	requirements	requirement	NOUN
brj-24472	391	12	.	.	PUNCT
brj-24472	392	1	however	however	ADV
brj-24472	392	2	,	,	PUNCT
brj-24472	392	3	qfd	qfd	NOUN
brj-24472	392	4	is	be	AUX
brj-24472	392	5	often	often	ADV
brj-24472	392	6	unable	unable	ADJ
brj-24472	392	7	to	to	PART
brj-24472	392	8	deal	deal	VERB
brj-24472	392	9	with	with	ADP
brj-24472	392	10	complex	complex	ADJ
brj-24472	392	11	,	,	PUNCT
brj-24472	392	12	multi	multi	ADJ
brj-24472	392	13	-	-	ADJ
brj-24472	392	14	dimensional	dimensional	ADJ
brj-24472	392	15	emotional	emotional	ADJ
brj-24472	392	16	needs	need	NOUN
brj-24472	392	17	because	because	SCONJ
brj-24472	392	18	it	it	PRON
brj-24472	392	19	relies	rely	VERB
brj-24472	392	20	on	on	ADP
brj-24472	392	21	expert	expert	NOUN
brj-24472	392	22	experience	experience	NOUN
brj-24472	392	23	and	and	CCONJ
brj-24472	392	24	subjective	subjective	ADJ
brj-24472	392	25	judgment	judgment	NOUN
brj-24472	392	26	,	,	PUNCT
brj-24472	392	27	which	which	PRON
brj-24472	392	28	can	can	AUX
brj-24472	392	29	easily	easily	ADV
brj-24472	392	30	lead	lead	VERB
brj-24472	392	31	to	to	ADP
brj-24472	392	32	information	information	NOUN
brj-24472	392	33	loss	loss	NOUN
brj-24472	392	34	or	or	CCONJ
brj-24472	392	35	misunderstanding	misunderstanding	NOUN
brj-24472	392	36	.	.	PUNCT
brj-24472	393	1	although	although	SCONJ
brj-24472	393	2	qt-1	qt-1	NOUN
brj-24472	393	3	model	model	NOUN
brj-24472	393	4	introduces	introduce	VERB
brj-24472	393	5	quantitative	quantitative	ADJ
brj-24472	393	6	analysis	analysis	NOUN
brj-24472	393	7	,	,	PUNCT
brj-24472	393	8	it	it	PRON
brj-24472	393	9	lacks	lack	VERB
brj-24472	393	10	flexibility	flexibility	NOUN
brj-24472	393	11	in	in	ADP
brj-24472	393	12	face	face	NOUN
brj-24472	393	13	of	of	ADP
brj-24472	393	14	dynamic	dynamic	ADJ
brj-24472	393	15	market	market	NOUN
brj-24472	393	16	demand	demand	NOUN
brj-24472	393	17	changes	change	NOUN
brj-24472	393	18	.	.	PUNCT
brj-24472	394	1	although	although	SCONJ
brj-24472	394	2	fuzzy	fuzzy	ADJ
brj-24472	394	3	qfd	qfd	NOUN
brj-24472	394	4	tries	try	VERB
brj-24472	394	5	to	to	PART
brj-24472	394	6	deal	deal	VERB
brj-24472	394	7	with	with	ADP
brj-24472	394	8	uncertainty	uncertainty	NOUN
brj-24472	394	9	through	through	ADP
brj-24472	394	10	fuzzy	fuzzy	ADJ
brj-24472	394	11	logic	logic	NOUN
brj-24472	394	12	,	,	PUNCT
brj-24472	394	13	its	its	PRON
brj-24472	394	14	calculation	calculation	NOUN
brj-24472	394	15	process	process	NOUN
brj-24472	394	16	is	be	AUX
brj-24472	394	17	complicated	complicated	ADJ
brj-24472	394	18	and	and	CCONJ
brj-24472	394	19	it	it	PRON
brj-24472	394	20	is	be	AUX
brj-24472	394	21	difficult	difficult	ADJ
brj-24472	394	22	to	to	PART
brj-24472	394	23	realize	realize	VERB
brj-24472	394	24	efficient	efficient	ADJ
brj-24472	394	25	data	datum	NOUN
brj-24472	394	26	processing	processing	NOUN
brj-24472	394	27	.	.	PUNCT
brj-24472	395	1	with	with	ADP
brj-24472	395	2	the	the	DET
brj-24472	395	3	development	development	NOUN
brj-24472	395	4	of	of	ADP
brj-24472	395	5	artificial	artificial	ADJ
brj-24472	395	6	intelligence	intelligence	NOUN
brj-24472	395	7	technology	technology	NOUN
brj-24472	395	8	,	,	PUNCT
brj-24472	395	9	many	many	ADJ
brj-24472	395	10	emerging	emerge	VERB
brj-24472	395	11	methods	method	NOUN
brj-24472	395	12	such	such	ADJ
brj-24472	395	13	as	as	ADP
brj-24472	395	14	bpnn	bpnn	NOUN
brj-24472	395	15	(	(	PUNCT
brj-24472	395	16	wang	wang	PROPN
brj-24472	395	17	et	et	PROPN
brj-24472	395	18	al	al	PROPN
brj-24472	395	19	.	.	PROPN
brj-24472	395	20	2024	2024	NUM
brj-24472	395	21	)	)	PUNCT
brj-24472	395	22	and	and	CCONJ
brj-24472	395	23	support	support	VERB
brj-24472	395	24	vector	vector	NOUN
brj-24472	395	25	regression	regression	NOUN
brj-24472	395	26	(	(	PUNCT
brj-24472	395	27	svr	svr	PROPN
brj-24472	395	28	)	)	PUNCT
brj-24472	395	29	(	(	PUNCT
brj-24472	395	30	lian	lian	NOUN
brj-24472	395	31	et	et	PROPN
brj-24472	395	32	al	al	PROPN
brj-24472	395	33	.	.	PROPN
brj-24472	395	34	2022	2022	NUM
brj-24472	395	35	;	;	PUNCT
brj-24472	395	36	ren	ren	PROPN
brj-24472	395	37	et	et	PROPN
brj-24472	395	38	al	al	PROPN
brj-24472	395	39	.	.	PROPN
brj-24472	395	40	2025	2025	NUM
brj-24472	395	41	)	)	PUNCT
brj-24472	395	42	have	have	AUX
brj-24472	395	43	been	be	AUX
brj-24472	395	44	gradually	gradually	ADV
brj-24472	395	45	introduced	introduce	VERB
brj-24472	395	46	into	into	ADP
brj-24472	395	47	the	the	DET
brj-24472	395	48	construction	construction	NOUN
brj-24472	395	49	of	of	ADP
brj-24472	395	50	kansei	kansei	ADJ
brj-24472	395	51	mapping	mapping	NOUN
brj-24472	395	52	model	model	NOUN
brj-24472	395	53	.	.	PUNCT
brj-24472	396	1	as	as	ADP
brj-24472	396	2	a	a	DET
brj-24472	396	3	typical	typical	ADJ
brj-24472	396	4	machine	machine	NOUN
brj-24472	396	5	learning	learning	NOUN
brj-24472	396	6	,	,	PUNCT
brj-24472	396	7	bpnn	bpnn	PROPN
brj-24472	396	8	can	can	AUX
brj-24472	396	9	establish	establish	VERB
brj-24472	396	10	a	a	DET
brj-24472	396	11	nonlinear	nonlinear	ADJ
brj-24472	396	12	relationship	relationship	NOUN
brj-24472	396	13	between	between	ADP
brj-24472	396	14	input	input	NOUN
brj-24472	396	15	and	and	CCONJ
brj-24472	396	16	output	output	NOUN
brj-24472	396	17	through	through	ADP
brj-24472	396	18	learning	learn	VERB
brj-24472	396	19	historical	historical	ADJ
brj-24472	396	20	data	datum	NOUN
brj-24472	396	21	.	.	PUNCT
brj-24472	397	1	however	however	ADV
brj-24472	397	2	,	,	PUNCT
brj-24472	397	3	bpnn	bpnn	PROPN
brj-24472	397	4	is	be	AUX
brj-24472	397	5	easy	easy	ADJ
brj-24472	397	6	to	to	PART
brj-24472	397	7	fall	fall	VERB
brj-24472	397	8	into	into	ADP
brj-24472	397	9	the	the	DET
brj-24472	397	10	local	local	ADJ
brj-24472	397	11	optimal	optimal	ADJ
brj-24472	397	12	solution	solution	NOUN
brj-24472	397	13	during	during	ADP
brj-24472	397	14	training	training	NOUN
brj-24472	397	15	and	and	CCONJ
brj-24472	397	16	it	it	PRON
brj-24472	397	17	is	be	AUX
brj-24472	397	18	very	very	ADV
brj-24472	397	19	sensitive	sensitive	ADJ
brj-24472	397	20	to	to	ADP
brj-24472	397	21	the	the	DET
brj-24472	397	22	selection	selection	NOUN
brj-24472	397	23	of	of	ADP
brj-24472	397	24	hyper	hyper	ADJ
brj-24472	397	25	parameters	parameter	NOUN
brj-24472	397	26	,	,	PUNCT
brj-24472	397	27	which	which	PRON
brj-24472	397	28	may	may	AUX
brj-24472	397	29	lead	lead	VERB
brj-24472	397	30	to	to	ADP
brj-24472	397	31	the	the	DET
brj-24472	397	32	instability	instability	NOUN
brj-24472	397	33	of	of	ADP
brj-24472	397	34	model	model	NOUN
brj-24472	397	35	performance	performance	NOUN
brj-24472	397	36	.	.	PUNCT
brj-24472	398	1	svr	svr	PROPN
brj-24472	398	2	performs	perform	VERB
brj-24472	398	3	regression	regression	VERB
brj-24472	398	4	analysis	analysis	NOUN
brj-24472	398	5	by	by	ADP
brj-24472	398	6	finding	find	VERB
brj-24472	398	7	the	the	DET
brj-24472	398	8	best	good	ADJ
brj-24472	398	9	hyper	hyper	ADJ
brj-24472	398	10	plane	plane	NOUN
brj-24472	398	11	;	;	PUNCT
brj-24472	398	12	and	and	CCONJ
brj-24472	398	13	it	it	PRON
brj-24472	398	14	performs	perform	VERB
brj-24472	398	15	well	well	ADV
brj-24472	398	16	in	in	ADP
brj-24472	398	17	processing	process	VERB
brj-24472	398	18	small	small	ADJ
brj-24472	398	19	samples	sample	NOUN
brj-24472	398	20	and	and	CCONJ
brj-24472	398	21	high	high	ADJ
brj-24472	398	22	-	-	PUNCT
brj-24472	398	23	dimensional	dimensional	ADJ
brj-24472	398	24	data	datum	NOUN
brj-24472	398	25	,	,	PUNCT
brj-24472	398	26	but	but	CCONJ
brj-24472	398	27	it	it	PRON
brj-24472	398	28	has	have	VERB
brj-24472	398	29	high	high	ADJ
brj-24472	398	30	requirements	requirement	NOUN
brj-24472	398	31	for	for	ADP
brj-24472	398	32	kernel	kernel	NOUN
brj-24472	398	33	function	function	NOUN
brj-24472	398	34	selection	selection	NOUN
brj-24472	398	35	and	and	CCONJ
brj-24472	398	36	parameter	parameter	NOUN
brj-24472	398	37	adjustment	adjustment	NOUN
brj-24472	398	38	;	;	PUNCT
brj-24472	398	39	and	and	CCONJ
brj-24472	398	40	it	it	PRON
brj-24472	398	41	has	have	VERB
brj-24472	398	42	low	low	ADJ
brj-24472	398	43	computational	computational	ADJ
brj-24472	398	44	efficiency	efficiency	NOUN
brj-24472	398	45	on	on	ADP
brj-24472	398	46	large	large	ADJ
brj-24472	398	47	-	-	PUNCT
brj-24472	398	48	scale	scale	NOUN
brj-24472	398	49	data	datum	NOUN
brj-24472	398	50	sets	set	NOUN
brj-24472	398	51	.	.	PUNCT
brj-24472	399	1	compared	compare	VERB
brj-24472	399	2	with	with	ADP
brj-24472	399	3	the	the	DET
brj-24472	399	4	above	above	ADJ
brj-24472	399	5	methods	method	NOUN
brj-24472	399	6	,	,	PUNCT
brj-24472	399	7	the	the	DET
brj-24472	399	8	ga	ga	PROPN
brj-24472	399	9	-	-	PUNCT
brj-24472	399	10	bpnn	bpnn	NOUN
brj-24472	399	11	shows	show	VERB
brj-24472	399	12	more	more	ADV
brj-24472	399	13	significant	significant	ADJ
brj-24472	399	14	advantages	advantage	NOUN
brj-24472	399	15	.	.	PUNCT
brj-24472	400	1	ga	ga	PROPN
brj-24472	400	2	is	be	AUX
brj-24472	400	3	an	an	DET
brj-24472	400	4	optimization	optimization	NOUN
brj-24472	400	5	algorithm	algorithm	NOUN
brj-24472	400	6	based	base	VERB
brj-24472	400	7	on	on	ADP
brj-24472	400	8	natural	natural	ADJ
brj-24472	400	9	selection	selection	NOUN
brj-24472	400	10	and	and	CCONJ
brj-24472	400	11	genetics	genetic	NOUN
brj-24472	400	12	.	.	PUNCT
brj-24472	401	1	it	it	PRON
brj-24472	401	2	stimulates	stimulate	VERB
brj-24472	401	3	the	the	DET
brj-24472	401	4	mechanisms	mechanism	NOUN
brj-24472	401	5	of	of	ADP
brj-24472	401	6	selection	selection	NOUN
brj-24472	401	7	,	,	PUNCT
brj-24472	401	8	crossover	crossover	NOUN
brj-24472	401	9	and	and	CCONJ
brj-24472	401	10	mutation	mutation	NOUN
brj-24472	401	11	in	in	ADP
brj-24472	401	12	the	the	DET
brj-24472	401	13	process	process	NOUN
brj-24472	401	14	of	of	ADP
brj-24472	401	15	biological	biological	ADJ
brj-24472	401	16	evolution	evolution	NOUN
brj-24472	401	17	;	;	PUNCT
brj-24472	401	18	and	and	CCONJ
brj-24472	401	19	it	it	PRON
brj-24472	401	20	gradually	gradually	ADV
brj-24472	401	21	evolves	evolve	VERB
brj-24472	401	22	better	well	ADJ
brj-24472	401	23	solutions	solution	NOUN
brj-24472	401	24	by	by	ADP
brj-24472	401	25	evaluating	evaluate	VERB
brj-24472	401	26	the	the	DET
brj-24472	401	27	fitness	fitness	NOUN
brj-24472	401	28	of	of	ADP
brj-24472	401	29	individual	individual	ADJ
brj-24472	401	30	solutions	solution	NOUN
brj-24472	401	31	.	.	PUNCT
brj-24472	402	1	the	the	DET
brj-24472	402	2	combination	combination	NOUN
brj-24472	402	3	of	of	ADP
brj-24472	402	4	genetic	genetic	ADJ
brj-24472	402	5	algorithm	algorithm	NOUN
brj-24472	402	6	and	and	CCONJ
brj-24472	402	7	bp	bp	PROPN
brj-24472	402	8	neural	neural	ADJ
brj-24472	402	9	network	network	NOUN
brj-24472	402	10	to	to	PART
brj-24472	402	11	form	form	VERB
brj-24472	402	12	ga	ga	PROPN
brj-24472	402	13	-	-	PUNCT
brj-24472	402	14	bpnn	bpnn	NOUN
brj-24472	402	15	can	can	AUX
brj-24472	402	16	give	give	VERB
brj-24472	402	17	full	full	ADJ
brj-24472	402	18	to	to	ADP
brj-24472	402	19	the	the	DET
brj-24472	402	20	advantages	advantage	NOUN
brj-24472	402	21	of	of	ADP
brj-24472	402	22	both	both	DET
brj-24472	402	23	sides	side	NOUN
brj-24472	402	24	.	.	PUNCT
brj-24472	403	1	specifically	specifically	ADV
brj-24472	403	2	,	,	PUNCT
brj-24472	403	3	ga	ga	PROPN
brj-24472	403	4	-	-	PUNCT
brj-24472	403	5	bpnn	bpnn	NOUN
brj-24472	403	6	firstly	firstly	ADV
brj-24472	403	7	uses	use	VERB
brj-24472	403	8	genetic	genetic	ADJ
brj-24472	403	9	algorithm	algorithm	NOUN
brj-24472	403	10	to	to	PART
brj-24472	403	11	optimize	optimize	VERB
brj-24472	403	12	the	the	DET
brj-24472	403	13	structure	structure	NOUN
brj-24472	403	14	and	and	CCONJ
brj-24472	403	15	weight	weight	NOUN
brj-24472	403	16	of	of	ADP
brj-24472	403	17	bp	bp	PROPN
brj-24472	403	18	neural	neural	ADJ
brj-24472	403	19	network	network	NOUN
brj-24472	403	20	.	.	PUNCT
brj-24472	404	1	in	in	ADP
brj-24472	404	2	this	this	DET
brj-24472	404	3	process	process	NOUN
brj-24472	404	4	,	,	PUNCT
brj-24472	404	5	the	the	DET
brj-24472	404	6	selection	selection	NOUN
brj-24472	404	7	,	,	PUNCT
brj-24472	404	8	crossover	crossover	NOUN
brj-24472	404	9	and	and	CCONJ
brj-24472	404	10	mutation	mutation	NOUN
brj-24472	404	11	of	of	ADP
brj-24472	404	12	ga	ga	PROPN
brj-24472	404	13	are	be	AUX
brj-24472	404	14	carried	carry	VERB
brj-24472	404	15	out	out	ADP
brj-24472	404	16	by	by	ADP
brj-24472	404	17	evaluating	evaluate	VERB
brj-24472	404	18	the	the	DET
brj-24472	404	19	fitness	fitness	NOUN
brj-24472	404	20	of	of	ADP
brj-24472	404	21	multiple	multiple	ADJ
brj-24472	404	22	individuals	individual	NOUN
brj-24472	404	23	(	(	PUNCT
brj-24472	404	24	namely	namely	ADV
brj-24472	404	25	different	different	ADJ
brj-24472	404	26	network	network	NOUN
brj-24472	404	27	configuration	configuration	NOUN
brj-24472	404	28	)	)	PUNCT
brj-24472	404	29	to	to	PART
brj-24472	404	30	find	find	VERB
brj-24472	404	31	the	the	DET
brj-24472	404	32	best	good	ADJ
brj-24472	404	33	combination	combination	NOUN
brj-24472	404	34	of	of	ADP
brj-24472	404	35	network	network	NOUN
brj-24472	404	36	parameters	parameter	NOUN
brj-24472	404	37	.	.	PUNCT
brj-24472	405	1	this	this	DET
brj-24472	405	2	method	method	NOUN
brj-24472	405	3	not	not	PART
brj-24472	405	4	only	only	ADV
brj-24472	405	5	improves	improve	VERB
brj-24472	405	6	the	the	DET
brj-24472	405	7	convergence	convergence	NOUN
brj-24472	405	8	speed	speed	NOUN
brj-24472	405	9	of	of	ADP
brj-24472	405	10	bpnn	bpnn	NOUN
brj-24472	405	11	in	in	ADP
brj-24472	405	12	the	the	DET
brj-24472	405	13	training	training	NOUN
brj-24472	405	14	process	process	NOUN
brj-24472	405	15	,	,	PUNCT
brj-24472	405	16	but	but	CCONJ
brj-24472	405	17	also	also	ADV
brj-24472	405	18	enhances	enhance	VERB
brj-24472	405	19	the	the	DET
brj-24472	405	20	prediction	prediction	NOUN
brj-24472	405	21	ability	ability	NOUN
brj-24472	405	22	of	of	ADP
brj-24472	405	23	the	the	DET
brj-24472	405	24	model	model	NOUN
brj-24472	405	25	.	.	PUNCT
brj-24472	406	1	when	when	SCONJ
brj-24472	406	2	constructing	construct	VERB
brj-24472	406	3	kansei	kansei	ADJ
brj-24472	406	4	mapping	mapping	NOUN
brj-24472	406	5	models	model	NOUN
brj-24472	406	6	,	,	PUNCT
brj-24472	406	7	peer	peer	NOUN
brj-24472	406	8	-	-	PUNCT
brj-24472	406	9	reviewed	review	VERB
brj-24472	406	10	article	article	NOUN
brj-24472	406	11	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	AUX
brj-24472	406	12	huang	huang	PROPN
brj-24472	406	13	et	et	PROPN
brj-24472	406	14	al	al	PROPN
brj-24472	406	15	.	.	PROPN
brj-24472	407	1	(	(	PUNCT
brj-24472	407	2	2025	2025	NUM
brj-24472	407	3	)	)	PUNCT
brj-24472	407	4	.	.	PUNCT
brj-24472	408	1	“	"	PUNCT
brj-24472	408	2	bamboo	bamboo	NOUN
brj-24472	408	3	furniture	furniture	NOUN
brj-24472	408	4	design	design	NOUN
brj-24472	408	5	,	,	PUNCT
brj-24472	408	6	”	"	PUNCT
brj-24472	408	7	bioresources	bioresource	NOUN
brj-24472	408	8	20(3	20(3	NOUN
brj-24472	408	9	)	)	PUNCT
brj-24472	408	10	,	,	PUNCT
brj-24472	408	11	7107	7107	NUM
brj-24472	408	12	-	-	SYM
brj-24472	408	13	7133	7133	NUM
brj-24472	408	14	.	.	PUNCT
brj-24472	409	1	7129	7129	NUM
brj-24472	409	2	ga	ga	NOUN
brj-24472	409	3	-	-	PUNCT
brj-24472	409	4	bpnn	bpnn	NOUN
brj-24472	409	5	can	can	AUX
brj-24472	409	6	more	more	ADV
brj-24472	409	7	effectively	effectively	ADV
brj-24472	409	8	capture	capture	VERB
brj-24472	409	9	the	the	DET
brj-24472	409	10	complex	complex	ADJ
brj-24472	409	11	relationship	relationship	NOUN
brj-24472	409	12	between	between	ADP
brj-24472	409	13	design	design	NOUN
brj-24472	409	14	elements	element	NOUN
brj-24472	409	15	and	and	CCONJ
brj-24472	409	16	kansei	kansei	ADJ
brj-24472	409	17	requirements	requirement	NOUN
brj-24472	409	18	;	;	PUNCT
brj-24472	409	19	and	and	CCONJ
brj-24472	409	20	it	it	PRON
brj-24472	409	21	can	can	AUX
brj-24472	409	22	provide	provide	VERB
brj-24472	409	23	more	more	ADV
brj-24472	409	24	accurate	accurate	ADJ
brj-24472	409	25	and	and	CCONJ
brj-24472	409	26	reliable	reliable	ADJ
brj-24472	409	27	prediction	prediction	NOUN
brj-24472	409	28	results	result	NOUN
brj-24472	409	29	.	.	PUNCT
brj-24472	410	1	in	in	ADP
brj-24472	410	2	this	this	DET
brj-24472	410	3	study	study	NOUN
brj-24472	410	4	,	,	PUNCT
brj-24472	410	5	the	the	DET
brj-24472	410	6	results	result	NOUN
brj-24472	410	7	of	of	ADP
brj-24472	410	8	the	the	DET
brj-24472	410	9	perceptual	perceptual	ADJ
brj-24472	410	10	evaluation	evaluation	NOUN
brj-24472	410	11	data	datum	NOUN
brj-24472	410	12	were	be	AUX
brj-24472	410	13	brought	bring	VERB
brj-24472	410	14	into	into	ADP
brj-24472	410	15	the	the	DET
brj-24472	410	16	bpnn	bpnn	NOUN
brj-24472	410	17	and	and	CCONJ
brj-24472	410	18	svr	svr	VERB
brj-24472	410	19	isofunctional	isofunctional	ADJ
brj-24472	410	20	models	model	NOUN
brj-24472	410	21	for	for	ADP
brj-24472	410	22	quantitative	quantitative	ADJ
brj-24472	410	23	comparison	comparison	NOUN
brj-24472	410	24	with	with	ADP
brj-24472	410	25	ga	ga	PROPN
brj-24472	410	26	-	-	PUNCT
brj-24472	410	27	bpnn	bpnn	NOUN
brj-24472	410	28	.	.	PUNCT
brj-24472	411	1	table	table	NOUN
brj-24472	411	2	8	8	NUM
brj-24472	411	3	shows	show	VERB
brj-24472	411	4	the	the	DET
brj-24472	411	5	comparative	comparative	ADJ
brj-24472	411	6	performance	performance	NOUN
brj-24472	411	7	of	of	ADP
brj-24472	411	8	svr	svr	PROPN
brj-24472	411	9	,	,	PUNCT
brj-24472	411	10	bpnn	bpnn	NOUN
brj-24472	411	11	,	,	PUNCT
brj-24472	411	12	and	and	CCONJ
brj-24472	411	13	ga	ga	PROPN
brj-24472	411	14	-	-	PUNCT
brj-24472	411	15	bpnn	bpnn	NOUN
brj-24472	411	16	models	model	NOUN
brj-24472	411	17	in	in	ADP
brj-24472	411	18	predicting	predict	VERB
brj-24472	411	19	four	four	NUM
brj-24472	411	20	key	key	ADJ
brj-24472	411	21	kansei	kansei	ADJ
brj-24472	411	22	attributes	attribute	NOUN
brj-24472	411	23	(	(	PUNCT
brj-24472	411	24	flexible	flexible	ADJ
brj-24472	411	25	,	,	PUNCT
brj-24472	411	26	soft	soft	ADJ
brj-24472	411	27	,	,	PUNCT
brj-24472	411	28	tough	tough	ADJ
brj-24472	411	29	,	,	PUNCT
brj-24472	411	30	elegant	elegant	ADJ
brj-24472	411	31	)	)	PUNCT
brj-24472	411	32	across	across	ADP
brj-24472	411	33	training	training	NOUN
brj-24472	411	34	and	and	CCONJ
brj-24472	411	35	test	test	NOUN
brj-24472	411	36	sets	set	NOUN
brj-24472	411	37	.	.	PUNCT
brj-24472	412	1	the	the	DET
brj-24472	412	2	ga	ga	PROPN
brj-24472	412	3	-	-	PUNCT
brj-24472	412	4	bpnn	bpnn	NOUN
brj-24472	412	5	hybrid	hybrid	ADJ
brj-24472	412	6	model	model	NOUN
brj-24472	412	7	demonstrates	demonstrate	VERB
brj-24472	412	8	remarkable	remarkable	ADJ
brj-24472	412	9	optimization	optimization	NOUN
brj-24472	412	10	capability	capability	NOUN
brj-24472	412	11	in	in	ADP
brj-24472	412	12	training	training	NOUN
brj-24472	412	13	scenarios	scenario	NOUN
brj-24472	412	14	,	,	PUNCT
brj-24472	412	15	achieving	achieve	VERB
brj-24472	412	16	the	the	DET
brj-24472	412	17	highest	high	ADJ
brj-24472	412	18	average	average	ADJ
brj-24472	412	19	r²	r²	NOUN
brj-24472	412	20	(	(	PUNCT
brj-24472	412	21	0.944	0.944	NUM
brj-24472	412	22	)	)	PUNCT
brj-24472	412	23	and	and	CCONJ
brj-24472	412	24	lowest	low	ADJ
brj-24472	412	25	rmse	rmse	NOUN
brj-24472	412	26	(	(	PUNCT
brj-24472	412	27	0.154	0.154	NUM
brj-24472	412	28	)	)	PUNCT
brj-24472	412	29	among	among	ADP
brj-24472	412	30	all	all	DET
brj-24472	412	31	models	model	NOUN
brj-24472	412	32	,	,	PUNCT
brj-24472	412	33	indicating	indicate	VERB
brj-24472	412	34	exceptional	exceptional	ADJ
brj-24472	412	35	learning	learning	NOUN
brj-24472	412	36	capacity	capacity	NOUN
brj-24472	412	37	and	and	CCONJ
brj-24472	412	38	parameter	parameter	NOUN
brj-24472	412	39	optimization	optimization	NOUN
brj-24472	412	40	.	.	PUNCT
brj-24472	413	1	in	in	ADP
brj-24472	413	2	comparison	comparison	NOUN
brj-24472	413	3	,	,	PUNCT
brj-24472	413	4	the	the	DET
brj-24472	413	5	r²	r²	NOUN
brj-24472	413	6	of	of	ADP
brj-24472	413	7	ga	ga	PROPN
brj-24472	413	8	-	-	PUNCT
brj-24472	413	9	bpnn	bpnn	PROPN
brj-24472	413	10	is	be	AUX
brj-24472	413	11	significantly	significantly	ADV
brj-24472	413	12	higher	high	ADJ
brj-24472	413	13	than	than	ADP
brj-24472	413	14	that	that	PRON
brj-24472	413	15	of	of	ADP
brj-24472	413	16	svr	svr	PROPN
brj-24472	413	17	(	(	PUNCT
brj-24472	413	18	training	training	NOUN
brj-24472	413	19	set	set	NOUN
brj-24472	413	20	+14.98	+14.98	ADP
brj-24472	413	21	%	%	NOUN
brj-24472	413	22	,	,	PUNCT
brj-24472	413	23	test	test	NOUN
brj-24472	413	24	set	set	VERB
brj-24472	413	25	+16.73	+16.73	ADP
brj-24472	413	26	%	%	NOUN
brj-24472	413	27	)	)	PUNCT
brj-24472	413	28	and	and	CCONJ
brj-24472	413	29	bpnn	bpnn	NOUN
brj-24472	413	30	(	(	PUNCT
brj-24472	413	31	training	training	NOUN
brj-24472	413	32	set	set	NOUN
brj-24472	414	1	+8.26	+8.26	PROPN
brj-24472	414	2	%	%	NOUN
brj-24472	414	3	,	,	PUNCT
brj-24472	414	4	test	test	NOUN
brj-24472	414	5	set	set	VERB
brj-24472	414	6	+12.29	+12.29	PROPN
brj-24472	414	7	%	%	NOUN
brj-24472	414	8	)	)	PUNCT
brj-24472	414	9	,	,	PUNCT
brj-24472	414	10	indicating	indicate	VERB
brj-24472	414	11	stronger	strong	ADJ
brj-24472	414	12	model	model	NOUN
brj-24472	414	13	explanatory	explanatory	ADJ
brj-24472	414	14	power	power	NOUN
brj-24472	414	15	.	.	PUNCT
brj-24472	415	1	the	the	DET
brj-24472	415	2	rmse	rmse	NOUN
brj-24472	415	3	(	(	PUNCT
brj-24472	415	4	root	root	NOUN
brj-24472	415	5	mean	mean	VERB
brj-24472	415	6	square	square	NOUN
brj-24472	415	7	error	error	NOUN
brj-24472	415	8	)	)	PUNCT
brj-24472	415	9	of	of	ADP
brj-24472	415	10	ga	ga	PROPN
brj-24472	415	11	-	-	PUNCT
brj-24472	415	12	bpnn	bpnn	PROPN
brj-24472	415	13	is	be	AUX
brj-24472	415	14	approximately	approximately	ADV
brj-24472	415	15	50%~55	50%~55	NUM
brj-24472	415	16	%	%	NOUN
brj-24472	415	17	lower	low	ADJ
brj-24472	415	18	than	than	ADP
brj-24472	415	19	that	that	PRON
brj-24472	415	20	of	of	ADP
brj-24472	415	21	svr	svr	PROPN
brj-24472	415	22	and	and	CCONJ
brj-24472	415	23	42%~45	42%~45	NUM
brj-24472	415	24	%	%	NOUN
brj-24472	415	25	lower	low	ADJ
brj-24472	415	26	than	than	ADP
brj-24472	415	27	that	that	PRON
brj-24472	415	28	of	of	ADP
brj-24472	415	29	bpnn	bpnn	NOUN
brj-24472	415	30	,	,	PUNCT
brj-24472	415	31	indicating	indicate	VERB
brj-24472	415	32	a	a	DET
brj-24472	415	33	significant	significant	ADJ
brj-24472	415	34	reduction	reduction	NOUN
brj-24472	415	35	in	in	ADP
brj-24472	415	36	prediction	prediction	NOUN
brj-24472	415	37	errors	error	NOUN
brj-24472	415	38	.	.	PUNCT
brj-24472	416	1	in	in	ADP
brj-24472	416	2	summary	summary	NOUN
brj-24472	416	3	,	,	PUNCT
brj-24472	416	4	when	when	SCONJ
brj-24472	416	5	constructing	construct	VERB
brj-24472	416	6	kansei	kansei	ADJ
brj-24472	416	7	mapping	mapping	NOUN
brj-24472	416	8	model	model	NOUN
brj-24472	416	9	,	,	PUNCT
brj-24472	416	10	ga	ga	PROPN
brj-24472	416	11	-	-	PUNCT
brj-24472	416	12	bpnn	bpnn	NOUN
brj-24472	416	13	not	not	PART
brj-24472	416	14	only	only	ADV
brj-24472	416	15	overcomes	overcome	VERB
brj-24472	416	16	some	some	DET
brj-24472	416	17	inherent	inherent	ADJ
brj-24472	416	18	defects	defect	NOUN
brj-24472	416	19	of	of	ADP
brj-24472	416	20	bpnn	bpnn	NOUN
brj-24472	416	21	but	but	CCONJ
brj-24472	416	22	also	also	ADV
brj-24472	416	23	improves	improve	VERB
brj-24472	416	24	the	the	DET
brj-24472	416	25	performance	performance	NOUN
brj-24472	416	26	of	of	ADP
brj-24472	416	27	the	the	DET
brj-24472	416	28	model	model	NOUN
brj-24472	416	29	in	in	ADP
brj-24472	416	30	practical	practical	ADJ
brj-24472	416	31	applications	application	NOUN
brj-24472	416	32	compared	compare	VERB
brj-24472	416	33	with	with	ADP
brj-24472	416	34	traditional	traditional	ADJ
brj-24472	416	35	methods	method	NOUN
brj-24472	416	36	and	and	CCONJ
brj-24472	416	37	other	other	ADJ
brj-24472	416	38	modern	modern	ADJ
brj-24472	416	39	machine	machine	NOUN
brj-24472	416	40	learning	learning	NOUN
brj-24472	416	41	technologies	technology	NOUN
brj-24472	416	42	.	.	PUNCT
brj-24472	417	1	it	it	PRON
brj-24472	417	2	also	also	ADV
brj-24472	417	3	provides	provide	VERB
brj-24472	417	4	a	a	DET
brj-24472	417	5	more	more	ADV
brj-24472	417	6	effective	effective	ADJ
brj-24472	417	7	solution	solution	NOUN
brj-24472	417	8	for	for	ADP
brj-24472	417	9	the	the	DET
brj-24472	417	10	field	field	NOUN
brj-24472	417	11	of	of	ADP
brj-24472	417	12	ke	ke	PROPN
brj-24472	417	13	.	.	PUNCT
brj-24472	417	14	table	table	NOUN
brj-24472	417	15	8	8	NUM
brj-24472	417	16	.	.	PUNCT
brj-24472	417	17	comparison	comparison	NOUN
brj-24472	417	18	of	of	ADP
brj-24472	417	19	mapping	mapping	NOUN
brj-24472	417	20	model	model	NOUN
brj-24472	417	21	parameter	parameter	NOUN
brj-24472	417	22	results	result	NOUN
brj-24472	417	23	of	of	ADP
brj-24472	417	24	bpnn	bpnn	NOUN
brj-24472	417	25	and	and	CCONJ
brj-24472	417	26	svr	svr	VERB
brj-24472	417	27	with	with	ADP
brj-24472	417	28	ga	ga	PROPN
brj-24472	417	29	-	-	PUNCT
brj-24472	417	30	bpnn	bpnn	NOUN
brj-24472	417	31	kansei	kansei	PROPN
brj-24472	417	32	needs	needs	AUX
brj-24472	417	33	test	test	NOUN
brj-24472	417	34	set	set	VERB
brj-24472	417	35	fitting	fitting	ADJ
brj-24472	417	36	data	datum	NOUN
brj-24472	417	37	training	training	NOUN
brj-24472	417	38	set	set	VERB
brj-24472	417	39	fitting	fitting	ADJ
brj-24472	417	40	data	datum	NOUN
brj-24472	417	41	r2	r2	PROPN
brj-24472	417	42	(	(	PUNCT
brj-24472	417	43	avg	avg	NOUN
brj-24472	417	44	)	)	PUNCT
brj-24472	417	45	rmse	rmse	PROPN
brj-24472	417	46	(	(	PUNCT
brj-24472	417	47	avg	avg	NOUN
brj-24472	417	48	)	)	PUNCT
brj-24472	417	49	r2	r2	PROPN
brj-24472	417	50	(	(	PUNCT
brj-24472	417	51	avg	avg	NOUN
brj-24472	417	52	)	)	PUNCT
brj-24472	417	53	rmse	rmse	PROPN
brj-24472	417	54	(	(	PUNCT
brj-24472	417	55	avg	avg	NOUN
brj-24472	417	56	)	)	PUNCT
brj-24472	417	57	svr	svr	VERB
brj-24472	417	58	0.783	0.783	NUM
brj-24472	417	59	0.312	0.312	NUM
brj-24472	417	60	0.821	0.821	NUM
brj-24472	417	61	0.285	0.285	NUM
brj-24472	417	62	bpnn	bpnn	NOUN
brj-24472	417	63	0.814	0.814	NUM
brj-24472	417	64	0.267	0.267	NUM
brj-24472	417	65	0.872	0.872	NUM
brj-24472	417	66	0.231	0.231	NUM
brj-24472	417	67	ga	ga	NOUN
brj-24472	417	68	-	-	PUNCT
brj-24472	417	69	bpnn	bpnn	NOUN
brj-24472	417	70	0.914	0.914	NUM
brj-24472	417	71	0.154	0.154	NUM
brj-24472	417	72	0.944	0.944	NUM
brj-24472	417	73	0.126	0.126	NUM
brj-24472	417	74	conclusions	conclusion	NOUN
brj-24472	417	75	1	1	NUM
brj-24472	417	76	.	.	PUNCT
brj-24472	418	1	in	in	ADP
brj-24472	418	2	this	this	DET
brj-24472	418	3	study	study	NOUN
brj-24472	418	4	,	,	PUNCT
brj-24472	418	5	genetic	genetic	ADJ
brj-24472	418	6	algorithm	algorithm	NOUN
brj-24472	418	7	-	-	PUNCT
brj-24472	418	8	backpropagation	backpropagation	NOUN
brj-24472	418	9	neural	neural	ADJ
brj-24472	418	10	networks	network	NOUN
brj-24472	418	11	(	(	PUNCT
brj-24472	418	12	ga	ga	NOUN
brj-24472	418	13	-	-	PUNCT
brj-24472	418	14	bpnn	bpnn	NOUN
brj-24472	418	15	)	)	PUNCT
brj-24472	418	16	is	be	AUX
brj-24472	418	17	used	use	VERB
brj-24472	418	18	to	to	PART
brj-24472	418	19	construct	construct	VERB
brj-24472	418	20	a	a	DET
brj-24472	418	21	mapping	mapping	NOUN
brj-24472	418	22	model	model	NOUN
brj-24472	418	23	between	between	ADP
brj-24472	418	24	design	design	NOUN
brj-24472	418	25	elements	element	NOUN
brj-24472	418	26	and	and	CCONJ
brj-24472	418	27	emotional	emotional	ADJ
brj-24472	418	28	needs	need	NOUN
brj-24472	418	29	.	.	PUNCT
brj-24472	419	1	the	the	DET
brj-24472	419	2	evaluation	evaluation	NOUN
brj-24472	419	3	results	result	NOUN
brj-24472	419	4	of	of	ADP
brj-24472	419	5	the	the	DET
brj-24472	419	6	subjects	subject	NOUN
brj-24472	419	7	show	show	VERB
brj-24472	419	8	that	that	SCONJ
brj-24472	419	9	it	it	PRON
brj-24472	419	10	is	be	AUX
brj-24472	419	11	significantly	significantly	ADV
brj-24472	419	12	higher	high	ADJ
brj-24472	419	13	than	than	ADP
brj-24472	419	14	the	the	DET
brj-24472	419	15	mean	mean	ADJ
brj-24472	419	16	value	value	NOUN
brj-24472	419	17	,	,	PUNCT
brj-24472	419	18	which	which	PRON
brj-24472	419	19	improves	improve	VERB
brj-24472	419	20	the	the	DET
brj-24472	419	21	emotional	emotional	ADJ
brj-24472	419	22	semantics	semantic	NOUN
brj-24472	419	23	of	of	ADP
brj-24472	419	24	products	product	NOUN
brj-24472	419	25	and	and	CCONJ
brj-24472	419	26	proves	prove	VERB
brj-24472	419	27	the	the	DET
brj-24472	419	28	feasibility	feasibility	NOUN
brj-24472	419	29	of	of	ADP
brj-24472	419	30	the	the	DET
brj-24472	419	31	proposed	propose	VERB
brj-24472	419	32	research	research	NOUN
brj-24472	419	33	framework	framework	NOUN
brj-24472	419	34	.	.	PUNCT
brj-24472	420	1	2	2	X
brj-24472	420	2	.	.	X
brj-24472	420	3	a	a	DET
brj-24472	420	4	kansei	kansei	ADJ
brj-24472	420	5	engineering	engineering	NOUN
brj-24472	420	6	(	(	PUNCT
brj-24472	420	7	ke	ke	NOUN
brj-24472	420	8	)	)	PUNCT
brj-24472	420	9	model	model	NOUN
brj-24472	420	10	combining	combine	VERB
brj-24472	420	11	rough	rough	ADJ
brj-24472	420	12	set	set	NOUN
brj-24472	420	13	theory	theory	NOUN
brj-24472	420	14	(	(	PUNCT
brj-24472	420	15	rst	rst	PROPN
brj-24472	420	16	)	)	PUNCT
brj-24472	420	17	,	,	PUNCT
brj-24472	420	18	ga	ga	PROPN
brj-24472	420	19	-	-	PUNCT
brj-24472	420	20	bpnn	bpnn	NOUN
brj-24472	420	21	and	and	CCONJ
brj-24472	420	22	shapley	shapley	ADJ
brj-24472	420	23	additive	additive	ADJ
brj-24472	420	24	explanations	explanation	NOUN
brj-24472	420	25	(	(	PUNCT
brj-24472	420	26	shap	shap	NOUN
brj-24472	420	27	)	)	PUNCT
brj-24472	420	28	is	be	AUX
brj-24472	420	29	proposed	propose	VERB
brj-24472	420	30	to	to	PART
brj-24472	420	31	optimize	optimize	VERB
brj-24472	420	32	the	the	DET
brj-24472	420	33	ai	ai	NOUN
brj-24472	420	34	-	-	PUNCT
brj-24472	420	35	assisted	assist	VERB
brj-24472	420	36	method	method	NOUN
brj-24472	420	37	of	of	ADP
brj-24472	420	38	product	product	NOUN
brj-24472	420	39	shape	shape	NOUN
brj-24472	420	40	design	design	NOUN
brj-24472	420	41	.	.	PUNCT
brj-24472	421	1	3	3	X
brj-24472	421	2	.	.	X
brj-24472	421	3	rst	rst	PROPN
brj-24472	421	4	attribute	attribute	NOUN
brj-24472	421	5	reduction	reduction	NOUN
brj-24472	421	6	algorithm	algorithm	NOUN
brj-24472	421	7	is	be	AUX
brj-24472	421	8	used	use	VERB
brj-24472	421	9	instead	instead	ADV
brj-24472	421	10	of	of	ADP
brj-24472	421	11	the	the	DET
brj-24472	421	12	traditional	traditional	ADJ
brj-24472	421	13	method	method	NOUN
brj-24472	421	14	to	to	PART
brj-24472	421	15	extract	extract	VERB
brj-24472	421	16	the	the	DET
brj-24472	421	17	key	key	ADJ
brj-24472	421	18	users	user	NOUN
brj-24472	421	19	’	’	PART
brj-24472	421	20	emotional	emotional	ADJ
brj-24472	421	21	needs	need	NOUN
brj-24472	421	22	,	,	PUNCT
brj-24472	421	23	which	which	PRON
brj-24472	421	24	provides	provide	VERB
brj-24472	421	25	a	a	DET
brj-24472	421	26	more	more	ADV
brj-24472	421	27	efficient	efficient	ADJ
brj-24472	421	28	and	and	CCONJ
brj-24472	421	29	accurate	accurate	ADJ
brj-24472	421	30	method	method	NOUN
brj-24472	421	31	for	for	ADP
brj-24472	421	32	this	this	DET
brj-24472	421	33	field	field	NOUN
brj-24472	421	34	.	.	PUNCT
brj-24472	422	1	thus	thus	ADV
brj-24472	422	2	,	,	PUNCT
brj-24472	422	3	the	the	DET
brj-24472	422	4	designer	designer	NOUN
brj-24472	422	5	can	can	AUX
brj-24472	422	6	accurately	accurately	ADV
brj-24472	422	7	grasp	grasp	VERB
brj-24472	422	8	the	the	DET
brj-24472	422	9	users	user	NOUN
brj-24472	422	10	’	'	PUNCT
brj-24472	422	11	needs	need	NOUN
brj-24472	422	12	.	.	PUNCT
brj-24472	423	1	at	at	ADP
brj-24472	423	2	the	the	DET
brj-24472	423	3	same	same	ADJ
brj-24472	423	4	time	time	NOUN
brj-24472	423	5	,	,	PUNCT
brj-24472	423	6	shap	shap	PROPN
brj-24472	423	7	interpretability	interpretability	NOUN
brj-24472	423	8	analysis	analysis	NOUN
brj-24472	423	9	is	be	AUX
brj-24472	423	10	used	use	VERB
brj-24472	423	11	to	to	PART
brj-24472	423	12	examine	examine	VERB
brj-24472	423	13	the	the	DET
brj-24472	423	14	functioning	functioning	ADJ
brj-24472	423	15	mechanism	mechanism	NOUN
brj-24472	423	16	of	of	ADP
brj-24472	423	17	the	the	DET
brj-24472	423	18	ga	ga	PROPN
brj-24472	423	19	-	-	PUNCT
brj-24472	423	20	bpnn	bpnn	NOUN
brj-24472	423	21	,	,	PUNCT
brj-24472	423	22	revealing	reveal	VERB
brj-24472	423	23	which	which	DET
brj-24472	423	24	design	design	NOUN
brj-24472	423	25	parameters	parameter	NOUN
brj-24472	423	26	are	be	AUX
brj-24472	423	27	key	key	ADJ
brj-24472	423	28	factors	factor	NOUN
brj-24472	423	29	influencing	influence	VERB
brj-24472	423	30	user	user	NOUN
brj-24472	423	31	emotions	emotion	NOUN
brj-24472	423	32	.	.	PUNCT
brj-24472	424	1	4	4	X
brj-24472	424	2	.	.	X
brj-24472	424	3	in	in	ADP
brj-24472	424	4	this	this	DET
brj-24472	424	5	study	study	NOUN
brj-24472	424	6	,	,	PUNCT
brj-24472	424	7	ke	ke	PROPN
brj-24472	424	8	words	word	NOUN
brj-24472	424	9	are	be	AUX
brj-24472	424	10	used	use	VERB
brj-24472	424	11	as	as	ADP
brj-24472	424	12	a	a	DET
brj-24472	424	13	summary	summary	NOUN
brj-24472	424	14	in	in	ADP
brj-24472	424	15	the	the	DET
brj-24472	424	16	extraction	extraction	NOUN
brj-24472	424	17	of	of	ADP
brj-24472	424	18	users	user	NOUN
brj-24472	424	19	’	'	PUNCT
brj-24472	424	20	emotional	emotional	ADJ
brj-24472	424	21	needs	need	NOUN
brj-24472	424	22	and	and	CCONJ
brj-24472	424	23	are	be	AUX
brj-24472	424	24	limited	limit	VERB
brj-24472	424	25	to	to	ADP
brj-24472	424	26	simple	simple	ADJ
brj-24472	424	27	adjectives	adjective	NOUN
brj-24472	424	28	and	and	CCONJ
brj-24472	424	29	do	do	AUX
brj-24472	424	30	not	not	PART
brj-24472	424	31	accurately	accurately	ADV
brj-24472	424	32	describe	describe	VERB
brj-24472	424	33	complex	complex	ADJ
brj-24472	424	34	peer	peer	NOUN
brj-24472	424	35	-	-	PUNCT
brj-24472	424	36	reviewed	review	VERB
brj-24472	424	37	article	article	NOUN
brj-24472	424	38	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	424	39	huang	huang	PROPN
brj-24472	424	40	et	et	PROPN
brj-24472	424	41	al	al	PROPN
brj-24472	424	42	.	.	PROPN
brj-24472	425	1	(	(	PUNCT
brj-24472	425	2	2025	2025	NUM
brj-24472	425	3	)	)	PUNCT
brj-24472	425	4	.	.	PUNCT
brj-24472	426	1	“	"	PUNCT
brj-24472	426	2	bamboo	bamboo	NOUN
brj-24472	426	3	furniture	furniture	NOUN
brj-24472	426	4	design	design	NOUN
brj-24472	426	5	,	,	PUNCT
brj-24472	426	6	”	"	PUNCT
brj-24472	426	7	bioresources	bioresource	NOUN
brj-24472	426	8	20(3	20(3	NOUN
brj-24472	426	9	)	)	PUNCT
brj-24472	426	10	,	,	PUNCT
brj-24472	426	11	7107	7107	NUM
brj-24472	426	12	-	-	SYM
brj-24472	426	13	7133	7133	NUM
brj-24472	426	14	.	.	PUNCT
brj-24472	427	1	7130	7130	NUM
brj-24472	427	2	emotional	emotional	ADJ
brj-24472	427	3	needs	need	NOUN
brj-24472	427	4	.	.	PUNCT
brj-24472	428	1	in	in	ADP
brj-24472	428	2	the	the	DET
brj-24472	428	3	future	future	NOUN
brj-24472	428	4	,	,	PUNCT
brj-24472	428	5	it	it	PRON
brj-24472	428	6	is	be	AUX
brj-24472	428	7	suggested	suggest	VERB
brj-24472	428	8	to	to	PART
brj-24472	428	9	consider	consider	VERB
brj-24472	428	10	introducing	introduce	VERB
brj-24472	428	11	physiological	physiological	ADJ
brj-24472	428	12	instruments	instrument	NOUN
brj-24472	428	13	such	such	ADJ
brj-24472	428	14	as	as	ADP
brj-24472	428	15	eye	eye	NOUN
brj-24472	428	16	tracker	tracker	NOUN
brj-24472	428	17	,	,	PUNCT
brj-24472	428	18	electroencephalogram	electroencephalogram	VERB
brj-24472	428	19	to	to	PART
brj-24472	428	20	comprehensively	comprehensively	ADV
brj-24472	428	21	measure	measure	VERB
brj-24472	428	22	users	user	NOUN
brj-24472	428	23	’	'	PUNCT
brj-24472	428	24	emotional	emotional	ADJ
brj-24472	428	25	needs	need	NOUN
brj-24472	428	26	.	.	PUNCT
brj-24472	429	1	references	reference	NOUN
brj-24472	429	2	cited	cite	VERB
brj-24472	429	3	achar	achar	PROPN
brj-24472	429	4	,	,	PUNCT
brj-24472	429	5	c.	c.	PROPN
brj-24472	429	6	,	,	PUNCT
brj-24472	429	7	so	so	ADV
brj-24472	429	8	,	,	PUNCT
brj-24472	429	9	j.	j.	PROPN
brj-24472	429	10	,	,	PUNCT
brj-24472	429	11	agrawal	agrawal	PROPN
brj-24472	429	12	,	,	PUNCT
brj-24472	429	13	n.	n.	NOUN
brj-24472	429	14	,	,	PUNCT
brj-24472	429	15	and	and	CCONJ
brj-24472	429	16	duhachek	duhachek	PROPN
brj-24472	429	17	,	,	PUNCT
brj-24472	429	18	a.	a.	NOUN
brj-24472	429	19	(	(	PUNCT
brj-24472	429	20	2016	2016	NUM
brj-24472	429	21	)	)	PUNCT
brj-24472	429	22	.	.	PUNCT
brj-24472	430	1	“	"	PUNCT
brj-24472	430	2	what	what	PRON
brj-24472	430	3	we	we	PRON
brj-24472	430	4	feel	feel	VERB
brj-24472	430	5	and	and	CCONJ
brj-24472	430	6	why	why	SCONJ
brj-24472	430	7	we	we	PRON
brj-24472	430	8	buy	buy	VERB
brj-24472	430	9	:	:	PUNCT
brj-24472	430	10	the	the	DET
brj-24472	430	11	influence	influence	NOUN
brj-24472	430	12	of	of	ADP
brj-24472	430	13	emotions	emotion	NOUN
brj-24472	430	14	on	on	ADP
brj-24472	430	15	consumer	consumer	NOUN
brj-24472	430	16	decision	decision	NOUN
brj-24472	430	17	-	-	PUNCT
brj-24472	430	18	making	making	NOUN
brj-24472	430	19	,	,	PUNCT
brj-24472	430	20	”	"	PUNCT
brj-24472	430	21	current	current	ADJ
brj-24472	430	22	opinion	opinion	NOUN
brj-24472	430	23	in	in	ADP
brj-24472	430	24	psychology	psychology	NOUN
brj-24472	430	25	10	10	NUM
brj-24472	430	26	,	,	PUNCT
brj-24472	430	27	166	166	NUM
brj-24472	430	28	-	-	SYM
brj-24472	430	29	170	170	NUM
brj-24472	430	30	.	.	PUNCT
brj-24472	431	1	doi	doi	NOUN
brj-24472	431	2	:	:	PUNCT
brj-24472	431	3	10.1016	10.1016	NUM
brj-24472	431	4	/	/	SYM
brj-24472	431	5	j.copsyc.2016.01.009	j.copsyc.2016.01.009	PROPN
brj-24472	431	6	akgül	akgül	NOUN
brj-24472	431	7	,	,	PUNCT
brj-24472	431	8	e.	e.	PROPN
brj-24472	431	9	,	,	PUNCT
brj-24472	431	10	özmen	özman	NOUN
brj-24472	431	11	,	,	PUNCT
brj-24472	431	12	m.	m.	NOUN
brj-24472	431	13	,	,	PUNCT
brj-24472	431	14	aydoğan	aydoğan	NOUN
brj-24472	431	15	,	,	PUNCT
brj-24472	431	16	e.	e.	PROPN
brj-24472	431	17	k.	k.	PROPN
brj-24472	431	18	,	,	PUNCT
brj-24472	431	19	and	and	CCONJ
brj-24472	431	20	sinanoğlu	sinanoğlu	PROPN
brj-24472	431	21	,	,	PUNCT
brj-24472	431	22	c.	c.	PROPN
brj-24472	431	23	(	(	PUNCT
brj-24472	431	24	2020	2020	NUM
brj-24472	431	25	)	)	PUNCT
brj-24472	431	26	.	.	PUNCT
brj-24472	432	1	“	"	PUNCT
brj-24472	432	2	baby	baby	NOUN
brj-24472	432	3	cradle	cradle	NOUN
brj-24472	432	4	design	design	NOUN
brj-24472	432	5	with	with	ADP
brj-24472	432	6	kansei	kansei	ADJ
brj-24472	432	7	knowledge	knowledge	NOUN
brj-24472	432	8	mining	mining	NOUN
brj-24472	432	9	based	base	VERB
brj-24472	432	10	on	on	ADP
brj-24472	432	11	rough	rough	ADJ
brj-24472	432	12	set	set	NOUN
brj-24472	432	13	theory	theory	NOUN
brj-24472	432	14	,	,	PUNCT
brj-24472	432	15	”	"	PUNCT
brj-24472	432	16	customer	customer	NOUN
brj-24472	432	17	oriented	orient	VERB
brj-24472	432	18	product	product	NOUN
brj-24472	432	19	design	design	NOUN
brj-24472	432	20	:	:	PUNCT
brj-24472	432	21	intelligent	intelligent	ADJ
brj-24472	432	22	and	and	CCONJ
brj-24472	432	23	fuzzy	fuzzy	ADJ
brj-24472	432	24	techniques	technique	NOUN
brj-24472	432	25	,	,	PUNCT
brj-24472	432	26	469	469	NUM
brj-24472	432	27	-	-	SYM
brj-24472	432	28	478	478	NUM
brj-24472	432	29	.	.	PUNCT
brj-24472	433	1	doi	doi	NOUN
brj-24472	433	2	:	:	PUNCT
brj-24472	433	3	10.1007/978	10.1007/978	NUM
brj-24472	433	4	-	-	SYM
brj-24472	433	5	3030	3030	NUM
brj-24472	433	6	-	-	SYM
brj-24472	433	7	42188	42188	NUM
brj-24472	433	8	-	-	SYM
brj-24472	433	9	5_24	5_24	NUM
brj-24472	433	10	al	al	PROPN
brj-24472	433	11	-	-	PUNCT
brj-24472	433	12	jarrah	jarrah	PROPN
brj-24472	433	13	,	,	PUNCT
brj-24472	433	14	r.	r.	PROPN
brj-24472	433	15	,	,	PUNCT
brj-24472	433	16	and	and	CCONJ
brj-24472	433	17	al	al	PROPN
brj-24472	433	18	-	-	PUNCT
brj-24472	433	19	oqla	oqla	PROPN
brj-24472	433	20	,	,	PUNCT
brj-24472	433	21	f.	f.	PROPN
brj-24472	433	22	m.	m.	PROPN
brj-24472	433	23	(	(	PUNCT
brj-24472	433	24	2022	2022	NUM
brj-24472	433	25	)	)	PUNCT
brj-24472	433	26	.	.	PUNCT
brj-24472	434	1	“	"	PUNCT
brj-24472	434	2	a	a	DET
brj-24472	434	3	novel	novel	NOUN
brj-24472	434	4	integrated	integrate	VERB
brj-24472	434	5	bpnn	bpnn	NOUN
brj-24472	434	6	/	/	SYM
brj-24472	434	7	snn	snn	PROPN
brj-24472	434	8	artificial	artificial	ADJ
brj-24472	434	9	neural	neural	ADJ
brj-24472	434	10	network	network	NOUN
brj-24472	434	11	for	for	ADP
brj-24472	434	12	predicting	predict	VERB
brj-24472	434	13	the	the	DET
brj-24472	434	14	mechanical	mechanical	ADJ
brj-24472	434	15	performance	performance	NOUN
brj-24472	434	16	of	of	ADP
brj-24472	434	17	green	green	ADJ
brj-24472	434	18	fibers	fiber	NOUN
brj-24472	434	19	for	for	ADP
brj-24472	434	20	better	well	ADJ
brj-24472	434	21	composite	composite	ADJ
brj-24472	434	22	manufacturing	manufacturing	NOUN
brj-24472	434	23	,	,	PUNCT
brj-24472	434	24	”	"	PUNCT
brj-24472	434	25	composite	composite	ADJ
brj-24472	434	26	structures	structure	NOUN
brj-24472	434	27	289	289	NUM
brj-24472	434	28	,	,	PUNCT
brj-24472	434	29	115475	115475	NUM
brj-24472	434	30	.	.	PUNCT
brj-24472	435	1	doi	doi	NOUN
brj-24472	435	2	:	:	PUNCT
brj-24472	435	3	10.1016	10.1016	NUM
brj-24472	435	4	/	/	SYM
brj-24472	435	5	j.compstruct.2022.115475	j.compstruct.2022.115475	PROPN
brj-24472	435	6	al	al	PROPN
brj-24472	435	7	hamli	hamli	PROPN
brj-24472	435	8	,	,	PUNCT
brj-24472	435	9	s.	s.	PROPN
brj-24472	435	10	s.	s.	PROPN
brj-24472	435	11	,	,	PUNCT
brj-24472	435	12	and	and	CCONJ
brj-24472	435	13	sobaih	sobaih	NOUN
brj-24472	435	14	,	,	PUNCT
brj-24472	435	15	a.	a.	PROPN
brj-24472	435	16	e.	e.	PROPN
brj-24472	435	17	e.	e.	PROPN
brj-24472	435	18	(	(	PUNCT
brj-24472	435	19	2023	2023	NUM
brj-24472	435	20	)	)	PUNCT
brj-24472	435	21	.	.	PUNCT
brj-24472	436	1	“	"	PUNCT
brj-24472	436	2	factors	factor	NOUN
brj-24472	436	3	influencing	influence	VERB
brj-24472	436	4	consumer	consumer	NOUN
brj-24472	436	5	behavior	behavior	NOUN
brj-24472	436	6	towards	towards	ADP
brj-24472	436	7	online	online	ADJ
brj-24472	436	8	shopping	shopping	NOUN
brj-24472	436	9	in	in	ADP
brj-24472	436	10	saudi	saudi	PROPN
brj-24472	436	11	arabia	arabia	PROPN
brj-24472	436	12	amid	amid	ADP
brj-24472	436	13	covid-19	covid-19	PROPN
brj-24472	436	14	:	:	PUNCT
brj-24472	436	15	implications	implication	NOUN
brj-24472	436	16	for	for	ADP
brj-24472	436	17	ebusinesses	ebusinesse	NOUN
brj-24472	436	18	post	post	VERB
brj-24472	436	19	pandemic	pandemic	ADJ
brj-24472	436	20	,	,	PUNCT
brj-24472	436	21	”	"	PUNCT
brj-24472	436	22	journal	journal	NOUN
brj-24472	436	23	of	of	ADP
brj-24472	436	24	risk	risk	NOUN
brj-24472	436	25	and	and	CCONJ
brj-24472	436	26	financial	financial	ADJ
brj-24472	436	27	management	management	NOUN
brj-24472	436	28	16(1	16(1	NUM
brj-24472	436	29	)	)	PUNCT
brj-24472	436	30	,	,	PUNCT
brj-24472	436	31	36	36	NUM
brj-24472	437	1	.	.	PUNCT
brj-24472	437	2	doi	doi	NOUN
brj-24472	437	3	:	:	PUNCT
brj-24472	437	4	10.3390	10.3390	NUM
brj-24472	437	5	/	/	SYM
brj-24472	437	6	jrfm16010036	jrfm16010036	PROPN
brj-24472	437	7	bai	bai	PROPN
brj-24472	437	8	,	,	PUNCT
brj-24472	437	9	l.	l.	PROPN
brj-24472	437	10	,	,	PUNCT
brj-24472	437	11	song	song	NOUN
brj-24472	437	12	,	,	PUNCT
brj-24472	437	13	c.	c.	PROPN
brj-24472	437	14	,	,	PUNCT
brj-24472	437	15	zhou	zhou	PROPN
brj-24472	437	16	,	,	PUNCT
brj-24472	437	17	x.	x.	PROPN
brj-24472	437	18	,	,	PUNCT
brj-24472	437	19	tian	tian	PROPN
brj-24472	437	20	,	,	PUNCT
brj-24472	437	21	y.	y.	PROPN
brj-24472	437	22	,	,	PUNCT
brj-24472	437	23	and	and	CCONJ
brj-24472	437	24	wei	wei	PROPN
brj-24472	437	25	,	,	PUNCT
brj-24472	437	26	l.	l.	PROPN
brj-24472	437	27	(	(	PUNCT
brj-24472	437	28	2023	2023	NUM
brj-24472	437	29	)	)	PUNCT
brj-24472	437	30	.	.	PUNCT
brj-24472	438	1	“	"	PUNCT
brj-24472	438	2	assessing	assess	VERB
brj-24472	438	3	project	project	NOUN
brj-24472	438	4	portfolio	portfolio	NOUN
brj-24472	438	5	risk	risk	NOUN
brj-24472	438	6	via	via	ADP
brj-24472	438	7	an	an	DET
brj-24472	438	8	enhanced	enhance	VERB
brj-24472	438	9	ga	ga	NOUN
brj-24472	438	10	-	-	PUNCT
brj-24472	438	11	bpnn	bpnn	NOUN
brj-24472	438	12	combined	combine	VERB
brj-24472	438	13	with	with	ADP
brj-24472	438	14	pca	pca	NOUN
brj-24472	438	15	,	,	PUNCT
brj-24472	438	16	”	"	PUNCT
brj-24472	438	17	engineering	engineering	NOUN
brj-24472	438	18	applications	application	NOUN
brj-24472	438	19	of	of	ADP
brj-24472	438	20	artificial	artificial	ADJ
brj-24472	438	21	intelligence	intelligence	NOUN
brj-24472	438	22	126	126	NUM
brj-24472	438	23	,	,	PUNCT
brj-24472	438	24	106779	106779	NUM
brj-24472	438	25	.	.	PUNCT
brj-24472	439	1	doi	doi	NOUN
brj-24472	439	2	:	:	PUNCT
brj-24472	439	3	10.1016	10.1016	NUM
brj-24472	439	4	/	/	SYM
brj-24472	439	5	j.engappai.2023.106779	j.engappai.2023.106779	PROPN
brj-24472	439	6	cai	cai	PROPN
brj-24472	439	7	,	,	PUNCT
brj-24472	439	8	m.	m.	NOUN
brj-24472	439	9	,	,	PUNCT
brj-24472	439	10	wu	wu	PROPN
brj-24472	439	11	,	,	PUNCT
brj-24472	439	12	m.	m.	NOUN
brj-24472	439	13	,	,	PUNCT
brj-24472	439	14	luo	luo	PROPN
brj-24472	439	15	,	,	PUNCT
brj-24472	439	16	x.	x.	PROPN
brj-24472	439	17	,	,	PUNCT
brj-24472	439	18	wang	wang	PROPN
brj-24472	439	19	,	,	PUNCT
brj-24472	439	20	q.	q.	PROPN
brj-24472	439	21	,	,	PUNCT
brj-24472	439	22	zhang	zhang	PROPN
brj-24472	439	23	,	,	PUNCT
brj-24472	439	24	z.	z.	PROPN
brj-24472	439	25	,	,	PUNCT
brj-24472	439	26	and	and	CCONJ
brj-24472	439	27	ji	ji	PROPN
brj-24472	439	28	,	,	PUNCT
brj-24472	439	29	z.	z.	PROPN
brj-24472	439	30	(	(	PUNCT
brj-24472	439	31	2023	2023	NUM
brj-24472	439	32	)	)	PUNCT
brj-24472	439	33	.	.	PUNCT
brj-24472	440	1	“	"	PUNCT
brj-24472	440	2	integrated	integrate	VERB
brj-24472	440	3	framework	framework	NOUN
brj-24472	440	4	of	of	ADP
brj-24472	440	5	kansei	kansei	ADJ
brj-24472	440	6	engineering	engineering	PROPN
brj-24472	440	7	and	and	CCONJ
brj-24472	440	8	kano	kano	PROPN
brj-24472	440	9	model	model	PROPN
brj-24472	440	10	applied	apply	VERB
brj-24472	440	11	to	to	ADP
brj-24472	440	12	service	service	NOUN
brj-24472	440	13	design	design	NOUN
brj-24472	440	14	,	,	PUNCT
brj-24472	440	15	”	"	PUNCT
brj-24472	440	16	international	international	ADJ
brj-24472	440	17	journal	journal	NOUN
brj-24472	440	18	of	of	ADP
brj-24472	440	19	human	human	ADJ
brj-24472	440	20	–	–	PUNCT
brj-24472	440	21	computer	computer	NOUN
brj-24472	440	22	interaction	interaction	NOUN
brj-24472	440	23	39(5	39(5	NOUN
brj-24472	440	24	)	)	PUNCT
brj-24472	440	25	,	,	PUNCT
brj-24472	440	26	1096	1096	NUM
brj-24472	440	27	-	-	SYM
brj-24472	440	28	1110	1110	NUM
brj-24472	440	29	.	.	PUNCT
brj-24472	441	1	doi	doi	NOUN
brj-24472	441	2	:	:	PUNCT
brj-24472	441	3	10.1080/10447318.2022.2102301	10.1080/10447318.2022.2102301	NUM
brj-24472	441	4	chen	chen	PROPN
brj-24472	441	5	,	,	PUNCT
brj-24472	441	6	w.	w.	PROPN
brj-24472	441	7	(	(	PUNCT
brj-24472	441	8	2022	2022	NUM
brj-24472	441	9	)	)	PUNCT
brj-24472	441	10	.	.	PUNCT
brj-24472	442	1	“	"	PUNCT
brj-24472	442	2	research	research	NOUN
brj-24472	442	3	on	on	ADP
brj-24472	442	4	furniture	furniture	NOUN
brj-24472	442	5	design	design	NOUN
brj-24472	442	6	integrating	integrating	NOUN
brj-24472	442	7	ming‐style	ming‐style	NOUN
brj-24472	442	8	furniture	furniture	NOUN
brj-24472	442	9	modeling	model	VERB
brj-24472	442	10	elements	element	NOUN
brj-24472	442	11	and	and	CCONJ
brj-24472	442	12	image	image	NOUN
brj-24472	442	13	sensor	sensor	NOUN
brj-24472	442	14	data	datum	NOUN
brj-24472	442	15	:	:	PUNCT
brj-24472	442	16	taking	take	VERB
brj-24472	442	17	suitable	suitable	ADJ
brj-24472	442	18	old	old	ADJ
brj-24472	442	19	furniture	furniture	NOUN
brj-24472	442	20	as	as	ADP
brj-24472	442	21	an	an	DET
brj-24472	442	22	example	example	NOUN
brj-24472	442	23	,	,	PUNCT
brj-24472	442	24	”	"	PUNCT
brj-24472	442	25	journal	journal	NOUN
brj-24472	442	26	of	of	ADP
brj-24472	442	27	sensors	sensor	NOUN
brj-24472	442	28	2022(1	2022(1	NUM
brj-24472	442	29	)	)	PUNCT
brj-24472	442	30	,	,	PUNCT
brj-24472	442	31	5306491	5306491	NUM
brj-24472	442	32	.	.	PUNCT
brj-24472	443	1	doi	doi	NOUN
brj-24472	443	2	:	:	PUNCT
brj-24472	443	3	1155.2022/5306491/3	1155.2022/5306491/3	PROPN
brj-24472	443	4	chen	chen	PROPN
brj-24472	443	5	,	,	PUNCT
brj-24472	443	6	z.	z.	PROPN
brj-24472	443	7	(	(	PUNCT
brj-24472	443	8	2024a	2024a	NUM
brj-24472	443	9	)	)	PUNCT
brj-24472	443	10	.	.	PUNCT
brj-24472	444	1	“	"	PUNCT
brj-24472	444	2	an	an	DET
brj-24472	444	3	elderly	elderly	ADV
brj-24472	444	4	-	-	PUNCT
brj-24472	444	5	oriented	orient	VERB
brj-24472	444	6	design	design	NOUN
brj-24472	444	7	of	of	ADP
brj-24472	444	8	hmi	hmi	PROPN
brj-24472	444	9	in	in	ADP
brj-24472	444	10	autonomous	autonomous	ADJ
brj-24472	444	11	driving	drive	VERB
brj-24472	444	12	cars	car	NOUN
brj-24472	444	13	based	base	VERB
brj-24472	444	14	on	on	ADP
brj-24472	444	15	rough	rough	ADJ
brj-24472	444	16	set	set	NOUN
brj-24472	444	17	theory	theory	NOUN
brj-24472	444	18	and	and	CCONJ
brj-24472	444	19	backpropagation	backpropagation	NOUN
brj-24472	444	20	neural	neural	ADJ
brj-24472	444	21	network	network	NOUN
brj-24472	444	22	,	,	PUNCT
brj-24472	444	23	”	"	PUNCT
brj-24472	444	24	ieee	ieee	NOUN
brj-24472	444	25	access	access	NOUN
brj-24472	444	26	12	12	NUM
brj-24472	444	27	,	,	PUNCT
brj-24472	444	28	2680026818	2680026818	NUM
brj-24472	444	29	.	.	PUNCT
brj-24472	445	1	doi	doi	NOUN
brj-24472	445	2	:	:	PUNCT
brj-24472	445	3	10.1109	10.1109	NUM
brj-24472	445	4	/	/	SYM
brj-24472	445	5	access.2024.3366548	access.2024.3366548	PROPN
brj-24472	445	6	chen	chen	PROPN
brj-24472	445	7	,	,	PUNCT
brj-24472	445	8	z.	z.	PROPN
brj-24472	445	9	(	(	PUNCT
brj-24472	445	10	2024b	2024b	NUM
brj-24472	445	11	)	)	PUNCT
brj-24472	445	12	.	.	PUNCT
brj-24472	446	1	“	"	PUNCT
brj-24472	446	2	an	an	DET
brj-24472	446	3	elderly	elderly	ADV
brj-24472	446	4	-	-	PUNCT
brj-24472	446	5	oriented	orient	VERB
brj-24472	446	6	form	form	NOUN
brj-24472	446	7	design	design	NOUN
brj-24472	446	8	of	of	ADP
brj-24472	446	9	low	low	ADJ
brj-24472	446	10	-	-	PUNCT
brj-24472	446	11	speed	speed	NOUN
brj-24472	446	12	new	new	ADJ
brj-24472	446	13	energy	energy	NOUN
brj-24472	446	14	vehicles	vehicle	NOUN
brj-24472	446	15	based	base	VERB
brj-24472	446	16	on	on	ADP
brj-24472	446	17	rough	rough	ADJ
brj-24472	446	18	set	set	NOUN
brj-24472	446	19	theory	theory	NOUN
brj-24472	446	20	and	and	CCONJ
brj-24472	446	21	support	support	NOUN
brj-24472	446	22	vector	vector	NOUN
brj-24472	446	23	regression	regression	NOUN
brj-24472	446	24	,	,	PUNCT
brj-24472	446	25	”	"	PUNCT
brj-24472	446	26	world	world	NOUN
brj-24472	446	27	electric	electric	PROPN
brj-24472	446	28	vehicle	vehicle	PROPN
brj-24472	446	29	journal	journal	PROPN
brj-24472	446	30	15(9	15(9	NUM
brj-24472	446	31	)	)	PUNCT
brj-24472	446	32	,	,	PUNCT
brj-24472	446	33	389	389	NUM
brj-24472	446	34	.	.	PUNCT
brj-24472	447	1	doi	doi	NOUN
brj-24472	447	2	:	:	PUNCT
brj-24472	447	3	10.3390	10.3390	NUM
brj-24472	447	4	/	/	SYM
brj-24472	447	5	wevj15090389	wevj15090389	PROPN
brj-24472	447	6	deng	deng	PROPN
brj-24472	447	7	,	,	PUNCT
brj-24472	447	8	w.	w.	PROPN
brj-24472	447	9	,	,	PUNCT
brj-24472	447	10	lin	lin	PROPN
brj-24472	447	11	,	,	PUNCT
brj-24472	447	12	h.	h.	PROPN
brj-24472	447	13	,	,	PUNCT
brj-24472	447	14	and	and	CCONJ
brj-24472	447	15	jiang	jiang	PROPN
brj-24472	447	16	,	,	PUNCT
brj-24472	447	17	m.	m.	NOUN
brj-24472	447	18	(	(	PUNCT
brj-24472	447	19	2023	2023	NUM
brj-24472	447	20	)	)	PUNCT
brj-24472	447	21	.	.	PUNCT
brj-24472	448	1	“	"	PUNCT
brj-24472	448	2	research	research	NOUN
brj-24472	448	3	on	on	ADP
brj-24472	448	4	bamboo	bamboo	NOUN
brj-24472	448	5	furniture	furniture	NOUN
brj-24472	448	6	design	design	NOUN
brj-24472	448	7	based	base	VERB
brj-24472	448	8	on	on	ADP
brj-24472	448	9	d4s	d4s	NOUN
brj-24472	448	10	(	(	PUNCT
brj-24472	448	11	design	design	NOUN
brj-24472	448	12	for	for	ADP
brj-24472	448	13	sustainability	sustainability	NOUN
brj-24472	448	14	)	)	PUNCT
brj-24472	448	15	,	,	PUNCT
brj-24472	448	16	”	"	PUNCT
brj-24472	448	17	sustainability	sustainability	NOUN
brj-24472	448	18	15(11	15(11	NUM
brj-24472	448	19	)	)	PUNCT
brj-24472	448	20	,	,	PUNCT
brj-24472	448	21	8832	8832	NUM
brj-24472	448	22	.	.	PUNCT
brj-24472	449	1	doi	doi	NOUN
brj-24472	449	2	:	:	PUNCT
brj-24472	449	3	10.3390	10.3390	NUM
brj-24472	449	4	/	/	SYM
brj-24472	449	5	su15118832	su15118832	NOUN
brj-24472	449	6	dolgun	dolgun	NOUN
brj-24472	449	7	,	,	PUNCT
brj-24472	449	8	l.	l.	PROPN
brj-24472	449	9	e.	e.	PROPN
brj-24472	449	10	,	,	PUNCT
brj-24472	449	11	and	and	CCONJ
brj-24472	449	12	köksal	köksal	NOUN
brj-24472	449	13	,	,	PUNCT
brj-24472	449	14	g.	g.	PROPN
brj-24472	449	15	(	(	PUNCT
brj-24472	449	16	2018	2018	NUM
brj-24472	449	17	)	)	PUNCT
brj-24472	449	18	.	.	PUNCT
brj-24472	450	1	“	"	PUNCT
brj-24472	450	2	effective	effective	ADJ
brj-24472	450	3	use	use	NOUN
brj-24472	450	4	of	of	ADP
brj-24472	450	5	quality	quality	NOUN
brj-24472	450	6	function	function	NOUN
brj-24472	450	7	deployment	deployment	NOUN
brj-24472	450	8	and	and	CCONJ
brj-24472	450	9	kansei	kansei	ADJ
brj-24472	450	10	engineering	engineering	NOUN
brj-24472	450	11	for	for	ADP
brj-24472	450	12	product	product	NOUN
brj-24472	450	13	planning	planning	NOUN
brj-24472	450	14	with	with	ADP
brj-24472	450	15	sensory	sensory	ADJ
brj-24472	450	16	customer	customer	NOUN
brj-24472	450	17	requirements	requirement	NOUN
brj-24472	450	18	:	:	PUNCT
brj-24472	450	19	a	a	DET
brj-24472	450	20	plain	plain	ADJ
brj-24472	450	21	yogurt	yogurt	NOUN
brj-24472	450	22	case	case	NOUN
brj-24472	450	23	,	,	PUNCT
brj-24472	450	24	”	"	PUNCT
brj-24472	450	25	quality	quality	NOUN
brj-24472	450	26	engineering	engineering	NOUN
brj-24472	450	27	30(4	30(4	NUM
brj-24472	450	28	)	)	PUNCT
brj-24472	450	29	,	,	PUNCT
brj-24472	450	30	569	569	NUM
brj-24472	450	31	-	-	SYM
brj-24472	450	32	582	582	NUM
brj-24472	450	33	.	.	PUNCT
brj-24472	451	1	doi	doi	NOUN
brj-24472	451	2	:	:	PUNCT
brj-24472	451	3	10.1080/08982112.2017.1366511	10.1080/08982112.2017.1366511	NUM
brj-24472	451	4	fan	fan	NOUN
brj-24472	451	5	,	,	PUNCT
brj-24472	451	6	y.	y.	PROPN
brj-24472	451	7	,	,	PUNCT
brj-24472	451	8	zhu	zhu	PROPN
brj-24472	451	9	,	,	PUNCT
brj-24472	451	10	z.	z.	PROPN
brj-24472	451	11	,	,	PUNCT
brj-24472	451	12	luan	luan	PROPN
brj-24472	451	13	,	,	PUNCT
brj-24472	451	14	j.	j.	PROPN
brj-24472	451	15	,	,	PUNCT
brj-24472	451	16	and	and	CCONJ
brj-24472	451	17	liu	liu	PROPN
brj-24472	451	18	,	,	PUNCT
brj-24472	451	19	y.	y.	PROPN
brj-24472	451	20	(	(	PUNCT
brj-24472	451	21	2024	2024	NUM
brj-24472	451	22	)	)	PUNCT
brj-24472	451	23	.	.	PUNCT
brj-24472	452	1	“	"	PUNCT
brj-24472	452	2	exploring	explore	VERB
brj-24472	452	3	the	the	DET
brj-24472	452	4	application	application	NOUN
brj-24472	452	5	method	method	NOUN
brj-24472	452	6	of	of	ADP
brj-24472	452	7	bamboo	bamboo	NOUN
brj-24472	452	8	powder	powder	NOUN
brj-24472	452	9	in	in	ADP
brj-24472	452	10	promoting	promote	VERB
brj-24472	452	11	the	the	DET
brj-24472	452	12	development	development	NOUN
brj-24472	452	13	of	of	ADP
brj-24472	452	14	sustainable	sustainable	ADJ
brj-24472	452	15	outdoor	outdoor	ADJ
brj-24472	452	16	furniture	furniture	NOUN
brj-24472	452	17	,	,	PUNCT
brj-24472	452	18	”	"	PUNCT
brj-24472	452	19	sustainability	sustainability	NOUN
brj-24472	452	20	16(24	16(24	NUM
brj-24472	452	21	)	)	PUNCT
brj-24472	452	22	,	,	PUNCT
brj-24472	452	23	11282	11282	NUM
brj-24472	452	24	.	.	PUNCT
brj-24472	453	1	doi	doi	NOUN
brj-24472	453	2	:	:	PUNCT
brj-24472	453	3	10.3390	10.3390	NUM
brj-24472	453	4	/	/	SYM
brj-24472	453	5	su162411282	su162411282	PROPN
brj-24472	453	6	peer	peer	NOUN
brj-24472	453	7	-	-	PUNCT
brj-24472	453	8	reviewed	review	VERB
brj-24472	453	9	article	article	NOUN
brj-24472	453	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	453	11	huang	huang	PROPN
brj-24472	453	12	et	et	PROPN
brj-24472	453	13	al	al	PROPN
brj-24472	453	14	.	.	PROPN
brj-24472	453	15	(	(	PUNCT
brj-24472	453	16	2025	2025	NUM
brj-24472	453	17	)	)	PUNCT
brj-24472	453	18	.	.	PUNCT
brj-24472	454	1	“	"	PUNCT
brj-24472	454	2	bamboo	bamboo	NOUN
brj-24472	454	3	furniture	furniture	NOUN
brj-24472	454	4	design	design	NOUN
brj-24472	454	5	,	,	PUNCT
brj-24472	454	6	”	"	PUNCT
brj-24472	454	7	bioresources	bioresource	NOUN
brj-24472	454	8	20(3	20(3	NOUN
brj-24472	454	9	)	)	PUNCT
brj-24472	454	10	,	,	PUNCT
brj-24472	454	11	7107	7107	NUM
brj-24472	454	12	-	-	SYM
brj-24472	454	13	7133	7133	NUM
brj-24472	454	14	.	.	PUNCT
brj-24472	455	1	7131	7131	NUM
brj-24472	455	2	fu	fu	PROPN
brj-24472	455	3	,	,	PUNCT
brj-24472	455	4	b.	b.	PROPN
brj-24472	455	5	,	,	PUNCT
brj-24472	455	6	guo	guo	PROPN
brj-24472	455	7	,	,	PUNCT
brj-24472	455	8	z.	z.	PROPN
brj-24472	455	9	,	,	PUNCT
brj-24472	455	10	yan	yan	PROPN
brj-24472	455	11	,	,	PUNCT
brj-24472	455	12	j.	j.	PROPN
brj-24472	455	13	,	,	PUNCT
brj-24472	455	14	sun	sun	PROPN
brj-24472	455	15	,	,	PUNCT
brj-24472	455	16	l.	l.	PROPN
brj-24472	455	17	,	,	PUNCT
brj-24472	455	18	zhang	zhang	PROPN
brj-24472	455	19	,	,	PUNCT
brj-24472	455	20	s.	s.	PROPN
brj-24472	455	21	,	,	PUNCT
brj-24472	455	22	and	and	CCONJ
brj-24472	455	23	nie	nie	PROPN
brj-24472	455	24	,	,	PUNCT
brj-24472	455	25	l.	l.	PROPN
brj-24472	455	26	(	(	PUNCT
brj-24472	455	27	2023	2023	NUM
brj-24472	455	28	)	)	PUNCT
brj-24472	455	29	.	.	PUNCT
brj-24472	456	1	“	"	PUNCT
brj-24472	456	2	research	research	NOUN
brj-24472	456	3	on	on	ADP
brj-24472	456	4	the	the	DET
brj-24472	456	5	heat	heat	NOUN
brj-24472	456	6	extraction	extraction	NOUN
brj-24472	456	7	performance	performance	NOUN
brj-24472	456	8	optimization	optimization	NOUN
brj-24472	456	9	of	of	ADP
brj-24472	456	10	spiral	spiral	ADJ
brj-24472	456	11	fin	fin	NOUN
brj-24472	456	12	coaxial	coaxial	ADJ
brj-24472	456	13	borehole	borehole	NOUN
brj-24472	456	14	heat	heat	NOUN
brj-24472	456	15	exchanger	exchanger	NOUN
brj-24472	456	16	based	base	VERB
brj-24472	456	17	on	on	ADP
brj-24472	456	18	ga	ga	PROPN
brj-24472	456	19	–	–	PUNCT
brj-24472	456	20	bpnn	bpnn	NOUN
brj-24472	456	21	–	–	PUNCT
brj-24472	456	22	qlmpa	qlmpa	NOUN
brj-24472	456	23	,	,	PUNCT
brj-24472	456	24	”	"	PUNCT
brj-24472	456	25	processes	process	NOUN
brj-24472	456	26	11(10	11(10	NUM
brj-24472	456	27	)	)	PUNCT
brj-24472	456	28	,	,	PUNCT
brj-24472	456	29	2989	2989	NUM
brj-24472	456	30	.	.	PUNCT
brj-24472	457	1	doi	doi	NOUN
brj-24472	457	2	:	:	PUNCT
brj-24472	457	3	10.3390	10.3390	NUM
brj-24472	457	4	/	/	SYM
brj-24472	457	5	pr11102989	pr11102989	PROPN
brj-24472	457	6	fu	fu	PROPN
brj-24472	457	7	,	,	PUNCT
brj-24472	457	8	l.	l.	PROPN
brj-24472	457	9	,	,	PUNCT
brj-24472	457	10	lei	lei	PROPN
brj-24472	457	11	,	,	PUNCT
brj-24472	457	12	y.	y.	PROPN
brj-24472	457	13	,	,	PUNCT
brj-24472	457	14	zhu	zhu	PROPN
brj-24472	457	15	,	,	PUNCT
brj-24472	457	16	l.	l.	PROPN
brj-24472	457	17	,	,	PUNCT
brj-24472	457	18	yan	yan	PROPN
brj-24472	457	19	,	,	PUNCT
brj-24472	457	20	y.	y.	PROPN
brj-24472	457	21	,	,	PUNCT
brj-24472	457	22	and	and	CCONJ
brj-24472	457	23	lv	lv	PROPN
brj-24472	457	24	,	,	PUNCT
brj-24472	457	25	j.	j.	PROPN
brj-24472	457	26	(	(	PUNCT
brj-24472	457	27	2024	2024	NUM
brj-24472	457	28	)	)	PUNCT
brj-24472	457	29	.	.	PUNCT
brj-24472	458	1	“	"	PUNCT
brj-24472	458	2	integrating	integrate	VERB
brj-24472	458	3	kansei	kansei	ADJ
brj-24472	458	4	engineering	engineering	NOUN
brj-24472	458	5	with	with	ADP
brj-24472	458	6	hesitant	hesitant	ADJ
brj-24472	458	7	fuzzy	fuzzy	ADJ
brj-24472	458	8	quality	quality	NOUN
brj-24472	458	9	function	function	NOUN
brj-24472	458	10	deployment	deployment	NOUN
brj-24472	458	11	for	for	ADP
brj-24472	458	12	rosewood	rosewood	NOUN
brj-24472	458	13	furniture	furniture	NOUN
brj-24472	458	14	design	design	NOUN
brj-24472	458	15	,	,	PUNCT
brj-24472	458	16	”	"	PUNCT
brj-24472	458	17	bioresources	bioresource	NOUN
brj-24472	458	18	19(3	19(3	NUM
brj-24472	458	19	)	)	PUNCT
brj-24472	458	20	,	,	PUNCT
brj-24472	458	21	6403	6403	NUM
brj-24472	458	22	-	-	SYM
brj-24472	458	23	6426	6426	NUM
brj-24472	458	24	.	.	PUNCT
brj-24472	459	1	doi	doi	NOUN
brj-24472	459	2	:	:	PUNCT
brj-24472	459	3	10.15376	10.15376	NUM
brj-24472	459	4	/	/	SYM
brj-24472	459	5	biores.19.3.6403	biores.19.3.6403	NOUN
brj-24472	459	6	-	-	PUNCT
brj-24472	459	7	6426	6426	NUM
brj-24472	459	8	ge	ge	PROPN
brj-24472	459	9	,	,	PUNCT
brj-24472	459	10	b.	b.	PROPN
brj-24472	459	11	,	,	PUNCT
brj-24472	459	12	shaari	shaari	PROPN
brj-24472	459	13	,	,	PUNCT
brj-24472	459	14	n.	n.	NOUN
brj-24472	459	15	,	,	PUNCT
brj-24472	459	16	yunos	yuno	NOUN
brj-24472	459	17	,	,	PUNCT
brj-24472	459	18	m.	m.	NOUN
brj-24472	459	19	y.	y.	PROPN
brj-24472	459	20	m.	m.	PROPN
brj-24472	459	21	,	,	PUNCT
brj-24472	459	22	and	and	CCONJ
brj-24472	459	23	abidin	abidin	PROPN
brj-24472	459	24	,	,	PUNCT
brj-24472	459	25	s.	s.	PROPN
brj-24472	459	26	z.	z.	PROPN
brj-24472	459	27	(	(	PUNCT
brj-24472	459	28	2023	2023	NUM
brj-24472	459	29	)	)	PUNCT
brj-24472	459	30	.	.	PUNCT
brj-24472	460	1	“	"	PUNCT
brj-24472	460	2	group	group	NOUN
brj-24472	460	3	consumers	consumer	NOUN
brj-24472	460	4	'	'	PART
brj-24472	460	5	preference	preference	NOUN
brj-24472	460	6	recommendation	recommendation	NOUN
brj-24472	460	7	algorithm	algorithm	NOUN
brj-24472	460	8	model	model	NOUN
brj-24472	460	9	for	for	ADP
brj-24472	460	10	online	online	ADJ
brj-24472	460	11	apparel	apparel	NOUN
brj-24472	460	12	's	's	PART
brj-24472	460	13	colour	colour	NOUN
brj-24472	460	14	based	base	VERB
brj-24472	460	15	on	on	ADP
brj-24472	460	16	kansei	kansei	ADJ
brj-24472	460	17	engineering	engineering	NOUN
brj-24472	460	18	,	,	PUNCT
brj-24472	460	19	”	"	PUNCT
brj-24472	460	20	industria	industria	NOUN
brj-24472	460	21	textila	textila	NOUN
brj-24472	460	22	74(1	74(1	NOUN
brj-24472	460	23	)	)	PUNCT
brj-24472	460	24	,	,	PUNCT
brj-24472	460	25	81	81	NUM
brj-24472	460	26	-	-	SYM
brj-24472	460	27	89	89	NUM
brj-24472	460	28	.	.	PUNCT
brj-24472	461	1	doi	doi	NOUN
brj-24472	461	2	:	:	PUNCT
brj-24472	461	3	10.35530	10.35530	NUM
brj-24472	461	4	/	/	SYM
brj-24472	461	5	it.074.01.202268	it.074.01.202268	NOUN
brj-24472	461	6	ginting	ginte	VERB
brj-24472	461	7	,	,	PUNCT
brj-24472	461	8	r.	r.	PROPN
brj-24472	461	9	,	,	PUNCT
brj-24472	461	10	ishak	ishak	PROPN
brj-24472	461	11	,	,	PUNCT
brj-24472	461	12	a.	a.	PROPN
brj-24472	461	13	,	,	PUNCT
brj-24472	461	14	malik	malik	PROPN
brj-24472	461	15	,	,	PUNCT
brj-24472	461	16	a.	a.	PROPN
brj-24472	461	17	f.	f.	PROPN
brj-24472	461	18	,	,	PUNCT
brj-24472	461	19	and	and	CCONJ
brj-24472	461	20	satrio	satrio	PROPN
brj-24472	461	21	,	,	PUNCT
brj-24472	461	22	m.	m.	PROPN
brj-24472	461	23	r.	r.	PROPN
brj-24472	461	24	(	(	PUNCT
brj-24472	461	25	2020	2020	NUM
brj-24472	461	26	)	)	PUNCT
brj-24472	461	27	.	.	PUNCT
brj-24472	462	1	“	"	PUNCT
brj-24472	462	2	integration	integration	NOUN
brj-24472	462	3	of	of	ADP
brj-24472	462	4	kansei	kansei	ADJ
brj-24472	462	5	engineering	engineering	NOUN
brj-24472	462	6	and	and	CCONJ
brj-24472	462	7	quality	quality	NOUN
brj-24472	462	8	function	function	NOUN
brj-24472	462	9	deployment	deployment	NOUN
brj-24472	462	10	(	(	PUNCT
brj-24472	462	11	qfd	qfd	NOUN
brj-24472	462	12	)	)	PUNCT
brj-24472	462	13	for	for	ADP
brj-24472	462	14	product	product	NOUN
brj-24472	462	15	development	development	NOUN
brj-24472	462	16	:	:	PUNCT
brj-24472	462	17	a	a	DET
brj-24472	462	18	literature	literature	NOUN
brj-24472	462	19	review	review	NOUN
brj-24472	462	20	,	,	PUNCT
brj-24472	462	21	”	"	PUNCT
brj-24472	462	22	in	in	ADP
brj-24472	462	23	:	:	PUNCT
brj-24472	462	24	2nd	2nd	ADJ
brj-24472	462	25	international	international	ADJ
brj-24472	462	26	conference	conference	NOUN
brj-24472	462	27	on	on	ADP
brj-24472	462	28	industrial	industrial	ADJ
brj-24472	462	29	and	and	CCONJ
brj-24472	462	30	manufacturing	manufacturing	NOUN
brj-24472	462	31	engineering	engineering	NOUN
brj-24472	462	32	(	(	PUNCT
brj-24472	462	33	ici&me	ici&me	NOUN
brj-24472	462	34	2020	2020	NUM
brj-24472	462	35	)	)	PUNCT
brj-24472	462	36	,	,	PUNCT
brj-24472	462	37	medan	medan	PROPN
brj-24472	462	38	,	,	PUNCT
brj-24472	462	39	indonesia	indonesia	PROPN
brj-24472	462	40	.	.	PUNCT
brj-24472	463	1	doi	doi	PROPN
brj-24472	463	2	:	:	PUNCT
brj-24472	463	3	10.1088/1757899x/1003/1/012020	10.1088/1757899x/1003/1/012020	NUM
brj-24472	463	4	hartono	hartono	NOUN
brj-24472	463	5	,	,	PUNCT
brj-24472	463	6	m.	m.	NOUN
brj-24472	463	7	,	,	PUNCT
brj-24472	463	8	prayogo	prayogo	NOUN
brj-24472	463	9	,	,	PUNCT
brj-24472	463	10	d.	d.	PROPN
brj-24472	463	11	n.	n.	PROPN
brj-24472	463	12	,	,	PUNCT
brj-24472	463	13	ronyastra	ronyastra	PROPN
brj-24472	463	14	,	,	PUNCT
brj-24472	463	15	i.	i.	NOUN
brj-24472	463	16	m.	m.	NOUN
brj-24472	463	17	,	,	PUNCT
brj-24472	463	18	and	and	CCONJ
brj-24472	463	19	baredwan	baredwan	NOUN
brj-24472	463	20	,	,	PUNCT
brj-24472	463	21	a.	a.	NOUN
brj-24472	463	22	(	(	PUNCT
brj-24472	463	23	2024	2024	NUM
brj-24472	463	24	)	)	PUNCT
brj-24472	463	25	.	.	PUNCT
brj-24472	464	1	“	"	PUNCT
brj-24472	464	2	kansei	kansei	VERB
brj-24472	464	3	engineering	engineering	NOUN
brj-24472	464	4	with	with	ADP
brj-24472	464	5	online	online	ADJ
brj-24472	464	6	review	review	NOUN
brj-24472	464	7	mining	mining	NOUN
brj-24472	464	8	methodology	methodology	NOUN
brj-24472	464	9	for	for	ADP
brj-24472	464	10	robust	robust	ADJ
brj-24472	464	11	service	service	NOUN
brj-24472	464	12	design	design	NOUN
brj-24472	464	13	,	,	PUNCT
brj-24472	464	14	”	"	PUNCT
brj-24472	464	15	theoretical	theoretical	ADJ
brj-24472	464	16	issues	issue	NOUN
brj-24472	464	17	in	in	ADP
brj-24472	464	18	ergonomics	ergonomic	NOUN
brj-24472	464	19	science	science	NOUN
brj-24472	464	20	25(4	25(4	NOUN
brj-24472	464	21	)	)	PUNCT
brj-24472	464	22	,	,	PUNCT
brj-24472	464	23	495	495	NUM
brj-24472	464	24	-	-	SYM
brj-24472	464	25	520	520	NUM
brj-24472	464	26	.	.	PUNCT
brj-24472	464	27	doi	doi	NOUN
brj-24472	464	28	:	:	PUNCT
brj-24472	464	29	10.1080/1463922x.2023.2261995	10.1080/1463922x.2023.2261995	PROPN
brj-24472	464	30	hu	hu	PROPN
brj-24472	464	31	,	,	PUNCT
brj-24472	464	32	p.	p.	PROPN
brj-24472	464	33	,	,	PUNCT
brj-24472	464	34	lu	lu	PROPN
brj-24472	464	35	,	,	PUNCT
brj-24472	464	36	y.	y.	PROPN
brj-24472	464	37	,	,	PUNCT
brj-24472	464	38	and	and	CCONJ
brj-24472	464	39	wang	wang	PROPN
brj-24472	464	40	,	,	PUNCT
brj-24472	464	41	b.	b.	PROPN
brj-24472	464	42	(	(	PUNCT
brj-24472	464	43	2022	2022	NUM
brj-24472	464	44	)	)	PUNCT
brj-24472	464	45	.	.	PUNCT
brj-24472	465	1	“	"	PUNCT
brj-24472	465	2	experiencing	experience	VERB
brj-24472	465	3	power	power	NOUN
brj-24472	465	4	over	over	ADP
brj-24472	465	5	ai	ai	NOUN
brj-24472	465	6	:	:	PUNCT
brj-24472	465	7	the	the	DET
brj-24472	465	8	fit	fit	ADJ
brj-24472	465	9	effect	effect	NOUN
brj-24472	465	10	of	of	ADP
brj-24472	465	11	perceived	perceive	VERB
brj-24472	465	12	power	power	NOUN
brj-24472	465	13	and	and	CCONJ
brj-24472	465	14	desire	desire	NOUN
brj-24472	465	15	for	for	ADP
brj-24472	465	16	power	power	NOUN
brj-24472	465	17	on	on	ADP
brj-24472	465	18	consumers	consumer	NOUN
brj-24472	465	19	'	'	PART
brj-24472	465	20	choice	choice	NOUN
brj-24472	465	21	for	for	ADP
brj-24472	465	22	voice	voice	NOUN
brj-24472	465	23	shopping	shopping	NOUN
brj-24472	465	24	,	,	PUNCT
brj-24472	465	25	”	"	PUNCT
brj-24472	465	26	computers	computer	NOUN
brj-24472	465	27	in	in	ADP
brj-24472	465	28	human	human	ADJ
brj-24472	465	29	behavior	behavior	NOUN
brj-24472	465	30	128	128	NUM
brj-24472	465	31	,	,	PUNCT
brj-24472	465	32	107091	107091	NUM
brj-24472	465	33	.	.	PUNCT
brj-24472	466	1	doi	doi	NOUN
brj-24472	466	2	:	:	PUNCT
brj-24472	466	3	10.1016	10.1016	NUM
brj-24472	466	4	/	/	SYM
brj-24472	466	5	j.chb.2021.107091	j.chb.2021.107091	PROPN
brj-24472	466	6	jiang	jiang	PROPN
brj-24472	466	7	,	,	PUNCT
brj-24472	466	8	z.	z.	PROPN
brj-24472	466	9	,	,	PUNCT
brj-24472	466	10	gan	gan	PROPN
brj-24472	466	11	,	,	PUNCT
brj-24472	466	12	j.	j.	PROPN
brj-24472	466	13	,	,	PUNCT
brj-24472	466	14	hong	hong	PROPN
brj-24472	466	15	,	,	PUNCT
brj-24472	466	16	v.	v.	ADJ
brj-24472	466	17	,	,	PUNCT
brj-24472	466	18	and	and	CCONJ
brj-24472	466	19	wu	wu	PROPN
brj-24472	466	20	,	,	PUNCT
brj-24472	466	21	b.	b.	PROPN
brj-24472	466	22	(	(	PUNCT
brj-24472	466	23	2024	2024	NUM
brj-24472	466	24	)	)	PUNCT
brj-24472	466	25	.	.	PUNCT
brj-24472	467	1	“	"	PUNCT
brj-24472	467	2	application	application	NOUN
brj-24472	467	3	of	of	ADP
brj-24472	467	4	kansei	kansei	ADJ
brj-24472	467	5	engineering	engineering	NOUN
brj-24472	467	6	in	in	ADP
brj-24472	467	7	the	the	DET
brj-24472	467	8	innovative	innovative	ADJ
brj-24472	467	9	design	design	NOUN
brj-24472	467	10	of	of	ADP
brj-24472	467	11	traditional	traditional	ADJ
brj-24472	467	12	fashion	fashion	NOUN
brj-24472	467	13	elements	element	NOUN
brj-24472	467	14	,	,	PUNCT
brj-24472	467	15	”	"	PUNCT
brj-24472	467	16	industria	industria	ADJ
brj-24472	467	17	textila	textila	NOUN
brj-24472	467	18	75(3	75(3	NUM
brj-24472	467	19	)	)	PUNCT
brj-24472	467	20	,	,	PUNCT
brj-24472	467	21	289301	289301	NUM
brj-24472	467	22	.	.	PUNCT
brj-24472	468	1	doi	doi	NOUN
brj-24472	468	2	:	:	PUNCT
brj-24472	468	3	10.35530	10.35530	NUM
brj-24472	468	4	/	/	SYM
brj-24472	468	5	it.075.03.202370	it.075.03.202370	NOUN
brj-24472	468	6	kang	kang	PROPN
brj-24472	468	7	,	,	PUNCT
brj-24472	468	8	x.	x.	NOUN
brj-24472	468	9	(	(	PUNCT
brj-24472	468	10	2021	2021	NUM
brj-24472	468	11	)	)	PUNCT
brj-24472	468	12	.	.	PUNCT
brj-24472	469	1	“	"	PUNCT
brj-24472	469	2	combining	combine	VERB
brj-24472	469	3	rough	rough	ADJ
brj-24472	469	4	set	set	NOUN
brj-24472	469	5	theory	theory	NOUN
brj-24472	469	6	and	and	CCONJ
brj-24472	469	7	support	support	NOUN
brj-24472	469	8	vector	vector	NOUN
brj-24472	469	9	regression	regression	NOUN
brj-24472	469	10	to	to	ADP
brj-24472	469	11	the	the	DET
brj-24472	469	12	sustainable	sustainable	ADJ
brj-24472	469	13	form	form	NOUN
brj-24472	469	14	design	design	NOUN
brj-24472	469	15	of	of	ADP
brj-24472	469	16	hybrid	hybrid	ADJ
brj-24472	469	17	electric	electric	ADJ
brj-24472	469	18	vehicle	vehicle	NOUN
brj-24472	469	19	,	,	PUNCT
brj-24472	469	20	”	"	PUNCT
brj-24472	469	21	journal	journal	NOUN
brj-24472	469	22	of	of	ADP
brj-24472	469	23	cleaner	clean	ADJ
brj-24472	469	24	production	production	NOUN
brj-24472	469	25	304	304	NUM
brj-24472	469	26	,	,	PUNCT
brj-24472	469	27	127137	127137	NUM
brj-24472	469	28	.	.	PUNCT
brj-24472	470	1	doi	doi	NOUN
brj-24472	470	2	:	:	PUNCT
brj-24472	470	3	10.1016	10.1016	NUM
brj-24472	470	4	/	/	SYM
brj-24472	470	5	j.jclepro.2021.127137	j.jclepro.2021.127137	PROPN
brj-24472	470	6	kang	kang	PROPN
brj-24472	470	7	,	,	PUNCT
brj-24472	470	8	x.	x.	NOUN
brj-24472	470	9	(	(	PUNCT
brj-24472	470	10	2024	2024	NUM
brj-24472	470	11	)	)	PUNCT
brj-24472	470	12	.	.	PUNCT
brj-24472	471	1	“	"	PUNCT
brj-24472	471	2	biologically	biologically	ADV
brj-24472	471	3	inspired	inspire	VERB
brj-24472	471	4	product	product	NOUN
brj-24472	471	5	design	design	NOUN
brj-24472	471	6	combining	combine	VERB
brj-24472	471	7	kansei	kansei	ADJ
brj-24472	471	8	engineering	engineering	NOUN
brj-24472	471	9	and	and	CCONJ
brj-24472	471	10	association	association	NOUN
brj-24472	471	11	creative	creative	ADJ
brj-24472	471	12	thinking	thinking	NOUN
brj-24472	471	13	method	method	NOUN
brj-24472	471	14	,	,	PUNCT
brj-24472	471	15	”	"	PUNCT
brj-24472	471	16	advanced	advanced	ADJ
brj-24472	471	17	engineering	engineering	NOUN
brj-24472	471	18	informatics	informatic	NOUN
brj-24472	471	19	62	62	NUM
brj-24472	471	20	,	,	PUNCT
brj-24472	471	21	102615	102615	NUM
brj-24472	471	22	.	.	PUNCT
brj-24472	472	1	doi	doi	NOUN
brj-24472	472	2	:	:	PUNCT
brj-24472	472	3	10.1016	10.1016	NUM
brj-24472	472	4	/	/	SYM
brj-24472	472	5	j.aei.2024.102615	j.aei.2024.102615	PROPN
brj-24472	472	6	li	li	PROPN
brj-24472	472	7	,	,	PUNCT
brj-24472	472	8	s.	s.	PROPN
brj-24472	472	9	(	(	PUNCT
brj-24472	472	10	2024	2024	NUM
brj-24472	472	11	)	)	PUNCT
brj-24472	472	12	.	.	PUNCT
brj-24472	473	1	“	"	PUNCT
brj-24472	473	2	integrating	integrate	VERB
brj-24472	473	3	rough	rough	ADJ
brj-24472	473	4	set	set	NOUN
brj-24472	473	5	theory	theory	NOUN
brj-24472	473	6	and	and	CCONJ
brj-24472	473	7	fuzzy	fuzzy	ADJ
brj-24472	473	8	association	association	NOUN
brj-24472	473	9	rule	rule	NOUN
brj-24472	473	10	mining	mining	NOUN
brj-24472	473	11	for	for	ADP
brj-24472	473	12	product	product	NOUN
brj-24472	473	13	kansei	kansei	VERB
brj-24472	473	14	knowledge	knowledge	NOUN
brj-24472	473	15	analysis	analysis	NOUN
brj-24472	473	16	,	,	PUNCT
brj-24472	473	17	”	"	PUNCT
brj-24472	473	18	journal	journal	NOUN
brj-24472	473	19	of	of	ADP
brj-24472	473	20	advanced	advanced	ADJ
brj-24472	473	21	mechanical	mechanical	ADJ
brj-24472	473	22	design	design	NOUN
brj-24472	473	23	,	,	PUNCT
brj-24472	473	24	systems	system	NOUN
brj-24472	473	25	,	,	PUNCT
brj-24472	473	26	and	and	CCONJ
brj-24472	473	27	manufacturing	manufacturing	NOUN
brj-24472	473	28	18(6	18(6	NOUN
brj-24472	473	29	)	)	PUNCT
brj-24472	473	30	,	,	PUNCT
brj-24472	473	31	jamdsm0081	jamdsm0081	PROPN
brj-24472	473	32	-	-	PUNCT
brj-24472	473	33	jamdsm0081	jamdsm0081	PROPN
brj-24472	473	34	.	.	PUNCT
brj-24472	474	1	doi	doi	NOUN
brj-24472	474	2	:	:	PUNCT
brj-24472	474	3	10.1299	10.1299	NUM
brj-24472	474	4	/	/	SYM
brj-24472	474	5	jamdsm.2024jamdsm0081	jamdsm.2024jamdsm0081	PROPN
brj-24472	474	6	li	li	PROPN
brj-24472	474	7	,	,	PUNCT
brj-24472	474	8	x.	x.	NOUN
brj-24472	474	9	,	,	PUNCT
brj-24472	474	10	and	and	CCONJ
brj-24472	474	11	li	li	PROPN
brj-24472	474	12	,	,	PUNCT
brj-24472	474	13	h.	h.	PROPN
brj-24472	474	14	(	(	PUNCT
brj-24472	474	15	2024	2024	NUM
brj-24472	474	16	)	)	PUNCT
brj-24472	474	17	.	.	PUNCT
brj-24472	475	1	“	"	PUNCT
brj-24472	475	2	age	age	NOUN
brj-24472	475	3	-	-	PUNCT
brj-24472	475	4	appropriate	appropriate	ADJ
brj-24472	475	5	design	design	NOUN
brj-24472	475	6	of	of	ADP
brj-24472	475	7	domestic	domestic	ADJ
brj-24472	475	8	intelligent	intelligent	ADJ
brj-24472	475	9	medical	medical	ADJ
brj-24472	475	10	products	product	NOUN
brj-24472	475	11	:	:	PUNCT
brj-24472	475	12	an	an	DET
brj-24472	475	13	example	example	NOUN
brj-24472	475	14	of	of	ADP
brj-24472	475	15	smart	smart	ADJ
brj-24472	475	16	blood	blood	NOUN
brj-24472	475	17	glucose	glucose	NOUN
brj-24472	475	18	detector	detector	NOUN
brj-24472	475	19	for	for	ADP
brj-24472	475	20	the	the	DET
brj-24472	475	21	elderly	elderly	ADJ
brj-24472	475	22	with	with	ADP
brj-24472	475	23	ahp	ahp	NOUN
brj-24472	475	24	-	-	PUNCT
brj-24472	475	25	qfd	qfd	NOUN
brj-24472	475	26	joint	joint	ADJ
brj-24472	475	27	ke	ke	NOUN
brj-24472	475	28	,	,	PUNCT
brj-24472	475	29	”	"	PUNCT
brj-24472	475	30	heliyon	heliyon	NOUN
brj-24472	475	31	10(5	10(5	NUM
brj-24472	475	32	)	)	PUNCT
brj-24472	475	33	.	.	PUNCT
brj-24472	476	1	doi	doi	NOUN
brj-24472	476	2	:	:	PUNCT
brj-24472	476	3	10.1016	10.1016	NUM
brj-24472	476	4	/	/	SYM
brj-24472	476	5	j.heliyon.2024.e27387	j.heliyon.2024.e27387	PROPN
brj-24472	476	6	lian	lian	PROPN
brj-24472	476	7	,	,	PUNCT
brj-24472	476	8	w.	w.	PROPN
brj-24472	476	9	,	,	PUNCT
brj-24472	476	10	wang	wang	PROPN
brj-24472	476	11	,	,	PUNCT
brj-24472	476	12	k.-c	k.-c	PROPN
brj-24472	476	13	.	.	PUNCT
brj-24472	476	14	,	,	PUNCT
brj-24472	476	15	li	li	PROPN
brj-24472	476	16	,	,	PUNCT
brj-24472	476	17	y.	y.	PROPN
brj-24472	476	18	,	,	PUNCT
brj-24472	476	19	chen	chen	PROPN
brj-24472	476	20	,	,	PUNCT
brj-24472	476	21	h.-y	h.-y	NOUN
brj-24472	476	22	.	.	PUNCT
brj-24472	476	23	,	,	PUNCT
brj-24472	476	24	and	and	CCONJ
brj-24472	476	25	yang	yang	PROPN
brj-24472	476	26	,	,	PUNCT
brj-24472	476	27	c.-h	c.-h	PROPN
brj-24472	476	28	.	.	PUNCT
brj-24472	477	1	(	(	PUNCT
brj-24472	477	2	2022	2022	NUM
brj-24472	477	3	)	)	PUNCT
brj-24472	477	4	.	.	PUNCT
brj-24472	478	1	“	"	PUNCT
brj-24472	478	2	affective‐blue	affective‐blue	NOUN
brj-24472	478	3	design	design	NOUN
brj-24472	478	4	methodology	methodology	NOUN
brj-24472	478	5	for	for	ADP
brj-24472	478	6	product	product	NOUN
brj-24472	478	7	design	design	NOUN
brj-24472	478	8	based	base	VERB
brj-24472	478	9	on	on	ADP
brj-24472	478	10	integral	integral	ADJ
brj-24472	478	11	kansei	kansei	ADJ
brj-24472	478	12	engineering	engineering	NOUN
brj-24472	478	13	,	,	PUNCT
brj-24472	478	14	”	"	PUNCT
brj-24472	478	15	mathematical	mathematical	ADJ
brj-24472	478	16	problems	problem	NOUN
brj-24472	478	17	in	in	ADP
brj-24472	478	18	engineering	engineering	NOUN
brj-24472	478	19	2022(1	2022(1	NUM
brj-24472	478	20	)	)	PUNCT
brj-24472	478	21	,	,	PUNCT
brj-24472	478	22	5019588	5019588	NUM
brj-24472	478	23	.	.	PUNCT
brj-24472	479	1	doi	doi	NOUN
brj-24472	479	2	:	:	PUNCT
brj-24472	479	3	1155.2022/5019588/1	1155.2022/5019588/1	PROPN
brj-24472	479	4	liang	liang	PROPN
brj-24472	479	5	,	,	PUNCT
brj-24472	479	6	y.	y.	PROPN
brj-24472	479	7	,	,	PUNCT
brj-24472	479	8	jiang	jiang	PROPN
brj-24472	479	9	,	,	PUNCT
brj-24472	479	10	k.	k.	PROPN
brj-24472	479	11	,	,	PUNCT
brj-24472	479	12	gao	gao	PROPN
brj-24472	479	13	,	,	PUNCT
brj-24472	479	14	s.	s.	PROPN
brj-24472	479	15	,	,	PUNCT
brj-24472	479	16	and	and	CCONJ
brj-24472	479	17	yin	yin	PROPN
brj-24472	479	18	,	,	PUNCT
brj-24472	479	19	y.	y.	PROPN
brj-24472	479	20	(	(	PUNCT
brj-24472	479	21	2022	2022	NUM
brj-24472	479	22	)	)	PUNCT
brj-24472	479	23	.	.	PUNCT
brj-24472	480	1	“	"	PUNCT
brj-24472	480	2	prediction	prediction	NOUN
brj-24472	480	3	of	of	ADP
brj-24472	480	4	tunnelling	tunnel	VERB
brj-24472	480	5	parameters	parameter	NOUN
brj-24472	480	6	for	for	ADP
brj-24472	480	7	underwater	underwater	ADJ
brj-24472	480	8	shield	shield	NOUN
brj-24472	480	9	tunnels	tunnel	NOUN
brj-24472	480	10	,	,	PUNCT
brj-24472	480	11	based	base	VERB
brj-24472	480	12	on	on	ADP
brj-24472	480	13	the	the	DET
brj-24472	480	14	ga	ga	PROPN
brj-24472	480	15	-	-	PUNCT
brj-24472	480	16	bpnn	bpnn	NOUN
brj-24472	480	17	method	method	NOUN
brj-24472	480	18	,	,	PUNCT
brj-24472	480	19	”	"	PUNCT
brj-24472	480	20	sustainability	sustainability	NOUN
brj-24472	480	21	14(20	14(20	NUM
brj-24472	480	22	)	)	PUNCT
brj-24472	480	23	,	,	PUNCT
brj-24472	480	24	13420	13420	NUM
brj-24472	480	25	.	.	PUNCT
brj-24472	481	1	doi	doi	NOUN
brj-24472	481	2	:	:	PUNCT
brj-24472	481	3	10.3390	10.3390	NUM
brj-24472	481	4	/	/	SYM
brj-24472	481	5	su142013420	su142013420	PROPN
brj-24472	481	6	lin	lin	PROPN
brj-24472	481	7	,	,	PUNCT
brj-24472	481	8	j.-l	j.-l	PROPN
brj-24472	481	9	.	.	PUNCT
brj-24472	481	10	,	,	PUNCT
brj-24472	481	11	and	and	CCONJ
brj-24472	481	12	zheng	zheng	PROPN
brj-24472	481	13	,	,	PUNCT
brj-24472	481	14	m.-c	m.-c	NOUN
brj-24472	481	15	.	.	PUNCT
brj-24472	482	1	(	(	PUNCT
brj-24472	482	2	2024	2024	NUM
brj-24472	482	3	)	)	PUNCT
brj-24472	482	4	.	.	PUNCT
brj-24472	483	1	“	"	PUNCT
brj-24472	483	2	an	an	DET
brj-24472	483	3	empirical	empirical	ADJ
brj-24472	483	4	investigation	investigation	NOUN
brj-24472	483	5	on	on	ADP
brj-24472	483	6	the	the	DET
brj-24472	483	7	visual	visual	ADJ
brj-24472	483	8	imagery	imagery	NOUN
brj-24472	483	9	of	of	ADP
brj-24472	483	10	augmented	augment	VERB
brj-24472	483	11	reality	reality	NOUN
brj-24472	483	12	user	user	NOUN
brj-24472	483	13	interfaces	interface	NOUN
brj-24472	483	14	for	for	ADP
brj-24472	483	15	smart	smart	ADJ
brj-24472	483	16	electric	electric	ADJ
brj-24472	483	17	vehicles	vehicle	NOUN
brj-24472	483	18	based	base	VERB
brj-24472	483	19	on	on	ADP
brj-24472	483	20	kansei	kansei	ADJ
brj-24472	483	21	engineering	engineering	NOUN
brj-24472	483	22	and	and	CCONJ
brj-24472	483	23	fahp	fahp	PROPN
brj-24472	483	24	-	-	PUNCT
brj-24472	483	25	gra	gra	PROPN
brj-24472	483	26	,	,	PUNCT
brj-24472	483	27	”	"	PUNCT
brj-24472	483	28	mathematics	mathematic	NOUN
brj-24472	483	29	12(17	12(17	NUM
brj-24472	483	30	)	)	PUNCT
brj-24472	483	31	,	,	PUNCT
brj-24472	483	32	2712	2712	NUM
brj-24472	483	33	.	.	PUNCT
brj-24472	484	1	doi	doi	NOUN
brj-24472	484	2	:	:	PUNCT
brj-24472	484	3	10.3390	10.3390	NUM
brj-24472	484	4	/	/	SYM
brj-24472	484	5	math12172712	math12172712	PROPN
brj-24472	484	6	peer	peer	NOUN
brj-24472	484	7	-	-	PUNCT
brj-24472	484	8	reviewed	review	VERB
brj-24472	484	9	article	article	NOUN
brj-24472	484	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	484	11	huang	huang	PROPN
brj-24472	484	12	et	et	PROPN
brj-24472	484	13	al	al	PROPN
brj-24472	484	14	.	.	PROPN
brj-24472	484	15	(	(	PUNCT
brj-24472	484	16	2025	2025	NUM
brj-24472	484	17	)	)	PUNCT
brj-24472	484	18	.	.	PUNCT
brj-24472	485	1	“	"	PUNCT
brj-24472	485	2	bamboo	bamboo	NOUN
brj-24472	485	3	furniture	furniture	NOUN
brj-24472	485	4	design	design	NOUN
brj-24472	485	5	,	,	PUNCT
brj-24472	485	6	”	"	PUNCT
brj-24472	485	7	bioresources	bioresource	NOUN
brj-24472	485	8	20(3	20(3	NOUN
brj-24472	485	9	)	)	PUNCT
brj-24472	485	10	,	,	PUNCT
brj-24472	485	11	7107	7107	NUM
brj-24472	485	12	-	-	SYM
brj-24472	485	13	7133	7133	NUM
brj-24472	485	14	.	.	PUNCT
brj-24472	486	1	7132	7132	NUM
brj-24472	486	2	lin	lin	PROPN
brj-24472	486	3	,	,	PUNCT
brj-24472	486	4	z.-h	z.-h	PROPN
brj-24472	486	5	.	.	PUNCT
brj-24472	486	6	,	,	PUNCT
brj-24472	486	7	woo	woo	PROPN
brj-24472	486	8	,	,	PUNCT
brj-24472	486	9	j.-c	j.-c	PROPN
brj-24472	486	10	.	.	PUNCT
brj-24472	486	11	,	,	PUNCT
brj-24472	486	12	luo	luo	PROPN
brj-24472	486	13	,	,	PUNCT
brj-24472	486	14	f.	f.	PROPN
brj-24472	486	15	,	,	PUNCT
brj-24472	486	16	and	and	CCONJ
brj-24472	486	17	pan	pan	NOUN
brj-24472	486	18	,	,	PUNCT
brj-24472	486	19	g.-q	g.-q	PROPN
brj-24472	486	20	.	.	PUNCT
brj-24472	486	21	(	(	PUNCT
brj-24472	486	22	2023	2023	NUM
brj-24472	486	23	)	)	PUNCT
brj-24472	486	24	.	.	PUNCT
brj-24472	487	1	“	"	PUNCT
brj-24472	487	2	multisensory	multisensory	ADJ
brj-24472	487	3	design	design	NOUN
brj-24472	487	4	of	of	ADP
brj-24472	487	5	electric	electric	ADJ
brj-24472	487	6	shavers	shaver	NOUN
brj-24472	487	7	based	base	VERB
brj-24472	487	8	on	on	ADP
brj-24472	487	9	kansei	kansei	ADJ
brj-24472	487	10	engineering	engineering	NOUN
brj-24472	487	11	and	and	CCONJ
brj-24472	487	12	artificial	artificial	ADJ
brj-24472	487	13	neural	neural	ADJ
brj-24472	487	14	networks	network	NOUN
brj-24472	487	15	,	,	PUNCT
brj-24472	487	16	”	"	PUNCT
brj-24472	487	17	mathematical	mathematical	ADJ
brj-24472	487	18	problems	problem	NOUN
brj-24472	487	19	in	in	ADP
brj-24472	487	20	engineering	engineer	VERB
brj-24472	487	21	2023(1	2023(1	PROPN
brj-24472	487	22	)	)	PUNCT
brj-24472	487	23	,	,	PUNCT
brj-24472	487	24	1188537	1188537	NUM
brj-24472	487	25	.	.	PUNCT
brj-24472	488	1	doi	doi	NOUN
brj-24472	488	2	:	:	PUNCT
brj-24472	488	3	10.1155/2023/1188537	10.1155/2023/1188537	NUM
brj-24472	488	4	liu	liu	PROPN
brj-24472	488	5	,	,	PUNCT
brj-24472	488	6	x.	x.	NOUN
brj-24472	488	7	,	,	PUNCT
brj-24472	488	8	and	and	CCONJ
brj-24472	488	9	yang	yang	PROPN
brj-24472	488	10	,	,	PUNCT
brj-24472	488	11	s.	s.	PROPN
brj-24472	488	12	(	(	PUNCT
brj-24472	488	13	2022	2022	NUM
brj-24472	488	14	)	)	PUNCT
brj-24472	488	15	.	.	PUNCT
brj-24472	489	1	“	"	PUNCT
brj-24472	489	2	study	study	VERB
brj-24472	489	3	on	on	ADP
brj-24472	489	4	product	product	NOUN
brj-24472	489	5	form	form	NOUN
brj-24472	489	6	design	design	NOUN
brj-24472	489	7	via	via	ADP
brj-24472	489	8	kansei	kansei	ADJ
brj-24472	489	9	engineering	engineering	NOUN
brj-24472	489	10	and	and	CCONJ
brj-24472	489	11	virtual	virtual	ADJ
brj-24472	489	12	reality	reality	NOUN
brj-24472	489	13	,	,	PUNCT
brj-24472	489	14	”	"	PUNCT
brj-24472	489	15	journal	journal	NOUN
brj-24472	489	16	of	of	ADP
brj-24472	489	17	engineering	engineering	NOUN
brj-24472	489	18	design	design	PROPN
brj-24472	489	19	33(6	33(6	PROPN
brj-24472	489	20	)	)	PUNCT
brj-24472	489	21	,	,	PUNCT
brj-24472	489	22	412	412	NUM
brj-24472	489	23	-	-	SYM
brj-24472	489	24	440	440	NUM
brj-24472	489	25	.	.	PUNCT
brj-24472	490	1	doi	doi	NOUN
brj-24472	490	2	:	:	PUNCT
brj-24472	490	3	10.1080/09544828.2022.2078660	10.1080/09544828.2022.2078660	NUM
brj-24472	490	4	nagamachi	nagamachi	NOUN
brj-24472	490	5	,	,	PUNCT
brj-24472	490	6	m.	m.	NOUN
brj-24472	490	7	(	(	PUNCT
brj-24472	490	8	1995	1995	NUM
brj-24472	490	9	)	)	PUNCT
brj-24472	490	10	.	.	PUNCT
brj-24472	491	1	“	"	PUNCT
brj-24472	491	2	kansei	kansei	ADJ
brj-24472	491	3	engineering	engineering	NOUN
brj-24472	491	4	:	:	PUNCT
brj-24472	491	5	a	a	DET
brj-24472	491	6	new	new	ADJ
brj-24472	491	7	ergonomic	ergonomic	ADJ
brj-24472	491	8	consumer	consumer	NOUN
brj-24472	491	9	-	-	PUNCT
brj-24472	491	10	oriented	orient	VERB
brj-24472	491	11	technology	technology	NOUN
brj-24472	491	12	for	for	ADP
brj-24472	491	13	product	product	NOUN
brj-24472	491	14	development	development	NOUN
brj-24472	491	15	,	,	PUNCT
brj-24472	491	16	”	"	PUNCT
brj-24472	491	17	international	international	ADJ
brj-24472	491	18	journal	journal	NOUN
brj-24472	491	19	of	of	ADP
brj-24472	491	20	industrial	industrial	ADJ
brj-24472	491	21	ergonomics	ergonomic	NOUN
brj-24472	491	22	15(1	15(1	NUM
brj-24472	491	23	)	)	PUNCT
brj-24472	491	24	,	,	PUNCT
brj-24472	491	25	3	3	NUM
brj-24472	491	26	-	-	SYM
brj-24472	491	27	11	11	NUM
brj-24472	491	28	.	.	PUNCT
brj-24472	492	1	doi	doi	NOUN
brj-24472	492	2	:	:	PUNCT
brj-24472	492	3	10.1016/0169	10.1016/0169	NUM
brj-24472	492	4	-	-	PUNCT
brj-24472	492	5	8141(94)00052	8141(94)00052	NUM
brj-24472	492	6	-	-	PUNCT
brj-24472	492	7	5	5	NUM
brj-24472	492	8	pawlak	pawlak	ADJ
brj-24472	492	9	,	,	PUNCT
brj-24472	492	10	z.	z.	PROPN
brj-24472	492	11	(	(	PUNCT
brj-24472	492	12	1998	1998	NUM
brj-24472	492	13	)	)	PUNCT
brj-24472	492	14	.	.	PUNCT
brj-24472	493	1	“	"	PUNCT
brj-24472	493	2	rough	rough	ADJ
brj-24472	493	3	set	set	NOUN
brj-24472	493	4	theory	theory	NOUN
brj-24472	493	5	and	and	CCONJ
brj-24472	493	6	its	its	PRON
brj-24472	493	7	applications	application	NOUN
brj-24472	493	8	to	to	ADP
brj-24472	493	9	data	data	NOUN
brj-24472	493	10	analysis	analysis	NOUN
brj-24472	493	11	,	,	PUNCT
brj-24472	493	12	”	"	PUNCT
brj-24472	493	13	cybernetics	cybernetic	NOUN
brj-24472	493	14	and	and	CCONJ
brj-24472	493	15	systems	system	NOUN
brj-24472	493	16	29(7	29(7	NUM
brj-24472	493	17	)	)	PUNCT
brj-24472	493	18	,	,	PUNCT
brj-24472	493	19	661	661	NUM
brj-24472	493	20	-	-	SYM
brj-24472	493	21	688	688	NUM
brj-24472	493	22	.	.	PUNCT
brj-24472	494	1	doi	doi	NOUN
brj-24472	494	2	:	:	PUNCT
brj-24472	494	3	10.1080/019697298125470	10.1080/019697298125470	NUM
brj-24472	494	4	qi	qi	NOUN
brj-24472	494	5	,	,	PUNCT
brj-24472	494	6	y.	y.	NOUN
brj-24472	494	7	,	,	PUNCT
brj-24472	494	8	and	and	CCONJ
brj-24472	494	9	kim	kim	PROPN
brj-24472	494	10	,	,	PUNCT
brj-24472	494	11	k.	k.	PROPN
brj-24472	494	12	(	(	PUNCT
brj-24472	494	13	2024	2024	NUM
brj-24472	494	14	)	)	PUNCT
brj-24472	494	15	.	.	PUNCT
brj-24472	495	1	“	"	PUNCT
brj-24472	495	2	evaluation	evaluation	NOUN
brj-24472	495	3	of	of	ADP
brj-24472	495	4	electric	electric	ADJ
brj-24472	495	5	car	car	NOUN
brj-24472	495	6	styling	styling	NOUN
brj-24472	495	7	based	base	VERB
brj-24472	495	8	on	on	ADP
brj-24472	495	9	analytic	analytic	ADJ
brj-24472	495	10	hierarchy	hierarchy	NOUN
brj-24472	495	11	process	process	NOUN
brj-24472	495	12	and	and	CCONJ
brj-24472	495	13	kansei	kansei	ADJ
brj-24472	495	14	engineering	engineering	NOUN
brj-24472	495	15	:	:	PUNCT
brj-24472	495	16	a	a	DET
brj-24472	495	17	study	study	NOUN
brj-24472	495	18	on	on	ADP
brj-24472	495	19	mainstream	mainstream	ADJ
brj-24472	495	20	chinese	chinese	PROPN
brj-24472	495	21	electric	electric	ADJ
brj-24472	495	22	car	car	NOUN
brj-24472	495	23	brands	brand	NOUN
brj-24472	495	24	,	,	PUNCT
brj-24472	495	25	”	"	PUNCT
brj-24472	495	26	heliyon	heliyon	NOUN
brj-24472	495	27	10(5	10(5	NUM
brj-24472	495	28	)	)	PUNCT
brj-24472	495	29	.	.	PUNCT
brj-24472	496	1	doi	doi	NOUN
brj-24472	496	2	:	:	PUNCT
brj-24472	496	3	10.1016	10.1016	NUM
brj-24472	496	4	/	/	SYM
brj-24472	496	5	j.heliyon.2024.e26999	j.heliyon.2024.e26999	NOUN
brj-24472	496	6	ramanathan	ramanathan	PROPN
brj-24472	496	7	,	,	PUNCT
brj-24472	496	8	r.	r.	PROPN
brj-24472	496	9	,	,	PUNCT
brj-24472	496	10	abdullah	abdullah	PROPN
brj-24472	496	11	,	,	PUNCT
brj-24472	496	12	l.	l.	PROPN
brj-24472	496	13	,	,	PUNCT
brj-24472	496	14	fauadi	fauadi	NOUN
brj-24472	496	15	,	,	PUNCT
brj-24472	496	16	m.	m.	NOUN
brj-24472	496	17	h.	h.	PROPN
brj-24472	496	18	f.	f.	PROPN
brj-24472	496	19	m.	m.	PROPN
brj-24472	496	20	,	,	PUNCT
brj-24472	496	21	mohamed	mohamed	PROPN
brj-24472	496	22	,	,	PUNCT
brj-24472	496	23	m.	m.	PROPN
brj-24472	496	24	s.	s.	PROPN
brj-24472	496	25	s.	s.	PROPN
brj-24472	496	26	,	,	PUNCT
brj-24472	496	27	and	and	CCONJ
brj-24472	496	28	kamaludin	kamaludin	PROPN
brj-24472	496	29	,	,	PUNCT
brj-24472	496	30	k.	k.	PROPN
brj-24472	496	31	n.	n.	PROPN
brj-24472	496	32	(	(	PUNCT
brj-24472	496	33	2023	2023	NUM
brj-24472	496	34	)	)	PUNCT
brj-24472	496	35	.	.	PUNCT
brj-24472	497	1	“	"	PUNCT
brj-24472	497	2	a	a	DET
brj-24472	497	3	hybrid	hybrid	NOUN
brj-24472	497	4	of	of	ADP
brj-24472	497	5	kansei	kansei	ADJ
brj-24472	497	6	engineering	engineering	NOUN
brj-24472	497	7	(	(	PUNCT
brj-24472	497	8	ke	ke	NOUN
brj-24472	497	9	)	)	PUNCT
brj-24472	497	10	and	and	CCONJ
brj-24472	497	11	analytical	analytical	ADJ
brj-24472	497	12	hierarchy	hierarchy	NOUN
brj-24472	497	13	process	process	NOUN
brj-24472	497	14	(	(	PUNCT
brj-24472	497	15	ahp	ahp	NOUN
brj-24472	497	16	)	)	PUNCT
brj-24472	497	17	to	to	PART
brj-24472	497	18	develop	develop	VERB
brj-24472	497	19	conceptual	conceptual	ADJ
brj-24472	497	20	designs	design	NOUN
brj-24472	497	21	of	of	ADP
brj-24472	497	22	portable	portable	ADJ
brj-24472	497	23	oil	oil	NOUN
brj-24472	497	24	spill	spill	NOUN
brj-24472	497	25	skimmer	skimmer	NOUN
brj-24472	497	26	,	,	PUNCT
brj-24472	497	27	”	"	PUNCT
brj-24472	497	28	iium	iium	NOUN
brj-24472	497	29	engineering	engineering	NOUN
brj-24472	497	30	journal	journal	PROPN
brj-24472	497	31	24(1	24(1	NOUN
brj-24472	497	32	)	)	PUNCT
brj-24472	497	33	,	,	PUNCT
brj-24472	497	34	183	183	NUM
brj-24472	497	35	-	-	SYM
brj-24472	497	36	198	198	NUM
brj-24472	497	37	.	.	PUNCT
brj-24472	498	1	doi	doi	NOUN
brj-24472	498	2	:	:	PUNCT
brj-24472	498	3	10.31436	10.31436	NUM
brj-24472	498	4	/	/	SYM
brj-24472	498	5	iiumej.v24i1.2426	iiumej.v24i1.2426	PROPN
brj-24472	498	6	ren	ren	PROPN
brj-24472	498	7	,	,	PUNCT
brj-24472	498	8	x.	x.	PROPN
brj-24472	498	9	,	,	PUNCT
brj-24472	498	10	wang	wang	PROPN
brj-24472	498	11	,	,	PUNCT
brj-24472	498	12	n.	n.	PROPN
brj-24472	498	13	,	,	PUNCT
brj-24472	498	14	pan	pan	PROPN
brj-24472	498	15	,	,	PUNCT
brj-24472	498	16	j.	j.	PROPN
brj-24472	498	17	,	,	PUNCT
brj-24472	498	18	and	and	CCONJ
brj-24472	498	19	bu	bu	ADP
brj-24472	498	20	,	,	PUNCT
brj-24472	498	21	l.	l.	PROPN
brj-24472	498	22	(	(	PUNCT
brj-24472	498	23	2025	2025	NUM
brj-24472	498	24	)	)	PUNCT
brj-24472	498	25	.	.	PUNCT
brj-24472	499	1	“	"	PUNCT
brj-24472	499	2	combining	combine	VERB
brj-24472	499	3	style	style	NOUN
brj-24472	499	4	generative	generative	ADJ
brj-24472	499	5	adversarial	adversarial	ADJ
brj-24472	499	6	networks	network	NOUN
brj-24472	499	7	with	with	ADP
brj-24472	499	8	particle	particle	NOUN
brj-24472	499	9	swarm	swarm	NOUN
brj-24472	499	10	optimisation	optimisation	NOUN
brj-24472	499	11	-	-	PUNCT
brj-24472	499	12	support	support	NOUN
brj-24472	499	13	vector	vector	NOUN
brj-24472	499	14	regression	regression	NOUN
brj-24472	499	15	to	to	PART
brj-24472	499	16	design	design	VERB
brj-24472	499	17	affective	affective	ADJ
brj-24472	499	18	social	social	ADJ
brj-24472	499	19	robot	robot	NOUN
brj-24472	499	20	for	for	ADP
brj-24472	499	21	public	public	ADJ
brj-24472	499	22	health	health	NOUN
brj-24472	499	23	intervention	intervention	NOUN
brj-24472	499	24	,	,	PUNCT
brj-24472	499	25	”	"	PUNCT
brj-24472	499	26	journal	journal	NOUN
brj-24472	499	27	of	of	ADP
brj-24472	499	28	engineering	engineering	NOUN
brj-24472	499	29	design	design	NOUN
brj-24472	499	30	36(1	36(1	NUM
brj-24472	499	31	)	)	PUNCT
brj-24472	499	32	,	,	PUNCT
brj-24472	499	33	160	160	NUM
brj-24472	499	34	-	-	SYM
brj-24472	499	35	190	190	NUM
brj-24472	499	36	.	.	PUNCT
brj-24472	500	1	doi	doi	NOUN
brj-24472	500	2	:	:	PUNCT
brj-24472	500	3	10.1080/09544828.2024.2415830	10.1080/09544828.2024.2415830	NUM
brj-24472	500	4	sato	sato	NOUN
brj-24472	500	5	,	,	PUNCT
brj-24472	500	6	k.	k.	PROPN
brj-24472	500	7	,	,	PUNCT
brj-24472	500	8	ito	ito	PROPN
brj-24472	500	9	,	,	PUNCT
brj-24472	500	10	t.	t.	PROPN
brj-24472	500	11	,	,	PUNCT
brj-24472	500	12	and	and	CCONJ
brj-24472	500	13	ishizu	ishizu	NOUN
brj-24472	500	14	,	,	PUNCT
brj-24472	500	15	s.	s.	PROPN
brj-24472	500	16	(	(	PUNCT
brj-24472	500	17	2022	2022	NUM
brj-24472	500	18	)	)	PUNCT
brj-24472	500	19	.	.	PUNCT
brj-24472	501	1	“	"	PUNCT
brj-24472	501	2	novel	novel	ADJ
brj-24472	501	3	kansei	kansei	NOUN
brj-24472	501	4	design	design	NOUN
brj-24472	501	5	method	method	NOUN
brj-24472	501	6	based	base	VERB
brj-24472	501	7	on	on	ADP
brj-24472	501	8	rough	rough	ADJ
brj-24472	501	9	set	set	NOUN
brj-24472	501	10	theory	theory	NOUN
brj-24472	501	11	,	,	PUNCT
brj-24472	501	12	”	"	PUNCT
brj-24472	501	13	in	in	ADP
brj-24472	501	14	:	:	PUNCT
brj-24472	501	15	2022	2022	NUM
brj-24472	501	16	ieee	ieee	PROPN
brj-24472	501	17	international	international	ADJ
brj-24472	501	18	conference	conference	NOUN
brj-24472	501	19	on	on	ADP
brj-24472	501	20	industrial	industrial	ADJ
brj-24472	501	21	engineering	engineering	NOUN
brj-24472	501	22	and	and	CCONJ
brj-24472	501	23	engineering	engineering	NOUN
brj-24472	501	24	management	management	NOUN
brj-24472	501	25	(	(	PUNCT
brj-24472	501	26	ieem	ieem	PROPN
brj-24472	501	27	)	)	PUNCT
brj-24472	501	28	,	,	PUNCT
brj-24472	501	29	kuala	kuala	PROPN
brj-24472	501	30	lumpur	lumpur	PROPN
brj-24472	501	31	,	,	PUNCT
brj-24472	501	32	malaysia	malaysia	PROPN
brj-24472	501	33	,	,	PUNCT
brj-24472	501	34	pp	pp	ADJ
brj-24472	501	35	.	.	PUNCT
brj-24472	502	1	1237	1237	NUM
brj-24472	502	2	-	-	SYM
brj-24472	502	3	1241	1241	NUM
brj-24472	502	4	.	.	PUNCT
brj-24472	503	1	doi	doi	NOUN
brj-24472	503	2	:	:	PUNCT
brj-24472	503	3	10.1109	10.1109	NUM
brj-24472	503	4	/	/	SYM
brj-24472	503	5	ieem55944.2022.9989818	ieem55944.2022.9989818	NUM
brj-24472	503	6	scrucca	scrucca	NOUN
brj-24472	503	7	,	,	PUNCT
brj-24472	503	8	l.	l.	PROPN
brj-24472	503	9	(	(	PUNCT
brj-24472	503	10	2013	2013	NUM
brj-24472	503	11	)	)	PUNCT
brj-24472	503	12	.	.	PUNCT
brj-24472	504	1	“	"	PUNCT
brj-24472	504	2	ga	ga	NOUN
brj-24472	504	3	:	:	PUNCT
brj-24472	504	4	a	a	DET
brj-24472	504	5	package	package	NOUN
brj-24472	504	6	for	for	ADP
brj-24472	504	7	genetic	genetic	ADJ
brj-24472	504	8	algorithms	algorithm	NOUN
brj-24472	504	9	in	in	ADP
brj-24472	504	10	r	r	NOUN
brj-24472	504	11	,	,	PUNCT
brj-24472	504	12	”	"	PUNCT
brj-24472	504	13	journal	journal	NOUN
brj-24472	504	14	of	of	ADP
brj-24472	504	15	statistical	statistical	ADJ
brj-24472	504	16	software	software	NOUN
brj-24472	504	17	53	53	NUM
brj-24472	504	18	,	,	PUNCT
brj-24472	504	19	1	1	NUM
brj-24472	504	20	-	-	SYM
brj-24472	504	21	37	37	NUM
brj-24472	504	22	.	.	PUNCT
brj-24472	505	1	doi	doi	NOUN
brj-24472	505	2	:	:	PUNCT
brj-24472	505	3	10.18637	10.18637	NUM
brj-24472	505	4	/	/	SYM
brj-24472	505	5	jss.v053.i04	jss.v053.i04	PROPN
brj-24472	505	6	shi	shi	PROPN
brj-24472	505	7	,	,	PUNCT
brj-24472	505	8	j.	j.	PROPN
brj-24472	505	9	,	,	PUNCT
brj-24472	505	10	xu	xu	PROPN
brj-24472	505	11	,	,	PUNCT
brj-24472	505	12	x.	x.	PROPN
brj-24472	505	13	,	,	PUNCT
brj-24472	505	14	zhong	zhong	PROPN
brj-24472	505	15	,	,	PUNCT
brj-24472	505	16	t.	t.	PROPN
brj-24472	505	17	,	,	PUNCT
brj-24472	505	18	zhang	zhang	PROPN
brj-24472	505	19	,	,	PUNCT
brj-24472	505	20	w.	w.	PROPN
brj-24472	505	21	,	,	PUNCT
brj-24472	505	22	yuan	yuan	PROPN
brj-24472	505	23	,	,	PUNCT
brj-24472	505	24	s.	s.	PROPN
brj-24472	505	25	,	,	PUNCT
brj-24472	505	26	feng	feng	PROPN
brj-24472	505	27	,	,	PUNCT
brj-24472	505	28	x.	x.	PROPN
brj-24472	505	29	,	,	PUNCT
brj-24472	505	30	sang	sing	VERB
brj-24472	505	31	,	,	PUNCT
brj-24472	505	32	r.	r.	PROPN
brj-24472	505	33	,	,	PUNCT
brj-24472	505	34	xia	xia	PROPN
brj-24472	505	35	,	,	PUNCT
brj-24472	505	36	c.	c.	PROPN
brj-24472	505	37	,	,	PUNCT
brj-24472	505	38	chen	chen	PROPN
brj-24472	505	39	,	,	PUNCT
brj-24472	505	40	h.	h.	PROPN
brj-24472	505	41	,	,	PUNCT
brj-24472	505	42	fei	fei	PROPN
brj-24472	505	43	,	,	PUNCT
brj-24472	505	44	b.	b.	PROPN
brj-24472	505	45	(	(	PUNCT
brj-24472	505	46	2023	2023	NUM
brj-24472	505	47	)	)	PUNCT
brj-24472	505	48	.	.	PUNCT
brj-24472	506	1	“	"	PUNCT
brj-24472	506	2	fabrication	fabrication	NOUN
brj-24472	506	3	and	and	CCONJ
brj-24472	506	4	application	application	NOUN
brj-24472	506	5	of	of	ADP
brj-24472	506	6	eco	eco	PROPN
brj-24472	506	7	-	-	PUNCT
brj-24472	506	8	friendly	friendly	ADJ
brj-24472	506	9	bamboo	bamboo	NOUN
brj-24472	506	10	self	self	NOUN
brj-24472	506	11	-	-	PUNCT
brj-24472	506	12	bonded	bond	VERB
brj-24472	506	13	composites	composite	NOUN
brj-24472	506	14	for	for	ADP
brj-24472	506	15	furniture	furniture	NOUN
brj-24472	506	16	,	,	PUNCT
brj-24472	506	17	”	"	PUNCT
brj-24472	506	18	acs	acs	X
brj-24472	506	19	sustainable	sustainable	ADJ
brj-24472	506	20	chemistry	chemistry	NOUN
brj-24472	506	21	and	and	CCONJ
brj-24472	506	22	engineering	engineering	NOUN
brj-24472	506	23	11(20	11(20	NUM
brj-24472	506	24	)	)	PUNCT
brj-24472	506	25	,	,	PUNCT
brj-24472	506	26	78337843	78337843	NUM
brj-24472	506	27	.	.	PUNCT
brj-24472	507	1	doi	doi	NOUN
brj-24472	507	2	:	:	PUNCT
brj-24472	507	3	10.1021	10.1021	NUM
brj-24472	507	4	/	/	SYM
brj-24472	507	5	acssuschemeng.3c00721	acssuschemeng.3c00721	PROPN
brj-24472	507	6	sun	sun	PROPN
brj-24472	507	7	,	,	PUNCT
brj-24472	507	8	a.	a.	PROPN
brj-24472	507	9	,	,	PUNCT
brj-24472	507	10	tang	tang	PROPN
brj-24472	507	11	,	,	PUNCT
brj-24472	507	12	x.	x.	PROPN
brj-24472	507	13	,	,	PUNCT
brj-24472	507	14	liao	liao	PROPN
brj-24472	507	15	,	,	PUNCT
brj-24472	507	16	h.	h.	PROPN
brj-24472	507	17	,	,	PUNCT
brj-24472	507	18	and	and	CCONJ
brj-24472	507	19	gong	gong	NOUN
brj-24472	507	20	,	,	PUNCT
brj-24472	507	21	j.	j.	PROPN
brj-24472	507	22	(	(	PUNCT
brj-24472	507	23	2025	2025	NUM
brj-24472	507	24	)	)	PUNCT
brj-24472	507	25	.	.	PUNCT
brj-24472	508	1	“	"	PUNCT
brj-24472	508	2	predicting	predict	VERB
brj-24472	508	3	ignitability	ignitability	NOUN
brj-24472	508	4	classification	classification	NOUN
brj-24472	508	5	of	of	ADP
brj-24472	508	6	thermally	thermally	ADV
brj-24472	508	7	thick	thick	ADJ
brj-24472	508	8	solids	solid	NOUN
brj-24472	508	9	using	use	VERB
brj-24472	508	10	hybrid	hybrid	ADJ
brj-24472	508	11	ga	ga	PROPN
brj-24472	508	12	-	-	PUNCT
brj-24472	508	13	bpnn	bpnn	NOUN
brj-24472	508	14	and	and	CCONJ
brj-24472	508	15	pso	pso	NOUN
brj-24472	508	16	-	-	PUNCT
brj-24472	508	17	bpnn	bpnn	NOUN
brj-24472	508	18	algorithms	algorithm	NOUN
brj-24472	508	19	,	,	PUNCT
brj-24472	508	20	”	"	PUNCT
brj-24472	508	21	fuel	fuel	NOUN
brj-24472	508	22	381	381	NUM
brj-24472	508	23	,	,	PUNCT
brj-24472	508	24	133474	133474	NUM
brj-24472	508	25	.	.	PUNCT
brj-24472	509	1	doi	doi	NOUN
brj-24472	509	2	:	:	PUNCT
brj-24472	509	3	10.1016	10.1016	NUM
brj-24472	509	4	/	/	SYM
brj-24472	509	5	j.fuel.2024.133474	j.fuel.2024.133474	NOUN
brj-24472	509	6	thangavel	thangavel	NOUN
brj-24472	509	7	,	,	PUNCT
brj-24472	509	8	k.	k.	PROPN
brj-24472	509	9	,	,	PUNCT
brj-24472	509	10	and	and	CCONJ
brj-24472	509	11	pethalakshmi	pethalakshmi	NOUN
brj-24472	509	12	,	,	PUNCT
brj-24472	509	13	a.	a.	NOUN
brj-24472	509	14	(	(	PUNCT
brj-24472	509	15	2009	2009	NUM
brj-24472	509	16	)	)	PUNCT
brj-24472	509	17	.	.	PUNCT
brj-24472	510	1	“	"	PUNCT
brj-24472	510	2	dimensionality	dimensionality	NOUN
brj-24472	510	3	reduction	reduction	NOUN
brj-24472	510	4	based	base	VERB
brj-24472	510	5	on	on	ADP
brj-24472	510	6	rough	rough	ADJ
brj-24472	510	7	set	set	NOUN
brj-24472	510	8	theory	theory	NOUN
brj-24472	510	9	:	:	PUNCT
brj-24472	510	10	a	a	DET
brj-24472	510	11	review	review	NOUN
brj-24472	510	12	,	,	PUNCT
brj-24472	510	13	”	"	PUNCT
brj-24472	510	14	applied	apply	VERB
brj-24472	510	15	soft	soft	ADJ
brj-24472	510	16	computing	computing	NOUN
brj-24472	510	17	9(1	9(1	NUM
brj-24472	510	18	)	)	PUNCT
brj-24472	510	19	,	,	PUNCT
brj-24472	510	20	1	1	NUM
brj-24472	510	21	-	-	SYM
brj-24472	510	22	12	12	NUM
brj-24472	510	23	.	.	PUNCT
brj-24472	511	1	doi	doi	NOUN
brj-24472	511	2	:	:	PUNCT
brj-24472	511	3	10.1016	10.1016	NUM
brj-24472	511	4	/	/	SYM
brj-24472	511	5	j.asoc.2008.05.006	j.asoc.2008.05.006	PROPN
brj-24472	511	6	wang	wang	PROPN
brj-24472	511	7	,	,	PUNCT
brj-24472	511	8	c.	c.	PROPN
brj-24472	511	9	,	,	PUNCT
brj-24472	511	10	zhang	zhang	PROPN
brj-24472	511	11	,	,	PUNCT
brj-24472	511	12	j.	j.	PROPN
brj-24472	511	13	,	,	PUNCT
brj-24472	511	14	liu	liu	PROPN
brj-24472	511	15	,	,	PUNCT
brj-24472	511	16	d.	d.	PROPN
brj-24472	511	17	,	,	PUNCT
brj-24472	511	18	cai	cai	PROPN
brj-24472	511	19	,	,	PUNCT
brj-24472	511	20	y.	y.	PROPN
brj-24472	511	21	,	,	PUNCT
brj-24472	511	22	and	and	CCONJ
brj-24472	511	23	gu	gu	NOUN
brj-24472	511	24	,	,	PUNCT
brj-24472	511	25	q.	q.	PROPN
brj-24472	511	26	(	(	PUNCT
brj-24472	511	27	2024	2024	NUM
brj-24472	511	28	)	)	PUNCT
brj-24472	511	29	.	.	PUNCT
brj-24472	512	1	“	"	PUNCT
brj-24472	512	2	an	an	DET
brj-24472	512	3	ai	ai	ADJ
brj-24472	512	4	-	-	PUNCT
brj-24472	512	5	powered	power	VERB
brj-24472	512	6	product	product	NOUN
brj-24472	512	7	identity	identity	NOUN
brj-24472	512	8	form	form	NOUN
brj-24472	512	9	design	design	NOUN
brj-24472	512	10	method	method	NOUN
brj-24472	512	11	based	base	VERB
brj-24472	512	12	on	on	ADP
brj-24472	512	13	shape	shape	NOUN
brj-24472	512	14	grammar	grammar	NOUN
brj-24472	512	15	and	and	CCONJ
brj-24472	512	16	kansei	kansei	ADJ
brj-24472	512	17	engineering	engineering	NOUN
brj-24472	512	18	:	:	PUNCT
brj-24472	512	19	integrating	integrate	VERB
brj-24472	512	20	midjourney	midjourney	ADJ
brj-24472	512	21	and	and	CCONJ
brj-24472	512	22	grey	grey	ADJ
brj-24472	512	23	-	-	PUNCT
brj-24472	512	24	ahp	ahp	NOUN
brj-24472	512	25	-	-	PUNCT
brj-24472	512	26	qfd	qfd	NOUN
brj-24472	512	27	,	,	PUNCT
brj-24472	512	28	”	"	PUNCT
brj-24472	512	29	applied	apply	VERB
brj-24472	512	30	sciences	science	NOUN
brj-24472	512	31	14(17	14(17	NUM
brj-24472	512	32	)	)	PUNCT
brj-24472	512	33	,	,	PUNCT
brj-24472	512	34	7444	7444	NUM
brj-24472	512	35	.	.	PUNCT
brj-24472	513	1	doi	doi	NOUN
brj-24472	513	2	:	:	PUNCT
brj-24472	513	3	10.3390	10.3390	NUM
brj-24472	513	4	/	/	SYM
brj-24472	513	5	app14177444	app14177444	NOUN
brj-24472	513	6	wang	wang	PROPN
brj-24472	513	7	n	n	PROPN
brj-24472	513	8	,	,	PUNCT
brj-24472	513	9	shi	shi	PROPN
brj-24472	513	10	d	d	PROPN
brj-24472	513	11	,	,	PUNCT
brj-24472	513	12	li	li	PROPN
brj-24472	513	13	z	z	PROPN
brj-24472	513	14	,	,	PUNCT
brj-24472	513	15	et	et	PROPN
brj-24472	513	16	al	al	PROPN
brj-24472	513	17	.	.	PUNCT
brj-24472	514	1	investigating	investigate	VERB
brj-24472	514	2	emotional	emotional	ADJ
brj-24472	514	3	design	design	NOUN
brj-24472	514	4	of	of	ADP
brj-24472	514	5	the	the	DET
brj-24472	514	6	intelligent	intelligent	ADJ
brj-24472	514	7	cockpit	cockpit	NOUN
brj-24472	514	8	based	base	VERB
brj-24472	514	9	on	on	ADP
brj-24472	514	10	visual	visual	ADJ
brj-24472	514	11	sequence	sequence	NOUN
brj-24472	514	12	data	datum	NOUN
brj-24472	514	13	and	and	CCONJ
brj-24472	514	14	improved	improve	VERB
brj-24472	514	15	lstm[j	lstm[j	PROPN
brj-24472	514	16	]	]	PUNCT
brj-24472	514	17	.	.	PUNCT
brj-24472	515	1	advanced	advanced	ADJ
brj-24472	515	2	engineering	engineering	NOUN
brj-24472	515	3	informatics	informatic	NOUN
brj-24472	515	4	,	,	PUNCT
brj-24472	515	5	2024	2024	NUM
brj-24472	515	6	,	,	PUNCT
brj-24472	515	7	61	61	NUM
brj-24472	515	8	:	:	SYM
brj-24472	515	9	102557	102557	NUM
brj-24472	515	10	.	.	PUNCT
brj-24472	516	1	wang	wang	PROPN
brj-24472	516	2	,	,	PUNCT
brj-24472	516	3	t.	t.	PROPN
brj-24472	516	4	,	,	PUNCT
brj-24472	516	5	xu	xu	PROPN
brj-24472	516	6	,	,	PUNCT
brj-24472	516	7	m.	m.	NOUN
brj-24472	516	8	,	,	PUNCT
brj-24472	516	9	yang	yang	PROPN
brj-24472	516	10	,	,	PUNCT
brj-24472	516	11	l.	l.	PROPN
brj-24472	516	12	,	,	PUNCT
brj-24472	516	13	zhou	zhou	PROPN
brj-24472	516	14	,	,	PUNCT
brj-24472	516	15	m.	m.	NOUN
brj-24472	516	16	,	,	PUNCT
brj-24472	516	17	and	and	CCONJ
brj-24472	516	18	sun	sun	NOUN
brj-24472	516	19	,	,	PUNCT
brj-24472	516	20	x.	x.	NOUN
brj-24472	516	21	(	(	PUNCT
brj-24472	516	22	2024	2024	NUM
brj-24472	516	23	)	)	PUNCT
brj-24472	516	24	.	.	PUNCT
brj-24472	517	1	“	"	PUNCT
brj-24472	517	2	constructing	construct	VERB
brj-24472	517	3	a	a	DET
brj-24472	517	4	moea	moea	NOUN
brj-24472	517	5	approach	approach	NOUN
brj-24472	517	6	for	for	ADP
brj-24472	517	7	product	product	NOUN
brj-24472	517	8	form	form	NOUN
brj-24472	517	9	kansei	kansei	ADJ
brj-24472	517	10	design	design	NOUN
brj-24472	517	11	based	base	VERB
brj-24472	517	12	on	on	ADP
brj-24472	517	13	text	text	NOUN
brj-24472	517	14	mining	mining	NOUN
brj-24472	517	15	and	and	CCONJ
brj-24472	517	16	bpnn	bpnn	NOUN
brj-24472	517	17	,	,	PUNCT
brj-24472	517	18	”	"	PUNCT
brj-24472	517	19	journal	journal	NOUN
brj-24472	517	20	of	of	ADP
brj-24472	517	21	intelligent	intelligent	ADJ
brj-24472	517	22	and	and	CCONJ
brj-24472	517	23	fuzzy	fuzzy	ADJ
brj-24472	517	24	systems	system	NOUN
brj-24472	517	25	(	(	PUNCT
brj-24472	517	26	preprint	preprint	NOUN
brj-24472	517	27	)	)	PUNCT
brj-24472	517	28	,	,	PUNCT
brj-24472	517	29	1	1	NUM
brj-24472	517	30	-	-	SYM
brj-24472	517	31	21	21	NUM
brj-24472	517	32	.	.	PUNCT
brj-24472	518	1	doi	doi	NOUN
brj-24472	518	2	:	:	PUNCT
brj-24472	518	3	10.3233	10.3233	NUM
brj-24472	518	4	/	/	SYM
brj-24472	518	5	jifs-230668	jifs-230668	NOUN
brj-24472	518	6	peer	peer	NOUN
brj-24472	518	7	-	-	PUNCT
brj-24472	518	8	reviewed	review	VERB
brj-24472	518	9	article	article	NOUN
brj-24472	518	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24472	518	11	huang	huang	PROPN
brj-24472	518	12	et	et	PROPN
brj-24472	518	13	al	al	PROPN
brj-24472	518	14	.	.	PROPN
brj-24472	519	1	(	(	PUNCT
brj-24472	519	2	2025	2025	NUM
brj-24472	519	3	)	)	PUNCT
brj-24472	519	4	.	.	PUNCT
brj-24472	520	1	“	"	PUNCT
brj-24472	520	2	bamboo	bamboo	NOUN
brj-24472	520	3	furniture	furniture	NOUN
brj-24472	520	4	design	design	NOUN
brj-24472	520	5	,	,	PUNCT
brj-24472	520	6	”	"	PUNCT
brj-24472	520	7	bioresources	bioresource	NOUN
brj-24472	520	8	20(3	20(3	NOUN
brj-24472	520	9	)	)	PUNCT
brj-24472	520	10	,	,	PUNCT
brj-24472	520	11	7107	7107	NUM
brj-24472	520	12	-	-	SYM
brj-24472	520	13	7133	7133	NUM
brj-24472	520	14	.	.	PUNCT
brj-24472	521	1	7133	7133	NUM
brj-24472	521	2	wang	wang	PROPN
brj-24472	521	3	,	,	PUNCT
brj-24472	521	4	t.	t.	PROPN
brj-24472	521	5	,	,	PUNCT
brj-24472	521	6	and	and	CCONJ
brj-24472	521	7	yang	yang	PROPN
brj-24472	521	8	,	,	PUNCT
brj-24472	521	9	l.	l.	PROPN
brj-24472	521	10	(	(	PUNCT
brj-24472	521	11	2023	2023	NUM
brj-24472	521	12	)	)	PUNCT
brj-24472	521	13	.	.	PUNCT
brj-24472	522	1	“	"	PUNCT
brj-24472	522	2	combining	combine	VERB
brj-24472	522	3	gra	gra	PROPN
brj-24472	522	4	with	with	ADP
brj-24472	522	5	a	a	DET
brj-24472	522	6	fuzzy	fuzzy	ADJ
brj-24472	522	7	qfd	qfd	NOUN
brj-24472	522	8	model	model	NOUN
brj-24472	522	9	for	for	ADP
brj-24472	522	10	the	the	DET
brj-24472	522	11	new	new	ADJ
brj-24472	522	12	product	product	NOUN
brj-24472	522	13	design	design	NOUN
brj-24472	522	14	and	and	CCONJ
brj-24472	522	15	development	development	NOUN
brj-24472	522	16	of	of	ADP
brj-24472	522	17	wickerwork	wickerwork	NOUN
brj-24472	522	18	lamps	lamp	NOUN
brj-24472	522	19	,	,	PUNCT
brj-24472	522	20	”	"	PUNCT
brj-24472	522	21	sustainability	sustainability	NOUN
brj-24472	522	22	15(5	15(5	NUM
brj-24472	522	23	)	)	PUNCT
brj-24472	522	24	,	,	PUNCT
brj-24472	522	25	4208	4208	NUM
brj-24472	522	26	.	.	PUNCT
brj-24472	523	1	doi	doi	NOUN
brj-24472	523	2	:	:	PUNCT
brj-24472	523	3	10.3390	10.3390	NUM
brj-24472	523	4	/	/	SYM
brj-24472	523	5	su15054208	su15054208	NOUN
brj-24472	523	6	wu	wu	PROPN
brj-24472	523	7	,	,	PUNCT
brj-24472	523	8	y.	y.	PROPN
brj-24472	523	9	,	,	PUNCT
brj-24472	523	10	wu	wu	PROPN
brj-24472	523	11	,	,	PUNCT
brj-24472	523	12	d.	d.	PROPN
brj-24472	523	13	,	,	PUNCT
brj-24472	523	14	fei	fei	PROPN
brj-24472	523	15	,	,	PUNCT
brj-24472	523	16	m.	m.	NOUN
brj-24472	523	17	,	,	PUNCT
brj-24472	523	18	sørensen	sørensen	NOUN
brj-24472	523	19	,	,	PUNCT
brj-24472	523	20	h.	h.	PROPN
brj-24472	523	21	,	,	PUNCT
brj-24472	523	22	ren	ren	PROPN
brj-24472	523	23	,	,	PUNCT
brj-24472	523	24	y.	y.	PROPN
brj-24472	523	25	,	,	PUNCT
brj-24472	523	26	and	and	CCONJ
brj-24472	523	27	mou	mou	PROPN
brj-24472	523	28	,	,	PUNCT
brj-24472	523	29	j.	j.	PROPN
brj-24472	523	30	(	(	PUNCT
brj-24472	523	31	2023	2023	NUM
brj-24472	523	32	)	)	PUNCT
brj-24472	523	33	.	.	PUNCT
brj-24472	524	1	“	"	PUNCT
brj-24472	524	2	application	application	NOUN
brj-24472	524	3	of	of	ADP
brj-24472	524	4	gabpnn	gabpnn	NOUN
brj-24472	524	5	on	on	ADP
brj-24472	524	6	estimating	estimate	VERB
brj-24472	524	7	the	the	DET
brj-24472	524	8	flow	flow	NOUN
brj-24472	524	9	rate	rate	NOUN
brj-24472	524	10	of	of	ADP
brj-24472	524	11	a	a	DET
brj-24472	524	12	centrifugal	centrifugal	ADJ
brj-24472	524	13	pump	pump	NOUN
brj-24472	524	14	,	,	PUNCT
brj-24472	524	15	”	"	PUNCT
brj-24472	524	16	engineering	engineering	NOUN
brj-24472	524	17	applications	application	NOUN
brj-24472	524	18	of	of	ADP
brj-24472	524	19	artificial	artificial	ADJ
brj-24472	524	20	intelligence	intelligence	NOUN
brj-24472	524	21	119	119	NUM
brj-24472	524	22	,	,	PUNCT
brj-24472	524	23	105738	105738	NUM
brj-24472	524	24	.	.	PUNCT
brj-24472	525	1	doi	doi	NOUN
brj-24472	525	2	:	:	PUNCT
brj-24472	525	3	10.1016	10.1016	NUM
brj-24472	525	4	/	/	SYM
brj-24472	525	5	j.engappai.2022.105738	j.engappai.2022.105738	PROPN
brj-24472	525	6	yang	yang	PROPN
brj-24472	525	7	,	,	PUNCT
brj-24472	525	8	c.	c.	PROPN
brj-24472	525	9	,	,	PUNCT
brj-24472	525	10	liu	liu	PROPN
brj-24472	525	11	,	,	PUNCT
brj-24472	525	12	f.	f.	PROPN
brj-24472	525	13	,	,	PUNCT
brj-24472	525	14	and	and	CCONJ
brj-24472	525	15	ye	ye	NOUN
brj-24472	525	16	,	,	PUNCT
brj-24472	525	17	j.	j.	PROPN
brj-24472	525	18	(	(	PUNCT
brj-24472	525	19	2023	2023	NUM
brj-24472	525	20	)	)	PUNCT
brj-24472	525	21	.	.	PUNCT
brj-24472	526	1	“	"	PUNCT
brj-24472	526	2	a	a	DET
brj-24472	526	3	product	product	NOUN
brj-24472	526	4	form	form	NOUN
brj-24472	526	5	design	design	NOUN
brj-24472	526	6	method	method	NOUN
brj-24472	526	7	integrating	integrate	VERB
brj-24472	526	8	kansei	kansei	ADJ
brj-24472	526	9	engineering	engineering	NOUN
brj-24472	526	10	and	and	CCONJ
brj-24472	526	11	diffusion	diffusion	NOUN
brj-24472	526	12	model	model	NOUN
brj-24472	526	13	,	,	PUNCT
brj-24472	526	14	”	"	PUNCT
brj-24472	526	15	advanced	advanced	ADJ
brj-24472	526	16	engineering	engineering	NOUN
brj-24472	526	17	informatics	informatic	NOUN
brj-24472	526	18	57	57	NUM
brj-24472	526	19	,	,	PUNCT
brj-24472	526	20	102058	102058	NUM
brj-24472	526	21	.	.	PUNCT
brj-24472	527	1	doi	doi	NOUN
brj-24472	527	2	:	:	PUNCT
brj-24472	527	3	10.1016	10.1016	NUM
brj-24472	527	4	/	/	SYM
brj-24472	527	5	j.aei.2023.102058	j.aei.2023.102058	PROPN
brj-24472	527	6	yang	yang	PROPN
brj-24472	527	7	,	,	PUNCT
brj-24472	527	8	c.	c.	PROPN
brj-24472	527	9	,	,	PUNCT
brj-24472	527	10	xu	xu	PROPN
brj-24472	527	11	,	,	PUNCT
brj-24472	527	12	t.	t.	PROPN
brj-24472	527	13	,	,	PUNCT
brj-24472	527	14	and	and	CCONJ
brj-24472	527	15	ye	ye	NOUN
brj-24472	527	16	,	,	PUNCT
brj-24472	527	17	j.	j.	PROPN
brj-24472	527	18	(	(	PUNCT
brj-24472	527	19	2024	2024	NUM
brj-24472	527	20	)	)	PUNCT
brj-24472	527	21	.	.	PUNCT
brj-24472	528	1	“	"	PUNCT
brj-24472	528	2	applying	apply	VERB
brj-24472	528	3	triz	triz	NOUN
brj-24472	528	4	and	and	CCONJ
brj-24472	528	5	kansei	kansei	ADJ
brj-24472	528	6	engineering	engineering	NOUN
brj-24472	528	7	to	to	ADP
brj-24472	528	8	the	the	DET
brj-24472	528	9	ecoinnovative	ecoinnovative	ADJ
brj-24472	528	10	product	product	NOUN
brj-24472	528	11	design	design	NOUN
brj-24472	528	12	towards	towards	ADP
brj-24472	528	13	waste	waste	NOUN
brj-24472	528	14	recycling	recycling	NOUN
brj-24472	528	15	with	with	ADP
brj-24472	528	16	latent	latent	NOUN
brj-24472	528	17	dirichlet	dirichlet	PROPN
brj-24472	528	18	allocation	allocation	NOUN
brj-24472	528	19	topic	topic	NOUN
brj-24472	528	20	model	model	NOUN
brj-24472	528	21	analysis	analysis	NOUN
brj-24472	528	22	,	,	PUNCT
brj-24472	528	23	”	"	PUNCT
brj-24472	528	24	engineering	engineering	NOUN
brj-24472	528	25	applications	application	NOUN
brj-24472	528	26	of	of	ADP
brj-24472	528	27	artificial	artificial	ADJ
brj-24472	528	28	intelligence	intelligence	NOUN
brj-24472	528	29	133	133	NUM
brj-24472	528	30	,	,	PUNCT
brj-24472	528	31	107962	107962	NUM
brj-24472	528	32	.	.	PUNCT
brj-24472	529	1	doi	doi	NOUN
brj-24472	529	2	:	:	PUNCT
brj-24472	529	3	10.1016	10.1016	NUM
brj-24472	529	4	/	/	SYM
brj-24472	529	5	j.engappai.2024.107962	j.engappai.2024.107962	PROPN
brj-24472	529	6	yu	yu	PROPN
brj-24472	529	7	,	,	PUNCT
brj-24472	529	8	s.	s.	PROPN
brj-24472	529	9	,	,	PUNCT
brj-24472	529	10	zhong	zhong	PROPN
brj-24472	529	11	,	,	PUNCT
brj-24472	529	12	z.	z.	PROPN
brj-24472	529	13	,	,	PUNCT
brj-24472	529	14	zhu	zhu	PROPN
brj-24472	529	15	,	,	PUNCT
brj-24472	529	16	y.	y.	PROPN
brj-24472	529	17	,	,	PUNCT
brj-24472	529	18	and	and	CCONJ
brj-24472	529	19	sun	sun	NOUN
brj-24472	529	20	,	,	PUNCT
brj-24472	529	21	j.	j.	PROPN
brj-24472	529	22	(	(	PUNCT
brj-24472	529	23	2024	2024	NUM
brj-24472	529	24	)	)	PUNCT
brj-24472	529	25	.	.	PUNCT
brj-24472	530	1	“	"	PUNCT
brj-24472	530	2	green	green	ADJ
brj-24472	530	3	emotion	emotion	NOUN
brj-24472	530	4	:	:	PUNCT
brj-24472	530	5	incorporating	incorporate	VERB
brj-24472	530	6	emotional	emotional	ADJ
brj-24472	530	7	perception	perception	NOUN
brj-24472	530	8	in	in	ADP
brj-24472	530	9	green	green	ADJ
brj-24472	530	10	marketing	marketing	NOUN
brj-24472	530	11	to	to	PART
brj-24472	530	12	increase	increase	VERB
brj-24472	530	13	green	green	ADJ
brj-24472	530	14	furniture	furniture	NOUN
brj-24472	530	15	purchase	purchase	NOUN
brj-24472	530	16	intentions	intention	NOUN
brj-24472	530	17	,	,	PUNCT
brj-24472	530	18	”	"	PUNCT
brj-24472	530	19	sustainability	sustainability	NOUN
brj-24472	530	20	16(12	16(12	NUM
brj-24472	530	21	)	)	PUNCT
brj-24472	530	22	,	,	PUNCT
brj-24472	530	23	4935	4935	NUM
brj-24472	530	24	.	.	PUNCT
brj-24472	531	1	doi	doi	NOUN
brj-24472	531	2	:	:	PUNCT
brj-24472	531	3	10.3390	10.3390	NUM
brj-24472	531	4	/	/	SYM
brj-24472	531	5	su16124935	su16124935	PROPN
brj-24472	531	6	yuan	yuan	PROPN
brj-24472	531	7	,	,	PUNCT
brj-24472	531	8	t.	t.	PROPN
brj-24472	531	9	,	,	PUNCT
brj-24472	531	10	wang	wang	PROPN
brj-24472	531	11	,	,	PUNCT
brj-24472	531	12	x.	x.	PROPN
brj-24472	531	13	,	,	PUNCT
brj-24472	531	14	liu	liu	PROPN
brj-24472	531	15	,	,	PUNCT
brj-24472	531	16	x.	x.	PROPN
brj-24472	531	17	,	,	PUNCT
brj-24472	531	18	lou	lou	PROPN
brj-24472	531	19	,	,	PUNCT
brj-24472	531	20	z.	z.	PROPN
brj-24472	531	21	,	,	PUNCT
brj-24472	531	22	mao	mao	PROPN
brj-24472	531	23	,	,	PUNCT
brj-24472	531	24	s.	s.	PROPN
brj-24472	531	25	,	,	PUNCT
brj-24472	531	26	and	and	CCONJ
brj-24472	531	27	li	li	PROPN
brj-24472	531	28	,	,	PUNCT
brj-24472	531	29	y.	y.	PROPN
brj-24472	531	30	(	(	PUNCT
brj-24472	531	31	2022	2022	NUM
brj-24472	531	32	)	)	PUNCT
brj-24472	531	33	.	.	PUNCT
brj-24472	532	1	“	"	PUNCT
brj-24472	532	2	bamboo	bamboo	NOUN
brj-24472	532	3	flattening	flattening	NOUN
brj-24472	532	4	technology	technology	NOUN
brj-24472	532	5	ebables	ebable	VERB
brj-24472	532	6	efficient	efficient	ADJ
brj-24472	532	7	and	and	CCONJ
brj-24472	532	8	value	value	NOUN
brj-24472	532	9	-	-	PUNCT
brj-24472	532	10	added	add	VERB
brj-24472	532	11	utilization	utilization	NOUN
brj-24472	532	12	of	of	ADP
brj-24472	532	13	bamboo	bamboo	NOUN
brj-24472	532	14	in	in	ADP
brj-24472	532	15	the	the	DET
brj-24472	532	16	manufacture	manufacture	NOUN
brj-24472	532	17	of	of	ADP
brj-24472	532	18	furniture	furniture	NOUN
brj-24472	532	19	and	and	CCONJ
brj-24472	532	20	engineered	engineer	VERB
brj-24472	532	21	composites	composite	NOUN
brj-24472	532	22	,	,	PUNCT
brj-24472	532	23	”	"	PUNCT
brj-24472	532	24	composites	composite	VERB
brj-24472	532	25	part	part	NOUN
brj-24472	532	26	b	b	NOUN
brj-24472	532	27	:	:	PUNCT
brj-24472	532	28	engineering	engineer	VERB
brj-24472	532	29	242	242	NUM
brj-24472	532	30	,	,	PUNCT
brj-24472	532	31	110097	110097	NUM
brj-24472	532	32	.	.	PUNCT
brj-24472	533	1	doi	doi	NOUN
brj-24472	533	2	:	:	PUNCT
brj-24472	533	3	10.1016	10.1016	NUM
brj-24472	533	4	/	/	SYM
brj-24472	533	5	j.compositesb.2022.110097	j.compositesb.2022.110097	PROPN
brj-24472	533	6	zhang	zhang	PROPN
brj-24472	533	7	,	,	PUNCT
brj-24472	533	8	q.	q.	PROPN
brj-24472	533	9	,	,	PUNCT
brj-24472	533	10	xie	xie	PROPN
brj-24472	533	11	,	,	PUNCT
brj-24472	533	12	q.	q.	PROPN
brj-24472	533	13	,	,	PUNCT
brj-24472	533	14	and	and	CCONJ
brj-24472	533	15	wang	wang	PROPN
brj-24472	533	16	,	,	PUNCT
brj-24472	533	17	g.	g.	PROPN
brj-24472	533	18	(	(	PUNCT
brj-24472	533	19	2016	2016	NUM
brj-24472	533	20	)	)	PUNCT
brj-24472	533	21	.	.	PUNCT
brj-24472	534	1	“	"	PUNCT
brj-24472	534	2	a	a	DET
brj-24472	534	3	survey	survey	NOUN
brj-24472	534	4	on	on	ADP
brj-24472	534	5	rough	rough	ADJ
brj-24472	534	6	set	set	NOUN
brj-24472	534	7	theory	theory	NOUN
brj-24472	534	8	and	and	CCONJ
brj-24472	534	9	its	its	PRON
brj-24472	534	10	applications	application	NOUN
brj-24472	534	11	,	,	PUNCT
brj-24472	534	12	”	"	PUNCT
brj-24472	534	13	caai	caai	NOUN
brj-24472	534	14	transactions	transaction	NOUN
brj-24472	534	15	on	on	ADP
brj-24472	534	16	intelligence	intelligence	NOUN
brj-24472	534	17	technology	technology	NOUN
brj-24472	534	18	1(4	1(4	NUM
brj-24472	534	19	)	)	PUNCT
brj-24472	534	20	,	,	PUNCT
brj-24472	534	21	323	323	NUM
brj-24472	534	22	-	-	SYM
brj-24472	534	23	333	333	NUM
brj-24472	534	24	.	.	PUNCT
brj-24472	535	1	doi	doi	NOUN
brj-24472	535	2	:	:	PUNCT
brj-24472	535	3	10.1016	10.1016	NUM
brj-24472	535	4	/	/	SYM
brj-24472	535	5	j.trit.2016.11.001	j.trit.2016.11.001	PROPN
brj-24472	535	6	zhang	zhang	PROPN
brj-24472	535	7	,	,	PUNCT
brj-24472	535	8	s.	s.	PROPN
brj-24472	535	9	,	,	PUNCT
brj-24472	535	10	zhu	zhu	PROPN
brj-24472	535	11	,	,	PUNCT
brj-24472	535	12	j.	j.	PROPN
brj-24472	535	13	,	,	PUNCT
brj-24472	535	14	wang	wang	PROPN
brj-24472	535	15	,	,	PUNCT
brj-24472	535	16	g.	g.	PROPN
brj-24472	535	17	,	,	PUNCT
brj-24472	535	18	reng	reng	PROPN
brj-24472	535	19	,	,	PUNCT
brj-24472	535	20	s.	s.	PROPN
brj-24472	535	21	,	,	PUNCT
brj-24472	535	22	and	and	CCONJ
brj-24472	535	23	yan	yan	PROPN
brj-24472	535	24	,	,	PUNCT
brj-24472	535	25	h.	h.	PROPN
brj-24472	535	26	(	(	PUNCT
brj-24472	535	27	2022	2022	NUM
brj-24472	535	28	)	)	PUNCT
brj-24472	535	29	.	.	PUNCT
brj-24472	536	1	“	"	PUNCT
brj-24472	536	2	furniture	furniture	VERB
brj-24472	536	3	online	online	ADJ
brj-24472	536	4	consumer	consumer	NOUN
brj-24472	536	5	experience	experience	NOUN
brj-24472	536	6	:	:	PUNCT
brj-24472	536	7	a	a	DET
brj-24472	536	8	literature	literature	NOUN
brj-24472	536	9	review	review	NOUN
brj-24472	536	10	,	,	PUNCT
brj-24472	536	11	”	"	PUNCT
brj-24472	536	12	bioresources	bioresource	NOUN
brj-24472	536	13	17(1	17(1	NUM
brj-24472	536	14	)	)	PUNCT
brj-24472	536	15	,	,	PUNCT
brj-24472	536	16	1627	1627	NUM
brj-24472	536	17	-	-	SYM
brj-24472	536	18	1642	1642	NUM
brj-24472	536	19	.	.	PUNCT
brj-24472	537	1	doi	doi	NOUN
brj-24472	537	2	:	:	PUNCT
brj-24472	537	3	10.15376	10.15376	NUM
brj-24472	537	4	/	/	SYM
brj-24472	537	5	biores.17.1.1627	biores.17.1.1627	PROPN
brj-24472	537	6	-	-	PUNCT
brj-24472	537	7	1642	1642	NUM
brj-24472	537	8	zhao	zhao	PROPN
brj-24472	537	9	,	,	PUNCT
brj-24472	537	10	x.	x.	NOUN
brj-24472	537	11	,	,	PUNCT
brj-24472	537	12	sharudin	sharudin	PROPN
brj-24472	537	13	,	,	PUNCT
brj-24472	537	14	s.	s.	PROPN
brj-24472	537	15	a.	a.	PROPN
brj-24472	537	16	,	,	PUNCT
brj-24472	537	17	and	and	CCONJ
brj-24472	537	18	lv	lv	PROPN
brj-24472	537	19	,	,	PUNCT
brj-24472	537	20	h.-l	h.-l	PROPN
brj-24472	537	21	.	.	PUNCT
brj-24472	538	1	(	(	PUNCT
brj-24472	538	2	2024	2024	NUM
brj-24472	538	3	)	)	PUNCT
brj-24472	538	4	.	.	PUNCT
brj-24472	539	1	“	"	PUNCT
brj-24472	539	2	a	a	DET
brj-24472	539	3	novel	novel	ADJ
brj-24472	539	4	product	product	NOUN
brj-24472	539	5	shape	shape	NOUN
brj-24472	539	6	design	design	NOUN
brj-24472	539	7	method	method	NOUN
brj-24472	539	8	integrating	integrate	VERB
brj-24472	539	9	kansei	kansei	ADJ
brj-24472	539	10	engineering	engineering	NOUN
brj-24472	539	11	and	and	CCONJ
brj-24472	539	12	whale	whale	NOUN
brj-24472	539	13	optimization	optimization	NOUN
brj-24472	539	14	algorithm	algorithm	NOUN
brj-24472	539	15	,	,	PUNCT
brj-24472	539	16	”	"	PUNCT
brj-24472	539	17	advanced	advanced	ADJ
brj-24472	539	18	engineering	engineering	NOUN
brj-24472	539	19	informatics	informatic	NOUN
brj-24472	539	20	62	62	NUM
brj-24472	539	21	,	,	PUNCT
brj-24472	539	22	102847	102847	NUM
brj-24472	539	23	.	.	PUNCT
brj-24472	540	1	doi	doi	NOUN
brj-24472	540	2	:	:	PUNCT
brj-24472	540	3	10.1016	10.1016	NUM
brj-24472	540	4	/	/	SYM
brj-24472	540	5	j.aei.2024.102847	j.aei.2024.102847	PROPN
brj-24472	540	6	zhou	zhou	PROPN
brj-24472	540	7	,	,	PUNCT
brj-24472	540	8	c.	c.	PROPN
brj-24472	540	9	,	,	PUNCT
brj-24472	540	10	gu	gu	PROPN
brj-24472	540	11	,	,	PUNCT
brj-24472	540	12	w.	w.	PROPN
brj-24472	540	13	,	,	PUNCT
brj-24472	540	14	luo	luo	PROPN
brj-24472	540	15	,	,	PUNCT
brj-24472	540	16	x.	x.	NOUN
brj-24472	540	17	,	,	PUNCT
brj-24472	540	18	and	and	CCONJ
brj-24472	540	19	kaner	kaner	PROPN
brj-24472	540	20	,	,	PUNCT
brj-24472	540	21	j.	j.	PROPN
brj-24472	540	22	(	(	PUNCT
brj-24472	540	23	2023a	2023a	NUM
brj-24472	540	24	)	)	PUNCT
brj-24472	540	25	.	.	PUNCT
brj-24472	541	1	“	"	PUNCT
brj-24472	541	2	building	build	VERB
brj-24472	541	3	a	a	DET
brj-24472	541	4	4e	4e	NOUN
brj-24472	541	5	interview	interview	NOUN
brj-24472	541	6	-	-	PUNCT
brj-24472	541	7	grounded	ground	VERB
brj-24472	541	8	theory	theory	NOUN
brj-24472	541	9	model	model	NOUN
brj-24472	541	10	:	:	PUNCT
brj-24472	541	11	a	a	DET
brj-24472	541	12	case	case	NOUN
brj-24472	541	13	study	study	NOUN
brj-24472	541	14	of	of	ADP
brj-24472	541	15	demand	demand	NOUN
brj-24472	541	16	factors	factor	NOUN
brj-24472	541	17	for	for	ADP
brj-24472	541	18	customized	customized	ADJ
brj-24472	541	19	furniture	furniture	NOUN
brj-24472	541	20	,	,	PUNCT
brj-24472	541	21	”	"	PUNCT
brj-24472	541	22	plos	plos	PROPN
brj-24472	541	23	one	one	NUM
brj-24472	541	24	18(4	18(4	NUM
brj-24472	541	25	)	)	PUNCT
brj-24472	541	26	,	,	PUNCT
brj-24472	541	27	e0282956	e0282956	PROPN
brj-24472	541	28	.	.	PUNCT
brj-24472	542	1	doi	doi	NOUN
brj-24472	542	2	:	:	PUNCT
brj-24472	542	3	10.1371	10.1371	NUM
brj-24472	542	4	/	/	SYM
brj-24472	542	5	journal.pone.0282956	journal.pone.0282956	PROPN
brj-24472	542	6	zhou	zhou	PROPN
brj-24472	542	7	,	,	PUNCT
brj-24472	542	8	c.	c.	PROPN
brj-24472	542	9	,	,	PUNCT
brj-24472	542	10	jiang	jiang	PROPN
brj-24472	542	11	,	,	PUNCT
brj-24472	542	12	l.	l.	PROPN
brj-24472	542	13	,	,	PUNCT
brj-24472	542	14	and	and	CCONJ
brj-24472	542	15	kaner	kaner	PROPN
brj-24472	542	16	,	,	PUNCT
brj-24472	542	17	j.	j.	PROPN
brj-24472	542	18	(	(	PUNCT
brj-24472	542	19	2023b	2023b	NUM
brj-24472	542	20	)	)	PUNCT
brj-24472	542	21	.	.	PUNCT
brj-24472	543	1	“	"	PUNCT
brj-24472	543	2	study	study	VERB
brj-24472	543	3	on	on	ADP
brj-24472	543	4	imagery	imagery	NOUN
brj-24472	543	5	modeling	modeling	NOUN
brj-24472	543	6	of	of	ADP
brj-24472	543	7	electric	electric	PROPN
brj-24472	543	8	recliner	recliner	PROPN
brj-24472	543	9	chair	chair	PROPN
brj-24472	543	10	:	:	PUNCT
brj-24472	543	11	based	base	VERB
brj-24472	543	12	on	on	ADP
brj-24472	543	13	combined	combined	ADJ
brj-24472	543	14	gra	gra	PROPN
brj-24472	543	15	and	and	CCONJ
brj-24472	543	16	kansei	kansei	PROPN
brj-24472	543	17	engineering	engineering	NOUN
brj-24472	543	18	,	,	PUNCT
brj-24472	543	19	”	"	PUNCT
brj-24472	543	20	applied	apply	VERB
brj-24472	543	21	sciences	science	NOUN
brj-24472	543	22	13(24	13(24	NUM
brj-24472	543	23	)	)	PUNCT
brj-24472	543	24	,	,	PUNCT
brj-24472	543	25	13345	13345	NUM
brj-24472	543	26	.	.	PUNCT
brj-24472	544	1	doi	doi	NOUN
brj-24472	544	2	:	:	PUNCT
brj-24472	544	3	10.3390	10.3390	NUM
brj-24472	544	4	/	/	SYM
brj-24472	544	5	app132413345	app132413345	ADJ
brj-24472	544	6	zimo	zimo	PROPN
brj-24472	544	7	,	,	PUNCT
brj-24472	544	8	c.	c.	NOUN
brj-24472	544	9	,	,	PUNCT
brj-24472	544	10	hailong	hailong	PROPN
brj-24472	544	11	,	,	PUNCT
brj-24472	544	12	f.	f.	PROPN
brj-24472	544	13	,	,	PUNCT
brj-24472	544	14	and	and	CCONJ
brj-24472	544	15	yajun	yajun	PROPN
brj-24472	544	16	,	,	PUNCT
brj-24472	544	17	l.	l.	PROPN
brj-24472	544	18	(	(	PUNCT
brj-24472	544	19	2024	2024	NUM
brj-24472	544	20	)	)	PUNCT
brj-24472	544	21	.	.	PUNCT
brj-24472	545	1	“	"	PUNCT
brj-24472	545	2	a	a	DET
brj-24472	545	3	front	front	ADJ
brj-24472	545	4	face	face	NOUN
brj-24472	545	5	design	design	NOUN
brj-24472	545	6	of	of	ADP
brj-24472	545	7	new	new	ADJ
brj-24472	545	8	energy	energy	NOUN
brj-24472	545	9	vehicles	vehicle	NOUN
brj-24472	545	10	based	base	VERB
brj-24472	545	11	on	on	ADP
brj-24472	545	12	rough	rough	ADJ
brj-24472	545	13	set	set	NOUN
brj-24472	545	14	theory	theory	NOUN
brj-24472	545	15	and	and	CCONJ
brj-24472	545	16	backpropagation	backpropagation	NOUN
brj-24472	545	17	neural	neural	ADJ
brj-24472	545	18	network	network	NOUN
brj-24472	545	19	,	,	PUNCT
brj-24472	545	20	”	"	PUNCT
brj-24472	545	21	kansei	kansei	VERB
brj-24472	545	22	engineering	engineering	NOUN
brj-24472	545	23	145(145	145(145	NUM
brj-24472	545	24	)	)	PUNCT
brj-24472	545	25	.	.	PUNCT
brj-24472	546	1	doi	doi	NOUN
brj-24472	546	2	:	:	PUNCT
brj-24472	546	3	10.54941	10.54941	NUM
brj-24472	546	4	/	/	SYM
brj-24472	546	5	ahfe1005142	ahfe1005142	PROPN
brj-24472	546	6	zuo	zuo	PROPN
brj-24472	546	7	,	,	PUNCT
brj-24472	546	8	y.	y.	PROPN
brj-24472	546	9	,	,	PUNCT
brj-24472	546	10	and	and	CCONJ
brj-24472	546	11	wang	wang	PROPN
brj-24472	546	12	,	,	PUNCT
brj-24472	546	13	z.	z.	PROPN
brj-24472	546	14	(	(	PUNCT
brj-24472	546	15	2020	2020	NUM
brj-24472	546	16	)	)	PUNCT
brj-24472	546	17	.	.	PUNCT
brj-24472	547	1	“	"	PUNCT
brj-24472	547	2	subjective	subjective	ADJ
brj-24472	547	3	product	product	NOUN
brj-24472	547	4	evaluation	evaluation	NOUN
brj-24472	547	5	system	system	NOUN
brj-24472	547	6	based	base	VERB
brj-24472	547	7	on	on	ADP
brj-24472	547	8	kansei	kansei	ADJ
brj-24472	547	9	engineering	engineering	NOUN
brj-24472	547	10	and	and	CCONJ
brj-24472	547	11	analytic	analytic	ADJ
brj-24472	547	12	hierarchy	hierarchy	NOUN
brj-24472	547	13	process	process	NOUN
brj-24472	547	14	,	,	PUNCT
brj-24472	547	15	”	"	PUNCT
brj-24472	547	16	symmetry	symmetry	NOUN
brj-24472	547	17	12(8	12(8	NUM
brj-24472	547	18	)	)	PUNCT
brj-24472	547	19	,	,	PUNCT
brj-24472	547	20	1340	1340	NUM
brj-24472	547	21	.	.	PUNCT
brj-24472	548	1	doi	doi	NOUN
brj-24472	548	2	:	:	PUNCT
brj-24472	548	3	10.3390	10.3390	NUM
brj-24472	548	4	/	/	SYM
brj-24472	548	5	sym12081340	sym12081340	NOUN
brj-24472	548	6	article	article	NOUN
brj-24472	548	7	submitted	submit	VERB
brj-24472	548	8	:	:	PUNCT
brj-24472	548	9	february	february	PROPN
brj-24472	548	10	10	10	NUM
brj-24472	548	11	,	,	PUNCT
brj-24472	548	12	2025	2025	NUM
brj-24472	548	13	;	;	PUNCT
brj-24472	548	14	peer	peer	NOUN
brj-24472	548	15	review	review	NOUN
brj-24472	548	16	completed	complete	VERB
brj-24472	548	17	:	:	PUNCT
brj-24472	548	18	april	april	PROPN
brj-24472	548	19	5	5	NUM
brj-24472	548	20	,	,	PUNCT
brj-24472	548	21	2025	2025	NUM
brj-24472	548	22	;	;	PUNCT
brj-24472	548	23	revisions	revision	NOUN
brj-24472	548	24	accepted	accept	VERB
brj-24472	548	25	:	:	PUNCT
brj-24472	548	26	june	june	PROPN
brj-24472	548	27	23	23	NUM
brj-24472	548	28	,	,	PUNCT
brj-24472	548	29	2025	2025	NUM
brj-24472	548	30	;	;	PUNCT
brj-24472	548	31	published	publish	VERB
brj-24472	548	32	:	:	PUNCT
brj-24472	548	33	july	july	PROPN
brj-24472	548	34	8	8	NUM
brj-24472	548	35	,	,	PUNCT
brj-24472	548	36	2025	2025	NUM
brj-24472	548	37	.	.	PUNCT
brj-24472	549	1	doi	doi	NOUN
brj-24472	549	2	:	:	PUNCT
brj-24472	549	3	10.15376	10.15376	NUM
brj-24472	549	4	/	/	SYM
brj-24472	549	5	biores.20.3.7107	biores.20.3.7107	PROPN
brj-24472	549	6	-	-	PUNCT
brj-24472	549	7	7133	7133	NUM