id	sid	tid	token	lemma	pos
ajst-29868	1	1	academic	academic	ADJ
ajst-29868	1	2	journal	journal	NOUN
ajst-29868	1	3	of	of	ADP
ajst-29868	1	4	science	science	NOUN
ajst-29868	1	5	and	and	CCONJ
ajst-29868	1	6	technology	technology	NOUN
ajst-29868	1	7	issn	issn	NOUN
ajst-29868	1	8	:	:	PUNCT
ajst-29868	1	9	2771	2771	NUM
ajst-29868	1	10	-	-	SYM
ajst-29868	1	11	3032	3032	NUM
ajst-29868	1	12	|	|	NOUN
ajst-29868	1	13	vol	vol	NOUN
ajst-29868	1	14	.	.	PUNCT
ajst-29868	2	1	14	14	NUM
ajst-29868	2	2	,	,	PUNCT
ajst-29868	2	3	no	no	INTJ
ajst-29868	2	4	.	.	NOUN
ajst-29868	2	5	2	2	NUM
ajst-29868	2	6	,	,	PUNCT
ajst-29868	2	7	2025	2025	NUM
ajst-29868	2	8	136	136	NUM
ajst-29868	2	9	multimodal	multimodal	NOUN
ajst-29868	2	10	data	datum	NOUN
ajst-29868	2	11	fusion	fusion	NOUN
ajst-29868	2	12	methods	method	NOUN
ajst-29868	2	13	for	for	ADP
ajst-29868	2	14	mixed	mixed	ADJ
ajst-29868	2	15	sets	set	NOUN
ajst-29868	2	16	of	of	ADP
ajst-29868	2	17	fuzzy	fuzzy	ADJ
ajst-29868	2	18	and	and	CCONJ
ajst-29868	2	19	precise	precise	ADJ
ajst-29868	2	20	numbers	number	NOUN
ajst-29868	2	21	yucheng	yucheng	PROPN
ajst-29868	2	22	zhang1	zhang1	NOUN
ajst-29868	2	23	,	,	PUNCT
ajst-29868	2	24	2	2	NUM
ajst-29868	2	25	,	,	PUNCT
ajst-29868	2	26	3	3	NUM
ajst-29868	2	27	,	,	PUNCT
ajst-29868	2	28	4	4	NUM
ajst-29868	2	29	,	,	PUNCT
ajst-29868	2	30	shibin	shibin	NOUN
ajst-29868	2	31	zhang1	zhang1	NOUN
ajst-29868	2	32	,	,	PUNCT
ajst-29868	2	33	3	3	NUM
ajst-29868	2	34	,	,	PUNCT
ajst-29868	2	35	4	4	NUM
ajst-29868	2	36	,	,	PUNCT
ajst-29868	2	37	*	*	PUNCT
ajst-29868	2	38	,	,	PUNCT
ajst-29868	2	39	lili	lili	PROPN
ajst-29868	2	40	yan2	yan2	PROPN
ajst-29868	2	41	,	,	PUNCT
ajst-29868	2	42	3	3	NUM
ajst-29868	2	43	,	,	PUNCT
ajst-29868	2	44	4	4	NUM
ajst-29868	2	45	,	,	PUNCT
ajst-29868	2	46	yan	yan	PROPN
ajst-29868	2	47	chang2	chang2	PROPN
ajst-29868	2	48	,	,	PUNCT
ajst-29868	2	49	3	3	NUM
ajst-29868	2	50	,	,	PUNCT
ajst-29868	2	51	4	4	NUM
ajst-29868	2	52	,	,	PUNCT
ajst-29868	2	53	zhi	zhi	PROPN
ajst-29868	2	54	qin2	qin2	PROPN
ajst-29868	2	55	,	,	PUNCT
ajst-29868	2	56	3	3	NUM
ajst-29868	2	57	,	,	PUNCT
ajst-29868	2	58	4	4	NUM
ajst-29868	2	59	,	,	PUNCT
ajst-29868	2	60	min	min	PROPN
ajst-29868	2	61	yang2	yang2	PROPN
ajst-29868	2	62	,	,	PUNCT
ajst-29868	2	63	3	3	NUM
ajst-29868	2	64	,	,	PUNCT
ajst-29868	2	65	4	4	NUM
ajst-29868	2	66	1college	1college	NUM
ajst-29868	2	67	of	of	ADP
ajst-29868	2	68	artificial	artificial	ADJ
ajst-29868	2	69	intelligence	intelligence	NOUN
ajst-29868	2	70	(	(	PUNCT
ajst-29868	2	71	xin	xin	PROPN
ajst-29868	2	72	gu	gu	PROPN
ajst-29868	2	73	industrial	industrial	PROPN
ajst-29868	2	74	college	college	PROPN
ajst-29868	2	75	)	)	PUNCT
ajst-29868	2	76	,	,	PUNCT
ajst-29868	2	77	chengdu	chengdu	PROPN
ajst-29868	2	78	university	university	PROPN
ajst-29868	2	79	of	of	ADP
ajst-29868	2	80	information	information	NOUN
ajst-29868	2	81	technology	technology	PROPN
ajst-29868	2	82	,	,	PUNCT
ajst-29868	2	83	chengdu	chengdu	PROPN
ajst-29868	2	84	,	,	PUNCT
ajst-29868	2	85	610225	610225	NUM
ajst-29868	2	86	,	,	PUNCT
ajst-29868	2	87	china	china	PROPN
ajst-29868	2	88	2school	2school	NUM
ajst-29868	2	89	of	of	ADP
ajst-29868	2	90	cybersecurity	cybersecurity	NOUN
ajst-29868	2	91	(	(	PUNCT
ajst-29868	2	92	xin	xin	PROPN
ajst-29868	2	93	gu	gu	PROPN
ajst-29868	2	94	industrial	industrial	PROPN
ajst-29868	2	95	college	college	PROPN
ajst-29868	2	96	)	)	PUNCT
ajst-29868	2	97	,	,	PUNCT
ajst-29868	2	98	chengdu	chengdu	PROPN
ajst-29868	2	99	university	university	PROPN
ajst-29868	2	100	of	of	ADP
ajst-29868	2	101	information	information	NOUN
ajst-29868	2	102	technology	technology	PROPN
ajst-29868	2	103	,	,	PUNCT
ajst-29868	2	104	chengdu	chengdu	PROPN
ajst-29868	2	105	,	,	PUNCT
ajst-29868	2	106	610225	610225	NUM
ajst-29868	2	107	,	,	PUNCT
ajst-29868	2	108	china	china	PROPN
ajst-29868	2	109	3advanced	3advanced	NUM
ajst-29868	2	110	cryptography	cryptography	NOUN
ajst-29868	2	111	and	and	CCONJ
ajst-29868	2	112	system	system	NOUN
ajst-29868	2	113	security	security	NOUN
ajst-29868	2	114	key	key	ADJ
ajst-29868	2	115	laboratory	laboratory	NOUN
ajst-29868	2	116	of	of	ADP
ajst-29868	2	117	sichuan	sichuan	PROPN
ajst-29868	2	118	province	province	PROPN
ajst-29868	2	119	,	,	PUNCT
ajst-29868	2	120	chengdu	chengdu	PROPN
ajst-29868	2	121	,	,	PUNCT
ajst-29868	2	122	610225	610225	NUM
ajst-29868	2	123	,	,	PUNCT
ajst-29868	2	124	china	china	PROPN
ajst-29868	2	125	4sugon	4sugon	NUM
ajst-29868	2	126	industrial	industrial	ADJ
ajst-29868	2	127	control	control	NOUN
ajst-29868	2	128	and	and	CCONJ
ajst-29868	2	129	security	security	NOUN
ajst-29868	2	130	center	center	NOUN
ajst-29868	2	131	,	,	PUNCT
ajst-29868	2	132	chengdu	chengdu	PROPN
ajst-29868	2	133	,	,	PUNCT
ajst-29868	2	134	610225	610225	NUM
ajst-29868	2	135	,	,	PUNCT
ajst-29868	2	136	china	china	PROPN
ajst-29868	2	137	*	*	PUNCT
ajst-29868	2	138	corresponding	correspond	VERB
ajst-29868	2	139	author	author	NOUN
ajst-29868	2	140	abstract	abstract	NOUN
ajst-29868	2	141	:	:	PUNCT
ajst-29868	2	142	this	this	DET
ajst-29868	2	143	paper	paper	NOUN
ajst-29868	2	144	presents	present	VERB
ajst-29868	2	145	a	a	DET
ajst-29868	2	146	novel	novel	ADJ
ajst-29868	2	147	data	data	NOUN
ajst-29868	2	148	fusion	fusion	NOUN
ajst-29868	2	149	framework	framework	NOUN
ajst-29868	2	150	to	to	PART
ajst-29868	2	151	address	address	VERB
ajst-29868	2	152	the	the	DET
ajst-29868	2	153	challenges	challenge	NOUN
ajst-29868	2	154	of	of	ADP
ajst-29868	2	155	extracting	extract	VERB
ajst-29868	2	156	valuable	valuable	ADJ
ajst-29868	2	157	information	information	NOUN
ajst-29868	2	158	from	from	ADP
ajst-29868	2	159	big	big	ADJ
ajst-29868	2	160	data	datum	NOUN
ajst-29868	2	161	characterized	characterize	VERB
ajst-29868	2	162	by	by	ADP
ajst-29868	2	163	its	its	PRON
ajst-29868	2	164	"	"	PUNCT
ajst-29868	2	165	5v	5v	NOUN
ajst-29868	2	166	"	"	PUNCT
ajst-29868	2	167	attributes	attribute	NOUN
ajst-29868	2	168	.	.	PUNCT
ajst-29868	3	1	the	the	DET
ajst-29868	3	2	framework	framework	NOUN
ajst-29868	3	3	integrates	integrate	VERB
ajst-29868	3	4	dempster	dempster	PROPN
ajst-29868	3	5	-	-	PUNCT
ajst-29868	3	6	shafer	shafer	PROPN
ajst-29868	3	7	evidence	evidence	NOUN
ajst-29868	3	8	theory	theory	NOUN
ajst-29868	3	9	(	(	PUNCT
ajst-29868	3	10	dset	dset	PROPN
ajst-29868	3	11	)	)	PUNCT
ajst-29868	3	12	for	for	ADP
ajst-29868	3	13	handling	handle	VERB
ajst-29868	3	14	fuzzy	fuzzy	ADJ
ajst-29868	3	15	data	datum	NOUN
ajst-29868	3	16	and	and	CCONJ
ajst-29868	3	17	information	information	NOUN
ajst-29868	3	18	theory	theory	NOUN
ajst-29868	3	19	for	for	ADP
ajst-29868	3	20	optimizing	optimize	VERB
ajst-29868	3	21	the	the	DET
ajst-29868	3	22	fusion	fusion	NOUN
ajst-29868	3	23	process	process	NOUN
ajst-29868	3	24	,	,	PUNCT
ajst-29868	3	25	resulting	result	VERB
ajst-29868	3	26	in	in	ADP
ajst-29868	3	27	a	a	DET
ajst-29868	3	28	comprehensive	comprehensive	ADJ
ajst-29868	3	29	and	and	CCONJ
ajst-29868	3	30	robust	robust	ADJ
ajst-29868	3	31	approach	approach	NOUN
ajst-29868	3	32	.	.	PUNCT
ajst-29868	4	1	a	a	DET
ajst-29868	4	2	new	new	ADJ
ajst-29868	4	3	algorithm	algorithm	NOUN
ajst-29868	4	4	for	for	ADP
ajst-29868	4	5	data	data	NOUN
ajst-29868	4	6	preprocessing	preprocessing	NOUN
ajst-29868	4	7	and	and	CCONJ
ajst-29868	4	8	classification	classification	NOUN
ajst-29868	4	9	is	be	AUX
ajst-29868	4	10	proposed	propose	VERB
ajst-29868	4	11	,	,	PUNCT
ajst-29868	4	12	utilizing	utilize	VERB
ajst-29868	4	13	k	k	NOUN
ajst-29868	4	14	-	-	PUNCT
ajst-29868	4	15	means	means	NOUN
ajst-29868	4	16	clustering	cluster	VERB
ajst-29868	4	17	to	to	PART
ajst-29868	4	18	differentiate	differentiate	VERB
ajst-29868	4	19	between	between	ADP
ajst-29868	4	20	fuzzy	fuzzy	ADJ
ajst-29868	4	21	and	and	CCONJ
ajst-29868	4	22	precise	precise	ADJ
ajst-29868	4	23	data	datum	NOUN
ajst-29868	4	24	.	.	PUNCT
ajst-29868	5	1	fuzzy	fuzzy	ADJ
ajst-29868	5	2	data	datum	NOUN
ajst-29868	5	3	is	be	AUX
ajst-29868	5	4	processed	process	VERB
ajst-29868	5	5	using	use	VERB
ajst-29868	5	6	dset	dset	NOUN
ajst-29868	5	7	,	,	PUNCT
ajst-29868	5	8	while	while	SCONJ
ajst-29868	5	9	the	the	DET
ajst-29868	5	10	bhattacharyya	bhattacharyya	PROPN
ajst-29868	5	11	jensen	jensen	PROPN
ajst-29868	5	12	-	-	PUNCT
ajst-29868	5	13	shannon	shannon	PROPN
ajst-29868	5	14	divergence	divergence	NOUN
ajst-29868	5	15	(	(	PUNCT
ajst-29868	5	16	bjs	bjs	NOUN
ajst-29868	5	17	divergence	divergence	NOUN
ajst-29868	5	18	)	)	PUNCT
ajst-29868	5	19	is	be	AUX
ajst-29868	5	20	employed	employ	VERB
ajst-29868	5	21	to	to	PART
ajst-29868	5	22	quantify	quantify	VERB
ajst-29868	5	23	uncertainty	uncertainty	NOUN
ajst-29868	5	24	and	and	CCONJ
ajst-29868	5	25	information	information	NOUN
ajst-29868	5	26	loss	loss	NOUN
ajst-29868	5	27	more	more	ADV
ajst-29868	5	28	accurately	accurately	ADV
ajst-29868	5	29	than	than	ADP
ajst-29868	5	30	traditional	traditional	ADJ
ajst-29868	5	31	methods	method	NOUN
ajst-29868	5	32	.	.	PUNCT
ajst-29868	6	1	the	the	DET
ajst-29868	6	2	framework	framework	NOUN
ajst-29868	6	3	includes	include	VERB
ajst-29868	6	4	an	an	DET
ajst-29868	6	5	enhanced	enhanced	ADJ
ajst-29868	6	6	credibility	credibility	NOUN
ajst-29868	6	7	evidence	evidence	NOUN
ajst-29868	6	8	fusion	fusion	NOUN
ajst-29868	6	9	algorithm	algorithm	NOUN
ajst-29868	6	10	that	that	PRON
ajst-29868	6	11	assigns	assign	VERB
ajst-29868	6	12	higher	high	ADJ
ajst-29868	6	13	credibility	credibility	NOUN
ajst-29868	6	14	to	to	PART
ajst-29868	6	15	well	well	ADV
ajst-29868	6	16	-	-	PUNCT
ajst-29868	6	17	supported	support	VERB
ajst-29868	6	18	evidence	evidence	NOUN
ajst-29868	6	19	,	,	PUNCT
ajst-29868	6	20	ensuring	ensure	VERB
ajst-29868	6	21	reliable	reliable	ADJ
ajst-29868	6	22	decision	decision	NOUN
ajst-29868	6	23	-	-	PUNCT
ajst-29868	6	24	making	making	NOUN
ajst-29868	6	25	.	.	PUNCT
ajst-29868	7	1	evaluated	evaluate	VERB
ajst-29868	7	2	using	use	VERB
ajst-29868	7	3	a	a	DET
ajst-29868	7	4	medical	medical	ADJ
ajst-29868	7	5	dataset	dataset	NOUN
ajst-29868	7	6	,	,	PUNCT
ajst-29868	7	7	the	the	DET
ajst-29868	7	8	framework	framework	NOUN
ajst-29868	7	9	demonstrates	demonstrate	VERB
ajst-29868	7	10	significant	significant	ADJ
ajst-29868	7	11	improvements	improvement	NOUN
ajst-29868	7	12	in	in	ADP
ajst-29868	7	13	performance	performance	NOUN
ajst-29868	7	14	metrics	metric	NOUN
ajst-29868	7	15	such	such	ADJ
ajst-29868	7	16	as	as	ADP
ajst-29868	7	17	accuracy	accuracy	NOUN
ajst-29868	7	18	and	and	CCONJ
ajst-29868	7	19	f1	f1	NOUN
ajst-29868	7	20	-	-	PUNCT
ajst-29868	7	21	score	score	NOUN
ajst-29868	7	22	.	.	PUNCT
ajst-29868	8	1	the	the	DET
ajst-29868	8	2	study	study	NOUN
ajst-29868	8	3	concludes	conclude	VERB
ajst-29868	8	4	that	that	SCONJ
ajst-29868	8	5	the	the	DET
ajst-29868	8	6	proposed	propose	VERB
ajst-29868	8	7	method	method	NOUN
ajst-29868	8	8	effectively	effectively	ADV
ajst-29868	8	9	bridges	bridge	VERB
ajst-29868	8	10	the	the	DET
ajst-29868	8	11	gap	gap	NOUN
ajst-29868	8	12	between	between	ADP
ajst-29868	8	13	fuzzy	fuzzy	ADJ
ajst-29868	8	14	labels	label	NOUN
ajst-29868	8	15	and	and	CCONJ
ajst-29868	8	16	precise	precise	ADJ
ajst-29868	8	17	classification	classification	NOUN
ajst-29868	8	18	,	,	PUNCT
ajst-29868	8	19	offering	offer	VERB
ajst-29868	8	20	a	a	DET
ajst-29868	8	21	universal	universal	ADJ
ajst-29868	8	22	solution	solution	NOUN
ajst-29868	8	23	for	for	ADP
ajst-29868	8	24	data	datum	NOUN
ajst-29868	8	25	fusion	fusion	NOUN
ajst-29868	8	26	that	that	PRON
ajst-29868	8	27	outperforms	outperform	VERB
ajst-29868	8	28	existing	exist	VERB
ajst-29868	8	29	approaches	approach	NOUN
ajst-29868	8	30	and	and	CCONJ
ajst-29868	8	31	sets	set	VERB
ajst-29868	8	32	a	a	DET
ajst-29868	8	33	new	new	ADJ
ajst-29868	8	34	benchmark	benchmark	NOUN
ajst-29868	8	35	for	for	ADP
ajst-29868	8	36	future	future	ADJ
ajst-29868	8	37	research	research	NOUN
ajst-29868	8	38	in	in	ADP
ajst-29868	8	39	data	data	NOUN
ajst-29868	8	40	fusion	fusion	NOUN
ajst-29868	8	41	technology	technology	NOUN
ajst-29868	8	42	.	.	PUNCT
ajst-29868	9	1	keywords	keyword	NOUN
ajst-29868	9	2	:	:	PUNCT
ajst-29868	9	3	data	datum	NOUN
ajst-29868	9	4	fusion	fusion	NOUN
ajst-29868	9	5	;	;	PUNCT
ajst-29868	9	6	dempster	dempster	PROPN
ajst-29868	9	7	-	-	PUNCT
ajst-29868	9	8	shafer	shafer	PROPN
ajst-29868	9	9	evidence	evidence	NOUN
ajst-29868	9	10	theory	theory	NOUN
ajst-29868	9	11	;	;	PUNCT
ajst-29868	9	12	bhattacharyya	bhattacharyya	ADJ
ajst-29868	9	13	jensen	jensen	PROPN
ajst-29868	9	14	-	-	PUNCT
ajst-29868	9	15	shannon	shannon	PROPN
ajst-29868	9	16	divergence	divergence	NOUN
ajst-29868	9	17	;	;	PUNCT
ajst-29868	9	18	information	information	NOUN
ajst-29868	9	19	theory	theory	NOUN
ajst-29868	9	20	.	.	PUNCT
ajst-29868	10	1	1	1	X
ajst-29868	10	2	.	.	X
ajst-29868	10	3	introduction	introduction	NOUN
ajst-29868	10	4	in	in	ADP
ajst-29868	10	5	the	the	DET
ajst-29868	10	6	era	era	NOUN
ajst-29868	10	7	of	of	ADP
ajst-29868	10	8	big	big	ADJ
ajst-29868	10	9	data	datum	NOUN
ajst-29868	10	10	,	,	PUNCT
ajst-29868	10	11	the	the	DET
ajst-29868	10	12	sources	source	NOUN
ajst-29868	10	13	of	of	ADP
ajst-29868	10	14	data	datum	NOUN
ajst-29868	10	15	are	be	AUX
ajst-29868	10	16	becoming	become	VERB
ajst-29868	10	17	more	more	ADV
ajst-29868	10	18	and	and	CCONJ
ajst-29868	10	19	more	more	ADV
ajst-29868	10	20	extensive	extensive	ADJ
ajst-29868	10	21	,	,	PUNCT
ajst-29868	10	22	and	and	CCONJ
ajst-29868	10	23	the	the	DET
ajst-29868	10	24	types	type	NOUN
ajst-29868	10	25	of	of	ADP
ajst-29868	10	26	data	datum	NOUN
ajst-29868	10	27	are	be	AUX
ajst-29868	10	28	becoming	become	VERB
ajst-29868	10	29	more	more	ADV
ajst-29868	10	30	and	and	CCONJ
ajst-29868	10	31	more	more	ADV
ajst-29868	10	32	diverse	diverse	ADJ
ajst-29868	10	33	.	.	PUNCT
ajst-29868	11	1	researchers	researcher	NOUN
ajst-29868	11	2	are	be	AUX
ajst-29868	11	3	facing	face	VERB
ajst-29868	11	4	unprecedented	unprecedented	ADJ
ajst-29868	11	5	challenges	challenge	NOUN
ajst-29868	11	6	of	of	ADP
ajst-29868	11	7	massive	massive	ADJ
ajst-29868	11	8	data	datum	NOUN
ajst-29868	11	9	.	.	PUNCT
ajst-29868	12	1	however	however	ADV
ajst-29868	12	2	,	,	PUNCT
ajst-29868	12	3	due	due	ADP
ajst-29868	12	4	to	to	ADP
ajst-29868	12	5	the	the	DET
ajst-29868	12	6	"	"	PUNCT
ajst-29868	12	7	5v	5v	NOUN
ajst-29868	12	8	"	"	PUNCT
ajst-29868	12	9	characteristics	characteristic	NOUN
ajst-29868	12	10	of	of	ADP
ajst-29868	12	11	big	big	ADJ
ajst-29868	12	12	data	datum	NOUN
ajst-29868	12	13	(	(	PUNCT
ajst-29868	12	14	volume	volume	NOUN
ajst-29868	12	15	,	,	PUNCT
ajst-29868	12	16	variety	variety	NOUN
ajst-29868	12	17	,	,	PUNCT
ajst-29868	12	18	value	value	NOUN
ajst-29868	12	19	,	,	PUNCT
ajst-29868	12	20	veracity	veracity	NOUN
ajst-29868	12	21	,	,	PUNCT
ajst-29868	12	22	velocity	velocity	NOUN
ajst-29868	12	23	)	)	PUNCT
ajst-29868	12	24	,	,	PUNCT
ajst-29868	12	25	it	it	PRON
ajst-29868	12	26	is	be	AUX
ajst-29868	12	27	difficult	difficult	ADJ
ajst-29868	12	28	for	for	SCONJ
ajst-29868	12	29	people	people	NOUN
ajst-29868	12	30	to	to	PART
ajst-29868	12	31	fully	fully	ADV
ajst-29868	12	32	mine	mine	VERB
ajst-29868	12	33	the	the	DET
ajst-29868	12	34	implicit	implicit	ADJ
ajst-29868	12	35	information	information	NOUN
ajst-29868	12	36	in	in	ADP
ajst-29868	12	37	big	big	ADJ
ajst-29868	12	38	data	datum	NOUN
ajst-29868	12	39	.	.	PUNCT
ajst-29868	13	1	therefore	therefore	ADV
ajst-29868	13	2	,	,	PUNCT
ajst-29868	13	3	people	people	NOUN
ajst-29868	13	4	urgently	urgently	ADV
ajst-29868	13	5	need	need	VERB
ajst-29868	13	6	effective	effective	ADJ
ajst-29868	13	7	means	mean	NOUN
ajst-29868	13	8	to	to	PART
ajst-29868	13	9	integrate	integrate	VERB
ajst-29868	13	10	massive	massive	ADJ
ajst-29868	13	11	data	datum	NOUN
ajst-29868	13	12	and	and	CCONJ
ajst-29868	13	13	mine	mine	PRON
ajst-29868	13	14	valuable	valuable	ADJ
ajst-29868	13	15	information	information	NOUN
ajst-29868	13	16	for	for	ADP
ajst-29868	13	17	use	use	NOUN
ajst-29868	13	18	,	,	PUNCT
ajst-29868	13	19	thus	thus	ADV
ajst-29868	13	20	transcending	transcend	VERB
ajst-29868	13	21	the	the	DET
ajst-29868	13	22	limitations	limitation	NOUN
ajst-29868	13	23	of	of	ADP
ajst-29868	13	24	a	a	DET
ajst-29868	13	25	single	single	ADJ
ajst-29868	13	26	data	datum	NOUN
ajst-29868	13	27	source	source	NOUN
ajst-29868	13	28	.	.	PUNCT
ajst-29868	14	1	through	through	ADP
ajst-29868	14	2	data	data	NOUN
ajst-29868	14	3	fusion	fusion	NOUN
ajst-29868	14	4	technology	technology	NOUN
ajst-29868	14	5	,	,	PUNCT
ajst-29868	14	6	a	a	DET
ajst-29868	14	7	deeper	deep	ADJ
ajst-29868	14	8	understanding	understanding	NOUN
ajst-29868	14	9	and	and	CCONJ
ajst-29868	14	10	analysis	analysis	NOUN
ajst-29868	14	11	of	of	ADP
ajst-29868	14	12	the	the	DET
ajst-29868	14	13	data	datum	NOUN
ajst-29868	14	14	can	can	AUX
ajst-29868	14	15	be	be	AUX
ajst-29868	14	16	realized	realize	VERB
ajst-29868	14	17	.	.	PUNCT
ajst-29868	15	1	data	datum	NOUN
ajst-29868	15	2	fusion	fusion	NOUN
ajst-29868	15	3	technology	technology	NOUN
ajst-29868	15	4	,	,	PUNCT
ajst-29868	15	5	as	as	ADP
ajst-29868	15	6	an	an	DET
ajst-29868	15	7	important	important	ADJ
ajst-29868	15	8	data	data	NOUN
ajst-29868	15	9	processing	processing	NOUN
ajst-29868	15	10	method	method	NOUN
ajst-29868	15	11	,	,	PUNCT
ajst-29868	15	12	has	have	VERB
ajst-29868	15	13	a	a	DET
ajst-29868	15	14	wide	wide	ADJ
ajst-29868	15	15	range	range	NOUN
ajst-29868	15	16	of	of	ADP
ajst-29868	15	17	applications	application	NOUN
ajst-29868	15	18	,	,	PUNCT
ajst-29868	15	19	such	such	ADJ
ajst-29868	15	20	as	as	ADP
ajst-29868	15	21	target	target	NOUN
ajst-29868	15	22	detection	detection	NOUN
ajst-29868	15	23	[	[	X
ajst-29868	15	24	1	1	NUM
ajst-29868	15	25	-	-	SYM
ajst-29868	15	26	3	3	NUM
ajst-29868	15	27	]	]	PUNCT
ajst-29868	15	28	,	,	PUNCT
ajst-29868	15	29	battlefield	battlefield	ADJ
ajst-29868	15	30	assessment	assessment	NOUN
ajst-29868	15	31	[	[	X
ajst-29868	15	32	4	4	NUM
ajst-29868	15	33	]	]	PUNCT
ajst-29868	15	34	,	,	PUNCT
ajst-29868	15	35	medical	medical	ADJ
ajst-29868	15	36	diagnosis	diagnosis	NOUN
ajst-29868	15	37	[	[	X
ajst-29868	15	38	5	5	NUM
ajst-29868	15	39	-	-	SYM
ajst-29868	15	40	7	7	NUM
ajst-29868	15	41	]	]	PUNCT
ajst-29868	15	42	,	,	PUNCT
ajst-29868	15	43	remote	remote	ADJ
ajst-29868	15	44	sensing	sense	VERB
ajst-29868	15	45	mapping	mapping	NOUN
ajst-29868	16	1	[	[	X
ajst-29868	16	2	8	8	NUM
ajst-29868	16	3	-	-	SYM
ajst-29868	16	4	10	10	NUM
ajst-29868	16	5	]	]	PUNCT
ajst-29868	16	6	,	,	PUNCT
ajst-29868	16	7	fault	fault	VERB
ajst-29868	16	8	diagnosis	diagnosis	NOUN
ajst-29868	16	9	[	[	X
ajst-29868	16	10	11	11	NUM
ajst-29868	16	11	-	-	SYM
ajst-29868	16	12	14	14	NUM
ajst-29868	16	13	]	]	PUNCT
ajst-29868	16	14	,	,	PUNCT
ajst-29868	16	15	intelligent	intelligent	ADJ
ajst-29868	16	16	manufacturing	manufacturing	NOUN
ajst-29868	16	17	[	[	X
ajst-29868	16	18	15	15	NUM
ajst-29868	16	19	-	-	SYM
ajst-29868	16	20	16	16	NUM
ajst-29868	16	21	]	]	PUNCT
ajst-29868	16	22	,	,	PUNCT
ajst-29868	16	23	etc	etc	X
ajst-29868	16	24	.	.	X
ajst-29868	16	25	in	in	ADP
ajst-29868	16	26	the	the	DET
ajst-29868	16	27	field	field	NOUN
ajst-29868	16	28	of	of	ADP
ajst-29868	16	29	intelligent	intelligent	ADJ
ajst-29868	16	30	manufacturing	manufacturing	NOUN
ajst-29868	16	31	,	,	PUNCT
ajst-29868	16	32	data	data	NOUN
ajst-29868	16	33	fusion	fusion	NOUN
ajst-29868	16	34	technology	technology	NOUN
ajst-29868	16	35	has	have	AUX
ajst-29868	16	36	effectively	effectively	ADV
ajst-29868	16	37	improved	improve	VERB
ajst-29868	16	38	people	people	NOUN
ajst-29868	16	39	's	's	PART
ajst-29868	16	40	processing	processing	NOUN
ajst-29868	16	41	ability	ability	NOUN
ajst-29868	16	42	and	and	CCONJ
ajst-29868	16	43	utilization	utilization	NOUN
ajst-29868	16	44	efficiency	efficiency	NOUN
ajst-29868	16	45	of	of	ADP
ajst-29868	16	46	industrial	industrial	ADJ
ajst-29868	16	47	big	big	ADJ
ajst-29868	16	48	data	datum	NOUN
ajst-29868	16	49	.	.	PUNCT
ajst-29868	17	1	through	through	ADP
ajst-29868	17	2	data	data	NOUN
ajst-29868	17	3	fusion	fusion	NOUN
ajst-29868	17	4	technology	technology	NOUN
ajst-29868	17	5	,	,	PUNCT
ajst-29868	17	6	massive	massive	ADJ
ajst-29868	17	7	,	,	PUNCT
ajst-29868	17	8	high	high	ADV
ajst-29868	17	9	-	-	PUNCT
ajst-29868	17	10	dimensional	dimensional	ADJ
ajst-29868	17	11	,	,	PUNCT
ajst-29868	17	12	multi	multi	ADJ
ajst-29868	17	13	-	-	ADJ
ajst-29868	17	14	source	source	ADJ
ajst-29868	17	15	heterogeneous	heterogeneous	ADJ
ajst-29868	17	16	noisy	noisy	ADJ
ajst-29868	17	17	industrial	industrial	ADJ
ajst-29868	17	18	data	datum	NOUN
ajst-29868	17	19	are	be	AUX
ajst-29868	17	20	cleaned	clean	VERB
ajst-29868	17	21	,	,	PUNCT
ajst-29868	17	22	denoised	denoise	VERB
ajst-29868	17	23	,	,	PUNCT
ajst-29868	17	24	integrated	integrate	VERB
ajst-29868	17	25	,	,	PUNCT
ajst-29868	17	26	modeled	model	VERB
ajst-29868	17	27	,	,	PUNCT
ajst-29868	17	28	and	and	CCONJ
ajst-29868	17	29	classified	classify	VERB
ajst-29868	17	30	on	on	ADP
ajst-29868	17	31	multiple	multiple	ADJ
ajst-29868	17	32	scales	scale	NOUN
ajst-29868	17	33	,	,	PUNCT
ajst-29868	17	34	providing	provide	VERB
ajst-29868	17	35	reliable	reliable	ADJ
ajst-29868	17	36	data	datum	NOUN
ajst-29868	17	37	resources	resource	NOUN
ajst-29868	17	38	for	for	ADP
ajst-29868	17	39	subsequent	subsequent	ADJ
ajst-29868	17	40	correlation	correlation	NOUN
ajst-29868	17	41	analysis	analysis	NOUN
ajst-29868	17	42	,	,	PUNCT
ajst-29868	17	43	performance	performance	NOUN
ajst-29868	17	44	prediction	prediction	NOUN
ajst-29868	17	45	,	,	PUNCT
ajst-29868	17	46	and	and	CCONJ
ajst-29868	17	47	optimization	optimization	NOUN
ajst-29868	17	48	decisionmaking	decisionmaking	NOUN
ajst-29868	17	49	.	.	PUNCT
ajst-29868	18	1	therefore	therefore	ADV
ajst-29868	18	2	,	,	PUNCT
ajst-29868	18	3	data	data	NOUN
ajst-29868	18	4	fusion	fusion	NOUN
ajst-29868	18	5	technology	technology	NOUN
ajst-29868	18	6	has	have	AUX
ajst-29868	18	7	strongly	strongly	ADV
ajst-29868	18	8	promoted	promote	VERB
ajst-29868	18	9	the	the	DET
ajst-29868	18	10	development	development	NOUN
ajst-29868	18	11	of	of	ADP
ajst-29868	18	12	application	application	NOUN
ajst-29868	18	13	fields	field	NOUN
ajst-29868	18	14	.	.	PUNCT
ajst-29868	19	1	data	datum	NOUN
ajst-29868	19	2	association	association	PROPN
ajst-29868	19	3	is	be	AUX
ajst-29868	19	4	a	a	DET
ajst-29868	19	5	key	key	ADJ
ajst-29868	19	6	step	step	NOUN
ajst-29868	19	7	in	in	ADP
ajst-29868	19	8	data	datum	NOUN
ajst-29868	19	9	fusion	fusion	NOUN
ajst-29868	19	10	,	,	PUNCT
ajst-29868	19	11	involving	involve	VERB
ajst-29868	19	12	determining	determine	VERB
ajst-29868	19	13	the	the	DET
ajst-29868	19	14	correspondence	correspondence	NOUN
ajst-29868	19	15	between	between	ADP
ajst-29868	19	16	a	a	DET
ajst-29868	19	17	set	set	NOUN
ajst-29868	19	18	of	of	ADP
ajst-29868	19	19	observed	observe	VERB
ajst-29868	19	20	data	datum	NOUN
ajst-29868	19	21	and	and	CCONJ
ajst-29868	19	22	a	a	DET
ajst-29868	19	23	specific	specific	ADJ
ajst-29868	19	24	target	target	NOUN
ajst-29868	19	25	.	.	PUNCT
ajst-29868	20	1	common	common	ADJ
ajst-29868	20	2	data	data	PROPN
ajst-29868	20	3	association	association	NOUN
ajst-29868	20	4	techniques	technique	NOUN
ajst-29868	20	5	include	include	VERB
ajst-29868	20	6	the	the	DET
ajst-29868	20	7	nearest	near	ADJ
ajst-29868	20	8	neighbor	neighbor	NOUN
ajst-29868	20	9	method	method	NOUN
ajst-29868	20	10	(	(	PUNCT
ajst-29868	20	11	nn	nn	PROPN
ajst-29868	20	12	)	)	PUNCT
ajst-29868	20	13	,	,	PUNCT
ajst-29868	20	14	kmeans	kmean	NOUN
ajst-29868	20	15	clustering	cluster	VERB
ajst-29868	20	16	(	(	PUNCT
ajst-29868	20	17	k	k	NOUN
ajst-29868	20	18	-	-	PUNCT
ajst-29868	20	19	means	mean	NOUN
ajst-29868	20	20	)	)	PUNCT
ajst-29868	20	21	,	,	PUNCT
ajst-29868	20	22	probabilistic	probabilistic	ADJ
ajst-29868	20	23	data	data	PROPN
ajst-29868	20	24	association	association	PROPN
ajst-29868	20	25	(	(	PUNCT
ajst-29868	20	26	pda	pda	NOUN
ajst-29868	20	27	)	)	PUNCT
ajst-29868	20	28	,	,	PUNCT
ajst-29868	20	29	joint	joint	ADJ
ajst-29868	20	30	probabilistic	probabilistic	ADJ
ajst-29868	20	31	data	data	NOUN
ajst-29868	20	32	association	association	NOUN
ajst-29868	20	33	(	(	PUNCT
ajst-29868	20	34	jpda	jpda	PROPN
ajst-29868	20	35	)	)	PUNCT
ajst-29868	20	36	,	,	PUNCT
ajst-29868	20	37	and	and	CCONJ
ajst-29868	20	38	multiple	multiple	ADJ
ajst-29868	20	39	hypothesis	hypothesis	NOUN
ajst-29868	20	40	testing	testing	NOUN
ajst-29868	20	41	(	(	PUNCT
ajst-29868	20	42	mht	mht	NOUN
ajst-29868	20	43	)	)	PUNCT
ajst-29868	20	44	,	,	PUNCT
ajst-29868	20	45	etc.[17	etc.[17	ADV
ajst-29868	20	46	]	]	PUNCT
ajst-29868	20	47	.	.	PUNCT
ajst-29868	21	1	in	in	ADP
ajst-29868	21	2	addition	addition	NOUN
ajst-29868	21	3	,	,	PUNCT
ajst-29868	21	4	the	the	DET
ajst-29868	21	5	data	data	NOUN
ajst-29868	21	6	fusion	fusion	NOUN
ajst-29868	21	7	system	system	NOUN
ajst-29868	21	8	needs	need	VERB
ajst-29868	21	9	to	to	PART
ajst-29868	21	10	make	make	VERB
ajst-29868	21	11	decisions	decision	NOUN
ajst-29868	21	12	.	.	PUNCT
ajst-29868	22	1	decision	decision	NOUN
ajst-29868	22	2	fusion	fusion	NOUN
ajst-29868	22	3	technology	technology	NOUN
ajst-29868	22	4	usually	usually	ADV
ajst-29868	22	5	uses	use	VERB
ajst-29868	22	6	symbolic	symbolic	ADJ
ajst-29868	22	7	information	information	NOUN
ajst-29868	22	8	and	and	CCONJ
ajst-29868	22	9	considers	consider	VERB
ajst-29868	22	10	uncertainty	uncertainty	NOUN
ajst-29868	22	11	and	and	CCONJ
ajst-29868	22	12	constraints	constraint	NOUN
ajst-29868	22	13	during	during	ADP
ajst-29868	22	14	the	the	DET
ajst-29868	22	15	fusion	fusion	NOUN
ajst-29868	22	16	process	process	NOUN
ajst-29868	22	17	.	.	PUNCT
ajst-29868	23	1	common	common	ADJ
ajst-29868	23	2	decision	decision	NOUN
ajst-29868	23	3	fusion	fusion	NOUN
ajst-29868	23	4	methods	method	NOUN
ajst-29868	23	5	include	include	VERB
ajst-29868	23	6	bayesian	bayesian	NOUN
ajst-29868	23	7	methods	method	NOUN
ajst-29868	23	8	,	,	PUNCT
ajst-29868	23	9	dempster	dempster	PROPN
ajst-29868	23	10	-	-	PUNCT
ajst-29868	23	11	shafer	shafer	NOUN
ajst-29868	23	12	reasoning	reasoning	NOUN
ajst-29868	23	13	,	,	PUNCT
ajst-29868	23	14	deductive	deductive	ADJ
ajst-29868	23	15	reasoning	reasoning	NOUN
ajst-29868	23	16	,	,	PUNCT
ajst-29868	23	17	and	and	CCONJ
ajst-29868	23	18	semantic	semantic	ADJ
ajst-29868	23	19	methods	method	NOUN
ajst-29868	23	20	,	,	PUNCT
ajst-29868	23	21	etc.[17	etc.[17	ADV
ajst-29868	23	22	]	]	PUNCT
ajst-29868	23	23	.	.	PUNCT
ajst-29868	24	1	inspired	inspire	VERB
ajst-29868	24	2	by	by	ADP
ajst-29868	24	3	the	the	DET
ajst-29868	24	4	mcgurk	mcgurk	PROPN
ajst-29868	24	5	effect[18	effect[18	PROPN
ajst-29868	24	6	]	]	PUNCT
ajst-29868	24	7	in	in	ADP
ajst-29868	24	8	the	the	DET
ajst-29868	24	9	audio	audio	ADJ
ajst-29868	24	10	-	-	ADJ
ajst-29868	24	11	visual	visual	ADJ
ajst-29868	24	12	speech	speech	NOUN
ajst-29868	24	13	recognition	recognition	NOUN
ajst-29868	24	14	task	task	NOUN
ajst-29868	24	15	,	,	PUNCT
ajst-29868	24	16	scholars	scholar	NOUN
ajst-29868	24	17	have	have	AUX
ajst-29868	24	18	begun	begin	VERB
ajst-29868	24	19	to	to	PART
ajst-29868	24	20	explore	explore	VERB
ajst-29868	24	21	the	the	DET
ajst-29868	24	22	theory	theory	NOUN
ajst-29868	24	23	and	and	CCONJ
ajst-29868	24	24	methods	method	NOUN
ajst-29868	24	25	of	of	ADP
ajst-29868	24	26	multimodal	multimodal	NOUN
ajst-29868	24	27	data	datum	NOUN
ajst-29868	24	28	fusion	fusion	NOUN
ajst-29868	24	29	.	.	PUNCT
ajst-29868	25	1	with	with	ADP
ajst-29868	25	2	the	the	DET
ajst-29868	25	3	development	development	NOUN
ajst-29868	25	4	of	of	ADP
ajst-29868	25	5	deep	deep	ADJ
ajst-29868	25	6	learning	learning	NOUN
ajst-29868	25	7	technology	technology	NOUN
ajst-29868	25	8	,	,	PUNCT
ajst-29868	25	9	multimodal	multimodal	ADJ
ajst-29868	25	10	data	datum	NOUN
ajst-29868	25	11	fusion	fusion	NOUN
ajst-29868	25	12	has	have	AUX
ajst-29868	25	13	ushered	usher	VERB
ajst-29868	25	14	in	in	ADP
ajst-29868	25	15	new	new	ADJ
ajst-29868	25	16	opportunities	opportunity	NOUN
ajst-29868	25	17	.	.	PUNCT
ajst-29868	26	1	for	for	ADP
ajst-29868	26	2	example	example	NOUN
ajst-29868	26	3	,	,	PUNCT
ajst-29868	26	4	dai	dai	PROPN
ajst-29868	26	5	and	and	CCONJ
ajst-29868	26	6	others	other	NOUN
ajst-29868	26	7	'	'	PART
ajst-29868	26	8	research	research	NOUN
ajst-29868	26	9	was	be	AUX
ajst-29868	26	10	inspired	inspire	VERB
ajst-29868	26	11	by	by	ADP
ajst-29868	26	12	the	the	DET
ajst-29868	26	13	mcgurk	mcgurk	PROPN
ajst-29868	26	14	effect	effect	PROPN
ajst-29868	26	15	,	,	PUNCT
ajst-29868	26	16	which	which	PRON
ajst-29868	26	17	demonstrates	demonstrate	VERB
ajst-29868	26	18	the	the	DET
ajst-29868	26	19	importance	importance	NOUN
ajst-29868	26	20	of	of	ADP
ajst-29868	26	21	audio	audio	ADJ
ajst-29868	26	22	-	-	ADJ
ajst-29868	26	23	visual	visual	ADJ
ajst-29868	26	24	information	information	NOUN
ajst-29868	26	25	fusion	fusion	NOUN
ajst-29868	26	26	for	for	ADP
ajst-29868	26	27	human	human	ADJ
ajst-29868	26	28	perception	perception	NOUN
ajst-29868	26	29	.	.	PUNCT
ajst-29868	27	1	although	although	SCONJ
ajst-29868	27	2	traditional	traditional	ADJ
ajst-29868	27	3	machine	machine	NOUN
ajst-29868	27	4	learning	learning	NOUN
ajst-29868	27	5	technology	technology	NOUN
ajst-29868	27	6	has	have	VERB
ajst-29868	27	7	limitations	limitation	NOUN
ajst-29868	27	8	in	in	ADP
ajst-29868	27	9	multimodal	multimodal	NOUN
ajst-29868	27	10	data	datum	NOUN
ajst-29868	27	11	fusion	fusion	NOUN
ajst-29868	27	12	,	,	PUNCT
ajst-29868	27	13	the	the	DET
ajst-29868	27	14	development	development	NOUN
ajst-29868	27	15	of	of	ADP
ajst-29868	27	16	deep	deep	ADJ
ajst-29868	27	17	learning	learning	NOUN
ajst-29868	27	18	technology	technology	NOUN
ajst-29868	27	19	has	have	AUX
ajst-29868	27	20	brought	bring	VERB
ajst-29868	27	21	new	new	ADJ
ajst-29868	27	22	opportunities	opportunity	NOUN
ajst-29868	27	23	to	to	ADP
ajst-29868	27	24	this	this	DET
ajst-29868	27	25	field	field	NOUN
ajst-29868	27	26	.	.	PUNCT
ajst-29868	28	1	dai	dai	PROPN
ajst-29868	28	2	and	and	CCONJ
ajst-29868	28	3	others	other	NOUN
ajst-29868	28	4	'	'	PART
ajst-29868	28	5	research	research	NOUN
ajst-29868	28	6	"	"	PUNCT
ajst-29868	28	7	analysis	analysis	NOUN
ajst-29868	28	8	of	of	ADP
ajst-29868	28	9	multimodal	multimodal	NOUN
ajst-29868	28	10	data	datum	NOUN
ajst-29868	28	11	fusion	fusion	NOUN
ajst-29868	28	12	from	from	ADP
ajst-29868	28	13	an	an	DET
ajst-29868	28	14	information	information	NOUN
ajst-29868	28	15	theory	theory	NOUN
ajst-29868	28	16	perspective	perspective	NOUN
ajst-29868	28	17	"	"	PUNCT
ajst-29868	28	18	deeply	deeply	ADV
ajst-29868	28	19	discusses	discuss	VERB
ajst-29868	28	20	the	the	DET
ajst-29868	28	21	theoretical	theoretical	ADJ
ajst-29868	28	22	basis	basis	NOUN
ajst-29868	28	23	of	of	ADP
ajst-29868	28	24	multimodal	multimodal	ADJ
ajst-29868	28	25	data	datum	NOUN
ajst-29868	28	26	fusion	fusion	NOUN
ajst-29868	28	27	,	,	PUNCT
ajst-29868	28	28	especially	especially	ADV
ajst-29868	28	29	the	the	DET
ajst-29868	28	30	relationship	relationship	NOUN
ajst-29868	28	31	between	between	ADP
ajst-29868	28	32	data	datum	NOUN
ajst-29868	28	33	information	information	NOUN
ajst-29868	28	34	and	and	CCONJ
ajst-29868	28	35	model	model	NOUN
ajst-29868	28	36	performance	performance	NOUN
ajst-29868	28	37	from	from	ADP
ajst-29868	28	38	the	the	DET
ajst-29868	28	39	perspective	perspective	NOUN
ajst-29868	28	40	of	of	ADP
ajst-29868	28	41	information	information	NOUN
ajst-29868	28	42	theory	theory	NOUN
ajst-29868	28	43	.	.	PUNCT
ajst-29868	29	1	they	they	PRON
ajst-29868	29	2	pointed	point	VERB
ajst-29868	29	3	out	out	ADP
ajst-29868	29	4	that	that	SCONJ
ajst-29868	29	5	although	although	SCONJ
ajst-29868	29	6	deep	deep	ADJ
ajst-29868	29	7	learning	learning	NOUN
ajst-29868	29	8	technology	technology	NOUN
ajst-29868	29	9	provides	provide	VERB
ajst-29868	29	10	new	new	ADJ
ajst-29868	29	11	possibilities	possibility	NOUN
ajst-29868	29	12	for	for	ADP
ajst-29868	29	13	processing	process	VERB
ajst-29868	29	14	complex	complex	ADJ
ajst-29868	29	15	multimodal	multimodal	NOUN
ajst-29868	29	16	data	datum	NOUN
ajst-29868	29	17	,	,	PUNCT
ajst-29868	29	18	there	there	PRON
ajst-29868	29	19	is	be	VERB
ajst-29868	29	20	currently	currently	ADV
ajst-29868	29	21	a	a	DET
ajst-29868	29	22	lack	lack	NOUN
ajst-29868	29	23	of	of	ADP
ajst-29868	29	24	theoretical	theoretical	ADJ
ajst-29868	29	25	analysis	analysis	NOUN
ajst-29868	29	26	methods	method	NOUN
ajst-29868	29	27	that	that	PRON
ajst-29868	29	28	link	link	VERB
ajst-29868	29	29	data	datum	NOUN
ajst-29868	29	30	information	information	NOUN
ajst-29868	29	31	with	with	ADP
ajst-29868	29	32	model	model	NOUN
ajst-29868	29	33	performance	performance	NOUN
ajst-29868	29	34	.	.	PUNCT
ajst-29868	30	1	to	to	ADP
ajst-29868	30	2	this	this	DET
ajst-29868	30	3	end	end	NOUN
ajst-29868	30	4	,	,	PUNCT
ajst-29868	30	5	they	they	PRON
ajst-29868	30	6	proposed	propose	VERB
ajst-29868	30	7	a	a	DET
ajst-29868	30	8	set	set	NOUN
ajst-29868	30	9	of	of	ADP
ajst-29868	30	10	basic	basic	ADJ
ajst-29868	30	11	concepts	concept	NOUN
ajst-29868	30	12	and	and	CCONJ
ajst-29868	30	13	principles	principle	NOUN
ajst-29868	30	14	,	,	PUNCT
ajst-29868	30	15	including	include	VERB
ajst-29868	30	16	defining	define	VERB
ajst-29868	30	17	the	the	DET
ajst-29868	30	18	model	model	NOUN
ajst-29868	30	19	accuracy	accuracy	NOUN
ajst-29868	30	20	limit	limit	NOUN
ajst-29868	30	21	of	of	ADP
ajst-29868	30	22	multimodal	multimodal	NOUN
ajst-29868	30	23	tasks	task	NOUN
ajst-29868	30	24	,	,	PUNCT
ajst-29868	30	25	and	and	CCONJ
ajst-29868	30	26	proved	prove	VERB
ajst-29868	30	27	that	that	SCONJ
ajst-29868	30	28	when	when	SCONJ
ajst-29868	30	29	additional	additional	ADJ
ajst-29868	30	30	modal	modal	ADJ
ajst-29868	30	31	data	datum	NOUN
ajst-29868	30	32	provides	provide	VERB
ajst-29868	30	33	more	more	ADV
ajst-29868	30	34	effective	effective	ADJ
ajst-29868	30	35	information	information	NOUN
ajst-29868	30	36	,	,	PUNCT
ajst-29868	30	37	the	the	DET
ajst-29868	30	38	performance	performance	NOUN
ajst-29868	30	39	of	of	ADP
ajst-29868	30	40	multimodal	multimodal	NOUN
ajst-29868	30	41	models	model	NOUN
ajst-29868	30	42	can	can	AUX
ajst-29868	30	43	be	be	AUX
ajst-29868	30	44	improved	improve	VERB
ajst-29868	30	45	in	in	ADP
ajst-29868	30	46	theory	theory	NOUN
ajst-29868	30	47	.	.	PUNCT
ajst-29868	31	1	in	in	ADP
ajst-29868	31	2	addition	addition	NOUN
ajst-29868	31	3	,	,	PUNCT
ajst-29868	31	4	they	they	PRON
ajst-29868	31	5	were	be	AUX
ajst-29868	31	6	the	the	DET
ajst-29868	31	7	first	first	ADJ
ajst-29868	31	8	to	to	PART
ajst-29868	31	9	quantify	quantify	VERB
ajst-29868	31	10	the	the	DET
ajst-29868	31	11	information	information	NOUN
ajst-29868	31	12	loss	loss	NOUN
ajst-29868	31	13	in	in	ADP
ajst-29868	31	14	the	the	DET
ajst-29868	31	15	representation	representation	NOUN
ajst-29868	31	16	space	space	NOUN
ajst-29868	31	17	of	of	ADP
ajst-29868	31	18	deep	deep	ADJ
ajst-29868	31	19	learning[19	learning[19	NOUN
ajst-29868	31	20	]	]	PUNCT
ajst-29868	31	21	,	,	PUNCT
ajst-29868	31	22	providing	provide	VERB
ajst-29868	31	23	a	a	DET
ajst-29868	31	24	new	new	ADJ
ajst-29868	31	25	perspective	perspective	NOUN
ajst-29868	31	26	for	for	ADP
ajst-29868	31	27	understanding	understand	VERB
ajst-29868	31	28	137	137	NUM
ajst-29868	31	29	and	and	CCONJ
ajst-29868	31	30	improving	improve	VERB
ajst-29868	31	31	the	the	DET
ajst-29868	31	32	information	information	NOUN
ajst-29868	31	33	fusion	fusion	NOUN
ajst-29868	31	34	process	process	NOUN
ajst-29868	31	35	in	in	ADP
ajst-29868	31	36	deep	deep	ADJ
ajst-29868	31	37	learning	learning	NOUN
ajst-29868	31	38	models	model	NOUN
ajst-29868	31	39	.	.	PUNCT
ajst-29868	32	1	although	although	SCONJ
ajst-29868	32	2	fuzzy	fuzzy	ADJ
ajst-29868	32	3	logic	logic	NOUN
ajst-29868	32	4	has	have	AUX
ajst-29868	32	5	performed	perform	VERB
ajst-29868	32	6	well	well	ADV
ajst-29868	32	7	in	in	ADP
ajst-29868	32	8	processing	process	VERB
ajst-29868	32	9	multimodal	multimodal	NOUN
ajst-29868	32	10	data	datum	NOUN
ajst-29868	32	11	,	,	PUNCT
ajst-29868	32	12	how	how	SCONJ
ajst-29868	32	13	to	to	PART
ajst-29868	32	14	effectively	effectively	ADV
ajst-29868	32	15	handle	handle	VERB
ajst-29868	32	16	fuzzy	fuzzy	ADJ
ajst-29868	32	17	information	information	NOUN
ajst-29868	32	18	from	from	ADP
ajst-29868	32	19	different	different	ADJ
ajst-29868	32	20	modalities	modality	NOUN
ajst-29868	32	21	in	in	ADP
ajst-29868	32	22	multimodal	multimodal	NOUN
ajst-29868	32	23	data	datum	NOUN
ajst-29868	32	24	fusion	fusion	NOUN
ajst-29868	32	25	is	be	AUX
ajst-29868	32	26	a	a	DET
ajst-29868	32	27	challenge	challenge	NOUN
ajst-29868	32	28	.	.	PUNCT
ajst-29868	33	1	it	it	PRON
ajst-29868	33	2	is	be	AUX
ajst-29868	33	3	necessary	necessary	ADJ
ajst-29868	33	4	to	to	PART
ajst-29868	33	5	study	study	VERB
ajst-29868	33	6	how	how	SCONJ
ajst-29868	33	7	to	to	PART
ajst-29868	33	8	integrate	integrate	VERB
ajst-29868	33	9	various	various	ADJ
ajst-29868	33	10	types	type	NOUN
ajst-29868	33	11	of	of	ADP
ajst-29868	33	12	fuzzy	fuzzy	ADJ
ajst-29868	33	13	information	information	NOUN
ajst-29868	33	14	to	to	PART
ajst-29868	33	15	obtain	obtain	VERB
ajst-29868	33	16	a	a	DET
ajst-29868	33	17	more	more	ADV
ajst-29868	33	18	comprehensive	comprehensive	ADJ
ajst-29868	33	19	data	data	NOUN
ajst-29868	33	20	view	view	NOUN
ajst-29868	33	21	.	.	PUNCT
ajst-29868	34	1	more	more	ADV
ajst-29868	34	2	effective	effective	ADJ
ajst-29868	34	3	algorithms	algorithm	NOUN
ajst-29868	34	4	need	need	VERB
ajst-29868	34	5	to	to	PART
ajst-29868	34	6	be	be	AUX
ajst-29868	34	7	developed	develop	VERB
ajst-29868	34	8	to	to	PART
ajst-29868	34	9	integrate	integrate	VERB
ajst-29868	34	10	fuzzy	fuzzy	ADJ
ajst-29868	34	11	logic	logic	NOUN
ajst-29868	34	12	and	and	CCONJ
ajst-29868	34	13	deep	deep	ADJ
ajst-29868	34	14	learning	learning	NOUN
ajst-29868	34	15	to	to	PART
ajst-29868	34	16	improve	improve	VERB
ajst-29868	34	17	the	the	DET
ajst-29868	34	18	performance	performance	NOUN
ajst-29868	34	19	of	of	ADP
ajst-29868	34	20	data	datum	NOUN
ajst-29868	34	21	fusion	fusion	NOUN
ajst-29868	34	22	.	.	PUNCT
ajst-29868	35	1	at	at	ADP
ajst-29868	35	2	the	the	DET
ajst-29868	35	3	same	same	ADJ
ajst-29868	35	4	time	time	NOUN
ajst-29868	35	5	,	,	PUNCT
ajst-29868	35	6	how	how	SCONJ
ajst-29868	35	7	to	to	PART
ajst-29868	35	8	effectively	effectively	ADV
ajst-29868	35	9	represent	represent	VERB
ajst-29868	35	10	and	and	CCONJ
ajst-29868	35	11	reason	reason	NOUN
ajst-29868	35	12	about	about	ADP
ajst-29868	35	13	fuzzy	fuzzy	ADJ
ajst-29868	35	14	information	information	NOUN
ajst-29868	35	15	is	be	AUX
ajst-29868	35	16	an	an	DET
ajst-29868	35	17	area	area	NOUN
ajst-29868	35	18	that	that	SCONJ
ajst-29868	35	19	few	few	ADJ
ajst-29868	35	20	researchers	researcher	NOUN
ajst-29868	35	21	have	have	AUX
ajst-29868	35	22	ventured	venture	VERB
ajst-29868	35	23	into	into	ADP
ajst-29868	35	24	.	.	PUNCT
ajst-29868	36	1	current	current	ADJ
ajst-29868	36	2	methods	method	NOUN
ajst-29868	36	3	may	may	AUX
ajst-29868	36	4	not	not	PART
ajst-29868	36	5	fully	fully	ADV
ajst-29868	36	6	capture	capture	VERB
ajst-29868	36	7	all	all	DET
ajst-29868	36	8	the	the	DET
ajst-29868	36	9	nuances	nuance	NOUN
ajst-29868	36	10	of	of	ADP
ajst-29868	36	11	fuzzy	fuzzy	ADJ
ajst-29868	36	12	information	information	NOUN
ajst-29868	36	13	,	,	PUNCT
ajst-29868	36	14	and	and	CCONJ
ajst-29868	36	15	more	more	ADV
ajst-29868	36	16	advanced	advanced	ADJ
ajst-29868	36	17	models	model	NOUN
ajst-29868	36	18	are	be	AUX
ajst-29868	36	19	needed	need	VERB
ajst-29868	36	20	to	to	PART
ajst-29868	36	21	improve	improve	VERB
ajst-29868	36	22	the	the	DET
ajst-29868	36	23	expression	expression	NOUN
ajst-29868	36	24	and	and	CCONJ
ajst-29868	36	25	processing	processing	NOUN
ajst-29868	36	26	capabilities	capability	NOUN
ajst-29868	36	27	of	of	ADP
ajst-29868	36	28	fuzzy	fuzzy	ADJ
ajst-29868	36	29	information	information	NOUN
ajst-29868	36	30	.	.	PUNCT
ajst-29868	37	1	this	this	DET
ajst-29868	37	2	study	study	NOUN
ajst-29868	37	3	proposes	propose	VERB
ajst-29868	37	4	an	an	DET
ajst-29868	37	5	innovative	innovative	ADJ
ajst-29868	37	6	data	data	NOUN
ajst-29868	37	7	fusion	fusion	NOUN
ajst-29868	37	8	framework	framework	NOUN
ajst-29868	37	9	aimed	aim	VERB
ajst-29868	37	10	at	at	ADP
ajst-29868	37	11	overcoming	overcome	VERB
ajst-29868	37	12	existing	exist	VERB
ajst-29868	37	13	problems	problem	NOUN
ajst-29868	37	14	and	and	CCONJ
ajst-29868	37	15	providing	provide	VERB
ajst-29868	37	16	more	more	ADV
ajst-29868	37	17	comprehensive	comprehensive	ADJ
ajst-29868	37	18	,	,	PUNCT
ajst-29868	37	19	robust	robust	ADJ
ajst-29868	37	20	,	,	PUNCT
ajst-29868	37	21	and	and	CCONJ
ajst-29868	37	22	efficient	efficient	ADJ
ajst-29868	37	23	solutions	solution	NOUN
ajst-29868	37	24	through	through	ADP
ajst-29868	37	25	the	the	DET
ajst-29868	37	26	following	follow	VERB
ajst-29868	37	27	means	mean	NOUN
ajst-29868	37	28	:	:	PUNCT
ajst-29868	37	29	1	1	NUM
ajst-29868	37	30	)	)	PUNCT
ajst-29868	37	31	innovative	innovative	ADJ
ajst-29868	37	32	combination	combination	NOUN
ajst-29868	37	33	of	of	ADP
ajst-29868	37	34	fusion	fusion	NOUN
ajst-29868	37	35	methods	method	NOUN
ajst-29868	37	36	:	:	PUNCT
ajst-29868	37	37	by	by	ADP
ajst-29868	37	38	combining	combine	VERB
ajst-29868	37	39	ds	ds	ADJ
ajst-29868	37	40	evidence	evidence	NOUN
ajst-29868	37	41	theory	theory	NOUN
ajst-29868	37	42	and	and	CCONJ
ajst-29868	37	43	information	information	NOUN
ajst-29868	37	44	theory	theory	NOUN
ajst-29868	37	45	,	,	PUNCT
ajst-29868	37	46	a	a	DET
ajst-29868	37	47	framework	framework	NOUN
ajst-29868	37	48	capable	capable	ADJ
ajst-29868	37	49	of	of	ADP
ajst-29868	37	50	handling	handle	VERB
ajst-29868	37	51	fuzzy	fuzzy	ADJ
ajst-29868	37	52	data	datum	NOUN
ajst-29868	37	53	is	be	AUX
ajst-29868	37	54	constructed	construct	VERB
ajst-29868	37	55	to	to	PART
ajst-29868	37	56	improve	improve	VERB
ajst-29868	37	57	the	the	DET
ajst-29868	37	58	framework	framework	NOUN
ajst-29868	37	59	's	's	PART
ajst-29868	37	60	ability	ability	NOUN
ajst-29868	37	61	to	to	PART
ajst-29868	37	62	process	process	VERB
ajst-29868	37	63	and	and	CCONJ
ajst-29868	37	64	fuse	fuse	VERB
ajst-29868	37	65	fuzzy	fuzzy	ADJ
ajst-29868	37	66	information	information	NOUN
ajst-29868	37	67	,	,	PUNCT
ajst-29868	37	68	thereby	thereby	ADV
ajst-29868	37	69	extracting	extract	VERB
ajst-29868	37	70	richer	rich	ADJ
ajst-29868	37	71	information	information	NOUN
ajst-29868	37	72	.	.	PUNCT
ajst-29868	38	1	2	2	X
ajst-29868	38	2	)	)	PUNCT
ajst-29868	38	3	application	application	NOUN
ajst-29868	38	4	of	of	ADP
ajst-29868	38	5	bjs	bjs	PROPN
ajst-29868	38	6	divergence	divergence	NOUN
ajst-29868	38	7	:	:	PUNCT
ajst-29868	38	8	the	the	DET
ajst-29868	38	9	introduction	introduction	NOUN
ajst-29868	38	10	of	of	ADP
ajst-29868	38	11	bjs	bjs	PROPN
ajst-29868	38	12	divergence	divergence	ADJ
ajst-29868	38	13	quantifies	quantifie	NOUN
ajst-29868	38	14	uncertainty	uncertainty	NOUN
ajst-29868	38	15	and	and	CCONJ
ajst-29868	38	16	information	information	NOUN
ajst-29868	38	17	loss	loss	NOUN
ajst-29868	38	18	,	,	PUNCT
ajst-29868	38	19	solving	solve	VERB
ajst-29868	38	20	the	the	DET
ajst-29868	38	21	limitations	limitation	NOUN
ajst-29868	38	22	of	of	ADP
ajst-29868	38	23	using	use	VERB
ajst-29868	38	24	kl	kl	PROPN
ajst-29868	38	25	divergence	divergence	NOUN
ajst-29868	38	26	in	in	ADP
ajst-29868	38	27	data	data	NOUN
ajst-29868	38	28	fusion	fusion	NOUN
ajst-29868	38	29	problems	problem	NOUN
ajst-29868	38	30	from	from	ADP
ajst-29868	38	31	an	an	DET
ajst-29868	38	32	information	information	NOUN
ajst-29868	38	33	theory	theory	NOUN
ajst-29868	38	34	perspective	perspective	NOUN
ajst-29868	38	35	when	when	SCONJ
ajst-29868	38	36	dealing	deal	VERB
ajst-29868	38	37	with	with	ADP
ajst-29868	38	38	fuzzy	fuzzy	ADJ
ajst-29868	38	39	data	datum	NOUN
ajst-29868	38	40	.	.	PUNCT
ajst-29868	39	1	it	it	PRON
ajst-29868	39	2	can	can	AUX
ajst-29868	39	3	better	well	ADV
ajst-29868	39	4	handle	handle	VERB
ajst-29868	39	5	uncertainty	uncertainty	NOUN
ajst-29868	39	6	and	and	CCONJ
ajst-29868	39	7	incompleteness	incompleteness	NOUN
ajst-29868	39	8	in	in	ADP
ajst-29868	39	9	probability	probability	NOUN
ajst-29868	39	10	distributions	distribution	NOUN
ajst-29868	39	11	.	.	PUNCT
ajst-29868	40	1	when	when	SCONJ
ajst-29868	40	2	fusing	fuse	VERB
ajst-29868	40	3	fuzzy	fuzzy	ADJ
ajst-29868	40	4	information	information	NOUN
ajst-29868	40	5	,	,	PUNCT
ajst-29868	40	6	bjs	bjs	NOUN
ajst-29868	40	7	divergence	divergence	NOUN
ajst-29868	40	8	can	can	AUX
ajst-29868	40	9	provide	provide	VERB
ajst-29868	40	10	a	a	DET
ajst-29868	40	11	more	more	ADV
ajst-29868	40	12	accurate	accurate	ADJ
ajst-29868	40	13	similarity	similarity	NOUN
ajst-29868	40	14	measure	measure	NOUN
ajst-29868	40	15	.	.	PUNCT
ajst-29868	41	1	in	in	ADP
ajst-29868	41	2	addition	addition	NOUN
ajst-29868	41	3	,	,	PUNCT
ajst-29868	41	4	when	when	SCONJ
ajst-29868	41	5	two	two	NUM
ajst-29868	41	6	probability	probability	NOUN
ajst-29868	41	7	distributions	distribution	NOUN
ajst-29868	41	8	do	do	AUX
ajst-29868	41	9	not	not	PART
ajst-29868	41	10	overlap	overlap	VERB
ajst-29868	41	11	at	at	ADV
ajst-29868	41	12	all	all	ADV
ajst-29868	41	13	,	,	PUNCT
ajst-29868	41	14	kl	kl	PROPN
ajst-29868	41	15	divergence	divergence	NOUN
ajst-29868	41	16	may	may	AUX
ajst-29868	41	17	become	become	VERB
ajst-29868	41	18	meaningless	meaningless	ADJ
ajst-29868	41	19	or	or	CCONJ
ajst-29868	41	20	lead	lead	VERB
ajst-29868	41	21	to	to	ADP
ajst-29868	41	22	the	the	DET
ajst-29868	41	23	disappearance	disappearance	NOUN
ajst-29868	41	24	of	of	ADP
ajst-29868	41	25	gradients	gradient	NOUN
ajst-29868	41	26	,	,	PUNCT
ajst-29868	41	27	and	and	CCONJ
ajst-29868	41	28	bjs	bjs	VERB
ajst-29868	41	29	divergence	divergence	NOUN
ajst-29868	41	30	effectively	effectively	ADV
ajst-29868	41	31	solves	solve	VERB
ajst-29868	41	32	this	this	DET
ajst-29868	41	33	problem	problem	NOUN
ajst-29868	41	34	.	.	PUNCT
ajst-29868	42	1	bjs	bjs	PROPN
ajst-29868	42	2	divergence	divergence	NOUN
ajst-29868	42	3	also	also	ADV
ajst-29868	42	4	has	have	VERB
ajst-29868	42	5	boundedness	boundednes	VERB
ajst-29868	42	6	,	,	PUNCT
ajst-29868	42	7	and	and	CCONJ
ajst-29868	42	8	its	its	PRON
ajst-29868	42	9	value	value	NOUN
ajst-29868	42	10	is	be	AUX
ajst-29868	42	11	always	always	ADV
ajst-29868	42	12	between	between	ADP
ajst-29868	42	13	0	0	NUM
ajst-29868	42	14	and	and	CCONJ
ajst-29868	42	15	1	1	NUM
ajst-29868	42	16	,	,	PUNCT
ajst-29868	42	17	making	make	VERB
ajst-29868	42	18	it	it	PRON
ajst-29868	42	19	more	more	ADV
ajst-29868	42	20	intuitive	intuitive	ADJ
ajst-29868	42	21	and	and	CCONJ
ajst-29868	42	22	easy	easy	ADJ
ajst-29868	42	23	to	to	PART
ajst-29868	42	24	interpret	interpret	VERB
ajst-29868	42	25	in	in	ADP
ajst-29868	42	26	data	data	NOUN
ajst-29868	42	27	fusion	fusion	NOUN
ajst-29868	42	28	models	model	NOUN
ajst-29868	42	29	.	.	PUNCT
ajst-29868	43	1	3	3	X
ajst-29868	43	2	)	)	PUNCT
ajst-29868	43	3	algorithm	algorithm	NOUN
ajst-29868	43	4	design	design	NOUN
ajst-29868	43	5	and	and	CCONJ
ajst-29868	43	6	performance	performance	NOUN
ajst-29868	43	7	improvement	improvement	NOUN
ajst-29868	43	8	:	:	PUNCT
ajst-29868	43	9	an	an	DET
ajst-29868	43	10	effective	effective	ADJ
ajst-29868	43	11	label	label	NOUN
ajst-29868	43	12	set	set	VERB
ajst-29868	43	13	coverage	coverage	NOUN
ajst-29868	43	14	algorithm	algorithm	NOUN
ajst-29868	43	15	and	and	CCONJ
ajst-29868	43	16	a	a	DET
ajst-29868	43	17	classifier	classifier	NOUN
ajst-29868	43	18	construction	construction	NOUN
ajst-29868	43	19	method	method	NOUN
ajst-29868	43	20	based	base	VERB
ajst-29868	43	21	on	on	ADP
ajst-29868	43	22	ds	ds	ADJ
ajst-29868	43	23	evidence	evidence	NOUN
ajst-29868	43	24	theory	theory	NOUN
ajst-29868	43	25	are	be	AUX
ajst-29868	43	26	proposed	propose	VERB
ajst-29868	43	27	,	,	PUNCT
ajst-29868	43	28	and	and	CCONJ
ajst-29868	43	29	comprehensive	comprehensive	ADJ
ajst-29868	43	30	understanding	understanding	NOUN
ajst-29868	43	31	of	of	ADP
ajst-29868	43	32	data	datum	NOUN
ajst-29868	43	33	is	be	AUX
ajst-29868	43	34	considered	consider	VERB
ajst-29868	43	35	,	,	PUNCT
ajst-29868	43	36	taking	take	VERB
ajst-29868	43	37	into	into	ADP
ajst-29868	43	38	account	account	NOUN
ajst-29868	43	39	the	the	DET
ajst-29868	43	40	complementarity	complementarity	NOUN
ajst-29868	43	41	between	between	ADP
ajst-29868	43	42	modalities	modality	NOUN
ajst-29868	43	43	to	to	PART
ajst-29868	43	44	reduce	reduce	VERB
ajst-29868	43	45	computational	computational	ADJ
ajst-29868	43	46	complexity	complexity	NOUN
ajst-29868	43	47	and	and	CCONJ
ajst-29868	43	48	improve	improve	VERB
ajst-29868	43	49	fusion	fusion	NOUN
ajst-29868	43	50	performance	performance	NOUN
ajst-29868	43	51	.	.	PUNCT
ajst-29868	44	1	through	through	ADP
ajst-29868	44	2	the	the	DET
ajst-29868	44	3	above	above	ADJ
ajst-29868	44	4	design	design	NOUN
ajst-29868	44	5	,	,	PUNCT
ajst-29868	44	6	this	this	DET
ajst-29868	44	7	study	study	NOUN
ajst-29868	44	8	not	not	PART
ajst-29868	44	9	only	only	ADV
ajst-29868	44	10	promotes	promote	VERB
ajst-29868	44	11	the	the	DET
ajst-29868	44	12	theoretical	theoretical	ADJ
ajst-29868	44	13	development	development	NOUN
ajst-29868	44	14	of	of	ADP
ajst-29868	44	15	data	datum	NOUN
ajst-29868	44	16	fusion	fusion	NOUN
ajst-29868	44	17	technology	technology	NOUN
ajst-29868	44	18	but	but	CCONJ
ajst-29868	44	19	also	also	ADV
ajst-29868	44	20	provides	provide	VERB
ajst-29868	44	21	new	new	ADJ
ajst-29868	44	22	tools	tool	NOUN
ajst-29868	44	23	and	and	CCONJ
ajst-29868	44	24	methods	method	NOUN
ajst-29868	44	25	for	for	ADP
ajst-29868	44	26	data	datum	NOUN
ajst-29868	44	27	processing	processing	NOUN
ajst-29868	44	28	in	in	ADP
ajst-29868	44	29	practical	practical	ADJ
ajst-29868	44	30	applications	application	NOUN
ajst-29868	44	31	.	.	PUNCT
ajst-29868	45	1	2	2	X
ajst-29868	45	2	.	.	X
ajst-29868	45	3	related	relate	VERB
ajst-29868	45	4	work	work	NOUN
ajst-29868	45	5	1	1	NUM
ajst-29868	45	6	)	)	PUNCT
ajst-29868	45	7	dempster	dempster	PROPN
ajst-29868	45	8	-	-	PUNCT
ajst-29868	45	9	shafer	shafer	PROPN
ajst-29868	45	10	evidence	evidence	NOUN
ajst-29868	45	11	theory	theory	NOUN
ajst-29868	45	12	(	(	PUNCT
ajst-29868	45	13	dset	dset	NOUN
ajst-29868	45	14	):	):	PUNCT
ajst-29868	45	15	dset	dset	PROPN
ajst-29868	45	16	is	be	AUX
ajst-29868	45	17	a	a	DET
ajst-29868	45	18	mathematical	mathematical	ADJ
ajst-29868	45	19	framework	framework	NOUN
ajst-29868	45	20	for	for	ADP
ajst-29868	45	21	representing	represent	VERB
ajst-29868	45	22	and	and	CCONJ
ajst-29868	45	23	processing	process	VERB
ajst-29868	45	24	uncertain	uncertain	ADJ
ajst-29868	45	25	information	information	NOUN
ajst-29868	45	26	.	.	PUNCT
ajst-29868	46	1	it	it	PRON
ajst-29868	46	2	quantifies	quantify	VERB
ajst-29868	46	3	uncertainty	uncertainty	NOUN
ajst-29868	46	4	in	in	ADP
ajst-29868	46	5	the	the	DET
ajst-29868	46	6	sample	sample	NOUN
ajst-29868	46	7	space	space	NOUN
ajst-29868	46	8	through	through	ADP
ajst-29868	46	9	basic	basic	ADJ
ajst-29868	46	10	probability	probability	NOUN
ajst-29868	46	11	assignment	assignment	NOUN
ajst-29868	46	12	(	(	PUNCT
ajst-29868	46	13	bpa	bpa	NOUN
ajst-29868	46	14	)	)	PUNCT
ajst-29868	46	15	.	.	PUNCT
ajst-29868	47	1	evidence	evidence	NOUN
ajst-29868	47	2	theory	theory	NOUN
ajst-29868	47	3	is	be	AUX
ajst-29868	47	4	a	a	DET
ajst-29868	47	5	general	general	ADJ
ajst-29868	47	6	extension	extension	NOUN
ajst-29868	47	7	of	of	ADP
ajst-29868	47	8	bayesian	bayesian	NOUN
ajst-29868	47	9	theory	theory	NOUN
ajst-29868	47	10	.	.	PUNCT
ajst-29868	48	1	evidence	evidence	NOUN
ajst-29868	48	2	theory	theory	NOUN
ajst-29868	48	3	provides	provide	VERB
ajst-29868	48	4	an	an	DET
ajst-29868	48	5	effective	effective	ADJ
ajst-29868	48	6	method	method	NOUN
ajst-29868	48	7	for	for	ADP
ajst-29868	48	8	fusing	fuse	VERB
ajst-29868	48	9	evidence	evidence	NOUN
ajst-29868	48	10	from	from	ADP
ajst-29868	48	11	different	different	ADJ
ajst-29868	48	12	sources	source	NOUN
ajst-29868	48	13	.	.	PUNCT
ajst-29868	49	1	the	the	DET
ajst-29868	49	2	main	main	ADJ
ajst-29868	49	3	advantage	advantage	NOUN
ajst-29868	49	4	of	of	ADP
ajst-29868	49	5	evidence	evidence	NOUN
ajst-29868	49	6	theory	theory	NOUN
ajst-29868	49	7	over	over	ADP
ajst-29868	49	8	bayesian	bayesian	NOUN
ajst-29868	49	9	probability	probability	NOUN
ajst-29868	49	10	theory	theory	NOUN
ajst-29868	49	11	is	be	AUX
ajst-29868	49	12	that	that	SCONJ
ajst-29868	49	13	it	it	PRON
ajst-29868	49	14	can	can	AUX
ajst-29868	49	15	not	not	PART
ajst-29868	49	16	only	only	ADV
ajst-29868	49	17	assign	assign	VERB
ajst-29868	49	18	mass	mass	NOUN
ajst-29868	49	19	to	to	ADP
ajst-29868	49	20	hypotheses	hypothesis	NOUN
ajst-29868	49	21	corresponding	correspond	VERB
ajst-29868	49	22	to	to	ADP
ajst-29868	49	23	individual	individual	ADJ
ajst-29868	49	24	classes	class	NOUN
ajst-29868	49	25	but	but	CCONJ
ajst-29868	49	26	also	also	ADV
ajst-29868	49	27	explicitly	explicitly	ADV
ajst-29868	49	28	represent	represent	VERB
ajst-29868	49	29	the	the	DET
ajst-29868	49	30	union	union	NOUN
ajst-29868	49	31	of	of	ADP
ajst-29868	49	32	these	these	DET
ajst-29868	49	33	classes	class	NOUN
ajst-29868	49	34	as	as	ADV
ajst-29868	49	35	unknown	unknown	ADJ
ajst-29868	49	36	.	.	PUNCT
ajst-29868	50	1	the	the	DET
ajst-29868	50	2	trust	trust	NOUN
ajst-29868	50	3	function	function	NOUN
ajst-29868	50	4	provides	provide	VERB
ajst-29868	50	5	a	a	DET
ajst-29868	50	6	more	more	ADV
ajst-29868	50	7	flexible	flexible	ADJ
ajst-29868	50	8	model	model	NOUN
ajst-29868	50	9	for	for	ADP
ajst-29868	50	10	representing	represent	VERB
ajst-29868	50	11	uncertainty	uncertainty	NOUN
ajst-29868	50	12	than	than	ADP
ajst-29868	50	13	probability	probability	NOUN
ajst-29868	50	14	distribution	distribution	NOUN
ajst-29868	50	15	.	.	PUNCT
ajst-29868	51	1	in	in	ADP
ajst-29868	51	2	bayesian	bayesian	NOUN
ajst-29868	51	3	probability	probability	NOUN
ajst-29868	51	4	theory	theory	NOUN
ajst-29868	51	5	,	,	PUNCT
ajst-29868	51	6	all	all	DET
ajst-29868	51	7	prior	prior	ADJ
ajst-29868	51	8	probabilities	probability	NOUN
ajst-29868	51	9	must	must	AUX
ajst-29868	51	10	be	be	AUX
ajst-29868	51	11	given	give	VERB
ajst-29868	51	12	before	before	ADP
ajst-29868	51	13	the	the	DET
ajst-29868	51	14	fusion	fusion	NOUN
ajst-29868	51	15	process	process	NOUN
ajst-29868	51	16	,	,	PUNCT
ajst-29868	51	17	while	while	SCONJ
ajst-29868	51	18	evidence	evidence	NOUN
ajst-29868	51	19	theory	theory	NOUN
ajst-29868	51	20	can	can	AUX
ajst-29868	51	21	start	start	VERB
ajst-29868	51	22	from	from	ADP
ajst-29868	51	23	complete	complete	ADJ
ajst-29868	51	24	ignorance	ignorance	NOUN
ajst-29868	51	25	.	.	PUNCT
ajst-29868	52	1	the	the	DET
ajst-29868	52	2	prior	prior	ADJ
ajst-29868	52	3	information	information	NOUN
ajst-29868	52	4	required	require	VERB
ajst-29868	52	5	by	by	ADP
ajst-29868	52	6	evidence	evidence	NOUN
ajst-29868	52	7	theory	theory	NOUN
ajst-29868	52	8	is	be	AUX
ajst-29868	52	9	easier	easy	ADJ
ajst-29868	52	10	to	to	PART
ajst-29868	52	11	obtain	obtain	VERB
ajst-29868	52	12	than	than	ADP
ajst-29868	52	13	that	that	PRON
ajst-29868	52	14	of	of	ADP
ajst-29868	52	15	bayesian	bayesian	NOUN
ajst-29868	52	16	probability	probability	NOUN
ajst-29868	52	17	theory	theory	NOUN
ajst-29868	52	18	.	.	PUNCT
ajst-29868	53	1	in	in	ADP
ajst-29868	53	2	evidence	evidence	NOUN
ajst-29868	53	3	theory	theory	NOUN
ajst-29868	53	4	,	,	PUNCT
ajst-29868	53	5	the	the	DET
ajst-29868	53	6	mass	mass	NOUN
ajst-29868	53	7	function	function	NOUN
ajst-29868	53	8	,	,	PUNCT
ajst-29868	53	9	also	also	ADV
ajst-29868	53	10	known	know	VERB
ajst-29868	53	11	as	as	ADP
ajst-29868	53	12	basic	basic	ADJ
ajst-29868	53	13	probability	probability	NOUN
ajst-29868	53	14	assignment	assignment	NOUN
ajst-29868	53	15	,	,	PUNCT
ajst-29868	53	16	abbreviated	abbreviate	VERB
ajst-29868	53	17	as	as	ADP
ajst-29868	53	18	bpa	bpa	NOUN
ajst-29868	53	19	.	.	PUNCT
ajst-29868	54	1	if	if	SCONJ
ajst-29868	54	2	𝑚	𝑚	PROPN
ajst-29868	54	3	𝐴	𝐴	PROPN
ajst-29868	54	4	>	>	PROPN
ajst-29868	54	5	0	0	PROPN
ajst-29868	54	6	,	,	PUNCT
ajst-29868	54	7	then	then	ADV
ajst-29868	54	8	a	a	PRON
ajst-29868	54	9	is	be	AUX
ajst-29868	54	10	a	a	DET
ajst-29868	54	11	focal	focal	ADJ
ajst-29868	54	12	element	element	NOUN
ajst-29868	54	13	.	.	PUNCT
ajst-29868	55	1	the	the	DET
ajst-29868	55	2	union	union	NOUN
ajst-29868	55	3	of	of	ADP
ajst-29868	55	4	focal	focal	ADJ
ajst-29868	55	5	elements	element	NOUN
ajst-29868	55	6	is	be	AUX
ajst-29868	55	7	called	call	VERB
ajst-29868	55	8	the	the	DET
ajst-29868	55	9	core	core	NOUN
ajst-29868	55	10	of	of	ADP
ajst-29868	55	11	the	the	DET
ajst-29868	55	12	mass	mass	NOUN
ajst-29868	55	13	function	function	NOUN
ajst-29868	55	14	.	.	PUNCT
ajst-29868	56	1	a	a	DET
ajst-29868	56	2	piece	piece	NOUN
ajst-29868	56	3	of	of	ADP
ajst-29868	56	4	evidence	evidence	NOUN
ajst-29868	56	5	's	's	PART
ajst-29868	56	6	bpa	bpa	NOUN
ajst-29868	56	7	reflects	reflect	VERB
ajst-29868	56	8	the	the	DET
ajst-29868	56	9	degree	degree	NOUN
ajst-29868	56	10	of	of	ADP
ajst-29868	56	11	support	support	NOUN
ajst-29868	56	12	for	for	ADP
ajst-29868	56	13	proposition	proposition	NOUN
ajst-29868	56	14	a	a	PRON
ajst-29868	56	15	in	in	ADP
ajst-29868	56	16	the	the	DET
ajst-29868	56	17	recognition	recognition	NOUN
ajst-29868	56	18	framework	framework	NOUN
ajst-29868	56	19	.	.	PUNCT
ajst-29868	57	1	assuming	assume	VERB
ajst-29868	57	2	there	there	PRON
ajst-29868	57	3	are	be	VERB
ajst-29868	57	4	n	n	PRON
ajst-29868	57	5	bpas	bpas	NOUN
ajst-29868	57	6	on	on	ADP
ajst-29868	57	7	the	the	DET
ajst-29868	57	8	recognition	recognition	NOUN
ajst-29868	57	9	framework	framework	NOUN
ajst-29868	57	10	,	,	PUNCT
ajst-29868	57	11	denoted	denote	VERB
ajst-29868	57	12	as	as	ADP
ajst-29868	57	13	:	:	PUNCT
ajst-29868	57	14	𝑚	𝑚	PROPN
ajst-29868	57	15	𝐴	𝐴	PROPN
ajst-29868	57	16	∑	∑	PROPN
ajst-29868	57	17	∏	∏	PROPN
ajst-29868	57	18	𝑚	𝑚	X
ajst-29868	57	19	𝐴⋂	𝐴⋂	PROPN
ajst-29868	57	20	,	,	PUNCT
ajst-29868	57	21	∈	∈	PROPN
ajst-29868	57	22	,	,	PUNCT
ajst-29868	57	23	𝐴	𝐴	PROPN
ajst-29868	57	24	∅	∅	NOUN
ajst-29868	57	25	0	0	NUM
ajst-29868	57	26	,	,	PUNCT
ajst-29868	57	27	𝐴	𝐴	PROPN
ajst-29868	57	28	∅	∅	NOUN
ajst-29868	57	29	(	(	PUNCT
ajst-29868	57	30	1	1	X
ajst-29868	57	31	)	)	PUNCT
ajst-29868	57	32	𝐾	𝐾	PROPN
ajst-29868	57	33	∑	∑	PUNCT
ajst-29868	57	34	∏	∏	PROPN
ajst-29868	57	35	𝑚	𝑚	X
ajst-29868	57	36	𝐴⋂	𝐴⋂	PROPN
ajst-29868	57	37	,	,	PUNCT
ajst-29868	57	38	∈	∈	PROPN
ajst-29868	57	39	(	(	PUNCT
ajst-29868	57	40	2	2	NUM
ajst-29868	57	41	)	)	PUNCT
ajst-29868	57	42	2	2	NUM
ajst-29868	57	43	)	)	PUNCT
ajst-29868	57	44	information	information	NOUN
ajst-29868	57	45	theory	theory	NOUN
ajst-29868	57	46	basics	basic	NOUN
ajst-29868	57	47	information	information	NOUN
ajst-29868	57	48	entropy	entropy	NOUN
ajst-29868	57	49	represents	represent	VERB
ajst-29868	57	50	the	the	DET
ajst-29868	57	51	uncertainty	uncertainty	NOUN
ajst-29868	57	52	of	of	ADP
ajst-29868	57	53	information	information	NOUN
ajst-29868	57	54	,	,	PUNCT
ajst-29868	57	55	𝐻	𝐻	PROPN
ajst-29868	57	56	𝑥	𝑥	SYM
ajst-29868	57	57	∑	∑	PUNCT
ajst-29868	57	58	𝑝	𝑝	NOUN
ajst-29868	57	59	𝑥	𝑥	NOUN
ajst-29868	57	60	𝑙𝑜𝑔𝑝	𝑙𝑜𝑔𝑝	ADV
ajst-29868	57	61	𝑥	𝑥	INTJ
ajst-29868	57	62	,	,	PUNCT
ajst-29868	57	63	where	where	SCONJ
ajst-29868	57	64	𝑝	𝑝	NOUN
ajst-29868	57	65	𝑥	𝑥	PROPN
ajst-29868	57	66	represents	represent	VERB
ajst-29868	57	67	the	the	DET
ajst-29868	57	68	probability	probability	NOUN
ajst-29868	57	69	of	of	ADP
ajst-29868	57	70	event	event	NOUN
ajst-29868	57	71	𝑥	𝑥	PRON
ajst-29868	57	72	occurring	occur	VERB
ajst-29868	57	73	.	.	PUNCT
ajst-29868	58	1	conditional	conditional	ADJ
ajst-29868	58	2	entropy	entropy	PROPN
ajst-29868	58	3	represents	represent	VERB
ajst-29868	58	4	the	the	DET
ajst-29868	58	5	uncertainty	uncertainty	NOUN
ajst-29868	58	6	of	of	ADP
ajst-29868	58	7	random	random	ADJ
ajst-29868	58	8	variable	variable	NOUN
ajst-29868	58	9	x	x	X
ajst-29868	58	10	under	under	ADP
ajst-29868	58	11	the	the	DET
ajst-29868	58	12	condition	condition	NOUN
ajst-29868	58	13	that	that	SCONJ
ajst-29868	58	14	random	random	ADJ
ajst-29868	58	15	variable	variable	NOUN
ajst-29868	58	16	y	y	PROPN
ajst-29868	58	17	is	be	AUX
ajst-29868	58	18	known	know	VERB
ajst-29868	58	19	.	.	PUNCT
ajst-29868	59	1	𝐻	𝐻	PRON
ajst-29868	59	2	𝑋|𝑌	𝑋|𝑌	VERB
ajst-29868	59	3	∑	∑	PROPN
ajst-29868	59	4	𝑝	𝑝	PROPN
ajst-29868	59	5	𝑥	𝑥	PROPN
ajst-29868	59	6	,	,	PUNCT
ajst-29868	59	7	𝑦	𝑦	PRON
ajst-29868	59	8	log	log	VERB
ajst-29868	59	9	𝑝	𝑝	DET
ajst-29868	59	10	𝑥|𝑦	𝑥|𝑦	NOUN
ajst-29868	59	11	,	,	PUNCT
ajst-29868	59	12	.	.	PUNCT
ajst-29868	60	1	when	when	SCONJ
ajst-29868	60	2	an	an	DET
ajst-29868	60	3	observation	observation	NOUN
ajst-29868	60	4	sample	sample	NOUN
ajst-29868	60	5	ci	ci	NOUN
ajst-29868	60	6	of	of	ADP
ajst-29868	60	7	an	an	DET
ajst-29868	60	8	entity	entity	NOUN
ajst-29868	60	9	𝑒𝑖	𝑒𝑖	NOUN
ajst-29868	60	10	has	have	VERB
ajst-29868	60	11	the	the	DET
ajst-29868	60	12	same	same	ADJ
ajst-29868	60	13	features	feature	NOUN
ajst-29868	60	14	and	and	CCONJ
ajst-29868	60	15	labels	label	NOUN
ajst-29868	60	16	as	as	ADP
ajst-29868	60	17	another	another	DET
ajst-29868	60	18	observation	observation	NOUN
ajst-29868	60	19	𝑐𝑗	𝑐𝑗	ADP
ajst-29868	60	20	,	,	PUNCT
ajst-29868	60	21	it	it	PRON
ajst-29868	60	22	is	be	AUX
ajst-29868	60	23	called	call	VERB
ajst-29868	60	24	a	a	DET
ajst-29868	60	25	consistent	consistent	ADJ
ajst-29868	60	26	sample	sample	NOUN
ajst-29868	60	27	.	.	PUNCT
ajst-29868	61	1	consistent	consistent	ADJ
ajst-29868	61	2	samples	sample	NOUN
ajst-29868	61	3	can	can	AUX
ajst-29868	61	4	increase	increase	VERB
ajst-29868	61	5	the	the	DET
ajst-29868	61	6	statistical	statistical	ADJ
ajst-29868	61	7	belief	belief	NOUN
ajst-29868	61	8	of	of	ADP
ajst-29868	61	9	the	the	DET
ajst-29868	61	10	model	model	NOUN
ajst-29868	61	11	and	and	CCONJ
ajst-29868	61	12	reduce	reduce	VERB
ajst-29868	61	13	the	the	DET
ajst-29868	61	14	model	model	NOUN
ajst-29868	61	15	's	's	PART
ajst-29868	61	16	belief	belief	NOUN
ajst-29868	61	17	entropy	entropy	NOUN
ajst-29868	61	18	.	.	PUNCT
ajst-29868	62	1	when	when	SCONJ
ajst-29868	62	2	an	an	DET
ajst-29868	62	3	observation	observation	NOUN
ajst-29868	62	4	sample	sample	NOUN
ajst-29868	62	5	ci	ci	NOUN
ajst-29868	62	6	of	of	ADP
ajst-29868	62	7	an	an	DET
ajst-29868	62	8	entity	entity	NOUN
ajst-29868	62	9	𝑒𝑖	𝑒𝑖	NOUN
ajst-29868	62	10	has	have	VERB
ajst-29868	62	11	different	different	ADJ
ajst-29868	62	12	features	feature	NOUN
ajst-29868	62	13	but	but	CCONJ
ajst-29868	62	14	the	the	DET
ajst-29868	62	15	same	same	ADJ
ajst-29868	62	16	label	label	NOUN
ajst-29868	62	17	as	as	ADP
ajst-29868	62	18	another	another	DET
ajst-29868	62	19	observation	observation	NOUN
ajst-29868	62	20	𝑐𝑗	𝑐𝑗	INTJ
ajst-29868	62	21	,	,	PUNCT
ajst-29868	62	22	it	it	PRON
ajst-29868	62	23	is	be	AUX
ajst-29868	62	24	called	call	VERB
ajst-29868	62	25	a	a	DET
ajst-29868	62	26	contradictory	contradictory	ADJ
ajst-29868	62	27	sample	sample	NOUN
ajst-29868	62	28	.	.	PUNCT
ajst-29868	63	1	contradictory	contradictory	ADJ
ajst-29868	63	2	samples	sample	NOUN
ajst-29868	63	3	can	can	AUX
ajst-29868	63	4	reduce	reduce	VERB
ajst-29868	63	5	the	the	DET
ajst-29868	63	6	statistical	statistical	ADJ
ajst-29868	63	7	belief	belief	NOUN
ajst-29868	63	8	of	of	ADP
ajst-29868	63	9	the	the	DET
ajst-29868	63	10	model	model	NOUN
ajst-29868	63	11	and	and	CCONJ
ajst-29868	63	12	increase	increase	VERB
ajst-29868	63	13	the	the	DET
ajst-29868	63	14	model	model	NOUN
ajst-29868	63	15	's	's	PART
ajst-29868	63	16	belief	belief	NOUN
ajst-29868	63	17	entropy	entropy	NOUN
ajst-29868	63	18	.	.	PUNCT
ajst-29868	64	1	contradictory	contradictory	ADJ
ajst-29868	64	2	samples	sample	NOUN
ajst-29868	64	3	may	may	AUX
ajst-29868	64	4	come	come	VERB
ajst-29868	64	5	from	from	ADP
ajst-29868	64	6	noisy	noisy	ADJ
ajst-29868	64	7	data	datum	NOUN
ajst-29868	64	8	and	and	CCONJ
ajst-29868	64	9	partially	partially	ADV
ajst-29868	64	10	observable	observable	ADJ
ajst-29868	64	11	data	datum	NOUN
ajst-29868	64	12	.	.	PUNCT
ajst-29868	65	1	to	to	PART
ajst-29868	65	2	address	address	VERB
ajst-29868	65	3	the	the	DET
ajst-29868	65	4	uncertainty	uncertainty	NOUN
ajst-29868	65	5	of	of	ADP
ajst-29868	65	6	contradictory	contradictory	ADJ
ajst-29868	65	7	samples	sample	NOUN
ajst-29868	65	8	,	,	PUNCT
ajst-29868	65	9	a	a	DET
ajst-29868	65	10	direct	direct	ADJ
ajst-29868	65	11	method	method	NOUN
ajst-29868	65	12	can	can	AUX
ajst-29868	65	13	be	be	AUX
ajst-29868	65	14	adopted	adopt	VERB
ajst-29868	65	15	to	to	PART
ajst-29868	65	16	extend	extend	VERB
ajst-29868	65	17	the	the	DET
ajst-29868	65	18	observation	observation	NOUN
ajst-29868	65	19	dimension	dimension	NOUN
ajst-29868	65	20	,	,	PUNCT
ajst-29868	65	21	including	include	VERB
ajst-29868	65	22	adding	add	VERB
ajst-29868	65	23	more	more	ADV
ajst-29868	65	24	observable	observable	ADJ
ajst-29868	65	25	modal	modal	ADJ
ajst-29868	65	26	channels	channel	NOUN
ajst-29868	65	27	to	to	PART
ajst-29868	65	28	reduce	reduce	VERB
ajst-29868	65	29	model	model	NOUN
ajst-29868	65	30	belief	belief	NOUN
ajst-29868	65	31	entropy	entropy	NOUN
ajst-29868	65	32	and	and	CCONJ
ajst-29868	65	33	minimum	minimum	ADJ
ajst-29868	65	34	model	model	NOUN
ajst-29868	65	35	accuracy	accuracy	NOUN
ajst-29868	65	36	entropy	entropy	PROPN
ajst-29868	65	37	.	.	PUNCT
ajst-29868	66	1	bhattacharyya	bhattacharyya	PROPN
ajst-29868	66	2	jensen	jensen	PROPN
ajst-29868	66	3	-	-	PUNCT
ajst-29868	66	4	shannon	shannon	PROPN
ajst-29868	66	5	divergence	divergence	NOUN
ajst-29868	66	6	is	be	AUX
ajst-29868	66	7	a	a	DET
ajst-29868	66	8	method	method	NOUN
ajst-29868	66	9	for	for	ADP
ajst-29868	66	10	measuring	measure	VERB
ajst-29868	66	11	the	the	DET
ajst-29868	66	12	difference	difference	NOUN
ajst-29868	66	13	between	between	ADP
ajst-29868	66	14	two	two	NUM
ajst-29868	66	15	probability	probability	NOUN
ajst-29868	66	16	distributions	distribution	NOUN
ajst-29868	66	17	.	.	PUNCT
ajst-29868	67	1	it	it	PRON
ajst-29868	67	2	combines	combine	VERB
ajst-29868	67	3	the	the	DET
ajst-29868	67	4	characteristics	characteristic	NOUN
ajst-29868	67	5	of	of	ADP
ajst-29868	67	6	jensenshannon	jensenshannon	ADJ
ajst-29868	67	7	divergence	divergence	NOUN
ajst-29868	67	8	and	and	CCONJ
ajst-29868	67	9	bhattacharyya	bhattacharyya	ADJ
ajst-29868	67	10	distance	distance	NOUN
ajst-29868	67	11	,	,	PUNCT
ajst-29868	67	12	which	which	PRON
ajst-29868	67	13	can	can	AUX
ajst-29868	67	14	better	well	ADV
ajst-29868	67	15	reflect	reflect	VERB
ajst-29868	67	16	the	the	DET
ajst-29868	67	17	similarity	similarity	NOUN
ajst-29868	67	18	and	and	CCONJ
ajst-29868	67	19	difference	difference	NOUN
ajst-29868	67	20	between	between	ADP
ajst-29868	67	21	probability	probability	NOUN
ajst-29868	67	22	distributions	distribution	NOUN
ajst-29868	67	23	.	.	PUNCT
ajst-29868	68	1	𝐵𝐽𝑆	𝐵𝐽𝑆	PROPN
ajst-29868	68	2	𝑃||𝑄	𝑃||𝑄	VERB
ajst-29868	68	3	𝐵𝐽𝑆	𝐵𝐽𝑆	PROPN
ajst-29868	68	4	𝑄||𝑃	𝑄||𝑃	NOUN
ajst-29868	68	5	(	(	PUNCT
ajst-29868	68	6	3	3	X
ajst-29868	68	7	)	)	PUNCT
ajst-29868	68	8	𝐵𝐽𝑆	𝐵𝐽𝑆	PROPN
ajst-29868	68	9	𝑃	𝑃	PROPN
ajst-29868	68	10	|𝑄	|𝑄	PUNCT
ajst-29868	68	11	𝑓𝑟𝑎𝑐	𝑓𝑟𝑎𝑐	NOUN
ajst-29868	68	12	1	1	NUM
ajst-29868	68	13	2	2	NUM
ajst-29868	68	14	𝐻	𝐻	NOUN
ajst-29868	68	15	𝑃	𝑃	NOUN
ajst-29868	68	16	,	,	PUNCT
ajst-29868	68	17	𝑄	𝑄	PROPN
ajst-29868	68	18	𝐻	𝐻	PROPN
ajst-29868	68	19	𝑄	𝑄	PROPN
ajst-29868	68	20	,	,	PUNCT
ajst-29868	68	21	𝑃	𝑃	NOUN
ajst-29868	68	22	(	(	PUNCT
ajst-29868	68	23	4	4	NUM
ajst-29868	68	24	)	)	PUNCT
ajst-29868	68	25	where	where	SCONJ
ajst-29868	68	26	𝐻	𝐻	PROPN
ajst-29868	68	27	𝑃	𝑃	VERB
ajst-29868	68	28	,	,	PUNCT
ajst-29868	68	29	𝑄	𝑄	PRON
ajst-29868	68	30	represents	represent	VERB
ajst-29868	68	31	the	the	DET
ajst-29868	68	32	joint	joint	ADJ
ajst-29868	68	33	entropy	entropy	NOUN
ajst-29868	68	34	.	.	PUNCT
ajst-29868	69	1	comparison	comparison	NOUN
ajst-29868	69	2	of	of	ADP
ajst-29868	69	3	bjs	bjs	PROPN
ajst-29868	69	4	divergence	divergence	NOUN
ajst-29868	69	5	and	and	CCONJ
ajst-29868	69	6	kl	kl	NOUN
ajst-29868	69	7	divergence	divergence	NOUN
ajst-29868	69	8	:	:	PUNCT
ajst-29868	69	9	kl	kl	NOUN
ajst-29868	69	10	divergence	divergence	NOUN
ajst-29868	69	11	is	be	AUX
ajst-29868	69	12	another	another	DET
ajst-29868	69	13	method	method	NOUN
ajst-29868	69	14	for	for	ADP
ajst-29868	69	15	measuring	measure	VERB
ajst-29868	69	16	the	the	DET
ajst-29868	69	17	difference	difference	NOUN
ajst-29868	69	18	between	between	ADP
ajst-29868	69	19	two	two	NUM
ajst-29868	69	20	probability	probability	NOUN
ajst-29868	69	21	distributions	distribution	NOUN
ajst-29868	69	22	,	,	PUNCT
ajst-29868	69	23	but	but	CCONJ
ajst-29868	69	24	it	it	PRON
ajst-29868	69	25	does	do	AUX
ajst-29868	69	26	not	not	PART
ajst-29868	69	27	satisfy	satisfy	VERB
ajst-29868	69	28	symmetry	symmetry	NOUN
ajst-29868	69	29	.	.	PUNCT
ajst-29868	70	1	bjs	bjs	PROPN
ajst-29868	70	2	divergence	divergence	NOUN
ajst-29868	70	3	,	,	PUNCT
ajst-29868	70	4	as	as	ADP
ajst-29868	70	5	a	a	DET
ajst-29868	70	6	symmetric	symmetric	ADJ
ajst-29868	70	7	divergence	divergence	NOUN
ajst-29868	70	8	,	,	PUNCT
ajst-29868	70	9	can	can	AUX
ajst-29868	70	10	more	more	ADV
ajst-29868	70	11	fairly	fairly	ADV
ajst-29868	70	12	reflect	reflect	VERB
ajst-29868	70	13	the	the	DET
ajst-29868	70	14	difference	difference	NOUN
ajst-29868	70	15	between	between	ADP
ajst-29868	70	16	two	two	NUM
ajst-29868	70	17	probability	probability	NOUN
ajst-29868	70	18	distributions	distribution	NOUN
ajst-29868	70	19	.	.	PUNCT
ajst-29868	71	1	especially	especially	ADV
ajst-29868	71	2	in	in	ADP
ajst-29868	71	3	data	datum	NOUN
ajst-29868	71	4	fusion	fusion	NOUN
ajst-29868	71	5	from	from	ADP
ajst-29868	71	6	an	an	DET
ajst-29868	71	7	information	information	NOUN
ajst-29868	71	8	theory	theory	NOUN
ajst-29868	71	9	perspective	perspective	NOUN
ajst-29868	71	10	,	,	PUNCT
ajst-29868	71	11	bjs	bjs	PROPN
ajst-29868	71	12	divergence	divergence	NOUN
ajst-29868	71	13	provides	provide	VERB
ajst-29868	71	14	an	an	DET
ajst-29868	71	15	effective	effective	ADJ
ajst-29868	71	16	means	mean	NOUN
ajst-29868	71	17	to	to	PART
ajst-29868	71	18	balance	balance	VERB
ajst-29868	71	19	accuracy	accuracy	NOUN
ajst-29868	71	20	and	and	CCONJ
ajst-29868	71	21	fuzziness	fuzziness	NOUN
ajst-29868	71	22	.	.	PUNCT
ajst-29868	72	1	𝐷	𝐷	NOUN
ajst-29868	72	2	_	_	PUNCT
ajst-29868	73	1	𝐾𝐿	𝐾𝐿	PROPN
ajst-29868	73	2	𝑃||𝑄	𝑃||𝑄	NOUN
ajst-29868	73	3	𝑠𝑢𝑚	𝑠𝑢𝑚	NOUN
ajst-29868	73	4	_	_	NOUN
ajst-29868	73	5	𝑖	𝑖	SYM
ajst-29868	73	6	1	1	NUM
ajst-29868	73	7	^	^	SYM
ajst-29868	73	8	𝑛	𝑛	PROPN
ajst-29868	73	9	𝑝	𝑝	PROPN
ajst-29868	73	10	𝑥_𝑖	𝑥_𝑖	NUM
ajst-29868	73	11	𝑙𝑜𝑔	𝑙𝑜𝑔	PROPN
ajst-29868	73	12	𝑓𝑟𝑎𝑐	𝑓𝑟𝑎𝑐	PROPN
ajst-29868	73	13	𝑝	𝑝	PROPN
ajst-29868	73	14	𝑥_𝑖	𝑥_𝑖	SYM
ajst-29868	73	15	𝑞	𝑞	X
ajst-29868	73	16	𝑥_𝑖	𝑥_𝑖	SYM
ajst-29868	73	17	(	(	PUNCT
ajst-29868	73	18	5	5	NUM
ajst-29868	73	19	)	)	PUNCT
ajst-29868	73	20	138	138	NUM
ajst-29868	73	21	where	where	SCONJ
ajst-29868	73	22	𝑝	𝑝	NOUN
ajst-29868	73	23	𝑥_𝑖	𝑥_𝑖	PUNCT
ajst-29868	73	24	and	and	CCONJ
ajst-29868	73	25	𝑞	𝑞	X
ajst-29868	73	26	𝑥_𝑖	𝑥_𝑖	PUNCT
ajst-29868	73	27	represent	represent	VERB
ajst-29868	73	28	the	the	DET
ajst-29868	73	29	true	true	ADJ
ajst-29868	73	30	distribution	distribution	NOUN
ajst-29868	73	31	of	of	ADP
ajst-29868	73	32	the	the	DET
ajst-29868	73	33	data	datum	NOUN
ajst-29868	73	34	and	and	CCONJ
ajst-29868	73	35	the	the	DET
ajst-29868	73	36	data	data	NOUN
ajst-29868	73	37	distribution	distribution	NOUN
ajst-29868	73	38	predicted	predict	VERB
ajst-29868	73	39	by	by	ADP
ajst-29868	73	40	the	the	DET
ajst-29868	73	41	model	model	NOUN
ajst-29868	73	42	,	,	PUNCT
ajst-29868	73	43	respectively	respectively	ADV
ajst-29868	73	44	.	.	PUNCT
ajst-29868	74	1	3	3	X
ajst-29868	74	2	.	.	NUM
ajst-29868	74	3	proposed	propose	VERB
ajst-29868	74	4	method	method	NOUN
ajst-29868	74	5	3.1	3.1	NUM
ajst-29868	74	6	.	.	PUNCT
ajst-29868	74	7	overall	overall	ADJ
ajst-29868	74	8	process	process	NOUN
ajst-29868	74	9	of	of	ADP
ajst-29868	74	10	data	datum	NOUN
ajst-29868	74	11	fusion	fusion	NOUN
ajst-29868	74	12	for	for	ADP
ajst-29868	74	13	data	datum	NOUN
ajst-29868	74	14	to	to	PART
ajst-29868	74	15	be	be	AUX
ajst-29868	74	16	fused	fuse	VERB
ajst-29868	74	17	,	,	PUNCT
ajst-29868	74	18	first	first	ADV
ajst-29868	74	19	perform	perform	VERB
ajst-29868	74	20	data	datum	NOUN
ajst-29868	74	21	preprocessing	preprocessing	NOUN
ajst-29868	74	22	to	to	PART
ajst-29868	74	23	transform	transform	VERB
ajst-29868	74	24	the	the	DET
ajst-29868	74	25	data	datum	NOUN
ajst-29868	74	26	into	into	ADP
ajst-29868	74	27	a	a	DET
ajst-29868	74	28	matrix	matrix	NOUN
ajst-29868	74	29	form	form	NOUN
ajst-29868	74	30	convenient	convenient	ADJ
ajst-29868	74	31	for	for	ADP
ajst-29868	74	32	computer	computer	NOUN
ajst-29868	74	33	processing	processing	NOUN
ajst-29868	74	34	.	.	PUNCT
ajst-29868	75	1	for	for	ADP
ajst-29868	75	2	all	all	DET
ajst-29868	75	3	data	datum	NOUN
ajst-29868	75	4	,	,	PUNCT
ajst-29868	75	5	if	if	SCONJ
ajst-29868	75	6	it	it	PRON
ajst-29868	75	7	is	be	AUX
ajst-29868	75	8	precise	precise	ADJ
ajst-29868	75	9	data	datum	NOUN
ajst-29868	75	10	,	,	PUNCT
ajst-29868	75	11	it	it	PRON
ajst-29868	75	12	is	be	AUX
ajst-29868	75	13	not	not	PART
ajst-29868	75	14	processed	process	VERB
ajst-29868	75	15	first	first	ADV
ajst-29868	75	16	;	;	PUNCT
ajst-29868	75	17	if	if	SCONJ
ajst-29868	75	18	it	it	PRON
ajst-29868	75	19	is	be	AUX
ajst-29868	75	20	fuzzy	fuzzy	ADJ
ajst-29868	75	21	data	datum	NOUN
ajst-29868	75	22	,	,	PUNCT
ajst-29868	75	23	it	it	PRON
ajst-29868	75	24	is	be	AUX
ajst-29868	75	25	processed	process	VERB
ajst-29868	75	26	based	base	VERB
ajst-29868	75	27	on	on	ADP
ajst-29868	75	28	ds	ds	ADJ
ajst-29868	75	29	evidence	evidence	NOUN
ajst-29868	75	30	theory	theory	NOUN
ajst-29868	75	31	for	for	ADP
ajst-29868	75	32	data	datum	NOUN
ajst-29868	75	33	fusion	fusion	NOUN
ajst-29868	75	34	,	,	PUNCT
ajst-29868	75	35	which	which	PRON
ajst-29868	75	36	can	can	AUX
ajst-29868	75	37	effectively	effectively	ADV
ajst-29868	75	38	clean	clean	VERB
ajst-29868	75	39	the	the	DET
ajst-29868	75	40	fuzzy	fuzzy	ADJ
ajst-29868	75	41	data	datum	NOUN
ajst-29868	75	42	into	into	ADP
ajst-29868	75	43	precise	precise	ADJ
ajst-29868	75	44	data	datum	NOUN
ajst-29868	75	45	.	.	PUNCT
ajst-29868	76	1	then	then	ADV
ajst-29868	76	2	,	,	PUNCT
ajst-29868	76	3	the	the	DET
ajst-29868	76	4	cleaned	clean	VERB
ajst-29868	76	5	fuzzy	fuzzy	ADJ
ajst-29868	76	6	data	datum	NOUN
ajst-29868	76	7	and	and	CCONJ
ajst-29868	76	8	the	the	DET
ajst-29868	76	9	original	original	ADJ
ajst-29868	76	10	precise	precise	ADJ
ajst-29868	76	11	data	datum	NOUN
ajst-29868	76	12	are	be	AUX
ajst-29868	76	13	fused	fuse	VERB
ajst-29868	76	14	together	together	ADV
ajst-29868	76	15	from	from	ADP
ajst-29868	76	16	the	the	DET
ajst-29868	76	17	perspective	perspective	NOUN
ajst-29868	76	18	of	of	ADP
ajst-29868	76	19	information	information	NOUN
ajst-29868	76	20	theory	theory	NOUN
ajst-29868	76	21	,	,	PUNCT
ajst-29868	76	22	and	and	CCONJ
ajst-29868	76	23	the	the	DET
ajst-29868	76	24	final	final	ADJ
ajst-29868	76	25	fusion	fusion	NOUN
ajst-29868	76	26	result	result	NOUN
ajst-29868	76	27	is	be	AUX
ajst-29868	76	28	obtained	obtain	VERB
ajst-29868	76	29	.	.	PUNCT
ajst-29868	77	1	figure	figure	NOUN
ajst-29868	77	2	1	1	NUM
ajst-29868	77	3	.	.	PUNCT
ajst-29868	77	4	overall	overall	ADJ
ajst-29868	77	5	process	process	NOUN
ajst-29868	77	6	of	of	ADP
ajst-29868	77	7	data	datum	NOUN
ajst-29868	77	8	fusion	fusion	NOUN
ajst-29868	77	9	data	datum	NOUN
ajst-29868	77	10	preprocessing	preprocessing	NOUN
ajst-29868	77	11	:	:	PUNCT
ajst-29868	77	12	data	datum	NOUN
ajst-29868	77	13	preprocessing	preprocessing	NOUN
ajst-29868	77	14	is	be	AUX
ajst-29868	77	15	the	the	DET
ajst-29868	77	16	foundation	foundation	NOUN
ajst-29868	77	17	of	of	ADP
ajst-29868	77	18	data	datum	NOUN
ajst-29868	77	19	analysis	analysis	NOUN
ajst-29868	77	20	,	,	PUNCT
ajst-29868	77	21	involving	involve	VERB
ajst-29868	77	22	steps	step	NOUN
ajst-29868	77	23	such	such	ADJ
ajst-29868	77	24	as	as	ADP
ajst-29868	77	25	data	datum	NOUN
ajst-29868	77	26	cleaning	cleaning	NOUN
ajst-29868	77	27	,	,	PUNCT
ajst-29868	77	28	feature	feature	NOUN
ajst-29868	77	29	extraction	extraction	NOUN
ajst-29868	77	30	,	,	PUNCT
ajst-29868	77	31	and	and	CCONJ
ajst-29868	77	32	data	datum	NOUN
ajst-29868	77	33	standardization	standardization	NOUN
ajst-29868	77	34	.	.	PUNCT
ajst-29868	78	1	the	the	DET
ajst-29868	78	2	purpose	purpose	NOUN
ajst-29868	78	3	is	be	AUX
ajst-29868	78	4	to	to	PART
ajst-29868	78	5	transform	transform	VERB
ajst-29868	78	6	the	the	DET
ajst-29868	78	7	original	original	ADJ
ajst-29868	78	8	data	datum	NOUN
ajst-29868	78	9	into	into	ADP
ajst-29868	78	10	a	a	DET
ajst-29868	78	11	matrix	matrix	NOUN
ajst-29868	78	12	containing	contain	VERB
ajst-29868	78	13	useful	useful	ADJ
ajst-29868	78	14	information	information	NOUN
ajst-29868	78	15	,	,	PUNCT
ajst-29868	78	16	laying	lay	VERB
ajst-29868	78	17	the	the	DET
ajst-29868	78	18	foundation	foundation	NOUN
ajst-29868	78	19	for	for	ADP
ajst-29868	78	20	subsequent	subsequent	ADJ
ajst-29868	78	21	data	datum	NOUN
ajst-29868	78	22	fusion	fusion	NOUN
ajst-29868	78	23	.	.	PUNCT
ajst-29868	79	1	data	datum	NOUN
ajst-29868	79	2	classification	classification	NOUN
ajst-29868	79	3	:	:	PUNCT
ajst-29868	79	4	data	datum	NOUN
ajst-29868	79	5	classification	classification	NOUN
ajst-29868	79	6	is	be	AUX
ajst-29868	79	7	achieved	achieve	VERB
ajst-29868	79	8	through	through	ADP
ajst-29868	79	9	unsupervised	unsupervised	ADJ
ajst-29868	79	10	learning	learning	NOUN
ajst-29868	79	11	methods	method	NOUN
ajst-29868	79	12	,	,	PUNCT
ajst-29868	79	13	where	where	SCONJ
ajst-29868	79	14	the	the	DET
ajst-29868	79	15	k	k	NOUN
ajst-29868	79	16	-	-	PUNCT
ajst-29868	79	17	means	mean	VERB
ajst-29868	79	18	clustering	clustering	ADJ
ajst-29868	79	19	algorithm	algorithm	NOUN
ajst-29868	79	20	is	be	AUX
ajst-29868	79	21	used	use	VERB
ajst-29868	79	22	to	to	PART
ajst-29868	79	23	distinguish	distinguish	VERB
ajst-29868	79	24	between	between	ADP
ajst-29868	79	25	fuzzy	fuzzy	ADJ
ajst-29868	79	26	data	datum	NOUN
ajst-29868	79	27	and	and	CCONJ
ajst-29868	79	28	precise	precise	ADJ
ajst-29868	79	29	data	datum	NOUN
ajst-29868	79	30	.	.	PUNCT
ajst-29868	80	1	the	the	DET
ajst-29868	80	2	k	k	NOUN
ajst-29868	80	3	-	-	PUNCT
ajst-29868	80	4	means	mean	VERB
ajst-29868	80	5	algorithm	algorithm	NOUN
ajst-29868	80	6	assigns	assign	NOUN
ajst-29868	80	7	data	datum	NOUN
ajst-29868	80	8	points	point	NOUN
ajst-29868	80	9	to	to	ADP
ajst-29868	80	10	k	k	PROPN
ajst-29868	80	11	clusters	cluster	NOUN
ajst-29868	80	12	through	through	ADP
ajst-29868	80	13	an	an	DET
ajst-29868	80	14	iterative	iterative	NOUN
ajst-29868	80	15	process	process	NOUN
ajst-29868	80	16	until	until	ADP
ajst-29868	80	17	convergence	convergence	NOUN
ajst-29868	80	18	.	.	PUNCT
ajst-29868	81	1	we	we	PRON
ajst-29868	81	2	chose	choose	VERB
ajst-29868	81	3	the	the	DET
ajst-29868	81	4	k	k	NOUN
ajst-29868	81	5	-	-	PUNCT
ajst-29868	81	6	means	means	NOUN
ajst-29868	81	7	algorithm	algorithm	NOUN
ajst-29868	81	8	because	because	SCONJ
ajst-29868	81	9	it	it	PRON
ajst-29868	81	10	is	be	AUX
ajst-29868	81	11	simple	simple	ADJ
ajst-29868	81	12	,	,	PUNCT
ajst-29868	81	13	fast	fast	ADJ
ajst-29868	81	14	,	,	PUNCT
ajst-29868	81	15	and	and	CCONJ
ajst-29868	81	16	easy	easy	ADJ
ajst-29868	81	17	to	to	PART
ajst-29868	81	18	understand	understand	VERB
ajst-29868	81	19	.	.	PUNCT
ajst-29868	82	1	in	in	ADP
ajst-29868	82	2	addition	addition	NOUN
ajst-29868	82	3	,	,	PUNCT
ajst-29868	82	4	this	this	DET
ajst-29868	82	5	paper	paper	NOUN
ajst-29868	82	6	also	also	ADV
ajst-29868	82	7	considers	consider	VERB
ajst-29868	82	8	the	the	DET
ajst-29868	82	9	quality	quality	NOUN
ajst-29868	82	10	of	of	ADP
ajst-29868	82	11	clustering	clustering	NOUN
ajst-29868	82	12	,	,	PUNCT
ajst-29868	82	13	using	use	VERB
ajst-29868	82	14	the	the	DET
ajst-29868	82	15	silhouette	silhouette	NOUN
ajst-29868	82	16	coefficient	coefficient	NOUN
ajst-29868	82	17	to	to	PART
ajst-29868	82	18	evaluate	evaluate	VERB
ajst-29868	82	19	the	the	DET
ajst-29868	82	20	clustering	clustering	ADJ
ajst-29868	82	21	effect	effect	NOUN
ajst-29868	82	22	.	.	PUNCT
ajst-29868	83	1	algorithm	algorithm	NOUN
ajst-29868	83	2	1	1	NUM
ajst-29868	83	3	.	.	PUNCT
ajst-29868	83	4	data	datum	NOUN
ajst-29868	83	5	preprocessing	preprocessing	NOUN
ajst-29868	83	6	and	and	CCONJ
ajst-29868	83	7	classification	classification	NOUN
ajst-29868	83	8	input	input	NOUN
ajst-29868	83	9	:	:	PUNCT
ajst-29868	84	1	raw	raw	ADJ
ajst-29868	84	2	data	datum	NOUN
ajst-29868	84	3	d	d	PROPN
ajst-29868	84	4	output	output	NOUN
ajst-29868	84	5	:	:	PUNCT
ajst-29868	84	6	classified	classified	ADJ
ajst-29868	84	7	data	datum	NOUN
ajst-29868	84	8	set	set	VERB
ajst-29868	84	9	c	c	NOUN
ajst-29868	84	10	,	,	PUNCT
ajst-29868	84	11	including	include	VERB
ajst-29868	84	12	vague	vague	ADJ
ajst-29868	84	13	and	and	CCONJ
ajst-29868	84	14	precise	precise	ADJ
ajst-29868	84	15	data	datum	NOUN
ajst-29868	84	16	begin	begin	VERB
ajst-29868	84	17	:	:	PUNCT
ajst-29868	84	18	cleanse	cleanse	NOUN
ajst-29868	84	19	d	d	NOUN
ajst-29868	84	20	from	from	ADP
ajst-29868	84	21	noise	noise	NOUN
ajst-29868	84	22	and	and	CCONJ
ajst-29868	84	23	handle	handle	VERB
ajst-29868	84	24	missing	miss	VERB
ajst-29868	84	25	values	value	NOUN
ajst-29868	84	26	.	.	PUNCT
ajst-29868	85	1	detect	detect	VERB
ajst-29868	85	2	and	and	CCONJ
ajst-29868	85	3	remove	remove	VERB
ajst-29868	85	4	outliers	outlier	NOUN
ajst-29868	85	5	from	from	ADP
ajst-29868	85	6	d.	d.	PROPN
ajst-29868	85	7	normalize	normalize	VERB
ajst-29868	85	8	the	the	DET
ajst-29868	85	9	features	feature	NOUN
ajst-29868	85	10	in	in	ADP
ajst-29868	85	11	d.	d.	PROPN
ajst-29868	85	12	apply	apply	VERB
ajst-29868	85	13	k	k	PROPN
ajst-29868	85	14	-	-	PUNCT
ajst-29868	85	15	means	means	NOUN
ajst-29868	85	16	clustering	cluster	VERB
ajst-29868	85	17	to	to	ADP
ajst-29868	85	18	d	d	NOUN
ajst-29868	85	19	to	to	PART
ajst-29868	85	20	obtain	obtain	VERB
ajst-29868	85	21	lusters	luster	NOUN
ajst-29868	85	22	.	.	PUNCT
ajst-29868	86	1	classify	classify	VERB
ajst-29868	86	2	clusters	cluster	NOUN
ajst-29868	86	3	with	with	ADP
ajst-29868	86	4	a	a	DET
ajst-29868	86	5	high	high	ADJ
ajst-29868	86	6	degree	degree	NOUN
ajst-29868	86	7	of	of	ADP
ajst-29868	86	8	overlap	overlap	NOUN
ajst-29868	86	9	s	s	PART
ajst-29868	86	10	vague	vague	ADJ
ajst-29868	86	11	data	datum	NOUN
ajst-29868	86	12	.	.	PUNCT
ajst-29868	87	1	classify	classify	VERB
ajst-29868	87	2	distinct	distinct	ADJ
ajst-29868	87	3	clusters	cluster	NOUN
ajst-29868	87	4	as	as	ADP
ajst-29868	87	5	precise	precise	ADJ
ajst-29868	87	6	data	datum	NOUN
ajst-29868	87	7	.	.	PUNCT
ajst-29868	88	1	return	return	VERB
ajst-29868	88	2	the	the	DET
ajst-29868	88	3	classified	classified	ADJ
ajst-29868	88	4	data	datum	NOUN
ajst-29868	88	5	set	set	VERB
ajst-29868	88	6	c.	c.	PROPN
ajst-29868	88	7	end	end	NOUN
ajst-29868	88	8	.	.	PUNCT
ajst-29868	89	1	3.2	3.2	NUM
ajst-29868	89	2	.	.	PUNCT
ajst-29868	90	1	fuzzy	fuzzy	ADJ
ajst-29868	90	2	data	datum	NOUN
ajst-29868	90	3	processing	processing	NOUN
ajst-29868	90	4	process	process	NOUN
ajst-29868	90	5	fuzzy	fuzzy	ADJ
ajst-29868	90	6	data	datum	NOUN
ajst-29868	90	7	processing	processing	NOUN
ajst-29868	90	8	:	:	PUNCT
ajst-29868	90	9	in	in	ADP
ajst-29868	90	10	the	the	DET
ajst-29868	90	11	fuzzy	fuzzy	ADJ
ajst-29868	90	12	data	datum	NOUN
ajst-29868	90	13	processing	processing	NOUN
ajst-29868	90	14	stage	stage	NOUN
ajst-29868	90	15	,	,	PUNCT
ajst-29868	90	16	this	this	DET
ajst-29868	90	17	paper	paper	NOUN
ajst-29868	90	18	uses	use	VERB
ajst-29868	90	19	ds	ds	ADJ
ajst-29868	90	20	evidence	evidence	NOUN
ajst-29868	90	21	theory	theory	NOUN
ajst-29868	90	22	to	to	PART
ajst-29868	90	23	process	process	VERB
ajst-29868	90	24	fuzzy	fuzzy	ADJ
ajst-29868	90	25	label	label	NOUN
ajst-29868	90	26	datasets	dataset	NOUN
ajst-29868	90	27	.	.	PUNCT
ajst-29868	91	1	the	the	DET
ajst-29868	91	2	goal	goal	NOUN
ajst-29868	91	3	of	of	ADP
ajst-29868	91	4	this	this	DET
ajst-29868	91	5	stage	stage	NOUN
ajst-29868	91	6	is	be	AUX
ajst-29868	91	7	to	to	PART
ajst-29868	91	8	transform	transform	VERB
ajst-29868	91	9	fuzzy	fuzzy	ADJ
ajst-29868	91	10	data	datum	NOUN
ajst-29868	91	11	into	into	ADP
ajst-29868	91	12	a	a	DET
ajst-29868	91	13	more	more	ADV
ajst-29868	91	14	easily	easily	ADV
ajst-29868	91	15	processed	process	VERB
ajst-29868	91	16	precise	precise	ADJ
ajst-29868	91	17	data	datum	NOUN
ajst-29868	91	18	form	form	NOUN
ajst-29868	91	19	for	for	ADP
ajst-29868	91	20	subsequent	subsequent	ADJ
ajst-29868	91	21	analysis	analysis	NOUN
ajst-29868	91	22	and	and	CCONJ
ajst-29868	91	23	decision	decision	NOUN
ajst-29868	91	24	-	-	PUNCT
ajst-29868	91	25	making	making	NOUN
ajst-29868	91	26	.	.	PUNCT
ajst-29868	92	1	the	the	DET
ajst-29868	92	2	following	follow	VERB
ajst-29868	92	3	is	be	AUX
ajst-29868	92	4	a	a	DET
ajst-29868	92	5	detailed	detailed	ADJ
ajst-29868	92	6	processing	processing	NOUN
ajst-29868	92	7	process	process	NOUN
ajst-29868	92	8	:	:	PUNCT
ajst-29868	92	9	data	datum	NOUN
ajst-29868	92	10	set	set	VERB
ajst-29868	92	11	partitioning	partitioning	NOUN
ajst-29868	92	12	:	:	PUNCT
ajst-29868	92	13	first	first	ADV
ajst-29868	92	14	,	,	PUNCT
ajst-29868	92	15	we	we	PRON
ajst-29868	92	16	use	use	VERB
ajst-29868	92	17	the	the	DET
ajst-29868	92	18	effective	effective	ADJ
ajst-29868	92	19	label	label	NOUN
ajst-29868	92	20	set	set	VERB
ajst-29868	92	21	coverage	coverage	NOUN
ajst-29868	92	22	algorithm	algorithm	NOUN
ajst-29868	92	23	to	to	PART
ajst-29868	92	24	divide	divide	VERB
ajst-29868	92	25	the	the	DET
ajst-29868	92	26	fuzzy	fuzzy	ADJ
ajst-29868	92	27	label	label	NOUN
ajst-29868	92	28	dataset	dataset	VERB
ajst-29868	92	29	into	into	ADP
ajst-29868	92	30	multiple	multiple	ADJ
ajst-29868	92	31	small	small	ADJ
ajst-29868	92	32	data	datum	NOUN
ajst-29868	92	33	groups	group	NOUN
ajst-29868	92	34	.	.	PUNCT
ajst-29868	93	1	each	each	DET
ajst-29868	93	2	data	datum	NOUN
ajst-29868	93	3	group	group	NOUN
ajst-29868	93	4	represents	represent	VERB
ajst-29868	93	5	an	an	DET
ajst-29868	93	6	effective	effective	ADJ
ajst-29868	93	7	label	label	NOUN
ajst-29868	93	8	set	set	NOUN
ajst-29868	93	9	,	,	PUNCT
ajst-29868	93	10	which	which	PRON
ajst-29868	93	11	can	can	AUX
ajst-29868	93	12	cover	cover	VERB
ajst-29868	93	13	the	the	DET
ajst-29868	93	14	entire	entire	ADJ
ajst-29868	93	15	category	category	NOUN
ajst-29868	93	16	space	space	NOUN
ajst-29868	93	17	,	,	PUNCT
ajst-29868	93	18	ensuring	ensure	VERB
ajst-29868	93	19	the	the	DET
ajst-29868	93	20	diversity	diversity	NOUN
ajst-29868	93	21	and	and	CCONJ
ajst-29868	93	22	representativeness	representativeness	NOUN
ajst-29868	93	23	of	of	ADP
ajst-29868	93	24	the	the	DET
ajst-29868	93	25	data	datum	NOUN
ajst-29868	93	26	.	.	PUNCT
ajst-29868	94	1	data	datum	NOUN
ajst-29868	94	2	fusion	fusion	NOUN
ajst-29868	94	3	based	base	VERB
ajst-29868	94	4	on	on	ADP
ajst-29868	94	5	ds	ds	ADJ
ajst-29868	94	6	evidence	evidence	NOUN
ajst-29868	94	7	theory	theory	NOUN
ajst-29868	94	8	:	:	PUNCT
ajst-29868	94	9	for	for	SCONJ
ajst-29868	94	10	each	each	DET
ajst-29868	94	11	data	datum	NOUN
ajst-29868	94	12	subset	subset	VERB
ajst-29868	94	13	,	,	PUNCT
ajst-29868	94	14	we	we	PRON
ajst-29868	94	15	design	design	VERB
ajst-29868	94	16	and	and	CCONJ
ajst-29868	94	17	train	train	VERB
ajst-29868	94	18	a	a	DET
ajst-29868	94	19	classifier	classifier	NOUN
ajst-29868	94	20	based	base	VERB
ajst-29868	94	21	on	on	ADP
ajst-29868	94	22	ds	ds	ADJ
ajst-29868	94	23	evidence	evidence	NOUN
ajst-29868	94	24	theory	theory	NOUN
ajst-29868	94	25	.	.	PUNCT
ajst-29868	95	1	these	these	DET
ajst-29868	95	2	classifiers	classifier	NOUN
ajst-29868	95	3	will	will	AUX
ajst-29868	95	4	use	use	VERB
ajst-29868	95	5	fuzzy	fuzzy	ADJ
ajst-29868	95	6	labels	label	NOUN
ajst-29868	95	7	as	as	ADP
ajst-29868	95	8	evidence	evidence	NOUN
ajst-29868	95	9	of	of	ADP
ajst-29868	95	10	uncertainty	uncertainty	NOUN
ajst-29868	95	11	and	and	CCONJ
ajst-29868	95	12	assign	assign	NOUN
ajst-29868	95	13	probabilities	probability	NOUN
ajst-29868	95	14	to	to	ADP
ajst-29868	95	15	each	each	DET
ajst-29868	95	16	category	category	NOUN
ajst-29868	95	17	through	through	ADP
ajst-29868	95	18	bpa	bpa	NOUN
ajst-29868	95	19	.	.	PUNCT
ajst-29868	96	1	the	the	DET
ajst-29868	96	2	training	training	NOUN
ajst-29868	96	3	of	of	ADP
ajst-29868	96	4	the	the	DET
ajst-29868	96	5	classifier	classifier	NOUN
ajst-29868	96	6	uses	use	VERB
ajst-29868	96	7	advanced	advanced	ADJ
ajst-29868	96	8	machine	machine	NOUN
ajst-29868	96	9	learning	learn	VERB
ajst-29868	96	10	techniques	technique	NOUN
ajst-29868	96	11	,	,	PUNCT
ajst-29868	96	12	such	such	ADJ
ajst-29868	96	13	as	as	ADP
ajst-29868	96	14	logistic	logistic	ADJ
ajst-29868	96	15	regression	regression	NOUN
ajst-29868	96	16	,	,	PUNCT
ajst-29868	96	17	support	support	VERB
ajst-29868	96	18	vector	vector	NOUN
ajst-29868	96	19	machines	machine	NOUN
ajst-29868	96	20	,	,	PUNCT
ajst-29868	96	21	or	or	CCONJ
ajst-29868	96	22	neural	neural	ADJ
ajst-29868	96	23	networks	network	NOUN
ajst-29868	96	24	.	.	PUNCT
ajst-29868	97	1	model	model	NOUN
ajst-29868	97	2	training	training	NOUN
ajst-29868	97	3	and	and	CCONJ
ajst-29868	97	4	testing	testing	NOUN
ajst-29868	97	5	:	:	PUNCT
ajst-29868	97	6	use	use	VERB
ajst-29868	97	7	machine	machine	NOUN
ajst-29868	97	8	learning	learning	NOUN
ajst-29868	97	9	methods	method	NOUN
ajst-29868	97	10	to	to	PART
ajst-29868	97	11	train	train	VERB
ajst-29868	97	12	our	our	PRON
ajst-29868	97	13	fusion	fusion	NOUN
ajst-29868	97	14	model	model	NOUN
ajst-29868	97	15	.	.	PUNCT
ajst-29868	98	1	with	with	ADP
ajst-29868	98	2	a	a	DET
ajst-29868	98	3	large	large	ADJ
ajst-29868	98	4	amount	amount	NOUN
ajst-29868	98	5	of	of	ADP
ajst-29868	98	6	training	training	NOUN
ajst-29868	98	7	data	datum	NOUN
ajst-29868	98	8	,	,	PUNCT
ajst-29868	98	9	the	the	DET
ajst-29868	98	10	model	model	NOUN
ajst-29868	98	11	will	will	AUX
ajst-29868	98	12	learn	learn	VERB
ajst-29868	98	13	how	how	SCONJ
ajst-29868	98	14	to	to	PART
ajst-29868	98	15	make	make	VERB
ajst-29868	98	16	the	the	DET
ajst-29868	98	17	best	good	ADJ
ajst-29868	98	18	decisions	decision	NOUN
ajst-29868	98	19	based	base	VERB
ajst-29868	98	20	on	on	ADP
ajst-29868	98	21	weights	weight	NOUN
ajst-29868	98	22	and	and	CCONJ
ajst-29868	98	23	information	information	NOUN
ajst-29868	98	24	content	content	NOUN
ajst-29868	98	25	.	.	PUNCT
ajst-29868	99	1	in	in	ADP
ajst-29868	99	2	addition	addition	NOUN
ajst-29868	99	3	,	,	PUNCT
ajst-29868	99	4	we	we	PRON
ajst-29868	99	5	will	will	AUX
ajst-29868	99	6	also	also	ADV
ajst-29868	99	7	use	use	VERB
ajst-29868	99	8	an	an	DET
ajst-29868	99	9	independent	independent	ADJ
ajst-29868	99	10	test	test	NOUN
ajst-29868	99	11	set	set	VERB
ajst-29868	99	12	to	to	PART
ajst-29868	99	13	evaluate	evaluate	VERB
ajst-29868	99	14	the	the	DET
ajst-29868	99	15	model	model	NOUN
ajst-29868	99	16	's	's	PART
ajst-29868	99	17	generalization	generalization	NOUN
ajst-29868	99	18	ability	ability	NOUN
ajst-29868	99	19	and	and	CCONJ
ajst-29868	99	20	performance	performance	NOUN
ajst-29868	99	21	.	.	PUNCT
ajst-29868	100	1	decision	decision	NOUN
ajst-29868	100	2	making	making	NOUN
ajst-29868	100	3	:	:	PUNCT
ajst-29868	100	4	according	accord	VERB
ajst-29868	100	5	to	to	ADP
ajst-29868	100	6	the	the	DET
ajst-29868	100	7	bpa	bpa	NOUN
ajst-29868	100	8	after	after	ADP
ajst-29868	100	9	fusion	fusion	NOUN
ajst-29868	100	10	,	,	PUNCT
ajst-29868	100	11	we	we	PRON
ajst-29868	100	12	use	use	VERB
ajst-29868	100	13	the	the	DET
ajst-29868	100	14	pignistic	pignistic	ADJ
ajst-29868	100	15	probability	probability	NOUN
ajst-29868	100	16	transformation	transformation	NOUN
ajst-29868	100	17	to	to	PART
ajst-29868	100	18	convert	convert	VERB
ajst-29868	100	19	the	the	DET
ajst-29868	100	20	probabilities	probability	NOUN
ajst-29868	100	21	of	of	ADP
ajst-29868	100	22	multiple	multiple	ADJ
ajst-29868	100	23	hypotheses	hypothesis	NOUN
ajst-29868	100	24	into	into	ADP
ajst-29868	100	25	the	the	DET
ajst-29868	100	26	probability	probability	NOUN
ajst-29868	100	27	of	of	ADP
ajst-29868	100	28	a	a	DET
ajst-29868	100	29	single	single	ADJ
ajst-29868	100	30	category	category	NOUN
ajst-29868	100	31	and	and	CCONJ
ajst-29868	100	32	select	select	VERB
ajst-29868	100	33	the	the	DET
ajst-29868	100	34	category	category	NOUN
ajst-29868	100	35	with	with	ADP
ajst-29868	100	36	the	the	DET
ajst-29868	100	37	highest	high	ADJ
ajst-29868	100	38	probability	probability	NOUN
ajst-29868	100	39	as	as	ADP
ajst-29868	100	40	the	the	DET
ajst-29868	100	41	final	final	ADJ
ajst-29868	100	42	classification	classification	NOUN
ajst-29868	100	43	result	result	NOUN
ajst-29868	100	44	.	.	PUNCT
ajst-29868	101	1	the	the	DET
ajst-29868	101	2	specific	specific	ADJ
ajst-29868	101	3	process	process	NOUN
ajst-29868	101	4	is	be	AUX
ajst-29868	101	5	as	as	SCONJ
ajst-29868	101	6	follows	follow	VERB
ajst-29868	101	7	:	:	PUNCT
ajst-29868	101	8	first	first	ADV
ajst-29868	101	9	,	,	PUNCT
ajst-29868	101	10	use	use	VERB
ajst-29868	101	11	logistic	logistic	ADJ
ajst-29868	101	12	regression	regression	NOUN
ajst-29868	101	13	and	and	CCONJ
ajst-29868	101	14	convolutional	convolutional	ADJ
ajst-29868	101	15	neural	neural	ADJ
ajst-29868	101	16	networks	network	NOUN
ajst-29868	101	17	as	as	SCONJ
ajst-29868	101	18	basic	basic	ADJ
ajst-29868	101	19	classifiers	classifier	NOUN
ajst-29868	101	20	to	to	PART
ajst-29868	101	21	process	process	VERB
ajst-29868	101	22	the	the	DET
ajst-29868	101	23	synthetic	synthetic	ADJ
ajst-29868	101	24	dataset	dataset	NOUN
ajst-29868	101	25	.	.	PUNCT
ajst-29868	102	1	for	for	ADP
ajst-29868	102	2	the	the	DET
ajst-29868	102	3	synthetic	synthetic	ADJ
ajst-29868	102	4	dataset	dataset	NOUN
ajst-29868	102	5	,	,	PUNCT
ajst-29868	102	6	we	we	PRON
ajst-29868	102	7	generated	generate	VERB
ajst-29868	102	8	data	datum	NOUN
ajst-29868	102	9	with	with	ADP
ajst-29868	102	10	5	5	NUM
ajst-29868	102	11	categories	category	NOUN
ajst-29868	102	12	following	follow	VERB
ajst-29868	102	13	a	a	DET
ajst-29868	102	14	gaussian	gaussian	ADJ
ajst-29868	102	15	distribution	distribution	NOUN
ajst-29868	102	16	and	and	CCONJ
ajst-29868	102	17	introduced	introduce	VERB
ajst-29868	102	18	random	random	ADJ
ajst-29868	102	19	noise	noise	NOUN
ajst-29868	102	20	and	and	CCONJ
ajst-29868	102	21	interdependencies	interdependency	NOUN
ajst-29868	102	22	among	among	ADP
ajst-29868	102	23	features	feature	NOUN
ajst-29868	102	24	to	to	PART
ajst-29868	102	25	simulate	simulate	VERB
ajst-29868	102	26	realworld	realworld	PROPN
ajst-29868	102	27	complexity	complexity	PROPN
ajst-29868	102	28	.	.	PUNCT
ajst-29868	103	1	selected	select	VERB
ajst-29868	103	2	six	six	NUM
ajst-29868	103	3	categories	category	NOUN
ajst-29868	103	4	with	with	ADP
ajst-29868	103	5	precise	precise	ADJ
ajst-29868	103	6	category	category	NOUN
ajst-29868	103	7	labels	label	NOUN
ajst-29868	103	8	and	and	CCONJ
ajst-29868	103	9	associated	associate	VERB
ajst-29868	103	10	them	they	PRON
ajst-29868	103	11	with	with	ADP
ajst-29868	103	12	ambiguous	ambiguous	ADJ
ajst-29868	103	13	hypercategory	hypercategory	NOUN
ajst-29868	103	14	labels	label	NOUN
ajst-29868	103	15	.	.	PUNCT
ajst-29868	104	1	given	give	VERB
ajst-29868	104	2	as	as	ADP
ajst-29868	104	3	the	the	DET
ajst-29868	104	4	existing	exist	VERB
ajst-29868	104	5	label	label	NOUN
ajst-29868	104	6	set	set	NOUN
ajst-29868	104	7	.	.	PUNCT
ajst-29868	105	1	to	to	PART
ajst-29868	105	2	implement	implement	VERB
ajst-29868	105	3	k	k	PROPN
ajst-29868	105	4	different	different	ADJ
ajst-29868	105	5	classifiers	classifier	NOUN
ajst-29868	105	6	,	,	PUNCT
ajst-29868	105	7	it	it	PRON
ajst-29868	105	8	is	be	AUX
ajst-29868	105	9	necessary	necessary	ADJ
ajst-29868	105	10	to	to	PART
ajst-29868	105	11	find	find	VERB
ajst-29868	105	12	k	k	X
ajst-29868	105	13	effective	effective	ADJ
ajst-29868	105	14	label	label	NOUN
ajst-29868	105	15	set	set	NOUN
ajst-29868	105	16	covers	cover	NOUN
ajst-29868	105	17	,	,	PUNCT
ajst-29868	105	18	denoted	denote	VERB
ajst-29868	105	19	as	as	ADP
ajst-29868	105	20	,	,	PUNCT
ajst-29868	105	21	and	and	CCONJ
ajst-29868	105	22	join	join	VERB
ajst-29868	105	23	the	the	DET
ajst-29868	105	24	unselected	unselected	ADJ
ajst-29868	105	25	elements	element	NOUN
ajst-29868	105	26	of	of	ADP
ajst-29868	105	27	the	the	DET
ajst-29868	105	28	fuzzy	fuzzy	ADJ
ajst-29868	105	29	label	label	NOUN
ajst-29868	105	30	to	to	PART
ajst-29868	105	31	select	select	VERB
ajst-29868	105	32	multiple	multiple	ADJ
ajst-29868	105	33	hypotheses	hypothesis	NOUN
ajst-29868	105	34	until	until	SCONJ
ajst-29868	105	35	the	the	DET
ajst-29868	105	36	conditions	condition	NOUN
ajst-29868	105	37	for	for	ADP
ajst-29868	105	38	effective	effective	ADJ
ajst-29868	105	39	139	139	NUM
ajst-29868	105	40	label	label	NOUN
ajst-29868	105	41	set	set	NOUN
ajst-29868	105	42	covers	cover	NOUN
ajst-29868	105	43	are	be	AUX
ajst-29868	105	44	met	meet	VERB
ajst-29868	105	45	.	.	PUNCT
ajst-29868	106	1	after	after	ADP
ajst-29868	106	2	deduplication	deduplication	NOUN
ajst-29868	106	3	and	and	CCONJ
ajst-29868	106	4	simplification	simplification	NOUN
ajst-29868	106	5	operations	operation	NOUN
ajst-29868	106	6	,	,	PUNCT
ajst-29868	106	7	an	an	DET
ajst-29868	106	8	effective	effective	ADJ
ajst-29868	106	9	label	label	NOUN
ajst-29868	106	10	set	set	VERB
ajst-29868	106	11	cover	cover	NOUN
ajst-29868	106	12	can	can	AUX
ajst-29868	106	13	be	be	AUX
ajst-29868	106	14	obtained	obtain	VERB
ajst-29868	106	15	,	,	PUNCT
ajst-29868	106	16	represented	represent	VERB
ajst-29868	106	17	as	as	ADP
ajst-29868	106	18	the	the	DET
ajst-29868	106	19	set	set	NOUN
ajst-29868	106	20	of	of	ADP
ajst-29868	106	21	effective	effective	ADJ
ajst-29868	106	22	label	label	NOUN
ajst-29868	106	23	set	set	NOUN
ajst-29868	106	24	covers	cover	VERB
ajst-29868	106	25	𝑈	𝑈	PROPN
ajst-29868	106	26	𝑐	𝑐	PROPN
ajst-29868	106	27	,	,	PUNCT
ajst-29868	106	28	𝑐	𝑐	PROPN
ajst-29868	106	29	,	,	PUNCT
ajst-29868	106	30	…	…	PUNCT
ajst-29868	106	31	,	,	PUNCT
ajst-29868	106	32	𝑐	𝑐	PROPN
ajst-29868	106	33	.	.	PUNCT
ajst-29868	107	1	algorithm	algorithm	PROPN
ajst-29868	107	2	2	2	NUM
ajst-29868	107	3	.	.	PUNCT
ajst-29868	108	1	synthetic	synthetic	ADJ
ajst-29868	108	2	data	datum	NOUN
ajst-29868	108	3	classification	classification	NOUN
ajst-29868	108	4	input	input	NOUN
ajst-29868	108	5	:	:	PUNCT
ajst-29868	108	6	raw	raw	ADJ
ajst-29868	108	7	synthetic	synthetic	NOUN
ajst-29868	108	8	dataset	dataset	VERB
ajst-29868	108	9	s	s	NOUN
ajst-29868	108	10	,	,	PUNCT
ajst-29868	108	11	number	number	NOUN
ajst-29868	108	12	of	of	ADP
ajst-29868	108	13	classifiers	classifier	NOUN
ajst-29868	108	14	k	k	PROPN
ajst-29868	108	15	,	,	PUNCT
ajst-29868	108	16	existing	exist	VERB
ajst-29868	108	17	label	label	NOUN
ajst-29868	108	18	set	set	VERB
ajst-29868	108	19	𝑌	𝑌	PROPN
ajst-29868	108	20	output	output	NOUN
ajst-29868	108	21	:	:	PUNCT
ajst-29868	108	22	set	set	VERB
ajst-29868	108	23	of	of	ADP
ajst-29868	108	24	effective	effective	ADJ
ajst-29868	108	25	label	label	NOUN
ajst-29868	108	26	cover	cover	NOUN
ajst-29868	108	27	sets	set	VERB
ajst-29868	108	28	𝑈	𝑈	PROPN
ajst-29868	108	29	𝐶	𝐶	PROPN
ajst-29868	108	30	,	,	PUNCT
ajst-29868	108	31	𝐶	𝐶	PROPN
ajst-29868	108	32	,	,	PUNCT
ajst-29868	108	33	.	.	PUNCT
ajst-29868	108	34	.	.	PUNCT
ajst-29868	109	1	.	.	PUNCT
ajst-29868	110	1	,	,	PUNCT
ajst-29868	110	2	𝐶	𝐶	PROPN
ajst-29868	110	3	begin	begin	VERB
ajst-29868	110	4	:	:	PUNCT
ajst-29868	110	5	data	datum	NOUN
ajst-29868	110	6	generation	generation	NOUN
ajst-29868	110	7	generate	generate	VERB
ajst-29868	110	8	synthetic	synthetic	ADJ
ajst-29868	110	9	dataset	dataset	NOUN
ajst-29868	110	10	s	s	NOUN
ajst-29868	110	11	with	with	ADP
ajst-29868	110	12	5	5	NUM
ajst-29868	110	13	categories	category	NOUN
ajst-29868	110	14	following	follow	VERB
ajst-29868	110	15	gaussian	gaussian	ADJ
ajst-29868	110	16	distribution	distribution	NOUN
ajst-29868	110	17	.	.	PUNCT
ajst-29868	111	1	introduce	introduce	VERB
ajst-29868	111	2	random	random	ADJ
ajst-29868	111	3	noise	noise	NOUN
ajst-29868	111	4	and	and	CCONJ
ajst-29868	111	5	interdependencies	interdependency	NOUN
ajst-29868	111	6	among	among	ADP
ajst-29868	111	7	features	feature	NOUN
ajst-29868	111	8	to	to	PART
ajst-29868	111	9	simulate	simulate	VERB
ajst-29868	111	10	.	.	PUNCT
ajst-29868	112	1	label	label	NOUN
ajst-29868	112	2	association	association	NOUN
ajst-29868	112	3	associate	associate	VERB
ajst-29868	112	4	six	six	NUM
ajst-29868	112	5	categories	category	NOUN
ajst-29868	112	6	with	with	ADP
ajst-29868	112	7	precise	precise	ADJ
ajst-29868	112	8	labels	label	NOUN
ajst-29868	112	9	and	and	CCONJ
ajst-29868	112	10	ambiguous	ambiguous	ADJ
ajst-29868	112	11	hyper	hyper	ADJ
ajst-29868	112	12	-	-	ADJ
ajst-29868	112	13	category	category	ADJ
ajst-29868	112	14	labels	label	NOUN
ajst-29868	112	15	.	.	PUNCT
ajst-29868	113	1	base	base	NOUN
ajst-29868	113	2	classifier	classifier	PROPN
ajst-29868	113	3	selection	selection	NOUN
ajst-29868	113	4	select	select	ADJ
ajst-29868	113	5	logistic	logistic	ADJ
ajst-29868	113	6	regression	regression	NOUN
ajst-29868	113	7	and	and	CCONJ
ajst-29868	113	8	convolutional	convolutional	ADJ
ajst-29868	113	9	neural	neural	ADJ
ajst-29868	113	10	network	network	NOUN
ajst-29868	113	11	as	as	ADP
ajst-29868	113	12	base	base	NOUN
ajst-29868	113	13	classifiers	classifier	NOUN
ajst-29868	113	14	.	.	PUNCT
ajst-29868	114	1	label	label	NOUN
ajst-29868	114	2	cover	cover	NOUN
ajst-29868	114	3	set	set	VERB
ajst-29868	114	4	identification	identification	NOUN
ajst-29868	114	5	initialize	initialize	VERB
ajst-29868	114	6	an	an	DET
ajst-29868	114	7	empty	empty	ADJ
ajst-29868	114	8	set	set	VERB
ajst-29868	114	9	u	u	NOUN
ajst-29868	114	10	for	for	ADP
ajst-29868	114	11	storing	store	VERB
ajst-29868	114	12	effective	effective	ADJ
ajst-29868	114	13	label	label	NOUN
ajst-29868	114	14	cover	cover	NOUN
ajst-29868	114	15	sets	set	NOUN
ajst-29868	114	16	.	.	PUNCT
ajst-29868	115	1	deduplication	deduplication	NOUN
ajst-29868	115	2	and	and	CCONJ
ajst-29868	115	3	simplification	simplification	NOUN
ajst-29868	115	4	for	for	ADP
ajst-29868	115	5	each	each	DET
ajst-29868	115	6	label	label	NOUN
ajst-29868	115	7	cover	cover	NOUN
ajst-29868	115	8	set	set	VERB
ajst-29868	115	9	𝐶	𝐶	PROPN
ajst-29868	115	10	in	in	ADP
ajst-29868	115	11	u	u	NOUN
ajst-29868	115	12	,	,	PUNCT
ajst-29868	115	13	perform	perform	VERB
ajst-29868	115	14	deduplication	deduplication	NOUN
ajst-29868	115	15	to	to	PART
ajst-29868	115	16	remove	remove	VERB
ajst-29868	115	17	duplicate	duplicate	ADJ
ajst-29868	115	18	labels	label	NOUN
ajst-29868	115	19	.	.	PUNCT
ajst-29868	116	1	simplify	simplify	VERB
ajst-29868	116	2	each	each	DET
ajst-29868	116	3	𝐶	𝐶	PROPN
ajst-29868	116	4	by	by	ADP
ajst-29868	116	5	removing	remove	VERB
ajst-29868	116	6	redundant	redundant	ADJ
ajst-29868	116	7	labels	label	NOUN
ajst-29868	116	8	that	that	PRON
ajst-29868	116	9	do	do	AUX
ajst-29868	116	10	not	not	PART
ajst-29868	116	11	contribute	contribute	VERB
ajst-29868	116	12	to	to	ADP
ajst-29868	116	13	the	the	DET
ajst-29868	116	14	classification	classification	NOUN
ajst-29868	116	15	diversity	diversity	NOUN
ajst-29868	116	16	.	.	PUNCT
ajst-29868	117	1	effective	effective	ADJ
ajst-29868	117	2	label	label	NOUN
ajst-29868	117	3	cover	cover	NOUN
ajst-29868	117	4	set	set	VERB
ajst-29868	117	5	validation	validation	NOUN
ajst-29868	117	6	validate	validate	NOUN
ajst-29868	117	7	each	each	DET
ajst-29868	117	8	𝐶	𝐶	PROPN
ajst-29868	117	9	in	in	ADP
ajst-29868	117	10	u	u	NOUN
ajst-29868	117	11	to	to	PART
ajst-29868	117	12	ensure	ensure	VERB
ajst-29868	117	13	they	they	PRON
ajst-29868	117	14	meet	meet	VERB
ajst-29868	117	15	the	the	DET
ajst-29868	117	16	criteria	criterion	NOUN
ajst-29868	117	17	for	for	ADP
ajst-29868	117	18	being	be	AUX
ajst-29868	117	19	effective	effective	ADJ
ajst-29868	117	20	label	label	NOUN
ajst-29868	117	21	cover	cover	NOUN
ajst-29868	117	22	sets	set	NOUN
ajst-29868	117	23	.	.	PUNCT
ajst-29868	118	1	return	return	VERB
ajst-29868	118	2	results	result	NOUN
ajst-29868	118	3	return	return	VERB
ajst-29868	118	4	the	the	DET
ajst-29868	118	5	set	set	NOUN
ajst-29868	118	6	of	of	ADP
ajst-29868	118	7	effective	effective	ADJ
ajst-29868	118	8	label	label	NOUN
ajst-29868	118	9	cover	cover	NOUN
ajst-29868	118	10	sets	set	VERB
ajst-29868	118	11	u	u	NOUN
ajst-29868	118	12	,	,	PUNCT
ajst-29868	118	13	which	which	PRON
ajst-29868	118	14	now	now	ADV
ajst-29868	118	15	contains	contain	VERB
ajst-29868	118	16	k	k	PROPN
ajst-29868	118	17	distinct	distinct	ADJ
ajst-29868	118	18	and	and	CCONJ
ajst-29868	118	19	effective	effective	ADJ
ajst-29868	118	20	label	label	NOUN
ajst-29868	118	21	cover	cover	NOUN
ajst-29868	118	22	sets	set	NOUN
ajst-29868	118	23	.	.	PUNCT
ajst-29868	119	1	end	end	NOUN
ajst-29868	119	2	.	.	PUNCT
ajst-29868	120	1	based	base	VERB
ajst-29868	120	2	on	on	ADP
ajst-29868	120	3	the	the	DET
ajst-29868	120	4	number	number	NOUN
ajst-29868	120	5	of	of	ADP
ajst-29868	120	6	elements	element	NOUN
ajst-29868	120	7	in	in	ADP
ajst-29868	120	8	𝑦	𝑦	PRON
ajst-29868	120	9	,	,	PUNCT
ajst-29868	120	10	the	the	DET
ajst-29868	120	11	existing	exist	VERB
ajst-29868	120	12	label	label	NOUN
ajst-29868	120	13	set	set	VERB
ajst-29868	120	14	𝑦	𝑦	NOUN
ajst-29868	120	15	is	be	AUX
ajst-29868	120	16	divided	divide	VERB
ajst-29868	120	17	into	into	ADP
ajst-29868	120	18	|𝑆|	|𝑆|	VERB
ajst-29868	120	19	subsets	subset	NOUN
ajst-29868	120	20	𝑅	𝑅	PROPN
ajst-29868	120	21	.	.	PUNCT
ajst-29868	121	1	secondly	secondly	ADV
ajst-29868	121	2	,	,	PUNCT
ajst-29868	121	3	all	all	DET
ajst-29868	121	4	initial	initial	ADJ
ajst-29868	121	5	label	label	NOUN
ajst-29868	121	6	set	set	VERB
ajst-29868	121	7	covers	cover	NOUN
ajst-29868	121	8	in	in	ADP
ajst-29868	121	9	the	the	DET
ajst-29868	121	10	set	set	NOUN
ajst-29868	121	11	𝑈	𝑈	PROPN
ajst-29868	121	12	are	be	AUX
ajst-29868	121	13	identified	identify	VERB
ajst-29868	121	14	and	and	CCONJ
ajst-29868	121	15	retained	retain	VERB
ajst-29868	121	16	.	.	PUNCT
ajst-29868	122	1	thirdly	thirdly	ADV
ajst-29868	122	2	,	,	PUNCT
ajst-29868	122	3	the	the	DET
ajst-29868	122	4	valid	valid	ADJ
ajst-29868	122	5	label	label	NOUN
ajst-29868	122	6	set	set	VERB
ajst-29868	122	7	covers	cover	NOUN
ajst-29868	122	8	in	in	ADP
ajst-29868	122	9	𝑈	𝑈	PROPN
ajst-29868	122	10	are	be	AUX
ajst-29868	122	11	simplified	simplify	VERB
ajst-29868	122	12	.	.	PUNCT
ajst-29868	123	1	finally	finally	ADV
ajst-29868	123	2	,	,	PUNCT
ajst-29868	123	3	the	the	DET
ajst-29868	123	4	set	set	NOUN
ajst-29868	123	5	of	of	ADP
ajst-29868	123	6	valid	valid	ADJ
ajst-29868	123	7	label	label	NOUN
ajst-29868	123	8	set	set	NOUN
ajst-29868	123	9	covers	cover	VERB
ajst-29868	123	10	𝑈	𝑈	PROPN
ajst-29868	123	11	is	be	AUX
ajst-29868	123	12	deduplicated	deduplicate	VERB
ajst-29868	123	13	.	.	PUNCT
ajst-29868	124	1	for	for	ADP
ajst-29868	124	2	an	an	DET
ajst-29868	124	3	𝑚	𝑚	PROPN
ajst-29868	124	4	-class	-class	PROPN
ajst-29868	124	5	classification	classification	NOUN
ajst-29868	124	6	task	task	NOUN
ajst-29868	124	7	,	,	PUNCT
ajst-29868	124	8	the	the	DET
ajst-29868	124	9	set	set	NOUN
ajst-29868	124	10	of	of	ADP
ajst-29868	124	11	all	all	DET
ajst-29868	124	12	possible	possible	ADJ
ajst-29868	124	13	classes	class	NOUN
ajst-29868	124	14	is	be	AUX
ajst-29868	124	15	denoted	denote	VERB
ajst-29868	124	16	as	as	ADP
ajst-29868	124	17	𝑆	𝑆	PROPN
ajst-29868	124	18	𝑠	𝑠	PROPN
ajst-29868	124	19	,	,	PUNCT
ajst-29868	124	20	𝑠	𝑠	PROPN
ajst-29868	124	21	,	,	PUNCT
ajst-29868	124	22	.	.	PUNCT
ajst-29868	124	23	.	.	PUNCT
ajst-29868	125	1	.	.	PUNCT
ajst-29868	126	1	,	,	PUNCT
ajst-29868	126	2	𝑠	𝑠	INTJ
ajst-29868	126	3	.	.	PUNCT
ajst-29868	127	1	given	give	VERB
ajst-29868	127	2	(	(	PUNCT
ajst-29868	127	3	n	n	CCONJ
ajst-29868	127	4	)	)	PUNCT
ajst-29868	127	5	data	datum	NOUN
ajst-29868	127	6	samples	sample	NOUN
ajst-29868	127	7	x∈	x∈	PROPN
ajst-29868	127	8	𝑅	𝑅	PROPN
ajst-29868	127	9	and	and	CCONJ
ajst-29868	127	10	labels	label	VERB
ajst-29868	127	11	𝑋	𝑋	PROPN
ajst-29868	127	12	𝑥	𝑥	PROPN
ajst-29868	127	13	,	,	PUNCT
ajst-29868	127	14	𝑥	𝑥	X
ajst-29868	127	15	,	,	PUNCT
ajst-29868	127	16	.	.	PUNCT
ajst-29868	127	17	.	.	PUNCT
ajst-29868	127	18	.	.	PUNCT
ajst-29868	128	1	,	,	PUNCT
ajst-29868	128	2	𝑥	𝑥	X
ajst-29868	128	3	,	,	PUNCT
ajst-29868	128	4	𝑌	𝑌	PROPN
ajst-29868	128	5	𝑦	𝑦	PROPN
ajst-29868	128	6	,	,	PUNCT
ajst-29868	128	7	𝑦	𝑦	NOUN
ajst-29868	128	8	,	,	PUNCT
ajst-29868	128	9	.	.	PUNCT
ajst-29868	128	10	.	.	PUNCT
ajst-29868	129	1	.	.	PUNCT
ajst-29868	130	1	,	,	PUNCT
ajst-29868	130	2	𝑦	𝑦	X
ajst-29868	130	3	.	.	PUNCT
ajst-29868	131	1	each	each	PRON
ajst-29868	131	2	(	(	PUNCT
ajst-29868	131	3	𝑥	𝑥	INTJ
ajst-29868	131	4	,	,	PUNCT
ajst-29868	131	5	in	in	ADP
ajst-29868	131	6	{	{	PUNCT
ajst-29868	131	7	r}^d	r}^d	PROPN
ajst-29868	131	8	)	)	PUNCT
ajst-29868	131	9	is	be	AUX
ajst-29868	131	10	a	a	DET
ajst-29868	131	11	(	(	PUNCT
ajst-29868	131	12	d)-dimensional	d)-dimensional	ADJ
ajst-29868	131	13	vector	vector	NOUN
ajst-29868	131	14	,	,	PUNCT
ajst-29868	131	15	and	and	CCONJ
ajst-29868	131	16	𝑦	𝑦	NOUN
ajst-29868	131	17	is	be	AUX
ajst-29868	131	18	a	a	DET
ajst-29868	131	19	set	set	NOUN
ajst-29868	131	20	containing	contain	VERB
ajst-29868	131	21	one	one	NUM
ajst-29868	131	22	or	or	CCONJ
ajst-29868	131	23	more	more	ADJ
ajst-29868	131	24	elements	element	NOUN
ajst-29868	131	25	,	,	PUNCT
ajst-29868	131	26	with	with	ADP
ajst-29868	131	27	(	(	PUNCT
ajst-29868	131	28	|𝑦	|𝑦	PROPN
ajst-29868	131	29	|	|	ADV
ajst-29868	131	30	leq	leq	PROPN
ajst-29868	131	31	m	m	PROPN
ajst-29868	131	32	)	)	PUNCT
ajst-29868	131	33	(	(	PUNCT
ajst-29868	131	34	meaning	mean	VERB
ajst-29868	131	35	the	the	DET
ajst-29868	131	36	maximum	maximum	ADJ
ajst-29868	131	37	number	number	NOUN
ajst-29868	131	38	of	of	ADP
ajst-29868	131	39	elements	element	NOUN
ajst-29868	131	40	in	in	ADP
ajst-29868	131	41	(	(	PUNCT
ajst-29868	131	42	𝑦	𝑦	NOUN
ajst-29868	131	43	)	)	PUNCT
ajst-29868	131	44	is	be	AUX
ajst-29868	131	45	(	(	PUNCT
ajst-29868	131	46	m	m	NOUN
ajst-29868	131	47	)	)	PUNCT
ajst-29868	131	48	)	)	PUNCT
ajst-29868	131	49	.	.	PUNCT
ajst-29868	132	1	let	let	VERB
ajst-29868	132	2	𝑆	𝑆	PROPN
ajst-29868	132	3	𝑠	𝑠	PROPN
ajst-29868	132	4	,	,	PUNCT
ajst-29868	132	5	𝑠	𝑠	PROPN
ajst-29868	132	6	,	,	PUNCT
ajst-29868	132	7	.	.	PUNCT
ajst-29868	132	8	.	.	PUNCT
ajst-29868	133	1	.	.	PUNCT
ajst-29868	134	1	,	,	PUNCT
ajst-29868	134	2	𝑠	𝑠	INTJ
ajst-29868	134	3	be	be	AUX
ajst-29868	134	4	the	the	DET
ajst-29868	134	5	set	set	NOUN
ajst-29868	134	6	of	of	ADP
ajst-29868	134	7	crisp	crisp	ADJ
ajst-29868	134	8	labels	label	NOUN
ajst-29868	134	9	,	,	PUNCT
ajst-29868	134	10	and	and	CCONJ
ajst-29868	134	11	𝑦	𝑦	NOUN
ajst-29868	134	12	be	be	AUX
ajst-29868	134	13	a	a	DET
ajst-29868	134	14	fuzzy	fuzzy	ADJ
ajst-29868	134	15	label	label	NOUN
ajst-29868	134	16	.	.	PUNCT
ajst-29868	135	1	classifying	classify	VERB
ajst-29868	135	2	data	datum	NOUN
ajst-29868	135	3	with	with	ADP
ajst-29868	135	4	fuzzy	fuzzy	ADJ
ajst-29868	135	5	labels	label	NOUN
ajst-29868	135	6	involves	involve	VERB
ajst-29868	135	7	learning	learn	VERB
ajst-29868	135	8	a	a	DET
ajst-29868	135	9	classifier	classifier	NOUN
ajst-29868	135	10	from	from	ADP
ajst-29868	135	11	𝑋	𝑋	PROPN
ajst-29868	135	12	and	and	CCONJ
ajst-29868	135	13	𝑌	𝑌	PROPN
ajst-29868	135	14	,	,	PUNCT
ajst-29868	135	15	where	where	SCONJ
ajst-29868	135	16	some	some	PRON
ajst-29868	135	17	of	of	ADP
ajst-29868	135	18	the	the	DET
ajst-29868	135	19	𝑦	𝑦	NOUN
ajst-29868	135	20	may	may	AUX
ajst-29868	135	21	be	be	AUX
ajst-29868	135	22	the	the	DET
ajst-29868	135	23	fuzzy	fuzzy	ADJ
ajst-29868	135	24	labels	label	NOUN
ajst-29868	135	25	defined	define	VERB
ajst-29868	135	26	above	above	ADV
ajst-29868	135	27	.	.	PUNCT
ajst-29868	136	1	the	the	DET
ajst-29868	136	2	classifier	classifier	NOUN
ajst-29868	136	3	should	should	AUX
ajst-29868	136	4	be	be	AUX
ajst-29868	136	5	capable	capable	ADJ
ajst-29868	136	6	of	of	ADP
ajst-29868	136	7	categorizing	categorize	VERB
ajst-29868	136	8	new	new	ADJ
ajst-29868	136	9	samples	sample	NOUN
ajst-29868	136	10	into	into	ADP
ajst-29868	136	11	crisp	crisp	ADJ
ajst-29868	136	12	classes	class	NOUN
ajst-29868	136	13	,	,	PUNCT
ajst-29868	136	14	even	even	ADV
ajst-29868	136	15	if	if	SCONJ
ajst-29868	136	16	there	there	PRON
ajst-29868	136	17	is	be	VERB
ajst-29868	136	18	no	no	DET
ajst-29868	136	19	relevant	relevant	ADJ
ajst-29868	136	20	data	datum	NOUN
ajst-29868	136	21	for	for	ADP
ajst-29868	136	22	such	such	ADJ
ajst-29868	136	23	classes	class	NOUN
ajst-29868	136	24	in	in	ADP
ajst-29868	136	25	𝑋.	𝑋.	PROPN
ajst-29868	136	26	when	when	SCONJ
ajst-29868	136	27	a	a	DET
ajst-29868	136	28	sample	sample	NOUN
ajst-29868	136	29	is	be	AUX
ajst-29868	136	30	labeled	label	VERB
ajst-29868	136	31	,	,	PUNCT
ajst-29868	136	32	it	it	PRON
ajst-29868	136	33	is	be	AUX
ajst-29868	136	34	sometimes	sometimes	ADV
ajst-29868	136	35	impossible	impossible	ADJ
ajst-29868	136	36	to	to	PART
ajst-29868	136	37	assign	assign	VERB
ajst-29868	136	38	a	a	DET
ajst-29868	136	39	precise	precise	ADJ
ajst-29868	136	40	label	label	NOUN
ajst-29868	136	41	to	to	ADP
ajst-29868	136	42	the	the	DET
ajst-29868	136	43	sample	sample	NOUN
ajst-29868	136	44	.	.	PUNCT
ajst-29868	137	1	in	in	ADP
ajst-29868	137	2	such	such	ADJ
ajst-29868	137	3	cases	case	NOUN
ajst-29868	137	4	,	,	PUNCT
ajst-29868	137	5	more	more	ADV
ajst-29868	137	6	reasonable	reasonable	ADJ
ajst-29868	137	7	fuzzy	fuzzy	ADJ
ajst-29868	137	8	labels	label	NOUN
ajst-29868	137	9	are	be	AUX
ajst-29868	137	10	used	use	VERB
ajst-29868	137	11	to	to	PART
ajst-29868	137	12	avoid	avoid	VERB
ajst-29868	137	13	incorrect	incorrect	ADJ
ajst-29868	137	14	labeling	labeling	NOUN
ajst-29868	137	15	.	.	PUNCT
ajst-29868	138	1	algorithm	algorithm	NOUN
ajst-29868	138	2	3	3	NUM
ajst-29868	138	3	.	.	PUNCT
ajst-29868	138	4	fuzzy	fuzzy	ADJ
ajst-29868	138	5	label	label	NOUN
ajst-29868	138	6	classification	classification	NOUN
ajst-29868	138	7	input	input	NOUN
ajst-29868	138	8	:	:	PUNCT
ajst-29868	138	9	data	datum	NOUN
ajst-29868	138	10	samples	sample	VERB
ajst-29868	138	11	𝑋	𝑋	PROPN
ajst-29868	138	12	∈	∈	PROPN
ajst-29868	138	13	𝑅	𝑅	PROPN
ajst-29868	138	14	,	,	PUNCT
ajst-29868	138	15	labels	label	VERB
ajst-29868	138	16	y	y	NOUN
ajst-29868	138	17	,	,	PUNCT
ajst-29868	138	18	number	number	NOUN
ajst-29868	138	19	of	of	ADP
ajst-29868	138	20	classes	class	NOUN
ajst-29868	138	21	m.	m.	NOUN
ajst-29868	138	22	output	output	NOUN
ajst-29868	138	23	:	:	PUNCT
ajst-29868	138	24	de	de	ADJ
ajst-29868	138	25	-	-	ADJ
ajst-29868	138	26	duplicated	duplicate	VERB
ajst-29868	138	27	and	and	CCONJ
ajst-29868	138	28	simplified	simplified	ADJ
ajst-29868	138	29	set	set	NOUN
ajst-29868	138	30	of	of	ADP
ajst-29868	138	31	effective	effective	ADJ
ajst-29868	138	32	label	label	NOUN
ajst-29868	138	33	cover	cover	NOUN
ajst-29868	138	34	sets	set	NOUN
ajst-29868	138	35	𝑈	𝑈	PROPN
ajst-29868	138	36	begin	begin	VERB
ajst-29868	138	37	:	:	PUNCT
ajst-29868	138	38	define	define	VERB
ajst-29868	138	39	class	class	NOUN
ajst-29868	138	40	set	set	NOUN
ajst-29868	138	41	let	let	VERB
ajst-29868	138	42	𝑆	𝑆	PROPN
ajst-29868	138	43	𝑠	𝑠	PROPN
ajst-29868	138	44	,	,	PUNCT
ajst-29868	138	45	𝑠	𝑠	PROPN
ajst-29868	138	46	,	,	PUNCT
ajst-29868	138	47	.	.	PUNCT
ajst-29868	138	48	.	.	PUNCT
ajst-29868	139	1	.	.	PUNCT
ajst-29868	140	1	,	,	PUNCT
ajst-29868	140	2	𝑠	𝑠	INTJ
ajst-29868	140	3	be	be	AUX
ajst-29868	140	4	the	the	DET
ajst-29868	140	5	set	set	NOUN
ajst-29868	140	6	of	of	ADP
ajst-29868	140	7	all	all	DET
ajst-29868	140	8	possible	possible	ADJ
ajst-29868	140	9	classes	class	NOUN
ajst-29868	140	10	.	.	PUNCT
ajst-29868	141	1	initialize	initialize	VERB
ajst-29868	141	2	data	datum	NOUN
ajst-29868	141	3	and	and	CCONJ
ajst-29868	141	4	labels	label	NOUN
ajst-29868	141	5	𝑋	𝑋	PROPN
ajst-29868	141	6	𝑥	𝑥	PROPN
ajst-29868	141	7	,	,	PUNCT
ajst-29868	141	8	𝑥	𝑥	X
ajst-29868	141	9	,	,	PUNCT
ajst-29868	141	10	.	.	PUNCT
ajst-29868	141	11	.	.	PUNCT
ajst-29868	142	1	.	.	PUNCT
ajst-29868	143	1	,	,	PUNCT
ajst-29868	143	2	𝑥	𝑥	X
ajst-29868	143	3	where	where	SCONJ
ajst-29868	143	4	each	each	DET
ajst-29868	143	5	𝑥	𝑥	PRON
ajst-29868	143	6	∈	∈	PROPN
ajst-29868	143	7	𝑅	𝑅	PROPN
ajst-29868	143	8	is	be	AUX
ajst-29868	143	9	a	a	DET
ajst-29868	143	10	ddimensional	ddimensional	ADJ
ajst-29868	143	11	vector	vector	NOUN
ajst-29868	143	12	.	.	PUNCT
ajst-29868	144	1	𝑌	𝑌	PROPN
ajst-29868	144	2	𝑦	𝑦	SYM
ajst-29868	144	3	,	,	PUNCT
ajst-29868	144	4	𝑦	𝑦	NOUN
ajst-29868	144	5	,	,	PUNCT
ajst-29868	144	6	.	.	PUNCT
ajst-29868	144	7	.	.	PUNCT
ajst-29868	144	8	.	.	PUNCT
ajst-29868	145	1	,	,	PUNCT
ajst-29868	145	2	𝑦	𝑦	PRON
ajst-29868	145	3	where	where	SCONJ
ajst-29868	145	4	each	each	DET
ajst-29868	145	5	𝑦	𝑦	NOUN
ajst-29868	145	6	is	be	AUX
ajst-29868	145	7	a	a	DET
ajst-29868	145	8	set	set	NOUN
ajst-29868	145	9	with	with	ADP
ajst-29868	145	10	|𝑦	|𝑦	PROPN
ajst-29868	145	11	|	|	ADV
ajst-29868	145	12	𝑚.	𝑚.	ADV
ajst-29868	145	13	split	split	VERB
ajst-29868	145	14	label	label	NOUN
ajst-29868	145	15	set	set	VERB
ajst-29868	145	16	for	for	ADP
ajst-29868	145	17	each	each	DET
ajst-29868	145	18	𝑦	𝑦	NOUN
ajst-29868	145	19	̂.in	̂.in	ADJ
ajst-29868	145	20	ŷ	ŷ	NOUN
ajst-29868	145	21	,	,	PUNCT
ajst-29868	145	22	split	split	VERB
ajst-29868	145	23	the	the	DET
ajst-29868	145	24	label	label	NOUN
ajst-29868	145	25	set	set	VERB
ajst-29868	145	26	ŷ	ŷ	NOUN
ajst-29868	145	27	into	into	ADP
ajst-29868	145	28	|s|	|s|	NOUN
ajst-29868	145	29	subsets	subset	NOUN
ajst-29868	145	30	𝑅_𝑗	𝑅_𝑗	VERB
ajst-29868	146	1	based	base	VERB
ajst-29868	146	2	on	on	ADP
ajst-29868	146	3	the	the	DET
ajst-29868	146	4	number	number	NOUN
ajst-29868	146	5	of	of	ADP
ajst-29868	146	6	elements	element	NOUN
ajst-29868	146	7	in	in	ADP
ajst-29868	146	8	𝑦	𝑦	NOUN
ajst-29868	146	9	̂.	̂.	NOUN
ajst-29868	146	10	find	find	VERB
ajst-29868	146	11	initial	initial	ADJ
ajst-29868	146	12	label	label	NOUN
ajst-29868	146	13	cover	cover	NOUN
ajst-29868	146	14	sets	set	NOUN
ajst-29868	146	15	initialize	initialize	VERB
ajst-29868	146	16	an	an	DET
ajst-29868	146	17	empty	empty	ADJ
ajst-29868	146	18	set	set	VERB
ajst-29868	146	19	u	u	NOUN
ajst-29868	146	20	for	for	ADP
ajst-29868	146	21	storing	store	VERB
ajst-29868	146	22	label	label	NOUN
ajst-29868	146	23	cover	cover	NOUN
ajst-29868	146	24	sets	set	NOUN
ajst-29868	146	25	.	.	PUNCT
ajst-29868	147	1	for	for	ADP
ajst-29868	147	2	each	each	DET
ajst-29868	147	3	subset	subset	NOUN
ajst-29868	147	4	𝑅	𝑅	PROPN
ajst-29868	147	5	,	,	PUNCT
ajst-29868	147	6	find	find	VERB
ajst-29868	147	7	all	all	DET
ajst-29868	147	8	initial	initial	ADJ
ajst-29868	147	9	label	label	NOUN
ajst-29868	147	10	cover	cover	NOUN
ajst-29868	147	11	sets	set	NOUN
ajst-29868	147	12	and	and	CCONJ
ajst-29868	147	13	add	add	VERB
ajst-29868	147	14	them	they	PRON
ajst-29868	147	15	to	to	PART
ajst-29868	147	16	u.	u.	AUX
ajst-29868	147	17	simplify	simplify	VERB
ajst-29868	147	18	label	label	NOUN
ajst-29868	147	19	cover	cover	NOUN
ajst-29868	147	20	sets	set	NOUN
ajst-29868	147	21	for	for	ADP
ajst-29868	147	22	each	each	DET
ajst-29868	147	23	label	label	NOUN
ajst-29868	147	24	cover	cover	NOUN
ajst-29868	147	25	set	set	VERB
ajst-29868	147	26	in	in	ADP
ajst-29868	147	27	u	u	NOUN
ajst-29868	147	28	,	,	PUNCT
ajst-29868	147	29	perform	perform	VERB
ajst-29868	147	30	simplification	simplification	NOUN
ajst-29868	147	31	to	to	PART
ajst-29868	147	32	remove	remove	VERB
ajst-29868	147	33	redundant	redundant	ADJ
ajst-29868	147	34	labels	label	NOUN
ajst-29868	147	35	that	that	PRON
ajst-29868	147	36	do	do	AUX
ajst-29868	147	37	not	not	PART
ajst-29868	147	38	contribute	contribute	VERB
ajst-29868	147	39	to	to	ADP
ajst-29868	147	40	the	the	DET
ajst-29868	147	41	classification	classification	NOUN
ajst-29868	147	42	.	.	PUNCT
ajst-29868	148	1	validate	validate	VERB
ajst-29868	148	2	effective	effective	ADJ
ajst-29868	148	3	label	label	NOUN
ajst-29868	148	4	cover	cover	NOUN
ajst-29868	148	5	sets	set	NOUN
ajst-29868	148	6	for	for	ADP
ajst-29868	148	7	each	each	DET
ajst-29868	148	8	label	label	NOUN
ajst-29868	148	9	cover	cover	NOUN
ajst-29868	148	10	set	set	VERB
ajst-29868	148	11	in	in	ADP
ajst-29868	148	12	u	u	NOUN
ajst-29868	148	13	,	,	PUNCT
ajst-29868	148	14	validate	validate	VERB
ajst-29868	148	15	to	to	PART
ajst-29868	148	16	ensure	ensure	VERB
ajst-29868	148	17	it	it	PRON
ajst-29868	148	18	is	be	AUX
ajst-29868	148	19	effective	effective	ADJ
ajst-29868	148	20	for	for	ADP
ajst-29868	148	21	classification	classification	NOUN
ajst-29868	148	22	,	,	PUNCT
ajst-29868	148	23	considering	consider	VERB
ajst-29868	148	24	the	the	DET
ajst-29868	148	25	ability	ability	NOUN
ajst-29868	148	26	to	to	PART
ajst-29868	148	27	classify	classify	VERB
ajst-29868	148	28	new	new	ADJ
ajst-29868	148	29	samples	sample	NOUN
ajst-29868	148	30	to	to	ADP
ajst-29868	148	31	precise	precise	ADJ
ajst-29868	148	32	classes	class	NOUN
ajst-29868	148	33	even	even	ADV
ajst-29868	148	34	if	if	SCONJ
ajst-29868	148	35	not	not	PART
ajst-29868	148	36	present	present	ADJ
ajst-29868	148	37	in	in	ADP
ajst-29868	148	38	x.	x.	PROPN
ajst-29868	148	39	de	de	PROPN
ajst-29868	148	40	-	-	NOUN
ajst-29868	148	41	duplicate	duplicate	ADJ
ajst-29868	148	42	label	label	NOUN
ajst-29868	148	43	cover	cover	NOUN
ajst-29868	148	44	sets	set	NOUN
ajst-29868	148	45	perform	perform	VERB
ajst-29868	148	46	de	de	NOUN
ajst-29868	148	47	-	-	NOUN
ajst-29868	148	48	duplication	duplication	NOUN
ajst-29868	148	49	on	on	ADP
ajst-29868	148	50	the	the	DET
ajst-29868	148	51	set	set	NOUN
ajst-29868	148	52	u	u	NOUN
ajst-29868	148	53	to	to	PART
ajst-29868	148	54	remove	remove	VERB
ajst-29868	148	55	any	any	DET
ajst-29868	148	56	duplicate	duplicate	ADJ
ajst-29868	148	57	label	label	NOUN
ajst-29868	148	58	cover	cover	NOUN
ajst-29868	148	59	sets	set	NOUN
ajst-29868	148	60	.	.	PUNCT
ajst-29868	149	1	handle	handle	VERB
ajst-29868	149	2	fuzzy	fuzzy	ADJ
ajst-29868	149	3	labels	label	NOUN
ajst-29868	149	4	for	for	ADP
ajst-29868	149	5	samples	sample	NOUN
ajst-29868	149	6	that	that	PRON
ajst-29868	149	7	can	can	AUX
ajst-29868	149	8	not	not	PART
ajst-29868	149	9	be	be	AUX
ajst-29868	149	10	assigned	assign	VERB
ajst-29868	149	11	a	a	DET
ajst-29868	149	12	precise	precise	ADJ
ajst-29868	149	13	label	label	NOUN
ajst-29868	149	14	,	,	PUNCT
ajst-29868	149	15	use	use	VERB
ajst-29868	149	16	reasonable	reasonable	ADJ
ajst-29868	149	17	fuzzy	fuzzy	ADJ
ajst-29868	149	18	labels	label	NOUN
ajst-29868	149	19	to	to	PART
ajst-29868	149	20	avoid	avoid	VERB
ajst-29868	149	21	incorrect	incorrect	ADJ
ajst-29868	149	22	labeling	labeling	NOUN
ajst-29868	149	23	.	.	PUNCT
ajst-29868	150	1	return	return	VERB
ajst-29868	150	2	results	result	NOUN
ajst-29868	150	3	return	return	VERB
ajst-29868	150	4	the	the	DET
ajst-29868	150	5	de	de	NOUN
ajst-29868	150	6	-	-	ADJ
ajst-29868	150	7	duplicated	duplicate	VERB
ajst-29868	150	8	and	and	CCONJ
ajst-29868	150	9	simplified	simplified	ADJ
ajst-29868	150	10	set	set	NOUN
ajst-29868	150	11	of	of	ADP
ajst-29868	150	12	effective	effective	ADJ
ajst-29868	150	13	label	label	NOUN
ajst-29868	150	14	cover	cover	NOUN
ajst-29868	150	15	sets	set	NOUN
ajst-29868	150	16	u.	u.	NOUN
ajst-29868	150	17	end	end	NOUN
ajst-29868	150	18	.	.	PUNCT
ajst-29868	151	1	assuming	assume	VERB
ajst-29868	151	2	considering	consider	VERB
ajst-29868	151	3	m	m	VERB
ajst-29868	151	4	mutually	mutually	ADV
ajst-29868	151	5	exclusive	exclusive	ADJ
ajst-29868	151	6	categories	category	NOUN
ajst-29868	151	7	,	,	PUNCT
ajst-29868	151	8	the	the	DET
ajst-29868	151	9	recognition	recognition	NOUN
ajst-29868	151	10	framework	framework	NOUN
ajst-29868	151	11	h	h	NOUN
ajst-29868	151	12	is	be	AUX
ajst-29868	151	13	constructed	construct	VERB
ajst-29868	151	14	as	as	ADP
ajst-29868	151	15	:	:	PUNCT
ajst-29868	151	16	𝜃	𝜃	X
ajst-29868	151	17	𝐻	𝐻	NOUN
ajst-29868	151	18	,	,	PUNCT
ajst-29868	151	19	𝐻	𝐻	PROPN
ajst-29868	151	20	,	,	PUNCT
ajst-29868	151	21	…	…	PUNCT
ajst-29868	151	22	,	,	PUNCT
ajst-29868	151	23	𝐻	𝐻	PROPN
ajst-29868	151	24	,	,	PUNCT
ajst-29868	151	25	each	each	DET
ajst-29868	151	26	element	element	NOUN
ajst-29868	151	27	represents	represent	VERB
ajst-29868	151	28	a	a	DET
ajst-29868	151	29	specific	specific	ADJ
ajst-29868	151	30	category	category	NOUN
ajst-29868	151	31	,	,	PUNCT
ajst-29868	151	32	corresponding	correspond	VERB
ajst-29868	151	33	to	to	ADP
ajst-29868	151	34	a	a	DET
ajst-29868	151	35	true	true	ADJ
ajst-29868	151	36	label	label	NOUN
ajst-29868	151	37	.	.	PUNCT
ajst-29868	152	1	then	then	ADV
ajst-29868	152	2	,	,	PUNCT
ajst-29868	152	3	the	the	DET
ajst-29868	152	4	power	power	NOUN
ajst-29868	152	5	set	set	NOUN
ajst-29868	152	6	is	be	AUX
ajst-29868	152	7	constructed	construct	VERB
ajst-29868	152	8	:	:	PUNCT
ajst-29868	152	9	2^𝜃	2^𝜃	NUM
ajst-29868	152	10	∅	∅	NOUN
ajst-29868	152	11	，	，	PUNCT
ajst-29868	152	12	𝐻	𝐻	PROPN
ajst-29868	152	13	，	，	PUNCT
ajst-29868	152	14	𝐻	𝐻	PROPN
ajst-29868	152	15	,	,	PUNCT
ajst-29868	152	16	…	…	PUNCT
ajst-29868	152	17	,	,	PUNCT
ajst-29868	152	18	𝐻	𝐻	NOUN
ajst-29868	152	19	，	，	PUNCT
ajst-29868	152	20	𝐻	𝐻	PROPN
ajst-29868	152	21	,	,	PUNCT
ajst-29868	152	22	𝐻	𝐻	PROPN
ajst-29868	152	23	…	…	PUNCT
ajst-29868	152	24	…	…	PUNCT
ajst-29868	152	25	𝐻	𝐻	NOUN
ajst-29868	152	26	,	,	PUNCT
ajst-29868	152	27	𝐻	𝐻	PROPN
ajst-29868	152	28	…	…	PUNCT
ajst-29868	152	29	…	…	PUNCT
ajst-29868	152	30	𝐻	𝐻	NOUN
ajst-29868	152	31	(	(	PUNCT
ajst-29868	152	32	6	6	NUM
ajst-29868	152	33	)	)	PUNCT
ajst-29868	152	34	if	if	SCONJ
ajst-29868	152	35	there	there	PRON
ajst-29868	152	36	is	be	VERB
ajst-29868	152	37	a	a	DET
ajst-29868	152	38	high	high	ADJ
ajst-29868	152	39	conflict	conflict	NOUN
ajst-29868	152	40	between	between	ADP
ajst-29868	152	41	pieces	piece	NOUN
ajst-29868	152	42	of	of	ADP
ajst-29868	152	43	evidence	evidence	NOUN
ajst-29868	152	44	,	,	PUNCT
ajst-29868	152	45	the	the	DET
ajst-29868	152	46	synthesis	synthesis	NOUN
ajst-29868	152	47	rules	rule	NOUN
ajst-29868	152	48	of	of	ADP
ajst-29868	152	49	evidence	evidence	NOUN
ajst-29868	152	50	fusion	fusion	NOUN
ajst-29868	152	51	may	may	AUX
ajst-29868	152	52	lead	lead	VERB
ajst-29868	152	53	to	to	ADP
ajst-29868	152	54	counterintuitive	counterintuitive	ADJ
ajst-29868	152	55	results	result	NOUN
ajst-29868	152	56	during	during	ADP
ajst-29868	152	57	the	the	DET
ajst-29868	152	58	normalization	normalization	NOUN
ajst-29868	152	59	process	process	NOUN
ajst-29868	152	60	.	.	PUNCT
ajst-29868	153	1	therefore	therefore	ADV
ajst-29868	153	2	,	,	PUNCT
ajst-29868	153	3	to	to	PART
ajst-29868	153	4	avoid	avoid	VERB
ajst-29868	153	5	this	this	DET
ajst-29868	153	6	phenomenon	phenomenon	NOUN
ajst-29868	153	7	,	,	PUNCT
ajst-29868	153	8	this	this	DET
ajst-29868	153	9	paper	paper	NOUN
ajst-29868	153	10	adopts	adopt	VERB
ajst-29868	153	11	the	the	DET
ajst-29868	153	12	following	follow	VERB
ajst-29868	153	13	strategies	strategy	NOUN
ajst-29868	153	14	:	:	PUNCT
ajst-29868	153	15	first	first	ADJ
ajst-29868	153	16	,	,	PUNCT
ajst-29868	153	17	if	if	SCONJ
ajst-29868	153	18	a	a	DET
ajst-29868	153	19	bpa	bpa	NOUN
ajst-29868	153	20	is	be	AUX
ajst-29868	153	21	supported	support	VERB
ajst-29868	153	22	by	by	ADP
ajst-29868	153	23	other	other	ADJ
ajst-29868	153	24	bpas	bpas	NOUN
ajst-29868	153	25	to	to	ADP
ajst-29868	153	26	a	a	DET
ajst-29868	153	27	greater	great	ADJ
ajst-29868	153	28	extent	extent	NOUN
ajst-29868	153	29	,	,	PUNCT
ajst-29868	153	30	its	its	PRON
ajst-29868	153	31	credibility	credibility	NOUN
ajst-29868	153	32	is	be	AUX
ajst-29868	153	33	higher	high	ADJ
ajst-29868	153	34	,	,	PUNCT
ajst-29868	153	35	and	and	CCONJ
ajst-29868	153	36	the	the	DET
ajst-29868	153	37	evidence	evidence	NOUN
ajst-29868	153	38	has	have	VERB
ajst-29868	153	39	a	a	DET
ajst-29868	153	40	greater	great	ADJ
ajst-29868	153	41	impact	impact	NOUN
ajst-29868	153	42	on	on	ADP
ajst-29868	153	43	the	the	DET
ajst-29868	153	44	final	final	ADJ
ajst-29868	153	45	fusion	fusion	NOUN
ajst-29868	153	46	result	result	NOUN
ajst-29868	153	47	,	,	PUNCT
ajst-29868	153	48	which	which	PRON
ajst-29868	153	49	can	can	AUX
ajst-29868	153	50	avoid	avoid	VERB
ajst-29868	153	51	over	over	ADP
ajst-29868	153	52	-	-	PUNCT
ajst-29868	153	53	reliance	reliance	NOUN
ajst-29868	153	54	on	on	ADP
ajst-29868	153	55	a	a	DET
ajst-29868	153	56	single	single	ADJ
ajst-29868	153	57	piece	piece	NOUN
ajst-29868	153	58	of	of	ADP
ajst-29868	153	59	evidence	evidence	NOUN
ajst-29868	153	60	.	.	PUNCT
ajst-29868	154	1	then	then	ADV
ajst-29868	154	2	,	,	PUNCT
ajst-29868	154	3	if	if	SCONJ
ajst-29868	154	4	there	there	PRON
ajst-29868	154	5	are	be	VERB
ajst-29868	154	6	n	n	DET
ajst-29868	154	7	base	base	NOUN
ajst-29868	154	8	classifiers	classifier	NOUN
ajst-29868	154	9	,	,	PUNCT
ajst-29868	154	10	in	in	ADP
ajst-29868	154	11	order	order	NOUN
ajst-29868	154	12	to	to	PART
ajst-29868	154	13	increase	increase	VERB
ajst-29868	154	14	the	the	DET
ajst-29868	154	15	confidence	confidence	NOUN
ajst-29868	154	16	of	of	ADP
ajst-29868	154	17	the	the	DET
ajst-29868	154	18	advantageous	advantageous	ADJ
ajst-29868	154	19	subset	subset	NOUN
ajst-29868	154	20	and	and	CCONJ
ajst-29868	154	21	provide	provide	VERB
ajst-29868	154	22	convergence	convergence	NOUN
ajst-29868	154	23	after	after	ADP
ajst-29868	154	24	weighted	weight	VERB
ajst-29868	154	25	averaging	averaging	NOUN
ajst-29868	154	26	,	,	PUNCT
ajst-29868	154	27	the	the	DET
ajst-29868	154	28	weighted	weighted	ADJ
ajst-29868	154	29	average	average	ADJ
ajst-29868	154	30	evidence	evidence	NOUN
ajst-29868	154	31	is	be	AUX
ajst-29868	154	32	combined	combine	VERB
ajst-29868	154	33	with	with	ADP
ajst-29868	154	34	itself	itself	PRON
ajst-29868	154	35	n-1	n-1	NOUN
ajst-29868	154	36	times	time	NOUN
ajst-29868	154	37	.	.	PUNCT
ajst-29868	155	1	there	there	PRON
ajst-29868	155	2	is	be	VERB
ajst-29868	155	3	no	no	DET
ajst-29868	155	4	risk	risk	NOUN
ajst-29868	155	5	of	of	ADP
ajst-29868	155	6	140	140	NUM
ajst-29868	155	7	potential	potential	ADJ
ajst-29868	155	8	counterintuitive	counterintuitive	ADJ
ajst-29868	155	9	combination	combination	NOUN
ajst-29868	155	10	results	result	NOUN
ajst-29868	155	11	due	due	ADP
ajst-29868	155	12	to	to	ADP
ajst-29868	155	13	high	high	ADJ
ajst-29868	155	14	conflict	conflict	NOUN
ajst-29868	155	15	.	.	PUNCT
ajst-29868	156	1	it	it	PRON
ajst-29868	156	2	can	can	AUX
ajst-29868	156	3	also	also	ADV
ajst-29868	156	4	provide	provide	VERB
ajst-29868	156	5	convergence	convergence	NOUN
ajst-29868	156	6	for	for	ADP
ajst-29868	156	7	subsequent	subsequent	ADJ
ajst-29868	156	8	decision	decision	NOUN
ajst-29868	156	9	-	-	PUNCT
ajst-29868	156	10	making	making	NOUN
ajst-29868	156	11	.	.	PUNCT
ajst-29868	157	1	if	if	SCONJ
ajst-29868	157	2	there	there	PRON
ajst-29868	157	3	is	be	VERB
ajst-29868	157	4	only	only	ADV
ajst-29868	157	5	a	a	DET
ajst-29868	157	6	single	single	ADJ
ajst-29868	157	7	value	value	NOUN
ajst-29868	157	8	in	in	ADP
ajst-29868	157	9	the	the	DET
ajst-29868	157	10	fusion	fusion	NOUN
ajst-29868	157	11	result	result	NOUN
ajst-29868	157	12	,	,	PUNCT
ajst-29868	157	13	you	you	PRON
ajst-29868	157	14	can	can	AUX
ajst-29868	157	15	simply	simply	ADV
ajst-29868	157	16	choose	choose	VERB
ajst-29868	157	17	the	the	DET
ajst-29868	157	18	category	category	NOUN
ajst-29868	157	19	with	with	ADP
ajst-29868	157	20	the	the	DET
ajst-29868	157	21	highest	high	ADJ
ajst-29868	157	22	probability	probability	NOUN
ajst-29868	157	23	.	.	PUNCT
ajst-29868	158	1	however	however	ADV
ajst-29868	158	2	,	,	PUNCT
ajst-29868	158	3	if	if	SCONJ
ajst-29868	158	4	there	there	PRON
ajst-29868	158	5	are	be	VERB
ajst-29868	158	6	ambiguous	ambiguous	ADJ
ajst-29868	158	7	labels	label	NOUN
ajst-29868	158	8	in	in	ADP
ajst-29868	158	9	the	the	DET
ajst-29868	158	10	outputs	output	NOUN
ajst-29868	158	11	of	of	ADP
ajst-29868	158	12	two	two	NUM
ajst-29868	158	13	different	different	ADJ
ajst-29868	158	14	classifiers	classifier	NOUN
ajst-29868	158	15	,	,	PUNCT
ajst-29868	158	16	there	there	PRON
ajst-29868	158	17	are	be	VERB
ajst-29868	158	18	multiple	multiple	ADJ
ajst-29868	158	19	hypotheses	hypothesis	NOUN
ajst-29868	158	20	in	in	ADP
ajst-29868	158	21	the	the	DET
ajst-29868	158	22	fusion	fusion	NOUN
ajst-29868	158	23	result	result	NOUN
ajst-29868	158	24	.	.	PUNCT
ajst-29868	159	1	this	this	DET
ajst-29868	159	2	paper	paper	NOUN
ajst-29868	159	3	proposes	propose	VERB
ajst-29868	159	4	a	a	DET
ajst-29868	159	5	solution	solution	NOUN
ajst-29868	159	6	to	to	PART
ajst-29868	159	7	distribute	distribute	VERB
ajst-29868	159	8	the	the	DET
ajst-29868	159	9	probabilities	probability	NOUN
ajst-29868	159	10	of	of	ADP
ajst-29868	159	11	multiple	multiple	ADJ
ajst-29868	159	12	hypotheses	hypothesis	NOUN
ajst-29868	159	13	according	accord	VERB
ajst-29868	159	14	to	to	ADP
ajst-29868	159	15	the	the	DET
ajst-29868	159	16	base	base	NOUN
ajst-29868	159	17	average	average	NOUN
ajst-29868	159	18	,	,	PUNCT
ajst-29868	159	19	called	call	VERB
ajst-29868	159	20	probability	probability	NOUN
ajst-29868	159	21	conversion	conversion	NOUN
ajst-29868	159	22	.	.	PUNCT
ajst-29868	160	1	it	it	PRON
ajst-29868	160	2	is	be	AUX
ajst-29868	160	3	a	a	DET
ajst-29868	160	4	transformation	transformation	NOUN
ajst-29868	160	5	method	method	NOUN
ajst-29868	160	6	similar	similar	ADJ
ajst-29868	160	7	to	to	ADP
ajst-29868	160	8	maximum	maximum	PROPN
ajst-29868	160	9	entropy	entropy	NOUN
ajst-29868	160	10	.	.	PUNCT
ajst-29868	161	1	the	the	DET
ajst-29868	161	2	pignistic	pignistic	ADJ
ajst-29868	161	3	probability	probability	NOUN
ajst-29868	161	4	transformation	transformation	NOUN
ajst-29868	161	5	is	be	AUX
ajst-29868	161	6	defined	define	VERB
ajst-29868	161	7	in	in	ADP
ajst-29868	161	8	the	the	DET
ajst-29868	161	9	transferable	transferable	ADJ
ajst-29868	161	10	belief	belief	NOUN
ajst-29868	161	11	model	model	NOUN
ajst-29868	161	12	(	(	PUNCT
ajst-29868	161	13	tbm	tbm	NOUN
ajst-29868	161	14	)	)	PUNCT
ajst-29868	161	15	.	.	PUNCT
ajst-29868	162	1	the	the	DET
ajst-29868	162	2	model	model	NOUN
ajst-29868	162	3	has	have	VERB
ajst-29868	162	4	a	a	DET
ajst-29868	162	5	two	two	NUM
ajst-29868	162	6	-	-	PUNCT
ajst-29868	162	7	layer	layer	NOUN
ajst-29868	162	8	structure	structure	NOUN
ajst-29868	162	9	,	,	PUNCT
ajst-29868	162	10	including	include	VERB
ajst-29868	162	11	the	the	DET
ajst-29868	162	12	belief	belief	NOUN
ajst-29868	162	13	layer	layer	NOUN
ajst-29868	162	14	and	and	CCONJ
ajst-29868	162	15	the	the	DET
ajst-29868	162	16	pignistic	pignistic	ADJ
ajst-29868	162	17	layer	layer	NOUN
ajst-29868	162	18	.	.	PUNCT
ajst-29868	163	1	these	these	DET
ajst-29868	163	2	two	two	NUM
ajst-29868	163	3	layers	layer	NOUN
ajst-29868	163	4	are	be	AUX
ajst-29868	163	5	usually	usually	ADV
ajst-29868	163	6	indistinguishable	indistinguishable	ADJ
ajst-29868	163	7	,	,	PUNCT
ajst-29868	163	8	and	and	CCONJ
ajst-29868	163	9	the	the	DET
ajst-29868	163	10	probability	probability	NOUN
ajst-29868	163	11	function	function	NOUN
ajst-29868	163	12	is	be	AUX
ajst-29868	163	13	used	use	VERB
ajst-29868	163	14	to	to	PART
ajst-29868	163	15	quantify	quantify	VERB
ajst-29868	163	16	the	the	DET
ajst-29868	163	17	confidence	confidence	NOUN
ajst-29868	163	18	on	on	ADP
ajst-29868	163	19	both	both	DET
ajst-29868	163	20	layers	layer	NOUN
ajst-29868	163	21	.	.	PUNCT
ajst-29868	164	1	confidence	confidence	NOUN
ajst-29868	164	2	is	be	AUX
ajst-29868	164	3	transmitted	transmit	VERB
ajst-29868	164	4	between	between	ADP
ajst-29868	164	5	pieces	piece	NOUN
ajst-29868	164	6	of	of	ADP
ajst-29868	164	7	evidence	evidence	NOUN
ajst-29868	164	8	in	in	ADP
ajst-29868	164	9	the	the	DET
ajst-29868	164	10	belief	belief	NOUN
ajst-29868	164	11	layer	layer	NOUN
ajst-29868	164	12	and	and	CCONJ
ajst-29868	164	13	is	be	AUX
ajst-29868	164	14	transformed	transform	VERB
ajst-29868	164	15	into	into	ADP
ajst-29868	164	16	pignistic	pignistic	ADJ
ajst-29868	164	17	probability	probability	NOUN
ajst-29868	164	18	using	use	VERB
ajst-29868	164	19	the	the	DET
ajst-29868	164	20	pignistic	pignistic	ADJ
ajst-29868	164	21	probability	probability	NOUN
ajst-29868	164	22	transformation	transformation	NOUN
ajst-29868	164	23	.	.	PUNCT
ajst-29868	165	1	after	after	ADP
ajst-29868	165	2	the	the	DET
ajst-29868	165	3	pignistic	pignistic	ADJ
ajst-29868	165	4	probability	probability	NOUN
ajst-29868	165	5	transformation	transformation	NOUN
ajst-29868	165	6	,	,	PUNCT
ajst-29868	165	7	the	the	DET
ajst-29868	165	8	fusion	fusion	NOUN
ajst-29868	165	9	result	result	NOUN
ajst-29868	165	10	is	be	AUX
ajst-29868	165	11	transformed	transform	VERB
ajst-29868	165	12	into	into	ADP
ajst-29868	165	13	𝑚	𝑚	PROPN
ajst-29868	165	14	.	.	PUNCT
ajst-29868	166	1	algorithm	algorithm	NOUN
ajst-29868	166	2	4	4	NUM
ajst-29868	166	3	.	.	PUNCT
ajst-29868	166	4	enhanced	enhance	VERB
ajst-29868	166	5	credibility	credibility	NOUN
ajst-29868	166	6	evidence	evidence	NOUN
ajst-29868	166	7	fusion	fusion	NOUN
ajst-29868	166	8	input	input	NOUN
ajst-29868	166	9	:	:	PUNCT
ajst-29868	166	10	belief	belief	NOUN
ajst-29868	166	11	degree	degree	NOUN
ajst-29868	166	12	assignments	assignment	NOUN
ajst-29868	166	13	(	(	PUNCT
ajst-29868	166	14	bpas	bpas	PROPN
ajst-29868	166	15	)	)	PUNCT
ajst-29868	166	16	from	from	ADP
ajst-29868	166	17	n	n	PRON
ajst-29868	166	18	base	base	NOUN
ajst-29868	166	19	classifiers	classifier	NOUN
ajst-29868	166	20	,	,	PUNCT
ajst-29868	166	21	evidence	evidence	NOUN
ajst-29868	166	22	set	set	VERB
ajst-29868	166	23	e.	e.	PROPN
ajst-29868	166	24	output	output	PROPN
ajst-29868	166	25	:	:	PUNCT
ajst-29868	166	26	de	de	ADJ
ajst-29868	166	27	-	-	ADJ
ajst-29868	166	28	conflicted	conflicted	ADJ
ajst-29868	166	29	and	and	CCONJ
ajst-29868	166	30	converged	converged	ADJ
ajst-29868	166	31	fusion	fusion	NOUN
ajst-29868	166	32	result	result	NOUN
ajst-29868	166	33	𝑚_𝑑𝑎.	𝑚_𝑑𝑎.	PROPN
ajst-29868	166	34	begin	begin	VERB
ajst-29868	166	35	:	:	PUNCT
ajst-29868	166	36	assess	assess	VERB
ajst-29868	166	37	belief	belief	NOUN
ajst-29868	166	38	degree	degree	NOUN
ajst-29868	166	39	support	support	NOUN
ajst-29868	166	40	for	for	ADP
ajst-29868	166	41	each	each	DET
ajst-29868	166	42	bpa	bpa	NOUN
ajst-29868	166	43	in	in	ADP
ajst-29868	166	44	e	e	NOUN
ajst-29868	166	45	,	,	PUNCT
ajst-29868	166	46	determine	determine	VERB
ajst-29868	166	47	the	the	DET
ajst-29868	166	48	support	support	NOUN
ajst-29868	166	49	it	it	PRON
ajst-29868	166	50	receives	receive	VERB
ajst-29868	166	51	from	from	ADP
ajst-29868	166	52	other	other	ADJ
ajst-29868	166	53	bpas	bpas	NOUN
ajst-29868	166	54	.	.	PUNCT
ajst-29868	167	1	assign	assign	VERB
ajst-29868	167	2	higher	high	ADJ
ajst-29868	167	3	credibility	credibility	NOUN
ajst-29868	167	4	to	to	PART
ajst-29868	167	5	bpas	bpas	VERB
ajst-29868	167	6	that	that	PRON
ajst-29868	167	7	receive	receive	VERB
ajst-29868	167	8	greater	great	ADJ
ajst-29868	167	9	support	support	NOUN
ajst-29868	167	10	.	.	PUNCT
ajst-29868	168	1	weighted	weight	VERB
ajst-29868	168	2	average	average	NOUN
ajst-29868	168	3	of	of	ADP
ajst-29868	168	4	evidence	evidence	NOUN
ajst-29868	168	5	calculate	calculate	VERB
ajst-29868	168	6	the	the	DET
ajst-29868	168	7	weighted	weighted	ADJ
ajst-29868	168	8	average	average	ADJ
ajst-29868	168	9	evidence	evidence	NOUN
ajst-29868	168	10	𝑚_𝑤𝑎	𝑚_𝑤𝑎	PRON
ajst-29868	168	11	,	,	PUNCT
ajst-29868	168	12	giving	give	VERB
ajst-29868	168	13	more	more	ADJ
ajst-29868	168	14	weight	weight	NOUN
ajst-29868	168	15	to	to	PART
ajst-29868	168	16	bpas	bpas	VERB
ajst-29868	168	17	with	with	ADP
ajst-29868	168	18	higher	high	ADJ
ajst-29868	168	19	credibility	credibility	NOUN
ajst-29868	168	20	.	.	PUNCT
ajst-29868	169	1	enhance	enhance	VERB
ajst-29868	169	2	sub	sub	ADJ
ajst-29868	169	3	-	-	ADJ
ajst-29868	169	4	set	set	ADJ
ajst-29868	169	5	confidence	confidence	NOUN
ajst-29868	169	6	and	and	CCONJ
ajst-29868	169	7	convergence	convergence	NOUN
ajst-29868	169	8	combine	combine	VERB
ajst-29868	169	9	the	the	DET
ajst-29868	169	10	weighted	weighted	ADJ
ajst-29868	169	11	average	average	ADJ
ajst-29868	169	12	evidence	evidence	NOUN
ajst-29868	169	13	𝑚_𝑤𝑎	𝑚_𝑤𝑎	VERB
ajst-29868	169	14	with	with	ADP
ajst-29868	169	15	itself	itself	PRON
ajst-29868	169	16	n-1	n-1	NOUN
ajst-29868	169	17	times	time	NOUN
ajst-29868	169	18	to	to	PART
ajst-29868	169	19	increase	increase	VERB
ajst-29868	169	20	the	the	DET
ajst-29868	169	21	confidence	confidence	NOUN
ajst-29868	169	22	of	of	ADP
ajst-29868	169	23	the	the	DET
ajst-29868	169	24	advantageous	advantageous	ADJ
ajst-29868	169	25	subset	subset	NOUN
ajst-29868	169	26	and	and	CCONJ
ajst-29868	169	27	ensure	ensure	VERB
ajst-29868	169	28	convergence	convergence	NOUN
ajst-29868	169	29	.	.	PUNCT
ajst-29868	170	1	handle	handle	VERB
ajst-29868	170	2	single	single	ADJ
ajst-29868	170	3	value	value	NOUN
ajst-29868	170	4	in	in	ADP
ajst-29868	170	5	fusion	fusion	NOUN
ajst-29868	170	6	result	result	NOUN
ajst-29868	170	7	if	if	SCONJ
ajst-29868	170	8	𝑚_𝑤𝑎	𝑚_𝑤𝑎	NOUN
ajst-29868	170	9	contains	contain	VERB
ajst-29868	170	10	only	only	ADV
ajst-29868	170	11	a	a	DET
ajst-29868	170	12	single	single	ADJ
ajst-29868	170	13	value	value	NOUN
ajst-29868	170	14	,	,	PUNCT
ajst-29868	170	15	select	select	VERB
ajst-29868	170	16	the	the	DET
ajst-29868	170	17	category	category	NOUN
ajst-29868	170	18	with	with	ADP
ajst-29868	170	19	the	the	DET
ajst-29868	170	20	highest	high	ADJ
ajst-29868	170	21	probability	probability	NOUN
ajst-29868	170	22	.	.	PUNCT
ajst-29868	171	1	handle	handle	VERB
ajst-29868	171	2	multiple	multiple	ADJ
ajst-29868	171	3	hypotheses	hypothesis	NOUN
ajst-29868	171	4	in	in	ADP
ajst-29868	171	5	fusion	fusion	NOUN
ajst-29868	171	6	result	result	NOUN
ajst-29868	171	7	if	if	SCONJ
ajst-29868	171	8	there	there	PRON
ajst-29868	171	9	are	be	VERB
ajst-29868	171	10	ambiguous	ambiguous	ADJ
ajst-29868	171	11	labels	label	NOUN
ajst-29868	171	12	from	from	ADP
ajst-29868	171	13	different	different	ADJ
ajst-29868	171	14	classifiers	classifier	NOUN
ajst-29868	171	15	in	in	ADP
ajst-29868	171	16	m_wa	m_wa	PROPN
ajst-29868	171	17	,	,	PUNCT
ajst-29868	171	18	apply	apply	VERB
ajst-29868	171	19	probability	probability	NOUN
ajst-29868	171	20	conversion	conversion	NOUN
ajst-29868	171	21	to	to	PART
ajst-29868	171	22	distribute	distribute	VERB
ajst-29868	171	23	the	the	DET
ajst-29868	171	24	probabilities	probability	NOUN
ajst-29868	171	25	among	among	ADP
ajst-29868	171	26	the	the	DET
ajst-29868	171	27	hypotheses	hypothesis	NOUN
ajst-29868	171	28	.	.	PUNCT
ajst-29868	172	1	probability	probability	NOUN
ajst-29868	172	2	conversion	conversion	NOUN
ajst-29868	172	3	implement	implement	VERB
ajst-29868	172	4	probability	probability	NOUN
ajst-29868	172	5	conversion	conversion	NOUN
ajst-29868	172	6	,	,	PUNCT
ajst-29868	172	7	similar	similar	ADJ
ajst-29868	172	8	to	to	ADP
ajst-29868	172	9	the	the	DET
ajst-29868	172	10	maximum	maximum	PROPN
ajst-29868	172	11	entropy	entropy	NOUN
ajst-29868	172	12	method	method	NOUN
ajst-29868	172	13	,	,	PUNCT
ajst-29868	172	14	to	to	PART
ajst-29868	172	15	convert	convert	VERB
ajst-29868	172	16	the	the	DET
ajst-29868	172	17	probabilities	probability	NOUN
ajst-29868	172	18	in	in	ADP
ajst-29868	172	19	𝑚_𝑤𝑎	𝑚_𝑤𝑎	NOUN
ajst-29868	172	20	to	to	ADP
ajst-29868	172	21	pignistic	pignistic	ADJ
ajst-29868	172	22	probabilities	probability	NOUN
ajst-29868	172	23	.	.	PUNCT
ajst-29868	173	1	pignistic	pignistic	ADJ
ajst-29868	173	2	probability	probability	NOUN
ajst-29868	173	3	transformation	transformation	NOUN
ajst-29868	173	4	use	use	VERB
ajst-29868	173	5	the	the	DET
ajst-29868	173	6	transferable	transferable	ADJ
ajst-29868	173	7	belief	belief	NOUN
ajst-29868	173	8	model	model	NOUN
ajst-29868	173	9	(	(	PUNCT
ajst-29868	173	10	tbm	tbm	NOUN
ajst-29868	173	11	)	)	PUNCT
ajst-29868	173	12	with	with	ADP
ajst-29868	173	13	a	a	DET
ajst-29868	173	14	two	two	NUM
ajst-29868	173	15	-	-	PUNCT
ajst-29868	173	16	layer	layer	NOUN
ajst-29868	173	17	structure	structure	NOUN
ajst-29868	173	18	:	:	PUNCT
ajst-29868	173	19	the	the	DET
ajst-29868	173	20	belief	belief	NOUN
ajst-29868	173	21	layer	layer	NOUN
ajst-29868	173	22	and	and	CCONJ
ajst-29868	173	23	the	the	DET
ajst-29868	173	24	pignistic	pignistic	ADJ
ajst-29868	173	25	layer	layer	NOUN
ajst-29868	173	26	.	.	PUNCT
ajst-29868	174	1	quantify	quantify	VERB
ajst-29868	174	2	the	the	DET
ajst-29868	174	3	confidence	confidence	NOUN
ajst-29868	174	4	in	in	ADP
ajst-29868	174	5	the	the	DET
ajst-29868	174	6	belief	belief	NOUN
ajst-29868	174	7	layer	layer	NOUN
ajst-29868	174	8	and	and	CCONJ
ajst-29868	174	9	transform	transform	VERB
ajst-29868	174	10	it	it	PRON
ajst-29868	174	11	to	to	ADP
ajst-29868	174	12	pignistic	pignistic	ADJ
ajst-29868	174	13	probability	probability	NOUN
ajst-29868	174	14	using	use	VERB
ajst-29868	174	15	the	the	DET
ajst-29868	174	16	pignistic	pignistic	ADJ
ajst-29868	174	17	probability	probability	NOUN
ajst-29868	174	18	transformation	transformation	NOUN
ajst-29868	174	19	.	.	PUNCT
ajst-29868	175	1	transform	transform	VERB
ajst-29868	175	2	𝑚_𝑤𝑎	𝑚_𝑤𝑎	NOUN
ajst-29868	175	3	to	to	ADP
ajst-29868	175	4	𝑚_𝑑𝑎	𝑚_𝑑𝑎	PROPN
ajst-29868	175	5	after	after	ADP
ajst-29868	175	6	pignistic	pignistic	ADJ
ajst-29868	175	7	probability	probability	NOUN
ajst-29868	175	8	transformation	transformation	NOUN
ajst-29868	175	9	,	,	PUNCT
ajst-29868	175	10	convert	convert	VERB
ajst-29868	175	11	the	the	DET
ajst-29868	175	12	fusion	fusion	NOUN
ajst-29868	175	13	result	result	NOUN
ajst-29868	175	14	𝑚_𝑤𝑎	𝑚_𝑤𝑎	NOUN
ajst-29868	175	15	to	to	ADP
ajst-29868	175	16	𝑚_𝑑𝑎	𝑚_𝑑𝑎	PROPN
ajst-29868	175	17	to	to	PART
ajst-29868	175	18	avoid	avoid	VERB
ajst-29868	175	19	counterintuitive	counterintuitive	ADJ
ajst-29868	175	20	combinations	combination	NOUN
ajst-29868	175	21	due	due	ADP
ajst-29868	175	22	to	to	ADP
ajst-29868	175	23	high	high	ADJ
ajst-29868	175	24	conflict	conflict	NOUN
ajst-29868	175	25	.	.	PUNCT
ajst-29868	176	1	return	return	VERB
ajst-29868	176	2	the	the	DET
ajst-29868	176	3	final	final	ADJ
ajst-29868	176	4	fusion	fusion	NOUN
ajst-29868	176	5	result	result	NOUN
ajst-29868	176	6	return	return	VERB
ajst-29868	176	7	the	the	DET
ajst-29868	176	8	de	de	X
ajst-29868	176	9	-	-	ADJ
ajst-29868	176	10	conflicted	conflicted	ADJ
ajst-29868	176	11	and	and	CCONJ
ajst-29868	176	12	converged	converge	VERB
ajst-29868	176	13	fusion	fusion	NOUN
ajst-29868	176	14	result	result	NOUN
ajst-29868	176	15	𝑚_𝑑𝑎	𝑚_𝑑𝑎	PROPN
ajst-29868	176	16	for	for	ADP
ajst-29868	176	17	subsequent	subsequent	ADJ
ajst-29868	176	18	decision	decision	NOUN
ajst-29868	176	19	-	-	PUNCT
ajst-29868	176	20	making	making	NOUN
ajst-29868	176	21	.	.	PUNCT
ajst-29868	177	1	end	end	NOUN
ajst-29868	177	2	.	.	PUNCT
ajst-29868	178	1	after	after	ADP
ajst-29868	178	2	the	the	DET
ajst-29868	178	3	above	above	ADJ
ajst-29868	178	4	processing	processing	NOUN
ajst-29868	178	5	,	,	PUNCT
ajst-29868	178	6	the	the	DET
ajst-29868	178	7	fuzzy	fuzzy	ADJ
ajst-29868	178	8	data	datum	NOUN
ajst-29868	178	9	in	in	ADP
ajst-29868	178	10	the	the	DET
ajst-29868	178	11	dataset	dataset	NOUN
ajst-29868	178	12	has	have	AUX
ajst-29868	178	13	been	be	AUX
ajst-29868	178	14	transformed	transform	VERB
ajst-29868	178	15	into	into	ADP
ajst-29868	178	16	precise	precise	ADJ
ajst-29868	178	17	data	datum	NOUN
ajst-29868	178	18	.	.	PUNCT
ajst-29868	179	1	next	next	ADV
ajst-29868	179	2	,	,	PUNCT
ajst-29868	179	3	an	an	DET
ajst-29868	179	4	additional	additional	ADJ
ajst-29868	179	5	fully	fully	ADV
ajst-29868	179	6	connected	connected	ADJ
ajst-29868	179	7	layer	layer	NOUN
ajst-29868	179	8	is	be	AUX
ajst-29868	179	9	used	use	VERB
ajst-29868	179	10	for	for	ADP
ajst-29868	179	11	information	information	NOUN
ajst-29868	179	12	fusion	fusion	NOUN
ajst-29868	179	13	to	to	PART
ajst-29868	179	14	generate	generate	VERB
ajst-29868	179	15	the	the	DET
ajst-29868	179	16	final	final	ADJ
ajst-29868	179	17	prediction	prediction	NOUN
ajst-29868	179	18	result	result	NOUN
ajst-29868	179	19	.	.	PUNCT
ajst-29868	180	1	when	when	SCONJ
ajst-29868	180	2	an	an	DET
ajst-29868	180	3	observation	observation	NOUN
ajst-29868	180	4	sample	sample	NOUN
ajst-29868	180	5	𝑐	𝑐	PROPN
ajst-29868	180	6	of	of	ADP
ajst-29868	180	7	an	an	DET
ajst-29868	180	8	entity	entity	NOUN
ajst-29868	180	9	𝑒	𝑒	PROPN
ajst-29868	180	10	has	have	VERB
ajst-29868	180	11	the	the	DET
ajst-29868	180	12	same	same	ADJ
ajst-29868	180	13	features	feature	NOUN
ajst-29868	180	14	and	and	CCONJ
ajst-29868	180	15	labels	label	NOUN
ajst-29868	180	16	as	as	ADP
ajst-29868	180	17	another	another	DET
ajst-29868	180	18	observation	observation	NOUN
ajst-29868	180	19	𝑐	𝑐	NOUN
ajst-29868	180	20	,	,	PUNCT
ajst-29868	180	21	it	it	PRON
ajst-29868	180	22	is	be	AUX
ajst-29868	180	23	called	call	VERB
ajst-29868	180	24	a	a	DET
ajst-29868	180	25	consistent	consistent	ADJ
ajst-29868	180	26	sample	sample	NOUN
ajst-29868	180	27	.	.	PUNCT
ajst-29868	181	1	consistent	consistent	ADJ
ajst-29868	181	2	samples	sample	NOUN
ajst-29868	181	3	can	can	AUX
ajst-29868	181	4	increase	increase	VERB
ajst-29868	181	5	the	the	DET
ajst-29868	181	6	model	model	NOUN
ajst-29868	181	7	's	's	PART
ajst-29868	181	8	statistical	statistical	ADJ
ajst-29868	181	9	belief	belief	NOUN
ajst-29868	181	10	and	and	CCONJ
ajst-29868	181	11	reduce	reduce	VERB
ajst-29868	181	12	the	the	DET
ajst-29868	181	13	model	model	NOUN
ajst-29868	181	14	's	's	PART
ajst-29868	181	15	belief	belief	NOUN
ajst-29868	181	16	entropy	entropy	NOUN
ajst-29868	181	17	.	.	PUNCT
ajst-29868	182	1	when	when	SCONJ
ajst-29868	182	2	an	an	DET
ajst-29868	182	3	observation	observation	NOUN
ajst-29868	182	4	sample	sample	NOUN
ajst-29868	182	5	𝑐	𝑐	PROPN
ajst-29868	182	6	of	of	ADP
ajst-29868	182	7	an	an	DET
ajst-29868	182	8	entity	entity	NOUN
ajst-29868	182	9	𝑒	𝑒	PROPN
ajst-29868	182	10	has	have	VERB
ajst-29868	182	11	different	different	ADJ
ajst-29868	182	12	features	feature	NOUN
ajst-29868	182	13	but	but	CCONJ
ajst-29868	182	14	the	the	DET
ajst-29868	182	15	same	same	ADJ
ajst-29868	182	16	label	label	NOUN
ajst-29868	182	17	as	as	ADP
ajst-29868	182	18	another	another	DET
ajst-29868	182	19	observation	observation	NOUN
ajst-29868	182	20	𝑐	𝑐	NOUN
ajst-29868	182	21	,	,	PUNCT
ajst-29868	182	22	it	it	PRON
ajst-29868	182	23	is	be	AUX
ajst-29868	182	24	called	call	VERB
ajst-29868	182	25	a	a	DET
ajst-29868	182	26	contradictory	contradictory	ADJ
ajst-29868	182	27	sample	sample	NOUN
ajst-29868	182	28	.	.	PUNCT
ajst-29868	183	1	contradictory	contradictory	ADJ
ajst-29868	183	2	samples	sample	NOUN
ajst-29868	183	3	can	can	AUX
ajst-29868	183	4	reduce	reduce	VERB
ajst-29868	183	5	the	the	DET
ajst-29868	183	6	model	model	NOUN
ajst-29868	183	7	's	's	PART
ajst-29868	183	8	statistical	statistical	ADJ
ajst-29868	183	9	belief	belief	NOUN
ajst-29868	183	10	and	and	CCONJ
ajst-29868	183	11	increase	increase	VERB
ajst-29868	183	12	the	the	DET
ajst-29868	183	13	model	model	NOUN
ajst-29868	183	14	's	's	PART
ajst-29868	183	15	belief	belief	NOUN
ajst-29868	183	16	entropy	entropy	NOUN
ajst-29868	183	17	.	.	PUNCT
ajst-29868	184	1	contradictory	contradictory	ADJ
ajst-29868	184	2	samples	sample	NOUN
ajst-29868	184	3	may	may	AUX
ajst-29868	184	4	come	come	VERB
ajst-29868	184	5	from	from	ADP
ajst-29868	184	6	noisy	noisy	ADJ
ajst-29868	184	7	data	datum	NOUN
ajst-29868	184	8	and	and	CCONJ
ajst-29868	184	9	partially	partially	ADV
ajst-29868	184	10	observable	observable	ADJ
ajst-29868	184	11	data	datum	NOUN
ajst-29868	184	12	.	.	PUNCT
ajst-29868	185	1	to	to	PART
ajst-29868	185	2	address	address	VERB
ajst-29868	185	3	the	the	DET
ajst-29868	185	4	uncertainty	uncertainty	NOUN
ajst-29868	185	5	of	of	ADP
ajst-29868	185	6	contradictory	contradictory	ADJ
ajst-29868	185	7	samples	sample	NOUN
ajst-29868	185	8	,	,	PUNCT
ajst-29868	185	9	a	a	DET
ajst-29868	185	10	direct	direct	ADJ
ajst-29868	185	11	method	method	NOUN
ajst-29868	185	12	can	can	AUX
ajst-29868	185	13	be	be	AUX
ajst-29868	185	14	adopted	adopt	VERB
ajst-29868	185	15	to	to	PART
ajst-29868	185	16	extend	extend	VERB
ajst-29868	185	17	the	the	DET
ajst-29868	185	18	observation	observation	NOUN
ajst-29868	185	19	dimension	dimension	NOUN
ajst-29868	185	20	,	,	PUNCT
ajst-29868	185	21	including	include	VERB
ajst-29868	185	22	adding	add	VERB
ajst-29868	185	23	more	more	ADV
ajst-29868	185	24	observable	observable	ADJ
ajst-29868	185	25	modal	modal	ADJ
ajst-29868	185	26	channels	channel	NOUN
ajst-29868	185	27	to	to	PART
ajst-29868	185	28	reduce	reduce	VERB
ajst-29868	185	29	model	model	NOUN
ajst-29868	185	30	belief	belief	NOUN
ajst-29868	185	31	entropy	entropy	NOUN
ajst-29868	185	32	and	and	CCONJ
ajst-29868	185	33	minimum	minimum	ADJ
ajst-29868	185	34	model	model	NOUN
ajst-29868	185	35	accuracy	accuracy	NOUN
ajst-29868	185	36	entropy	entropy	PROPN
ajst-29868	185	37	.	.	PUNCT
ajst-29868	186	1	figure	figure	NOUN
ajst-29868	186	2	2	2	NUM
ajst-29868	186	3	.	.	NOUN
ajst-29868	186	4	fuzzy	fuzzy	ADJ
ajst-29868	186	5	data	datum	NOUN
ajst-29868	186	6	processing	processing	NOUN
ajst-29868	186	7	process	process	NOUN
ajst-29868	186	8	141	141	NUM
ajst-29868	186	9	algorithm	algorithm	NOUN
ajst-29868	186	10	5	5	NUM
ajst-29868	186	11	.	.	PUNCT
ajst-29868	186	12	precise	precise	ADJ
ajst-29868	186	13	processing	processing	NOUN
ajst-29868	186	14	of	of	ADP
ajst-29868	186	15	fuzzy	fuzzy	ADJ
ajst-29868	186	16	data	datum	NOUN
ajst-29868	186	17	input	input	NOUN
ajst-29868	186	18	:	:	PUNCT
ajst-29868	186	19	vague	vague	ADJ
ajst-29868	186	20	data	datum	NOUN
ajst-29868	186	21	groups	group	NOUN
ajst-29868	186	22	v.	v.	ADP
ajst-29868	186	23	output	output	NOUN
ajst-29868	186	24	:	:	PUNCT
ajst-29868	186	25	precise	precise	ADJ
ajst-29868	186	26	labels	label	NOUN
ajst-29868	186	27	for	for	ADP
ajst-29868	186	28	each	each	DET
ajst-29868	186	29	data	datum	NOUN
ajst-29868	186	30	group	group	NOUN
ajst-29868	186	31	.	.	PUNCT
ajst-29868	187	1	begin	begin	VERB
ajst-29868	187	2	:	:	PUNCT
ajst-29868	187	3	for	for	SCONJ
ajst-29868	187	4	each	each	DET
ajst-29868	187	5	vague	vague	ADJ
ajst-29868	187	6	data	datum	NOUN
ajst-29868	187	7	group	group	NOUN
ajst-29868	187	8	v	v	NOUN
ajst-29868	187	9	in	in	ADP
ajst-29868	187	10	v	v	NOUN
ajst-29868	187	11	:	:	PUNCT
ajst-29868	187	12	a.	a.	NOUN
ajst-29868	187	13	train	train	VERB
ajst-29868	187	14	a	a	DET
ajst-29868	187	15	base	base	NOUN
ajst-29868	187	16	classifier	classifier	NOUN
ajst-29868	187	17	on	on	ADP
ajst-29868	187	18	v.	v.	PROPN
ajst-29868	187	19	b.	b.	PROPN
ajst-29868	187	20	obtain	obtain	VERB
ajst-29868	187	21	the	the	DET
ajst-29868	187	22	probability	probability	NOUN
ajst-29868	187	23	distribution	distribution	NOUN
ajst-29868	187	24	output	output	NOUN
ajst-29868	187	25	as	as	ADP
ajst-29868	187	26	evidence	evidence	NOUN
ajst-29868	187	27	.	.	PUNCT
ajst-29868	188	1	apply	apply	VERB
ajst-29868	188	2	the	the	DET
ajst-29868	188	3	evidence	evidence	NOUN
ajst-29868	188	4	theory	theory	NOUN
ajst-29868	188	5	to	to	PART
ajst-29868	188	6	combine	combine	VERB
ajst-29868	188	7	evidence	evidence	NOUN
ajst-29868	188	8	from	from	ADP
ajst-29868	188	9	all	all	DET
ajst-29868	188	10	classifiers	classifier	NOUN
ajst-29868	188	11	.	.	PUNCT
ajst-29868	189	1	use	use	VERB
ajst-29868	189	2	the	the	DET
ajst-29868	189	3	combined	combine	VERB
ajst-29868	189	4	evidence	evidence	NOUN
ajst-29868	189	5	to	to	PART
ajst-29868	189	6	assign	assign	VERB
ajst-29868	189	7	a	a	DET
ajst-29868	189	8	precise	precise	ADJ
ajst-29868	189	9	label	label	NOUN
ajst-29868	189	10	to	to	ADP
ajst-29868	189	11	each	each	DET
ajst-29868	189	12	data	datum	NOUN
ajst-29868	189	13	group	group	NOUN
ajst-29868	189	14	.	.	PUNCT
ajst-29868	190	1	return	return	VERB
ajst-29868	190	2	the	the	DET
ajst-29868	190	3	precise	precise	ADJ
ajst-29868	190	4	labels	label	NOUN
ajst-29868	190	5	.	.	PUNCT
ajst-29868	191	1	end	end	NOUN
ajst-29868	191	2	.	.	PUNCT
ajst-29868	192	1	precise	precise	ADJ
ajst-29868	192	2	data	datum	NOUN
ajst-29868	192	3	processing	processing	NOUN
ajst-29868	192	4	:	:	PUNCT
ajst-29868	192	5	in	in	ADP
ajst-29868	192	6	the	the	DET
ajst-29868	192	7	precise	precise	ADJ
ajst-29868	192	8	data	datum	NOUN
ajst-29868	192	9	processing	processing	NOUN
ajst-29868	192	10	stage	stage	NOUN
ajst-29868	192	11	,	,	PUNCT
ajst-29868	192	12	we	we	PRON
ajst-29868	192	13	start	start	VERB
ajst-29868	192	14	from	from	ADP
ajst-29868	192	15	the	the	DET
ajst-29868	192	16	perspective	perspective	NOUN
ajst-29868	192	17	of	of	ADP
ajst-29868	192	18	information	information	NOUN
ajst-29868	192	19	theory	theory	NOUN
ajst-29868	192	20	to	to	PART
ajst-29868	192	21	optimize	optimize	VERB
ajst-29868	192	22	the	the	DET
ajst-29868	192	23	data	datum	NOUN
ajst-29868	192	24	fusion	fusion	NOUN
ajst-29868	192	25	process	process	NOUN
ajst-29868	192	26	.	.	PUNCT
ajst-29868	193	1	the	the	DET
ajst-29868	193	2	following	follow	VERB
ajst-29868	193	3	is	be	AUX
ajst-29868	193	4	a	a	DET
ajst-29868	193	5	detailed	detailed	ADJ
ajst-29868	193	6	processing	processing	NOUN
ajst-29868	193	7	process	process	NOUN
ajst-29868	193	8	:	:	PUNCT
ajst-29868	193	9	feature	feature	NOUN
ajst-29868	193	10	extraction	extraction	NOUN
ajst-29868	193	11	and	and	CCONJ
ajst-29868	193	12	preprocessing	preprocessing	NOUN
ajst-29868	193	13	:	:	PUNCT
ajst-29868	193	14	necessary	necessary	ADJ
ajst-29868	193	15	preprocessing	preprocessing	NOUN
ajst-29868	193	16	is	be	AUX
ajst-29868	193	17	carried	carry	VERB
ajst-29868	193	18	out	out	ADP
ajst-29868	193	19	on	on	ADP
ajst-29868	193	20	precise	precise	ADJ
ajst-29868	193	21	data	datum	NOUN
ajst-29868	193	22	to	to	PART
ajst-29868	193	23	eliminate	eliminate	VERB
ajst-29868	193	24	noise	noise	NOUN
ajst-29868	193	25	and	and	CCONJ
ajst-29868	193	26	irrelevant	irrelevant	ADJ
ajst-29868	193	27	information	information	NOUN
ajst-29868	193	28	,	,	PUNCT
ajst-29868	193	29	and	and	CCONJ
ajst-29868	193	30	then	then	ADV
ajst-29868	193	31	features	feature	VERB
ajst-29868	193	32	that	that	PRON
ajst-29868	193	33	help	help	VERB
ajst-29868	193	34	decision	decision	NOUN
ajst-29868	193	35	-	-	PUNCT
ajst-29868	193	36	making	making	NOUN
ajst-29868	193	37	are	be	AUX
ajst-29868	193	38	extracted	extract	VERB
ajst-29868	193	39	.	.	PUNCT
ajst-29868	194	1	calculation	calculation	NOUN
ajst-29868	194	2	of	of	ADP
ajst-29868	194	3	information	information	NOUN
ajst-29868	194	4	entropy	entropy	NOUN
ajst-29868	194	5	and	and	CCONJ
ajst-29868	194	6	mutual	mutual	ADJ
ajst-29868	194	7	information	information	NOUN
ajst-29868	194	8	:	:	PUNCT
ajst-29868	194	9	information	information	NOUN
ajst-29868	194	10	entropy	entropy	NOUN
ajst-29868	194	11	is	be	AUX
ajst-29868	194	12	calculated	calculate	VERB
ajst-29868	194	13	for	for	SCONJ
ajst-29868	194	14	each	each	DET
ajst-29868	194	15	data	datum	NOUN
ajst-29868	194	16	feature	feature	NOUN
ajst-29868	194	17	to	to	PART
ajst-29868	194	18	assess	assess	VERB
ajst-29868	194	19	its	its	PRON
ajst-29868	194	20	uncertainty	uncertainty	NOUN
ajst-29868	194	21	.	.	PUNCT
ajst-29868	195	1	𝐻	𝐻	NOUN
ajst-29868	195	2	𝑥	𝑥	PUNCT
ajst-29868	195	3	∑	∑	PUNCT
ajst-29868	195	4	𝑖	𝑖	SYM
ajst-29868	195	5	1	1	NUM
ajst-29868	195	6	^𝑛	^𝑛	SYM
ajst-29868	195	7	𝑝	𝑝	PART
ajst-29868	195	8	𝑥	𝑥	ADV
ajst-29868	195	9	𝑙𝑜𝑔𝑝	𝑙𝑜𝑔𝑝	ADV
ajst-29868	196	1	𝑥	𝑥	INTJ
ajst-29868	196	2	,	,	PUNCT
ajst-29868	196	3	where	where	SCONJ
ajst-29868	196	4	𝑝	𝑝	NOUN
ajst-29868	196	5	𝑥	𝑥	PROPN
ajst-29868	196	6	represents	represent	VERB
ajst-29868	196	7	the	the	DET
ajst-29868	196	8	probability	probability	NOUN
ajst-29868	196	9	of	of	ADP
ajst-29868	196	10	event	event	NOUN
ajst-29868	196	11	𝑥	𝑥	PRON
ajst-29868	196	12	occurring	occur	VERB
ajst-29868	196	13	.	.	PUNCT
ajst-29868	197	1	at	at	ADP
ajst-29868	197	2	the	the	DET
ajst-29868	197	3	same	same	ADJ
ajst-29868	197	4	time	time	NOUN
ajst-29868	197	5	,	,	PUNCT
ajst-29868	197	6	mutual	mutual	ADJ
ajst-29868	197	7	information	information	NOUN
ajst-29868	197	8	between	between	ADP
ajst-29868	197	9	different	different	ADJ
ajst-29868	197	10	data	datum	NOUN
ajst-29868	197	11	features	feature	NOUN
ajst-29868	197	12	is	be	AUX
ajst-29868	197	13	calculated	calculate	VERB
ajst-29868	197	14	to	to	PART
ajst-29868	197	15	determine	determine	VERB
ajst-29868	197	16	the	the	DET
ajst-29868	197	17	degree	degree	NOUN
ajst-29868	197	18	of	of	ADP
ajst-29868	197	19	interdependence	interdependence	NOUN
ajst-29868	197	20	between	between	ADP
ajst-29868	197	21	them	they	PRON
ajst-29868	197	22	.	.	PUNCT
ajst-29868	198	1	information	information	NOUN
ajst-29868	198	2	entropy	entropy	PROPN
ajst-29868	198	3	represents	represent	VERB
ajst-29868	198	4	the	the	DET
ajst-29868	198	5	uncertainty	uncertainty	NOUN
ajst-29868	198	6	of	of	ADP
ajst-29868	198	7	information	information	NOUN
ajst-29868	198	8	.	.	PUNCT
ajst-29868	199	1	by	by	ADP
ajst-29868	199	2	calculating	calculate	VERB
ajst-29868	199	3	the	the	DET
ajst-29868	199	4	difference	difference	NOUN
ajst-29868	199	5	between	between	ADP
ajst-29868	199	6	conditional	conditional	ADJ
ajst-29868	199	7	entropy	entropy	NOUN
ajst-29868	199	8	and	and	CCONJ
ajst-29868	199	9	information	information	NOUN
ajst-29868	199	10	entropy	entropy	NOUN
ajst-29868	199	11	without	without	ADP
ajst-29868	199	12	data	datum	NOUN
ajst-29868	199	13	,	,	PUNCT
ajst-29868	199	14	the	the	DET
ajst-29868	199	15	amount	amount	NOUN
ajst-29868	199	16	of	of	ADP
ajst-29868	199	17	information	information	NOUN
ajst-29868	199	18	provided	provide	VERB
ajst-29868	199	19	by	by	ADP
ajst-29868	199	20	a	a	DET
ajst-29868	199	21	single	single	ADJ
ajst-29868	199	22	modality	modality	NOUN
ajst-29868	199	23	or	or	CCONJ
ajst-29868	199	24	modality	modality	NOUN
ajst-29868	199	25	combination	combination	NOUN
ajst-29868	199	26	can	can	AUX
ajst-29868	199	27	be	be	AUX
ajst-29868	199	28	quantified	quantify	VERB
ajst-29868	199	29	.	.	PUNCT
ajst-29868	200	1	this	this	PRON
ajst-29868	200	2	helps	help	VERB
ajst-29868	200	3	to	to	PART
ajst-29868	200	4	assess	assess	VERB
ajst-29868	200	5	the	the	DET
ajst-29868	200	6	contribution	contribution	NOUN
ajst-29868	200	7	of	of	ADP
ajst-29868	200	8	different	different	ADJ
ajst-29868	200	9	modalities	modality	NOUN
ajst-29868	200	10	to	to	ADP
ajst-29868	200	11	the	the	DET
ajst-29868	200	12	model	model	NOUN
ajst-29868	200	13	's	's	PART
ajst-29868	200	14	predictive	predictive	ADJ
ajst-29868	200	15	performance	performance	NOUN
ajst-29868	200	16	.	.	PUNCT
ajst-29868	201	1	weight	weight	NOUN
ajst-29868	201	2	allocation	allocation	NOUN
ajst-29868	201	3	and	and	CCONJ
ajst-29868	201	4	optimization	optimization	NOUN
ajst-29868	201	5	:	:	PUNCT
ajst-29868	201	6	based	base	VERB
ajst-29868	201	7	on	on	ADP
ajst-29868	201	8	the	the	DET
ajst-29868	201	9	results	result	NOUN
ajst-29868	201	10	of	of	ADP
ajst-29868	201	11	information	information	NOUN
ajst-29868	201	12	entropy	entropy	NOUN
ajst-29868	201	13	and	and	CCONJ
ajst-29868	201	14	mutual	mutual	ADJ
ajst-29868	201	15	information	information	NOUN
ajst-29868	201	16	,	,	PUNCT
ajst-29868	201	17	initial	initial	ADJ
ajst-29868	201	18	weights	weight	NOUN
ajst-29868	201	19	are	be	AUX
ajst-29868	201	20	assigned	assign	VERB
ajst-29868	201	21	to	to	ADP
ajst-29868	201	22	each	each	DET
ajst-29868	201	23	data	datum	NOUN
ajst-29868	201	24	feature	feature	NOUN
ajst-29868	201	25	.	.	PUNCT
ajst-29868	202	1	these	these	DET
ajst-29868	202	2	weights	weight	NOUN
ajst-29868	202	3	reflect	reflect	VERB
ajst-29868	202	4	the	the	DET
ajst-29868	202	5	importance	importance	NOUN
ajst-29868	202	6	of	of	ADP
ajst-29868	202	7	each	each	DET
ajst-29868	202	8	feature	feature	NOUN
ajst-29868	202	9	in	in	ADP
ajst-29868	202	10	the	the	DET
ajst-29868	202	11	fusion	fusion	NOUN
ajst-29868	202	12	process	process	NOUN
ajst-29868	202	13	.	.	PUNCT
ajst-29868	203	1	then	then	ADV
ajst-29868	203	2	,	,	PUNCT
ajst-29868	203	3	the	the	DET
ajst-29868	203	4	weights	weight	NOUN
ajst-29868	203	5	are	be	AUX
ajst-29868	203	6	further	far	ADV
ajst-29868	203	7	adjusted	adjust	VERB
ajst-29868	203	8	through	through	ADP
ajst-29868	203	9	optimization	optimization	NOUN
ajst-29868	203	10	algorithms	algorithm	NOUN
ajst-29868	203	11	to	to	PART
ajst-29868	203	12	minimize	minimize	VERB
ajst-29868	203	13	the	the	DET
ajst-29868	203	14	difference	difference	NOUN
ajst-29868	203	15	between	between	ADP
ajst-29868	203	16	the	the	DET
ajst-29868	203	17	fusion	fusion	NOUN
ajst-29868	203	18	result	result	NOUN
ajst-29868	203	19	and	and	CCONJ
ajst-29868	203	20	the	the	DET
ajst-29868	203	21	true	true	ADJ
ajst-29868	203	22	situation	situation	NOUN
ajst-29868	203	23	.	.	PUNCT
ajst-29868	204	1	application	application	NOUN
ajst-29868	204	2	of	of	ADP
ajst-29868	204	3	bjs	bjs	PROPN
ajst-29868	204	4	divergence	divergence	NOUN
ajst-29868	204	5	:	:	PUNCT
ajst-29868	204	6	in	in	ADP
ajst-29868	204	7	the	the	DET
ajst-29868	204	8	data	data	NOUN
ajst-29868	204	9	fusion	fusion	NOUN
ajst-29868	204	10	process	process	NOUN
ajst-29868	204	11	,	,	PUNCT
ajst-29868	204	12	we	we	PRON
ajst-29868	204	13	use	use	VERB
ajst-29868	204	14	bjs	bjs	NOUN
ajst-29868	204	15	divergence	divergence	NOUN
ajst-29868	204	16	to	to	PART
ajst-29868	204	17	measure	measure	VERB
ajst-29868	204	18	the	the	DET
ajst-29868	204	19	uncertainty	uncertainty	NOUN
ajst-29868	204	20	and	and	CCONJ
ajst-29868	204	21	information	information	NOUN
ajst-29868	204	22	loss	loss	NOUN
ajst-29868	204	23	of	of	ADP
ajst-29868	204	24	the	the	DET
ajst-29868	204	25	data	datum	NOUN
ajst-29868	204	26	.	.	PUNCT
ajst-29868	205	1	bjs	bjs	PROPN
ajst-29868	205	2	divergence	divergence	NOUN
ajst-29868	205	3	is	be	AUX
ajst-29868	205	4	a	a	DET
ajst-29868	205	5	symmetric	symmetric	ADJ
ajst-29868	205	6	divergence	divergence	NOUN
ajst-29868	205	7	,	,	PUNCT
ajst-29868	205	8	𝐵𝐽𝑆	𝐵𝐽𝑆	PROPN
ajst-29868	205	9	𝑃||𝑄	𝑃||𝑄	VERB
ajst-29868	205	10	𝐵𝐽𝑆	𝐵𝐽𝑆	PROPN
ajst-29868	205	11	𝑄||𝑃	𝑄||𝑃	PUNCT
ajst-29868	205	12	𝐵𝐽𝑆	𝐵𝐽𝑆	PROPN
ajst-29868	205	13	𝑃||𝑄	𝑃||𝑄	NOUN
ajst-29868	205	14	𝑓𝑟𝑎𝑐	𝑓𝑟𝑎𝑐	VERB
ajst-29868	205	15	1	1	NUM
ajst-29868	205	16	2	2	NUM
ajst-29868	205	17	𝐻	𝐻	NOUN
ajst-29868	205	18	𝑃	𝑃	NOUN
ajst-29868	205	19	,	,	PUNCT
ajst-29868	205	20	𝑄	𝑄	PROPN
ajst-29868	205	21	𝐻	𝐻	PROPN
ajst-29868	205	22	𝑄	𝑄	PROPN
ajst-29868	205	23	,	,	PUNCT
ajst-29868	205	24	𝑃	𝑃	NOUN
ajst-29868	205	25	,	,	PUNCT
ajst-29868	205	26	where	where	SCONJ
ajst-29868	205	27	𝐻	𝐻	PROPN
ajst-29868	205	28	𝑃	𝑃	VERB
ajst-29868	205	29	,	,	PUNCT
ajst-29868	205	30	𝑄	𝑄	PRON
ajst-29868	205	31	represents	represent	VERB
ajst-29868	205	32	the	the	DET
ajst-29868	205	33	joint	joint	ADJ
ajst-29868	205	34	entropy	entropy	NOUN
ajst-29868	205	35	.	.	PUNCT
ajst-29868	206	1	it	it	PRON
ajst-29868	206	2	combines	combine	VERB
ajst-29868	206	3	the	the	DET
ajst-29868	206	4	advantages	advantage	NOUN
ajst-29868	206	5	of	of	ADP
ajst-29868	206	6	jensen	jensen	PROPN
ajst-29868	206	7	-	-	PUNCT
ajst-29868	206	8	shannon	shannon	PROPN
ajst-29868	206	9	divergence	divergence	NOUN
ajst-29868	206	10	and	and	CCONJ
ajst-29868	206	11	bhattacharyya	bhattacharyya	ADJ
ajst-29868	206	12	distance	distance	NOUN
ajst-29868	206	13	,	,	PUNCT
ajst-29868	206	14	enhancing	enhance	VERB
ajst-29868	206	15	the	the	DET
ajst-29868	206	16	sensitivity	sensitivity	NOUN
ajst-29868	206	17	to	to	ADP
ajst-29868	206	18	uncertainty	uncertainty	NOUN
ajst-29868	206	19	in	in	ADP
ajst-29868	206	20	the	the	DET
ajst-29868	206	21	data	data	NOUN
ajst-29868	206	22	fusion	fusion	NOUN
ajst-29868	206	23	process	process	NOUN
ajst-29868	206	24	.	.	PUNCT
ajst-29868	207	1	3.3	3.3	NUM
ajst-29868	207	2	.	.	PUNCT
ajst-29868	208	1	precise	precise	ADJ
ajst-29868	208	2	data	datum	NOUN
ajst-29868	208	3	processing	processing	NOUN
ajst-29868	208	4	process	process	NOUN
ajst-29868	208	5	through	through	ADP
ajst-29868	208	6	the	the	DET
ajst-29868	208	7	above	above	ADJ
ajst-29868	208	8	process	process	NOUN
ajst-29868	208	9	,	,	PUNCT
ajst-29868	208	10	we	we	PRON
ajst-29868	208	11	will	will	AUX
ajst-29868	208	12	achieve	achieve	VERB
ajst-29868	208	13	the	the	DET
ajst-29868	208	14	transformation	transformation	NOUN
ajst-29868	208	15	from	from	ADP
ajst-29868	208	16	fuzzy	fuzzy	ADJ
ajst-29868	208	17	data	datum	NOUN
ajst-29868	208	18	to	to	ADP
ajst-29868	208	19	precise	precise	ADJ
ajst-29868	208	20	data	datum	NOUN
ajst-29868	208	21	,	,	PUNCT
ajst-29868	208	22	and	and	CCONJ
ajst-29868	208	23	further	far	ADV
ajst-29868	208	24	improve	improve	VERB
ajst-29868	208	25	the	the	DET
ajst-29868	208	26	performance	performance	NOUN
ajst-29868	208	27	and	and	CCONJ
ajst-29868	208	28	decision	decision	NOUN
ajst-29868	208	29	accuracy	accuracy	NOUN
ajst-29868	208	30	of	of	ADP
ajst-29868	208	31	data	datum	NOUN
ajst-29868	208	32	fusion	fusion	NOUN
ajst-29868	208	33	through	through	ADP
ajst-29868	208	34	the	the	DET
ajst-29868	208	35	data	data	NOUN
ajst-29868	208	36	fusion	fusion	NOUN
ajst-29868	208	37	method	method	NOUN
ajst-29868	208	38	from	from	ADP
ajst-29868	208	39	the	the	DET
ajst-29868	208	40	perspective	perspective	NOUN
ajst-29868	208	41	of	of	ADP
ajst-29868	208	42	information	information	NOUN
ajst-29868	208	43	theory	theory	NOUN
ajst-29868	208	44	.	.	PUNCT
ajst-29868	209	1	figure	figure	VERB
ajst-29868	209	2	3	3	NUM
ajst-29868	209	3	.	.	PUNCT
ajst-29868	209	4	precise	precise	ADJ
ajst-29868	209	5	data	datum	NOUN
ajst-29868	209	6	processing	processing	NOUN
ajst-29868	209	7	process	process	NOUN
ajst-29868	209	8	algorithm	algorithm	NOUN
ajst-29868	209	9	6	6	NUM
ajst-29868	209	10	.	.	PUNCT
ajst-29868	209	11	data	datum	NOUN
ajst-29868	209	12	fusion	fusion	NOUN
ajst-29868	209	13	strategy	strategy	NOUN
ajst-29868	209	14	input	input	NOUN
ajst-29868	209	15	:	:	PUNCT
ajst-29868	209	16	precise	precise	ADJ
ajst-29868	209	17	data	datum	NOUN
ajst-29868	209	18	p	p	NOUN
ajst-29868	209	19	,	,	PUNCT
ajst-29868	209	20	precise	precise	ADJ
ajst-29868	209	21	labels	label	NOUN
ajst-29868	209	22	from	from	ADP
ajst-29868	209	23	algorithm	algorithm	NOUN
ajst-29868	209	24	5	5	NUM
ajst-29868	209	25	.	.	PUNCT
ajst-29868	210	1	output	output	NOUN
ajst-29868	210	2	:	:	PUNCT
ajst-29868	210	3	final	final	ADJ
ajst-29868	210	4	fused	fuse	VERB
ajst-29868	210	5	data	datum	NOUN
ajst-29868	210	6	set	set	VERB
ajst-29868	210	7	𝐹.	𝐹.	PROPN
ajst-29868	210	8	begin	begin	VERB
ajst-29868	210	9	:	:	PUNCT
ajst-29868	210	10	initialize	initialize	VERB
ajst-29868	210	11	an	an	DET
ajst-29868	210	12	empty	empty	ADJ
ajst-29868	210	13	data	datum	NOUN
ajst-29868	210	14	set	set	VERB
ajst-29868	210	15	f.	f.	PROPN
ajst-29868	210	16	for	for	ADP
ajst-29868	210	17	each	each	DET
ajst-29868	210	18	precise	precise	ADJ
ajst-29868	210	19	data	datum	NOUN
ajst-29868	210	20	point	point	NOUN
ajst-29868	210	21	p	p	NOUN
ajst-29868	210	22	in	in	ADP
ajst-29868	210	23	p	p	X
ajst-29868	210	24	:	:	PUNCT
ajst-29868	210	25	a.	a.	NOUN
ajst-29868	210	26	encode	encode	PROPN
ajst-29868	210	27	p	p	NOUN
ajst-29868	210	28	into	into	ADP
ajst-29868	210	29	a	a	DET
ajst-29868	210	30	latent	latent	NOUN
ajst-29868	210	31	representation	representation	NOUN
ajst-29868	210	32	.	.	PUNCT
ajst-29868	211	1	b.	b.	PROPN
ajst-29868	211	2	add	add	VERB
ajst-29868	211	3	the	the	DET
ajst-29868	211	4	encoded	encode	VERB
ajst-29868	211	5	representation	representation	NOUN
ajst-29868	211	6	to	to	ADP
ajst-29868	211	7	𝐹.	𝐹.	PROPN
ajst-29868	211	8	for	for	ADP
ajst-29868	211	9	each	each	DET
ajst-29868	211	10	precise	precise	ADJ
ajst-29868	211	11	label	label	NOUN
ajst-29868	211	12	l	l	NOUN
ajst-29868	211	13	in	in	ADP
ajst-29868	211	14	𝐿	𝐿	NOUN
ajst-29868	211	15	:	:	PUNCT
ajst-29868	211	16	a.	a.	NOUN
ajst-29868	211	17	map	map	NOUN
ajst-29868	211	18	l	l	NOUN
ajst-29868	211	19	to	to	ADP
ajst-29868	211	20	the	the	DET
ajst-29868	211	21	corresponding	correspond	VERB
ajst-29868	211	22	data	data	NOUN
ajst-29868	211	23	points	point	NOUN
ajst-29868	211	24	in	in	ADP
ajst-29868	211	25	𝐹	𝐹	PROPN
ajst-29868	211	26	using	use	VERB
ajst-29868	211	27	the	the	DET
ajst-29868	211	28	bjs	bjs	NOUN
ajst-29868	211	29	distance	distance	NOUN
ajst-29868	211	30	.	.	PUNCT
ajst-29868	212	1	fuse	fuse	VERB
ajst-29868	212	2	the	the	DET
ajst-29868	212	3	data	datum	NOUN
ajst-29868	212	4	in	in	ADP
ajst-29868	212	5	f	f	PROPN
ajst-29868	212	6	using	use	VERB
ajst-29868	212	7	a	a	DET
ajst-29868	212	8	deep	deep	ADJ
ajst-29868	212	9	learning	learning	NOUN
ajst-29868	212	10	model	model	NOUN
ajst-29868	212	11	,	,	PUNCT
ajst-29868	212	12	considering	consider	VERB
ajst-29868	212	13	the	the	DET
ajst-29868	212	14	bjs	bjs	NOUN
ajst-29868	212	15	distance	distance	NOUN
ajst-29868	212	16	.	.	PUNCT
ajst-29868	213	1	return	return	VERB
ajst-29868	213	2	the	the	DET
ajst-29868	213	3	fused	fuse	VERB
ajst-29868	213	4	data	datum	NOUN
ajst-29868	213	5	set	set	VERB
ajst-29868	213	6	f.	f.	PROPN
ajst-29868	213	7	end	end	PROPN
ajst-29868	213	8	.	.	PUNCT
ajst-29868	214	1	4	4	X
ajst-29868	214	2	.	.	X
ajst-29868	214	3	experimental	experimental	ADJ
ajst-29868	214	4	purpose	purpose	NOUN
ajst-29868	214	5	and	and	CCONJ
ajst-29868	214	6	dataset	dataset	VERB
ajst-29868	214	7	the	the	DET
ajst-29868	214	8	purpose	purpose	NOUN
ajst-29868	214	9	of	of	ADP
ajst-29868	214	10	this	this	DET
ajst-29868	214	11	experiment	experiment	NOUN
ajst-29868	214	12	is	be	AUX
ajst-29868	214	13	to	to	PART
ajst-29868	214	14	verify	verify	VERB
ajst-29868	214	15	the	the	DET
ajst-29868	214	16	performance	performance	NOUN
ajst-29868	214	17	of	of	ADP
ajst-29868	214	18	the	the	DET
ajst-29868	214	19	proposed	propose	VERB
ajst-29868	214	20	data	data	NOUN
ajst-29868	214	21	fusion	fusion	NOUN
ajst-29868	214	22	framework	framework	NOUN
ajst-29868	214	23	in	in	ADP
ajst-29868	214	24	processing	process	VERB
ajst-29868	214	25	fuzzy	fuzzy	ADJ
ajst-29868	214	26	data	datum	NOUN
ajst-29868	214	27	and	and	CCONJ
ajst-29868	214	28	precise	precise	ADJ
ajst-29868	214	29	data	datum	NOUN
ajst-29868	214	30	,	,	PUNCT
ajst-29868	214	31	and	and	CCONJ
ajst-29868	214	32	to	to	PART
ajst-29868	214	33	provide	provide	VERB
ajst-29868	214	34	a	a	DET
ajst-29868	214	35	basis	basis	NOUN
ajst-29868	214	36	for	for	ADP
ajst-29868	214	37	the	the	DET
ajst-29868	214	38	discovery	discovery	NOUN
ajst-29868	214	39	of	of	ADP
ajst-29868	214	40	important	important	ADJ
ajst-29868	214	41	data	datum	NOUN
ajst-29868	214	42	.	.	PUNCT
ajst-29868	215	1	to	to	ADP
ajst-29868	215	2	this	this	DET
ajst-29868	215	3	end	end	NOUN
ajst-29868	215	4	,	,	PUNCT
ajst-29868	215	5	we	we	PRON
ajst-29868	215	6	used	use	VERB
ajst-29868	215	7	a	a	DET
ajst-29868	215	8	medical	medical	ADJ
ajst-29868	215	9	system	system	NOUN
ajst-29868	215	10	dataset	dataset	NOUN
ajst-29868	215	11	,	,	PUNCT
ajst-29868	215	12	which	which	PRON
ajst-29868	215	13	includes	include	VERB
ajst-29868	215	14	fuzzy	fuzzy	ADJ
ajst-29868	215	15	information	information	NOUN
ajst-29868	215	16	and	and	CCONJ
ajst-29868	215	17	precise	precise	ADJ
ajst-29868	215	18	information	information	NOUN
ajst-29868	215	19	.	.	PUNCT
ajst-29868	216	1	this	this	DET
ajst-29868	216	2	paper	paper	NOUN
ajst-29868	216	3	conducts	conduct	VERB
ajst-29868	216	4	experiments	experiment	NOUN
ajst-29868	216	5	on	on	ADP
ajst-29868	216	6	the	the	DET
ajst-29868	216	7	following	follow	VERB
ajst-29868	216	8	medical	medical	ADJ
ajst-29868	216	9	datasets	dataset	NOUN
ajst-29868	216	10	.	.	PUNCT
ajst-29868	217	1	since	since	SCONJ
ajst-29868	217	2	each	each	DET
ajst-29868	217	3	sample	sample	NOUN
ajst-29868	217	4	in	in	ADP
ajst-29868	217	5	the	the	DET
ajst-29868	217	6	dataset	dataset	NOUN
ajst-29868	217	7	is	be	AUX
ajst-29868	217	8	accompanied	accompany	VERB
ajst-29868	217	9	by	by	ADP
ajst-29868	217	10	a	a	DET
ajst-29868	217	11	precise	precise	ADJ
ajst-29868	217	12	label	label	NOUN
ajst-29868	217	13	,	,	PUNCT
ajst-29868	217	14	it	it	PRON
ajst-29868	217	15	is	be	AUX
ajst-29868	217	16	necessary	necessary	ADJ
ajst-29868	217	17	to	to	PART
ajst-29868	217	18	randomly	randomly	ADV
ajst-29868	217	19	extract	extract	VERB
ajst-29868	217	20	a	a	DET
ajst-29868	217	21	portion	portion	NOUN
ajst-29868	217	22	of	of	ADP
ajst-29868	217	23	the	the	DET
ajst-29868	217	24	samples	sample	NOUN
ajst-29868	217	25	in	in	ADP
ajst-29868	217	26	the	the	DET
ajst-29868	217	27	dataset	dataset	NOUN
ajst-29868	217	28	and	and	CCONJ
ajst-29868	217	29	construct	construct	VERB
ajst-29868	217	30	fuzzy	fuzzy	ADJ
ajst-29868	217	31	labels	label	NOUN
ajst-29868	217	32	.	.	PUNCT
ajst-29868	218	1	medical	medical	ADJ
ajst-29868	218	2	dataset	dataset	NOUN
ajst-29868	218	3	:	:	PUNCT
ajst-29868	218	4	the	the	DET
ajst-29868	218	5	medical	medical	ADJ
ajst-29868	218	6	dataset	dataset	NOUN
ajst-29868	218	7	consists	consist	VERB
ajst-29868	218	8	of	of	ADP
ajst-29868	218	9	5	5	NUM
ajst-29868	218	10	categories	category	NOUN
ajst-29868	218	11	,	,	PUNCT
ajst-29868	218	12	denoted	denote	VERB
ajst-29868	218	13	as	as	ADP
ajst-29868	218	14	a	a	DET
ajst-29868	218	15	,	,	PUNCT
ajst-29868	218	16	b	b	NOUN
ajst-29868	218	17	,	,	PUNCT
ajst-29868	218	18	c	c	NOUN
ajst-29868	218	19	,	,	PUNCT
ajst-29868	218	20	d	d	NOUN
ajst-29868	218	21	,	,	PUNCT
ajst-29868	218	22	and	and	CCONJ
ajst-29868	218	23	e	e	NOUN
ajst-29868	218	24	,	,	PUNCT
ajst-29868	218	25	with	with	ADP
ajst-29868	218	26	each	each	DET
ajst-29868	218	27	category	category	NOUN
ajst-29868	218	28	composed	compose	VERB
ajst-29868	218	29	of	of	ADP
ajst-29868	218	30	a	a	DET
ajst-29868	218	31	gaussian	gaussian	ADJ
ajst-29868	218	32	cluster	cluster	NOUN
ajst-29868	218	33	.	.	PUNCT
ajst-29868	219	1	an	an	DET
ajst-29868	219	2	example	example	NOUN
ajst-29868	219	3	is	be	AUX
ajst-29868	219	4	used	use	VERB
ajst-29868	219	5	to	to	PART
ajst-29868	219	6	plot	plot	VERB
ajst-29868	219	7	5	5	NUM
ajst-29868	219	8	independent	independent	ADJ
ajst-29868	219	9	features	feature	NOUN
ajst-29868	219	10	for	for	ADP
ajst-29868	219	11	the	the	DET
ajst-29868	219	12	cluster	cluster	NOUN
ajst-29868	219	13	in	in	ADP
ajst-29868	219	14	a	a	DET
ajst-29868	219	15	5	5	NUM
ajst-29868	219	16	-	-	PUNCT
ajst-29868	219	17	dimensional	dimensional	ADJ
ajst-29868	219	18	space	space	NOUN
ajst-29868	219	19	.	.	PUNCT
ajst-29868	220	1	142	142	NUM
ajst-29868	220	2	then	then	ADV
ajst-29868	220	3	,	,	PUNCT
ajst-29868	220	4	interdependencies	interdependency	NOUN
ajst-29868	220	5	between	between	ADP
ajst-29868	220	6	these	these	DET
ajst-29868	220	7	features	feature	NOUN
ajst-29868	220	8	are	be	AUX
ajst-29868	220	9	introduced	introduce	VERB
ajst-29868	220	10	.	.	PUNCT
ajst-29868	221	1	the	the	DET
ajst-29868	221	2	covariance	covariance	NOUN
ajst-29868	221	3	is	be	AUX
ajst-29868	221	4	multiplied	multiply	VERB
ajst-29868	221	5	by	by	ADP
ajst-29868	221	6	a	a	DET
ajst-29868	221	7	random	random	ADJ
ajst-29868	221	8	matrix	matrix	NOUN
ajst-29868	221	9	and	and	CCONJ
ajst-29868	221	10	added	add	VERB
ajst-29868	221	11	,	,	PUNCT
ajst-29868	221	12	where	where	SCONJ
ajst-29868	221	13	the	the	DET
ajst-29868	221	14	random	random	ADJ
ajst-29868	221	15	numbers	number	NOUN
ajst-29868	221	16	are	be	AUX
ajst-29868	221	17	uniformly	uniformly	ADV
ajst-29868	221	18	distributed	distribute	VERB
ajst-29868	221	19	between	between	ADP
ajst-29868	221	20	-1	-1	PUNCT
ajst-29868	221	21	and	and	CCONJ
ajst-29868	221	22	1	1	X
ajst-29868	221	23	.	.	PUNCT
ajst-29868	222	1	then	then	ADV
ajst-29868	222	2	,	,	PUNCT
ajst-29868	222	3	further	further	ADJ
ajst-29868	222	4	noise	noise	NOUN
ajst-29868	222	5	is	be	AUX
ajst-29868	222	6	added	add	VERB
ajst-29868	222	7	to	to	ADP
ajst-29868	222	8	the	the	DET
ajst-29868	222	9	features	feature	NOUN
ajst-29868	222	10	.	.	PUNCT
ajst-29868	223	1	this	this	PRON
ajst-29868	223	2	is	be	AUX
ajst-29868	223	3	done	do	VERB
ajst-29868	223	4	by	by	ADP
ajst-29868	223	5	adding	add	VERB
ajst-29868	223	6	random	random	ADJ
ajst-29868	223	7	noise	noise	NOUN
ajst-29868	223	8	to	to	ADP
ajst-29868	223	9	the	the	DET
ajst-29868	223	10	features	feature	NOUN
ajst-29868	223	11	.	.	PUNCT
ajst-29868	224	1	these	these	DET
ajst-29868	224	2	5	5	NUM
ajst-29868	224	3	strata	strata	NOUN
ajst-29868	224	4	jointly	jointly	ADV
ajst-29868	224	5	constitute	constitute	VERB
ajst-29868	224	6	the	the	DET
ajst-29868	224	7	recognition	recognition	NOUN
ajst-29868	224	8	framework	framework	NOUN
ajst-29868	224	9	.	.	PUNCT
ajst-29868	225	1	a	a	DET
ajst-29868	225	2	total	total	NOUN
ajst-29868	225	3	of	of	ADP
ajst-29868	225	4	3000	3000	NUM
ajst-29868	225	5	data	datum	NOUN
ajst-29868	225	6	points	point	NOUN
ajst-29868	225	7	were	be	AUX
ajst-29868	225	8	generated	generate	VERB
ajst-29868	225	9	through	through	ADP
ajst-29868	225	10	the	the	DET
ajst-29868	225	11	above	above	ADJ
ajst-29868	225	12	settings	setting	NOUN
ajst-29868	225	13	,	,	PUNCT
ajst-29868	225	14	including	include	VERB
ajst-29868	225	15	2400	2400	NUM
ajst-29868	225	16	training	training	NOUN
ajst-29868	225	17	points	point	NOUN
ajst-29868	225	18	and	and	CCONJ
ajst-29868	225	19	600	600	NUM
ajst-29868	225	20	test	test	NOUN
ajst-29868	225	21	points	point	NOUN
ajst-29868	225	22	.	.	PUNCT
ajst-29868	226	1	to	to	PART
ajst-29868	226	2	simulate	simulate	VERB
ajst-29868	226	3	real	real	ADJ
ajst-29868	226	4	-	-	PUNCT
ajst-29868	226	5	world	world	NOUN
ajst-29868	226	6	scenarios	scenario	NOUN
ajst-29868	226	7	,	,	PUNCT
ajst-29868	226	8	it	it	PRON
ajst-29868	226	9	is	be	AUX
ajst-29868	226	10	necessary	necessary	ADJ
ajst-29868	226	11	to	to	PART
ajst-29868	226	12	generate	generate	VERB
ajst-29868	226	13	fuzzy	fuzzy	ADJ
ajst-29868	226	14	labels	label	NOUN
ajst-29868	226	15	.	.	PUNCT
ajst-29868	227	1	this	this	DET
ajst-29868	227	2	study	study	NOUN
ajst-29868	227	3	constructed	construct	VERB
ajst-29868	227	4	these	these	DET
ajst-29868	227	5	fuzzy	fuzzy	ADJ
ajst-29868	227	6	labels	label	NOUN
ajst-29868	227	7	to	to	PART
ajst-29868	227	8	replace	replace	VERB
ajst-29868	227	9	the	the	DET
ajst-29868	227	10	original	original	ADJ
ajst-29868	227	11	precise	precise	ADJ
ajst-29868	227	12	labels	label	NOUN
ajst-29868	227	13	.	.	PUNCT
ajst-29868	228	1	specifically	specifically	ADV
ajst-29868	228	2	,	,	PUNCT
ajst-29868	228	3	one	one	NUM
ajst-29868	228	4	-	-	PUNCT
ajst-29868	228	5	third	third	NOUN
ajst-29868	228	6	of	of	ADP
ajst-29868	228	7	the	the	DET
ajst-29868	228	8	training	training	NOUN
ajst-29868	228	9	samples	sample	NOUN
ajst-29868	228	10	with	with	ADP
ajst-29868	228	11	labels	label	NOUN
ajst-29868	228	12	a	a	PRON
ajst-29868	228	13	and	and	CCONJ
ajst-29868	228	14	b	b	NOUN
ajst-29868	228	15	were	be	AUX
ajst-29868	228	16	replaced	replace	VERB
ajst-29868	228	17	with{a	with{a	NOUN
ajst-29868	228	18	,	,	PUNCT
ajst-29868	228	19	b	b	NOUN
ajst-29868	228	20	}	}	PUNCT
ajst-29868	228	21	;	;	PUNCT
ajst-29868	228	22	one	one	NUM
ajst-29868	228	23	-	-	PUNCT
ajst-29868	228	24	third	third	NOUN
ajst-29868	228	25	of	of	ADP
ajst-29868	228	26	the	the	DET
ajst-29868	228	27	training	training	NOUN
ajst-29868	228	28	instances	instance	NOUN
ajst-29868	228	29	with	with	ADP
ajst-29868	228	30	labels	label	NOUN
ajst-29868	228	31	b	b	PROPN
ajst-29868	228	32	and	and	CCONJ
ajst-29868	228	33	c	c	PROPN
ajst-29868	228	34	were	be	AUX
ajst-29868	228	35	replaced	replace	VERB
ajst-29868	228	36	with	with	ADP
ajst-29868	228	37	{	{	PUNCT
ajst-29868	228	38	b	b	NOUN
ajst-29868	228	39	,	,	PUNCT
ajst-29868	228	40	c	c	NOUN
ajst-29868	228	41	}	}	PUNCT
ajst-29868	228	42	and	and	CCONJ
ajst-29868	228	43	{	{	PUNCT
ajst-29868	228	44	d	d	NOUN
ajst-29868	228	45	,	,	PUNCT
ajst-29868	228	46	e	e	NOUN
ajst-29868	228	47	}	}	PUNCT
ajst-29868	228	48	.	.	PUNCT
ajst-29868	229	1	this	this	DET
ajst-29868	229	2	paper	paper	NOUN
ajst-29868	229	3	uses	use	VERB
ajst-29868	229	4	accuracy	accuracy	NOUN
ajst-29868	229	5	,	,	PUNCT
ajst-29868	229	6	𝐹1	𝐹1	NOUN
ajst-29868	229	7	-	-	PUNCT
ajst-29868	229	8	score	score	NOUN
ajst-29868	229	9	,	,	PUNCT
ajst-29868	229	10	roc	roc	NOUN
ajst-29868	229	11	-	-	PUNCT
ajst-29868	229	12	auc	auc	NOUN
ajst-29868	229	13	,	,	PUNCT
ajst-29868	229	14	and	and	CCONJ
ajst-29868	229	15	prauc	prauc	NOUN
ajst-29868	229	16	as	as	ADP
ajst-29868	229	17	performance	performance	NOUN
ajst-29868	229	18	evaluation	evaluation	NOUN
ajst-29868	229	19	metrics	metric	NOUN
ajst-29868	229	20	.	.	PUNCT
ajst-29868	230	1	these	these	DET
ajst-29868	230	2	metrics	metric	NOUN
ajst-29868	230	3	can	can	AUX
ajst-29868	230	4	comprehensively	comprehensively	ADV
ajst-29868	230	5	evaluate	evaluate	VERB
ajst-29868	230	6	the	the	DET
ajst-29868	230	7	performance	performance	NOUN
ajst-29868	230	8	of	of	ADP
ajst-29868	230	9	the	the	DET
ajst-29868	230	10	classifier	classifier	NOUN
ajst-29868	230	11	in	in	ADP
ajst-29868	230	12	processing	process	VERB
ajst-29868	230	13	fuzzy	fuzzy	ADJ
ajst-29868	230	14	data	datum	NOUN
ajst-29868	230	15	.	.	PUNCT
ajst-29868	231	1	table	table	NOUN
ajst-29868	231	2	1	1	NUM
ajst-29868	231	3	.	.	PUNCT
ajst-29868	231	4	performance	performance	NOUN
ajst-29868	231	5	metrics	metric	NOUN
ajst-29868	231	6	precision	precision	VERB
ajst-29868	231	7	f1	f1	NOUN
ajst-29868	231	8	-	-	PUNCT
ajst-29868	231	9	score	score	NOUN
ajst-29868	231	10	roc	roc	PROPN
ajst-29868	231	11	-	-	PUNCT
ajst-29868	231	12	auc↑	auc↑	PROPN
ajst-29868	231	13	pr	pr	NOUN
ajst-29868	231	14	-	-	PUNCT
ajst-29868	231	15	auc↑	auc↑	PROPN
ajst-29868	231	16	v	v	NOUN
ajst-29868	231	17	-	-	PUNCT
ajst-29868	231	18	ignoring	ignore	VERB
ajst-29868	231	19	62.23	62.23	NUM
ajst-29868	231	20	%	%	NOUN
ajst-29868	231	21	53.35	53.35	NUM
ajst-29868	231	22	%	%	NOUN
ajst-29868	231	23	86.18	86.18	NUM
ajst-29868	231	24	%	%	NOUN
ajst-29868	231	25	68.23	68.23	NUM
ajst-29868	231	26	%	%	NOUN
ajst-29868	231	27	v	v	NOUN
ajst-29868	231	28	-	-	NOUN
ajst-29868	231	29	mapping	mapping	NOUN
ajst-29868	231	30	53.78	53.78	NUM
ajst-29868	231	31	%	%	NOUN
ajst-29868	231	32	47.45	47.45	NUM
ajst-29868	231	33	%	%	NOUN
ajst-29868	231	34	84.52	84.52	NUM
ajst-29868	231	35	%	%	NOUN
ajst-29868	231	36	58.41	58.41	NUM
ajst-29868	231	37	%	%	NOUN
ajst-29868	231	38	our	our	PRON
ajst-29868	231	39	method	method	NOUN
ajst-29868	231	40	72.47	72.47	NUM
ajst-29868	231	41	%	%	NOUN
ajst-29868	231	42	67.46	67.46	NUM
ajst-29868	231	43	%	%	NOUN
ajst-29868	231	44	92.45	92.45	NUM
ajst-29868	231	45	%	%	NOUN
ajst-29868	231	46	78.43	78.43	NUM
ajst-29868	231	47	%	%	NOUN
ajst-29868	231	48	the	the	DET
ajst-29868	231	49	results	result	NOUN
ajst-29868	231	50	show	show	VERB
ajst-29868	231	51	that	that	SCONJ
ajst-29868	231	52	when	when	SCONJ
ajst-29868	231	53	processing	process	VERB
ajst-29868	231	54	fuzzy	fuzzy	ADJ
ajst-29868	231	55	labels	label	NOUN
ajst-29868	231	56	,	,	PUNCT
ajst-29868	231	57	our	our	PRON
ajst-29868	231	58	fusion	fusion	NOUN
ajst-29868	231	59	method	method	NOUN
ajst-29868	231	60	has	have	AUX
ajst-29868	231	61	improved	improve	VERB
ajst-29868	231	62	the	the	DET
ajst-29868	231	63	f1	f1	NOUN
ajst-29868	231	64	value	value	NOUN
ajst-29868	231	65	by	by	ADP
ajst-29868	231	66	at	at	ADV
ajst-29868	231	67	least	least	ADV
ajst-29868	231	68	19.87	19.87	NUM
ajst-29868	231	69	%	%	NOUN
ajst-29868	231	70	compared	compare	VERB
ajst-29868	231	71	to	to	ADP
ajst-29868	231	72	other	other	ADJ
ajst-29868	231	73	comparison	comparison	NOUN
ajst-29868	231	74	methods	method	NOUN
ajst-29868	231	75	,	,	PUNCT
ajst-29868	231	76	and	and	CCONJ
ajst-29868	231	77	the	the	DET
ajst-29868	231	78	accuracy	accuracy	NOUN
ajst-29868	231	79	has	have	AUX
ajst-29868	231	80	been	be	AUX
ajst-29868	231	81	significantly	significantly	ADV
ajst-29868	231	82	improved	improve	VERB
ajst-29868	231	83	.	.	PUNCT
ajst-29868	232	1	it	it	PRON
ajst-29868	232	2	was	be	AUX
ajst-29868	232	3	found	find	VERB
ajst-29868	232	4	that	that	SCONJ
ajst-29868	232	5	setting	set	VERB
ajst-29868	232	6	k=3	k=3	PROPN
ajst-29868	232	7	can	can	AUX
ajst-29868	232	8	achieve	achieve	VERB
ajst-29868	232	9	better	well	ADJ
ajst-29868	232	10	results	result	NOUN
ajst-29868	232	11	.	.	PUNCT
ajst-29868	233	1	the	the	DET
ajst-29868	233	2	reason	reason	NOUN
ajst-29868	233	3	may	may	AUX
ajst-29868	233	4	be	be	AUX
ajst-29868	233	5	that	that	SCONJ
ajst-29868	233	6	the	the	DET
ajst-29868	233	7	evidence	evidence	NOUN
ajst-29868	233	8	fusion	fusion	NOUN
ajst-29868	233	9	of	of	ADP
ajst-29868	233	10	three	three	NUM
ajst-29868	233	11	output	output	NOUN
ajst-29868	233	12	bpas	bpas	NOUN
ajst-29868	233	13	better	well	ADV
ajst-29868	233	14	utilizes	utilize	VERB
ajst-29868	233	15	the	the	DET
ajst-29868	233	16	uncertain	uncertain	ADJ
ajst-29868	233	17	information	information	NOUN
ajst-29868	233	18	in	in	ADP
ajst-29868	233	19	fuzzy	fuzzy	ADJ
ajst-29868	233	20	labels	label	NOUN
ajst-29868	233	21	.	.	PUNCT
ajst-29868	234	1	when	when	SCONJ
ajst-29868	234	2	the	the	DET
ajst-29868	234	3	number	number	NOUN
ajst-29868	234	4	of	of	ADP
ajst-29868	234	5	bpas	bpas	NOUN
ajst-29868	234	6	is	be	AUX
ajst-29868	234	7	increased	increase	VERB
ajst-29868	234	8	,	,	PUNCT
ajst-29868	234	9	the	the	DET
ajst-29868	234	10	performance	performance	NOUN
ajst-29868	234	11	of	of	ADP
ajst-29868	234	12	the	the	DET
ajst-29868	234	13	method	method	NOUN
ajst-29868	234	14	tends	tend	VERB
ajst-29868	234	15	to	to	PART
ajst-29868	234	16	stabilize	stabilize	VERB
ajst-29868	234	17	.	.	PUNCT
ajst-29868	235	1	the	the	DET
ajst-29868	235	2	reason	reason	NOUN
ajst-29868	235	3	may	may	AUX
ajst-29868	235	4	be	be	AUX
ajst-29868	235	5	that	that	SCONJ
ajst-29868	235	6	as	as	ADP
ajst-29868	235	7	the	the	DET
ajst-29868	235	8	number	number	NOUN
ajst-29868	235	9	of	of	ADP
ajst-29868	235	10	bpas	bpas	NOUN
ajst-29868	235	11	increases	increase	NOUN
ajst-29868	235	12	,	,	PUNCT
ajst-29868	235	13	the	the	DET
ajst-29868	235	14	uncertainty	uncertainty	NOUN
ajst-29868	235	15	information	information	NOUN
ajst-29868	235	16	in	in	ADP
ajst-29868	235	17	the	the	DET
ajst-29868	235	18	fuzzy	fuzzy	ADJ
ajst-29868	235	19	labels	label	NOUN
ajst-29868	235	20	is	be	AUX
ajst-29868	235	21	better	well	ADV
ajst-29868	235	22	utilized	utilize	VERB
ajst-29868	235	23	,	,	PUNCT
ajst-29868	235	24	and	and	CCONJ
ajst-29868	235	25	the	the	DET
ajst-29868	235	26	performance	performance	NOUN
ajst-29868	235	27	of	of	ADP
ajst-29868	235	28	the	the	DET
ajst-29868	235	29	method	method	NOUN
ajst-29868	235	30	tends	tend	VERB
ajst-29868	235	31	to	to	PART
ajst-29868	235	32	stabilize	stabilize	VERB
ajst-29868	235	33	.	.	PUNCT
ajst-29868	236	1	the	the	DET
ajst-29868	236	2	vignoring	vignoring	NOUN
ajst-29868	236	3	method	method	NOUN
ajst-29868	236	4	performed	perform	VERB
ajst-29868	236	5	poorly	poorly	ADV
ajst-29868	236	6	because	because	SCONJ
ajst-29868	236	7	this	this	DET
ajst-29868	236	8	direct	direct	ADJ
ajst-29868	236	9	discard	discard	NOUN
ajst-29868	236	10	method	method	NOUN
ajst-29868	236	11	ignored	ignore	VERB
ajst-29868	236	12	the	the	DET
ajst-29868	236	13	valuable	valuable	ADJ
ajst-29868	236	14	uncertain	uncertain	ADJ
ajst-29868	236	15	information	information	NOUN
ajst-29868	236	16	between	between	ADP
ajst-29868	236	17	fuzzy	fuzzy	ADJ
ajst-29868	236	18	labels	label	NOUN
ajst-29868	236	19	.	.	PUNCT
ajst-29868	237	1	after	after	ADP
ajst-29868	237	2	discarding	discard	VERB
ajst-29868	237	3	the	the	DET
ajst-29868	237	4	fuzzy	fuzzy	ADJ
ajst-29868	237	5	labels	label	NOUN
ajst-29868	237	6	,	,	PUNCT
ajst-29868	237	7	there	there	PRON
ajst-29868	237	8	may	may	AUX
ajst-29868	237	9	even	even	ADV
ajst-29868	237	10	be	be	AUX
ajst-29868	237	11	cases	case	NOUN
ajst-29868	237	12	where	where	SCONJ
ajst-29868	237	13	only	only	ADV
ajst-29868	237	14	a	a	DET
ajst-29868	237	15	few	few	ADJ
ajst-29868	237	16	samples	sample	NOUN
ajst-29868	237	17	of	of	ADP
ajst-29868	237	18	certain	certain	ADJ
ajst-29868	237	19	categories	category	NOUN
ajst-29868	237	20	exist	exist	VERB
ajst-29868	237	21	,	,	PUNCT
ajst-29868	237	22	leading	lead	VERB
ajst-29868	237	23	to	to	ADP
ajst-29868	237	24	the	the	DET
ajst-29868	237	25	classifier	classifier	NOUN
ajst-29868	237	26	losing	lose	VERB
ajst-29868	237	27	the	the	DET
ajst-29868	237	28	ability	ability	NOUN
ajst-29868	237	29	to	to	PART
ajst-29868	237	30	recognize	recognize	VERB
ajst-29868	237	31	some	some	DET
ajst-29868	237	32	specific	specific	ADJ
ajst-29868	237	33	categories	category	NOUN
ajst-29868	237	34	.	.	PUNCT
ajst-29868	238	1	the	the	DET
ajst-29868	238	2	reason	reason	NOUN
ajst-29868	238	3	for	for	ADP
ajst-29868	238	4	the	the	DET
ajst-29868	238	5	poor	poor	ADJ
ajst-29868	238	6	performance	performance	NOUN
ajst-29868	238	7	of	of	ADP
ajst-29868	238	8	vmapping	vmapping	NOUN
ajst-29868	238	9	may	may	AUX
ajst-29868	238	10	be	be	AUX
ajst-29868	238	11	that	that	DET
ajst-29868	238	12	unnecessary	unnecessary	ADJ
ajst-29868	238	13	noise	noise	NOUN
ajst-29868	238	14	was	be	AUX
ajst-29868	238	15	introduced	introduce	VERB
ajst-29868	238	16	when	when	SCONJ
ajst-29868	238	17	the	the	DET
ajst-29868	238	18	uncertain	uncertain	ADJ
ajst-29868	238	19	information	information	NOUN
ajst-29868	238	20	was	be	AUX
ajst-29868	238	21	transformed	transform	VERB
ajst-29868	238	22	into	into	ADP
ajst-29868	238	23	a	a	DET
ajst-29868	238	24	certain	certain	ADJ
ajst-29868	238	25	form	form	NOUN
ajst-29868	238	26	.	.	PUNCT
ajst-29868	239	1	when	when	SCONJ
ajst-29868	239	2	the	the	DET
ajst-29868	239	3	fuzzy	fuzzy	ADJ
ajst-29868	239	4	labels	label	NOUN
ajst-29868	239	5	are	be	AUX
ajst-29868	239	6	disambiguated	disambiguate	VERB
ajst-29868	239	7	,	,	PUNCT
ajst-29868	239	8	a	a	DET
ajst-29868	239	9	large	large	ADJ
ajst-29868	239	10	number	number	NOUN
ajst-29868	239	11	of	of	ADP
ajst-29868	239	12	false	false	ADJ
ajst-29868	239	13	positive	positive	ADJ
ajst-29868	239	14	labels	label	NOUN
ajst-29868	239	15	are	be	AUX
ajst-29868	239	16	introduced	introduce	VERB
ajst-29868	239	17	at	at	ADP
ajst-29868	239	18	the	the	DET
ajst-29868	239	19	same	same	ADJ
ajst-29868	239	20	time	time	NOUN
ajst-29868	239	21	,	,	PUNCT
ajst-29868	239	22	resulting	result	VERB
ajst-29868	239	23	in	in	ADP
ajst-29868	239	24	a	a	DET
ajst-29868	239	25	decrease	decrease	NOUN
ajst-29868	239	26	in	in	ADP
ajst-29868	239	27	the	the	DET
ajst-29868	239	28	reliability	reliability	NOUN
ajst-29868	239	29	of	of	ADP
ajst-29868	239	30	the	the	DET
ajst-29868	239	31	converted	convert	VERB
ajst-29868	239	32	labels	label	NOUN
ajst-29868	239	33	.	.	PUNCT
ajst-29868	240	1	therefore	therefore	ADV
ajst-29868	240	2	,	,	PUNCT
ajst-29868	240	3	this	this	DET
ajst-29868	240	4	comparative	comparative	ADJ
ajst-29868	240	5	method	method	NOUN
ajst-29868	240	6	also	also	ADV
ajst-29868	240	7	performed	perform	VERB
ajst-29868	240	8	poorly	poorly	ADV
ajst-29868	240	9	.	.	PUNCT
ajst-29868	241	1	figure	figure	VERB
ajst-29868	241	2	4	4	NUM
ajst-29868	241	3	.	.	NOUN
ajst-29868	241	4	comparison	comparison	NOUN
ajst-29868	241	5	curve	curve	NOUN
ajst-29868	241	6	of	of	ADP
ajst-29868	241	7	performance	performance	NOUN
ajst-29868	241	8	the	the	DET
ajst-29868	241	9	results	result	NOUN
ajst-29868	241	10	show	show	VERB
ajst-29868	241	11	that	that	SCONJ
ajst-29868	241	12	our	our	PRON
ajst-29868	241	13	proposed	propose	VERB
ajst-29868	241	14	fusion	fusion	NOUN
ajst-29868	241	15	method	method	NOUN
ajst-29868	241	16	has	have	VERB
ajst-29868	241	17	good	good	ADJ
ajst-29868	241	18	fusion	fusion	NOUN
ajst-29868	241	19	performance	performance	NOUN
ajst-29868	241	20	on	on	ADP
ajst-29868	241	21	the	the	DET
ajst-29868	241	22	synthetic	synthetic	ADJ
ajst-29868	241	23	medical	medical	ADJ
ajst-29868	241	24	dataset	dataset	NOUN
ajst-29868	241	25	with	with	ADP
ajst-29868	241	26	fuzzy	fuzzy	ADJ
ajst-29868	241	27	labels	label	NOUN
ajst-29868	241	28	.	.	PUNCT
ajst-29868	242	1	compared	compare	VERB
ajst-29868	242	2	with	with	ADP
ajst-29868	242	3	the	the	DET
ajst-29868	242	4	fusion	fusion	NOUN
ajst-29868	242	5	of	of	ADP
ajst-29868	242	6	precise	precise	ADJ
ajst-29868	242	7	data	datum	NOUN
ajst-29868	242	8	,	,	PUNCT
ajst-29868	242	9	although	although	SCONJ
ajst-29868	242	10	the	the	DET
ajst-29868	242	11	data	datum	NOUN
ajst-29868	242	12	used	use	VERB
ajst-29868	242	13	has	have	VERB
ajst-29868	242	14	fuzzy	fuzzy	ADJ
ajst-29868	242	15	labels	label	NOUN
ajst-29868	242	16	,	,	PUNCT
ajst-29868	242	17	the	the	DET
ajst-29868	242	18	performance	performance	NOUN
ajst-29868	242	19	level	level	NOUN
ajst-29868	242	20	of	of	ADP
ajst-29868	242	21	the	the	DET
ajst-29868	242	22	proposed	propose	VERB
ajst-29868	242	23	method	method	NOUN
ajst-29868	242	24	is	be	AUX
ajst-29868	242	25	relatively	relatively	ADV
ajst-29868	242	26	close	close	ADJ
ajst-29868	242	27	.	.	PUNCT
ajst-29868	243	1	from	from	ADP
ajst-29868	243	2	past	past	ADJ
ajst-29868	243	3	experience	experience	NOUN
ajst-29868	243	4	,	,	PUNCT
ajst-29868	243	5	the	the	DET
ajst-29868	243	6	fusion	fusion	NOUN
ajst-29868	243	7	performance	performance	NOUN
ajst-29868	243	8	of	of	ADP
ajst-29868	243	9	precisely	precisely	ADV
ajst-29868	243	10	labeled	label	VERB
ajst-29868	243	11	data	datum	NOUN
ajst-29868	243	12	is	be	AUX
ajst-29868	243	13	the	the	DET
ajst-29868	243	14	target	target	NOUN
ajst-29868	243	15	(	(	PUNCT
ajst-29868	243	16	upper	upper	ADJ
ajst-29868	243	17	limit	limit	NOUN
ajst-29868	243	18	)	)	PUNCT
ajst-29868	243	19	for	for	ADP
ajst-29868	243	20	methods	method	NOUN
ajst-29868	243	21	dealing	deal	VERB
ajst-29868	243	22	with	with	ADP
ajst-29868	243	23	fuzzy	fuzzy	ADJ
ajst-29868	243	24	labels	label	NOUN
ajst-29868	243	25	.	.	PUNCT
ajst-29868	244	1	in	in	ADP
ajst-29868	244	2	other	other	ADJ
ajst-29868	244	3	words	word	NOUN
ajst-29868	244	4	,	,	PUNCT
ajst-29868	244	5	researchers	researcher	NOUN
ajst-29868	244	6	expect	expect	VERB
ajst-29868	244	7	the	the	DET
ajst-29868	244	8	evidence	evidence	NOUN
ajst-29868	244	9	fusion	fusion	NOUN
ajst-29868	244	10	method	method	NOUN
ajst-29868	244	11	proposed	propose	VERB
ajst-29868	244	12	in	in	ADP
ajst-29868	244	13	this	this	DET
ajst-29868	244	14	paper	paper	NOUN
ajst-29868	244	15	to	to	PART
ajst-29868	244	16	perform	perform	VERB
ajst-29868	244	17	closer	close	ADV
ajst-29868	244	18	to	to	ADP
ajst-29868	244	19	the	the	DET
ajst-29868	244	20	results	result	NOUN
ajst-29868	244	21	of	of	ADP
ajst-29868	244	22	precise	precise	ADJ
ajst-29868	244	23	label	label	NOUN
ajst-29868	244	24	fusion	fusion	NOUN
ajst-29868	244	25	when	when	SCONJ
ajst-29868	244	26	dealing	deal	VERB
ajst-29868	244	27	with	with	ADP
ajst-29868	244	28	data	datum	NOUN
ajst-29868	244	29	with	with	ADP
ajst-29868	244	30	fuzzy	fuzzy	ADJ
ajst-29868	244	31	labels	label	NOUN
ajst-29868	244	32	.	.	PUNCT
ajst-29868	245	1	compared	compare	VERB
ajst-29868	245	2	with	with	ADP
ajst-29868	245	3	other	other	ADJ
ajst-29868	245	4	comparative	comparative	ADJ
ajst-29868	245	5	methods	method	NOUN
ajst-29868	245	6	,	,	PUNCT
ajst-29868	245	7	our	our	PRON
ajst-29868	245	8	proposed	propose	VERB
ajst-29868	245	9	fusion	fusion	NOUN
ajst-29868	245	10	method	method	NOUN
ajst-29868	245	11	has	have	AUX
ajst-29868	245	12	significantly	significantly	ADV
ajst-29868	245	13	improved	improve	VERB
ajst-29868	245	14	performance	performance	NOUN
ajst-29868	245	15	when	when	SCONJ
ajst-29868	245	16	dealing	deal	VERB
ajst-29868	245	17	with	with	ADP
ajst-29868	245	18	data	datum	NOUN
ajst-29868	245	19	with	with	ADP
ajst-29868	245	20	fuzzy	fuzzy	ADJ
ajst-29868	245	21	labels	label	NOUN
ajst-29868	245	22	.	.	PUNCT
ajst-29868	246	1	on	on	ADP
ajst-29868	246	2	the	the	DET
ajst-29868	246	3	synthetic	synthetic	ADJ
ajst-29868	246	4	medical	medical	ADJ
ajst-29868	246	5	dataset	dataset	NOUN
ajst-29868	246	6	,	,	PUNCT
ajst-29868	246	7	the	the	DET
ajst-29868	246	8	gap	gap	NOUN
ajst-29868	246	9	between	between	ADP
ajst-29868	246	10	f1	f1	NOUN
ajst-29868	246	11	-	-	PUNCT
ajst-29868	246	12	score	score	NOUN
ajst-29868	246	13	and	and	CCONJ
ajst-29868	246	14	the	the	DET
ajst-29868	246	15	upper	upper	ADJ
ajst-29868	246	16	limit	limit	NOUN
ajst-29868	246	17	has	have	AUX
ajst-29868	246	18	been	be	AUX
ajst-29868	246	19	reduced	reduce	VERB
ajst-29868	246	20	from	from	ADP
ajst-29868	246	21	28.60	28.60	NUM
ajst-29868	246	22	%	%	NOUN
ajst-29868	246	23	and	and	CCONJ
ajst-29868	246	24	35.16	35.16	NUM
ajst-29868	246	25	%	%	NOUN
ajst-29868	246	26	to	to	ADP
ajst-29868	246	27	12.59	12.59	NUM
ajst-29868	246	28	%	%	NOUN
ajst-29868	246	29	and	and	CCONJ
ajst-29868	246	30	14.78	14.78	NUM
ajst-29868	246	31	%	%	NOUN
ajst-29868	246	32	.	.	PUNCT
ajst-29868	247	1	similarly	similarly	ADV
ajst-29868	247	2	,	,	PUNCT
ajst-29868	247	3	for	for	ADP
ajst-29868	247	4	the	the	DET
ajst-29868	247	5	other	other	ADJ
ajst-29868	247	6	two	two	NUM
ajst-29868	247	7	indicators	indicator	NOUN
ajst-29868	247	8	roc	roc	NOUN
ajst-29868	247	9	-	-	PUNCT
ajst-29868	247	10	auc	auc	NOUN
ajst-29868	247	11	and	and	CCONJ
ajst-29868	247	12	pr	pr	NOUN
ajst-29868	247	13	-	-	PUNCT
ajst-29868	247	14	auc	auc	NOUN
ajst-29868	247	15	,	,	PUNCT
ajst-29868	247	16	the	the	DET
ajst-29868	247	17	gap	gap	NOUN
ajst-29868	247	18	with	with	ADP
ajst-29868	247	19	the	the	DET
ajst-29868	247	20	upper	upper	ADJ
ajst-29868	247	21	limit	limit	NOUN
ajst-29868	247	22	has	have	AUX
ajst-29868	247	23	also	also	ADV
ajst-29868	247	24	been	be	AUX
ajst-29868	247	25	greatly	greatly	ADV
ajst-29868	247	26	reduced	reduce	VERB
ajst-29868	247	27	.	.	PUNCT
ajst-29868	248	1	in	in	ADP
ajst-29868	248	2	addition	addition	NOUN
ajst-29868	248	3	,	,	PUNCT
ajst-29868	248	4	this	this	DET
ajst-29868	248	5	study	study	NOUN
ajst-29868	248	6	deployed	deploy	VERB
ajst-29868	248	7	a	a	DET
ajst-29868	248	8	dnn	dnn	PROPN
ajst-29868	248	9	model	model	NOUN
ajst-29868	248	10	to	to	PART
ajst-29868	248	11	fit	fit	VERB
ajst-29868	248	12	the	the	DET
ajst-29868	248	13	fusion	fusion	NOUN
ajst-29868	248	14	results	result	NOUN
ajst-29868	248	15	to	to	PART
ajst-29868	248	16	verify	verify	VERB
ajst-29868	248	17	the	the	DET
ajst-29868	248	18	effect	effect	NOUN
ajst-29868	248	19	of	of	ADP
ajst-29868	248	20	data	datum	NOUN
ajst-29868	248	21	fusion	fusion	NOUN
ajst-29868	248	22	.	.	PUNCT
ajst-29868	249	1	the	the	DET
ajst-29868	249	2	dnn	dnn	PROPN
ajst-29868	249	3	,	,	PUNCT
ajst-29868	249	4	through	through	ADP
ajst-29868	249	5	its	its	PRON
ajst-29868	249	6	deep	deep	ADJ
ajst-29868	249	7	structure	structure	NOUN
ajst-29868	249	8	,	,	PUNCT
ajst-29868	249	9	can	can	AUX
ajst-29868	249	10	automatically	automatically	ADV
ajst-29868	249	11	extract	extract	VERB
ajst-29868	249	12	useful	useful	ADJ
ajst-29868	249	13	features	feature	NOUN
ajst-29868	249	14	from	from	ADP
ajst-29868	249	15	the	the	DET
ajst-29868	249	16	data	datum	NOUN
ajst-29868	249	17	and	and	CCONJ
ajst-29868	249	18	has	have	VERB
ajst-29868	249	19	strong	strong	ADJ
ajst-29868	249	20	nonlinear	nonlinear	ADJ
ajst-29868	249	21	processing	processing	NOUN
ajst-29868	249	22	capabilities	capability	NOUN
ajst-29868	249	23	.	.	PUNCT
ajst-29868	250	1	it	it	PRON
ajst-29868	250	2	can	can	AUX
ajst-29868	250	3	be	be	AUX
ajst-29868	250	4	seen	see	VERB
ajst-29868	250	5	from	from	ADP
ajst-29868	250	6	the	the	DET
ajst-29868	250	7	figure	figure	NOUN
ajst-29868	250	8	that	that	SCONJ
ajst-29868	250	9	the	the	DET
ajst-29868	250	10	decision	decision	NOUN
ajst-29868	250	11	boundary	boundary	NOUN
ajst-29868	250	12	of	of	ADP
ajst-29868	250	13	this	this	DET
ajst-29868	250	14	fusion	fusion	NOUN
ajst-29868	250	15	model	model	NOUN
ajst-29868	250	16	well	well	ADV
ajst-29868	250	17	separates	separate	VERB
ajst-29868	250	18	the	the	DET
ajst-29868	250	19	samples	sample	NOUN
ajst-29868	250	20	of	of	ADP
ajst-29868	250	21	the	the	DET
ajst-29868	250	22	original	original	ADJ
ajst-29868	250	23	dataset	dataset	NOUN
ajst-29868	250	24	,	,	PUNCT
ajst-29868	250	25	indicating	indicate	VERB
ajst-29868	250	26	that	that	SCONJ
ajst-29868	250	27	the	the	DET
ajst-29868	250	28	fusion	fusion	NOUN
ajst-29868	250	29	model	model	NOUN
ajst-29868	250	30	is	be	AUX
ajst-29868	250	31	effective	effective	ADJ
ajst-29868	250	32	.	.	PUNCT
ajst-29868	251	1	143	143	NUM
ajst-29868	251	2	figure	figure	NOUN
ajst-29868	251	3	5	5	NUM
ajst-29868	251	4	.	.	PUNCT
ajst-29868	251	5	dnn	dnn	PROPN
ajst-29868	251	6	model	model	PROPN
ajst-29868	251	7	fitting	fitting	ADJ
ajst-29868	251	8	of	of	ADP
ajst-29868	251	9	fusion	fusion	NOUN
ajst-29868	251	10	results	result	NOUN
ajst-29868	251	11	5	5	NUM
ajst-29868	251	12	.	.	PUNCT
ajst-29868	251	13	conclusion	conclusion	NOUN
ajst-29868	251	14	this	this	DET
ajst-29868	251	15	paper	paper	NOUN
ajst-29868	251	16	proposes	propose	VERB
ajst-29868	251	17	a	a	DET
ajst-29868	251	18	new	new	ADJ
ajst-29868	251	19	method	method	NOUN
ajst-29868	251	20	for	for	ADP
ajst-29868	251	21	classifying	classify	VERB
ajst-29868	251	22	vaguely	vaguely	ADV
ajst-29868	251	23	labeled	label	VERB
ajst-29868	251	24	data	datum	NOUN
ajst-29868	251	25	based	base	VERB
ajst-29868	251	26	on	on	ADP
ajst-29868	251	27	evidence	evidence	NOUN
ajst-29868	251	28	fusion	fusion	NOUN
ajst-29868	251	29	.	.	PUNCT
ajst-29868	252	1	the	the	DET
ajst-29868	252	2	problem	problem	NOUN
ajst-29868	252	3	of	of	ADP
ajst-29868	252	4	classifying	classify	VERB
ajst-29868	252	5	data	datum	NOUN
ajst-29868	252	6	with	with	ADP
ajst-29868	252	7	vague	vague	ADJ
ajst-29868	252	8	labels	label	NOUN
ajst-29868	252	9	is	be	AUX
ajst-29868	252	10	formally	formally	ADV
ajst-29868	252	11	defined	define	VERB
ajst-29868	252	12	.	.	PUNCT
ajst-29868	253	1	a	a	DET
ajst-29868	253	2	new	new	ADJ
ajst-29868	253	3	effective	effective	ADJ
ajst-29868	253	4	label	label	NOUN
ajst-29868	253	5	set	set	VERB
ajst-29868	253	6	coverage	coverage	NOUN
ajst-29868	253	7	allocation	allocation	NOUN
ajst-29868	253	8	algorithm	algorithm	NOUN
ajst-29868	253	9	is	be	AUX
ajst-29868	253	10	proposed	propose	VERB
ajst-29868	253	11	to	to	PART
ajst-29868	253	12	group	group	VERB
ajst-29868	253	13	the	the	DET
ajst-29868	253	14	vaguely	vaguely	ADV
ajst-29868	253	15	labeled	label	VERB
ajst-29868	253	16	data	datum	NOUN
ajst-29868	253	17	into	into	ADP
ajst-29868	253	18	several	several	ADJ
ajst-29868	253	19	small	small	ADJ
ajst-29868	253	20	data	datum	NOUN
ajst-29868	253	21	groups	group	NOUN
ajst-29868	253	22	,	,	PUNCT
ajst-29868	253	23	thereby	thereby	ADV
ajst-29868	253	24	reducing	reduce	VERB
ajst-29868	253	25	the	the	DET
ajst-29868	253	26	number	number	NOUN
ajst-29868	253	27	of	of	ADP
ajst-29868	253	28	combinations	combination	NOUN
ajst-29868	253	29	.	.	PUNCT
ajst-29868	254	1	each	each	DET
ajst-29868	254	2	small	small	ADJ
ajst-29868	254	3	data	datum	NOUN
ajst-29868	254	4	group	group	NOUN
ajst-29868	254	5	with	with	ADP
ajst-29868	254	6	a	a	DET
ajst-29868	254	7	base	base	NOUN
ajst-29868	254	8	classifier	classifier	NOUN
ajst-29868	254	9	is	be	AUX
ajst-29868	254	10	regarded	regard	VERB
ajst-29868	254	11	as	as	ADP
ajst-29868	254	12	a	a	DET
ajst-29868	254	13	piece	piece	NOUN
ajst-29868	254	14	of	of	ADP
ajst-29868	254	15	evidence	evidence	NOUN
ajst-29868	254	16	,	,	PUNCT
ajst-29868	254	17	and	and	CCONJ
ajst-29868	254	18	evidence	evidence	NOUN
ajst-29868	254	19	theory	theory	NOUN
ajst-29868	254	20	is	be	AUX
ajst-29868	254	21	applied	apply	VERB
ajst-29868	254	22	to	to	ADP
ajst-29868	254	23	the	the	DET
ajst-29868	254	24	classification	classification	NOUN
ajst-29868	254	25	of	of	ADP
ajst-29868	254	26	vaguely	vaguely	ADV
ajst-29868	254	27	labeled	label	VERB
ajst-29868	254	28	data	datum	NOUN
ajst-29868	254	29	.	.	PUNCT
ajst-29868	255	1	by	by	ADP
ajst-29868	255	2	converting	convert	VERB
ajst-29868	255	3	the	the	DET
ajst-29868	255	4	evidence	evidence	NOUN
ajst-29868	255	5	theory	theory	NOUN
ajst-29868	255	6	and	and	CCONJ
ajst-29868	255	7	the	the	DET
ajst-29868	255	8	transformation	transformation	NOUN
ajst-29868	255	9	of	of	ADP
ajst-29868	255	10	the	the	DET
ajst-29868	255	11	credibility	credibility	NOUN
ajst-29868	255	12	function	function	NOUN
ajst-29868	255	13	,	,	PUNCT
ajst-29868	255	14	the	the	DET
ajst-29868	255	15	gap	gap	NOUN
ajst-29868	255	16	between	between	ADP
ajst-29868	255	17	vague	vague	ADJ
ajst-29868	255	18	labels	label	NOUN
ajst-29868	255	19	and	and	CCONJ
ajst-29868	255	20	precise	precise	ADJ
ajst-29868	255	21	classification	classification	NOUN
ajst-29868	255	22	results	result	NOUN
ajst-29868	255	23	is	be	AUX
ajst-29868	255	24	bridged	bridge	VERB
ajst-29868	255	25	.	.	PUNCT
ajst-29868	256	1	this	this	DET
ajst-29868	256	2	method	method	NOUN
ajst-29868	256	3	is	be	AUX
ajst-29868	256	4	universal	universal	ADJ
ajst-29868	256	5	because	because	SCONJ
ajst-29868	256	6	it	it	PRON
ajst-29868	256	7	can	can	AUX
ajst-29868	256	8	be	be	AUX
ajst-29868	256	9	equipped	equip	VERB
ajst-29868	256	10	with	with	ADP
ajst-29868	256	11	any	any	DET
ajst-29868	256	12	classifier	classifier	NOUN
ajst-29868	256	13	that	that	PRON
ajst-29868	256	14	can	can	AUX
ajst-29868	256	15	give	give	VERB
ajst-29868	256	16	a	a	DET
ajst-29868	256	17	probability	probability	NOUN
ajst-29868	256	18	distribution	distribution	NOUN
ajst-29868	256	19	result	result	NOUN
ajst-29868	256	20	.	.	PUNCT
ajst-29868	257	1	experiments	experiment	NOUN
ajst-29868	257	2	show	show	VERB
ajst-29868	257	3	that	that	SCONJ
ajst-29868	257	4	this	this	DET
ajst-29868	257	5	method	method	NOUN
ajst-29868	257	6	can	can	AUX
ajst-29868	257	7	effectively	effectively	ADV
ajst-29868	257	8	combine	combine	VERB
ajst-29868	257	9	the	the	DET
ajst-29868	257	10	complementary	complementary	ADJ
ajst-29868	257	11	information	information	NOUN
ajst-29868	257	12	of	of	ADP
ajst-29868	257	13	vaguely	vaguely	ADV
ajst-29868	257	14	labeled	label	VERB
ajst-29868	257	15	data	datum	NOUN
ajst-29868	257	16	.	.	PUNCT
ajst-29868	258	1	after	after	ADP
ajst-29868	258	2	processing	process	VERB
ajst-29868	258	3	the	the	DET
ajst-29868	258	4	fuzzy	fuzzy	ADJ
ajst-29868	258	5	data	datum	NOUN
ajst-29868	258	6	,	,	PUNCT
ajst-29868	258	7	the	the	DET
ajst-29868	258	8	multimodal	multimodal	NOUN
ajst-29868	258	9	data	datum	NOUN
ajst-29868	258	10	fusion	fusion	NOUN
ajst-29868	258	11	process	process	NOUN
ajst-29868	258	12	is	be	AUX
ajst-29868	258	13	analyzed	analyze	VERB
ajst-29868	258	14	from	from	ADP
ajst-29868	258	15	the	the	DET
ajst-29868	258	16	perspective	perspective	NOUN
ajst-29868	258	17	of	of	ADP
ajst-29868	258	18	information	information	NOUN
ajst-29868	258	19	theory	theory	NOUN
ajst-29868	258	20	.	.	PUNCT
ajst-29868	259	1	essentially	essentially	ADV
ajst-29868	259	2	,	,	PUNCT
ajst-29868	259	3	the	the	DET
ajst-29868	259	4	process	process	NOUN
ajst-29868	259	5	of	of	ADP
ajst-29868	259	6	multimodal	multimodal	NOUN
ajst-29868	259	7	data	datum	NOUN
ajst-29868	259	8	fusion	fusion	NOUN
ajst-29868	259	9	is	be	AUX
ajst-29868	259	10	to	to	PART
ajst-29868	259	11	fuse	fuse	VERB
ajst-29868	259	12	all	all	DET
ajst-29868	259	13	the	the	DET
ajst-29868	259	14	information	information	NOUN
ajst-29868	259	15	provided	provide	VERB
ajst-29868	259	16	by	by	ADP
ajst-29868	259	17	each	each	DET
ajst-29868	259	18	modal	modal	ADJ
ajst-29868	259	19	channel	channel	NOUN
ajst-29868	259	20	to	to	PART
ajst-29868	259	21	reduce	reduce	VERB
ajst-29868	259	22	the	the	DET
ajst-29868	259	23	model	model	NOUN
ajst-29868	259	24	's	's	PART
ajst-29868	259	25	uncertainty	uncertainty	NOUN
ajst-29868	259	26	and	and	CCONJ
ajst-29868	259	27	improve	improve	VERB
ajst-29868	259	28	the	the	DET
ajst-29868	259	29	model	model	NOUN
ajst-29868	259	30	's	's	PART
ajst-29868	259	31	predictive	predictive	ADJ
ajst-29868	259	32	accuracy	accuracy	NOUN
ajst-29868	259	33	.	.	PUNCT
ajst-29868	260	1	this	this	DET
ajst-29868	260	2	paper	paper	NOUN
ajst-29868	260	3	defines	define	VERB
ajst-29868	260	4	the	the	DET
ajst-29868	260	5	basic	basic	ADJ
ajst-29868	260	6	concepts	concept	NOUN
ajst-29868	260	7	of	of	ADP
ajst-29868	260	8	multimodal	multimodal	NOUN
ajst-29868	260	9	data	datum	NOUN
ajst-29868	260	10	fusion	fusion	NOUN
ajst-29868	260	11	analysis	analysis	NOUN
ajst-29868	260	12	,	,	PUNCT
ajst-29868	260	13	including	include	VERB
ajst-29868	260	14	how	how	SCONJ
ajst-29868	260	15	to	to	PART
ajst-29868	260	16	measure	measure	VERB
ajst-29868	260	17	the	the	DET
ajst-29868	260	18	maximum	maximum	ADJ
ajst-29868	260	19	model	model	NOUN
ajst-29868	260	20	accuracy	accuracy	NOUN
ajst-29868	260	21	in	in	ADP
ajst-29868	260	22	multimodal	multimodal	NOUN
ajst-29868	260	23	data	datum	NOUN
ajst-29868	260	24	fusion	fusion	NOUN
ajst-29868	260	25	tasks	task	NOUN
ajst-29868	260	26	,	,	PUNCT
ajst-29868	260	27	how	how	SCONJ
ajst-29868	260	28	to	to	PART
ajst-29868	260	29	measure	measure	VERB
ajst-29868	260	30	model	model	NOUN
ajst-29868	260	31	uncertainty	uncertainty	NOUN
ajst-29868	260	32	,	,	PUNCT
ajst-29868	260	33	and	and	CCONJ
ajst-29868	260	34	how	how	SCONJ
ajst-29868	260	35	to	to	PART
ajst-29868	260	36	distinguish	distinguish	VERB
ajst-29868	260	37	different	different	ADJ
ajst-29868	260	38	situations	situation	NOUN
ajst-29868	260	39	of	of	ADP
ajst-29868	260	40	multimodal	multimodal	NOUN
ajst-29868	260	41	data	datum	NOUN
ajst-29868	260	42	fusion	fusion	NOUN
ajst-29868	260	43	.	.	PUNCT
ajst-29868	261	1	it	it	PRON
ajst-29868	261	2	is	be	AUX
ajst-29868	261	3	ultimately	ultimately	ADV
ajst-29868	261	4	proven	prove	VERB
ajst-29868	261	5	that	that	SCONJ
ajst-29868	261	6	if	if	SCONJ
ajst-29868	261	7	the	the	DET
ajst-29868	261	8	modal	modal	ADJ
ajst-29868	261	9	data	data	NOUN
ajst-29868	261	10	contains	contain	VERB
ajst-29868	261	11	unique	unique	ADJ
ajst-29868	261	12	information	information	NOUN
ajst-29868	261	13	that	that	PRON
ajst-29868	261	14	improves	improve	VERB
ajst-29868	261	15	model	model	NOUN
ajst-29868	261	16	accuracy	accuracy	NOUN
ajst-29868	261	17	,	,	PUNCT
ajst-29868	261	18	then	then	ADV
ajst-29868	261	19	the	the	DET
ajst-29868	261	20	predictive	predictive	ADJ
ajst-29868	261	21	model	model	NOUN
ajst-29868	261	22	with	with	ADP
ajst-29868	261	23	additional	additional	ADJ
ajst-29868	261	24	modal	modal	ADJ
ajst-29868	261	25	channels	channel	NOUN
ajst-29868	261	26	can	can	AUX
ajst-29868	261	27	not	not	PART
ajst-29868	261	28	reduce	reduce	VERB
ajst-29868	261	29	the	the	DET
ajst-29868	261	30	upper	upper	ADJ
ajst-29868	261	31	limit	limit	NOUN
ajst-29868	261	32	of	of	ADP
ajst-29868	261	33	model	model	NOUN
ajst-29868	261	34	accuracy	accuracy	NOUN
ajst-29868	261	35	,	,	PUNCT
ajst-29868	261	36	and	and	CCONJ
ajst-29868	261	37	the	the	DET
ajst-29868	261	38	modal	modal	ADJ
ajst-29868	261	39	channels	channel	NOUN
ajst-29868	261	40	are	be	AUX
ajst-29868	261	41	indispensable	indispensable	ADJ
ajst-29868	261	42	to	to	PART
ajst-29868	261	43	achieve	achieve	VERB
ajst-29868	261	44	the	the	DET
ajst-29868	261	45	upper	upper	ADJ
ajst-29868	261	46	limit	limit	NOUN
ajst-29868	261	47	of	of	ADP
ajst-29868	261	48	model	model	NOUN
ajst-29868	261	49	accuracy	accuracy	NOUN
ajst-29868	261	50	.	.	PUNCT
ajst-29868	262	1	from	from	ADP
ajst-29868	262	2	an	an	DET
ajst-29868	262	3	information	information	NOUN
ajst-29868	262	4	perspective	perspective	NOUN
ajst-29868	262	5	,	,	PUNCT
ajst-29868	262	6	this	this	DET
ajst-29868	262	7	analysis	analysis	NOUN
ajst-29868	262	8	can	can	AUX
ajst-29868	262	9	be	be	AUX
ajst-29868	262	10	applied	apply	VERB
ajst-29868	262	11	to	to	ADP
ajst-29868	262	12	all	all	DET
ajst-29868	262	13	possible	possible	ADJ
ajst-29868	262	14	cases	case	NOUN
ajst-29868	262	15	of	of	ADP
ajst-29868	262	16	multimodal	multimodal	NOUN
ajst-29868	262	17	data	datum	NOUN
ajst-29868	262	18	fusion	fusion	NOUN
ajst-29868	262	19	that	that	PRON
ajst-29868	262	20	may	may	AUX
ajst-29868	262	21	contain	contain	VERB
ajst-29868	262	22	incomplete	incomplete	ADJ
ajst-29868	262	23	data	datum	NOUN
ajst-29868	262	24	,	,	PUNCT
ajst-29868	262	25	inconsistent	inconsistent	ADJ
ajst-29868	262	26	data	datum	NOUN
ajst-29868	262	27	,	,	PUNCT
ajst-29868	262	28	and	and	CCONJ
ajst-29868	262	29	conflicting	conflicting	ADJ
ajst-29868	262	30	data	datum	NOUN
ajst-29868	262	31	.	.	PUNCT
ajst-29868	263	1	in	in	ADP
ajst-29868	263	2	future	future	ADJ
ajst-29868	263	3	work	work	NOUN
ajst-29868	263	4	,	,	PUNCT
ajst-29868	263	5	the	the	DET
ajst-29868	263	6	issue	issue	NOUN
ajst-29868	263	7	of	of	ADP
ajst-29868	263	8	the	the	DET
ajst-29868	263	9	exponential	exponential	ADJ
ajst-29868	263	10	growth	growth	NOUN
ajst-29868	263	11	of	of	ADP
ajst-29868	263	12	fuzzy	fuzzy	ADJ
ajst-29868	263	13	label	label	NOUN
ajst-29868	263	14	indices	index	NOUN
ajst-29868	263	15	can	can	AUX
ajst-29868	263	16	be	be	AUX
ajst-29868	263	17	further	far	ADV
ajst-29868	263	18	studied	study	VERB
ajst-29868	263	19	.	.	PUNCT
ajst-29868	264	1	to	to	PART
ajst-29868	264	2	provide	provide	VERB
ajst-29868	264	3	a	a	DET
ajst-29868	264	4	data	data	NOUN
ajst-29868	264	5	basis	basis	NOUN
ajst-29868	264	6	for	for	ADP
ajst-29868	264	7	the	the	DET
ajst-29868	264	8	discovery	discovery	NOUN
ajst-29868	264	9	of	of	ADP
ajst-29868	264	10	massive	massive	ADJ
ajst-29868	264	11	important	important	ADJ
ajst-29868	264	12	data	datum	NOUN
ajst-29868	264	13	in	in	ADP
ajst-29868	264	14	the	the	DET
ajst-29868	264	15	future	future	NOUN
ajst-29868	264	16	.	.	PUNCT
ajst-29868	265	1	acknowledgements	acknowledgement	NOUN
ajst-29868	265	2	this	this	DET
ajst-29868	265	3	work	work	NOUN
ajst-29868	265	4	is	be	AUX
ajst-29868	265	5	supported	support	VERB
ajst-29868	265	6	by	by	ADP
ajst-29868	265	7	the	the	DET
ajst-29868	265	8	national	national	ADJ
ajst-29868	265	9	key	key	ADJ
ajst-29868	265	10	research	research	NOUN
ajst-29868	265	11	and	and	CCONJ
ajst-29868	265	12	development	development	NOUN
ajst-29868	265	13	plan	plan	NOUN
ajst-29868	265	14	of	of	ADP
ajst-29868	265	15	china	china	PROPN
ajst-29868	265	16	,	,	PUNCT
ajst-29868	265	17	key	key	ADJ
ajst-29868	265	18	project	project	NOUN
ajst-29868	265	19	of	of	ADP
ajst-29868	265	20	cyberspace	cyberspace	NOUN
ajst-29868	265	21	security	security	NOUN
ajst-29868	265	22	governance	governance	NOUN
ajst-29868	265	23	(	(	PUNCT
ajst-29868	265	24	no.2022yfb3103103	no.2022yfb3103103	NOUN
ajst-29868	265	25	)	)	PUNCT
ajst-29868	265	26	,	,	PUNCT
ajst-29868	265	27	the	the	DET
ajst-29868	265	28	key	key	ADJ
ajst-29868	265	29	research	research	NOUN
ajst-29868	265	30	and	and	CCONJ
ajst-29868	265	31	development	development	NOUN
ajst-29868	265	32	project	project	NOUN
ajst-29868	265	33	of	of	ADP
ajst-29868	265	34	chengdu(no	chengdu(no	PROPN
ajst-29868	265	35	.	.	PUNCT
ajst-29868	266	1	2023xt00	2023xt00	NUM
ajst-29868	266	2	-	-	PUNCT
ajst-29868	266	3	00002	00002	NUM
ajst-29868	266	4	-	-	PUNCT
ajst-29868	266	5	gx	gx	PROPN
ajst-29868	266	6	)	)	PUNCT
ajst-29868	266	7	,	,	PUNCT
ajst-29868	266	8	the	the	DET
ajst-29868	266	9	key	key	ADJ
ajst-29868	266	10	research	research	NOUN
ajst-29868	266	11	and	and	CCONJ
ajst-29868	266	12	development	development	NOUN
ajst-29868	266	13	support	support	NOUN
ajst-29868	266	14	program	program	NOUN
ajst-29868	266	15	project	project	NOUN
ajst-29868	266	16	of	of	ADP
ajst-29868	266	17	chengdu(no.2024	chengdu(no.2024	NOUN
ajst-29868	266	18	-	-	PUNCT
ajst-29868	266	19	yf05	yf05	PROPN
ajst-29868	266	20	-	-	PUNCT
ajst-29868	266	21	01227sn	01227sn	NOUN
ajst-29868	266	22	)	)	PUNCT
ajst-29868	266	23	.	.	PUNCT
ajst-29868	267	1	declarations	declaration	NOUN
ajst-29868	267	2	conflict	conflict	NOUN
ajst-29868	267	3	of	of	ADP
ajst-29868	267	4	interest	interest	NOUN
ajst-29868	267	5	none	none	NOUN
ajst-29868	267	6	of	of	ADP
ajst-29868	267	7	the	the	DET
ajst-29868	267	8	authors	author	NOUN
ajst-29868	267	9	present	present	VERB
ajst-29868	267	10	any	any	DET
ajst-29868	267	11	conflicts	conflict	NOUN
ajst-29868	267	12	of	of	ADP
ajst-29868	267	13	interest	interest	NOUN
ajst-29868	267	14	whatsoever	whatsoever	ADV
ajst-29868	267	15	.	.	PUNCT
ajst-29868	268	1	the	the	DET
ajst-29868	268	2	material	material	NOUN
ajst-29868	268	3	presented	present	VERB
ajst-29868	268	4	in	in	ADP
ajst-29868	268	5	this	this	DET
ajst-29868	268	6	article	article	NOUN
ajst-29868	268	7	is	be	AUX
ajst-29868	268	8	not	not	PART
ajst-29868	268	9	subjected	subject	VERB
ajst-29868	268	10	to	to	ADP
ajst-29868	268	11	any	any	DET
ajst-29868	268	12	copyright	copyright	NOUN
ajst-29868	268	13	of	of	ADP
ajst-29868	268	14	any	any	DET
ajst-29868	268	15	class	class	NOUN
ajst-29868	268	16	or	or	CCONJ
ajst-29868	268	17	nature	nature	NOUN
ajst-29868	268	18	.	.	PUNCT
ajst-29868	269	1	references	reference	NOUN
ajst-29868	269	2	[	[	X
ajst-29868	269	3	1	1	NUM
ajst-29868	269	4	]	]	X
ajst-29868	269	5	wei	wei	PROPN
ajst-29868	269	6	,	,	PUNCT
ajst-29868	269	7	y.	y.	PROPN
ajst-29868	269	8	,	,	PUNCT
ajst-29868	269	9	cheng	cheng	PROPN
ajst-29868	269	10	,	,	PUNCT
ajst-29868	269	11	z.	z.	PROPN
ajst-29868	269	12	,	,	PUNCT
ajst-29868	269	13	zhu	zhu	PROPN
ajst-29868	269	14	,	,	PUNCT
ajst-29868	269	15	b.	b.	PROPN
ajst-29868	269	16	,	,	PUNCT
ajst-29868	269	17	zhai	zhai	PROPN
ajst-29868	269	18	,	,	PUNCT
ajst-29868	269	19	x.	x.	PROPN
ajst-29868	269	20	,	,	PUNCT
ajst-29868	269	21	&	&	CCONJ
ajst-29868	269	22	zhang	zhang	PROPN
ajst-29868	269	23	,	,	PUNCT
ajst-29868	269	24	h.	h.	PROPN
ajst-29868	269	25	.	.	PUNCT
ajst-29868	270	1	(	(	PUNCT
ajst-29868	270	2	2019	2019	NUM
ajst-29868	270	3	)	)	PUNCT
ajst-29868	270	4	.	.	PUNCT
ajst-29868	271	1	infrared	infrared	PROPN
ajst-29868	271	2	and	and	CCONJ
ajst-29868	271	3	radar	radar	NOUN
ajst-29868	271	4	fusion	fusion	NOUN
ajst-29868	271	5	detection	detection	NOUN
ajst-29868	271	6	method	method	NOUN
ajst-29868	271	7	based	base	VERB
ajst-29868	271	8	on	on	ADP
ajst-29868	271	9	heterogeneous	heterogeneous	ADJ
ajst-29868	271	10	data	datum	NOUN
ajst-29868	271	11	preprocessing	preprocessing	NOUN
ajst-29868	271	12	.	.	PUNCT
ajst-29868	272	1	optical	optical	ADJ
ajst-29868	272	2	and	and	CCONJ
ajst-29868	272	3	quantum	quantum	NOUN
ajst-29868	272	4	electronics	electronic	NOUN
ajst-29868	272	5	,	,	PUNCT
ajst-29868	272	6	51(10	51(10	NUM
ajst-29868	272	7	)	)	PUNCT
ajst-29868	272	8	.	.	PUNCT
ajst-29868	273	1	https://doi.org	https://doi.org	ADJ
ajst-29868	273	2	/10.1007	/10.1007	PROPN
ajst-29868	273	3	/	/	SYM
ajst-29868	273	4	s11082	s11082	NOUN
ajst-29868	273	5	-	-	PUNCT
ajst-29868	273	6	0192053	0192053	NUM
ajst-29868	273	7	-	-	PUNCT
ajst-29868	273	8	z	z	NOUN
ajst-29868	274	1	[	[	X
ajst-29868	274	2	2	2	NUM
ajst-29868	274	3	]	]	X
ajst-29868	274	4	zhang	zhang	PROPN
ajst-29868	274	5	,	,	PUNCT
ajst-29868	274	6	p.	p.	PROPN
ajst-29868	274	7	,	,	PUNCT
ajst-29868	274	8	liu	liu	PROPN
ajst-29868	274	9	,	,	PUNCT
ajst-29868	274	10	w.	w.	PROPN
ajst-29868	274	11	,	,	PUNCT
ajst-29868	274	12	lei	lei	PROPN
ajst-29868	274	13	,	,	PUNCT
ajst-29868	274	14	y.	y.	PROPN
ajst-29868	274	15	,	,	PUNCT
ajst-29868	274	16	&	&	CCONJ
ajst-29868	274	17	lu	lu	PROPN
ajst-29868	274	18	,	,	PUNCT
ajst-29868	274	19	h.	h.	PROPN
ajst-29868	274	20	.	.	PUNCT
ajst-29868	275	1	(	(	PUNCT
ajst-29868	275	2	2019	2019	NUM
ajst-29868	275	3	)	)	PUNCT
ajst-29868	275	4	.	.	PUNCT
ajst-29868	276	1	hyperfusion	hyperfusion	NOUN
ajst-29868	276	2	-	-	PUNCT
ajst-29868	276	3	net	net	NOUN
ajst-29868	276	4	:	:	PUNCT
ajst-29868	276	5	hyper	hyper	ADJ
ajst-29868	276	6	-	-	ADJ
ajst-29868	276	7	densely	densely	ADV
ajst-29868	276	8	reflective	reflective	ADJ
ajst-29868	276	9	feature	feature	NOUN
ajst-29868	276	10	fusion	fusion	NOUN
ajst-29868	276	11	for	for	ADP
ajst-29868	276	12	salient	salient	ADJ
ajst-29868	276	13	object	object	NOUN
ajst-29868	276	14	detection	detection	NOUN
ajst-29868	276	15	.	.	PUNCT
ajst-29868	277	1	pattern	pattern	NOUN
ajst-29868	277	2	recognition	recognition	NOUN
ajst-29868	277	3	,	,	PUNCT
ajst-29868	277	4	93(4	93(4	NOUN
ajst-29868	277	5	)	)	PUNCT
ajst-29868	277	6	.	.	PUNCT
ajst-29868	278	1	https://doi.org/	https://doi.org/	VERB
ajst-29868	278	2	10.1016	10.1016	NUM
ajst-29868	278	3	/	/	SYM
ajst-29868	278	4	j.patcog.2019.05.012	j.patcog.2019.05.012	NOUN
ajst-29868	279	1	[	[	X
ajst-29868	279	2	3	3	X
ajst-29868	279	3	]	]	X
ajst-29868	279	4	a	a	PRON
ajst-29868	279	5	,	,	PUNCT
ajst-29868	279	6	f.	f.	PROPN
ajst-29868	279	7	j.	j.	PROPN
ajst-29868	279	8	,	,	PUNCT
ajst-29868	279	9	a	a	PRON
ajst-29868	279	10	,	,	PUNCT
ajst-29868	279	11	x.	x.	PROPN
ajst-29868	279	12	w.	w.	PROPN
ajst-29868	279	13	,	,	PUNCT
ajst-29868	279	14	b	b	PROPN
ajst-29868	279	15	,	,	PUNCT
ajst-29868	279	16	j.	j.	PROPN
ajst-29868	279	17	g.	g.	PROPN
ajst-29868	279	18	,	,	PUNCT
ajst-29868	279	19	a	a	PRON
ajst-29868	279	20	,	,	PUNCT
ajst-29868	279	21	q.	q.	PROPN
ajst-29868	279	22	l.	l.	PROPN
ajst-29868	279	23	,	,	PUNCT
ajst-29868	279	24	c	c	PROPN
ajst-29868	279	25	,	,	PUNCT
ajst-29868	279	26	j.	j.	PROPN
ajst-29868	279	27	z.	z.	PROPN
ajst-29868	279	28	a.	a.	PROPN
ajst-29868	279	29	,	,	PUNCT
ajst-29868	279	30	&	&	CCONJ
ajst-29868	279	31	a	a	PRON
ajst-29868	279	32	,	,	PUNCT
ajst-29868	279	33	h.	h.	PROPN
ajst-29868	279	34	l.	l.	PROPN
ajst-29868	279	35	,	,	PUNCT
ajst-29868	279	36	et	et	PROPN
ajst-29868	279	37	al	al	PROPN
ajst-29868	279	38	.	.	PROPN
ajst-29868	280	1	(	(	PUNCT
ajst-29868	280	2	2020	2020	NUM
ajst-29868	280	3	)	)	PUNCT
ajst-29868	280	4	.	.	PUNCT
ajst-29868	281	1	bi	bi	ADJ
ajst-29868	281	2	-	-	ADJ
ajst-29868	281	3	connect	connect	ADJ
ajst-29868	281	4	net	net	NOUN
ajst-29868	281	5	for	for	ADP
ajst-29868	281	6	salient	salient	ADJ
ajst-29868	281	7	object	object	NOUN
ajst-29868	281	8	detection	detection	NOUN
ajst-29868	281	9	.	.	PUNCT
ajst-29868	282	1	neurocomputing	neurocomputing	NOUN
ajst-29868	282	2	,	,	PUNCT
ajst-29868	282	3	384	384	NUM
ajst-29868	282	4	,	,	PUNCT
ajst-29868	282	5	142	142	NUM
ajst-29868	282	6	-	-	SYM
ajst-29868	282	7	155	155	NUM
ajst-29868	282	8	.	.	PUNCT
ajst-29868	282	9	https://doi.org/	https://doi.org/	PROPN
ajst-29868	282	10	10.1016	10.1016	NUM
ajst-29868	282	11	/	/	SYM
ajst-29868	282	12	j.neucom.2019.12.020	j.neucom.2019.12.020	X
ajst-29868	283	1	[	[	X
ajst-29868	283	2	4	4	NUM
ajst-29868	283	3	]	]	X
ajst-29868	283	4	khaleghi	khaleghi	PROPN
ajst-29868	283	5	,	,	PUNCT
ajst-29868	283	6	b.	b.	PROPN
ajst-29868	283	7	,	,	PUNCT
ajst-29868	283	8	khamis	khamis	PROPN
ajst-29868	283	9	,	,	PUNCT
ajst-29868	283	10	a.	a.	PROPN
ajst-29868	283	11	,	,	PUNCT
ajst-29868	283	12	karray	karray	PROPN
ajst-29868	283	13	,	,	PUNCT
ajst-29868	283	14	f.	f.	PROPN
ajst-29868	283	15	o.	o.	PROPN
ajst-29868	283	16	,	,	PUNCT
ajst-29868	283	17	&	&	CCONJ
ajst-29868	283	18	razavi	razavi	PROPN
ajst-29868	283	19	,	,	PUNCT
ajst-29868	283	20	s.	s.	PROPN
ajst-29868	283	21	n.	n.	PROPN
ajst-29868	283	22	.	.	PUNCT
ajst-29868	284	1	(	(	PUNCT
ajst-29868	284	2	2013	2013	NUM
ajst-29868	284	3	)	)	PUNCT
ajst-29868	284	4	.	.	PUNCT
ajst-29868	285	1	multisensor	multisensor	NOUN
ajst-29868	285	2	data	datum	NOUN
ajst-29868	285	3	fusion	fusion	NOUN
ajst-29868	285	4	:	:	PUNCT
ajst-29868	285	5	a	a	DET
ajst-29868	285	6	review	review	NOUN
ajst-29868	285	7	of	of	ADP
ajst-29868	285	8	the	the	DET
ajst-29868	285	9	state	state	NOUN
ajst-29868	285	10	-	-	PUNCT
ajst-29868	285	11	of	of	ADP
ajst-29868	285	12	-	-	PUNCT
ajst-29868	285	13	the	the	DET
ajst-29868	285	14	-	-	PUNCT
ajst-29868	285	15	art	art	NOUN
ajst-29868	285	16	.	.	PUNCT
ajst-29868	286	1	information	information	NOUN
ajst-29868	286	2	fusion	fusion	NOUN
ajst-29868	286	3	,	,	PUNCT
ajst-29868	286	4	14(1	14(1	NUM
ajst-29868	286	5	)	)	PUNCT
ajst-29868	286	6	,	,	PUNCT
ajst-29868	286	7	28	28	NUM
ajst-29868	286	8	-	-	SYM
ajst-29868	286	9	44	44	NUM
ajst-29868	286	10	.	.	PUNCT
ajst-29868	287	1	https://doi.org/	https://doi.org/	VERB
ajst-29868	287	2	10.1016	10.1016	NUM
ajst-29868	287	3	/	/	SYM
ajst-29868	287	4	j.inffus.2011.08.001	j.inffus.2011.08.001	PROPN
ajst-29868	288	1	[	[	X
ajst-29868	288	2	5	5	NUM
ajst-29868	288	3	]	]	X
ajst-29868	288	4	zheng	zheng	PROPN
ajst-29868	288	5	,	,	PUNCT
ajst-29868	288	6	h.	h.	PROPN
ajst-29868	288	7	,	,	PUNCT
ajst-29868	288	8	cai	cai	PROPN
ajst-29868	288	9	,	,	PUNCT
ajst-29868	288	10	a.	a.	PROPN
ajst-29868	288	11	,	,	PUNCT
ajst-29868	288	12	zhou	zhou	PROPN
ajst-29868	288	13	,	,	PUNCT
ajst-29868	288	14	q.	q.	PROPN
ajst-29868	288	15	,	,	PUNCT
ajst-29868	288	16	xu	xu	PROPN
ajst-29868	288	17	,	,	PUNCT
ajst-29868	288	18	p.	p.	NOUN
ajst-29868	288	19	,	,	PUNCT
ajst-29868	288	20	zhao	zhao	PROPN
ajst-29868	288	21	,	,	PUNCT
ajst-29868	288	22	l.	l.	PROPN
ajst-29868	288	23	,	,	PUNCT
ajst-29868	288	24	&	&	CCONJ
ajst-29868	288	25	li	li	PROPN
ajst-29868	288	26	,	,	PUNCT
ajst-29868	288	27	c.	c.	PROPN
ajst-29868	288	28	,	,	PUNCT
ajst-29868	288	29	et	et	PROPN
ajst-29868	288	30	al	al	PROPN
ajst-29868	288	31	.	.	PUNCT
ajst-29868	289	1	(	(	PUNCT
ajst-29868	289	2	2017	2017	NUM
ajst-29868	289	3	)	)	PUNCT
ajst-29868	289	4	.	.	PUNCT
ajst-29868	290	1	optimal	optimal	ADJ
ajst-29868	290	2	preprocessing	preprocessing	NOUN
ajst-29868	290	3	of	of	ADP
ajst-29868	290	4	serum	serum	NOUN
ajst-29868	290	5	and	and	CCONJ
ajst-29868	290	6	urine	urine	NOUN
ajst-29868	290	7	metabolomic	metabolomic	ADJ
ajst-29868	290	8	data	datum	NOUN
ajst-29868	290	9	fusion	fusion	NOUN
ajst-29868	290	10	for	for	ADP
ajst-29868	290	11	staging	stage	VERB
ajst-29868	290	12	prostate	prostate	NOUN
ajst-29868	290	13	cancer	cancer	NOUN
ajst-29868	290	14	through	through	ADP
ajst-29868	290	15	144	144	NUM
ajst-29868	290	16	design	design	NOUN
ajst-29868	290	17	of	of	ADP
ajst-29868	290	18	experiment	experiment	NOUN
ajst-29868	290	19	.	.	PUNCT
ajst-29868	291	1	analytica	analytica	PROPN
ajst-29868	291	2	chimica	chimica	PROPN
ajst-29868	291	3	acta	acta	PROPN
ajst-29868	291	4	,	,	PUNCT
ajst-29868	291	5	68	68	NUM
ajst-29868	291	6	-	-	SYM
ajst-29868	291	7	75	75	NUM
ajst-29868	291	8	.	.	PUNCT
ajst-29868	291	9	https://doi.org/10.1016/j.aca.2017.09.019	https://doi.org/10.1016/j.aca.2017.09.019	X
ajst-29868	292	1	[	[	X
ajst-29868	292	2	6	6	NUM
ajst-29868	292	3	]	]	PUNCT
ajst-29868	292	4	dolly	dolly	ADV
ajst-29868	292	5	,	,	PUNCT
ajst-29868	292	6	d.	d.	PROPN
ajst-29868	292	7	r.	r.	PROPN
ajst-29868	292	8	j.	j.	PROPN
ajst-29868	292	9	,	,	PUNCT
ajst-29868	292	10	peter	peter	PROPN
ajst-29868	292	11	,	,	PUNCT
ajst-29868	292	12	j.	j.	PROPN
ajst-29868	292	13	d.	d.	PROPN
ajst-29868	292	14	,	,	PUNCT
ajst-29868	292	15	bala	bala	PROPN
ajst-29868	292	16	,	,	PUNCT
ajst-29868	292	17	g.	g.	PROPN
ajst-29868	292	18	j.	j.	PROPN
ajst-29868	292	19	,	,	PUNCT
ajst-29868	292	20	&	&	CCONJ
ajst-29868	292	21	jagannath	jagannath	PROPN
ajst-29868	292	22	,	,	PUNCT
ajst-29868	292	23	d.	d.	PROPN
ajst-29868	292	24	j.	j.	PROPN
ajst-29868	292	25	(	(	PUNCT
ajst-29868	292	26	2020	2020	NUM
ajst-29868	292	27	)	)	PUNCT
ajst-29868	292	28	.	.	PUNCT
ajst-29868	293	1	image	image	NOUN
ajst-29868	293	2	fusion	fusion	NOUN
ajst-29868	293	3	for	for	ADP
ajst-29868	293	4	stabilized	stabilize	VERB
ajst-29868	293	5	medical	medical	ADJ
ajst-29868	293	6	video	video	NOUN
ajst-29868	293	7	sequence	sequence	NOUN
ajst-29868	293	8	using	use	VERB
ajst-29868	293	9	multimodal	multimodal	ADJ
ajst-29868	293	10	parametric	parametric	ADJ
ajst-29868	293	11	registration	registration	NOUN
ajst-29868	293	12	.	.	PUNCT
ajst-29868	294	1	pattern	pattern	NOUN
ajst-29868	294	2	recognition	recognition	NOUN
ajst-29868	294	3	letters	letter	NOUN
ajst-29868	294	4	,	,	PUNCT
ajst-29868	294	5	135	135	NUM
ajst-29868	294	6	.	.	PUNCT
ajst-29868	295	1	https://doi.org/10.1016/j.patrec.2020.04.001	https://doi.org/10.1016/j.patrec.2020.04.001	VERB
ajst-29868	295	2	[	[	X
ajst-29868	295	3	7	7	NUM
ajst-29868	295	4	]	]	X
ajst-29868	295	5	zhang	zhang	PROPN
ajst-29868	295	6	,	,	PUNCT
ajst-29868	295	7	h.	h.	PROPN
ajst-29868	295	8	,	,	PUNCT
ajst-29868	295	9	ananda	ananda	PROPN
ajst-29868	295	10	,	,	PUNCT
ajst-29868	295	11	r.	r.	PROPN
ajst-29868	295	12	,	,	PUNCT
ajst-29868	295	13	fu	fu	PROPN
ajst-29868	295	14	,	,	PUNCT
ajst-29868	295	15	x.	x.	NOUN
ajst-29868	295	16	,	,	PUNCT
ajst-29868	295	17	sun	sun	PROPN
ajst-29868	295	18	,	,	PUNCT
ajst-29868	295	19	z.	z.	PROPN
ajst-29868	295	20	,	,	PUNCT
ajst-29868	295	21	wang	wang	PROPN
ajst-29868	295	22	,	,	PUNCT
ajst-29868	295	23	x.	x.	PROPN
ajst-29868	295	24	,	,	PUNCT
ajst-29868	295	25	&	&	CCONJ
ajst-29868	295	26	chen	chen	PROPN
ajst-29868	295	27	,	,	PUNCT
ajst-29868	295	28	k.	k.	PROPN
ajst-29868	295	29	,	,	PUNCT
ajst-29868	295	30	et	et	PROPN
ajst-29868	295	31	al	al	PROPN
ajst-29868	295	32	.	.	PROPN
ajst-29868	296	1	(	(	PUNCT
ajst-29868	296	2	2023	2023	NUM
ajst-29868	296	3	)	)	PUNCT
ajst-29868	296	4	.	.	PUNCT
ajst-29868	297	1	multi	multi	ADJ
ajst-29868	297	2	-	-	ADJ
ajst-29868	297	3	channel	channel	ADJ
ajst-29868	297	4	sensor	sensor	NOUN
ajst-29868	297	5	network	network	NOUN
ajst-29868	297	6	construction	construction	NOUN
ajst-29868	297	7	,	,	PUNCT
ajst-29868	297	8	data	datum	NOUN
ajst-29868	297	9	fusion	fusion	NOUN
ajst-29868	297	10	and	and	CCONJ
ajst-29868	297	11	challenges	challenge	NOUN
ajst-29868	297	12	for	for	ADP
ajst-29868	297	13	smart	smart	ADJ
ajst-29868	297	14	home	home	NOUN
ajst-29868	297	15	.	.	PUNCT
ajst-29868	298	1	[	[	X
ajst-29868	298	2	8	8	NUM
ajst-29868	298	3	]	]	SYM
ajst-29868	298	4	maimaitijiang	maimaitijiang	PROPN
ajst-29868	298	5	,	,	PUNCT
ajst-29868	298	6	m.	m.	NOUN
ajst-29868	298	7	,	,	PUNCT
ajst-29868	298	8	sagan	sagan	PROPN
ajst-29868	298	9	,	,	PUNCT
ajst-29868	298	10	v.	v.	ADV
ajst-29868	298	11	,	,	PUNCT
ajst-29868	298	12	sidike	sidike	ADJ
ajst-29868	298	13	,	,	PUNCT
ajst-29868	298	14	p.	p.	NOUN
ajst-29868	298	15	,	,	PUNCT
ajst-29868	298	16	hartling	hartling	PROPN
ajst-29868	298	17	,	,	PUNCT
ajst-29868	298	18	s.	s.	PROPN
ajst-29868	298	19	,	,	PUNCT
ajst-29868	298	20	&	&	CCONJ
ajst-29868	298	21	fritschi	fritschi	PROPN
ajst-29868	298	22	,	,	PUNCT
ajst-29868	298	23	f.	f.	PROPN
ajst-29868	298	24	b.	b.	PROPN
ajst-29868	298	25	.	.	PUNCT
ajst-29868	299	1	(	(	PUNCT
ajst-29868	299	2	2019	2019	NUM
ajst-29868	299	3	)	)	PUNCT
ajst-29868	299	4	.	.	PUNCT
ajst-29868	300	1	soybean	soybean	NOUN
ajst-29868	300	2	yield	yield	NOUN
ajst-29868	300	3	prediction	prediction	NOUN
ajst-29868	300	4	from	from	ADP
ajst-29868	300	5	uav	uav	PROPN
ajst-29868	300	6	using	use	VERB
ajst-29868	300	7	multimodal	multimodal	NOUN
ajst-29868	300	8	data	datum	NOUN
ajst-29868	300	9	fusion	fusion	NOUN
ajst-29868	300	10	and	and	CCONJ
ajst-29868	300	11	deep	deep	ADJ
ajst-29868	300	12	learning	learning	NOUN
ajst-29868	300	13	.	.	PUNCT
ajst-29868	301	1	remote	remote	ADJ
ajst-29868	301	2	sensing	sensing	NOUN
ajst-29868	301	3	of	of	ADP
ajst-29868	301	4	environment	environment	NOUN
ajst-29868	301	5	,	,	PUNCT
ajst-29868	301	6	237	237	NUM
ajst-29868	301	7	.	.	PUNCT
ajst-29868	302	1	https://doi.org/10.1016/j.rse.2019.111599	https://doi.org/10.1016/j.rse.2019.111599	PUNCT
ajst-29868	303	1	[	[	X
ajst-29868	303	2	9	9	NUM
ajst-29868	303	3	]	]	X
ajst-29868	303	4	liu	liu	PROPN
ajst-29868	303	5	,	,	PUNCT
ajst-29868	303	6	x.	x.	PROPN
ajst-29868	303	7	,	,	PUNCT
ajst-29868	303	8	liu	liu	PROPN
ajst-29868	303	9	,	,	PUNCT
ajst-29868	303	10	q.	q.	PROPN
ajst-29868	303	11	,	,	PUNCT
ajst-29868	303	12	&	&	CCONJ
ajst-29868	303	13	wang	wang	PROPN
ajst-29868	303	14	,	,	PUNCT
ajst-29868	303	15	y.	y.	PROPN
ajst-29868	303	16	.	.	PUNCT
ajst-29868	304	1	(	(	PUNCT
ajst-29868	304	2	2019	2019	NUM
ajst-29868	304	3	)	)	PUNCT
ajst-29868	304	4	.	.	PUNCT
ajst-29868	305	1	remote	remote	ADJ
ajst-29868	305	2	sensing	sense	VERB
ajst-29868	305	3	image	image	NOUN
ajst-29868	305	4	fusion	fusion	NOUN
ajst-29868	305	5	based	base	VERB
ajst-29868	305	6	on	on	ADP
ajst-29868	305	7	two	two	NUM
ajst-29868	305	8	-	-	PUNCT
ajst-29868	305	9	stream	stream	NOUN
ajst-29868	305	10	fusion	fusion	NOUN
ajst-29868	305	11	network	network	NOUN
ajst-29868	305	12	.	.	PUNCT
ajst-29868	306	1	information	information	NOUN
ajst-29868	306	2	fusion	fusion	NOUN
ajst-29868	306	3	,	,	PUNCT
ajst-29868	306	4	55	55	NUM
ajst-29868	306	5	.	.	PUNCT
ajst-29868	307	1	https://doi.org/10.1016/j.inffus.2019.07.010	https://doi.org/10.1016/j.inffus.2019.07.010	NUM
ajst-29868	308	1	[	[	X
ajst-29868	308	2	10	10	NUM
ajst-29868	308	3	]	]	X
ajst-29868	308	4	rajah	rajah	NOUN
ajst-29868	308	5	,	,	PUNCT
ajst-29868	308	6	p.	p.	NOUN
ajst-29868	308	7	,	,	PUNCT
ajst-29868	308	8	odindi	odindi	ADJ
ajst-29868	308	9	,	,	PUNCT
ajst-29868	308	10	j.	j.	PROPN
ajst-29868	308	11	,	,	PUNCT
ajst-29868	308	12	&	&	CCONJ
ajst-29868	308	13	mutanga	mutanga	PROPN
ajst-29868	308	14	,	,	PUNCT
ajst-29868	308	15	o.	o.	INTJ
ajst-29868	308	16	.	.	PUNCT
ajst-29868	309	1	(	(	PUNCT
ajst-29868	309	2	2018	2018	NUM
ajst-29868	309	3	)	)	PUNCT
ajst-29868	309	4	.	.	PUNCT
ajst-29868	310	1	feature	feature	NOUN
ajst-29868	310	2	level	level	NOUN
ajst-29868	310	3	image	image	NOUN
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ajst-29868	310	6	optical	optical	ADJ
ajst-29868	310	7	imagery	imagery	NOUN
ajst-29868	310	8	and	and	CCONJ
ajst-29868	310	9	synthetic	synthetic	ADJ
ajst-29868	310	10	aperture	aperture	NOUN
ajst-29868	310	11	radar	radar	NOUN
ajst-29868	310	12	(	(	PUNCT
ajst-29868	310	13	sar	sar	PROPN
ajst-29868	310	14	)	)	PUNCT
ajst-29868	310	15	for	for	ADP
ajst-29868	310	16	invasive	invasive	ADJ
ajst-29868	310	17	alien	alien	ADJ
ajst-29868	310	18	plant	plant	NOUN
ajst-29868	310	19	species	species	NOUN
ajst-29868	310	20	detection	detection	NOUN
ajst-29868	310	21	and	and	CCONJ
ajst-29868	310	22	mapping	mapping	NOUN
ajst-29868	310	23	.	.	PUNCT
ajst-29868	311	1	remote	remote	ADJ
ajst-29868	311	2	sensing	sense	VERB
ajst-29868	311	3	applications	application	NOUN
ajst-29868	311	4	society	society	NOUN
ajst-29868	311	5	and	and	CCONJ
ajst-29868	311	6	environment	environment	NOUN
ajst-29868	311	7	,	,	PUNCT
ajst-29868	311	8	10	10	NUM
ajst-29868	311	9	,	,	PUNCT
ajst-29868	311	10	198–208	198–208	NUM
ajst-29868	311	11	.	.	PUNCT
ajst-29868	312	1	[	[	X
ajst-29868	312	2	11	11	NUM
ajst-29868	312	3	]	]	X
ajst-29868	312	4	huang	huang	PROPN
ajst-29868	312	5	,	,	PUNCT
ajst-29868	312	6	m.	m.	NOUN
ajst-29868	312	7	,	,	PUNCT
ajst-29868	312	8	liu	liu	PROPN
ajst-29868	312	9	,	,	PUNCT
ajst-29868	312	10	z.	z.	PROPN
ajst-29868	312	11	,	,	PUNCT
ajst-29868	312	12	&	&	CCONJ
ajst-29868	312	13	tao	tao	PROPN
ajst-29868	312	14	,	,	PUNCT
ajst-29868	312	15	y.	y.	PROPN
ajst-29868	312	16	.	.	PUNCT
ajst-29868	313	1	(	(	PUNCT
ajst-29868	313	2	2019	2019	NUM
ajst-29868	313	3	)	)	PUNCT
ajst-29868	313	4	.	.	PUNCT
ajst-29868	314	1	mechanical	mechanical	ADJ
ajst-29868	314	2	fault	fault	NOUN
ajst-29868	314	3	diagnosis	diagnosis	NOUN
ajst-29868	314	4	and	and	CCONJ
ajst-29868	314	5	prediction	prediction	NOUN
ajst-29868	314	6	in	in	ADP
ajst-29868	314	7	iot	iot	NOUN
ajst-29868	314	8	based	base	VERB
ajst-29868	314	9	on	on	ADP
ajst-29868	314	10	multi	multi	ADJ
ajst-29868	314	11	-	-	ADJ
ajst-29868	314	12	source	source	ADJ
ajst-29868	314	13	sensing	sense	VERB
ajst-29868	314	14	data	datum	NOUN
ajst-29868	314	15	fusion	fusion	NOUN
ajst-29868	314	16	.	.	PUNCT
ajst-29868	315	1	simulation	simulation	NOUN
ajst-29868	315	2	modelling	model	VERB
ajst-29868	315	3	practice	practice	NOUN
ajst-29868	315	4	and	and	CCONJ
ajst-29868	315	5	theory	theory	NOUN
ajst-29868	315	6	,	,	PUNCT
ajst-29868	315	7	102	102	NUM
ajst-29868	315	8	：	：	SYM
ajst-29868	315	9	101981	101981	NUM
ajst-29868	315	10	.	.	PUNCT
ajst-29868	316	1	https://doi.org/10.1016/j.simpat.2019.101981	https://doi.org/10.1016/j.simpat.2019.101981	PROPN
ajst-29868	316	2	[	[	X
ajst-29868	316	3	12	12	NUM
ajst-29868	316	4	]	]	X
ajst-29868	316	5	gong	gong	NOUN
ajst-29868	316	6	,	,	PUNCT
ajst-29868	316	7	x.	x.	NOUN
ajst-29868	316	8	,	,	PUNCT
ajst-29868	316	9	ding	ding	PROPN
ajst-29868	316	10	,	,	PUNCT
ajst-29868	316	11	l.	l.	PROPN
ajst-29868	316	12	,	,	PUNCT
ajst-29868	316	13	du	du	PROPN
ajst-29868	316	14	,	,	PUNCT
ajst-29868	316	15	w.	w.	PROPN
ajst-29868	316	16	,	,	PUNCT
ajst-29868	316	17	&	&	CCONJ
ajst-29868	316	18	wang	wang	PROPN
ajst-29868	316	19	,	,	PUNCT
ajst-29868	316	20	h.	h.	PROPN
ajst-29868	316	21	.	.	PUNCT
ajst-29868	317	1	(	(	PUNCT
ajst-29868	317	2	2017	2017	NUM
ajst-29868	317	3	)	)	PUNCT
ajst-29868	317	4	.	.	PUNCT
ajst-29868	318	1	gear	gear	NOUN
ajst-29868	318	2	fault	fault	NOUN
ajst-29868	318	3	diagnosis	diagnosis	NOUN
ajst-29868	318	4	using	use	VERB
ajst-29868	318	5	dual	dual	ADJ
ajst-29868	318	6	channel	channel	NOUN
ajst-29868	318	7	data	datum	NOUN
ajst-29868	318	8	fusion	fusion	NOUN
ajst-29868	318	9	and	and	CCONJ
ajst-29868	318	10	eemd	eemd	PROPN
ajst-29868	318	11	method	method	PROPN
ajst-29868	318	12	.	.	PUNCT
ajst-29868	319	1	procedia	procedia	PROPN
ajst-29868	319	2	engineering	engineering	PROPN
ajst-29868	319	3	,	,	PUNCT
ajst-29868	319	4	174(complete	174(complete	NUM
ajst-29868	319	5	)	)	PUNCT
ajst-29868	319	6	,	,	PUNCT
ajst-29868	319	7	918	918	NUM
ajst-29868	319	8	-	-	SYM
ajst-29868	319	9	926	926	NUM
ajst-29868	319	10	.	.	PUNCT
ajst-29868	320	1	https://doi.org/10.1016/j.proeng.2017.01.242	https://doi.org/10.1016/j.proeng.2017.01.242	NOUN
ajst-29868	320	2	[	[	SYM
ajst-29868	320	3	13	13	NUM
ajst-29868	320	4	]	]	SYM
ajst-29868	320	5	safizadeh	safizadeh	NOUN
ajst-29868	320	6	,	,	PUNCT
ajst-29868	320	7	m.	m.	NOUN
ajst-29868	320	8	s.	s.	PROPN
ajst-29868	320	9	,	,	PUNCT
ajst-29868	320	10	&	&	CCONJ
ajst-29868	320	11	latifi	latifi	PROPN
ajst-29868	320	12	,	,	PUNCT
ajst-29868	320	13	s.	s.	PROPN
ajst-29868	320	14	k.	k.	PROPN
ajst-29868	320	15	.	.	PUNCT
ajst-29868	321	1	(	(	PUNCT
ajst-29868	321	2	2014	2014	NUM
ajst-29868	321	3	)	)	PUNCT
ajst-29868	321	4	.	.	PUNCT
ajst-29868	322	1	using	use	VERB
ajst-29868	322	2	multi	multi	ADJ
ajst-29868	322	3	-	-	ADJ
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ajst-29868	322	5	data	datum	NOUN
ajst-29868	322	6	fusion	fusion	NOUN
ajst-29868	322	7	for	for	ADP
ajst-29868	322	8	vibration	vibration	NOUN
ajst-29868	322	9	fault	fault	NOUN
ajst-29868	322	10	diagnosis	diagnosis	NOUN
ajst-29868	322	11	of	of	ADP
ajst-29868	322	12	rolling	rolling	ADJ
ajst-29868	322	13	element	element	ADJ
ajst-29868	322	14	bearings	bearing	NOUN
ajst-29868	322	15	by	by	ADP
ajst-29868	322	16	accelerometer	accelerometer	NOUN
ajst-29868	322	17	and	and	CCONJ
ajst-29868	322	18	load	load	NOUN
ajst-29868	322	19	cell	cell	NOUN
ajst-29868	322	20	.	.	PUNCT
ajst-29868	323	1	information	information	NOUN
ajst-29868	323	2	fusion	fusion	NOUN
ajst-29868	323	3	,	,	PUNCT
ajst-29868	323	4	18	18	NUM
ajst-29868	323	5	,	,	PUNCT
ajst-29868	323	6	1	1	NUM
ajst-29868	323	7	-	-	SYM
ajst-29868	323	8	8	8	NUM
ajst-29868	323	9	.	.	PUNCT
ajst-29868	324	1	https://doi.org/10.1016/j.inffus.2013.10.002	https://doi.org/10.1016/j.inffus.2013.10.002	NOUN
ajst-29868	325	1	[	[	X
ajst-29868	325	2	14	14	NUM
ajst-29868	325	3	]	]	X
ajst-29868	325	4	yan	yan	PROPN
ajst-29868	325	5	,	,	PUNCT
ajst-29868	325	6	j.	j.	PROPN
ajst-29868	325	7	,	,	PUNCT
ajst-29868	325	8	hu	hu	PROPN
ajst-29868	325	9	,	,	PUNCT
ajst-29868	325	10	y.	y.	PROPN
ajst-29868	325	11	,	,	PUNCT
ajst-29868	325	12	&	&	CCONJ
ajst-29868	325	13	guo	guo	PROPN
ajst-29868	325	14	,	,	PUNCT
ajst-29868	325	15	c.	c.	PROPN
ajst-29868	325	16	.	.	PUNCT
ajst-29868	326	1	(	(	PUNCT
ajst-29868	326	2	2019	2019	NUM
ajst-29868	326	3	)	)	PUNCT
ajst-29868	326	4	.	.	PUNCT
ajst-29868	327	1	rotor	rotor	NOUN
ajst-29868	327	2	unbalance	unbalance	NOUN
ajst-29868	327	3	fault	fault	NOUN
ajst-29868	327	4	diagnosis	diagnosis	NOUN
ajst-29868	327	5	using	use	VERB
ajst-29868	327	6	dbn	dbn	PROPN
ajst-29868	327	7	based	base	VERB
ajst-29868	327	8	on	on	ADP
ajst-29868	327	9	multi	multi	ADJ
ajst-29868	327	10	-	-	ADJ
ajst-29868	327	11	source	source	ADJ
ajst-29868	327	12	heterogeneous	heterogeneous	ADJ
ajst-29868	327	13	information	information	NOUN
ajst-29868	327	14	fusion	fusion	NOUN
ajst-29868	327	15	.	.	PUNCT
ajst-29868	328	1	procedia	procedia	PROPN
ajst-29868	328	2	manufacturing	manufacturing	NOUN
ajst-29868	328	3	,	,	PUNCT
ajst-29868	328	4	35	35	NUM
ajst-29868	328	5	,	,	PUNCT
ajst-29868	328	6	1184	1184	NUM
ajst-29868	328	7	-	-	SYM
ajst-29868	328	8	1189	1189	NUM
ajst-29868	328	9	.	.	PUNCT
ajst-29868	329	1	https://doi.org/10.1016/j.promfg.2019.06.075	https://doi.org/10.1016/j.promfg.2019.06.075	VERB
ajst-29868	330	1	[	[	X
ajst-29868	330	2	15	15	NUM
ajst-29868	330	3	]	]	X
ajst-29868	330	4	vita	vita	NOUN
ajst-29868	330	5	,	,	PUNCT
ajst-29868	330	6	f.	f.	PROPN
ajst-29868	330	7	d.	d.	PROPN
ajst-29868	330	8	,	,	PUNCT
ajst-29868	330	9	bruneo	bruneo	PROPN
ajst-29868	330	10	,	,	PUNCT
ajst-29868	330	11	d.	d.	PROPN
ajst-29868	330	12	,	,	PUNCT
ajst-29868	330	13	&	&	CCONJ
ajst-29868	330	14	das	das	PROPN
ajst-29868	330	15	,	,	PUNCT
ajst-29868	330	16	s.	s.	PROPN
ajst-29868	330	17	k.	k.	PROPN
ajst-29868	330	18	.	.	PUNCT
ajst-29868	331	1	(	(	PUNCT
ajst-29868	331	2	2020	2020	NUM
ajst-29868	331	3	)	)	PUNCT
ajst-29868	331	4	.	.	PUNCT
ajst-29868	332	1	on	on	ADP
ajst-29868	332	2	the	the	DET
ajst-29868	332	3	use	use	NOUN
ajst-29868	332	4	of	of	ADP
ajst-29868	332	5	a	a	DET
ajst-29868	332	6	full	full	ADJ
ajst-29868	332	7	stack	stack	NOUN
ajst-29868	332	8	hardware	hardware	NOUN
ajst-29868	332	9	/	/	SYM
ajst-29868	332	10	software	software	NOUN
ajst-29868	332	11	infrastructure	infrastructure	NOUN
ajst-29868	332	12	for	for	ADP
ajst-29868	332	13	sensor	sensor	NOUN
ajst-29868	332	14	data	datum	NOUN
ajst-29868	332	15	fusion	fusion	NOUN
ajst-29868	332	16	and	and	CCONJ
ajst-29868	332	17	fault	fault	VERB
ajst-29868	332	18	prediction	prediction	NOUN
ajst-29868	332	19	in	in	ADP
ajst-29868	332	20	industry	industry	NOUN
ajst-29868	332	21	4.0	4.0	NUM
ajst-29868	332	22	.	.	PUNCT
ajst-29868	332	23	pattern	pattern	NOUN
ajst-29868	332	24	recognition	recognition	NOUN
ajst-29868	332	25	letters,138	letters,138	NOUN
ajst-29868	332	26	：	：	PUNCT
ajst-29868	332	27	30	30	NUM
ajst-29868	332	28	-	-	SYM
ajst-29868	332	29	37	37	NUM
ajst-29868	332	30	.	.	PUNCT
ajst-29868	333	1	https://doi.org/10.1016/j.patrec.2020.06.028	https://doi.org/10.1016/j.patrec.2020.06.028	PROPN
ajst-29868	333	2	[	[	X
ajst-29868	333	3	16	16	NUM
ajst-29868	333	4	]	]	X
ajst-29868	333	5	rato	rato	PROPN
ajst-29868	333	6	,	,	PUNCT
ajst-29868	333	7	t.	t.	PROPN
ajst-29868	333	8	j.	j.	PROPN
ajst-29868	333	9	,	,	PUNCT
ajst-29868	333	10	&	&	CCONJ
ajst-29868	333	11	reis	reis	NOUN
ajst-29868	333	12	,	,	PUNCT
ajst-29868	333	13	m.	m.	NOUN
ajst-29868	333	14	s.	s.	PROPN
ajst-29868	333	15	.	.	PUNCT
ajst-29868	334	1	(	(	PUNCT
ajst-29868	334	2	2019	2019	NUM
ajst-29868	334	3	)	)	PUNCT
ajst-29868	334	4	.	.	PUNCT
ajst-29868	335	1	optimal	optimal	ADJ
ajst-29868	335	2	fusion	fusion	NOUN
ajst-29868	335	3	of	of	ADP
ajst-29868	335	4	industrial	industrial	ADJ
ajst-29868	335	5	data	datum	NOUN
ajst-29868	335	6	streams	stream	NOUN
ajst-29868	335	7	with	with	ADP
ajst-29868	335	8	different	different	ADJ
ajst-29868	335	9	granularities	granularity	NOUN
ajst-29868	335	10	.	.	PUNCT
ajst-29868	336	1	computers	computer	NOUN
ajst-29868	336	2	&	&	CCONJ
ajst-29868	336	3	chemical	chemical	PROPN
ajst-29868	336	4	engineering	engineering	PROPN
ajst-29868	336	5	,	,	PUNCT
ajst-29868	336	6	130(nov.2	130(nov.2	NUM
ajst-29868	336	7	)	)	PUNCT
ajst-29868	336	8	,	,	PUNCT
ajst-29868	336	9	106564.1	106564.1	NUM
ajst-29868	336	10	-	-	SYM
ajst-29868	336	11	106564.16	106564.16	NUM
ajst-29868	336	12	.	.	PUNCT
ajst-29868	337	1	https://doi.org/10.1016/j.compchemeng.2019.106564	https://doi.org/10.1016/j.compchemeng.2019.106564	NOUN
ajst-29868	337	2	[	[	X
ajst-29868	337	3	17	17	NUM
ajst-29868	337	4	]	]	X
ajst-29868	337	5	alofi	alofi	ADV
ajst-29868	337	6	,	,	PUNCT
ajst-29868	337	7	a.	a.	NOUN
ajst-29868	337	8	,	,	PUNCT
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ajst-29868	337	10	,	,	PUNCT
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ajst-29868	337	12	,	,	PUNCT
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ajst-29868	337	14	,	,	PUNCT
ajst-29868	337	15	r.	r.	PROPN
ajst-29868	337	16	,	,	PUNCT
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ajst-29868	337	18	,	,	PUNCT
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ajst-29868	337	21	&	&	CCONJ
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ajst-29868	337	23	,	,	PUNCT
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ajst-29868	338	1	(	(	PUNCT
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ajst-29868	338	3	)	)	PUNCT
ajst-29868	338	4	.	.	PUNCT
ajst-29868	339	1	a	a	DET
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ajst-29868	339	4	data	datum	NOUN
ajst-29868	339	5	fusion	fusion	NOUN
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ajst-29868	340	5	applications	application	NOUN
ajst-29868	340	6	,	,	PUNCT
ajst-29868	340	7	167(7	167(7	NUM
ajst-29868	340	8	)	)	PUNCT
ajst-29868	340	9	,	,	PUNCT
ajst-29868	340	10	37	37	NUM
ajst-29868	340	11	-	-	SYM
ajst-29868	340	12	41	41	NUM
ajst-29868	340	13	.	.	PUNCT
ajst-29868	341	1	[	[	X
ajst-29868	341	2	18	18	NUM
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ajst-29868	341	5	,	,	PUNCT
ajst-29868	341	6	h.	h.	PROPN
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ajst-29868	341	8	&	&	CCONJ
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ajst-29868	341	10	,	,	PUNCT
ajst-29868	341	11	j.	j.	PROPN
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ajst-29868	342	1	(	(	PUNCT
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ajst-29868	342	3	)	)	PUNCT
ajst-29868	342	4	.	.	PUNCT
ajst-29868	343	1	hearing	hear	VERB
ajst-29868	343	2	lips	lip	NOUN
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ajst-29868	344	1	nature	nature	NOUN
ajst-29868	344	2	,	,	PUNCT
ajst-29868	344	3	264(5588	264(5588	NUM
ajst-29868	344	4	)	)	PUNCT
ajst-29868	344	5	,	,	PUNCT
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ajst-29868	344	7	-	-	SYM
ajst-29868	344	8	748	748	NUM
ajst-29868	344	9	.	.	PUNCT
ajst-29868	345	1	https://doi.org/10.1038/264746a0	https://doi.org/10.1038/264746a0	X
ajst-29868	345	2	[	[	X
ajst-29868	345	3	19	19	NUM
ajst-29868	345	4	]	]	X
ajst-29868	345	5	dai	dai	PROPN
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ajst-29868	345	10	,	,	PUNCT
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ajst-29868	345	12	,	,	PUNCT
ajst-29868	345	13	cheng	cheng	PROPN
ajst-29868	345	14	,	,	PUNCT
ajst-29868	345	15	j.	j.	PROPN
ajst-29868	345	16	,	,	PUNCT
ajst-29868	345	17	duan	duan	PROPN
ajst-29868	345	18	,	,	PUNCT
ajst-29868	345	19	x.	x.	PROPN
ajst-29868	345	20	,	,	PUNCT
ajst-29868	345	21	&	&	CCONJ
ajst-29868	345	22	wang	wang	PROPN
ajst-29868	345	23	,	,	PUNCT
ajst-29868	345	24	g.	g.	PROPN
ajst-29868	345	25	.	.	PUNCT
ajst-29868	346	1	(	(	PUNCT
ajst-29868	346	2	2023	2023	NUM
ajst-29868	346	3	)	)	PUNCT
ajst-29868	346	4	.	.	PUNCT
ajst-29868	347	1	analysis	analysis	NOUN
ajst-29868	347	2	of	of	ADP
ajst-29868	347	3	multimodal	multimodal	NOUN
ajst-29868	347	4	data	datum	NOUN
ajst-29868	347	5	fusion	fusion	NOUN
ajst-29868	347	6	from	from	ADP
ajst-29868	347	7	an	an	DET
ajst-29868	347	8	information	information	NOUN
ajst-29868	347	9	theory	theory	NOUN
ajst-29868	347	10	perspective	perspective	NOUN
ajst-29868	347	11	.	.	PUNCT
ajst-29868	348	1	information	information	NOUN
ajst-29868	348	2	sciences	sciences	PROPN
ajst-29868	348	3	,	,	PUNCT
ajst-29868	348	4	623	623	NUM
ajst-29868	348	5	,	,	PUNCT
ajst-29868	348	6	164	164	NUM
ajst-29868	348	7	-	-	SYM
ajst-29868	348	8	183	183	NUM
ajst-29868	348	9	.	.	PUNCT
ajst-29868	349	1	https://doi.org/10.1016/j.ins.2022.12.014	https://doi.org/10.1016/j.ins.2022.12.014	PROPN
ajst-29868	350	1	[	[	X
ajst-29868	350	2	20	20	NUM
ajst-29868	350	3	]	]	X
ajst-29868	350	4	song	song	NOUN
ajst-29868	350	5	,	,	PUNCT
ajst-29868	350	6	m.	m.	NOUN
ajst-29868	350	7	,	,	PUNCT
ajst-29868	350	8	sun	sun	PROPN
ajst-29868	350	9	,	,	PUNCT
ajst-29868	350	10	c.	c.	PROPN
ajst-29868	350	11	,	,	PUNCT
ajst-29868	350	12	cai	cai	PROPN
ajst-29868	350	13	,	,	PUNCT
ajst-29868	350	14	d.	d.	PROPN
ajst-29868	350	15	,	,	PUNCT
ajst-29868	350	16	hong	hong	PROPN
ajst-29868	350	17	,	,	PUNCT
ajst-29868	350	18	s.	s.	PROPN
ajst-29868	350	19	,	,	PUNCT
ajst-29868	350	20	&	&	CCONJ
ajst-29868	350	21	li	li	PROPN
ajst-29868	350	22	,	,	PUNCT
ajst-29868	350	23	h.	h.	PROPN
ajst-29868	350	24	.	.	PUNCT
ajst-29868	351	1	(	(	PUNCT
ajst-29868	351	2	2022	2022	NUM
ajst-29868	351	3	)	)	PUNCT
ajst-29868	351	4	.	.	PUNCT
ajst-29868	352	1	classifying	classify	VERB
ajst-29868	352	2	vaguely	vaguely	ADV
ajst-29868	352	3	labeled	label	VERB
ajst-29868	352	4	data	datum	NOUN
ajst-29868	352	5	based	base	VERB
ajst-29868	352	6	on	on	ADP
ajst-29868	352	7	evidential	evidential	ADJ
ajst-29868	352	8	fusion	fusion	NOUN
ajst-29868	352	9	.	.	PUNCT
ajst-29868	353	1	information	information	NOUN
ajst-29868	353	2	sciences	sciences	PROPN
ajst-29868	353	3	:	:	PUNCT
ajst-29868	353	4	an	an	DET
ajst-29868	353	5	international	international	ADJ
ajst-29868	353	6	journal(583-	journal(583-	NOUN
ajst-29868	353	7	)	)	PUNCT
ajst-29868	353	8	,	,	PUNCT
ajst-29868	353	9	583	583	NUM
ajst-29868	353	10	,	,	PUNCT
ajst-29868	353	11	159–173	159–173	NUM
ajst-29868	353	12	.	.	PUNCT
ajst-29868	354	1	https://doi.org/	https://doi.org/	NOUN
ajst-29868	354	2	10.1016	10.1016	NUM
ajst-29868	354	3	/	/	SYM
ajst-29868	354	4	j.ins.2021.11.005	j.ins.2021.11.005	VERB