id	sid	tid	token	lemma	pos
eajbcs-1073	1	1	keywords	keyword	VERB
eajbcs-1073	1	2	multiobjective	multiobjective	ADJ
eajbcs-1073	1	3	decision	decision	NOUN
eajbcs-1073	1	4	-	-	PUNCT
eajbcs-1073	1	5	making	making	NOUN
eajbcs-1073	1	6	;	;	PUNCT
eajbcs-1073	1	7	intuitionistic	intuitionistic	ADJ
eajbcs-1073	1	8	fuzzy	fuzzy	ADJ
eajbcs-1073	1	9	decision	decision	NOUN
eajbcs-1073	1	10	set	set	NOUN
eajbcs-1073	1	11	;	;	PUNCT
eajbcs-1073	1	12	goal	goal	NOUN
eajbcs-1073	1	13	programming	programming	NOUN
eajbcs-1073	1	14	;	;	PUNCT
eajbcs-1073	1	15	interactive	interactive	ADJ
eajbcs-1073	1	16	penalty	penalty	NOUN
eajbcs-1073	1	17	function	function	NOUN
eajbcs-1073	1	18	.	.	PUNCT
eajbcs-1073	2	1	abstract	abstract	ADJ
eajbcs-1073	2	2	many	many	ADJ
eajbcs-1073	2	3	applicable	applicable	ADJ
eajbcs-1073	2	4	problems	problem	NOUN
eajbcs-1073	2	5	have	have	VERB
eajbcs-1073	2	6	multi	multi	NOUN
eajbcs-1073	2	7	-	-	NOUN
eajbcs-1073	2	8	goals	goal	NOUN
eajbcs-1073	2	9	that	that	PRON
eajbcs-1073	2	10	optimize	optimize	VERB
eajbcs-1073	2	11	simultaneously	simultaneously	ADV
eajbcs-1073	2	12	,	,	PUNCT
eajbcs-1073	2	13	and	and	CCONJ
eajbcs-1073	2	14	decision	decision	NOUN
eajbcs-1073	2	15	-	-	PUNCT
eajbcs-1073	2	16	makers	maker	NOUN
eajbcs-1073	2	17	set	set	VERB
eajbcs-1073	2	18	imprecise	imprecise	ADJ
eajbcs-1073	2	19	aspiration	aspiration	NOUN
eajbcs-1073	2	20	levels	level	NOUN
eajbcs-1073	2	21	for	for	ADP
eajbcs-1073	2	22	each	each	DET
eajbcs-1073	2	23	goal	goal	NOUN
eajbcs-1073	2	24	.	.	PUNCT
eajbcs-1073	3	1	although	although	SCONJ
eajbcs-1073	3	2	such	such	ADJ
eajbcs-1073	3	3	types	type	NOUN
eajbcs-1073	3	4	of	of	ADP
eajbcs-1073	3	5	problems	problem	NOUN
eajbcs-1073	3	6	solved	solve	VERB
eajbcs-1073	3	7	by	by	ADP
eajbcs-1073	3	8	fuzzy	fuzzy	ADJ
eajbcs-1073	3	9	optimization	optimization	NOUN
eajbcs-1073	3	10	are	be	AUX
eajbcs-1073	3	11	common	common	ADJ
eajbcs-1073	3	12	in	in	ADP
eajbcs-1073	3	13	the	the	DET
eajbcs-1073	3	14	literature	literature	NOUN
eajbcs-1073	3	15	,	,	PUNCT
eajbcs-1073	3	16	intuitionistic	intuitionistic	ADJ
eajbcs-1073	3	17	fuzzy	fuzzy	ADJ
eajbcs-1073	3	18	optimization	optimization	NOUN
eajbcs-1073	3	19	techniques	technique	NOUN
eajbcs-1073	3	20	are	be	AUX
eajbcs-1073	3	21	more	more	ADV
eajbcs-1073	3	22	efficient	efficient	ADJ
eajbcs-1073	3	23	to	to	PART
eajbcs-1073	3	24	handle	handle	VERB
eajbcs-1073	3	25	than	than	ADP
eajbcs-1073	3	26	fuzzy	fuzzy	ADJ
eajbcs-1073	3	27	and	and	CCONJ
eajbcs-1073	3	28	classical	classical	ADJ
eajbcs-1073	3	29	optimization	optimization	NOUN
eajbcs-1073	3	30	.	.	PUNCT
eajbcs-1073	4	1	this	this	DET
eajbcs-1073	4	2	research	research	NOUN
eajbcs-1073	4	3	study	study	NOUN
eajbcs-1073	4	4	focused	focus	VERB
eajbcs-1073	4	5	on	on	ADP
eajbcs-1073	4	6	establishing	establish	VERB
eajbcs-1073	4	7	a	a	DET
eajbcs-1073	4	8	novel	novel	ADJ
eajbcs-1073	4	9	method	method	NOUN
eajbcs-1073	4	10	by	by	ADP
eajbcs-1073	4	11	combining	combine	VERB
eajbcs-1073	4	12	the	the	DET
eajbcs-1073	4	13	penalty	penalty	NOUN
eajbcs-1073	4	14	function	function	NOUN
eajbcs-1073	4	15	method	method	NOUN
eajbcs-1073	4	16	with	with	ADP
eajbcs-1073	4	17	an	an	DET
eajbcs-1073	4	18	interactive	interactive	ADJ
eajbcs-1073	4	19	goal	goal	NOUN
eajbcs-1073	4	20	programming	programming	NOUN
eajbcs-1073	4	21	methodology	methodology	NOUN
eajbcs-1073	4	22	for	for	ADP
eajbcs-1073	4	23	addressing	address	VERB
eajbcs-1073	4	24	multi	multi	ADJ
eajbcs-1073	4	25	-	-	ADJ
eajbcs-1073	4	26	objective	objective	ADJ
eajbcs-1073	4	27	decision	decision	NOUN
eajbcs-1073	4	28	-	-	PUNCT
eajbcs-1073	4	29	making	make	VERB
eajbcs-1073	4	30	problems	problem	NOUN
eajbcs-1073	4	31	in	in	ADP
eajbcs-1073	4	32	an	an	DET
eajbcs-1073	4	33	intuitionistic	intuitionistic	ADJ
eajbcs-1073	4	34	fuzzy	fuzzy	ADJ
eajbcs-1073	4	35	environment	environment	NOUN
eajbcs-1073	4	36	.	.	PUNCT
eajbcs-1073	5	1	one	one	NUM
eajbcs-1073	5	2	of	of	ADP
eajbcs-1073	5	3	the	the	DET
eajbcs-1073	5	4	challenge	challenge	NOUN
eajbcs-1073	5	5	that	that	PRON
eajbcs-1073	5	6	exists	exist	VERB
eajbcs-1073	5	7	in	in	ADP
eajbcs-1073	5	8	the	the	DET
eajbcs-1073	5	9	literature	literature	NOUN
eajbcs-1073	5	10	of	of	ADP
eajbcs-1073	5	11	the	the	DET
eajbcs-1073	5	12	optimization	optimization	NOUN
eajbcs-1073	5	13	method	method	NOUN
eajbcs-1073	5	14	under	under	ADP
eajbcs-1073	5	15	an	an	DET
eajbcs-1073	5	16	imprecise	imprecise	ADJ
eajbcs-1073	5	17	decision	decision	NOUN
eajbcs-1073	5	18	environment	environment	NOUN
eajbcs-1073	5	19	is	be	AUX
eajbcs-1073	5	20	that	that	SCONJ
eajbcs-1073	5	21	it	it	PRON
eajbcs-1073	5	22	is	be	AUX
eajbcs-1073	5	23	not	not	PART
eajbcs-1073	5	24	guaranteed	guarantee	VERB
eajbcs-1073	5	25	to	to	PART
eajbcs-1073	5	26	generate	generate	VERB
eajbcs-1073	5	27	a	a	DET
eajbcs-1073	5	28	pareto	pareto	VERB
eajbcs-1073	5	29	-	-	PUNCT
eajbcs-1073	5	30	optimal	optimal	ADJ
eajbcs-1073	5	31	solution	solution	NOUN
eajbcs-1073	5	32	for	for	ADP
eajbcs-1073	5	33	the	the	DET
eajbcs-1073	5	34	introduced	introduce	VERB
eajbcs-1073	5	35	problem	problem	NOUN
eajbcs-1073	5	36	.	.	PUNCT
eajbcs-1073	6	1	therefore	therefore	ADV
eajbcs-1073	6	2	,	,	PUNCT
eajbcs-1073	6	3	in	in	ADP
eajbcs-1073	6	4	order	order	NOUN
eajbcs-1073	6	5	to	to	PART
eajbcs-1073	6	6	ensure	ensure	VERB
eajbcs-1073	6	7	the	the	DET
eajbcs-1073	6	8	pareto	pareto	NOUN
eajbcs-1073	6	9	-	-	PUNCT
eajbcs-1073	6	10	optimality	optimality	NOUN
eajbcs-1073	6	11	of	of	ADP
eajbcs-1073	6	12	the	the	DET
eajbcs-1073	6	13	obtained	obtain	VERB
eajbcs-1073	6	14	solution	solution	NOUN
eajbcs-1073	6	15	,	,	PUNCT
eajbcs-1073	6	16	the	the	DET
eajbcs-1073	6	17	suggested	suggest	VERB
eajbcs-1073	6	18	method	method	NOUN
eajbcs-1073	6	19	has	have	AUX
eajbcs-1073	6	20	developed	develop	VERB
eajbcs-1073	6	21	a	a	DET
eajbcs-1073	6	22	new	new	ADJ
eajbcs-1073	6	23	aggregation	aggregation	NOUN
eajbcs-1073	6	24	operator	operator	NOUN
eajbcs-1073	6	25	,	,	PUNCT
eajbcs-1073	6	26	an	an	DET
eajbcs-1073	6	27	appropriate	appropriate	ADJ
eajbcs-1073	6	28	relaxation	relaxation	NOUN
eajbcs-1073	6	29	of	of	ADP
eajbcs-1073	6	30	the	the	DET
eajbcs-1073	6	31	constraint	constraint	NOUN
eajbcs-1073	6	32	set	set	NOUN
eajbcs-1073	6	33	,	,	PUNCT
eajbcs-1073	6	34	and	and	CCONJ
eajbcs-1073	6	35	a	a	DET
eajbcs-1073	6	36	well	well	ADV
eajbcs-1073	6	37	-	-	PUNCT
eajbcs-1073	6	38	structured	structure	VERB
eajbcs-1073	6	39	extended	extended	ADJ
eajbcs-1073	6	40	yager	yager	NOUN
eajbcs-1073	6	41	membership	membership	NOUN
eajbcs-1073	6	42	function	function	NOUN
eajbcs-1073	6	43	.	.	PUNCT
eajbcs-1073	7	1	in	in	ADP
eajbcs-1073	7	2	addition	addition	NOUN
eajbcs-1073	7	3	,	,	PUNCT
eajbcs-1073	7	4	unlike	unlike	ADP
eajbcs-1073	7	5	other	other	ADJ
eajbcs-1073	7	6	methods	method	NOUN
eajbcs-1073	7	7	in	in	ADP
eajbcs-1073	7	8	the	the	DET
eajbcs-1073	7	9	literature	literature	NOUN
eajbcs-1073	7	10	,	,	PUNCT
eajbcs-1073	7	11	the	the	DET
eajbcs-1073	7	12	suggested	suggest	VERB
eajbcs-1073	7	13	method	method	NOUN
eajbcs-1073	7	14	gives	give	VERB
eajbcs-1073	7	15	decision	decision	NOUN
eajbcs-1073	7	16	-	-	PUNCT
eajbcs-1073	7	17	makers	maker	NOUN
eajbcs-1073	7	18	the	the	DET
eajbcs-1073	7	19	option	option	NOUN
eajbcs-1073	7	20	to	to	PART
eajbcs-1073	7	21	penalize	penalize	VERB
eajbcs-1073	7	22	the	the	DET
eajbcs-1073	7	23	most	most	ADV
eajbcs-1073	7	24	unsatisfied	unsatisfied	ADJ
eajbcs-1073	7	25	objective	objective	ADJ
eajbcs-1073	7	26	function	function	NOUN
eajbcs-1073	7	27	at	at	ADP
eajbcs-1073	7	28	a	a	DET
eajbcs-1073	7	29	specific	specific	ADJ
eajbcs-1073	7	30	attained	attain	VERB
eajbcs-1073	7	31	solution	solution	NOUN
eajbcs-1073	7	32	instead	instead	ADV
eajbcs-1073	7	33	of	of	ADP
eajbcs-1073	7	34	starting	start	VERB
eajbcs-1073	7	35	from	from	ADP
eajbcs-1073	7	36	scratch	scratch	NOUN
eajbcs-1073	7	37	and	and	CCONJ
eajbcs-1073	7	38	working	work	VERB
eajbcs-1073	7	39	their	their	PRON
eajbcs-1073	7	40	way	way	NOUN
eajbcs-1073	7	41	through	through	ADP
eajbcs-1073	7	42	the	the	DET
eajbcs-1073	7	43	problem	problem	NOUN
eajbcs-1073	7	44	.	.	PUNCT
eajbcs-1073	8	1	to	to	PART
eajbcs-1073	8	2	illustrate	illustrate	VERB
eajbcs-1073	8	3	the	the	DET
eajbcs-1073	8	4	proposed	propose	VERB
eajbcs-1073	8	5	method	method	NOUN
eajbcs-1073	8	6	,	,	PUNCT
eajbcs-1073	8	7	we	we	PRON
eajbcs-1073	8	8	used	use	VERB
eajbcs-1073	8	9	a	a	DET
eajbcs-1073	8	10	numerical	numerical	ADJ
eajbcs-1073	8	11	example	example	NOUN
eajbcs-1073	8	12	.	.	PUNCT
eajbcs-1073	9	1	many	many	ADJ
eajbcs-1073	9	2	real	real	ADJ
eajbcs-1073	9	3	-	-	PUNCT
eajbcs-1073	9	4	world	world	NOUN
eajbcs-1073	9	5	decision	decision	NOUN
eajbcs-1073	9	6	-	-	PUNCT
eajbcs-1073	9	7	making	make	VERB
eajbcs-1073	9	8	problems	problem	NOUN
eajbcs-1073	9	9	such	such	ADJ
eajbcs-1073	9	10	as	as	ADP
eajbcs-1073	9	11	agricultural	agricultural	ADJ
eajbcs-1073	9	12	cropland	cropland	NOUN
eajbcs-1073	9	13	allocation	allocation	NOUN
eajbcs-1073	9	14	problems	problem	NOUN
eajbcs-1073	9	15	by	by	ADP
eajbcs-1073	9	16	moges	moge	NOUN
eajbcs-1073	9	17	et	et	PROPN
eajbcs-1073	9	18	al	al	PROPN
eajbcs-1073	9	19	.	.	PROPN
eajbcs-1073	9	20	(	(	PUNCT
eajbcs-1073	9	21	2023a	2023a	NUM
eajbcs-1073	9	22	)	)	PUNCT
eajbcs-1073	9	23	;	;	PUNCT
eajbcs-1073	9	24	basumatary	basumatary	ADJ
eajbcs-1073	9	25	and	and	CCONJ
eajbcs-1073	9	26	mitra	mitra	PROPN
eajbcs-1073	9	27	(	(	PUNCT
eajbcs-1073	9	28	2022	2022	NUM
eajbcs-1073	9	29	)	)	PUNCT
eajbcs-1073	9	30	,	,	PUNCT
eajbcs-1073	9	31	transportation	transportation	NOUN
eajbcs-1073	9	32	problems	problem	NOUN
eajbcs-1073	9	33	by	by	ADP
eajbcs-1073	9	34	tadesse	tadesse	ADJ
eajbcs-1073	9	35	et.al	et.al	PROPN
eajbcs-1073	9	36	.	.	PUNCT
eajbcs-1073	10	1	(	(	PUNCT
eajbcs-1073	10	2	2023	2023	NUM
eajbcs-1073	10	3	)	)	PUNCT
eajbcs-1073	10	4	,	,	PUNCT
eajbcs-1073	10	5	water	water	NOUN
eajbcs-1073	10	6	∗	∗	PROPN
eajbcs-1073	10	7	east	east	PROPN
eajbcs-1073	10	8	afr	afr	PROPN
eajbcs-1073	10	9	.	.	PUNCT
eajbcs-1073	11	1	j.	j.	PROPN
eajbcs-1073	11	2	biophys	biophys	PROPN
eajbcs-1073	11	3	.	.	PUNCT
eajbcs-1073	12	1	comput	comput	NOUN
eajbcs-1073	12	2	.	.	PUNCT
eajbcs-1073	13	1	sci	sci	PROPN
eajbcs-1073	13	2	.	.	PUNCT
eajbcs-1073	14	1	(	(	PUNCT
eajbcs-1073	14	2	2024	2024	NUM
eajbcs-1073	14	3	)	)	PUNCT
eajbcs-1073	14	4	,	,	PUNCT
eajbcs-1073	14	5	vol	vol	NOUN
eajbcs-1073	14	6	.	.	PROPN
eajbcs-1073	14	7	5	5	NUM
eajbcs-1073	14	8	,	,	PUNCT
eajbcs-1073	14	9	issue	issue	NOUN
eajbcs-1073	14	10	.	.	PUNCT
eajbcs-1073	15	1	2	2	NUM
eajbcs-1073	15	2	,	,	PUNCT
eajbcs-1073	15	3	41	41	NUM
eajbcs-1073	15	4	-	-	SYM
eajbcs-1073	15	5	57	57	NUM
eajbcs-1073	15	6	|	|	CCONJ
eajbcs-1073	15	7	41	41	NUM
eajbcs-1073	15	8	demmelash	demmelash	NOUN
eajbcs-1073	15	9	mollalign	mollalign	NOUN
eajbcs-1073	15	10	moges1,∗	moges1,∗	NOUN
eajbcs-1073	15	11	,	,	PUNCT
eajbcs-1073	15	12	berhanu	berhanu	NOUN
eajbcs-1073	15	13	guta	guta	ADJ
eajbcs-1073	15	14	wordofa2	wordofa2	PROPN
eajbcs-1073	15	15	,	,	PUNCT
eajbcs-1073	15	16	allen	allen	PROPN
eajbcs-1073	15	17	rangia	rangia	PROPN
eajbcs-1073	15	18	mushi3	mushi3	PROPN
eajbcs-1073	16	1	1department	1department	NUM
eajbcs-1073	16	2	of	of	ADP
eajbcs-1073	16	3	mathematics	mathematic	NOUN
eajbcs-1073	16	4	,	,	PUNCT
eajbcs-1073	16	5	hawassa	hawassa	PROPN
eajbcs-1073	16	6	university	university	NOUN
eajbcs-1073	16	7	,	,	PUNCT
eajbcs-1073	16	8	hawassa	hawassa	PROPN
eajbcs-1073	16	9	,	,	PUNCT
eajbcs-1073	16	10	ethiopia	ethiopia	PROPN
eajbcs-1073	16	11	2department	2department	NUM
eajbcs-1073	16	12	of	of	ADP
eajbcs-1073	16	13	mathematics	mathematics	PROPN
eajbcs-1073	16	14	,	,	PUNCT
eajbcs-1073	16	15	addis	addis	PROPN
eajbcs-1073	16	16	ababa	ababa	PROPN
eajbcs-1073	16	17	university	university	PROPN
eajbcs-1073	16	18	,	,	PUNCT
eajbcs-1073	16	19	addis	addis	PROPN
eajbcs-1073	16	20	ababa	ababa	PROPN
eajbcs-1073	16	21	,	,	PUNCT
eajbcs-1073	16	22	ethiopia	ethiopia	PROPN
eajbcs-1073	16	23	3department	3department	NUM
eajbcs-1073	16	24	of	of	ADP
eajbcs-1073	16	25	mathematics	mathematic	NOUN
eajbcs-1073	16	26	,	,	PUNCT
eajbcs-1073	16	27	university	university	NOUN
eajbcs-1073	16	28	of	of	ADP
eajbcs-1073	16	29	dares	dare	NOUN
eajbcs-1073	16	30	salaam	salaam	PROPN
eajbcs-1073	16	31	,	,	PUNCT
eajbcs-1073	16	32	dares	dare	VERB
eajbcs-1073	16	33	salaam	salaam	PROPN
eajbcs-1073	16	34	,	,	PUNCT
eajbcs-1073	16	35	tanzania	tanzania	PROPN
eajbcs-1073	16	36	penalized	penalize	VERB
eajbcs-1073	16	37	intuitionistic	intuitionistic	ADJ
eajbcs-1073	16	38	fuzzy	fuzzy	ADJ
eajbcs-1073	16	39	goal	goal	NOUN
eajbcs-1073	16	40	programming	programming	NOUN
eajbcs-1073	16	41	method	method	NOUN
eajbcs-1073	16	42	for	for	ADP
eajbcs-1073	16	43	solving	solve	VERB
eajbcs-1073	16	44	multi	multi	ADJ
eajbcs-1073	16	45	-	-	ADJ
eajbcs-1073	16	46	objective	objective	ADJ
eajbcs-1073	16	47	decision	decision	NOUN
eajbcs-1073	16	48	-	-	PUNCT
eajbcs-1073	16	49	making	make	VERB
eajbcs-1073	16	50	problems	problem	NOUN
eajbcs-1073	16	51	1	1	NUM
eajbcs-1073	16	52	.	.	PUNCT
eajbcs-1073	17	1	introduction	introduction	NOUN
eajbcs-1073	17	2	research	research	NOUN
eajbcs-1073	17	3	article	article	NOUN
eajbcs-1073	17	4	corresponding	correspond	VERB
eajbcs-1073	17	5	author	author	NOUN
eajbcs-1073	17	6	email	email	NOUN
eajbcs-1073	17	7	address	address	NOUN
eajbcs-1073	17	8	:	:	PUNCT
eajbcs-1073	17	9	danieldemelashalem@gmail.com	danieldemelashalem@gmail.com	X
eajbcs-1073	17	10	+251913845944	+251913845944	NUM
eajbcs-1073	17	11	https://dx.doi.org/10.4314/eajbcs.v5i2.4s	https://dx.doi.org/10.4314/eajbcs.v5i2.4s	PROPN
eajbcs-1073	17	12	resource	resource	NOUN
eajbcs-1073	17	13	allocation	allocation	NOUN
eajbcs-1073	17	14	problems	problem	NOUN
eajbcs-1073	17	15	by	by	ADP
eajbcs-1073	17	16	sharma	sharma	PROPN
eajbcs-1073	17	17	et.al	et.al	PROPN
eajbcs-1073	17	18	.	.	PUNCT
eajbcs-1073	18	1	(	(	PUNCT
eajbcs-1073	18	2	2007	2007	NUM
eajbcs-1073	18	3	)	)	PUNCT
eajbcs-1073	18	4	,	,	PUNCT
eajbcs-1073	18	5	production	production	NOUN
eajbcs-1073	18	6	planning	planning	NOUN
eajbcs-1073	18	7	decisionmaking	decisionmake	VERB
eajbcs-1073	18	8	problems	problem	NOUN
eajbcs-1073	18	9	by	by	ADP
eajbcs-1073	18	10	khan	khan	PROPN
eajbcs-1073	18	11	et.al	et.al	PROPN
eajbcs-1073	18	12	.	.	PUNCT
eajbcs-1073	19	1	(	(	PUNCT
eajbcs-1073	19	2	2021	2021	NUM
eajbcs-1073	19	3	)	)	PUNCT
eajbcs-1073	19	4	,	,	PUNCT
eajbcs-1073	19	5	etc	etc	X
eajbcs-1073	19	6	are	be	AUX
eajbcs-1073	19	7	defined	define	VERB
eajbcs-1073	19	8	as	as	ADP
eajbcs-1073	19	9	multi	multi	ADJ
eajbcs-1073	19	10	-	-	ADJ
eajbcs-1073	19	11	objective	objective	ADJ
eajbcs-1073	19	12	programming	programming	NOUN
eajbcs-1073	19	13	problems	problem	NOUN
eajbcs-1073	19	14	(	(	PUNCT
eajbcs-1073	19	15	mopps	mopps	NOUN
eajbcs-1073	19	16	)	)	PUNCT
eajbcs-1073	19	17	.	.	PUNCT
eajbcs-1073	20	1	often	often	ADV
eajbcs-1073	20	2	,	,	PUNCT
eajbcs-1073	20	3	the	the	DET
eajbcs-1073	20	4	input	input	NOUN
eajbcs-1073	20	5	data	datum	NOUN
eajbcs-1073	20	6	used	use	VERB
eajbcs-1073	20	7	in	in	ADP
eajbcs-1073	20	8	these	these	DET
eajbcs-1073	20	9	problems	problem	NOUN
eajbcs-1073	20	10	does	do	AUX
eajbcs-1073	20	11	not	not	PART
eajbcs-1073	20	12	have	have	VERB
eajbcs-1073	20	13	exact	exact	ADJ
eajbcs-1073	20	14	numerical	numerical	ADJ
eajbcs-1073	20	15	values	value	NOUN
eajbcs-1073	20	16	because	because	SCONJ
eajbcs-1073	20	17	of	of	ADP
eajbcs-1073	20	18	various	various	ADJ
eajbcs-1073	20	19	uncontrollable	uncontrollable	ADJ
eajbcs-1073	20	20	circumstances	circumstance	NOUN
eajbcs-1073	20	21	.	.	PUNCT
eajbcs-1073	21	1	to	to	PART
eajbcs-1073	21	2	solve	solve	VERB
eajbcs-1073	21	3	such	such	ADJ
eajbcs-1073	21	4	types	type	NOUN
eajbcs-1073	21	5	of	of	ADP
eajbcs-1073	21	6	mopps	mopps	NOUN
eajbcs-1073	21	7	,	,	PUNCT
eajbcs-1073	21	8	the	the	DET
eajbcs-1073	21	9	most	most	ADV
eajbcs-1073	21	10	appropriate	appropriate	ADJ
eajbcs-1073	21	11	and	and	CCONJ
eajbcs-1073	21	12	straightforward	straightforward	ADJ
eajbcs-1073	21	13	techniques	technique	NOUN
eajbcs-1073	21	14	are	be	AUX
eajbcs-1073	21	15	fuzzy	fuzzy	ADJ
eajbcs-1073	21	16	optimization	optimization	NOUN
eajbcs-1073	21	17	methods	method	NOUN
eajbcs-1073	21	18	,	,	PUNCT
eajbcs-1073	21	19	which	which	PRON
eajbcs-1073	21	20	were	be	AUX
eajbcs-1073	21	21	introduced	introduce	VERB
eajbcs-1073	21	22	by	by	ADP
eajbcs-1073	21	23	bellman	bellman	NOUN
eajbcs-1073	21	24	and	and	CCONJ
eajbcs-1073	21	25	zadeh	zadeh	PROPN
eajbcs-1073	21	26	(	(	PUNCT
eajbcs-1073	21	27	1970	1970	NUM
eajbcs-1073	21	28	)	)	PUNCT
eajbcs-1073	21	29	.	.	PUNCT
eajbcs-1073	22	1	many	many	ADJ
eajbcs-1073	22	2	authors	author	NOUN
eajbcs-1073	22	3	(	(	PUNCT
eajbcs-1073	22	4	tadesse	tadesse	NOUN
eajbcs-1073	22	5	et.al	et.al	PROPN
eajbcs-1073	22	6	.	.	PROPN
eajbcs-1073	22	7	,	,	PUNCT
eajbcs-1073	22	8	2023	2023	NUM
eajbcs-1073	22	9	;	;	PUNCT
eajbcs-1073	22	10	jameel	jameel	PROPN
eajbcs-1073	22	11	and	and	CCONJ
eajbcs-1073	22	12	radhi	radhi	PROPN
eajbcs-1073	22	13	,	,	PUNCT
eajbcs-1073	22	14	2014	2014	NUM
eajbcs-1073	22	15	;	;	PUNCT
eajbcs-1073	22	16	kahraman	kahraman	NOUN
eajbcs-1073	22	17	et.al	et.al	PROPN
eajbcs-1073	22	18	.	.	PROPN
eajbcs-1073	22	19	,	,	PUNCT
eajbcs-1073	22	20	2016	2016	NUM
eajbcs-1073	22	21	)	)	PUNCT
eajbcs-1073	22	22	have	have	AUX
eajbcs-1073	22	23	been	be	AUX
eajbcs-1073	22	24	more	more	ADV
eajbcs-1073	22	25	committed	committed	ADJ
eajbcs-1073	22	26	to	to	PART
eajbcs-1073	22	27	apply	apply	VERB
eajbcs-1073	22	28	fuzzy	fuzzy	ADJ
eajbcs-1073	22	29	set	set	VERB
eajbcs-1073	22	30	tools	tool	NOUN
eajbcs-1073	22	31	for	for	ADP
eajbcs-1073	22	32	various	various	ADJ
eajbcs-1073	22	33	application	application	NOUN
eajbcs-1073	22	34	issues	issue	NOUN
eajbcs-1073	22	35	after	after	ADP
eajbcs-1073	22	36	bellman	bellman	NOUN
eajbcs-1073	22	37	and	and	CCONJ
eajbcs-1073	22	38	zadeh	zadeh	PROPN
eajbcs-1073	22	39	(	(	PUNCT
eajbcs-1073	22	40	1970	1970	NUM
eajbcs-1073	22	41	)	)	PUNCT
eajbcs-1073	22	42	provided	provide	VERB
eajbcs-1073	22	43	a	a	DET
eajbcs-1073	22	44	model	model	NOUN
eajbcs-1073	22	45	to	to	PART
eajbcs-1073	22	46	tackle	tackle	VERB
eajbcs-1073	22	47	fuzzy	fuzzy	ADJ
eajbcs-1073	22	48	-	-	PUNCT
eajbcs-1073	22	49	multi	multi	ADJ
eajbcs-1073	22	50	-	-	ADJ
eajbcs-1073	22	51	objective	objective	ADJ
eajbcs-1073	22	52	programming	programming	NOUN
eajbcs-1073	22	53	problems	problem	NOUN
eajbcs-1073	22	54	(	(	PUNCT
eajbcs-1073	22	55	fmopps	fmopp	NOUN
eajbcs-1073	22	56	)	)	PUNCT
eajbcs-1073	22	57	.	.	PUNCT
eajbcs-1073	23	1	the	the	DET
eajbcs-1073	23	2	core	core	ADJ
eajbcs-1073	23	3	idea	idea	NOUN
eajbcs-1073	23	4	behind	behind	ADP
eajbcs-1073	23	5	the	the	DET
eajbcs-1073	23	6	widely	widely	ADV
eajbcs-1073	23	7	used	use	VERB
eajbcs-1073	23	8	approach	approach	NOUN
eajbcs-1073	23	9	for	for	ADP
eajbcs-1073	23	10	solving	solve	VERB
eajbcs-1073	23	11	fmopps	fmopp	NOUN
eajbcs-1073	23	12	in	in	ADP
eajbcs-1073	23	13	the	the	DET
eajbcs-1073	23	14	literature	literature	NOUN
eajbcs-1073	23	15	is	be	AUX
eajbcs-1073	23	16	to	to	PART
eajbcs-1073	23	17	transform	transform	VERB
eajbcs-1073	23	18	the	the	DET
eajbcs-1073	23	19	original	original	ADJ
eajbcs-1073	23	20	fmopps	fmopp	NOUN
eajbcs-1073	23	21	into	into	ADP
eajbcs-1073	23	22	a	a	DET
eajbcs-1073	23	23	crisp	crisp	ADJ
eajbcs-1073	23	24	single	single	ADJ
eajbcs-1073	23	25	-	-	PUNCT
eajbcs-1073	23	26	objective	objective	ADJ
eajbcs-1073	23	27	optimization	optimization	NOUN
eajbcs-1073	23	28	model	model	NOUN
eajbcs-1073	23	29	using	use	VERB
eajbcs-1073	23	30	aggregation	aggregation	NOUN
eajbcs-1073	23	31	operators	operator	NOUN
eajbcs-1073	23	32	and	and	CCONJ
eajbcs-1073	23	33	ranking	ranking	NOUN
eajbcs-1073	23	34	accuracy	accuracy	NOUN
eajbcs-1073	23	35	approaches	approach	NOUN
eajbcs-1073	23	36	,	,	PUNCT
eajbcs-1073	23	37	and	and	CCONJ
eajbcs-1073	23	38	then	then	ADV
eajbcs-1073	23	39	solve	solve	VERB
eajbcs-1073	23	40	it	it	PRON
eajbcs-1073	23	41	using	use	VERB
eajbcs-1073	23	42	classical	classical	ADJ
eajbcs-1073	23	43	methods	method	NOUN
eajbcs-1073	23	44	(	(	PUNCT
eajbcs-1073	23	45	zimmermann	zimmermann	PROPN
eajbcs-1073	23	46	,	,	PUNCT
eajbcs-1073	23	47	2001	2001	NUM
eajbcs-1073	23	48	;	;	PUNCT
eajbcs-1073	23	49	kahra	kahra	NOUN
eajbcs-1073	23	50	-	-	PUNCT
eajbcs-1073	23	51	man	man	NOUN
eajbcs-1073	23	52	et.al	et.al	PROPN
eajbcs-1073	23	53	.	.	PROPN
eajbcs-1073	23	54	,	,	PUNCT
eajbcs-1073	23	55	2016	2016	NUM
eajbcs-1073	23	56	;	;	PUNCT
eajbcs-1073	23	57	bellman	bellman	NOUN
eajbcs-1073	23	58	and	and	CCONJ
eajbcs-1073	23	59	zadeh	zadeh	PROPN
eajbcs-1073	23	60	,	,	PUNCT
eajbcs-1073	23	61	1970	1970	NUM
eajbcs-1073	23	62	)	)	PUNCT
eajbcs-1073	23	63	.	.	PUNCT
eajbcs-1073	24	1	few	few	ADJ
eajbcs-1073	24	2	papers	paper	NOUN
eajbcs-1073	24	3	have	have	AUX
eajbcs-1073	24	4	focused	focus	VERB
eajbcs-1073	24	5	on	on	ADP
eajbcs-1073	24	6	developing	develop	VERB
eajbcs-1073	24	7	new	new	ADJ
eajbcs-1073	24	8	mathematical	mathematical	ADJ
eajbcs-1073	24	9	models	model	NOUN
eajbcs-1073	24	10	for	for	ADP
eajbcs-1073	24	11	identifying	identify	VERB
eajbcs-1073	24	12	fuzzy	fuzzy	ADJ
eajbcs-1073	24	13	non	non	ADJ
eajbcs-1073	24	14	-	-	ADJ
eajbcs-1073	24	15	dominant	dominant	ADJ
eajbcs-1073	24	16	solutions	solution	NOUN
eajbcs-1073	24	17	to	to	PART
eajbcs-1073	24	18	fmopp	fmopp	VERB
eajbcs-1073	24	19	in	in	ADP
eajbcs-1073	24	20	the	the	DET
eajbcs-1073	24	21	fuzzy	fuzzy	ADJ
eajbcs-1073	24	22	optimization	optimization	NOUN
eajbcs-1073	24	23	environment	environment	NOUN
eajbcs-1073	24	24	.	.	PUNCT
eajbcs-1073	25	1	these	these	DET
eajbcs-1073	25	2	new	new	ADJ
eajbcs-1073	25	3	models	model	NOUN
eajbcs-1073	25	4	were	be	AUX
eajbcs-1073	25	5	developed	develop	VERB
eajbcs-1073	25	6	by	by	ADP
eajbcs-1073	25	7	applying	apply	VERB
eajbcs-1073	25	8	different	different	ADJ
eajbcs-1073	25	9	aggregation	aggregation	NOUN
eajbcs-1073	25	10	operators	operator	NOUN
eajbcs-1073	25	11	like	like	ADP
eajbcs-1073	25	12	max	max	PROPN
eajbcs-1073	25	13	-	-	PUNCT
eajbcs-1073	25	14	min	min	NOUN
eajbcs-1073	25	15	operator	operator	NOUN
eajbcs-1073	25	16	by	by	ADP
eajbcs-1073	25	17	bellman	bellman	NOUN
eajbcs-1073	25	18	and	and	CCONJ
eajbcs-1073	25	19	zadeh	zadeh	PROPN
eajbcs-1073	25	20	(	(	PUNCT
eajbcs-1073	25	21	1970	1970	NUM
eajbcs-1073	25	22	)	)	PUNCT
eajbcs-1073	25	23	,	,	PUNCT
eajbcs-1073	25	24	γ	γ	NOUN
eajbcs-1073	25	25	-	-	NOUN
eajbcs-1073	25	26	operator	operator	NOUN
eajbcs-1073	25	27	by	by	ADP
eajbcs-1073	25	28	zimmermann	zimmermann	PROPN
eajbcs-1073	25	29	(	(	PUNCT
eajbcs-1073	25	30	2001	2001	NUM
eajbcs-1073	25	31	)	)	PUNCT
eajbcs-1073	25	32	,	,	PUNCT
eajbcs-1073	25	33	bounded	bound	VERB
eajbcs-1073	25	34	min	min	ADJ
eajbcs-1073	25	35	-	-	ADJ
eajbcs-1073	25	36	sum	sum	NOUN
eajbcs-1073	25	37	operator	operator	NOUN
eajbcs-1073	25	38	by	by	ADP
eajbcs-1073	25	39	cheng	cheng	PROPN
eajbcs-1073	25	40	et.al	et.al	PROPN
eajbcs-1073	25	41	.	.	PUNCT
eajbcs-1073	26	1	(	(	PUNCT
eajbcs-1073	26	2	2013	2013	NUM
eajbcs-1073	26	3	)	)	PUNCT
eajbcs-1073	26	4	,	,	PUNCT
eajbcs-1073	26	5	and	and	CCONJ
eajbcs-1073	26	6	fuzzy	fuzzy	ADJ
eajbcs-1073	26	7	-	-	PUNCT
eajbcs-1073	26	8	and	and	CCONJ
eajbcs-1073	26	9	operator	operator	NOUN
eajbcs-1073	26	10	by	by	ADP
eajbcs-1073	26	11	singh	singh	PROPN
eajbcs-1073	26	12	and	and	CCONJ
eajbcs-1073	26	13	yadav	yadav	PROPN
eajbcs-1073	26	14	(	(	PUNCT
eajbcs-1073	26	15	2015	2015	NUM
eajbcs-1073	26	16	)	)	PUNCT
eajbcs-1073	26	17	to	to	PART
eajbcs-1073	26	18	convert	convert	VERB
eajbcs-1073	26	19	the	the	DET
eajbcs-1073	26	20	multi	multi	ADJ
eajbcs-1073	26	21	-	-	ADJ
eajbcs-1073	26	22	objective	objective	ADJ
eajbcs-1073	26	23	functions	function	NOUN
eajbcs-1073	26	24	into	into	ADP
eajbcs-1073	26	25	singleobjection	singleobjection	NOUN
eajbcs-1073	26	26	functions	function	NOUN
eajbcs-1073	26	27	.	.	PUNCT
eajbcs-1073	27	1	using	use	VERB
eajbcs-1073	27	2	the	the	DET
eajbcs-1073	27	3	newly	newly	ADV
eajbcs-1073	27	4	introduced	introduce	VERB
eajbcs-1073	27	5	concepts	concept	NOUN
eajbcs-1073	27	6	,	,	PUNCT
eajbcs-1073	27	7	numerous	numerous	ADJ
eajbcs-1073	27	8	approaches	approach	NOUN
eajbcs-1073	27	9	and	and	CCONJ
eajbcs-1073	27	10	models	model	NOUN
eajbcs-1073	27	11	have	have	AUX
eajbcs-1073	27	12	been	be	AUX
eajbcs-1073	27	13	developed	develop	VERB
eajbcs-1073	27	14	for	for	ADP
eajbcs-1073	27	15	various	various	ADJ
eajbcs-1073	27	16	theoretical	theoretical	ADJ
eajbcs-1073	27	17	and	and	CCONJ
eajbcs-1073	27	18	scientific	scientific	ADJ
eajbcs-1073	27	19	fields	field	NOUN
eajbcs-1073	27	20	(	(	PUNCT
eajbcs-1073	27	21	bogdana	bogdana	PROPN
eajbcs-1073	27	22	and	and	CCONJ
eajbcs-1073	27	23	milan	milan	PROPN
eajbcs-1073	27	24	,	,	PUNCT
eajbcs-1073	27	25	2009	2009	NUM
eajbcs-1073	27	26	;	;	PUNCT
eajbcs-1073	27	27	kassa	kassa	PROPN
eajbcs-1073	27	28	and	and	CCONJ
eajbcs-1073	27	29	tsegay	tsegay	PROPN
eajbcs-1073	27	30	,	,	PUNCT
eajbcs-1073	27	31	2018	2018	NUM
eajbcs-1073	27	32	;	;	PUNCT
eajbcs-1073	28	1	tadesse	tadesse	ADJ
eajbcs-1073	28	2	et.al	et.al	PROPN
eajbcs-1073	28	3	.	.	PROPN
eajbcs-1073	28	4	,	,	PUNCT
eajbcs-1073	28	5	2023	2023	NUM
eajbcs-1073	28	6	)	)	PUNCT
eajbcs-1073	28	7	.	.	PUNCT
eajbcs-1073	29	1	however	however	ADV
eajbcs-1073	29	2	,	,	PUNCT
eajbcs-1073	29	3	when	when	SCONJ
eajbcs-1073	29	4	uncertainty	uncertainty	NOUN
eajbcs-1073	29	5	results	result	VERB
eajbcs-1073	29	6	from	from	ADP
eajbcs-1073	29	7	vagueness	vagueness	NOUN
eajbcs-1073	29	8	,	,	PUNCT
eajbcs-1073	29	9	inaccurate	inaccurate	ADJ
eajbcs-1073	29	10	data	datum	NOUN
eajbcs-1073	29	11	,	,	PUNCT
eajbcs-1073	29	12	or	or	CCONJ
eajbcs-1073	29	13	intentional	intentional	ADJ
eajbcs-1073	29	14	judgments	judgment	NOUN
eajbcs-1073	29	15	,	,	PUNCT
eajbcs-1073	29	16	the	the	DET
eajbcs-1073	29	17	modeling	modeling	NOUN
eajbcs-1073	29	18	capabilities	capability	NOUN
eajbcs-1073	29	19	of	of	ADP
eajbcs-1073	29	20	fuzzy	fuzzy	ADJ
eajbcs-1073	29	21	set	set	NOUN
eajbcs-1073	29	22	theory	theory	NOUN
eajbcs-1073	29	23	are	be	AUX
eajbcs-1073	29	24	limited	limited	ADJ
eajbcs-1073	29	25	.	.	PUNCT
eajbcs-1073	30	1	decisionmakers	decisionmaker	NOUN
eajbcs-1073	30	2	may	may	AUX
eajbcs-1073	30	3	also	also	ADV
eajbcs-1073	30	4	experience	experience	VERB
eajbcs-1073	30	5	some	some	DET
eajbcs-1073	30	6	hesitancy	hesitancy	NOUN
eajbcs-1073	30	7	as	as	ADP
eajbcs-1073	30	8	a	a	DET
eajbcs-1073	30	9	result	result	NOUN
eajbcs-1073	30	10	of	of	ADP
eajbcs-1073	30	11	imprecise	imprecise	ADJ
eajbcs-1073	30	12	information	information	NOUN
eajbcs-1073	30	13	,	,	PUNCT
eajbcs-1073	30	14	unawareness	unawareness	NOUN
eajbcs-1073	30	15	of	of	ADP
eajbcs-1073	30	16	customers	customer	NOUN
eajbcs-1073	30	17	,	,	PUNCT
eajbcs-1073	30	18	seasonal	seasonal	ADJ
eajbcs-1073	30	19	change	change	NOUN
eajbcs-1073	30	20	,	,	PUNCT
eajbcs-1073	30	21	etc	etc	X
eajbcs-1073	30	22	.	.	X
eajbcs-1073	31	1	these	these	DET
eajbcs-1073	31	2	kinds	kind	NOUN
eajbcs-1073	31	3	of	of	ADP
eajbcs-1073	31	4	factors	factor	NOUN
eajbcs-1073	31	5	are	be	AUX
eajbcs-1073	31	6	critical	critical	ADJ
eajbcs-1073	31	7	to	to	PART
eajbcs-1073	31	8	consider	consider	VERB
eajbcs-1073	31	9	while	while	SCONJ
eajbcs-1073	31	10	building	build	VERB
eajbcs-1073	31	11	realistic	realistic	ADJ
eajbcs-1073	31	12	,	,	PUNCT
eajbcs-1073	31	13	suitable	suitable	ADJ
eajbcs-1073	31	14	models	model	NOUN
eajbcs-1073	31	15	and	and	CCONJ
eajbcs-1073	31	16	solving	solve	VERB
eajbcs-1073	31	17	decision	decision	NOUN
eajbcs-1073	31	18	-	-	PUNCT
eajbcs-1073	31	19	making	make	VERB
eajbcs-1073	31	20	problems	problem	NOUN
eajbcs-1073	31	21	(	(	PUNCT
eajbcs-1073	31	22	singh	singh	PROPN
eajbcs-1073	31	23	and	and	CCONJ
eajbcs-1073	31	24	yadav	yadav	PROPN
eajbcs-1073	31	25	,	,	PUNCT
eajbcs-1073	31	26	2015	2015	NUM
eajbcs-1073	31	27	;	;	PUNCT
eajbcs-1073	31	28	razmi	razmi	NOUN
eajbcs-1073	31	29	et.al	et.al	PROPN
eajbcs-1073	31	30	,	,	PUNCT
eajbcs-1073	31	31	2016	2016	NUM
eajbcs-1073	31	32	;	;	PUNCT
eajbcs-1073	31	33	moges	moge	NOUN
eajbcs-1073	31	34	and	and	CCONJ
eajbcs-1073	31	35	wordofa	wordofa	NOUN
eajbcs-1073	31	36	,	,	PUNCT
eajbcs-1073	31	37	2024	2024	NUM
eajbcs-1073	31	38	;	;	PUNCT
eajbcs-1073	31	39	kumar	kumar	PROPN
eajbcs-1073	31	40	,	,	PUNCT
eajbcs-1073	31	41	2020	2020	NUM
eajbcs-1073	31	42	;	;	PUNCT
eajbcs-1073	31	43	fathy	fathy	PROPN
eajbcs-1073	31	44	et.al	et.al	PROPN
eajbcs-1073	31	45	.	.	PROPN
eajbcs-1073	31	46	,	,	PUNCT
eajbcs-1073	31	47	2023	2023	NUM
eajbcs-1073	31	48	)	)	PUNCT
eajbcs-1073	31	49	.	.	PUNCT
eajbcs-1073	32	1	to	to	PART
eajbcs-1073	32	2	overcome	overcome	VERB
eajbcs-1073	32	3	these	these	DET
eajbcs-1073	32	4	limitations	limitation	NOUN
eajbcs-1073	32	5	,	,	PUNCT
eajbcs-1073	32	6	numerous	numerous	ADJ
eajbcs-1073	32	7	researchers	researcher	NOUN
eajbcs-1073	32	8	suggested	suggest	VERB
eajbcs-1073	32	9	various	various	ADJ
eajbcs-1073	32	10	fuzzy	fuzzy	ADJ
eajbcs-1073	32	11	extensions	extension	NOUN
eajbcs-1073	32	12	that	that	PRON
eajbcs-1073	32	13	expanded	expand	VERB
eajbcs-1073	32	14	the	the	DET
eajbcs-1073	32	15	conventional	conventional	ADJ
eajbcs-1073	32	16	fuzzy	fuzzy	ADJ
eajbcs-1073	32	17	set	set	NOUN
eajbcs-1073	32	18	theory	theory	NOUN
eajbcs-1073	32	19	concepts	concept	NOUN
eajbcs-1073	32	20	.	.	PUNCT
eajbcs-1073	33	1	atanassov	atanassov	PROPN
eajbcs-1073	33	2	(	(	PUNCT
eajbcs-1073	33	3	1986	1986	NUM
eajbcs-1073	33	4	)	)	PUNCT
eajbcs-1073	33	5	developed	develop	VERB
eajbcs-1073	33	6	a	a	DET
eajbcs-1073	33	7	novel	novel	ADJ
eajbcs-1073	33	8	concept	concept	NOUN
eajbcs-1073	33	9	called	call	VERB
eajbcs-1073	33	10	an	an	DET
eajbcs-1073	33	11	intuitionistic	intuitionistic	ADJ
eajbcs-1073	33	12	fuzzy	fuzzy	ADJ
eajbcs-1073	33	13	(	(	PUNCT
eajbcs-1073	33	14	if	if	SCONJ
eajbcs-1073	33	15	)	)	PUNCT
eajbcs-1073	33	16	theory	theory	NOUN
eajbcs-1073	33	17	which	which	PRON
eajbcs-1073	33	18	successfully	successfully	ADV
eajbcs-1073	33	19	addresses	address	VERB
eajbcs-1073	33	20	the	the	DET
eajbcs-1073	33	21	limitation	limitation	NOUN
eajbcs-1073	33	22	of	of	ADP
eajbcs-1073	33	23	fuzzy	fuzzy	ADJ
eajbcs-1073	33	24	theory	theory	NOUN
eajbcs-1073	33	25	.	.	PUNCT
eajbcs-1073	34	1	since	since	SCONJ
eajbcs-1073	34	2	the	the	DET
eajbcs-1073	34	3	if	if	SCONJ
eajbcs-1073	34	4	set	set	NOUN
eajbcs-1073	34	5	can	can	AUX
eajbcs-1073	34	6	offer	offer	VERB
eajbcs-1073	34	7	degrees	degree	NOUN
eajbcs-1073	34	8	of	of	ADP
eajbcs-1073	34	9	acceptance	acceptance	NOUN
eajbcs-1073	34	10	,	,	PUNCT
eajbcs-1073	34	11	hesitancy	hesitancy	NOUN
eajbcs-1073	34	12	,	,	PUNCT
eajbcs-1073	34	13	and	and	CCONJ
eajbcs-1073	34	14	rejection	rejection	NOUN
eajbcs-1073	34	15	,	,	PUNCT
eajbcs-1073	34	16	it	it	PRON
eajbcs-1073	34	17	has	have	AUX
eajbcs-1073	34	18	been	be	AUX
eajbcs-1073	34	19	found	find	VERB
eajbcs-1073	34	20	to	to	PART
eajbcs-1073	34	21	be	be	AUX
eajbcs-1073	34	22	more	more	ADV
eajbcs-1073	34	23	helpful	helpful	ADJ
eajbcs-1073	34	24	for	for	ADP
eajbcs-1073	34	25	handling	handle	VERB
eajbcs-1073	34	26	imprecision	imprecision	NOUN
eajbcs-1073	34	27	in	in	ADP
eajbcs-1073	34	28	optimization	optimization	NOUN
eajbcs-1073	34	29	procedures	procedure	NOUN
eajbcs-1073	34	30	than	than	ADP
eajbcs-1073	34	31	fuzzy	fuzzy	ADJ
eajbcs-1073	34	32	and	and	CCONJ
eajbcs-1073	34	33	crispbased	crispbase	VERB
eajbcs-1073	34	34	models	model	NOUN
eajbcs-1073	34	35	,	,	PUNCT
eajbcs-1073	34	36	(	(	PUNCT
eajbcs-1073	34	37	mollalign	mollalign	PROPN
eajbcs-1073	34	38	et.al	et.al	PROPN
eajbcs-1073	34	39	.	.	PROPN
eajbcs-1073	34	40	,	,	PUNCT
eajbcs-1073	34	41	2022	2022	NUM
eajbcs-1073	34	42	;	;	PUNCT
eajbcs-1073	34	43	sharma	sharma	PROPN
eajbcs-1073	34	44	et.al	et.al	PROPN
eajbcs-1073	34	45	.	.	PROPN
eajbcs-1073	34	46	,	,	PUNCT
eajbcs-1073	34	47	2023	2023	NUM
eajbcs-1073	34	48	)	)	PUNCT
eajbcs-1073	34	49	.	.	PUNCT
eajbcs-1073	35	1	angelov	angelov	NOUN
eajbcs-1073	35	2	(	(	PUNCT
eajbcs-1073	35	3	1995	1995	NUM
eajbcs-1073	35	4	)	)	PUNCT
eajbcs-1073	35	5	proposed	propose	VERB
eajbcs-1073	35	6	a	a	DET
eajbcs-1073	35	7	new	new	ADJ
eajbcs-1073	35	8	model	model	NOUN
eajbcs-1073	35	9	to	to	PART
eajbcs-1073	35	10	determine	determine	VERB
eajbcs-1073	35	11	the	the	DET
eajbcs-1073	35	12	mn1	mn1	NOUN
eajbcs-1073	35	13	pareto	pareto	VERB
eajbcs-1073	35	14	-	-	PUNCT
eajbcs-1073	35	15	optimal	optimal	ADJ
eajbcs-1073	35	16	solution	solution	NOUN
eajbcs-1073	35	17	based	base	VERB
eajbcs-1073	35	18	on	on	ADP
eajbcs-1073	35	19	intuitionistic	intuitionistic	ADJ
eajbcs-1073	35	20	fuzzy	fuzzy	ADJ
eajbcs-1073	35	21	optimization	optimization	NOUN
eajbcs-1073	35	22	(	(	PUNCT
eajbcs-1073	35	23	ifo	ifo	PROPN
eajbcs-1073	35	24	)	)	PUNCT
eajbcs-1073	35	25	which	which	PRON
eajbcs-1073	35	26	is	be	AUX
eajbcs-1073	35	27	a	a	DET
eajbcs-1073	35	28	direct	direct	ADJ
eajbcs-1073	35	29	extension	extension	NOUN
eajbcs-1073	35	30	of	of	ADP
eajbcs-1073	35	31	the	the	DET
eajbcs-1073	35	32	fuzzy	fuzzy	ADJ
eajbcs-1073	35	33	optimization	optimization	NOUN
eajbcs-1073	35	34	technique	technique	NOUN
eajbcs-1073	35	35	put	put	VERB
eajbcs-1073	35	36	out	out	ADP
eajbcs-1073	35	37	by	by	ADP
eajbcs-1073	35	38	bellman	bellman	NOUN
eajbcs-1073	35	39	and	and	CCONJ
eajbcs-1073	35	40	zadeh	zadeh	PROPN
eajbcs-1073	35	41	(	(	PUNCT
eajbcs-1073	35	42	1970	1970	NUM
eajbcs-1073	35	43	)	)	PUNCT
eajbcs-1073	35	44	.	.	PUNCT
eajbcs-1073	36	1	subsequently	subsequently	ADV
eajbcs-1073	36	2	,	,	PUNCT
eajbcs-1073	36	3	numerous	numerous	ADJ
eajbcs-1073	36	4	scholars	scholar	NOUN
eajbcs-1073	36	5	such	such	ADJ
eajbcs-1073	36	6	as	as	ADP
eajbcs-1073	36	7	(	(	PUNCT
eajbcs-1073	36	8	ghosh	ghosh	PROPN
eajbcs-1073	36	9	and	and	CCONJ
eajbcs-1073	36	10	kumar	kumar	PROPN
eajbcs-1073	36	11	,	,	PUNCT
eajbcs-1073	36	12	2014	2014	NUM
eajbcs-1073	36	13	;	;	PUNCT
eajbcs-1073	36	14	moges	moge	NOUN
eajbcs-1073	36	15	et	et	PROPN
eajbcs-1073	36	16	al	al	PROPN
eajbcs-1073	36	17	.	.	PROPN
eajbcs-1073	36	18	,	,	PUNCT
eajbcs-1073	36	19	2023a	2023a	NUM
eajbcs-1073	36	20	;	;	PUNCT
eajbcs-1073	36	21	rukmani	rukmani	NOUN
eajbcs-1073	36	22	and	and	CCONJ
eajbcs-1073	36	23	porchelvi	porchelvi	ADJ
eajbcs-1073	36	24	,	,	PUNCT
eajbcs-1073	36	25	2018a	2018a	NUM
eajbcs-1073	36	26	;	;	PUNCT
eajbcs-1073	36	27	bharati	bharati	NOUN
eajbcs-1073	36	28	and	and	CCONJ
eajbcs-1073	36	29	singh	singh	PROPN
eajbcs-1073	36	30	,	,	PUNCT
eajbcs-1073	36	31	2014	2014	NUM
eajbcs-1073	36	32	;	;	PUNCT
eajbcs-1073	36	33	dey	dey	PROPN
eajbcs-1073	36	34	and	and	CCONJ
eajbcs-1073	36	35	roy	roy	PROPN
eajbcs-1073	36	36	,	,	PUNCT
eajbcs-1073	36	37	2015	2015	NUM
eajbcs-1073	36	38	;	;	PUNCT
eajbcs-1073	36	39	mollalign	mollalign	NOUN
eajbcs-1073	36	40	et.al	et.al	PROPN
eajbcs-1073	36	41	.	.	PROPN
eajbcs-1073	36	42	,	,	PUNCT
eajbcs-1073	36	43	2022	2022	NUM
eajbcs-1073	36	44	;	;	PUNCT
eajbcs-1073	36	45	moges	moge	NOUN
eajbcs-1073	36	46	et.al	et.al	PROPN
eajbcs-1073	36	47	.	.	PROPN
eajbcs-1073	36	48	,	,	PUNCT
eajbcs-1073	36	49	2023b	2023b	NUM
eajbcs-1073	36	50	;	;	PUNCT
eajbcs-1073	36	51	bharati	bharati	PROPN
eajbcs-1073	36	52	et.al	et.al	PROPN
eajbcs-1073	36	53	.	.	PROPN
eajbcs-1073	36	54	,	,	PUNCT
eajbcs-1073	36	55	2014	2014	NUM
eajbcs-1073	36	56	)	)	PUNCT
eajbcs-1073	36	57	have	have	AUX
eajbcs-1073	36	58	been	be	AUX
eajbcs-1073	36	59	proposed	propose	VERB
eajbcs-1073	36	60	different	different	ADJ
eajbcs-1073	36	61	ifo	ifo	ADJ
eajbcs-1073	36	62	methods	method	NOUN
eajbcs-1073	36	63	to	to	PART
eajbcs-1073	36	64	solve	solve	VERB
eajbcs-1073	36	65	the	the	DET
eajbcs-1073	36	66	domain	domain	NOUN
eajbcs-1073	36	67	of	of	ADP
eajbcs-1073	36	68	mopps	mopps	NOUN
eajbcs-1073	36	69	utilizing	utilize	VERB
eajbcs-1073	36	70	the	the	DET
eajbcs-1073	36	71	benefit	benefit	NOUN
eajbcs-1073	36	72	of	of	ADP
eajbcs-1073	36	73	ifs	ifs	PROPN
eajbcs-1073	36	74	tools	tool	NOUN
eajbcs-1073	36	75	.	.	PUNCT
eajbcs-1073	37	1	yager	yager	NOUN
eajbcs-1073	37	2	(	(	PUNCT
eajbcs-1073	37	3	2009	2009	NUM
eajbcs-1073	37	4	)	)	PUNCT
eajbcs-1073	37	5	highlighted	highlight	VERB
eajbcs-1073	37	6	certain	certain	ADJ
eajbcs-1073	37	7	drawbacks	drawback	NOUN
eajbcs-1073	37	8	of	of	ADP
eajbcs-1073	37	9	angelov	angelov	NOUN
eajbcs-1073	37	10	(	(	PUNCT
eajbcs-1073	37	11	1995	1995	NUM
eajbcs-1073	37	12	)	)	PUNCT
eajbcs-1073	37	13	’s	’s	PART
eajbcs-1073	37	14	method	method	NOUN
eajbcs-1073	37	15	for	for	ADP
eajbcs-1073	37	16	determining	determine	VERB
eajbcs-1073	37	17	the	the	DET
eajbcs-1073	37	18	optimal	optimal	ADJ
eajbcs-1073	37	19	choice	choice	NOUN
eajbcs-1073	37	20	for	for	ADP
eajbcs-1073	37	21	decisionmakers	decisionmaker	NOUN
eajbcs-1073	37	22	.	.	PUNCT
eajbcs-1073	38	1	he	he	PRON
eajbcs-1073	38	2	suggested	suggest	VERB
eajbcs-1073	38	3	a	a	DET
eajbcs-1073	38	4	new	new	ADJ
eajbcs-1073	38	5	approach	approach	NOUN
eajbcs-1073	38	6	by	by	ADP
eajbcs-1073	38	7	con1mn	con1mn	PROPN
eajbcs-1073	38	8	represent	represent	VERB
eajbcs-1073	38	9	membership	membership	NOUN
eajbcs-1073	38	10	-	-	PUNCT
eajbcs-1073	38	11	nonmembership	nonmembership	NOUN
eajbcs-1073	38	12	east	east	PROPN
eajbcs-1073	38	13	afr	afr	PROPN
eajbcs-1073	38	14	.	.	PUNCT
eajbcs-1073	39	1	j.	j.	PROPN
eajbcs-1073	39	2	biophys	biophys	PROPN
eajbcs-1073	39	3	.	.	PUNCT
eajbcs-1073	40	1	comput	comput	NOUN
eajbcs-1073	40	2	.	.	PUNCT
eajbcs-1073	41	1	sci	sci	PROPN
eajbcs-1073	41	2	.	.	PUNCT
eajbcs-1073	42	1	(	(	PUNCT
eajbcs-1073	42	2	2024	2024	NUM
eajbcs-1073	42	3	)	)	PUNCT
eajbcs-1073	42	4	,	,	PUNCT
eajbcs-1073	42	5	vol	vol	NOUN
eajbcs-1073	42	6	.	.	PROPN
eajbcs-1073	42	7	5	5	NUM
eajbcs-1073	42	8	,	,	PUNCT
eajbcs-1073	42	9	no	no	INTJ
eajbcs-1073	42	10	.	.	NOUN
eajbcs-1073	42	11	2	2	NUM
eajbcs-1073	42	12	,	,	PUNCT
eajbcs-1073	42	13	41	41	NUM
eajbcs-1073	42	14	-	-	SYM
eajbcs-1073	42	15	57	57	NUM
eajbcs-1073	42	16	42	42	NUM
eajbcs-1073	42	17	verting	verte	VERB
eajbcs-1073	42	18	the	the	DET
eajbcs-1073	42	19	intuitionistic	intuitionistic	ADJ
eajbcs-1073	42	20	fuzzy	fuzzy	ADJ
eajbcs-1073	42	21	decision	decision	NOUN
eajbcs-1073	42	22	environment	environment	NOUN
eajbcs-1073	42	23	(	(	PUNCT
eajbcs-1073	42	24	ifde	ifde	NOUN
eajbcs-1073	42	25	)	)	PUNCT
eajbcs-1073	42	26	into	into	ADP
eajbcs-1073	42	27	a	a	DET
eajbcs-1073	42	28	fuzzy	fuzzy	ADJ
eajbcs-1073	42	29	decision	decision	NOUN
eajbcs-1073	42	30	environment	environment	NOUN
eajbcs-1073	42	31	using	use	VERB
eajbcs-1073	42	32	a	a	DET
eajbcs-1073	42	33	convex	convex	ADJ
eajbcs-1073	42	34	combination	combination	NOUN
eajbcs-1073	42	35	of	of	ADP
eajbcs-1073	42	36	nonmembership	nonmembership	NOUN
eajbcs-1073	42	37	and	and	CCONJ
eajbcs-1073	42	38	membership	membership	NOUN
eajbcs-1073	42	39	functions	function	NOUN
eajbcs-1073	42	40	.	.	PUNCT
eajbcs-1073	43	1	by	by	ADP
eajbcs-1073	43	2	addressing	address	VERB
eajbcs-1073	43	3	the	the	DET
eajbcs-1073	43	4	shortcomings	shortcoming	NOUN
eajbcs-1073	43	5	of	of	ADP
eajbcs-1073	43	6	the	the	DET
eajbcs-1073	43	7	angelov	angelov	NOUN
eajbcs-1073	43	8	(	(	PUNCT
eajbcs-1073	43	9	1995	1995	NUM
eajbcs-1073	43	10	)	)	PUNCT
eajbcs-1073	43	11	technique	technique	NOUN
eajbcs-1073	43	12	,	,	PUNCT
eajbcs-1073	43	13	dubey	dubey	PROPN
eajbcs-1073	43	14	et.al	et.al	PROPN
eajbcs-1073	43	15	.	.	PUNCT
eajbcs-1073	44	1	(	(	PUNCT
eajbcs-1073	44	2	2012	2012	NUM
eajbcs-1073	44	3	)	)	PUNCT
eajbcs-1073	44	4	applied	apply	VERB
eajbcs-1073	44	5	the	the	DET
eajbcs-1073	44	6	yager	yager	NOUN
eajbcs-1073	44	7	(	(	PUNCT
eajbcs-1073	44	8	2009	2009	NUM
eajbcs-1073	44	9	)	)	PUNCT
eajbcs-1073	44	10	strategy	strategy	NOUN
eajbcs-1073	44	11	to	to	PART
eajbcs-1073	44	12	solve	solve	VERB
eajbcs-1073	44	13	the	the	DET
eajbcs-1073	44	14	mopp	mopp	PROPN
eajbcs-1073	44	15	.	.	PUNCT
eajbcs-1073	45	1	garai	garai	PROPN
eajbcs-1073	45	2	et.al	et.al	PROPN
eajbcs-1073	45	3	.	.	PUNCT
eajbcs-1073	46	1	(	(	PUNCT
eajbcs-1073	46	2	2015	2015	NUM
eajbcs-1073	46	3	)	)	PUNCT
eajbcs-1073	46	4	exposes	expose	VERB
eajbcs-1073	46	5	the	the	DET
eajbcs-1073	46	6	shortcomings	shortcoming	NOUN
eajbcs-1073	46	7	of	of	ADP
eajbcs-1073	46	8	the	the	DET
eajbcs-1073	46	9	dubey	dubey	PROPN
eajbcs-1073	46	10	et.al	et.al	PROPN
eajbcs-1073	46	11	.	.	PUNCT
eajbcs-1073	47	1	(	(	PUNCT
eajbcs-1073	47	2	2012	2012	NUM
eajbcs-1073	47	3	)	)	PUNCT
eajbcs-1073	47	4	method	method	NOUN
eajbcs-1073	47	5	by	by	ADP
eajbcs-1073	47	6	demonstrating	demonstrate	VERB
eajbcs-1073	47	7	how	how	SCONJ
eajbcs-1073	47	8	certain	certain	ADJ
eajbcs-1073	47	9	constraints	constraint	NOUN
eajbcs-1073	47	10	in	in	ADP
eajbcs-1073	47	11	their	their	PRON
eajbcs-1073	47	12	model	model	NOUN
eajbcs-1073	47	13	can	can	AUX
eajbcs-1073	47	14	impede	impede	VERB
eajbcs-1073	47	15	the	the	DET
eajbcs-1073	47	16	pursuit	pursuit	NOUN
eajbcs-1073	47	17	of	of	ADP
eajbcs-1073	47	18	the	the	DET
eajbcs-1073	47	19	optimal	optimal	ADJ
eajbcs-1073	47	20	solution	solution	NOUN
eajbcs-1073	47	21	or	or	CCONJ
eajbcs-1073	47	22	render	render	VERB
eajbcs-1073	47	23	the	the	DET
eajbcs-1073	47	24	model	model	NOUN
eajbcs-1073	47	25	impractical	impractical	ADJ
eajbcs-1073	47	26	.	.	PUNCT
eajbcs-1073	48	1	they	they	PRON
eajbcs-1073	48	2	also	also	ADV
eajbcs-1073	48	3	suggest	suggest	VERB
eajbcs-1073	48	4	a	a	DET
eajbcs-1073	48	5	new	new	ADJ
eajbcs-1073	48	6	function	function	NOUN
eajbcs-1073	48	7	by	by	ADP
eajbcs-1073	48	8	broadening	broaden	VERB
eajbcs-1073	48	9	the	the	DET
eajbcs-1073	48	10	scope	scope	NOUN
eajbcs-1073	48	11	of	of	ADP
eajbcs-1073	48	12	non	non	ADJ
eajbcs-1073	48	13	-	-	ADJ
eajbcs-1073	48	14	membership	membership	ADJ
eajbcs-1073	48	15	and	and	CCONJ
eajbcs-1073	48	16	membership	membership	NOUN
eajbcs-1073	48	17	functions	function	NOUN
eajbcs-1073	48	18	.	.	PUNCT
eajbcs-1073	49	1	as	as	ADP
eajbcs-1073	49	2	with	with	ADP
eajbcs-1073	49	3	fuzzy	fuzzy	ADJ
eajbcs-1073	49	4	optimization	optimization	NOUN
eajbcs-1073	49	5	,	,	PUNCT
eajbcs-1073	49	6	a	a	DET
eajbcs-1073	49	7	problem	problem	NOUN
eajbcs-1073	49	8	in	in	ADP
eajbcs-1073	49	9	the	the	DET
eajbcs-1073	49	10	ifo	ifo	PROPN
eajbcs-1073	49	11	environment	environment	NOUN
eajbcs-1073	49	12	can	can	AUX
eajbcs-1073	49	13	be	be	AUX
eajbcs-1073	49	14	formulated	formulate	VERB
eajbcs-1073	49	15	as	as	ADP
eajbcs-1073	49	16	a	a	DET
eajbcs-1073	49	17	two	two	NUM
eajbcs-1073	49	18	-	-	PUNCT
eajbcs-1073	49	19	step	step	NOUN
eajbcs-1073	49	20	process	process	NOUN
eajbcs-1073	49	21	to	to	PART
eajbcs-1073	49	22	be	be	AUX
eajbcs-1073	49	23	solved	solve	VERB
eajbcs-1073	49	24	.	.	PUNCT
eajbcs-1073	50	1	the	the	DET
eajbcs-1073	50	2	first	first	ADJ
eajbcs-1073	50	3	is	be	AUX
eajbcs-1073	50	4	to	to	PART
eajbcs-1073	50	5	convert	convert	VERB
eajbcs-1073	50	6	a	a	DET
eajbcs-1073	50	7	multi	multi	ADJ
eajbcs-1073	50	8	-	-	ADJ
eajbcs-1073	50	9	objective	objective	ADJ
eajbcs-1073	50	10	function	function	NOUN
eajbcs-1073	50	11	into	into	ADP
eajbcs-1073	50	12	a	a	DET
eajbcs-1073	50	13	crisp	crisp	ADJ
eajbcs-1073	50	14	single	single	ADJ
eajbcs-1073	50	15	-	-	PUNCT
eajbcs-1073	50	16	objective	objective	ADJ
eajbcs-1073	50	17	optimization	optimization	NOUN
eajbcs-1073	50	18	model	model	NOUN
eajbcs-1073	50	19	using	use	VERB
eajbcs-1073	50	20	an	an	DET
eajbcs-1073	50	21	appropriate	appropriate	ADJ
eajbcs-1073	50	22	aggregation	aggregation	NOUN
eajbcs-1073	50	23	operator	operator	NOUN
eajbcs-1073	50	24	,	,	PUNCT
eajbcs-1073	50	25	and	and	CCONJ
eajbcs-1073	50	26	then	then	ADV
eajbcs-1073	50	27	solve	solve	VERB
eajbcs-1073	50	28	this	this	DET
eajbcs-1073	50	29	model	model	NOUN
eajbcs-1073	50	30	using	use	VERB
eajbcs-1073	50	31	suitable	suitable	ADJ
eajbcs-1073	50	32	optimization	optimization	NOUN
eajbcs-1073	50	33	technique	technique	NOUN
eajbcs-1073	50	34	.	.	PUNCT
eajbcs-1073	51	1	the	the	DET
eajbcs-1073	51	2	majority	majority	NOUN
eajbcs-1073	51	3	of	of	ADP
eajbcs-1073	51	4	the	the	DET
eajbcs-1073	51	5	existing	exist	VERB
eajbcs-1073	51	6	ifo	ifo	ADJ
eajbcs-1073	51	7	methods	method	NOUN
eajbcs-1073	51	8	in	in	ADP
eajbcs-1073	51	9	the	the	DET
eajbcs-1073	51	10	literature	literature	NOUN
eajbcs-1073	51	11	for	for	ADP
eajbcs-1073	51	12	resolving	resolve	VERB
eajbcs-1073	51	13	mopp	mopp	PROPN
eajbcs-1073	51	14	are	be	AUX
eajbcs-1073	51	15	based	base	VERB
eajbcs-1073	51	16	on	on	ADP
eajbcs-1073	51	17	the	the	DET
eajbcs-1073	51	18	max	max	PROPN
eajbcs-1073	51	19	-	-	PUNCT
eajbcs-1073	51	20	min	min	NOUN
eajbcs-1073	51	21	operator	operator	NOUN
eajbcs-1073	51	22	,	,	PUNCT
eajbcs-1073	51	23	(	(	PUNCT
eajbcs-1073	51	24	moges	moge	NOUN
eajbcs-1073	51	25	et	et	NOUN
eajbcs-1073	51	26	al	al	PROPN
eajbcs-1073	51	27	.	.	PROPN
eajbcs-1073	51	28	,	,	PUNCT
eajbcs-1073	51	29	2023a	2023a	NUM
eajbcs-1073	51	30	;	;	PUNCT
eajbcs-1073	51	31	dubey	dubey	PROPN
eajbcs-1073	51	32	et.al	et.al	PROPN
eajbcs-1073	51	33	.	.	PROPN
eajbcs-1073	51	34	,	,	PUNCT
eajbcs-1073	51	35	2012	2012	NUM
eajbcs-1073	51	36	;	;	PUNCT
eajbcs-1073	51	37	garai	garai	PROPN
eajbcs-1073	51	38	et.al	et.al	PROPN
eajbcs-1073	51	39	.	.	PROPN
eajbcs-1073	51	40	,	,	PUNCT
eajbcs-1073	51	41	2015	2015	NUM
eajbcs-1073	51	42	)	)	PUNCT
eajbcs-1073	51	43	.	.	PUNCT
eajbcs-1073	52	1	however	however	ADV
eajbcs-1073	52	2	,	,	PUNCT
eajbcs-1073	52	3	the	the	DET
eajbcs-1073	52	4	max	max	PROPN
eajbcs-1073	52	5	-	-	PUNCT
eajbcs-1073	52	6	min	min	NOUN
eajbcs-1073	52	7	operator	operator	NOUN
eajbcs-1073	52	8	is	be	AUX
eajbcs-1073	52	9	not	not	PART
eajbcs-1073	52	10	guaranteed	guarantee	VERB
eajbcs-1073	52	11	to	to	PART
eajbcs-1073	52	12	generate	generate	VERB
eajbcs-1073	52	13	the	the	DET
eajbcs-1073	52	14	pareto	pareto	ADJ
eajbcs-1073	52	15	dominance	dominance	NOUN
eajbcs-1073	52	16	solution	solution	NOUN
eajbcs-1073	52	17	,	,	PUNCT
eajbcs-1073	52	18	and	and	CCONJ
eajbcs-1073	52	19	there	there	PRON
eajbcs-1073	52	20	is	be	VERB
eajbcs-1073	52	21	always	always	ADV
eajbcs-1073	52	22	no	no	DET
eajbcs-1073	52	23	compensation	compensation	NOUN
eajbcs-1073	52	24	for	for	ADP
eajbcs-1073	52	25	the	the	DET
eajbcs-1073	52	26	resulting	result	VERB
eajbcs-1073	52	27	solution	solution	NOUN
eajbcs-1073	52	28	.	.	PUNCT
eajbcs-1073	53	1	the	the	DET
eajbcs-1073	53	2	compensatory	compensatory	NOUN
eajbcs-1073	53	3	of	of	ADP
eajbcs-1073	53	4	the	the	DET
eajbcs-1073	53	5	developed	develop	VERB
eajbcs-1073	53	6	aggregation	aggregation	NOUN
eajbcs-1073	53	7	operator	operator	NOUN
eajbcs-1073	53	8	has	have	VERB
eajbcs-1073	53	9	a	a	DET
eajbcs-1073	53	10	critical	critical	ADJ
eajbcs-1073	53	11	role	role	NOUN
eajbcs-1073	53	12	in	in	ADP
eajbcs-1073	53	13	the	the	DET
eajbcs-1073	53	14	procedure	procedure	NOUN
eajbcs-1073	53	15	of	of	ADP
eajbcs-1073	53	16	solving	solve	VERB
eajbcs-1073	53	17	mopps	mopp	NOUN
eajbcs-1073	53	18	and	and	CCONJ
eajbcs-1073	53	19	it	it	PRON
eajbcs-1073	53	20	affects	affect	VERB
eajbcs-1073	53	21	the	the	DET
eajbcs-1073	53	22	optimality	optimality	NOUN
eajbcs-1073	53	23	of	of	ADP
eajbcs-1073	53	24	the	the	DET
eajbcs-1073	53	25	resulting	result	VERB
eajbcs-1073	53	26	non	non	ADJ
eajbcs-1073	53	27	-	-	ADJ
eajbcs-1073	53	28	dominant	dominant	ADJ
eajbcs-1073	53	29	solution	solution	NOUN
eajbcs-1073	53	30	.	.	PUNCT
eajbcs-1073	54	1	as	as	ADP
eajbcs-1073	54	2	a	a	DET
eajbcs-1073	54	3	result	result	NOUN
eajbcs-1073	54	4	,	,	PUNCT
eajbcs-1073	54	5	the	the	DET
eajbcs-1073	54	6	mn	mn	PROPN
eajbcs-1073	54	7	pareto	pareto	NOUN
eajbcs-1073	54	8	-	-	PUNCT
eajbcs-1073	54	9	solution	solution	NOUN
eajbcs-1073	54	10	might	might	AUX
eajbcs-1073	54	11	not	not	PART
eajbcs-1073	54	12	be	be	AUX
eajbcs-1073	54	13	the	the	DET
eajbcs-1073	54	14	result	result	NOUN
eajbcs-1073	54	15	of	of	ADP
eajbcs-1073	54	16	a	a	DET
eajbcs-1073	54	17	model	model	NOUN
eajbcs-1073	54	18	that	that	PRON
eajbcs-1073	54	19	was	be	AUX
eajbcs-1073	54	20	developed	develop	VERB
eajbcs-1073	54	21	using	use	VERB
eajbcs-1073	54	22	the	the	DET
eajbcs-1073	54	23	max	max	PROPN
eajbcs-1073	54	24	-	-	PUNCT
eajbcs-1073	54	25	min	min	NOUN
eajbcs-1073	54	26	operator	operator	NOUN
eajbcs-1073	54	27	approach	approach	NOUN
eajbcs-1073	54	28	.	.	PUNCT
eajbcs-1073	55	1	the	the	DET
eajbcs-1073	55	2	second	second	ADJ
eajbcs-1073	55	3	limitation	limitation	NOUN
eajbcs-1073	55	4	is	be	AUX
eajbcs-1073	55	5	that	that	SCONJ
eajbcs-1073	55	6	even	even	ADV
eajbcs-1073	55	7	if	if	SCONJ
eajbcs-1073	55	8	the	the	DET
eajbcs-1073	55	9	ifo	ifo	NOUN
eajbcs-1073	55	10	method	method	NOUN
eajbcs-1073	55	11	generates	generate	VERB
eajbcs-1073	55	12	a	a	DET
eajbcs-1073	55	13	mn	mn	NOUN
eajbcs-1073	55	14	pareto	pareto	VERB
eajbcs-1073	55	15	-	-	PUNCT
eajbcs-1073	55	16	optimal	optimal	ADJ
eajbcs-1073	55	17	solution	solution	NOUN
eajbcs-1073	55	18	under	under	ADP
eajbcs-1073	55	19	an	an	DET
eajbcs-1073	55	20	ifde	ifde	NOUN
eajbcs-1073	55	21	,	,	PUNCT
eajbcs-1073	55	22	there	there	PRON
eajbcs-1073	55	23	is	be	VERB
eajbcs-1073	55	24	not	not	PART
eajbcs-1073	55	25	always	always	ADV
eajbcs-1073	55	26	a	a	DET
eajbcs-1073	55	27	guarantee	guarantee	NOUN
eajbcs-1073	55	28	of	of	ADP
eajbcs-1073	55	29	a	a	DET
eajbcs-1073	55	30	pareto	pareto	ADJ
eajbcs-1073	55	31	-	-	PUNCT
eajbcs-1073	55	32	optimal	optimal	ADJ
eajbcs-1073	55	33	solution	solution	NOUN
eajbcs-1073	55	34	to	to	ADP
eajbcs-1073	55	35	the	the	DET
eajbcs-1073	55	36	given	give	VERB
eajbcs-1073	55	37	mopp	mopp	PROPN
eajbcs-1073	55	38	due	due	ADP
eajbcs-1073	55	39	to	to	ADP
eajbcs-1073	55	40	the	the	DET
eajbcs-1073	55	41	boundary	boundary	ADJ
eajbcs-1073	55	42	problem	problem	NOUN
eajbcs-1073	55	43	.	.	PUNCT
eajbcs-1073	56	1	to	to	PART
eajbcs-1073	56	2	overcome	overcome	VERB
eajbcs-1073	56	3	this	this	DET
eajbcs-1073	56	4	difficulty	difficulty	NOUN
eajbcs-1073	56	5	,	,	PUNCT
eajbcs-1073	56	6	many	many	ADJ
eajbcs-1073	56	7	researchers	researcher	NOUN
eajbcs-1073	56	8	have	have	AUX
eajbcs-1073	56	9	proposed	propose	VERB
eajbcs-1073	56	10	different	different	ADJ
eajbcs-1073	56	11	approaches	approach	NOUN
eajbcs-1073	56	12	to	to	ADP
eajbcs-1073	56	13	fuzzy	fuzzy	ADJ
eajbcs-1073	56	14	decision	decision	NOUN
eajbcs-1073	56	15	-	-	PUNCT
eajbcs-1073	56	16	making	make	VERB
eajbcs-1073	56	17	problems	problem	NOUN
eajbcs-1073	56	18	.	.	PUNCT
eajbcs-1073	57	1	but	but	CCONJ
eajbcs-1073	57	2	the	the	DET
eajbcs-1073	57	3	two	two	NUM
eajbcs-1073	57	4	-	-	PUNCT
eajbcs-1073	57	5	phase	phase	NOUN
eajbcs-1073	57	6	method	method	NOUN
eajbcs-1073	57	7	which	which	PRON
eajbcs-1073	57	8	used	use	VERB
eajbcs-1073	57	9	by	by	ADP
eajbcs-1073	57	10	lu	lu	PROPN
eajbcs-1073	57	11	et.al	et.al	PROPN
eajbcs-1073	57	12	.	.	PUNCT
eajbcs-1073	58	1	(	(	PUNCT
eajbcs-1073	58	2	2015	2015	NUM
eajbcs-1073	58	3	)	)	PUNCT
eajbcs-1073	58	4	;	;	PUNCT
eajbcs-1073	58	5	dubois	dubois	PROPN
eajbcs-1073	58	6	and	and	CCONJ
eajbcs-1073	58	7	fortemps	fortemp	NOUN
eajbcs-1073	58	8	(	(	PUNCT
eajbcs-1073	58	9	1999	1999	NUM
eajbcs-1073	58	10	)	)	PUNCT
eajbcs-1073	58	11	;	;	PUNCT
eajbcs-1073	58	12	wu	wu	PROPN
eajbcs-1073	58	13	and	and	CCONJ
eajbcs-1073	58	14	guu	guu	PROPN
eajbcs-1073	58	15	(	(	PUNCT
eajbcs-1073	58	16	2001	2001	NUM
eajbcs-1073	58	17	)	)	PUNCT
eajbcs-1073	58	18	;	;	PUNCT
eajbcs-1073	58	19	dubey	dubey	PROPN
eajbcs-1073	58	20	et.al	et.al	PROPN
eajbcs-1073	58	21	.	.	PUNCT
eajbcs-1073	59	1	(	(	PUNCT
eajbcs-1073	59	2	2012	2012	NUM
eajbcs-1073	59	3	)	)	PUNCT
eajbcs-1073	59	4	;	;	PUNCT
eajbcs-1073	59	5	tsegaye	tsegaye	VERB
eajbcs-1073	59	6	et.al	et.al	ADJ
eajbcs-1073	59	7	.	.	PUNCT
eajbcs-1073	60	1	(	(	PUNCT
eajbcs-1073	60	2	2021	2021	NUM
eajbcs-1073	60	3	)	)	PUNCT
eajbcs-1073	60	4	;	;	PUNCT
eajbcs-1073	60	5	jiménez	jiménez	PROPN
eajbcs-1073	60	6	and	and	CCONJ
eajbcs-1073	60	7	bilbao	bilbao	PROPN
eajbcs-1073	60	8	(	(	PUNCT
eajbcs-1073	60	9	2009	2009	NUM
eajbcs-1073	60	10	)	)	PUNCT
eajbcs-1073	60	11	is	be	AUX
eajbcs-1073	60	12	the	the	DET
eajbcs-1073	60	13	most	most	ADV
eajbcs-1073	60	14	commonly	commonly	ADV
eajbcs-1073	60	15	applied	apply	VERB
eajbcs-1073	60	16	approach	approach	NOUN
eajbcs-1073	60	17	for	for	ADP
eajbcs-1073	60	18	finding	find	VERB
eajbcs-1073	60	19	a	a	DET
eajbcs-1073	60	20	pareto	pareto	VERB
eajbcs-1073	60	21	-	-	PUNCT
eajbcs-1073	60	22	optimal	optimal	ADJ
eajbcs-1073	60	23	solution	solution	NOUN
eajbcs-1073	60	24	to	to	PART
eajbcs-1073	60	25	mopps	mopps	VERB
eajbcs-1073	60	26	in	in	ADP
eajbcs-1073	60	27	fuzzy	fuzzy	ADJ
eajbcs-1073	60	28	decision	decision	NOUN
eajbcs-1073	60	29	environment	environment	NOUN
eajbcs-1073	60	30	.	.	PUNCT
eajbcs-1073	61	1	a	a	DET
eajbcs-1073	61	2	two	two	NUM
eajbcs-1073	61	3	-	-	PUNCT
eajbcs-1073	61	4	phase	phase	NOUN
eajbcs-1073	61	5	method	method	NOUN
eajbcs-1073	61	6	means	mean	VERB
eajbcs-1073	61	7	that	that	SCONJ
eajbcs-1073	61	8	in	in	ADP
eajbcs-1073	61	9	phase	phase	NOUN
eajbcs-1073	61	10	one	one	NUM
eajbcs-1073	61	11	,	,	PUNCT
eajbcs-1073	61	12	use	use	VERB
eajbcs-1073	61	13	the	the	DET
eajbcs-1073	61	14	max	max	PROPN
eajbcs-1073	61	15	-	-	PUNCT
eajbcs-1073	61	16	min	min	NOUN
eajbcs-1073	61	17	operator	operator	NOUN
eajbcs-1073	61	18	technique	technique	NOUN
eajbcs-1073	61	19	and	and	CCONJ
eajbcs-1073	61	20	then	then	ADV
eajbcs-1073	61	21	use	use	VERB
eajbcs-1073	61	22	the	the	DET
eajbcs-1073	61	23	meanoperator	meanoperator	NOUN
eajbcs-1073	61	24	technique	technique	NOUN
eajbcs-1073	61	25	in	in	ADP
eajbcs-1073	61	26	phase	phase	NOUN
eajbcs-1073	61	27	two	two	NUM
eajbcs-1073	61	28	to	to	PART
eajbcs-1073	61	29	improve	improve	VERB
eajbcs-1073	61	30	the	the	DET
eajbcs-1073	61	31	previous	previous	ADJ
eajbcs-1073	61	32	solution	solution	NOUN
eajbcs-1073	61	33	obtained	obtain	VERB
eajbcs-1073	61	34	by	by	ADP
eajbcs-1073	61	35	the	the	DET
eajbcs-1073	61	36	maxmin	maxmin	NOUN
eajbcs-1073	61	37	operator	operator	NOUN
eajbcs-1073	61	38	approach	approach	NOUN
eajbcs-1073	61	39	.	.	PUNCT
eajbcs-1073	62	1	however	however	ADV
eajbcs-1073	62	2	,	,	PUNCT
eajbcs-1073	62	3	dubois	dubois	PROPN
eajbcs-1073	62	4	and	and	CCONJ
eajbcs-1073	62	5	fortemps	fortemp	NOUN
eajbcs-1073	62	6	(	(	PUNCT
eajbcs-1073	62	7	1999	1999	NUM
eajbcs-1073	62	8	)	)	PUNCT
eajbcs-1073	62	9	indicated	indicate	VERB
eajbcs-1073	62	10	that	that	SCONJ
eajbcs-1073	62	11	this	this	DET
eajbcs-1073	62	12	kind	kind	NOUN
eajbcs-1073	62	13	of	of	ADP
eajbcs-1073	62	14	strategy	strategy	NOUN
eajbcs-1073	62	15	is	be	AUX
eajbcs-1073	62	16	not	not	PART
eajbcs-1073	62	17	entirely	entirely	ADV
eajbcs-1073	62	18	consistent	consistent	ADJ
eajbcs-1073	62	19	because	because	SCONJ
eajbcs-1073	62	20	we	we	PRON
eajbcs-1073	62	21	need	need	VERB
eajbcs-1073	62	22	to	to	PART
eajbcs-1073	62	23	switch	switch	VERB
eajbcs-1073	62	24	from	from	ADP
eajbcs-1073	62	25	the	the	DET
eajbcs-1073	62	26	max	max	PROPN
eajbcs-1073	62	27	-	-	PUNCT
eajbcs-1073	62	28	min	min	NOUN
eajbcs-1073	62	29	operator	operator	NOUN
eajbcs-1073	62	30	to	to	ADP
eajbcs-1073	62	31	the	the	DET
eajbcs-1073	62	32	mean	mean	ADJ
eajbcs-1073	62	33	-	-	PUNCT
eajbcs-1073	62	34	operator	operator	NOUN
eajbcs-1073	62	35	at	at	ADP
eajbcs-1073	62	36	different	different	ADJ
eajbcs-1073	62	37	stages	stage	NOUN
eajbcs-1073	62	38	,	,	PUNCT
eajbcs-1073	62	39	and	and	CCONJ
eajbcs-1073	62	40	they	they	PRON
eajbcs-1073	62	41	suggested	suggest	VERB
eajbcs-1073	62	42	a	a	DET
eajbcs-1073	62	43	multiphasons	multiphason	NOUN
eajbcs-1073	62	44	for	for	ADP
eajbcs-1073	62	45	objective	objective	ADJ
eajbcs-1073	62	46	functions	function	NOUN
eajbcs-1073	62	47	provides	provide	VERB
eajbcs-1073	62	48	upper	upper	ADJ
eajbcs-1073	62	49	and	and	CCONJ
eajbcs-1073	62	50	lower	low	ADJ
eajbcs-1073	62	51	tolerances	tolerance	NOUN
eajbcs-1073	62	52	to	to	PART
eajbcs-1073	62	53	avoid	avoid	VERB
eajbcs-1073	62	54	decision	decision	NOUN
eajbcs-1073	62	55	deadlock	deadlock	NOUN
eajbcs-1073	62	56	.	.	PUNCT
eajbcs-1073	63	1	additionally	additionally	ADV
eajbcs-1073	63	2	,	,	PUNCT
eajbcs-1073	63	3	razmi	razmi	ADV
eajbcs-1073	63	4	et.al	et.al	ADJ
eajbcs-1073	63	5	(	(	PUNCT
eajbcs-1073	63	6	2016	2016	NUM
eajbcs-1073	63	7	)	)	PUNCT
eajbcs-1073	63	8	point	point	VERB
eajbcs-1073	63	9	out	out	ADP
eajbcs-1073	63	10	that	that	SCONJ
eajbcs-1073	63	11	in	in	ADP
eajbcs-1073	63	12	situations	situation	NOUN
eajbcs-1073	63	13	where	where	SCONJ
eajbcs-1073	63	14	a	a	DET
eajbcs-1073	63	15	certain	certain	ADJ
eajbcs-1073	63	16	level	level	NOUN
eajbcs-1073	63	17	of	of	ADP
eajbcs-1073	63	18	satisfaction	satisfaction	NOUN
eajbcs-1073	63	19	is	be	AUX
eajbcs-1073	63	20	fully	fully	ADV
eajbcs-1073	63	21	achieved	achieve	VERB
eajbcs-1073	63	22	,	,	PUNCT
eajbcs-1073	63	23	there	there	PRON
eajbcs-1073	63	24	might	might	AUX
eajbcs-1073	63	25	not	not	PART
eajbcs-1073	63	26	be	be	AUX
eajbcs-1073	63	27	a	a	DET
eajbcs-1073	63	28	guarantee	guarantee	NOUN
eajbcs-1073	63	29	that	that	SCONJ
eajbcs-1073	63	30	a	a	DET
eajbcs-1073	63	31	fuzzy	fuzzy	ADJ
eajbcs-1073	63	32	efficient	efficient	ADJ
eajbcs-1073	63	33	solution	solution	NOUN
eajbcs-1073	63	34	is	be	AUX
eajbcs-1073	63	35	pareto	pareto	ADJ
eajbcs-1073	63	36	-	-	PUNCT
eajbcs-1073	63	37	optimal	optimal	ADJ
eajbcs-1073	63	38	.	.	PUNCT
eajbcs-1073	64	1	in	in	ADP
eajbcs-1073	64	2	order	order	NOUN
eajbcs-1073	64	3	to	to	PART
eajbcs-1073	64	4	generate	generate	VERB
eajbcs-1073	64	5	the	the	DET
eajbcs-1073	64	6	pareto	pareto	VERB
eajbcs-1073	64	7	-	-	PUNCT
eajbcs-1073	64	8	optimal	optimal	ADJ
eajbcs-1073	64	9	solution	solution	NOUN
eajbcs-1073	64	10	,	,	PUNCT
eajbcs-1073	64	11	jiménez	jiménez	PROPN
eajbcs-1073	64	12	and	and	CCONJ
eajbcs-1073	64	13	bilbao	bilbao	PROPN
eajbcs-1073	64	14	(	(	PUNCT
eajbcs-1073	64	15	2009	2009	NUM
eajbcs-1073	64	16	)	)	PUNCT
eajbcs-1073	64	17	;	;	PUNCT
eajbcs-1073	64	18	razmi	razmi	NOUN
eajbcs-1073	64	19	et.al	et.al	ADJ
eajbcs-1073	64	20	(	(	PUNCT
eajbcs-1073	64	21	2016	2016	NUM
eajbcs-1073	64	22	)	)	PUNCT
eajbcs-1073	64	23	extended	extend	VERB
eajbcs-1073	64	24	the	the	DET
eajbcs-1073	64	25	technique	technique	NOUN
eajbcs-1073	64	26	by	by	ADP
eajbcs-1073	64	27	wu	wu	PROPN
eajbcs-1073	64	28	and	and	CCONJ
eajbcs-1073	64	29	guu	guu	PROPN
eajbcs-1073	64	30	(	(	PUNCT
eajbcs-1073	64	31	2001	2001	NUM
eajbcs-1073	64	32	)	)	PUNCT
eajbcs-1073	64	33	and	and	CCONJ
eajbcs-1073	64	34	developed	develop	VERB
eajbcs-1073	64	35	a	a	DET
eajbcs-1073	64	36	generic	generic	ADJ
eajbcs-1073	64	37	strategy	strategy	NOUN
eajbcs-1073	64	38	based	base	VERB
eajbcs-1073	64	39	on	on	ADP
eajbcs-1073	64	40	the	the	DET
eajbcs-1073	64	41	goal	goal	NOUN
eajbcs-1073	64	42	programming	programming	NOUN
eajbcs-1073	64	43	method	method	NOUN
eajbcs-1073	64	44	.	.	PUNCT
eajbcs-1073	65	1	on	on	ADP
eajbcs-1073	65	2	the	the	DET
eajbcs-1073	65	3	other	other	ADJ
eajbcs-1073	65	4	-	-	PUNCT
eajbcs-1073	65	5	hand	hand	NOUN
eajbcs-1073	65	6	,	,	PUNCT
eajbcs-1073	65	7	mollalign	mollalign	NOUN
eajbcs-1073	65	8	et.al	et.al	PROPN
eajbcs-1073	65	9	.	.	PUNCT
eajbcs-1073	66	1	(	(	PUNCT
eajbcs-1073	66	2	2022	2022	NUM
eajbcs-1073	66	3	)	)	PUNCT
eajbcs-1073	66	4	demonstrate	demonstrate	VERB
eajbcs-1073	66	5	that	that	SCONJ
eajbcs-1073	66	6	there	there	PRON
eajbcs-1073	66	7	is	be	VERB
eajbcs-1073	66	8	no	no	DET
eajbcs-1073	66	9	assurance	assurance	NOUN
eajbcs-1073	66	10	that	that	SCONJ
eajbcs-1073	66	11	the	the	DET
eajbcs-1073	66	12	imprecise	imprecise	ADJ
eajbcs-1073	66	13	environment	environment	NOUN
eajbcs-1073	66	14	approach	approach	NOUN
eajbcs-1073	66	15	put	put	VERB
eajbcs-1073	66	16	forward	forward	ADV
eajbcs-1073	66	17	by	by	ADP
eajbcs-1073	66	18	razmi	razmi	NOUN
eajbcs-1073	66	19	et.al	et.al	ADJ
eajbcs-1073	66	20	(	(	PUNCT
eajbcs-1073	66	21	2016	2016	NUM
eajbcs-1073	66	22	)	)	PUNCT
eajbcs-1073	66	23	will	will	AUX
eajbcs-1073	66	24	be	be	AUX
eajbcs-1073	66	25	the	the	DET
eajbcs-1073	66	26	only	only	ADJ
eajbcs-1073	66	27	method	method	NOUN
eajbcs-1073	66	28	used	use	VERB
eajbcs-1073	66	29	to	to	PART
eajbcs-1073	66	30	obtain	obtain	VERB
eajbcs-1073	66	31	the	the	DET
eajbcs-1073	66	32	paretooptimal	paretooptimal	ADJ
eajbcs-1073	66	33	solution	solution	NOUN
eajbcs-1073	66	34	of	of	ADP
eajbcs-1073	66	35	mopp	mopp	PROPN
eajbcs-1073	66	36	when	when	SCONJ
eajbcs-1073	66	37	using	use	VERB
eajbcs-1073	66	38	intuitionistic	intuitionistic	ADJ
eajbcs-1073	66	39	fuzzy	fuzzy	ADJ
eajbcs-1073	66	40	hierarchical	hierarchical	ADJ
eajbcs-1073	66	41	optimization	optimization	NOUN
eajbcs-1073	66	42	.	.	PUNCT
eajbcs-1073	67	1	furthermore	furthermore	ADV
eajbcs-1073	67	2	,	,	PUNCT
eajbcs-1073	67	3	the	the	DET
eajbcs-1073	67	4	ifo	ifo	PROPN
eajbcs-1073	67	5	approach	approach	NOUN
eajbcs-1073	67	6	offers	offer	VERB
eajbcs-1073	67	7	upper	upper	ADJ
eajbcs-1073	67	8	and	and	CCONJ
eajbcs-1073	67	9	lower	low	ADJ
eajbcs-1073	67	10	tolerances	tolerance	NOUN
eajbcs-1073	67	11	to	to	PART
eajbcs-1073	67	12	prevent	prevent	VERB
eajbcs-1073	67	13	decision	decision	NOUN
eajbcs-1073	67	14	stalemate	stalemate	NOUN
eajbcs-1073	67	15	when	when	SCONJ
eajbcs-1073	67	16	defining	define	VERB
eajbcs-1073	67	17	membership/	membership/	NUM
eajbcs-1073	67	18	satisfaction	satisfaction	NOUN
eajbcs-1073	67	19	and	and	CCONJ
eajbcs-1073	67	20	nonmembership/	nonmembership/	NUM
eajbcs-1073	67	21	dissatisfaction	dissatisfaction	NOUN
eajbcs-1073	67	22	for	for	ADP
eajbcs-1073	67	23	objective	objective	ADJ
eajbcs-1073	67	24	functions	function	NOUN
eajbcs-1073	67	25	.	.	PUNCT
eajbcs-1073	68	1	the	the	DET
eajbcs-1073	68	2	third	third	ADJ
eajbcs-1073	68	3	limitation	limitation	NOUN
eajbcs-1073	68	4	in	in	ADP
eajbcs-1073	68	5	the	the	DET
eajbcs-1073	68	6	literature	literature	NOUN
eajbcs-1073	68	7	of	of	ADP
eajbcs-1073	68	8	ifo	ifo	PROPN
eajbcs-1073	68	9	is	be	AUX
eajbcs-1073	68	10	that	that	PRON
eajbcs-1073	68	11	to	to	PART
eajbcs-1073	68	12	determine	determine	VERB
eajbcs-1073	68	13	upper	upper	ADJ
eajbcs-1073	68	14	and	and	CCONJ
eajbcs-1073	68	15	lower	low	ADJ
eajbcs-1073	68	16	tolerance	tolerance	NOUN
eajbcs-1073	68	17	,	,	PUNCT
eajbcs-1073	68	18	researchers	researcher	NOUN
eajbcs-1073	68	19	use	use	VERB
eajbcs-1073	68	20	the	the	DET
eajbcs-1073	68	21	“	"	PUNCT
eajbcs-1073	68	22	payoff	payoff	NOUN
eajbcs-1073	68	23	matrix	matrix	NOUN
eajbcs-1073	68	24	”	"	PUNCT
eajbcs-1073	68	25	approach	approach	NOUN
eajbcs-1073	68	26	without	without	ADP
eajbcs-1073	68	27	consideration	consideration	NOUN
eajbcs-1073	68	28	of	of	ADP
eajbcs-1073	68	29	underestimation	underestimation	NOUN
eajbcs-1073	68	30	or	or	CCONJ
eajbcs-1073	68	31	overestimation	overestimation	NOUN
eajbcs-1073	68	32	values	value	NOUN
eajbcs-1073	68	33	of	of	ADP
eajbcs-1073	68	34	the	the	DET
eajbcs-1073	68	35	nadir	nadir	NOUN
eajbcs-1073	68	36	point	point	NOUN
eajbcs-1073	68	37	.	.	PUNCT
eajbcs-1073	69	1	therefore	therefore	ADV
eajbcs-1073	69	2	,	,	PUNCT
eajbcs-1073	69	3	decision	decision	NOUN
eajbcs-1073	69	4	-	-	PUNCT
eajbcs-1073	69	5	makers	maker	NOUN
eajbcs-1073	69	6	may	may	AUX
eajbcs-1073	69	7	perceive	perceive	VERB
eajbcs-1073	69	8	the	the	DET
eajbcs-1073	69	9	solution	solution	NOUN
eajbcs-1073	69	10	derived	derive	VERB
eajbcs-1073	69	11	from	from	ADP
eajbcs-1073	69	12	this	this	DET
eajbcs-1073	69	13	approach	approach	NOUN
eajbcs-1073	69	14	incorrectly	incorrectly	ADV
eajbcs-1073	69	15	.	.	PUNCT
eajbcs-1073	70	1	but	but	CCONJ
eajbcs-1073	70	2	the	the	DET
eajbcs-1073	70	3	east	east	PROPN
eajbcs-1073	70	4	afr	afr	PROPN
eajbcs-1073	70	5	.	.	PUNCT
eajbcs-1073	71	1	j.	j.	PROPN
eajbcs-1073	71	2	biophys	biophys	PROPN
eajbcs-1073	71	3	.	.	PUNCT
eajbcs-1073	72	1	comput	comput	NOUN
eajbcs-1073	72	2	.	.	PUNCT
eajbcs-1073	73	1	sci	sci	PROPN
eajbcs-1073	73	2	.	.	PUNCT
eajbcs-1073	74	1	(	(	PUNCT
eajbcs-1073	74	2	2024	2024	NUM
eajbcs-1073	74	3	)	)	PUNCT
eajbcs-1073	74	4	,	,	PUNCT
eajbcs-1073	74	5	vol	vol	NOUN
eajbcs-1073	74	6	.	.	PROPN
eajbcs-1073	74	7	5	5	NUM
eajbcs-1073	74	8	,	,	PUNCT
eajbcs-1073	74	9	no	no	INTJ
eajbcs-1073	74	10	.	.	NOUN
eajbcs-1073	74	11	2	2	NUM
eajbcs-1073	74	12	,	,	PUNCT
eajbcs-1073	74	13	41	41	NUM
eajbcs-1073	74	14	-	-	SYM
eajbcs-1073	74	15	57	57	NUM
eajbcs-1073	74	16	43	43	NUM
eajbcs-1073	74	17	interactive	interactive	ADJ
eajbcs-1073	74	18	approach	approach	NOUN
eajbcs-1073	74	19	is	be	AUX
eajbcs-1073	74	20	helpful	helpful	ADJ
eajbcs-1073	74	21	to	to	ADP
eajbcs-1073	74	22	a	a	DET
eajbcs-1073	74	23	decisionmaker	decisionmaker	NOUN
eajbcs-1073	74	24	since	since	SCONJ
eajbcs-1073	74	25	it	it	PRON
eajbcs-1073	74	26	offers	offer	VERB
eajbcs-1073	74	27	mechanisms	mechanism	NOUN
eajbcs-1073	74	28	for	for	ADP
eajbcs-1073	74	29	learning	learn	VERB
eajbcs-1073	74	30	about	about	ADP
eajbcs-1073	74	31	a	a	DET
eajbcs-1073	74	32	problem	problem	NOUN
eajbcs-1073	74	33	in	in	ADP
eajbcs-1073	74	34	the	the	DET
eajbcs-1073	74	35	ifo	ifo	NOUN
eajbcs-1073	74	36	.	.	PUNCT
eajbcs-1073	75	1	there	there	PRON
eajbcs-1073	75	2	are	be	VERB
eajbcs-1073	75	3	a	a	DET
eajbcs-1073	75	4	few	few	ADJ
eajbcs-1073	75	5	researchers	researcher	NOUN
eajbcs-1073	75	6	that	that	PRON
eajbcs-1073	75	7	concern	concern	VERB
eajbcs-1073	75	8	an	an	DET
eajbcs-1073	75	9	interactive	interactive	ADJ
eajbcs-1073	75	10	method	method	NOUN
eajbcs-1073	75	11	for	for	ADP
eajbcs-1073	75	12	solving	solve	VERB
eajbcs-1073	75	13	a	a	DET
eajbcs-1073	75	14	different	different	ADJ
eajbcs-1073	75	15	domain	domain	NOUN
eajbcs-1073	75	16	of	of	ADP
eajbcs-1073	75	17	mopps	mopps	NOUN
eajbcs-1073	75	18	in	in	ADP
eajbcs-1073	75	19	an	an	DET
eajbcs-1073	75	20	intuitionistic	intuitionistic	ADJ
eajbcs-1073	75	21	fuzzy	fuzzy	ADJ
eajbcs-1073	75	22	decision	decision	NOUN
eajbcs-1073	75	23	environment	environment	NOUN
eajbcs-1073	75	24	,	,	PUNCT
eajbcs-1073	75	25	(	(	PUNCT
eajbcs-1073	75	26	hanine	hanine	NOUN
eajbcs-1073	75	27	et.al	et.al	PROPN
eajbcs-1073	75	28	.	.	PROPN
eajbcs-1073	75	29	,	,	PUNCT
eajbcs-1073	75	30	2021	2021	NUM
eajbcs-1073	75	31	;	;	PUNCT
eajbcs-1073	75	32	garai	garai	PROPN
eajbcs-1073	75	33	et.al	et.al	PROPN
eajbcs-1073	75	34	.	.	PROPN
eajbcs-1073	75	35	,	,	PUNCT
eajbcs-1073	75	36	2016	2016	NUM
eajbcs-1073	75	37	)	)	PUNCT
eajbcs-1073	75	38	.	.	PUNCT
eajbcs-1073	76	1	however	however	ADV
eajbcs-1073	76	2	,	,	PUNCT
eajbcs-1073	76	3	in	in	ADP
eajbcs-1073	76	4	the	the	DET
eajbcs-1073	76	5	existing	exist	VERB
eajbcs-1073	76	6	interactive	interactive	ADJ
eajbcs-1073	76	7	method	method	NOUN
eajbcs-1073	76	8	,	,	PUNCT
eajbcs-1073	76	9	decision	decision	NOUN
eajbcs-1073	76	10	-	-	PUNCT
eajbcs-1073	76	11	makers	maker	NOUN
eajbcs-1073	76	12	do	do	AUX
eajbcs-1073	76	13	not	not	PART
eajbcs-1073	76	14	have	have	VERB
eajbcs-1073	76	15	the	the	DET
eajbcs-1073	76	16	freedom	freedom	NOUN
eajbcs-1073	76	17	to	to	PART
eajbcs-1073	76	18	punish/	punish/	NUM
eajbcs-1073	76	19	penalize	penalize	VERB
eajbcs-1073	76	20	the	the	DET
eajbcs-1073	76	21	more	more	ADV
eajbcs-1073	76	22	unsatisfied	unsatisfied	ADJ
eajbcs-1073	76	23	objective	objective	ADJ
eajbcs-1073	76	24	function	function	NOUN
eajbcs-1073	76	25	at	at	ADP
eajbcs-1073	76	26	each	each	DET
eajbcs-1073	76	27	iteration	iteration	NOUN
eajbcs-1073	76	28	when	when	SCONJ
eajbcs-1073	76	29	the	the	DET
eajbcs-1073	76	30	current	current	ADJ
eajbcs-1073	76	31	solution	solution	NOUN
eajbcs-1073	76	32	does	do	AUX
eajbcs-1073	76	33	not	not	PART
eajbcs-1073	76	34	satisfy	satisfy	VERB
eajbcs-1073	76	35	the	the	DET
eajbcs-1073	76	36	dm	dm	NOUN
eajbcs-1073	76	37	,	,	PUNCT
eajbcs-1073	76	38	rather	rather	ADV
eajbcs-1073	76	39	than	than	ADP
eajbcs-1073	76	40	solving	solve	VERB
eajbcs-1073	76	41	the	the	DET
eajbcs-1073	76	42	problem	problem	NOUN
eajbcs-1073	76	43	from	from	ADP
eajbcs-1073	76	44	scratch	scratch	NOUN
eajbcs-1073	76	45	.	.	PUNCT
eajbcs-1073	77	1	by	by	ADP
eajbcs-1073	77	2	taking	take	VERB
eajbcs-1073	77	3	into	into	ADP
eajbcs-1073	77	4	account	account	NOUN
eajbcs-1073	77	5	the	the	DET
eajbcs-1073	77	6	aforementioned	aforementioned	ADJ
eajbcs-1073	77	7	limitations	limitation	NOUN
eajbcs-1073	77	8	,	,	PUNCT
eajbcs-1073	77	9	the	the	DET
eajbcs-1073	77	10	key	key	ADJ
eajbcs-1073	77	11	goal	goal	NOUN
eajbcs-1073	77	12	of	of	ADP
eajbcs-1073	77	13	this	this	DET
eajbcs-1073	77	14	research	research	NOUN
eajbcs-1073	77	15	study	study	NOUN
eajbcs-1073	77	16	is	be	AUX
eajbcs-1073	77	17	to	to	PART
eajbcs-1073	77	18	develop	develop	VERB
eajbcs-1073	77	19	a	a	DET
eajbcs-1073	77	20	general	general	ADJ
eajbcs-1073	77	21	and	and	CCONJ
eajbcs-1073	77	22	powerful	powerful	ADJ
eajbcs-1073	77	23	novel	novel	NOUN
eajbcs-1073	77	24	method	method	NOUN
eajbcs-1073	77	25	for	for	ADP
eajbcs-1073	77	26	solving	solve	VERB
eajbcs-1073	77	27	the	the	DET
eajbcs-1073	77	28	multi	multi	ADJ
eajbcs-1073	77	29	-	-	ADJ
eajbcs-1073	77	30	objective	objective	ADJ
eajbcs-1073	77	31	linear	linear	ADJ
eajbcs-1073	77	32	decision	decision	NOUN
eajbcs-1073	77	33	-	-	PUNCT
eajbcs-1073	77	34	making	make	VERB
eajbcs-1073	77	35	problem	problem	NOUN
eajbcs-1073	77	36	(	(	PUNCT
eajbcs-1073	77	37	moldmp	moldmp	NOUN
eajbcs-1073	77	38	)	)	PUNCT
eajbcs-1073	77	39	in	in	ADP
eajbcs-1073	77	40	an	an	DET
eajbcs-1073	77	41	ifde	ifde	NOUN
eajbcs-1073	77	42	using	use	VERB
eajbcs-1073	77	43	the	the	DET
eajbcs-1073	77	44	combination	combination	NOUN
eajbcs-1073	77	45	of	of	ADP
eajbcs-1073	77	46	penalty	penalty	NOUN
eajbcs-1073	77	47	function	function	NOUN
eajbcs-1073	77	48	method	method	NOUN
eajbcs-1073	77	49	,	,	PUNCT
eajbcs-1073	77	50	the	the	DET
eajbcs-1073	77	51	interactive	interactive	ADJ
eajbcs-1073	77	52	method	method	NOUN
eajbcs-1073	77	53	,	,	PUNCT
eajbcs-1073	77	54	and	and	CCONJ
eajbcs-1073	77	55	the	the	DET
eajbcs-1073	77	56	goal	goal	NOUN
eajbcs-1073	77	57	programming	programming	NOUN
eajbcs-1073	77	58	.	.	PUNCT
eajbcs-1073	78	1	additionally	additionally	ADV
eajbcs-1073	78	2	,	,	PUNCT
eajbcs-1073	78	3	the	the	DET
eajbcs-1073	78	4	following	follow	VERB
eajbcs-1073	78	5	points	point	NOUN
eajbcs-1073	78	6	are	be	AUX
eajbcs-1073	78	7	specific	specific	ADJ
eajbcs-1073	78	8	and	and	CCONJ
eajbcs-1073	78	9	basic	basic	ADJ
eajbcs-1073	78	10	contributions	contribution	NOUN
eajbcs-1073	78	11	of	of	ADP
eajbcs-1073	78	12	current	current	ADJ
eajbcs-1073	78	13	researchstudy	researchstudy	NOUN
eajbcs-1073	78	14	works	work	NOUN
eajbcs-1073	78	15	:	:	PUNCT
eajbcs-1073	78	16	i.	i.	NOUN
eajbcs-1073	78	17	we	we	PRON
eajbcs-1073	78	18	formulated	formulate	VERB
eajbcs-1073	78	19	an	an	DET
eajbcs-1073	78	20	if	if	SCONJ
eajbcs-1073	78	21	membership	membership	NOUN
eajbcs-1073	78	22	and	and	CCONJ
eajbcs-1073	78	23	nonmembership	nonmembership	NOUN
eajbcs-1073	78	24	function	function	NOUN
eajbcs-1073	78	25	by	by	ADP
eajbcs-1073	78	26	finding	find	VERB
eajbcs-1073	78	27	the	the	DET
eajbcs-1073	78	28	correct	correct	ADJ
eajbcs-1073	78	29	ideal	ideal	NOUN
eajbcs-1073	78	30	and	and	CCONJ
eajbcs-1073	78	31	nadir	nadir	NOUN
eajbcs-1073	78	32	point	point	NOUN
eajbcs-1073	78	33	to	to	PART
eajbcs-1073	78	34	set	set	VERB
eajbcs-1073	78	35	boundary	boundary	NOUN
eajbcs-1073	78	36	for	for	ADP
eajbcs-1073	78	37	intuitionistic	intuitionistic	ADJ
eajbcs-1073	78	38	fuzzy	fuzzy	ADJ
eajbcs-1073	78	39	goals	goal	NOUN
eajbcs-1073	78	40	(	(	PUNCT
eajbcs-1073	78	41	ifgs	ifgs	PROPN
eajbcs-1073	78	42	)	)	PUNCT
eajbcs-1073	78	43	.	.	PUNCT
eajbcs-1073	79	1	ii	ii	PROPN
eajbcs-1073	79	2	.	.	PUNCT
eajbcs-1073	80	1	we	we	PRON
eajbcs-1073	80	2	proposed	propose	VERB
eajbcs-1073	80	3	an	an	DET
eajbcs-1073	80	4	extended	extended	ADJ
eajbcs-1073	80	5	yagermembership	yagermembership	NOUN
eajbcs-1073	80	6	function	function	NOUN
eajbcs-1073	80	7	that	that	PRON
eajbcs-1073	80	8	eliminates	eliminate	VERB
eajbcs-1073	80	9	the	the	DET
eajbcs-1073	80	10	boundary	boundary	ADJ
eajbcs-1073	80	11	value	value	NOUN
eajbcs-1073	80	12	problem	problem	NOUN
eajbcs-1073	80	13	.	.	PUNCT
eajbcs-1073	81	1	ii	ii	PROPN
eajbcs-1073	81	2	.	.	PUNCT
eajbcs-1073	82	1	a	a	DET
eajbcs-1073	82	2	new	new	ADJ
eajbcs-1073	82	3	if	if	SCONJ
eajbcs-1073	82	4	aggregation	aggregation	NOUN
eajbcs-1073	82	5	operator	operator	NOUN
eajbcs-1073	82	6	is	be	AUX
eajbcs-1073	82	7	developed	develop	VERB
eajbcs-1073	82	8	to	to	PART
eajbcs-1073	82	9	convert	convert	VERB
eajbcs-1073	82	10	moldmp	moldmp	NOUN
eajbcs-1073	82	11	into	into	ADP
eajbcs-1073	82	12	a	a	DET
eajbcs-1073	82	13	single	single	ADJ
eajbcs-1073	82	14	-	-	PUNCT
eajbcs-1073	82	15	objective	objective	ADJ
eajbcs-1073	82	16	decision	decision	NOUN
eajbcs-1073	82	17	-	-	PUNCT
eajbcs-1073	82	18	making	make	VERB
eajbcs-1073	82	19	problem	problem	NOUN
eajbcs-1073	82	20	.	.	PUNCT
eajbcs-1073	82	21	iii	iii	X
eajbcs-1073	82	22	.	.	PUNCT
eajbcs-1073	83	1	using	use	VERB
eajbcs-1073	83	2	a	a	DET
eajbcs-1073	83	3	new	new	ADJ
eajbcs-1073	83	4	if	if	SCONJ
eajbcs-1073	83	5	aggregation	aggregation	NOUN
eajbcs-1073	83	6	operator	operator	NOUN
eajbcs-1073	83	7	,	,	PUNCT
eajbcs-1073	83	8	we	we	PRON
eajbcs-1073	83	9	proposed	propose	VERB
eajbcs-1073	83	10	an	an	DET
eajbcs-1073	83	11	ifg	ifg	NOUN
eajbcs-1073	83	12	programming	programming	NOUN
eajbcs-1073	83	13	model	model	NOUN
eajbcs-1073	83	14	to	to	PART
eajbcs-1073	83	15	find	find	VERB
eajbcs-1073	83	16	a	a	DET
eajbcs-1073	83	17	pareto	pareto	VERB
eajbcs-1073	83	18	-	-	PUNCT
eajbcs-1073	83	19	optimal	optimal	ADJ
eajbcs-1073	83	20	solution	solution	NOUN
eajbcs-1073	83	21	for	for	ADP
eajbcs-1073	83	22	moldmp	moldmp	PROPN
eajbcs-1073	83	23	.	.	PUNCT
eajbcs-1073	84	1	iv	iv	X
eajbcs-1073	84	2	.	.	PUNCT
eajbcs-1073	84	3	decision	decision	NOUN
eajbcs-1073	84	4	-	-	PUNCT
eajbcs-1073	84	5	makers	maker	NOUN
eajbcs-1073	84	6	provide	provide	VERB
eajbcs-1073	84	7	an	an	DET
eajbcs-1073	84	8	interactive	interactive	ADJ
eajbcs-1073	84	9	penalty	penalty	NOUN
eajbcs-1073	84	10	function	function	NOUN
eajbcs-1073	84	11	method	method	NOUN
eajbcs-1073	84	12	to	to	PART
eajbcs-1073	84	13	punish	punish	VERB
eajbcs-1073	84	14	unsatisfactory	unsatisfactory	ADJ
eajbcs-1073	84	15	objective	objective	ADJ
eajbcs-1073	84	16	functions	function	NOUN
eajbcs-1073	84	17	at	at	ADP
eajbcs-1073	84	18	the	the	DET
eajbcs-1073	84	19	current	current	ADJ
eajbcs-1073	84	20	solution	solution	NOUN
eajbcs-1073	84	21	.	.	PUNCT
eajbcs-1073	85	1	the	the	DET
eajbcs-1073	85	2	rest	rest	NOUN
eajbcs-1073	85	3	of	of	ADP
eajbcs-1073	85	4	the	the	DET
eajbcs-1073	85	5	paper	paper	NOUN
eajbcs-1073	85	6	is	be	AUX
eajbcs-1073	85	7	presented	present	VERB
eajbcs-1073	85	8	as	as	SCONJ
eajbcs-1073	85	9	follows	follow	VERB
eajbcs-1073	85	10	:	:	PUNCT
eajbcs-1073	85	11	the	the	DET
eajbcs-1073	85	12	basic	basic	ADJ
eajbcs-1073	85	13	concepts	concept	NOUN
eajbcs-1073	85	14	and	and	CCONJ
eajbcs-1073	85	15	terms	term	NOUN
eajbcs-1073	85	16	related	relate	VERB
eajbcs-1073	85	17	to	to	ADP
eajbcs-1073	85	18	the	the	DET
eajbcs-1073	85	19	paper	paper	NOUN
eajbcs-1073	85	20	are	be	AUX
eajbcs-1073	85	21	presented	present	VERB
eajbcs-1073	85	22	in	in	ADP
eajbcs-1073	85	23	section	section	NOUN
eajbcs-1073	85	24	2	2	NUM
eajbcs-1073	85	25	.	.	PUNCT
eajbcs-1073	85	26	section	section	NOUN
eajbcs-1073	85	27	3	3	NUM
eajbcs-1073	85	28	illustrates	illustrate	VERB
eajbcs-1073	85	29	the	the	DET
eajbcs-1073	85	30	mathematical	mathematical	ADJ
eajbcs-1073	85	31	formulation	formulation	NOUN
eajbcs-1073	85	32	of	of	ADP
eajbcs-1073	85	33	if	if	SCONJ
eajbcs-1073	85	34	-	-	PUNCT
eajbcs-1073	85	35	moldmps	moldmp	NOUN
eajbcs-1073	85	36	and	and	CCONJ
eajbcs-1073	85	37	its	its	PRON
eajbcs-1073	85	38	ifg	ifg	NOUN
eajbcs-1073	85	39	model	model	NOUN
eajbcs-1073	85	40	.	.	PUNCT
eajbcs-1073	86	1	in	in	ADP
eajbcs-1073	86	2	section	section	NOUN
eajbcs-1073	86	3	4	4	NUM
eajbcs-1073	86	4	,	,	PUNCT
eajbcs-1073	86	5	we	we	PRON
eajbcs-1073	86	6	demonstrated	demonstrate	VERB
eajbcs-1073	86	7	the	the	DET
eajbcs-1073	86	8	newly	newly	ADV
eajbcs-1073	86	9	proposed	propose	VERB
eajbcs-1073	86	10	method	method	NOUN
eajbcs-1073	86	11	developed	develop	VERB
eajbcs-1073	86	12	based	base	VERB
eajbcs-1073	86	13	on	on	ADP
eajbcs-1073	86	14	goal	goal	NOUN
eajbcs-1073	86	15	programming	programming	NOUN
eajbcs-1073	86	16	techniques	technique	NOUN
eajbcs-1073	86	17	and	and	CCONJ
eajbcs-1073	86	18	interactive	interactive	ADJ
eajbcs-1073	86	19	penalty	penalty	NOUN
eajbcs-1073	86	20	function	function	NOUN
eajbcs-1073	86	21	method	method	NOUN
eajbcs-1073	86	22	.	.	PUNCT
eajbcs-1073	87	1	the	the	DET
eajbcs-1073	87	2	general	general	ADJ
eajbcs-1073	87	3	framework	framework	NOUN
eajbcs-1073	87	4	or	or	CCONJ
eajbcs-1073	87	5	algorithm	algorithm	NOUN
eajbcs-1073	87	6	of	of	ADP
eajbcs-1073	87	7	the	the	DET
eajbcs-1073	87	8	proposed	propose	VERB
eajbcs-1073	87	9	method	method	NOUN
eajbcs-1073	87	10	presented	present	VERB
eajbcs-1073	87	11	in	in	ADP
eajbcs-1073	87	12	section	section	NOUN
eajbcs-1073	87	13	5	5	NUM
eajbcs-1073	87	14	and	and	CCONJ
eajbcs-1073	87	15	the	the	DET
eajbcs-1073	87	16	numerical	numerical	ADJ
eajbcs-1073	87	17	examples	example	NOUN
eajbcs-1073	87	18	used	use	VERB
eajbcs-1073	87	19	to	to	PART
eajbcs-1073	87	20	summarize	summarize	VERB
eajbcs-1073	87	21	and	and	CCONJ
eajbcs-1073	87	22	demonstrate	demonstrate	VERB
eajbcs-1073	87	23	the	the	DET
eajbcs-1073	87	24	applicability	applicability	NOUN
eajbcs-1073	87	25	of	of	ADP
eajbcs-1073	87	26	the	the	DET
eajbcs-1073	87	27	introduced	introduce	VERB
eajbcs-1073	87	28	method	method	NOUN
eajbcs-1073	87	29	are	be	AUX
eajbcs-1073	87	30	discussed	discuss	VERB
eajbcs-1073	87	31	in	in	ADP
eajbcs-1073	87	32	section	section	NOUN
eajbcs-1073	87	33	6	6	NUM
eajbcs-1073	87	34	.	.	PUNCT
eajbcs-1073	88	1	the	the	DET
eajbcs-1073	88	2	results	result	NOUN
eajbcs-1073	88	3	and	and	CCONJ
eajbcs-1073	88	4	discussion	discussion	NOUN
eajbcs-1073	88	5	of	of	ADP
eajbcs-1073	88	6	the	the	DET
eajbcs-1073	88	7	study	study	NOUN
eajbcs-1073	88	8	are	be	AUX
eajbcs-1073	88	9	given	give	VERB
eajbcs-1073	88	10	in	in	ADP
eajbcs-1073	88	11	section	section	NOUN
eajbcs-1073	88	12	7	7	NUM
eajbcs-1073	88	13	.	.	PUNCT
eajbcs-1073	89	1	finally	finally	ADV
eajbcs-1073	89	2	,	,	PUNCT
eajbcs-1073	89	3	the	the	DET
eajbcs-1073	89	4	conclusion	conclusion	NOUN
eajbcs-1073	89	5	of	of	ADP
eajbcs-1073	89	6	the	the	DET
eajbcs-1073	89	7	present	present	ADJ
eajbcs-1073	89	8	work	work	NOUN
eajbcs-1073	89	9	and	and	CCONJ
eajbcs-1073	89	10	its	its	PRON
eajbcs-1073	89	11	future	future	ADJ
eajbcs-1073	89	12	scope	scope	NOUN
eajbcs-1073	89	13	are	be	AUX
eajbcs-1073	89	14	given	give	VERB
eajbcs-1073	89	15	in	in	ADP
eajbcs-1073	89	16	section	section	NOUN
eajbcs-1073	89	17	8	8	NUM
eajbcs-1073	89	18	.	.	NOUN
eajbcs-1073	90	1	2	2	NUM
eajbcs-1073	90	2	.	.	NUM
eajbcs-1073	90	3	preliminaries	preliminary	NOUN
eajbcs-1073	90	4	2.1	2.1	NUM
eajbcs-1073	90	5	.	.	PUNCT
eajbcs-1073	91	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	91	2	fuzzy	fuzzy	ADJ
eajbcs-1073	91	3	set	set	VERB
eajbcs-1073	91	4	definition	definition	NOUN
eajbcs-1073	91	5	2.1	2.1	NUM
eajbcs-1073	91	6	.	.	PUNCT
eajbcs-1073	92	1	(	(	PUNCT
eajbcs-1073	92	2	atanassov	atanassov	ADV
eajbcs-1073	92	3	,	,	PUNCT
eajbcs-1073	92	4	1986	1986	NUM
eajbcs-1073	92	5	;	;	PUNCT
eajbcs-1073	92	6	fathy	fathy	PROPN
eajbcs-1073	92	7	et.al	et.al	PROPN
eajbcs-1073	92	8	.	.	PROPN
eajbcs-1073	92	9	,	,	PUNCT
eajbcs-1073	92	10	2023	2023	NUM
eajbcs-1073	92	11	)	)	PUNCT
eajbcs-1073	92	12	an	an	DET
eajbcs-1073	92	13	intuitionistic	intuitionistic	ADJ
eajbcs-1073	92	14	fuzzy	fuzzy	ADJ
eajbcs-1073	92	15	set	set	NOUN
eajbcs-1073	92	16	(	(	PUNCT
eajbcs-1073	92	17	ifs	ifs	PROPN
eajbcs-1073	92	18	)	)	PUNCT
eajbcs-1073	92	19	ãi	ãi	VERB
eajbcs-1073	92	20	in	in	ADP
eajbcs-1073	92	21	a	a	DET
eajbcs-1073	92	22	non	non	ADJ
eajbcs-1073	92	23	-	-	ADJ
eajbcs-1073	92	24	empty	empty	ADJ
eajbcs-1073	92	25	universal	universal	NOUN
eajbcs-1073	92	26	x	x	X
eajbcs-1073	92	27	is	be	AUX
eajbcs-1073	92	28	a	a	DET
eajbcs-1073	92	29	set	set	NOUN
eajbcs-1073	92	30	of	of	ADP
eajbcs-1073	92	31	ordered	order	VERB
eajbcs-1073	92	32	-	-	PUNCT
eajbcs-1073	92	33	triplets	triplet	NOUN
eajbcs-1073	92	34	ãi	ãi	PUNCT
eajbcs-1073	92	35	=	=	SYM
eajbcs-1073	92	36	{	{	PUNCT
eajbcs-1073	92	37	<	<	X
eajbcs-1073	92	38	x	x	X
eajbcs-1073	92	39	,	,	PUNCT
eajbcs-1073	92	40	µãi	µãi	ADV
eajbcs-1073	92	41	(	(	PUNCT
eajbcs-1073	92	42	x	x	NOUN
eajbcs-1073	92	43	)	)	PUNCT
eajbcs-1073	92	44	,	,	PUNCT
eajbcs-1073	92	45	νãi	νãi	PROPN
eajbcs-1073	92	46	(	(	PUNCT
eajbcs-1073	92	47	x	x	X
eajbcs-1073	92	48	)	)	PUNCT
eajbcs-1073	92	49	>	>	PUNCT
eajbcs-1073	92	50	:	:	PUNCT
eajbcs-1073	92	51	x	x	SYM
eajbcs-1073	92	52	∈	∈	NOUN
eajbcs-1073	92	53	x	x	X
eajbcs-1073	92	54	}	}	PUNCT
eajbcs-1073	92	55	where	where	SCONJ
eajbcs-1073	92	56	,	,	PUNCT
eajbcs-1073	92	57	µãi	µãi	ADV
eajbcs-1073	92	58	:	:	PUNCT
eajbcs-1073	92	59	x	x	X
eajbcs-1073	92	60	→	→	PUNCT
eajbcs-1073	92	61	[	[	X
eajbcs-1073	92	62	0	0	NUM
eajbcs-1073	92	63	,	,	PUNCT
eajbcs-1073	92	64	1	1	NUM
eajbcs-1073	92	65	]	]	PUNCT
eajbcs-1073	92	66	represent	represent	VERB
eajbcs-1073	92	67	the	the	DET
eajbcs-1073	92	68	membership	membership	NOUN
eajbcs-1073	92	69	function	function	NOUN
eajbcs-1073	92	70	or	or	CCONJ
eajbcs-1073	92	71	degree	degree	NOUN
eajbcs-1073	92	72	of	of	ADP
eajbcs-1073	92	73	belongingness	belongingness	NOUN
eajbcs-1073	92	74	and	and	CCONJ
eajbcs-1073	92	75	νãi	νãi	VERB
eajbcs-1073	92	76	:	:	PUNCT
eajbcs-1073	93	1	x	x	X
eajbcs-1073	93	2	→	→	PUNCT
eajbcs-1073	93	3	[	[	X
eajbcs-1073	93	4	0	0	NUM
eajbcs-1073	93	5	,	,	PUNCT
eajbcs-1073	93	6	1	1	NUM
eajbcs-1073	93	7	]	]	PUNCT
eajbcs-1073	93	8	represent	represent	VERB
eajbcs-1073	93	9	non	non	ADJ
eajbcs-1073	93	10	-	-	ADJ
eajbcs-1073	93	11	membership	membership	ADJ
eajbcs-1073	93	12	function	function	NOUN
eajbcs-1073	93	13	or	or	CCONJ
eajbcs-1073	93	14	degree	degree	NOUN
eajbcs-1073	93	15	of	of	ADP
eajbcs-1073	93	16	non	non	ADJ
eajbcs-1073	93	17	-	-	NOUN
eajbcs-1073	93	18	belongingness	belongingness	NOUN
eajbcs-1073	93	19	of	of	ADP
eajbcs-1073	93	20	the	the	DET
eajbcs-1073	93	21	element	element	NOUN
eajbcs-1073	93	22	x	x	SYM
eajbcs-1073	93	23	∈	∈	NOUN
eajbcs-1073	93	24	x	x	PUNCT
eajbcs-1073	93	25	being	be	AUX
eajbcs-1073	93	26	in	in	ADP
eajbcs-1073	93	27	ãi	ãi	PROPN
eajbcs-1073	93	28	,	,	PUNCT
eajbcs-1073	93	29	so	so	SCONJ
eajbcs-1073	93	30	that	that	SCONJ
eajbcs-1073	93	31	∀x	∀x	VERB
eajbcs-1073	93	32	∈	∈	PROPN
eajbcs-1073	93	33	x	x	SYM
eajbcs-1073	93	34	,	,	PUNCT
eajbcs-1073	93	35	0	0	NUM
eajbcs-1073	93	36	≤	≤	NOUN
eajbcs-1073	93	37	µãi	µãi	ADV
eajbcs-1073	93	38	(	(	PUNCT
eajbcs-1073	93	39	x	x	X
eajbcs-1073	93	40	)	)	PUNCT
eajbcs-1073	94	1	+	+	CCONJ
eajbcs-1073	94	2	νãi	νãi	PROPN
eajbcs-1073	94	3	(	(	PUNCT
eajbcs-1073	94	4	x	x	NOUN
eajbcs-1073	94	5	)	)	PUNCT
eajbcs-1073	94	6	≤	≤	NUM
eajbcs-1073	94	7	1	1	NUM
eajbcs-1073	94	8	,	,	PUNCT
eajbcs-1073	94	9	.	.	PUNCT
eajbcs-1073	95	1	for	for	ADP
eajbcs-1073	95	2	any	any	DET
eajbcs-1073	95	3	ifs	ifs	PROPN
eajbcs-1073	95	4	ãi	ãi	VERB
eajbcs-1073	95	5	on	on	ADP
eajbcs-1073	95	6	x	x	PRON
eajbcs-1073	95	7	,	,	PUNCT
eajbcs-1073	95	8	πãi	πãi	PROPN
eajbcs-1073	95	9	(	(	PUNCT
eajbcs-1073	95	10	x	x	X
eajbcs-1073	95	11	)	)	PUNCT
eajbcs-1073	95	12	=	=	SYM
eajbcs-1073	95	13	1−µãi	1−µãi	PROPN
eajbcs-1073	96	1	(	(	PUNCT
eajbcs-1073	96	2	x)−νãi	x)−νãi	PROPN
eajbcs-1073	96	3	(	(	PUNCT
eajbcs-1073	96	4	x	x	X
eajbcs-1073	96	5	)	)	PUNCT
eajbcs-1073	96	6	is	be	AUX
eajbcs-1073	96	7	the	the	DET
eajbcs-1073	96	8	degree	degree	NOUN
eajbcs-1073	96	9	of	of	ADP
eajbcs-1073	96	10	indeterminacy	indeterminacy	NOUN
eajbcs-1073	96	11	of	of	ADP
eajbcs-1073	96	12	x	x	PUNCT
eajbcs-1073	96	13	∈	∈	PROPN
eajbcs-1073	96	14	ãi	ãi	NOUN
eajbcs-1073	96	15	or	or	CCONJ
eajbcs-1073	96	16	x	x	SYM
eajbcs-1073	96	17	/∈	/∈	INTJ
eajbcs-1073	96	18	ãi	ãi	INTJ
eajbcs-1073	96	19	.	.	PUNCT
eajbcs-1073	97	1	2.1.1	2.1.1	X
eajbcs-1073	97	2	.	.	PUNCT
eajbcs-1073	98	1	operations	operation	NOUN
eajbcs-1073	98	2	over	over	ADP
eajbcs-1073	98	3	intuitionistic	intuitionistic	ADJ
eajbcs-1073	98	4	fuzzy	fuzzy	ADJ
eajbcs-1073	98	5	sets	set	NOUN
eajbcs-1073	98	6	assume	assume	VERB
eajbcs-1073	98	7	that	that	SCONJ
eajbcs-1073	98	8	ãi	ãi	PUNCT
eajbcs-1073	98	9	=	=	PRON
eajbcs-1073	98	10	{	{	PUNCT
eajbcs-1073	98	11	<	<	X
eajbcs-1073	98	12	x	x	X
eajbcs-1073	98	13	,	,	PUNCT
eajbcs-1073	98	14	µãi	µãi	ADV
eajbcs-1073	98	15	(	(	PUNCT
eajbcs-1073	98	16	x	x	NOUN
eajbcs-1073	98	17	)	)	PUNCT
eajbcs-1073	98	18	,	,	PUNCT
eajbcs-1073	98	19	νãi	νãi	PROPN
eajbcs-1073	98	20	(	(	PUNCT
eajbcs-1073	98	21	x	x	X
eajbcs-1073	98	22	)	)	PUNCT
eajbcs-1073	98	23	>	>	PUNCT
eajbcs-1073	99	1	|x	|x	PROPN
eajbcs-1073	100	1	∈	∈	PROPN
eajbcs-1073	100	2	x	x	X
eajbcs-1073	100	3	}	}	PUNCT
eajbcs-1073	100	4	and	and	CCONJ
eajbcs-1073	100	5	b̃i	b̃i	ADP
eajbcs-1073	100	6	=	=	X
eajbcs-1073	100	7	{	{	PUNCT
eajbcs-1073	100	8	<	<	X
eajbcs-1073	100	9	x	x	PROPN
eajbcs-1073	100	10	,	,	PUNCT
eajbcs-1073	100	11	µb̃i	µb̃i	PROPN
eajbcs-1073	100	12	(	(	PUNCT
eajbcs-1073	100	13	x	x	NOUN
eajbcs-1073	100	14	)	)	PUNCT
eajbcs-1073	100	15	,	,	PUNCT
eajbcs-1073	100	16	νb̃i	νb̃i	ADV
eajbcs-1073	100	17	(	(	PUNCT
eajbcs-1073	100	18	x	x	X
eajbcs-1073	100	19	)	)	PUNCT
eajbcs-1073	100	20	>	>	PUNCT
eajbcs-1073	100	21	|x	|x	PROPN
eajbcs-1073	100	22	∈	∈	PROPN
eajbcs-1073	100	23	x	x	PRON
eajbcs-1073	100	24	}	}	PUNCT
eajbcs-1073	100	25	are	be	AUX
eajbcs-1073	100	26	any	any	DET
eajbcs-1073	100	27	ifss	ifss	NOUN
eajbcs-1073	100	28	on	on	ADP
eajbcs-1073	100	29	the	the	DET
eajbcs-1073	100	30	universal	universal	ADJ
eajbcs-1073	100	31	set	set	NOUN
eajbcs-1073	100	32	x	x	NOUN
eajbcs-1073	100	33	,	,	PUNCT
eajbcs-1073	100	34	(	(	PUNCT
eajbcs-1073	100	35	husain	husain	PROPN
eajbcs-1073	100	36	et.al	et.al	PROPN
eajbcs-1073	100	37	.	.	PROPN
eajbcs-1073	100	38	,	,	PUNCT
eajbcs-1073	100	39	2012	2012	NUM
eajbcs-1073	100	40	)	)	PUNCT
eajbcs-1073	100	41	.	.	PUNCT
eajbcs-1073	101	1	1	1	X
eajbcs-1073	101	2	.	.	X
eajbcs-1073	101	3	subset	subset	VERB
eajbcs-1073	101	4	ãi	ãi	VERB
eajbcs-1073	101	5	⊆	⊆	NUM
eajbcs-1073	101	6	b̃i	b̃i	ADP
eajbcs-1073	101	7	⇐	⇐	ADJ
eajbcs-1073	101	8	⇒	⇒	NOUN
eajbcs-1073	101	9	µãi	µãi	PUNCT
eajbcs-1073	101	10	(	(	PUNCT
eajbcs-1073	101	11	x	x	X
eajbcs-1073	101	12	)	)	PUNCT
eajbcs-1073	101	13	≤	≤	NOUN
eajbcs-1073	101	14	µb̃i	µb̃i	PROPN
eajbcs-1073	101	15	(	(	PUNCT
eajbcs-1073	101	16	x	x	NOUN
eajbcs-1073	101	17	)	)	PUNCT
eajbcs-1073	101	18	and	and	CCONJ
eajbcs-1073	101	19	νãi	νãi	PROPN
eajbcs-1073	101	20	(	(	PUNCT
eajbcs-1073	101	21	x	x	X
eajbcs-1073	101	22	)	)	PUNCT
eajbcs-1073	101	23	≥	≥	NOUN
eajbcs-1073	101	24	νb̃i	νb̃i	ADV
eajbcs-1073	101	25	(	(	PUNCT
eajbcs-1073	101	26	x	x	X
eajbcs-1073	101	27	)	)	PUNCT
eajbcs-1073	101	28	,	,	PUNCT
eajbcs-1073	101	29	∀x	∀x	X
eajbcs-1073	101	30	∈	∈	PROPN
eajbcs-1073	101	31	x.	x.	NOUN
eajbcs-1073	101	32	east	east	PROPN
eajbcs-1073	101	33	afr	afr	PROPN
eajbcs-1073	101	34	.	.	PUNCT
eajbcs-1073	102	1	j.	j.	PROPN
eajbcs-1073	102	2	biophys	biophys	PROPN
eajbcs-1073	102	3	.	.	PUNCT
eajbcs-1073	103	1	comput	comput	NOUN
eajbcs-1073	103	2	.	.	PUNCT
eajbcs-1073	104	1	sci	sci	PROPN
eajbcs-1073	104	2	.	.	PUNCT
eajbcs-1073	105	1	(	(	PUNCT
eajbcs-1073	105	2	2024	2024	NUM
eajbcs-1073	105	3	)	)	PUNCT
eajbcs-1073	105	4	,	,	PUNCT
eajbcs-1073	105	5	vol	vol	NOUN
eajbcs-1073	105	6	.	.	PROPN
eajbcs-1073	105	7	5	5	NUM
eajbcs-1073	105	8	,	,	PUNCT
eajbcs-1073	105	9	no	no	INTJ
eajbcs-1073	105	10	.	.	NOUN
eajbcs-1073	105	11	2	2	NUM
eajbcs-1073	105	12	,	,	PUNCT
eajbcs-1073	105	13	41	41	NUM
eajbcs-1073	105	14	-	-	SYM
eajbcs-1073	105	15	57	57	NUM
eajbcs-1073	105	16	44	44	NUM
eajbcs-1073	105	17	2	2	NUM
eajbcs-1073	105	18	.	.	PUNCT
eajbcs-1073	105	19	equal	equal	ADJ
eajbcs-1073	105	20	set	set	NOUN
eajbcs-1073	105	21	:	:	PUNCT
eajbcs-1073	105	22	ãi	ãi	X
eajbcs-1073	105	23	=	=	PUNCT
eajbcs-1073	105	24	b̃i	b̃i	ADP
eajbcs-1073	105	25	⇐	⇐	ADJ
eajbcs-1073	105	26	⇒	⇒	NOUN
eajbcs-1073	105	27	µãi	µãi	PUNCT
eajbcs-1073	105	28	(	(	PUNCT
eajbcs-1073	105	29	x	x	X
eajbcs-1073	105	30	)	)	PUNCT
eajbcs-1073	105	31	=	=	SYM
eajbcs-1073	105	32	µb̃i	µb̃i	PROPN
eajbcs-1073	105	33	(	(	PUNCT
eajbcs-1073	105	34	x	x	NOUN
eajbcs-1073	105	35	)	)	PUNCT
eajbcs-1073	105	36	and	and	CCONJ
eajbcs-1073	105	37	νãi	νãi	PROPN
eajbcs-1073	105	38	(	(	PUNCT
eajbcs-1073	105	39	x	x	X
eajbcs-1073	105	40	)	)	PUNCT
eajbcs-1073	106	1	=	=	PUNCT
eajbcs-1073	106	2	νb̃i	νb̃i	ADV
eajbcs-1073	106	3	(	(	PUNCT
eajbcs-1073	106	4	x	x	NOUN
eajbcs-1073	106	5	)	)	PUNCT
eajbcs-1073	106	6	,	,	PUNCT
eajbcs-1073	106	7	∀x	∀x	X
eajbcs-1073	106	8	∈	∈	PROPN
eajbcs-1073	106	9	x.	x.	NOUN
eajbcs-1073	106	10	3	3	X
eajbcs-1073	106	11	.	.	X
eajbcs-1073	106	12	complementation	complementation	NOUN
eajbcs-1073	106	13	:	:	PUNCT
eajbcs-1073	106	14	(	(	PUNCT
eajbcs-1073	106	15	ãi)c	ãi)c	NOUN
eajbcs-1073	106	16	=	=	SYM
eajbcs-1073	106	17	{	{	PUNCT
eajbcs-1073	106	18	<	<	X
eajbcs-1073	106	19	x	x	X
eajbcs-1073	106	20	,	,	PUNCT
eajbcs-1073	106	21	νãi	νãi	PROPN
eajbcs-1073	106	22	(	(	PUNCT
eajbcs-1073	106	23	x	x	NOUN
eajbcs-1073	106	24	)	)	PUNCT
eajbcs-1073	106	25	,	,	PUNCT
eajbcs-1073	106	26	µãi	µãi	PRON
eajbcs-1073	106	27	(	(	PUNCT
eajbcs-1073	106	28	x	x	X
eajbcs-1073	106	29	)	)	PUNCT
eajbcs-1073	106	30	>	>	PUNCT
eajbcs-1073	106	31	|x	|x	PROPN
eajbcs-1073	106	32	∈	∈	PROPN
eajbcs-1073	106	33	x	x	X
eajbcs-1073	106	34	}	}	PUNCT
eajbcs-1073	106	35	.	.	PUNCT
eajbcs-1073	107	1	to	to	PART
eajbcs-1073	107	2	represent	represent	VERB
eajbcs-1073	107	3	the	the	DET
eajbcs-1073	107	4	minimum	minimum	ADJ
eajbcs-1073	107	5	and	and	CCONJ
eajbcs-1073	107	6	maximum	maximum	ADJ
eajbcs-1073	107	7	operator	operator	NOUN
eajbcs-1073	107	8	(	(	PUNCT
eajbcs-1073	107	9	that	that	PRON
eajbcs-1073	107	10	means	mean	VERB
eajbcs-1073	107	11	:	:	PUNCT
eajbcs-1073	107	12	min	min	NOUN
eajbcs-1073	107	13	and	and	CCONJ
eajbcs-1073	107	14	max	max	PROPN
eajbcs-1073	107	15	operator	operator	NOUN
eajbcs-1073	107	16	)	)	PUNCT
eajbcs-1073	107	17	,	,	PUNCT
eajbcs-1073	107	18	we	we	PRON
eajbcs-1073	107	19	use	use	VERB
eajbcs-1073	107	20	the	the	DET
eajbcs-1073	107	21	symbols	symbol	NOUN
eajbcs-1073	107	22	“	"	PUNCT
eajbcs-1073	107	23	∧	∧	PROPN
eajbcs-1073	107	24	”	"	PUNCT
eajbcs-1073	107	25	and	and	CCONJ
eajbcs-1073	107	26	“	"	PUNCT
eajbcs-1073	107	27	∨	∨	NOUN
eajbcs-1073	107	28	”	"	PUNCT
eajbcs-1073	107	29	respectively	respectively	ADV
eajbcs-1073	107	30	.	.	PUNCT
eajbcs-1073	108	1	4	4	X
eajbcs-1073	108	2	.	.	X
eajbcs-1073	108	3	intersection	intersection	NOUN
eajbcs-1073	108	4	:	:	PUNCT
eajbcs-1073	108	5	ãi	ãi	PROPN
eajbcs-1073	108	6	∩	∩	NOUN
eajbcs-1073	108	7	b̃i	b̃i	X
eajbcs-1073	108	8	=	=	X
eajbcs-1073	108	9	{	{	PUNCT
eajbcs-1073	108	10	<	<	X
eajbcs-1073	108	11	x	x	X
eajbcs-1073	108	12	,	,	PUNCT
eajbcs-1073	108	13	µãi	µãi	ADV
eajbcs-1073	108	14	(	(	PUNCT
eajbcs-1073	108	15	x	x	X
eajbcs-1073	108	16	)	)	PUNCT
eajbcs-1073	108	17	∧	∧	PROPN
eajbcs-1073	108	18	µb̃i	µb̃i	PROPN
eajbcs-1073	108	19	(	(	PUNCT
eajbcs-1073	108	20	x	x	NOUN
eajbcs-1073	108	21	)	)	PUNCT
eajbcs-1073	108	22	,	,	PUNCT
eajbcs-1073	108	23	νãi	νãi	PROPN
eajbcs-1073	108	24	(	(	PUNCT
eajbcs-1073	108	25	x	x	X
eajbcs-1073	108	26	)	)	PUNCT
eajbcs-1073	108	27	∨	∨	NUM
eajbcs-1073	108	28	νb̃i	νb̃i	ADV
eajbcs-1073	108	29	(	(	PUNCT
eajbcs-1073	108	30	x	x	X
eajbcs-1073	108	31	)	)	PUNCT
eajbcs-1073	108	32	>	>	PUNCT
eajbcs-1073	108	33	|x	|x	PROPN
eajbcs-1073	108	34	∈	∈	PROPN
eajbcs-1073	108	35	x	x	X
eajbcs-1073	108	36	}	}	PUNCT
eajbcs-1073	108	37	.	.	PUNCT
eajbcs-1073	109	1	5	5	X
eajbcs-1073	109	2	.	.	X
eajbcs-1073	109	3	union	union	NOUN
eajbcs-1073	109	4	:	:	PUNCT
eajbcs-1073	109	5	ãi	ãi	VERB
eajbcs-1073	109	6	∪	∪	VERB
eajbcs-1073	109	7	b̃i	b̃i	ADP
eajbcs-1073	109	8	=	=	PUNCT
eajbcs-1073	109	9	{	{	PUNCT
eajbcs-1073	109	10	<	<	X
eajbcs-1073	109	11	x	x	X
eajbcs-1073	109	12	,	,	PUNCT
eajbcs-1073	109	13	µãi	µãi	PRON
eajbcs-1073	109	14	(	(	PUNCT
eajbcs-1073	109	15	x	x	X
eajbcs-1073	109	16	)	)	PUNCT
eajbcs-1073	109	17	∨	∨	NUM
eajbcs-1073	109	18	µb̃i	µb̃i	PROPN
eajbcs-1073	109	19	(	(	PUNCT
eajbcs-1073	109	20	x	x	NOUN
eajbcs-1073	109	21	)	)	PUNCT
eajbcs-1073	109	22	,	,	PUNCT
eajbcs-1073	109	23	νãi	νãi	PROPN
eajbcs-1073	109	24	(	(	PUNCT
eajbcs-1073	109	25	x	x	X
eajbcs-1073	109	26	)	)	PUNCT
eajbcs-1073	109	27	∧	∧	NOUN
eajbcs-1073	109	28	νb̃i	νb̃i	ADV
eajbcs-1073	109	29	(	(	PUNCT
eajbcs-1073	109	30	x	x	X
eajbcs-1073	109	31	)	)	PUNCT
eajbcs-1073	109	32	>	>	PUNCT
eajbcs-1073	109	33	|x	|x	PROPN
eajbcs-1073	109	34	∈	∈	PROPN
eajbcs-1073	109	35	x	x	X
eajbcs-1073	109	36	}	}	PUNCT
eajbcs-1073	109	37	.	.	PUNCT
eajbcs-1073	110	1	2.2	2.2	NUM
eajbcs-1073	110	2	.	.	PUNCT
eajbcs-1073	111	1	multi	multi	ADJ
eajbcs-1073	111	2	-	-	ADJ
eajbcs-1073	111	3	objective	objective	ADJ
eajbcs-1073	111	4	programming	programming	NOUN
eajbcs-1073	111	5	problem	problem	NOUN
eajbcs-1073	111	6	assume	assume	VERB
eajbcs-1073	111	7	that	that	SCONJ
eajbcs-1073	111	8	a	a	DET
eajbcs-1073	111	9	vector	vector	NOUN
eajbcs-1073	111	10	-	-	PUNCT
eajbcs-1073	111	11	valued	value	VERB
eajbcs-1073	111	12	objective	objective	ADJ
eajbcs-1073	111	13	function	function	NOUN
eajbcs-1073	111	14	f	f	NOUN
eajbcs-1073	111	15	:	:	PUNCT
eajbcs-1073	112	1	ℜn	ℜn	ADP
eajbcs-1073	112	2	→	→	SYM
eajbcs-1073	112	3	ℜk	ℜk	ADJ
eajbcs-1073	112	4	(	(	PUNCT
eajbcs-1073	112	5	f(x	f(x	PROPN
eajbcs-1073	112	6	)	)	PUNCT
eajbcs-1073	112	7	=	=	PRON
eajbcs-1073	112	8	(	(	PUNCT
eajbcs-1073	112	9	f1(x	f1(x	NOUN
eajbcs-1073	112	10	)	)	PUNCT
eajbcs-1073	112	11	,	,	PUNCT
eajbcs-1073	112	12	f2(x	f2(x	PROPN
eajbcs-1073	112	13	)	)	PUNCT
eajbcs-1073	112	14	,	,	PUNCT
eajbcs-1073	112	15	f3(x	f3(x	NUM
eajbcs-1073	112	16	)	)	PUNCT
eajbcs-1073	112	17	.	.	PUNCT
eajbcs-1073	112	18	.	.	PUNCT
eajbcs-1073	112	19	.	.	PUNCT
eajbcs-1073	113	1	,	,	PUNCT
eajbcs-1073	113	2	fk(x	fk(x	PROPN
eajbcs-1073	113	3	)	)	PUNCT
eajbcs-1073	113	4	)	)	PUNCT
eajbcs-1073	113	5	,	,	PUNCT
eajbcs-1073	113	6	and	and	CCONJ
eajbcs-1073	113	7	constraint	constraint	NOUN
eajbcs-1073	113	8	functions	function	NOUN
eajbcs-1073	113	9	g	g	NOUN
eajbcs-1073	113	10	:	:	PUNCT
eajbcs-1073	113	11	ℜn	ℜn	PROPN
eajbcs-1073	113	12	→	→	SYM
eajbcs-1073	113	13	ℜm	ℜm	PROPN
eajbcs-1073	113	14	(	(	PUNCT
eajbcs-1073	113	15	g(x	g(x	NOUN
eajbcs-1073	113	16	)	)	PUNCT
eajbcs-1073	113	17	=	=	SYM
eajbcs-1073	114	1	(	(	PUNCT
eajbcs-1073	114	2	g1(x	g1(x	NOUN
eajbcs-1073	114	3	)	)	PUNCT
eajbcs-1073	114	4	,	,	PUNCT
eajbcs-1073	114	5	g2(x	g2(x	PROPN
eajbcs-1073	114	6	)	)	PUNCT
eajbcs-1073	114	7	,	,	PUNCT
eajbcs-1073	114	8	g3(x	g3(x	PROPN
eajbcs-1073	114	9	)	)	PUNCT
eajbcs-1073	114	10	,	,	PUNCT
eajbcs-1073	114	11	.	.	PUNCT
eajbcs-1073	114	12	.	.	PUNCT
eajbcs-1073	115	1	.	.	PUNCT
eajbcs-1073	116	1	,	,	PUNCT
eajbcs-1073	116	2	gm(x	gm(x	NUM
eajbcs-1073	116	3	)	)	PUNCT
eajbcs-1073	116	4	)	)	PUNCT
eajbcs-1073	117	1	are	be	AUX
eajbcs-1073	117	2	continuously	continuously	ADV
eajbcs-1073	117	3	differentiable	differentiable	ADJ
eajbcs-1073	117	4	for	for	ADP
eajbcs-1073	117	5	all	all	DET
eajbcs-1073	117	6	decision	decision	NOUN
eajbcs-1073	117	7	vector	vector	NOUN
eajbcs-1073	117	8	x	x	NOUN
eajbcs-1073	117	9	=	=	SYM
eajbcs-1073	117	10	(	(	PUNCT
eajbcs-1073	117	11	x1	x1	PROPN
eajbcs-1073	117	12	,	,	PUNCT
eajbcs-1073	117	13	x2	x2	PROPN
eajbcs-1073	117	14	,	,	PUNCT
eajbcs-1073	117	15	x3	x3	ADJ
eajbcs-1073	117	16	.	.	PUNCT
eajbcs-1073	117	17	.	.	PUNCT
eajbcs-1073	117	18	.	.	PUNCT
eajbcs-1073	118	1	,	,	PUNCT
eajbcs-1073	118	2	xn	xn	X
eajbcs-1073	118	3	)	)	PUNCT
eajbcs-1073	118	4	∈	∈	PROPN
eajbcs-1073	118	5	s	s	VERB
eajbcs-1073	118	6	is	be	AUX
eajbcs-1073	118	7	formulated	formulate	VERB
eajbcs-1073	118	8	in	in	ADP
eajbcs-1073	118	9	the	the	DET
eajbcs-1073	118	10	following	following	ADJ
eajbcs-1073	118	11	way	way	NOUN
eajbcs-1073	118	12	:	:	PUNCT
eajbcs-1073	118	13	(	(	PUNCT
eajbcs-1073	118	14	tsegaye	tsegaye	VERB
eajbcs-1073	118	15	et.al	et.al	ADJ
eajbcs-1073	118	16	.	.	PUNCT
eajbcs-1073	118	17	,	,	PUNCT
eajbcs-1073	118	18	2021	2021	NUM
eajbcs-1073	118	19	;	;	PUNCT
eajbcs-1073	118	20	razmi	razmi	NOUN
eajbcs-1073	118	21	et.al	et.al	PROPN
eajbcs-1073	118	22	,	,	PUNCT
eajbcs-1073	118	23	2016	2016	NUM
eajbcs-1073	118	24	)	)	PUNCT
eajbcs-1073	118	25	min	min	NOUN
eajbcs-1073	118	26	f(x	f(x	PROPN
eajbcs-1073	118	27	)	)	PUNCT
eajbcs-1073	118	28	=	=	PRON
eajbcs-1073	118	29	(	(	PUNCT
eajbcs-1073	118	30	f1(x	f1(x	NOUN
eajbcs-1073	118	31	)	)	PUNCT
eajbcs-1073	118	32	,	,	PUNCT
eajbcs-1073	118	33	f2(x	f2(x	PROPN
eajbcs-1073	118	34	)	)	PUNCT
eajbcs-1073	118	35	,	,	PUNCT
eajbcs-1073	118	36	f3(x	f3(x	NUM
eajbcs-1073	118	37	)	)	PUNCT
eajbcs-1073	118	38	.	.	PUNCT
eajbcs-1073	118	39	.	.	PUNCT
eajbcs-1073	119	1	.	.	PUNCT
eajbcs-1073	120	1	,	,	PUNCT
eajbcs-1073	120	2	fk(x	fk(x	PROPN
eajbcs-1073	120	3	)	)	PUNCT
eajbcs-1073	120	4	)	)	PUNCT
eajbcs-1073	121	1	t	t	PROPN
eajbcs-1073	121	2	subject	subject	NOUN
eajbcs-1073	121	3	to	to	ADP
eajbcs-1073	121	4	:	:	PUNCT
eajbcs-1073	121	5	x	x	PUNCT
eajbcs-1073	121	6	∈	∈	NOUN
eajbcs-1073	121	7	s	s	PART
eajbcs-1073	121	8	=	=	PUNCT
eajbcs-1073	121	9	{	{	PUNCT
eajbcs-1073	121	10	x	x	PUNCT
eajbcs-1073	121	11	∈	∈	PROPN
eajbcs-1073	121	12	ℜn	ℜn	PROPN
eajbcs-1073	121	13	gj(x	gj(x	PRON
eajbcs-1073	121	14	)	)	PUNCT
eajbcs-1073	121	15	(	(	PUNCT
eajbcs-1073	121	16	≤,≥,=	≤,≥,=	ADJ
eajbcs-1073	121	17	)	)	PUNCT
eajbcs-1073	121	18	0	0	NUM
eajbcs-1073	121	19	,	,	PUNCT
eajbcs-1073	121	20	j	j	PROPN
eajbcs-1073	121	21	=	=	SYM
eajbcs-1073	121	22	1	1	NUM
eajbcs-1073	121	23	,	,	PUNCT
eajbcs-1073	121	24	2	2	NUM
eajbcs-1073	121	25	,	,	PUNCT
eajbcs-1073	121	26	.	.	PUNCT
eajbcs-1073	121	27	.	.	PUNCT
eajbcs-1073	122	1	.	.	PUNCT
eajbcs-1073	123	1	,	,	PUNCT
eajbcs-1073	123	2	m	m	VERB
eajbcs-1073	123	3	xi	xi	X
eajbcs-1073	123	4	≥	≥	PROPN
eajbcs-1073	123	5	0	0	NUM
eajbcs-1073	123	6	,	,	PUNCT
eajbcs-1073	123	7	i	i	PRON
eajbcs-1073	123	8	=	=	NOUN
eajbcs-1073	123	9	1	1	NUM
eajbcs-1073	123	10	,	,	PUNCT
eajbcs-1073	123	11	2	2	NUM
eajbcs-1073	123	12	,	,	PUNCT
eajbcs-1073	123	13	.	.	PUNCT
eajbcs-1073	123	14	.	.	PUNCT
eajbcs-1073	123	15	.	.	PUNCT
eajbcs-1073	124	1	,	,	PUNCT
eajbcs-1073	124	2	n.	n.	NOUN
eajbcs-1073	124	3	}	}	PUNCT
eajbcs-1073	124	4	(	(	PUNCT
eajbcs-1073	124	5	1	1	X
eajbcs-1073	124	6	)	)	PUNCT
eajbcs-1073	124	7	definition	definition	NOUN
eajbcs-1073	124	8	2.2	2.2	NUM
eajbcs-1073	124	9	.	.	PUNCT
eajbcs-1073	125	1	(	(	PUNCT
eajbcs-1073	125	2	li	li	PROPN
eajbcs-1073	125	3	and	and	CCONJ
eajbcs-1073	125	4	hu	hu	PROPN
eajbcs-1073	125	5	,	,	PUNCT
eajbcs-1073	125	6	2009	2009	NUM
eajbcs-1073	125	7	)	)	PUNCT
eajbcs-1073	125	8	let	let	VERB
eajbcs-1073	125	9	a	a	DET
eajbcs-1073	125	10	vector	vector	NOUN
eajbcs-1073	125	11	x∗	x∗	PROPN
eajbcs-1073	125	12	∈	∈	PROPN
eajbcs-1073	125	13	s	s	AUX
eajbcs-1073	125	14	be	be	AUX
eajbcs-1073	125	15	a	a	DET
eajbcs-1073	125	16	feasible	feasible	ADJ
eajbcs-1073	125	17	solution	solution	NOUN
eajbcs-1073	125	18	to	to	ADP
eajbcs-1073	125	19	mopp	mopp	PROPN
eajbcs-1073	125	20	(	(	PUNCT
eajbcs-1073	125	21	1	1	NUM
eajbcs-1073	125	22	)	)	PUNCT
eajbcs-1073	125	23	.	.	PUNCT
eajbcs-1073	126	1	then	then	ADV
eajbcs-1073	126	2	�	�	PROPN
eajbcs-1073	126	3	x∗	x∗	PROPN
eajbcs-1073	126	4	is	be	AUX
eajbcs-1073	126	5	weakly	weakly	ADV
eajbcs-1073	126	6	pareto	pareto	ADJ
eajbcs-1073	126	7	-	-	PUNCT
eajbcs-1073	126	8	optimal	optimal	ADJ
eajbcs-1073	126	9	solution	solution	NOUN
eajbcs-1073	126	10	to	to	ADP
eajbcs-1073	126	11	mopp	mopp	PROPN
eajbcs-1073	126	12	(	(	PUNCT
eajbcs-1073	126	13	1	1	NUM
eajbcs-1073	126	14	)	)	PUNCT
eajbcs-1073	126	15	if	if	SCONJ
eajbcs-1073	126	16	there	there	PRON
eajbcs-1073	126	17	does	do	AUX
eajbcs-1073	126	18	n’t	not	PART
eajbcs-1073	126	19	exist	exist	VERB
eajbcs-1073	126	20	a	a	DET
eajbcs-1073	126	21	new	new	ADJ
eajbcs-1073	126	22	vector	vector	NOUN
eajbcs-1073	126	23	x	x	X
eajbcs-1073	126	24	∈	∈	NOUN
eajbcs-1073	126	25	s	s	VERB
eajbcs-1073	126	26	such	such	ADJ
eajbcs-1073	126	27	that	that	DET
eajbcs-1073	126	28	ft(x	ft(x	NOUN
eajbcs-1073	126	29	)	)	PUNCT
eajbcs-1073	126	30	<	<	X
eajbcs-1073	126	31	ft(x	ft(x	X
eajbcs-1073	126	32	∗	∗	NOUN
eajbcs-1073	126	33	)	)	PUNCT
eajbcs-1073	126	34	for	for	ADP
eajbcs-1073	126	35	all	all	DET
eajbcs-1073	126	36	t	t	NOUN
eajbcs-1073	126	37	=	=	SYM
eajbcs-1073	126	38	1	1	NUM
eajbcs-1073	126	39	,	,	PUNCT
eajbcs-1073	126	40	2	2	NUM
eajbcs-1073	126	41	,	,	PUNCT
eajbcs-1073	126	42	.	.	PUNCT
eajbcs-1073	126	43	.	.	PUNCT
eajbcs-1073	126	44	.	.	PUNCT
eajbcs-1073	127	1	,	,	PUNCT
eajbcs-1073	127	2	k.	k.	PROPN
eajbcs-1073	127	3	�	�	PROPN
eajbcs-1073	127	4	x∗	x∗	PROPN
eajbcs-1073	127	5	is	be	AUX
eajbcs-1073	127	6	pareto	pareto	ADJ
eajbcs-1073	127	7	-	-	PUNCT
eajbcs-1073	127	8	optimal	optimal	ADJ
eajbcs-1073	127	9	(	(	PUNCT
eajbcs-1073	127	10	efficient	efficient	ADJ
eajbcs-1073	127	11	)	)	PUNCT
eajbcs-1073	127	12	solution	solution	NOUN
eajbcs-1073	127	13	to	to	ADP
eajbcs-1073	127	14	mopp	mopp	PROPN
eajbcs-1073	127	15	(	(	PUNCT
eajbcs-1073	127	16	1	1	NUM
eajbcs-1073	127	17	)	)	PUNCT
eajbcs-1073	127	18	if	if	SCONJ
eajbcs-1073	127	19	there	there	PRON
eajbcs-1073	127	20	does	do	AUX
eajbcs-1073	127	21	n’t	not	PART
eajbcs-1073	127	22	exist	exist	VERB
eajbcs-1073	127	23	a	a	DET
eajbcs-1073	127	24	new	new	ADJ
eajbcs-1073	127	25	vector	vector	NOUN
eajbcs-1073	127	26	x	x	X
eajbcs-1073	127	27	∈	∈	NOUN
eajbcs-1073	127	28	s	s	VERB
eajbcs-1073	127	29	such	such	ADJ
eajbcs-1073	127	30	that	that	DET
eajbcs-1073	127	31	ft(x	ft(x	NOUN
eajbcs-1073	127	32	)	)	PUNCT
eajbcs-1073	127	33	≤	≤	NOUN
eajbcs-1073	127	34	ft(x	ft(x	NOUN
eajbcs-1073	127	35	∗	∗	NOUN
eajbcs-1073	127	36	)	)	PUNCT
eajbcs-1073	127	37	for	for	ADP
eajbcs-1073	127	38	all	all	DET
eajbcs-1073	127	39	t	t	NOUN
eajbcs-1073	127	40	=	=	SYM
eajbcs-1073	127	41	1	1	NUM
eajbcs-1073	127	42	,	,	PUNCT
eajbcs-1073	127	43	2	2	NUM
eajbcs-1073	127	44	,	,	PUNCT
eajbcs-1073	127	45	.	.	PUNCT
eajbcs-1073	127	46	.	.	PUNCT
eajbcs-1073	128	1	.	.	PUNCT
eajbcs-1073	129	1	,	,	PUNCT
eajbcs-1073	130	1	k	k	NOUN
eajbcs-1073	130	2	,	,	PUNCT
eajbcs-1073	130	3	and	and	CCONJ
eajbcs-1073	130	4	ft(x	ft(x	NOUN
eajbcs-1073	130	5	)	)	PUNCT
eajbcs-1073	130	6	<	<	X
eajbcs-1073	130	7	ft(x	ft(x	X
eajbcs-1073	130	8	∗	∗	NOUN
eajbcs-1073	130	9	)	)	PUNCT
eajbcs-1073	130	10	for	for	ADP
eajbcs-1073	130	11	some	some	DET
eajbcs-1073	130	12	t.	t.	NOUN
eajbcs-1073	130	13	any	any	DET
eajbcs-1073	130	14	pareto	pareto	VERB
eajbcs-1073	130	15	-	-	PUNCT
eajbcs-1073	130	16	optimal	optimal	ADJ
eajbcs-1073	130	17	solution	solution	NOUN
eajbcs-1073	130	18	is	be	AUX
eajbcs-1073	130	19	weakly	weakly	ADV
eajbcs-1073	130	20	pareto	pareto	ADJ
eajbcs-1073	130	21	-	-	PUNCT
eajbcs-1073	130	22	optimal	optimal	ADJ
eajbcs-1073	130	23	but	but	CCONJ
eajbcs-1073	130	24	the	the	DET
eajbcs-1073	130	25	converse	converse	NOUN
eajbcs-1073	130	26	is	be	AUX
eajbcs-1073	130	27	hold	hold	VERB
eajbcs-1073	130	28	for	for	ADP
eajbcs-1073	130	29	convex	convex	ADJ
eajbcs-1073	130	30	optimization	optimization	NOUN
eajbcs-1073	130	31	problem	problem	NOUN
eajbcs-1073	130	32	.	.	PUNCT
eajbcs-1073	131	1	assume	assume	VERB
eajbcs-1073	131	2	that	that	SCONJ
eajbcs-1073	131	3	the	the	DET
eajbcs-1073	131	4	feasible	feasible	ADJ
eajbcs-1073	131	5	set	set	NOUN
eajbcs-1073	131	6	s	s	PART
eajbcs-1073	131	7	̸=	̸=	PROPN
eajbcs-1073	131	8	ø	ø	PROPN
eajbcs-1073	131	9	(	(	PUNCT
eajbcs-1073	131	10	or	or	CCONJ
eajbcs-1073	131	11	z	z	NOUN
eajbcs-1073	131	12	=	=	PUNCT
eajbcs-1073	131	13	f(s	f(	NOUN
eajbcs-1073	131	14	)	)	PUNCT
eajbcs-1073	131	15	̸=	̸=	PROPN
eajbcs-1073	131	16	ø	ø	PROPN
eajbcs-1073	131	17	)	)	PUNCT
eajbcs-1073	131	18	is	be	AUX
eajbcs-1073	131	19	compact	compact	ADJ
eajbcs-1073	131	20	and	and	CCONJ
eajbcs-1073	131	21	ft(x),∀t	ft(x),∀t	NOUN
eajbcs-1073	131	22	,	,	PUNCT
eajbcs-1073	131	23	is	be	AUX
eajbcs-1073	131	24	continuous	continuous	ADJ
eajbcs-1073	131	25	to	to	PART
eajbcs-1073	131	26	unsure	unsure	VERB
eajbcs-1073	131	27	the	the	DET
eajbcs-1073	131	28	pareto	pareto	NOUN
eajbcs-1073	131	29	-	-	PUNCT
eajbcs-1073	131	30	optimal	optimal	ADJ
eajbcs-1073	131	31	is	be	AUX
eajbcs-1073	131	32	exist	exist	ADJ
eajbcs-1073	131	33	for	for	ADP
eajbcs-1073	131	34	mopp	mopp	X
eajbcs-1073	131	35	(	(	PUNCT
eajbcs-1073	131	36	1	1	NUM
eajbcs-1073	131	37	)	)	PUNCT
eajbcs-1073	131	38	.	.	PUNCT
eajbcs-1073	132	1	3	3	X
eajbcs-1073	132	2	.	.	X
eajbcs-1073	132	3	mathematical	mathematical	ADJ
eajbcs-1073	132	4	formulation	formulation	NOUN
eajbcs-1073	132	5	of	of	ADP
eajbcs-1073	132	6	problem	problem	NOUN
eajbcs-1073	132	7	3.1	3.1	NUM
eajbcs-1073	132	8	.	.	PUNCT
eajbcs-1073	133	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	133	2	fuzzy	fuzzy	ADJ
eajbcs-1073	133	3	multiobjective	multiobjective	ADJ
eajbcs-1073	133	4	linear	linear	ADJ
eajbcs-1073	133	5	decision	decision	NOUN
eajbcs-1073	133	6	-	-	PUNCT
eajbcs-1073	133	7	making	make	VERB
eajbcs-1073	133	8	problem	problem	NOUN
eajbcs-1073	133	9	consider	consider	VERB
eajbcs-1073	133	10	mathematical	mathematical	ADJ
eajbcs-1073	133	11	formulation	formulation	NOUN
eajbcs-1073	133	12	of	of	ADP
eajbcs-1073	133	13	intuitionistic	intuitionistic	ADJ
eajbcs-1073	133	14	fuzzy	fuzzy	ADJ
eajbcs-1073	133	15	multi	multi	ADJ
eajbcs-1073	133	16	-	-	ADJ
eajbcs-1073	133	17	objective	objective	ADJ
eajbcs-1073	133	18	linear	linear	ADJ
eajbcs-1073	133	19	decision	decision	NOUN
eajbcs-1073	133	20	-	-	PUNCT
eajbcs-1073	133	21	making	make	VERB
eajbcs-1073	133	22	problem	problem	NOUN
eajbcs-1073	133	23	(	(	PUNCT
eajbcs-1073	133	24	if	if	SCONJ
eajbcs-1073	133	25	-	-	PUNCT
eajbcs-1073	133	26	moldmp	moldmp	NOUN
eajbcs-1073	133	27	)	)	PUNCT
eajbcs-1073	133	28	can	can	AUX
eajbcs-1073	133	29	be	be	AUX
eajbcs-1073	133	30	represented	represent	VERB
eajbcs-1073	133	31	as	as	ADP
eajbcs-1073	133	32	:	:	PUNCT
eajbcs-1073	133	33	(	(	PUNCT
eajbcs-1073	133	34	rukmani	rukmani	ADJ
eajbcs-1073	133	35	and	and	CCONJ
eajbcs-1073	133	36	porchelvi	porchelvi	ADJ
eajbcs-1073	133	37	,	,	PUNCT
eajbcs-1073	133	38	2018a	2018a	NUM
eajbcs-1073	133	39	;	;	PUNCT
eajbcs-1073	133	40	basumatary	basumatary	ADJ
eajbcs-1073	133	41	and	and	CCONJ
eajbcs-1073	133	42	mitra	mitra	PROPN
eajbcs-1073	133	43	,	,	PUNCT
eajbcs-1073	133	44	2022	2022	NUM
eajbcs-1073	133	45	;	;	PUNCT
eajbcs-1073	133	46	garai	garai	PROPN
eajbcs-1073	133	47	et.al	et.al	PROPN
eajbcs-1073	133	48	.	.	PROPN
eajbcs-1073	133	49	,	,	PUNCT
eajbcs-1073	133	50	2015	2015	NUM
eajbcs-1073	133	51	)	)	PUNCT
eajbcs-1073	133	52	m̃ax	m̃ax	NOUN
eajbcs-1073	133	53	(	(	PUNCT
eajbcs-1073	133	54	m̃in	m̃in	PROPN
eajbcs-1073	133	55	)	)	PUNCT
eajbcs-1073	133	56	f̃	f̃	PROPN
eajbcs-1073	134	1	i	i	PRON
eajbcs-1073	134	2	t	t	PROPN
eajbcs-1073	134	3	(	(	PUNCT
eajbcs-1073	134	4	x	x	X
eajbcs-1073	134	5	)	)	PUNCT
eajbcs-1073	134	6	=	=	PUNCT
eajbcs-1073	135	1	cx+	cx+	NOUN
eajbcs-1073	135	2	d	d	NOUN
eajbcs-1073	135	3	,	,	PUNCT
eajbcs-1073	135	4	t	t	NOUN
eajbcs-1073	135	5	=	=	SYM
eajbcs-1073	135	6	1	1	NUM
eajbcs-1073	135	7	,	,	PUNCT
eajbcs-1073	135	8	2	2	NUM
eajbcs-1073	135	9	,	,	PUNCT
eajbcs-1073	135	10	.	.	PUNCT
eajbcs-1073	135	11	.	.	PUNCT
eajbcs-1073	135	12	.	.	PUNCT
eajbcs-1073	136	1	,	,	PUNCT
eajbcs-1073	137	1	k	k	PROPN
eajbcs-1073	137	2	subject	subject	ADJ
eajbcs-1073	137	3	to	to	ADP
eajbcs-1073	137	4	:	:	PUNCT
eajbcs-1073	137	5	x	x	SYM
eajbcs-1073	137	6	∈	∈	NOUN
eajbcs-1073	137	7	s̃i	s̃i	INTJ
eajbcs-1073	137	8	=	=	PRON
eajbcs-1073	137	9	{	{	PUNCT
eajbcs-1073	137	10	x	x	PUNCT
eajbcs-1073	137	11	∈	∈	PROPN
eajbcs-1073	137	12	ℜn	ℜn	PROPN
eajbcs-1073	137	13	:	:	PUNCT
eajbcs-1073	137	14	g̃ii	g̃ii	PROPN
eajbcs-1073	137	15	(	(	PUNCT
eajbcs-1073	137	16	x	x	X
eajbcs-1073	137	17	)	)	PUNCT
eajbcs-1073	137	18	(	(	PUNCT
eajbcs-1073	137	19	≤̃	≤̃	NOUN
eajbcs-1073	137	20	,	,	PUNCT
eajbcs-1073	137	21	≥̃,≈	≥̃,≈	NOUN
eajbcs-1073	137	22	)	)	PUNCT
eajbcs-1073	137	23	bi	bi	NOUN
eajbcs-1073	137	24	,	,	PUNCT
eajbcs-1073	137	25	x	x	X
eajbcs-1073	137	26	≥	≥	NOUN
eajbcs-1073	137	27	0	0	NUM
eajbcs-1073	137	28	}	}	PUNCT
eajbcs-1073	137	29	,	,	PUNCT
eajbcs-1073	137	30	(	(	PUNCT
eajbcs-1073	137	31	2	2	X
eajbcs-1073	137	32	)	)	PUNCT
eajbcs-1073	137	33	where	where	SCONJ
eajbcs-1073	137	34	c	c	PROPN
eajbcs-1073	137	35	∈	∈	PROPN
eajbcs-1073	137	36	ℜk×n	ℜk×n	PROPN
eajbcs-1073	137	37	,	,	PUNCT
eajbcs-1073	137	38	dt	dt	PUNCT
eajbcs-1073	137	39	∈	∈	PROPN
eajbcs-1073	138	1	ℜk	ℜk	NOUN
eajbcs-1073	138	2	are	be	AUX
eajbcs-1073	138	3	deterministic	deterministic	ADJ
eajbcs-1073	138	4	parameters	parameter	NOUN
eajbcs-1073	138	5	and	and	CCONJ
eajbcs-1073	138	6	the	the	DET
eajbcs-1073	138	7	right	right	ADJ
eajbcs-1073	138	8	-	-	PUNCT
eajbcs-1073	138	9	hand	hand	NOUN
eajbcs-1073	138	10	quantity	quantity	NOUN
eajbcs-1073	138	11	is	be	AUX
eajbcs-1073	138	12	bi	bi	PROPN
eajbcs-1073	138	13	∈	∈	PROPN
eajbcs-1073	138	14	ℜ	ℜ	PROPN
eajbcs-1073	138	15	,	,	PUNCT
eajbcs-1073	138	16	i	i	PRON
eajbcs-1073	138	17	=	=	NOUN
eajbcs-1073	138	18	1	1	NUM
eajbcs-1073	138	19	,	,	PUNCT
eajbcs-1073	138	20	2	2	NUM
eajbcs-1073	138	21	,	,	PUNCT
eajbcs-1073	138	22	.	.	PUNCT
eajbcs-1073	138	23	.	.	PUNCT
eajbcs-1073	138	24	.	.	PUNCT
eajbcs-1073	139	1	,	,	PUNCT
eajbcs-1073	139	2	m.	m.	NOUN
eajbcs-1073	139	3	the	the	DET
eajbcs-1073	139	4	if	if	NOUN
eajbcs-1073	139	5	-	-	PUNCT
eajbcs-1073	139	6	version	version	NOUN
eajbcs-1073	139	7	of	of	ADP
eajbcs-1073	139	8	classical	classical	ADJ
eajbcs-1073	139	9	inequality≤,≥	inequality≤,≥	ADJ
eajbcs-1073	139	10	and	and	CCONJ
eajbcs-1073	139	11	equality	equality	NOUN
eajbcs-1073	139	12	=	=	PUNCT
eajbcs-1073	139	13	in	in	ADP
eajbcs-1073	139	14	the	the	DET
eajbcs-1073	139	15	model	model	NOUN
eajbcs-1073	139	16	(	(	PUNCT
eajbcs-1073	139	17	1	1	X
eajbcs-1073	139	18	)	)	PUNCT
eajbcs-1073	139	19	are	be	AUX
eajbcs-1073	139	20	given	give	VERB
eajbcs-1073	139	21	as	as	ADP
eajbcs-1073	139	22	≤̃	≤̃	NOUN
eajbcs-1073	139	23	,	,	PUNCT
eajbcs-1073	139	24	≥̃	≥̃	X
eajbcs-1073	139	25	and	and	CCONJ
eajbcs-1073	139	26	≈	≈	PROPN
eajbcs-1073	139	27	,	,	PUNCT
eajbcs-1073	139	28	respectively	respectively	ADV
eajbcs-1073	139	29	.	.	PUNCT
eajbcs-1073	140	1	the	the	DET
eajbcs-1073	140	2	function	function	NOUN
eajbcs-1073	140	3	f̃	f̃	PROPN
eajbcs-1073	140	4	i	i	PRON
eajbcs-1073	140	5	t	t	PROPN
eajbcs-1073	140	6	(	(	PUNCT
eajbcs-1073	140	7	x	x	NOUN
eajbcs-1073	140	8	)	)	PUNCT
eajbcs-1073	140	9	and	and	CCONJ
eajbcs-1073	140	10	g̃ii	g̃ii	PROPN
eajbcs-1073	140	11	(	(	PUNCT
eajbcs-1073	140	12	x	x	X
eajbcs-1073	140	13	)	)	PUNCT
eajbcs-1073	140	14	are	be	AUX
eajbcs-1073	140	15	if	if	SCONJ
eajbcs-1073	140	16	linear	linear	PROPN
eajbcs-1073	140	17	objective	objective	NOUN
eajbcs-1073	140	18	and	and	CCONJ
eajbcs-1073	140	19	constraints	constraint	NOUN
eajbcs-1073	140	20	,	,	PUNCT
eajbcs-1073	140	21	respectively	respectively	ADV
eajbcs-1073	140	22	due	due	ADP
eajbcs-1073	140	23	to	to	ADP
eajbcs-1073	140	24	they	they	PRON
eajbcs-1073	140	25	have	have	VERB
eajbcs-1073	140	26	if	if	SCONJ
eajbcs-1073	140	27	aspiration	aspiration	NOUN
eajbcs-1073	140	28	levels	level	NOUN
eajbcs-1073	140	29	set	set	VERB
eajbcs-1073	140	30	by	by	ADP
eajbcs-1073	140	31	decision	decision	NOUN
eajbcs-1073	140	32	-	-	PUNCT
eajbcs-1073	140	33	makers	maker	NOUN
eajbcs-1073	140	34	(	(	PUNCT
eajbcs-1073	140	35	dms	dms	PROPN
eajbcs-1073	140	36	)	)	PUNCT
eajbcs-1073	140	37	.	.	PUNCT
eajbcs-1073	141	1	s̃i	s̃i	PROPN
eajbcs-1073	141	2	is	be	AUX
eajbcs-1073	141	3	if	if	SCONJ
eajbcs-1073	141	4	feasible	feasible	ADJ
eajbcs-1073	141	5	convex	convex	NOUN
eajbcs-1073	141	6	region	region	NOUN
eajbcs-1073	141	7	.	.	PUNCT
eajbcs-1073	142	1	3.2	3.2	NUM
eajbcs-1073	142	2	.	.	PUNCT
eajbcs-1073	143	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	143	2	fuzzy	fuzzy	ADJ
eajbcs-1073	143	3	goal	goal	NOUN
eajbcs-1073	143	4	model	model	NOUN
eajbcs-1073	143	5	of	of	ADP
eajbcs-1073	143	6	if	if	SCONJ
eajbcs-1073	143	7	-	-	PUNCT
eajbcs-1073	143	8	moldmp	moldmp	NOUN
eajbcs-1073	143	9	in	in	ADP
eajbcs-1073	143	10	many	many	ADJ
eajbcs-1073	143	11	real	real	ADJ
eajbcs-1073	143	12	-	-	PUNCT
eajbcs-1073	143	13	life	life	NOUN
eajbcs-1073	143	14	applications	application	NOUN
eajbcs-1073	143	15	,	,	PUNCT
eajbcs-1073	143	16	the	the	DET
eajbcs-1073	143	17	decision	decision	NOUN
eajbcs-1073	143	18	-	-	PUNCT
eajbcs-1073	143	19	maker	maker	NOUN
eajbcs-1073	143	20	is	be	AUX
eajbcs-1073	143	21	allowed	allow	VERB
eajbcs-1073	143	22	to	to	PART
eajbcs-1073	143	23	specify	specify	VERB
eajbcs-1073	143	24	an	an	DET
eajbcs-1073	143	25	imprecise	imprecise	ADJ
eajbcs-1073	143	26	aspiration	aspiration	NOUN
eajbcs-1073	143	27	-	-	PUNCT
eajbcs-1073	143	28	level	level	NOUN
eajbcs-1073	143	29	for	for	ADP
eajbcs-1073	143	30	each	each	PRON
eajbcs-1073	143	31	of	of	ADP
eajbcs-1073	143	32	the	the	DET
eajbcs-1073	143	33	constraint	constraint	NOUN
eajbcs-1073	143	34	and	and	CCONJ
eajbcs-1073	143	35	objectives	objective	NOUN
eajbcs-1073	143	36	function	function	VERB
eajbcs-1073	143	37	in	in	ADP
eajbcs-1073	143	38	ifmoldmp	ifmoldmp	NOUN
eajbcs-1073	143	39	(	(	PUNCT
eajbcs-1073	143	40	2	2	NUM
eajbcs-1073	143	41	)	)	PUNCT
eajbcs-1073	143	42	.	.	PUNCT
eajbcs-1073	144	1	a	a	DET
eajbcs-1073	144	2	goal	goal	NOUN
eajbcs-1073	144	3	with	with	ADP
eajbcs-1073	144	4	an	an	DET
eajbcs-1073	144	5	imprecise	imprecise	ADJ
eajbcs-1073	144	6	east	east	PROPN
eajbcs-1073	144	7	afr	afr	PROPN
eajbcs-1073	144	8	.	.	PUNCT
eajbcs-1073	145	1	j.	j.	PROPN
eajbcs-1073	145	2	biophys	biophys	PROPN
eajbcs-1073	145	3	.	.	PUNCT
eajbcs-1073	146	1	comput	comput	NOUN
eajbcs-1073	146	2	.	.	PUNCT
eajbcs-1073	147	1	sci	sci	PROPN
eajbcs-1073	147	2	.	.	PUNCT
eajbcs-1073	148	1	(	(	PUNCT
eajbcs-1073	148	2	2024	2024	NUM
eajbcs-1073	148	3	)	)	PUNCT
eajbcs-1073	148	4	,	,	PUNCT
eajbcs-1073	148	5	vol	vol	NOUN
eajbcs-1073	148	6	.	.	PROPN
eajbcs-1073	148	7	5	5	NUM
eajbcs-1073	148	8	,	,	PUNCT
eajbcs-1073	148	9	no	no	INTJ
eajbcs-1073	148	10	.	.	NOUN
eajbcs-1073	148	11	2	2	NUM
eajbcs-1073	148	12	,	,	PUNCT
eajbcs-1073	148	13	41	41	NUM
eajbcs-1073	148	14	-	-	SYM
eajbcs-1073	148	15	57	57	NUM
eajbcs-1073	148	16	45	45	NUM
eajbcs-1073	148	17	aspiration	aspiration	NOUN
eajbcs-1073	148	18	-	-	PUNCT
eajbcs-1073	148	19	level	level	NOUN
eajbcs-1073	148	20	for	for	ADP
eajbcs-1073	148	21	an	an	DET
eajbcs-1073	148	22	if	if	SCONJ
eajbcs-1073	148	23	objective	objective	ADJ
eajbcs-1073	148	24	and	and	CCONJ
eajbcs-1073	148	25	constraints	constraint	NOUN
eajbcs-1073	148	26	can	can	AUX
eajbcs-1073	148	27	be	be	AUX
eajbcs-1073	148	28	treated	treat	VERB
eajbcs-1073	148	29	as	as	ADP
eajbcs-1073	148	30	an	an	DET
eajbcs-1073	148	31	intuitionistic	intuitionistic	ADJ
eajbcs-1073	148	32	fuzzy	fuzzy	ADJ
eajbcs-1073	148	33	goal	goal	NOUN
eajbcs-1073	148	34	(	(	PUNCT
eajbcs-1073	148	35	ifg	ifg	PROPN
eajbcs-1073	148	36	)	)	PUNCT
eajbcs-1073	148	37	in	in	ADP
eajbcs-1073	148	38	the	the	DET
eajbcs-1073	148	39	ifde	ifde	NOUN
eajbcs-1073	148	40	.	.	PUNCT
eajbcs-1073	149	1	let	let	VERB
eajbcs-1073	149	2	d̃i	d̃i	ADV
eajbcs-1073	149	3	=	=	PUNCT
eajbcs-1073	149	4	{	{	PUNCT
eajbcs-1073	149	5	f̃	f̃	PROPN
eajbcs-1073	149	6	i	i	PRON
eajbcs-1073	149	7	1	1	NUM
eajbcs-1073	149	8	(	(	PUNCT
eajbcs-1073	149	9	x	x	NOUN
eajbcs-1073	149	10	)	)	PUNCT
eajbcs-1073	149	11	,	,	PUNCT
eajbcs-1073	149	12	f̃	f̃	PROPN
eajbcs-1073	149	13	i	i	PRON
eajbcs-1073	149	14	2	2	NUM
eajbcs-1073	149	15	(	(	PUNCT
eajbcs-1073	149	16	x	x	NOUN
eajbcs-1073	149	17	)	)	PUNCT
eajbcs-1073	149	18	,	,	PUNCT
eajbcs-1073	149	19	.	.	PUNCT
eajbcs-1073	149	20	.	.	PUNCT
eajbcs-1073	150	1	.	.	PUNCT
eajbcs-1073	151	1	,	,	PUNCT
eajbcs-1073	151	2	f̃	f̃	PROPN
eajbcs-1073	151	3	i	i	PRON
eajbcs-1073	151	4	k	k	PROPN
eajbcs-1073	151	5	s	s	AUX
eajbcs-1073	151	6	}	}	PUNCT
eajbcs-1073	151	7	be	be	AUX
eajbcs-1073	151	8	a	a	DET
eajbcs-1073	151	9	set	set	NOUN
eajbcs-1073	151	10	of	of	ADP
eajbcs-1073	151	11	ifgs	ifgs	NOUN
eajbcs-1073	151	12	,	,	PUNCT
eajbcs-1073	151	13	having	have	VERB
eajbcs-1073	151	14	maximization	maximization	NOUN
eajbcs-1073	151	15	(	(	PUNCT
eajbcs-1073	151	16	m1	m1	NOUN
eajbcs-1073	151	17	)	)	PUNCT
eajbcs-1073	151	18	with	with	ADP
eajbcs-1073	151	19	aspiration	aspiration	NOUN
eajbcs-1073	151	20	-	-	PUNCT
eajbcs-1073	151	21	level	level	NOUN
eajbcs-1073	151	22	f̄t	f̄t	PROPN
eajbcs-1073	151	23	for	for	ADP
eajbcs-1073	151	24	t	t	PROPN
eajbcs-1073	151	25	∈	∈	PROPN
eajbcs-1073	151	26	m1	m1	PROPN
eajbcs-1073	151	27	,	,	PUNCT
eajbcs-1073	151	28	ḡi	ḡi	PROPN
eajbcs-1073	151	29	for	for	ADP
eajbcs-1073	151	30	i	i	PROPN
eajbcs-1073	151	31	∈	∈	PROPN
eajbcs-1073	151	32	n1	n1	NOUN
eajbcs-1073	151	33	and	and	CCONJ
eajbcs-1073	151	34	minimization	minimization	NOUN
eajbcs-1073	151	35	(	(	PUNCT
eajbcs-1073	151	36	m2	m2	PROPN
eajbcs-1073	151	37	)	)	PUNCT
eajbcs-1073	151	38	with	with	ADP
eajbcs-1073	151	39	aspiration	aspiration	NOUN
eajbcs-1073	151	40	-	-	PUNCT
eajbcs-1073	151	41	level	level	NOUN
eajbcs-1073	151	42	f	f	PROPN
eajbcs-1073	151	43	t	t	PROPN
eajbcs-1073	151	44	for	for	ADP
eajbcs-1073	151	45	t	t	PROPN
eajbcs-1073	151	46	∈	∈	PROPN
eajbcs-1073	151	47	m2	m2	PROPN
eajbcs-1073	151	48	,	,	PUNCT
eajbcs-1073	151	49	gi	gi	VERB
eajbcs-1073	151	50	for	for	ADP
eajbcs-1073	151	51	i	i	PROPN
eajbcs-1073	151	52	∈	∈	PROPN
eajbcs-1073	151	53	n2	n2	NOUN
eajbcs-1073	151	54	for	for	ADP
eajbcs-1073	151	55	type	type	NOUN
eajbcs-1073	151	56	of	of	ADP
eajbcs-1073	151	57	ifgs	ifgs	NOUN
eajbcs-1073	151	58	.	.	PUNCT
eajbcs-1073	152	1	hence	hence	ADV
eajbcs-1073	152	2	,	,	PUNCT
eajbcs-1073	152	3	to	to	PART
eajbcs-1073	152	4	determine	determine	VERB
eajbcs-1073	152	5	the	the	DET
eajbcs-1073	152	6	crisp/	crisp/	NUM
eajbcs-1073	152	7	deterministic	deterministic	ADJ
eajbcs-1073	152	8	optimal	optimal	ADJ
eajbcs-1073	152	9	solution	solution	NOUN
eajbcs-1073	152	10	,	,	PUNCT
eajbcs-1073	152	11	we	we	PRON
eajbcs-1073	152	12	need	need	VERB
eajbcs-1073	152	13	(	(	PUNCT
eajbcs-1073	152	14	x	x	NOUN
eajbcs-1073	152	15	)	)	PUNCT
eajbcs-1073	152	16	,	,	PUNCT
eajbcs-1073	152	17	g̃1	g̃1	NOUN
eajbcs-1073	152	18	i	i	PRON
eajbcs-1073	152	19	(	(	PUNCT
eajbcs-1073	152	20	x	x	NOUN
eajbcs-1073	152	21	)	)	PUNCT
eajbcs-1073	152	22	,	,	PUNCT
eajbcs-1073	152	23	g̃2	g̃2	PROPN
eajbcs-1073	152	24	i	i	PRON
eajbcs-1073	152	25	(	(	PUNCT
eajbcs-1073	152	26	x	x	NOUN
eajbcs-1073	152	27	)	)	PUNCT
eajbcs-1073	152	28	,	,	PUNCT
eajbcs-1073	152	29	.	.	PUNCT
eajbcs-1073	152	30	.	.	PUNCT
eajbcs-1073	152	31	.	.	PUNCT
eajbcs-1073	153	1	,	,	PUNCT
eajbcs-1073	153	2	g̃im(x)|x	g̃im(x)|x	VERB
eajbcs-1073	153	3	∈	∈	PROPN
eajbcs-1073	153	4	to	to	PART
eajbcs-1073	153	5	formulate	formulate	VERB
eajbcs-1073	153	6	the	the	DET
eajbcs-1073	153	7	ifg	ifg	NOUN
eajbcs-1073	153	8	model	model	NOUN
eajbcs-1073	153	9	of	of	ADP
eajbcs-1073	153	10	if	if	SCONJ
eajbcs-1073	153	11	-	-	PUNCT
eajbcs-1073	153	12	moldmp	moldmp	NOUN
eajbcs-1073	153	13	(	(	PUNCT
eajbcs-1073	153	14	2	2	NUM
eajbcs-1073	153	15	)	)	PUNCT
eajbcs-1073	153	16	as	as	ADP
eajbcs-1073	153	17	:	:	PUNCT
eajbcs-1073	153	18	(	(	PUNCT
eajbcs-1073	153	19	moges	moge	NOUN
eajbcs-1073	153	20	et	et	PROPN
eajbcs-1073	153	21	al	al	PROPN
eajbcs-1073	153	22	.	.	PROPN
eajbcs-1073	153	23	,	,	PUNCT
eajbcs-1073	153	24	2023a	2023a	NUM
eajbcs-1073	153	25	;	;	PUNCT
eajbcs-1073	153	26	razmi	razmi	NOUN
eajbcs-1073	153	27	et.al	et.al	PROPN
eajbcs-1073	153	28	,	,	PUNCT
eajbcs-1073	153	29	2016	2016	NUM
eajbcs-1073	153	30	)	)	PUNCT
eajbcs-1073	153	31	determine	determine	NOUN
eajbcs-1073	153	32	:	:	PUNCT
eajbcs-1073	153	33	x	x	SYM
eajbcs-1073	153	34	∈	∈	PROPN
eajbcs-1073	153	35	s̃i	s̃i	PRON
eajbcs-1073	153	36	subject	subject	ADJ
eajbcs-1073	153	37	to	to	ADP
eajbcs-1073	153	38	:	:	PUNCT
eajbcs-1073	153	39	{	{	PUNCT
eajbcs-1073	153	40	ft(x	ft(x	NOUN
eajbcs-1073	153	41	)	)	PUNCT
eajbcs-1073	153	42	≥̃	≥̃	X
eajbcs-1073	153	43	f̄t	f̄t	PROPN
eajbcs-1073	153	44	,	,	PUNCT
eajbcs-1073	153	45	gi(x	gi(x	PROPN
eajbcs-1073	153	46	)	)	PUNCT
eajbcs-1073	153	47	≥̃	≥̃	PUNCT
eajbcs-1073	153	48	ḡi	ḡi	PROPN
eajbcs-1073	153	49	for	for	ADP
eajbcs-1073	153	50	t	t	PROPN
eajbcs-1073	153	51	∈	∈	PROPN
eajbcs-1073	153	52	m1	m1	NOUN
eajbcs-1073	153	53	,	,	PUNCT
eajbcs-1073	153	54	i	i	PRON
eajbcs-1073	153	55	∈	∈	VERB
eajbcs-1073	153	56	n1	n1	NOUN
eajbcs-1073	153	57	ft(x	ft(x	NOUN
eajbcs-1073	153	58	)	)	PUNCT
eajbcs-1073	154	1	≤̃	≤̃	NOUN
eajbcs-1073	154	2	f	f	PROPN
eajbcs-1073	154	3	t	t	PROPN
eajbcs-1073	154	4	,	,	PUNCT
eajbcs-1073	154	5	gi(x	gi(x	PROPN
eajbcs-1073	154	6	)	)	PUNCT
eajbcs-1073	154	7	≤̃	≤̃	NOUN
eajbcs-1073	154	8	g	g	PROPN
eajbcs-1073	155	1	i	i	PRON
eajbcs-1073	155	2	for	for	ADP
eajbcs-1073	155	3	t	t	PROPN
eajbcs-1073	155	4	∈	∈	PROPN
eajbcs-1073	155	5	m2	m2	PROPN
eajbcs-1073	155	6	,	,	PUNCT
eajbcs-1073	155	7	i	i	PROPN
eajbcs-1073	155	8	∈	∈	PROPN
eajbcs-1073	155	9	n2	n2	NOUN
eajbcs-1073	155	10	(	(	PUNCT
eajbcs-1073	155	11	3	3	NUM
eajbcs-1073	155	12	)	)	PUNCT
eajbcs-1073	155	13	in	in	ADP
eajbcs-1073	155	14	order	order	NOUN
eajbcs-1073	155	15	to	to	PART
eajbcs-1073	155	16	find	find	VERB
eajbcs-1073	155	17	a	a	DET
eajbcs-1073	155	18	p	p	NOUN
eajbcs-1073	155	19	areto	areto	ADV
eajbcs-1073	155	20	-	-	PUNCT
eajbcs-1073	155	21	optimal	optimal	ADJ
eajbcs-1073	155	22	solution	solution	NOUN
eajbcs-1073	155	23	for	for	ADP
eajbcs-1073	155	24	if	if	SCONJ
eajbcs-1073	155	25	-	-	PUNCT
eajbcs-1073	155	26	moldmp	moldmp	NOUN
eajbcs-1073	155	27	(	(	PUNCT
eajbcs-1073	155	28	2	2	NUM
eajbcs-1073	155	29	)	)	PUNCT
eajbcs-1073	155	30	in	in	ADP
eajbcs-1073	155	31	the	the	DET
eajbcs-1073	155	32	ifde	ifde	NOUN
eajbcs-1073	155	33	,	,	PUNCT
eajbcs-1073	155	34	we	we	PRON
eajbcs-1073	155	35	need	need	VERB
eajbcs-1073	155	36	to	to	PART
eajbcs-1073	155	37	determine	determine	VERB
eajbcs-1073	155	38	a	a	DET
eajbcs-1073	155	39	solution	solution	NOUN
eajbcs-1073	155	40	that	that	PRON
eajbcs-1073	155	41	simultaneously	simultaneously	ADV
eajbcs-1073	155	42	maximizes	maximize	VERB
eajbcs-1073	155	43	the	the	DET
eajbcs-1073	155	44	level	level	NOUN
eajbcs-1073	155	45	of	of	ADP
eajbcs-1073	155	46	satisfaction/	satisfaction/	NUM
eajbcs-1073	155	47	membership	membership	NOUN
eajbcs-1073	155	48	µt(ft(x	µt(ft(x	PROPN
eajbcs-1073	155	49	)	)	PUNCT
eajbcs-1073	155	50	)	)	PUNCT
eajbcs-1073	155	51	,	,	PUNCT
eajbcs-1073	155	52	µi(gi(x	µi(gi(x	X
eajbcs-1073	155	53	)	)	PUNCT
eajbcs-1073	155	54	)	)	PUNCT
eajbcs-1073	155	55	and	and	CCONJ
eajbcs-1073	155	56	minimizes	minimize	VERB
eajbcs-1073	155	57	the	the	DET
eajbcs-1073	155	58	level	level	NOUN
eajbcs-1073	155	59	of	of	ADP
eajbcs-1073	155	60	dissatisfaction/	dissatisfaction/	NOUN
eajbcs-1073	155	61	nonmembership	nonmembership	NOUN
eajbcs-1073	155	62	νt(ft(x	νt(ft(x	NOUN
eajbcs-1073	155	63	)	)	PUNCT
eajbcs-1073	155	64	)	)	PUNCT
eajbcs-1073	155	65	,	,	PUNCT
eajbcs-1073	155	66	νi(gi(x	νi(gi(x	PROPN
eajbcs-1073	155	67	)	)	PUNCT
eajbcs-1073	155	68	)	)	PUNCT
eajbcs-1073	155	69	of	of	ADP
eajbcs-1073	155	70	the	the	DET
eajbcs-1073	155	71	ifgs	ifgs	NOUN
eajbcs-1073	155	72	under	under	ADP
eajbcs-1073	155	73	the	the	DET
eajbcs-1073	155	74	given	give	VERB
eajbcs-1073	155	75	feasible	feasible	ADJ
eajbcs-1073	155	76	region	region	NOUN
eajbcs-1073	155	77	,	,	PUNCT
eajbcs-1073	155	78	x	x	PUNCT
eajbcs-1073	155	79	∈	∈	NOUN
eajbcs-1073	155	80	s	s	PART
eajbcs-1073	155	81	,	,	PUNCT
eajbcs-1073	155	82	according	accord	VERB
eajbcs-1073	155	83	to	to	ADP
eajbcs-1073	155	84	angelov	angelov	NOUN
eajbcs-1073	155	85	(	(	PUNCT
eajbcs-1073	155	86	1995	1995	NUM
eajbcs-1073	155	87	)	)	PUNCT
eajbcs-1073	155	88	stated	state	VERB
eajbcs-1073	155	89	.	.	PUNCT
eajbcs-1073	156	1	based	base	VERB
eajbcs-1073	156	2	on	on	ADP
eajbcs-1073	156	3	this	this	DET
eajbcs-1073	156	4	idea	idea	NOUN
eajbcs-1073	156	5	,	,	PUNCT
eajbcs-1073	156	6	the	the	DET
eajbcs-1073	156	7	pareto	pareto	NOUN
eajbcs-1073	156	8	-	-	PUNCT
eajbcs-1073	156	9	optimal	optimal	ADJ
eajbcs-1073	156	10	and	and	CCONJ
eajbcs-1073	156	11	mn	mn	NOUN
eajbcs-1073	156	12	paretooptimal	paretooptimal	ADJ
eajbcs-1073	156	13	solution	solution	NOUN
eajbcs-1073	156	14	of	of	ADP
eajbcs-1073	156	15	if	if	SCONJ
eajbcs-1073	156	16	-	-	PUNCT
eajbcs-1073	156	17	moldmp	moldmp	NOUN
eajbcs-1073	156	18	(	(	PUNCT
eajbcs-1073	156	19	2	2	NUM
eajbcs-1073	156	20	)	)	PUNCT
eajbcs-1073	156	21	are	be	AUX
eajbcs-1073	156	22	defined	define	VERB
eajbcs-1073	156	23	as	as	SCONJ
eajbcs-1073	156	24	follows	follow	VERB
eajbcs-1073	156	25	:	:	PUNCT
eajbcs-1073	156	26	definition	definition	NOUN
eajbcs-1073	156	27	3.1	3.1	NUM
eajbcs-1073	156	28	.	.	PUNCT
eajbcs-1073	157	1	(	(	PUNCT
eajbcs-1073	157	2	razmi	razmi	ADV
eajbcs-1073	157	3	et.al	et.al	ADJ
eajbcs-1073	157	4	,	,	PUNCT
eajbcs-1073	157	5	2016	2016	NUM
eajbcs-1073	157	6	;	;	PUNCT
eajbcs-1073	157	7	tsegaye	tsegaye	VERB
eajbcs-1073	157	8	et.al	et.al	ADJ
eajbcs-1073	157	9	.	.	PUNCT
eajbcs-1073	157	10	,	,	PUNCT
eajbcs-1073	157	11	2021	2021	NUM
eajbcs-1073	157	12	)	)	PUNCT
eajbcs-1073	157	13	a	a	DET
eajbcs-1073	157	14	solution	solution	NOUN
eajbcs-1073	157	15	vector	vector	NOUN
eajbcs-1073	157	16	x∗	x∗	PROPN
eajbcs-1073	157	17	∈	∈	PROPN
eajbcs-1073	157	18	s̃i	s̃i	PRON
eajbcs-1073	157	19	is	be	AUX
eajbcs-1073	157	20	said	say	VERB
eajbcs-1073	157	21	to	to	PART
eajbcs-1073	157	22	be	be	AUX
eajbcs-1073	157	23	a	a	DET
eajbcs-1073	157	24	pareto	pareto	NOUN
eajbcs-1073	157	25	-	-	PUNCT
eajbcs-1073	157	26	optimal	optimal	ADJ
eajbcs-1073	157	27	to	to	ADP
eajbcs-1073	157	28	if	if	SCONJ
eajbcs-1073	157	29	-	-	PUNCT
eajbcs-1073	157	30	moldmp	moldmp	NOUN
eajbcs-1073	157	31	(	(	PUNCT
eajbcs-1073	157	32	2	2	X
eajbcs-1073	157	33	)	)	PUNCT
eajbcs-1073	157	34	if	if	SCONJ
eajbcs-1073	157	35	there	there	PRON
eajbcs-1073	157	36	is	be	VERB
eajbcs-1073	157	37	no	no	DET
eajbcs-1073	157	38	new	new	ADJ
eajbcs-1073	157	39	-	-	PUNCT
eajbcs-1073	157	40	vector	vector	NOUN
eajbcs-1073	157	41	x	x	SYM
eajbcs-1073	157	42	∈	∈	NOUN
eajbcs-1073	157	43	s̃i	s̃i	NUM
eajbcs-1073	157	44	such	such	ADJ
eajbcs-1073	157	45	that	that	SCONJ
eajbcs-1073	157	46	f̃	f̃	PROPN
eajbcs-1073	157	47	i	i	PRON
eajbcs-1073	157	48	t	t	PROPN
eajbcs-1073	157	49	(	(	PUNCT
eajbcs-1073	157	50	x)≤̃f̃	x)≤̃f̃	PROPN
eajbcs-1073	158	1	i	i	PRON
eajbcs-1073	158	2	t	t	PROPN
eajbcs-1073	158	3	(	(	PUNCT
eajbcs-1073	158	4	x	x	NOUN
eajbcs-1073	158	5	∗	∗	NOUN
eajbcs-1073	158	6	)	)	PUNCT
eajbcs-1073	158	7	∧	∧	NOUN
eajbcs-1073	158	8	µi(gi(x	µi(gi(x	NUM
eajbcs-1073	158	9	)	)	PUNCT
eajbcs-1073	158	10	)	)	PUNCT
eajbcs-1073	158	11	≥	≥	PROPN
eajbcs-1073	158	12	µi(gi(x	µi(gi(x	NUM
eajbcs-1073	158	13	∗	∗	NOUN
eajbcs-1073	158	14	)	)	PUNCT
eajbcs-1073	158	15	)	)	PUNCT
eajbcs-1073	159	1	∧	∧	PROPN
eajbcs-1073	159	2	νi(gi(x	νi(gi(x	NUM
eajbcs-1073	159	3	)	)	PUNCT
eajbcs-1073	159	4	)	)	PUNCT
eajbcs-1073	159	5	≤	≤	NUM
eajbcs-1073	159	6	νi(gi(x	νi(gi(x	NUM
eajbcs-1073	159	7	)	)	PUNCT
eajbcs-1073	159	8	∗),∀t	∗),∀t	PUNCT
eajbcs-1073	160	1	=	=	SYM
eajbcs-1073	160	2	1	1	NUM
eajbcs-1073	160	3	,	,	PUNCT
eajbcs-1073	160	4	2	2	NUM
eajbcs-1073	160	5	,	,	PUNCT
eajbcs-1073	160	6	.	.	PUNCT
eajbcs-1073	160	7	.	.	PUNCT
eajbcs-1073	160	8	.	.	PUNCT
eajbcs-1073	161	1	,	,	PUNCT
eajbcs-1073	161	2	k,∀i	k,∀i	PROPN
eajbcs-1073	161	3	=	=	SYM
eajbcs-1073	161	4	1	1	NUM
eajbcs-1073	161	5	,	,	PUNCT
eajbcs-1073	161	6	2	2	NUM
eajbcs-1073	161	7	,	,	PUNCT
eajbcs-1073	161	8	.	.	PUNCT
eajbcs-1073	161	9	.	.	PUNCT
eajbcs-1073	161	10	.	.	PUNCT
eajbcs-1073	162	1	,	,	PUNCT
eajbcs-1073	162	2	m	m	PROPN
eajbcs-1073	162	3	,	,	PUNCT
eajbcs-1073	162	4	f̃	f̃	PROPN
eajbcs-1073	162	5	i	i	PRON
eajbcs-1073	162	6	t	t	PROPN
eajbcs-1073	163	1	(	(	PUNCT
eajbcs-1073	163	2	x)<̃f̃	x)<̃f̃	INTJ
eajbcs-1073	163	3	i	i	PRON
eajbcs-1073	163	4	t	t	PROPN
eajbcs-1073	163	5	(	(	PUNCT
eajbcs-1073	163	6	x	x	NOUN
eajbcs-1073	163	7	∗	∗	NOUN
eajbcs-1073	163	8	)	)	PUNCT
eajbcs-1073	163	9	∨	∨	NUM
eajbcs-1073	163	10	µi(gi(x	µi(gi(x	NUM
eajbcs-1073	163	11	)	)	PUNCT
eajbcs-1073	163	12	)	)	PUNCT
eajbcs-1073	163	13	>	>	X
eajbcs-1073	164	1	µi(gi(x	µi(gi(x	PUNCT
eajbcs-1073	164	2	∗	∗	NOUN
eajbcs-1073	164	3	)	)	PUNCT
eajbcs-1073	164	4	)	)	PUNCT
eajbcs-1073	164	5	∨	∨	NUM
eajbcs-1073	164	6	νi(gi(x	νi(gi(x	NUM
eajbcs-1073	164	7	)	)	PUNCT
eajbcs-1073	164	8	)	)	PUNCT
eajbcs-1073	165	1	<	<	X
eajbcs-1073	165	2	νi(gi(x	νi(gi(x	NOUN
eajbcs-1073	165	3	)	)	PUNCT
eajbcs-1073	165	4	∗	∗	NOUN
eajbcs-1073	165	5	)	)	PUNCT
eajbcs-1073	165	6	,	,	PUNCT
eajbcs-1073	165	7	for	for	ADP
eajbcs-1073	165	8	some	some	DET
eajbcs-1073	165	9	t	t	NOUN
eajbcs-1073	165	10	∈	∈	PROPN
eajbcs-1073	165	11	{	{	PUNCT
eajbcs-1073	165	12	1	1	NUM
eajbcs-1073	165	13	,	,	PUNCT
eajbcs-1073	165	14	2	2	NUM
eajbcs-1073	165	15	,	,	PUNCT
eajbcs-1073	165	16	.	.	PUNCT
eajbcs-1073	165	17	.	.	PUNCT
eajbcs-1073	165	18	.	.	PUNCT
eajbcs-1073	166	1	,	,	PUNCT
eajbcs-1073	166	2	k	k	X
eajbcs-1073	166	3	}	}	PUNCT
eajbcs-1073	166	4	,	,	PUNCT
eajbcs-1073	166	5	i	i	PRON
eajbcs-1073	166	6	∈	∈	PROPN
eajbcs-1073	166	7	{	{	PUNCT
eajbcs-1073	166	8	1	1	NUM
eajbcs-1073	166	9	,	,	PUNCT
eajbcs-1073	166	10	2	2	NUM
eajbcs-1073	166	11	,	,	PUNCT
eajbcs-1073	166	12	.	.	PUNCT
eajbcs-1073	166	13	.	.	PUNCT
eajbcs-1073	166	14	.	.	PUNCT
eajbcs-1073	167	1	,	,	PUNCT
eajbcs-1073	167	2	m	m	VERB
eajbcs-1073	167	3	}	}	PUNCT
eajbcs-1073	167	4	.	.	PUNCT
eajbcs-1073	168	1	definition	definition	NOUN
eajbcs-1073	168	2	3.2	3.2	NUM
eajbcs-1073	168	3	.	.	PUNCT
eajbcs-1073	169	1	(	(	PUNCT
eajbcs-1073	169	2	jafarian	jafarian	PROPN
eajbcs-1073	169	3	et.al	et.al	PROPN
eajbcs-1073	169	4	.	.	PROPN
eajbcs-1073	169	5	,	,	PUNCT
eajbcs-1073	169	6	2018	2018	NUM
eajbcs-1073	169	7	;	;	PUNCT
eajbcs-1073	169	8	razmi	razmi	NOUN
eajbcs-1073	169	9	et.al	et.al	PROPN
eajbcs-1073	169	10	,	,	PUNCT
eajbcs-1073	169	11	2016	2016	NUM
eajbcs-1073	169	12	)	)	PUNCT
eajbcs-1073	169	13	a	a	DET
eajbcs-1073	169	14	solution	solution	NOUN
eajbcs-1073	169	15	vector	vector	NOUN
eajbcs-1073	169	16	x∗	x∗	PROPN
eajbcs-1073	169	17	∈	∈	PROPN
eajbcs-1073	170	1	s̃i	s̃i	PRON
eajbcs-1073	170	2	is	be	AUX
eajbcs-1073	170	3	said	say	VERB
eajbcs-1073	170	4	to	to	PART
eajbcs-1073	170	5	be	be	AUX
eajbcs-1073	170	6	a	a	DET
eajbcs-1073	170	7	mn	mn	NOUN
eajbcs-1073	170	8	pareto	pareto	VERB
eajbcs-1073	170	9	-	-	PUNCT
eajbcs-1073	170	10	optimal	optimal	ADJ
eajbcs-1073	170	11	solution	solution	NOUN
eajbcs-1073	170	12	to	to	ADP
eajbcs-1073	170	13	if	if	SCONJ
eajbcs-1073	170	14	-	-	PUNCT
eajbcs-1073	170	15	moldmp	moldmp	NOUN
eajbcs-1073	170	16	(	(	PUNCT
eajbcs-1073	170	17	2	2	X
eajbcs-1073	170	18	)	)	PUNCT
eajbcs-1073	170	19	if	if	SCONJ
eajbcs-1073	170	20	there	there	PRON
eajbcs-1073	170	21	does	do	AUX
eajbcs-1073	170	22	n’t	not	PART
eajbcs-1073	170	23	exists	exist	VERB
eajbcs-1073	170	24	another	another	DET
eajbcs-1073	170	25	vector	vector	NOUN
eajbcs-1073	170	26	x	x	PART
eajbcs-1073	170	27	∈	∈	NOUN
eajbcs-1073	170	28	s̃i	s̃i	NUM
eajbcs-1073	171	1	such	such	ADJ
eajbcs-1073	171	2	that	that	SCONJ
eajbcs-1073	171	3	µt(ft(x	µt(ft(x	PROPN
eajbcs-1073	171	4	)	)	PUNCT
eajbcs-1073	171	5	)	)	PUNCT
eajbcs-1073	171	6	≥	≥	AUX
eajbcs-1073	171	7	µt(ft(x	µt(ft(x	ADJ
eajbcs-1073	171	8	∗	∗	NOUN
eajbcs-1073	171	9	)	)	PUNCT
eajbcs-1073	171	10	)	)	PUNCT
eajbcs-1073	172	1	∧	∧	NOUN
eajbcs-1073	172	2	νt(ft(x	νt(ft(x	NOUN
eajbcs-1073	172	3	)	)	PUNCT
eajbcs-1073	172	4	)	)	PUNCT
eajbcs-1073	172	5	≤	≤	NUM
eajbcs-1073	172	6	νt(ft(x	νt(ft(x	NOUN
eajbcs-1073	172	7	)	)	PUNCT
eajbcs-1073	172	8	∗	∗	NOUN
eajbcs-1073	172	9	)	)	PUNCT
eajbcs-1073	172	10	∧	∧	NOUN
eajbcs-1073	172	11	µi(gi(x	µi(gi(x	NUM
eajbcs-1073	172	12	)	)	PUNCT
eajbcs-1073	172	13	)	)	PUNCT
eajbcs-1073	172	14	≥	≥	PROPN
eajbcs-1073	172	15	µi(gi(x	µi(gi(x	NUM
eajbcs-1073	172	16	∗	∗	NOUN
eajbcs-1073	172	17	)	)	PUNCT
eajbcs-1073	172	18	)	)	PUNCT
eajbcs-1073	173	1	∧	∧	PROPN
eajbcs-1073	173	2	νi(gi(x	νi(gi(x	NUM
eajbcs-1073	173	3	)	)	PUNCT
eajbcs-1073	173	4	)	)	PUNCT
eajbcs-1073	173	5	≤	≤	NUM
eajbcs-1073	173	6	νi(gi(x	νi(gi(x	NUM
eajbcs-1073	173	7	)	)	PUNCT
eajbcs-1073	173	8	∗),∀t	∗),∀t	PUNCT
eajbcs-1073	174	1	=	=	SYM
eajbcs-1073	174	2	1	1	NUM
eajbcs-1073	174	3	,	,	PUNCT
eajbcs-1073	174	4	2	2	NUM
eajbcs-1073	174	5	,	,	PUNCT
eajbcs-1073	174	6	.	.	PUNCT
eajbcs-1073	174	7	.	.	PUNCT
eajbcs-1073	174	8	.	.	PUNCT
eajbcs-1073	175	1	,	,	PUNCT
eajbcs-1073	175	2	k,∀i	k,∀i	PROPN
eajbcs-1073	175	3	=	=	SYM
eajbcs-1073	175	4	1	1	NUM
eajbcs-1073	175	5	,	,	PUNCT
eajbcs-1073	175	6	2	2	NUM
eajbcs-1073	175	7	,	,	PUNCT
eajbcs-1073	175	8	.	.	PUNCT
eajbcs-1073	175	9	.	.	PUNCT
eajbcs-1073	175	10	.	.	PUNCT
eajbcs-1073	176	1	,	,	PUNCT
eajbcs-1073	176	2	m	m	PROPN
eajbcs-1073	176	3	,	,	PUNCT
eajbcs-1073	176	4	and	and	CCONJ
eajbcs-1073	176	5	strictly	strictly	ADV
eajbcs-1073	176	6	inequality	inequality	NOUN
eajbcs-1073	176	7	holds	hold	VERB
eajbcs-1073	176	8	for	for	ADP
eajbcs-1073	176	9	some	some	DET
eajbcs-1073	176	10	t	t	NOUN
eajbcs-1073	176	11	or	or	CCONJ
eajbcs-1073	176	12	i.	i.	PROPN
eajbcs-1073	176	13	4	4	NUM
eajbcs-1073	176	14	.	.	PUNCT
eajbcs-1073	176	15	proposed	propose	VERB
eajbcs-1073	176	16	solution	solution	NOUN
eajbcs-1073	176	17	method	method	NOUN
eajbcs-1073	176	18	4.1	4.1	NUM
eajbcs-1073	176	19	.	.	PUNCT
eajbcs-1073	177	1	extended	extend	VERB
eajbcs-1073	177	2	yager	yager	NOUN
eajbcs-1073	177	3	-	-	PUNCT
eajbcs-1073	177	4	membership	membership	NOUN
eajbcs-1073	177	5	function	function	NOUN
eajbcs-1073	177	6	in	in	ADP
eajbcs-1073	177	7	the	the	DET
eajbcs-1073	177	8	ifde	ifde	NOUN
eajbcs-1073	177	9	in	in	ADP
eajbcs-1073	177	10	the	the	DET
eajbcs-1073	177	11	ifde	ifde	NOUN
eajbcs-1073	177	12	,	,	PUNCT
eajbcs-1073	177	13	the	the	DET
eajbcs-1073	177	14	nadir	nadir	NOUN
eajbcs-1073	177	15	and	and	CCONJ
eajbcs-1073	177	16	ideal	ideal	ADJ
eajbcs-1073	177	17	points	point	NOUN
eajbcs-1073	177	18	are	be	AUX
eajbcs-1073	177	19	useful	useful	ADJ
eajbcs-1073	177	20	for	for	ADP
eajbcs-1073	177	21	estimating	estimate	VERB
eajbcs-1073	177	22	the	the	DET
eajbcs-1073	177	23	range	range	NOUN
eajbcs-1073	177	24	of	of	ADP
eajbcs-1073	177	25	degrees	degree	NOUN
eajbcs-1073	177	26	of	of	ADP
eajbcs-1073	177	27	satisfying	satisfying	ADJ
eajbcs-1073	177	28	(	(	PUNCT
eajbcs-1073	177	29	membership	membership	NOUN
eajbcs-1073	177	30	)	)	PUNCT
eajbcs-1073	177	31	and	and	CCONJ
eajbcs-1073	177	32	rejection	rejection	NOUN
eajbcs-1073	177	33	(	(	PUNCT
eajbcs-1073	177	34	non	non	ADJ
eajbcs-1073	177	35	-	-	NOUN
eajbcs-1073	177	36	membership	membership	NOUN
eajbcs-1073	177	37	)	)	PUNCT
eajbcs-1073	177	38	for	for	ADP
eajbcs-1073	177	39	the	the	DET
eajbcs-1073	177	40	objective	objective	ADJ
eajbcs-1073	177	41	function	function	NOUN
eajbcs-1073	177	42	in	in	ADP
eajbcs-1073	177	43	the	the	DET
eajbcs-1073	177	44	if	if	NOUN
eajbcs-1073	177	45	-	-	PUNCT
eajbcs-1073	177	46	moldmp	moldmp	NOUN
eajbcs-1073	177	47	(	(	PUNCT
eajbcs-1073	177	48	2	2	NUM
eajbcs-1073	177	49	)	)	PUNCT
eajbcs-1073	177	50	.	.	PUNCT
eajbcs-1073	178	1	to	to	PART
eajbcs-1073	178	2	determine	determine	VERB
eajbcs-1073	178	3	nadir	nadir	NOUN
eajbcs-1073	178	4	and	and	CCONJ
eajbcs-1073	178	5	ideal	ideal	ADJ
eajbcs-1073	178	6	points	point	NOUN
eajbcs-1073	178	7	,	,	PUNCT
eajbcs-1073	178	8	we	we	PRON
eajbcs-1073	178	9	need	need	VERB
eajbcs-1073	178	10	to	to	PART
eajbcs-1073	178	11	find	find	VERB
eajbcs-1073	178	12	the	the	DET
eajbcs-1073	178	13	optimal	optimal	ADJ
eajbcs-1073	178	14	solution	solution	NOUN
eajbcs-1073	178	15	for	for	ADP
eajbcs-1073	178	16	each	each	DET
eajbcs-1073	178	17	objective	objective	ADJ
eajbcs-1073	178	18	function	function	NOUN
eajbcs-1073	178	19	ft(x	ft(x	NOUN
eajbcs-1073	178	20	)	)	PUNCT
eajbcs-1073	178	21	subject	subject	NOUN
eajbcs-1073	178	22	to	to	ADP
eajbcs-1073	178	23	the	the	DET
eajbcs-1073	178	24	given	give	VERB
eajbcs-1073	178	25	set	set	NOUN
eajbcs-1073	178	26	of	of	ADP
eajbcs-1073	178	27	constraints	constraint	NOUN
eajbcs-1073	178	28	.	.	PUNCT
eajbcs-1073	179	1	that	that	PRON
eajbcs-1073	179	2	means	mean	VERB
eajbcs-1073	179	3	solving	solve	VERB
eajbcs-1073	179	4	the	the	DET
eajbcs-1073	179	5	following	follow	VERB
eajbcs-1073	179	6	problem	problem	NOUN
eajbcs-1073	179	7	independently	independently	ADV
eajbcs-1073	179	8	:	:	PUNCT
eajbcs-1073	179	9	min	min	NOUN
eajbcs-1073	179	10	ft(x	ft(x	X
eajbcs-1073	179	11	)	)	PUNCT
eajbcs-1073	179	12	subject	subject	ADJ
eajbcs-1073	179	13	to	to	ADP
eajbcs-1073	179	14	x	x	SYM
eajbcs-1073	179	15	∈	∈	PROPN
eajbcs-1073	179	16	s	s	X
eajbcs-1073	179	17	for	for	ADP
eajbcs-1073	179	18	t	t	NOUN
eajbcs-1073	179	19	=	=	SYM
eajbcs-1073	179	20	1	1	NUM
eajbcs-1073	179	21	,	,	PUNCT
eajbcs-1073	179	22	2	2	NUM
eajbcs-1073	179	23	,	,	PUNCT
eajbcs-1073	179	24	3	3	NUM
eajbcs-1073	179	25	,	,	PUNCT
eajbcs-1073	179	26	.	.	PUNCT
eajbcs-1073	179	27	.	.	PUNCT
eajbcs-1073	180	1	.	.	PUNCT
eajbcs-1073	181	1	,	,	PUNCT
eajbcs-1073	181	2	k	k	X
eajbcs-1073	181	3	(	(	PUNCT
eajbcs-1073	181	4	4	4	X
eajbcs-1073	181	5	)	)	PUNCT
eajbcs-1073	181	6	the	the	DET
eajbcs-1073	181	7	solution	solution	NOUN
eajbcs-1073	181	8	obtained	obtain	VERB
eajbcs-1073	181	9	from	from	ADP
eajbcs-1073	181	10	model	model	NOUN
eajbcs-1073	181	11	(	(	PUNCT
eajbcs-1073	181	12	4	4	NUM
eajbcs-1073	181	13	)	)	PUNCT
eajbcs-1073	181	14	we	we	PRON
eajbcs-1073	181	15	call	call	VERB
eajbcs-1073	181	16	as	as	SCONJ
eajbcs-1073	181	17	xb	xb	PROPN
eajbcs-1073	181	18	t	t	PROPN
eajbcs-1073	181	19	is	be	AUX
eajbcs-1073	181	20	best	good	ADJ
eajbcs-1073	181	21	solution	solution	NOUN
eajbcs-1073	181	22	,	,	PUNCT
eajbcs-1073	181	23	zb	zb	PROPN
eajbcs-1073	181	24	t	t	NOUN
eajbcs-1073	181	25	=	=	SYM
eajbcs-1073	181	26	ft(x	ft(x	X
eajbcs-1073	181	27	b	b	PROPN
eajbcs-1073	181	28	t	t	PROPN
eajbcs-1073	181	29	)	)	PUNCT
eajbcs-1073	181	30	is	be	AUX
eajbcs-1073	181	31	objective	objective	ADJ
eajbcs-1073	181	32	value	value	NOUN
eajbcs-1073	181	33	or	or	CCONJ
eajbcs-1073	181	34	aspiration	aspiration	NOUN
eajbcs-1073	181	35	-	-	PUNCT
eajbcs-1073	181	36	level	level	NOUN
eajbcs-1073	181	37	for	for	ADP
eajbcs-1073	181	38	each	each	DET
eajbcs-1073	181	39	t.	t.	NOUN
eajbcs-1073	181	40	zid	zid	X
eajbcs-1073	181	41	=	=	PUNCT
eajbcs-1073	181	42	(	(	PUNCT
eajbcs-1073	181	43	zb	zb	PROPN
eajbcs-1073	181	44	1	1	NUM
eajbcs-1073	181	45	,	,	PUNCT
eajbcs-1073	181	46	z	z	PROPN
eajbcs-1073	181	47	b	b	PROPN
eajbcs-1073	181	48	2	2	NUM
eajbcs-1073	181	49	,	,	PUNCT
eajbcs-1073	181	50	.	.	PUNCT
eajbcs-1073	181	51	.	.	PUNCT
eajbcs-1073	182	1	.	.	PUNCT
eajbcs-1073	183	1	,	,	PUNCT
eajbcs-1073	183	2	z	z	PROPN
eajbcs-1073	183	3	b	b	X
eajbcs-1073	183	4	k	k	PROPN
eajbcs-1073	183	5	)	)	PUNCT
eajbcs-1073	183	6	is	be	AUX
eajbcs-1073	183	7	an	an	DET
eajbcs-1073	183	8	ideal	ideal	ADJ
eajbcs-1073	183	9	point	point	NOUN
eajbcs-1073	183	10	and	and	CCONJ
eajbcs-1073	183	11	znad	znad	NOUN
eajbcs-1073	183	12	=	=	SYM
eajbcs-1073	183	13	(	(	PUNCT
eajbcs-1073	183	14	z̄1	z̄1	PROPN
eajbcs-1073	183	15	,	,	PUNCT
eajbcs-1073	183	16	z̄2	z̄2	PROPN
eajbcs-1073	183	17	,	,	PUNCT
eajbcs-1073	183	18	.	.	PUNCT
eajbcs-1073	183	19	.	.	PUNCT
eajbcs-1073	184	1	.	.	PUNCT
eajbcs-1073	185	1	,	,	PUNCT
eajbcs-1073	185	2	z̄k	z̄k	NOUN
eajbcs-1073	185	3	)	)	PUNCT
eajbcs-1073	185	4	is	be	AUX
eajbcs-1073	185	5	nadir	nadir	NOUN
eajbcs-1073	185	6	point	point	NOUN
eajbcs-1073	185	7	of	of	ADP
eajbcs-1073	185	8	ifmoldmp	ifmoldmp	NOUN
eajbcs-1073	185	9	(	(	PUNCT
eajbcs-1073	185	10	2	2	NUM
eajbcs-1073	185	11	)	)	PUNCT
eajbcs-1073	185	12	where	where	SCONJ
eajbcs-1073	185	13	,	,	PUNCT
eajbcs-1073	185	14	z̄t	z̄t	PROPN
eajbcs-1073	185	15	=	=	PUNCT
eajbcs-1073	185	16	max	max	PROPN
eajbcs-1073	185	17	x∈p	x∈p	PROPN
eajbcs-1073	185	18	∗	∗	NOUN
eajbcs-1073	185	19	ft(x	ft(x	NOUN
eajbcs-1073	185	20	)	)	PUNCT
eajbcs-1073	185	21	,	,	PUNCT
eajbcs-1073	185	22	p	p	NOUN
eajbcs-1073	185	23	∗	∗	NOUN
eajbcs-1073	185	24	is	be	AUX
eajbcs-1073	185	25	pareto	pareto	VERB
eajbcs-1073	185	26	-	-	PUNCT
eajbcs-1073	185	27	optimal	optimal	ADJ
eajbcs-1073	185	28	set	set	NOUN
eajbcs-1073	185	29	.	.	PUNCT
eajbcs-1073	186	1	since	since	SCONJ
eajbcs-1073	186	2	p	p	NOUN
eajbcs-1073	186	3	∗	∗	X
eajbcs-1073	186	4	⊂	⊂	PROPN
eajbcs-1073	186	5	s	s	PART
eajbcs-1073	186	6	,	,	PUNCT
eajbcs-1073	186	7	we	we	PRON
eajbcs-1073	186	8	have	have	VERB
eajbcs-1073	186	9	max	max	PROPN
eajbcs-1073	186	10	x∈s	x∈s	PROPN
eajbcs-1073	186	11	ft(x	ft(x	PROPN
eajbcs-1073	186	12	)	)	PUNCT
eajbcs-1073	186	13	≥	≥	X
eajbcs-1073	186	14	z̄t,∀t	z̄t,∀t	NOUN
eajbcs-1073	186	15	=	=	SYM
eajbcs-1073	186	16	1	1	NUM
eajbcs-1073	186	17	,	,	PUNCT
eajbcs-1073	186	18	2	2	NUM
eajbcs-1073	186	19	,	,	PUNCT
eajbcs-1073	186	20	3	3	NUM
eajbcs-1073	186	21	,	,	PUNCT
eajbcs-1073	186	22	.	.	PUNCT
eajbcs-1073	186	23	.	.	PUNCT
eajbcs-1073	186	24	.	.	PUNCT
eajbcs-1073	187	1	k.	k.	PROPN
eajbcs-1073	188	1	due	due	ADP
eajbcs-1073	188	2	to	to	ADP
eajbcs-1073	188	3	the	the	DET
eajbcs-1073	188	4	difficulties	difficulty	NOUN
eajbcs-1073	188	5	in	in	ADP
eajbcs-1073	188	6	finding	find	VERB
eajbcs-1073	188	7	the	the	DET
eajbcs-1073	188	8	nadir	nadir	NOUN
eajbcs-1073	188	9	point	point	NOUN
eajbcs-1073	188	10	,	,	PUNCT
eajbcs-1073	188	11	some	some	DET
eajbcs-1073	188	12	scholars	scholar	NOUN
eajbcs-1073	188	13	suggested	suggest	VERB
eajbcs-1073	188	14	a	a	DET
eajbcs-1073	188	15	heuristicapproach	heuristicapproach	ADV
eajbcs-1073	188	16	called	call	VERB
eajbcs-1073	188	17	“	"	PUNCT
eajbcs-1073	188	18	payoff	payoff	NOUN
eajbcs-1073	188	19	matrix	matrix	NOUN
eajbcs-1073	188	20	”	"	PUNCT
eajbcs-1073	188	21	,	,	PUNCT
eajbcs-1073	188	22	but	but	CCONJ
eajbcs-1073	188	23	the	the	DET
eajbcs-1073	188	24	reeast	reeast	ADJ
eajbcs-1073	188	25	afr	afr	PROPN
eajbcs-1073	188	26	.	.	PUNCT
eajbcs-1073	189	1	j.	j.	PROPN
eajbcs-1073	189	2	biophys	biophys	PROPN
eajbcs-1073	189	3	.	.	PUNCT
eajbcs-1073	190	1	comput	comput	NOUN
eajbcs-1073	190	2	.	.	PUNCT
eajbcs-1073	191	1	sci	sci	PROPN
eajbcs-1073	191	2	.	.	PUNCT
eajbcs-1073	192	1	(	(	PUNCT
eajbcs-1073	192	2	2024	2024	NUM
eajbcs-1073	192	3	)	)	PUNCT
eajbcs-1073	192	4	,	,	PUNCT
eajbcs-1073	192	5	vol	vol	NOUN
eajbcs-1073	192	6	.	.	PROPN
eajbcs-1073	192	7	5	5	NUM
eajbcs-1073	192	8	,	,	PUNCT
eajbcs-1073	192	9	no	no	INTJ
eajbcs-1073	192	10	.	.	NOUN
eajbcs-1073	192	11	2	2	NUM
eajbcs-1073	192	12	,	,	PUNCT
eajbcs-1073	192	13	41	41	NUM
eajbcs-1073	192	14	-	-	SYM
eajbcs-1073	192	15	57	57	NUM
eajbcs-1073	192	16	46	46	NUM
eajbcs-1073	192	17	sult	sult	NOUN
eajbcs-1073	192	18	obtained	obtain	VERB
eajbcs-1073	192	19	by	by	ADP
eajbcs-1073	192	20	this	this	DET
eajbcs-1073	192	21	approach	approach	NOUN
eajbcs-1073	192	22	may	may	AUX
eajbcs-1073	192	23	be	be	AUX
eajbcs-1073	192	24	an	an	DET
eajbcs-1073	192	25	underestimation	underestimation	NOUN
eajbcs-1073	192	26	or	or	CCONJ
eajbcs-1073	192	27	overestimation	overestimation	NOUN
eajbcs-1073	192	28	of	of	ADP
eajbcs-1073	192	29	the	the	DET
eajbcs-1073	192	30	nadir	nadir	NOUN
eajbcs-1073	192	31	point	point	NOUN
eajbcs-1073	192	32	,	,	PUNCT
eajbcs-1073	192	33	isermann	isermann	PROPN
eajbcs-1073	192	34	and	and	CCONJ
eajbcs-1073	192	35	steuer	steuer	PROPN
eajbcs-1073	192	36	(	(	PUNCT
eajbcs-1073	192	37	1997	1997	NUM
eajbcs-1073	192	38	)	)	PUNCT
eajbcs-1073	192	39	.	.	PUNCT
eajbcs-1073	193	1	the	the	DET
eajbcs-1073	193	2	best	good	ADJ
eajbcs-1073	193	3	solution	solution	NOUN
eajbcs-1073	193	4	x̄b	x̄b	PROPN
eajbcs-1073	193	5	t	t	PROPN
eajbcs-1073	193	6	is	be	AUX
eajbcs-1073	193	7	used	use	VERB
eajbcs-1073	193	8	to	to	PART
eajbcs-1073	193	9	construct	construct	VERB
eajbcs-1073	193	10	the	the	DET
eajbcs-1073	193	11	payoff	payoff	NOUN
eajbcs-1073	193	12	matrix	matrix	NOUN
eajbcs-1073	193	13	as	as	ADP
eajbcs-1073	193	14	follows:	follows:	PROPN
eajbcs-1073	193	15	f1(x	f1(x	PROPN
eajbcs-1073	193	16	)	)	PUNCT
eajbcs-1073	193	17	f2(x	f2(x	NOUN
eajbcs-1073	193	18	)	)	PUNCT
eajbcs-1073	193	19	.	.	PUNCT
eajbcs-1073	193	20	.	.	PUNCT
eajbcs-1073	193	21	.	.	PUNCT
eajbcs-1073	194	1	fk(x	fk(x	NOUN
eajbcs-1073	194	2	)	)	PUNCT
eajbcs-1073	194	3	xb	xb	PROPN
eajbcs-1073	194	4	1	1	NUM
eajbcs-1073	194	5	f1(x	f1(x	PROPN
eajbcs-1073	194	6	b	b	NOUN
eajbcs-1073	194	7	1	1	NUM
eajbcs-1073	194	8	)	)	PUNCT
eajbcs-1073	195	1	f2(x	f2(x	PROPN
eajbcs-1073	195	2	b	b	PROPN
eajbcs-1073	195	3	1	1	NUM
eajbcs-1073	195	4	)	)	PUNCT
eajbcs-1073	195	5	.	.	PUNCT
eajbcs-1073	195	6	.	.	PUNCT
eajbcs-1073	195	7	.	.	PUNCT
eajbcs-1073	196	1	fk(x	fk(x	PROPN
eajbcs-1073	197	1	b	b	X
eajbcs-1073	197	2	1	1	NUM
eajbcs-1073	197	3	)	)	PUNCT
eajbcs-1073	197	4	xb	xb	PROPN
eajbcs-1073	197	5	2	2	NUM
eajbcs-1073	197	6	f1(x	f1(x	PROPN
eajbcs-1073	197	7	b	b	NOUN
eajbcs-1073	197	8	2	2	NUM
eajbcs-1073	197	9	)	)	PUNCT
eajbcs-1073	197	10	f2(x	f2(x	PROPN
eajbcs-1073	197	11	b	b	PROPN
eajbcs-1073	197	12	2	2	NUM
eajbcs-1073	197	13	)	)	PUNCT
eajbcs-1073	197	14	.	.	PUNCT
eajbcs-1073	197	15	.	.	PUNCT
eajbcs-1073	197	16	.	.	PUNCT
eajbcs-1073	198	1	fk(x	fk(x	PROPN
eajbcs-1073	199	1	b	b	X
eajbcs-1073	199	2	2	2	NUM
eajbcs-1073	199	3	)	)	PUNCT
eajbcs-1073	199	4	...	...	PUNCT
eajbcs-1073	199	5	...	...	PUNCT
eajbcs-1073	199	6	...	...	PUNCT
eajbcs-1073	199	7	.	.	PUNCT
eajbcs-1073	199	8	.	.	PUNCT
eajbcs-1073	199	9	.	.	PUNCT
eajbcs-1073	199	10	...	...	PUNCT
eajbcs-1073	200	1	xb	xb	X
eajbcs-1073	201	1	k	k	PROPN
eajbcs-1073	201	2	f1(x	f1(x	PROPN
eajbcs-1073	201	3	b	b	PROPN
eajbcs-1073	201	4	k	k	PROPN
eajbcs-1073	201	5	)	)	PUNCT
eajbcs-1073	202	1	f2(x	f2(x	PROPN
eajbcs-1073	202	2	b	b	X
eajbcs-1073	202	3	k	k	PROPN
eajbcs-1073	202	4	)	)	PUNCT
eajbcs-1073	202	5	.	.	PUNCT
eajbcs-1073	202	6	.	.	PUNCT
eajbcs-1073	202	7	.	.	PUNCT
eajbcs-1073	203	1	fk(x	fk(x	PROPN
eajbcs-1073	204	1	b	b	PROPN
eajbcs-1073	204	2	k	k	PROPN
eajbcs-1073	204	3	)	)	PUNCT
eajbcs-1073	204	4			NOUN
eajbcs-1073	204	5	(	(	PUNCT
eajbcs-1073	204	6	5	5	NUM
eajbcs-1073	204	7	)	)	PUNCT
eajbcs-1073	204	8	if	if	SCONJ
eajbcs-1073	204	9	the	the	DET
eajbcs-1073	204	10	best	good	ADJ
eajbcs-1073	204	11	solutions	solution	NOUN
eajbcs-1073	204	12	xb	xb	PROPN
eajbcs-1073	204	13	t	t	PROPN
eajbcs-1073	204	14	are	be	AUX
eajbcs-1073	204	15	unique	unique	ADJ
eajbcs-1073	204	16	for	for	ADP
eajbcs-1073	204	17	all	all	DET
eajbcs-1073	204	18	t	t	NOUN
eajbcs-1073	204	19	=	=	SYM
eajbcs-1073	204	20	1	1	NUM
eajbcs-1073	204	21	,	,	PUNCT
eajbcs-1073	204	22	2	2	NUM
eajbcs-1073	204	23	,	,	PUNCT
eajbcs-1073	204	24	3	3	NUM
eajbcs-1073	204	25	,	,	PUNCT
eajbcs-1073	204	26	.	.	PUNCT
eajbcs-1073	204	27	.	.	PUNCT
eajbcs-1073	204	28	.	.	PUNCT
eajbcs-1073	205	1	,	,	PUNCT
eajbcs-1073	205	2	k	k	NOUN
eajbcs-1073	205	3	,	,	PUNCT
eajbcs-1073	205	4	then	then	ADV
eajbcs-1073	205	5	the	the	DET
eajbcs-1073	205	6	payoff	payoff	NOUN
eajbcs-1073	205	7	matrix	matrix	NOUN
eajbcs-1073	205	8	approach	approach	NOUN
eajbcs-1073	205	9	will	will	AUX
eajbcs-1073	205	10	never	never	ADV
eajbcs-1073	205	11	overestimate	overestimate	VERB
eajbcs-1073	205	12	the	the	DET
eajbcs-1073	205	13	nadir	nadir	NOUN
eajbcs-1073	205	14	point	point	NOUN
eajbcs-1073	205	15	znad	znad	PROPN
eajbcs-1073	205	16	,	,	PUNCT
eajbcs-1073	205	17	(	(	PUNCT
eajbcs-1073	205	18	isermann	isermann	PROPN
eajbcs-1073	205	19	and	and	CCONJ
eajbcs-1073	205	20	steuer	steuer	PROPN
eajbcs-1073	205	21	,	,	PUNCT
eajbcs-1073	205	22	1997	1997	NUM
eajbcs-1073	205	23	)	)	PUNCT
eajbcs-1073	205	24	.	.	PUNCT
eajbcs-1073	206	1	however	however	ADV
eajbcs-1073	206	2	,	,	PUNCT
eajbcs-1073	206	3	if	if	SCONJ
eajbcs-1073	206	4	xb	xb	PROPN
eajbcs-1073	206	5	t	t	PROPN
eajbcs-1073	206	6	not	not	PART
eajbcs-1073	206	7	unique	unique	ADJ
eajbcs-1073	206	8	for	for	ADP
eajbcs-1073	206	9	at	at	ADV
eajbcs-1073	206	10	least	least	ADV
eajbcs-1073	206	11	one	one	NUM
eajbcs-1073	206	12	t	t	NOUN
eajbcs-1073	206	13	,	,	PUNCT
eajbcs-1073	206	14	max{ft(xb	max{ft(xb	X
eajbcs-1073	206	15	1	1	NUM
eajbcs-1073	206	16	)	)	PUNCT
eajbcs-1073	206	17	,	,	PUNCT
eajbcs-1073	206	18	ft(x	ft(x	X
eajbcs-1073	206	19	b	b	X
eajbcs-1073	206	20	2	2	NUM
eajbcs-1073	206	21	)	)	PUNCT
eajbcs-1073	206	22	,	,	PUNCT
eajbcs-1073	206	23	.	.	PUNCT
eajbcs-1073	206	24	.	.	PUNCT
eajbcs-1073	207	1	.	.	PUNCT
eajbcs-1073	208	1	,	,	PUNCT
eajbcs-1073	208	2	ft(x	ft(x	X
eajbcs-1073	208	3	b	b	X
eajbcs-1073	208	4	k	k	NOUN
eajbcs-1073	208	5	)	)	PUNCT
eajbcs-1073	208	6	}	}	PUNCT
eajbcs-1073	208	7	may	may	AUX
eajbcs-1073	208	8	overestimate	overestimate	VERB
eajbcs-1073	208	9	the	the	DET
eajbcs-1073	208	10	nadir	nadir	NOUN
eajbcs-1073	208	11	point	point	NOUN
eajbcs-1073	208	12	.	.	PUNCT
eajbcs-1073	209	1	when	when	SCONJ
eajbcs-1073	209	2	a	a	DET
eajbcs-1073	209	3	component	component	NOUN
eajbcs-1073	209	4	of	of	ADP
eajbcs-1073	209	5	the	the	DET
eajbcs-1073	209	6	nadir	nadir	NOUN
eajbcs-1073	209	7	point	point	NOUN
eajbcs-1073	209	8	for	for	ADP
eajbcs-1073	209	9	an	an	DET
eajbcs-1073	209	10	optimization	optimization	NOUN
eajbcs-1073	209	11	problem	problem	NOUN
eajbcs-1073	209	12	is	be	AUX
eajbcs-1073	209	13	underestimated	underestimate	VERB
eajbcs-1073	209	14	or	or	CCONJ
eajbcs-1073	209	15	overestimated	overestimate	VERB
eajbcs-1073	209	16	in	in	ADP
eajbcs-1073	209	17	an	an	DET
eajbcs-1073	209	18	ifde	ifde	NOUN
eajbcs-1073	209	19	,	,	PUNCT
eajbcs-1073	209	20	it	it	PRON
eajbcs-1073	209	21	may	may	AUX
eajbcs-1073	209	22	result	result	VERB
eajbcs-1073	209	23	in	in	ADP
eajbcs-1073	209	24	unnecessary	unnecessary	ADJ
eajbcs-1073	209	25	information	information	NOUN
eajbcs-1073	209	26	about	about	ADP
eajbcs-1073	209	27	the	the	DET
eajbcs-1073	209	28	pareto	pareto	VERB
eajbcs-1073	209	29	-	-	PUNCT
eajbcs-1073	209	30	optimal	optimal	ADJ
eajbcs-1073	209	31	solution	solution	NOUN
eajbcs-1073	209	32	,	,	PUNCT
eajbcs-1073	209	33	and	and	CCONJ
eajbcs-1073	209	34	decision	decision	NOUN
eajbcs-1073	209	35	-	-	PUNCT
eajbcs-1073	209	36	makers	maker	NOUN
eajbcs-1073	209	37	use	use	VERB
eajbcs-1073	209	38	a	a	DET
eajbcs-1073	209	39	wide	wide	ADJ
eajbcs-1073	209	40	-	-	PUNCT
eajbcs-1073	209	41	range	range	NOUN
eajbcs-1073	209	42	.	.	PUNCT
eajbcs-1073	210	1	if	if	SCONJ
eajbcs-1073	210	2	the	the	DET
eajbcs-1073	210	3	model	model	NOUN
eajbcs-1073	210	4	(	(	PUNCT
eajbcs-1073	210	5	4	4	X
eajbcs-1073	210	6	)	)	PUNCT
eajbcs-1073	210	7	produces	produce	VERB
eajbcs-1073	210	8	more	more	ADJ
eajbcs-1073	210	9	than	than	ADP
eajbcs-1073	210	10	one	one	NUM
eajbcs-1073	210	11	best	good	ADJ
eajbcs-1073	210	12	solution	solution	NOUN
eajbcs-1073	210	13	for	for	ADP
eajbcs-1073	210	14	any	any	DET
eajbcs-1073	210	15	s	s	X
eajbcs-1073	210	16	∈	∈	NOUN
eajbcs-1073	210	17	{	{	PUNCT
eajbcs-1073	210	18	1	1	NUM
eajbcs-1073	210	19	,	,	PUNCT
eajbcs-1073	210	20	2	2	NUM
eajbcs-1073	210	21	,	,	PUNCT
eajbcs-1073	210	22	.	.	PUNCT
eajbcs-1073	210	23	.	.	PUNCT
eajbcs-1073	211	1	.	.	PUNCT
eajbcs-1073	212	1	,	,	PUNCT
eajbcs-1073	212	2	k	k	X
eajbcs-1073	212	3	}	}	PUNCT
eajbcs-1073	212	4	,	,	PUNCT
eajbcs-1073	212	5	then	then	ADV
eajbcs-1073	212	6	underestimated	underestimate	VERB
eajbcs-1073	212	7	or	or	CCONJ
eajbcs-1073	212	8	overestimated	overestimated	ADJ
eajbcs-1073	212	9	solutions	solution	NOUN
eajbcs-1073	212	10	of	of	ADP
eajbcs-1073	212	11	nadir	nadir	NOUN
eajbcs-1073	212	12	point	point	NOUN
eajbcs-1073	212	13	exist	exist	VERB
eajbcs-1073	212	14	.	.	PUNCT
eajbcs-1073	213	1	to	to	PART
eajbcs-1073	213	2	estimate	estimate	VERB
eajbcs-1073	213	3	the	the	DET
eajbcs-1073	213	4	correct	correct	ADJ
eajbcs-1073	213	5	nadir	nadir	NOUN
eajbcs-1073	213	6	point	point	NOUN
eajbcs-1073	213	7	,	,	PUNCT
eajbcs-1073	213	8	we	we	PRON
eajbcs-1073	213	9	use	use	VERB
eajbcs-1073	213	10	two	two	NUM
eajbcs-1073	213	11	-	-	PUNCT
eajbcs-1073	213	12	steps	step	NOUN
eajbcs-1073	213	13	in	in	ADP
eajbcs-1073	213	14	the	the	DET
eajbcs-1073	213	15	proposed	propose	VERB
eajbcs-1073	213	16	method	method	NOUN
eajbcs-1073	213	17	.	.	PUNCT
eajbcs-1073	214	1	in	in	ADP
eajbcs-1073	214	2	step	step	NOUN
eajbcs-1073	214	3	one	one	NUM
eajbcs-1073	214	4	,	,	PUNCT
eajbcs-1073	214	5	we	we	PRON
eajbcs-1073	214	6	solve	solve	VERB
eajbcs-1073	214	7	the	the	DET
eajbcs-1073	214	8	following	follow	VERB
eajbcs-1073	214	9	optimization	optimization	NOUN
eajbcs-1073	214	10	problem	problem	NOUN
eajbcs-1073	214	11	for	for	ADP
eajbcs-1073	214	12	each	each	DET
eajbcs-1073	214	13	s	s	PROPN
eajbcs-1073	214	14	,	,	PUNCT
eajbcs-1073	214	15	using	use	VERB
eajbcs-1073	214	16	σ	σ	PROPN
eajbcs-1073	214	17	=	=	SYM
eajbcs-1073	214	18	1	1	NUM
eajbcs-1073	214	19	k	k	NOUN
eajbcs-1073	214	20	>	>	X
eajbcs-1073	214	21	0	0	X
eajbcs-1073	214	22	.	.	PUNCT
eajbcs-1073	214	23	min	min	PROPN
eajbcs-1073	214	24	fs(x	fs(x	PROPN
eajbcs-1073	214	25	)	)	PUNCT
eajbcs-1073	215	1	zb	zb	PROPN
eajbcs-1073	215	2	s	s	PART
eajbcs-1073	215	3	+	+	PROPN
eajbcs-1073	215	4	σ	σ	PROPN
eajbcs-1073	215	5	k∑	k∑	PROPN
eajbcs-1073	215	6	t̸=s	t̸=s	PROPN
eajbcs-1073	215	7	ft(xt	ft(xt	NOUN
eajbcs-1073	215	8	)	)	PUNCT
eajbcs-1073	215	9	zb	zb	PROPN
eajbcs-1073	215	10	t	t	NOUN
eajbcs-1073	215	11	subject	subject	VERB
eajbcs-1073	215	12	to	to	ADP
eajbcs-1073	215	13	:	:	PUNCT
eajbcs-1073	215	14	x	x	PUNCT
eajbcs-1073	215	15	∈	∈	NOUN
eajbcs-1073	215	16	s	s	X
eajbcs-1073	215	17	(	(	PUNCT
eajbcs-1073	215	18	6	6	NUM
eajbcs-1073	215	19	)	)	PUNCT
eajbcs-1073	215	20	let	let	VERB
eajbcs-1073	215	21	xbb	xbb	PROPN
eajbcs-1073	215	22	s	s	PART
eajbcs-1073	215	23	be	be	AUX
eajbcs-1073	215	24	a	a	DET
eajbcs-1073	215	25	solution	solution	NOUN
eajbcs-1073	215	26	obtained	obtain	VERB
eajbcs-1073	215	27	from	from	ADP
eajbcs-1073	215	28	the	the	DET
eajbcs-1073	215	29	model	model	NOUN
eajbcs-1073	215	30	(	(	PUNCT
eajbcs-1073	215	31	6	6	NUM
eajbcs-1073	215	32	)	)	PUNCT
eajbcs-1073	215	33	,	,	PUNCT
eajbcs-1073	215	34	and	and	CCONJ
eajbcs-1073	215	35	construct	construct	VERB
eajbcs-1073	215	36	the	the	DET
eajbcs-1073	215	37	payoff	payoff	NOUN
eajbcs-1073	215	38	-	-	PUNCT
eajbcs-1073	215	39	matrix	matrix	NOUN
eajbcs-1073	215	40	(	(	PUNCT
eajbcs-1073	215	41	5	5	NUM
eajbcs-1073	215	42	)	)	PUNCT
eajbcs-1073	215	43	using	use	VERB
eajbcs-1073	215	44	this	this	DET
eajbcs-1073	215	45	solution	solution	NOUN
eajbcs-1073	215	46	instead	instead	ADV
eajbcs-1073	215	47	of	of	ADP
eajbcs-1073	215	48	xb	xb	PROPN
eajbcs-1073	215	49	s	s	PART
eajbcs-1073	215	50	.	.	PUNCT
eajbcs-1073	216	1	using	use	VERB
eajbcs-1073	216	2	this	this	DET
eajbcs-1073	216	3	two	two	NUM
eajbcs-1073	216	4	-	-	PUNCT
eajbcs-1073	216	5	step	step	NOUN
eajbcs-1073	216	6	approach	approach	NOUN
eajbcs-1073	216	7	,	,	PUNCT
eajbcs-1073	216	8	we	we	PRON
eajbcs-1073	216	9	find	find	VERB
eajbcs-1073	216	10	upper	upper	ADJ
eajbcs-1073	216	11	and	and	CCONJ
eajbcs-1073	216	12	lower	low	ADJ
eajbcs-1073	216	13	-	-	PUNCT
eajbcs-1073	216	14	bounds	bound	NOUN
eajbcs-1073	216	15	for	for	ADP
eajbcs-1073	216	16	the	the	DET
eajbcs-1073	216	17	membership	membership	NOUN
eajbcs-1073	216	18	and	and	CCONJ
eajbcs-1073	216	19	nonmembership	nonmembership	NOUN
eajbcs-1073	216	20	functions	function	NOUN
eajbcs-1073	216	21	of	of	ADP
eajbcs-1073	216	22	the	the	DET
eajbcs-1073	216	23	objective	objective	ADJ
eajbcs-1073	216	24	function	function	NOUN
eajbcs-1073	216	25	,	,	PUNCT
eajbcs-1073	216	26	which	which	PRON
eajbcs-1073	216	27	are	be	AUX
eajbcs-1073	216	28	used	use	VERB
eajbcs-1073	216	29	as	as	ADP
eajbcs-1073	216	30	degrees	degree	NOUN
eajbcs-1073	216	31	of	of	ADP
eajbcs-1073	216	32	rejection	rejection	NOUN
eajbcs-1073	216	33	and	and	CCONJ
eajbcs-1073	216	34	acceptance	acceptance	NOUN
eajbcs-1073	216	35	of	of	ADP
eajbcs-1073	216	36	each	each	DET
eajbcs-1073	216	37	ifgs	ifg	VERB
eajbcs-1073	216	38	.	.	PUNCT
eajbcs-1073	217	1	in	in	ADP
eajbcs-1073	217	2	the	the	DET
eajbcs-1073	217	3	case	case	NOUN
eajbcs-1073	217	4	of	of	ADP
eajbcs-1073	217	5	minimization	minimization	NOUN
eajbcs-1073	217	6	problem	problem	NOUN
eajbcs-1073	217	7	,	,	PUNCT
eajbcs-1073	217	8	uµ	uµ	PROPN
eajbcs-1073	217	9	t	t	NOUN
eajbcs-1073	217	10	=	=	PUNCT
eajbcs-1073	217	11	max{ft(xb	max{ft(xb	NOUN
eajbcs-1073	217	12	1	1	NUM
eajbcs-1073	217	13	)	)	PUNCT
eajbcs-1073	217	14	,	,	PUNCT
eajbcs-1073	217	15	ft(x	ft(x	X
eajbcs-1073	217	16	b	b	X
eajbcs-1073	217	17	2	2	NUM
eajbcs-1073	217	18	)	)	PUNCT
eajbcs-1073	217	19	,	,	PUNCT
eajbcs-1073	217	20	.	.	PUNCT
eajbcs-1073	217	21	.	.	PUNCT
eajbcs-1073	217	22	.	.	PUNCT
eajbcs-1073	218	1	,	,	PUNCT
eajbcs-1073	218	2	ft(x	ft(x	X
eajbcs-1073	218	3	b	b	X
eajbcs-1073	218	4	k	k	NOUN
eajbcs-1073	218	5	)	)	PUNCT
eajbcs-1073	218	6	}	}	PUNCT
eajbcs-1073	218	7	and	and	CCONJ
eajbcs-1073	218	8	lµ	lµ	X
eajbcs-1073	218	9	t	t	NOUN
eajbcs-1073	218	10	=	=	PUNCT
eajbcs-1073	218	11	min{ft(xb	min{ft(xb	NOUN
eajbcs-1073	218	12	1	1	NUM
eajbcs-1073	218	13	)	)	PUNCT
eajbcs-1073	218	14	,	,	PUNCT
eajbcs-1073	218	15	ft(x	ft(x	X
eajbcs-1073	218	16	b	b	X
eajbcs-1073	218	17	2	2	NUM
eajbcs-1073	218	18	)	)	PUNCT
eajbcs-1073	218	19	,	,	PUNCT
eajbcs-1073	218	20	.	.	PUNCT
eajbcs-1073	218	21	.	.	PUNCT
eajbcs-1073	218	22	.	.	PUNCT
eajbcs-1073	219	1	,	,	PUNCT
eajbcs-1073	219	2	ft(x	ft(x	X
eajbcs-1073	219	3	b	b	X
eajbcs-1073	219	4	k	k	X
eajbcs-1073	219	5	)	)	PUNCT
eajbcs-1073	219	6	}	}	PUNCT
eajbcs-1073	219	7	considered	consider	VERB
eajbcs-1073	219	8	as	as	ADP
eajbcs-1073	219	9	upper	upper	ADJ
eajbcs-1073	219	10	and	and	CCONJ
eajbcs-1073	219	11	lower	lower	ADV
eajbcs-1073	219	12	-	-	PUNCT
eajbcs-1073	219	13	bound	bind	VERB
eajbcs-1073	219	14	of	of	ADP
eajbcs-1073	219	15	membership	membership	NOUN
eajbcs-1073	219	16	functions	function	NOUN
eajbcs-1073	219	17	,	,	PUNCT
eajbcs-1073	219	18	respectively	respectively	ADV
eajbcs-1073	219	19	.	.	PUNCT
eajbcs-1073	220	1	similarly	similarly	ADV
eajbcs-1073	220	2	,	,	PUNCT
eajbcs-1073	220	3	u	u	NOUN
eajbcs-1073	220	4	ν	ν	X
eajbcs-1073	220	5	t	t	NOUN
eajbcs-1073	220	6	=	=	PUNCT
eajbcs-1073	220	7	uµ	uµ	PROPN
eajbcs-1073	220	8	t	t	PROPN
eajbcs-1073	220	9	and	and	CCONJ
eajbcs-1073	220	10	lν	lν	PROPN
eajbcs-1073	220	11	t	t	NOUN
eajbcs-1073	221	1	=	=	PUNCT
eajbcs-1073	221	2	lµ	lµ	PROPN
eajbcs-1073	221	3	t	t	PROPN
eajbcs-1073	221	4	+	+	CCONJ
eajbcs-1073	221	5	ϵt(u	ϵt(u	NUM
eajbcs-1073	221	6	µ	µ	X
eajbcs-1073	221	7	t	t	NOUN
eajbcs-1073	221	8	−	−	PROPN
eajbcs-1073	221	9	lµ	lµ	PROPN
eajbcs-1073	221	10	t	t	PROPN
eajbcs-1073	221	11	)	)	PUNCT
eajbcs-1073	222	1	where	where	SCONJ
eajbcs-1073	222	2	,	,	PUNCT
eajbcs-1073	222	3	0	0	PUNCT
eajbcs-1073	222	4	<	<	X
eajbcs-1073	222	5	ϵt	ϵt	X
eajbcs-1073	222	6	<	<	X
eajbcs-1073	222	7	1	1	NUM
eajbcs-1073	222	8	for	for	ADP
eajbcs-1073	222	9	each	each	DET
eajbcs-1073	222	10	t	t	NOUN
eajbcs-1073	222	11	are	be	AUX
eajbcs-1073	222	12	upper	upper	ADJ
eajbcs-1073	222	13	and	and	CCONJ
eajbcs-1073	222	14	lowerbound	lowerbound	NOUN
eajbcs-1073	222	15	of	of	ADP
eajbcs-1073	222	16	non	non	ADJ
eajbcs-1073	222	17	-	-	ADJ
eajbcs-1073	222	18	membership	membership	ADJ
eajbcs-1073	222	19	functions	function	NOUN
eajbcs-1073	222	20	,	,	PUNCT
eajbcs-1073	222	21	respectively	respectively	ADV
eajbcs-1073	222	22	(	(	PUNCT
eajbcs-1073	222	23	bharati	bharati	NOUN
eajbcs-1073	222	24	and	and	CCONJ
eajbcs-1073	222	25	singh	singh	PROPN
eajbcs-1073	222	26	,	,	PUNCT
eajbcs-1073	222	27	2014	2014	NUM
eajbcs-1073	222	28	;	;	PUNCT
eajbcs-1073	222	29	moges	moge	NOUN
eajbcs-1073	222	30	et.al	et.al	PROPN
eajbcs-1073	222	31	.	.	PROPN
eajbcs-1073	222	32	,	,	PUNCT
eajbcs-1073	222	33	2023b	2023b	NUM
eajbcs-1073	222	34	)	)	PUNCT
eajbcs-1073	222	35	.	.	PUNCT
eajbcs-1073	223	1	lemma	lemma	PROPN
eajbcs-1073	223	2	4.1	4.1	NUM
eajbcs-1073	223	3	.	.	PUNCT
eajbcs-1073	224	1	the	the	DET
eajbcs-1073	224	2	solution	solution	NOUN
eajbcs-1073	224	3	obtained	obtain	VERB
eajbcs-1073	224	4	from	from	ADP
eajbcs-1073	224	5	the	the	DET
eajbcs-1073	224	6	model	model	NOUN
eajbcs-1073	224	7	(	(	PUNCT
eajbcs-1073	224	8	6	6	NUM
eajbcs-1073	224	9	)	)	PUNCT
eajbcs-1073	224	10	never	never	ADV
eajbcs-1073	224	11	generates	generate	VERB
eajbcs-1073	224	12	an	an	DET
eajbcs-1073	224	13	overestimation	overestimation	NOUN
eajbcs-1073	224	14	of	of	ADP
eajbcs-1073	224	15	znad	znad	PROPN
eajbcs-1073	224	16	,	,	PUNCT
eajbcs-1073	224	17	(	(	PUNCT
eajbcs-1073	224	18	ehrgott	ehrgott	NOUN
eajbcs-1073	224	19	,	,	PUNCT
eajbcs-1073	224	20	2000	2000	NUM
eajbcs-1073	224	21	;	;	PUNCT
eajbcs-1073	224	22	isermann	isermann	PROPN
eajbcs-1073	224	23	and	and	CCONJ
eajbcs-1073	224	24	steuer	steuer	PROPN
eajbcs-1073	224	25	,	,	PUNCT
eajbcs-1073	224	26	1997	1997	NUM
eajbcs-1073	224	27	)	)	PUNCT
eajbcs-1073	224	28	.	.	PUNCT
eajbcs-1073	225	1	for	for	ADP
eajbcs-1073	225	2	minimization	minimization	NOUN
eajbcs-1073	225	3	problem	problem	NOUN
eajbcs-1073	225	4	,	,	PUNCT
eajbcs-1073	225	5	membership	membership	NOUN
eajbcs-1073	225	6	(	(	PUNCT
eajbcs-1073	225	7	µt(ft(x	µt(ft(x	PROPN
eajbcs-1073	225	8	)	)	PUNCT
eajbcs-1073	225	9	)	)	PUNCT
eajbcs-1073	225	10	)	)	PUNCT
eajbcs-1073	225	11	and	and	CCONJ
eajbcs-1073	225	12	non	non	ADJ
eajbcs-1073	225	13	-	-	NOUN
eajbcs-1073	225	14	membership	membership	ADJ
eajbcs-1073	225	15	(	(	PUNCT
eajbcs-1073	225	16	νt(ft(x	νt(ft(x	NOUN
eajbcs-1073	225	17	)	)	PUNCT
eajbcs-1073	225	18	)	)	PUNCT
eajbcs-1073	225	19	)	)	PUNCT
eajbcs-1073	225	20	functions	function	NOUN
eajbcs-1073	225	21	can	can	AUX
eajbcs-1073	225	22	be	be	AUX
eajbcs-1073	225	23	defined	define	VERB
eajbcs-1073	225	24	according	accord	VERB
eajbcs-1073	225	25	to	to	ADP
eajbcs-1073	225	26	eqs	eqs	PROPN
eajbcs-1073	225	27	.	.	PROPN
eajbcs-1073	225	28	7	7	NUM
eajbcs-1073	225	29	and	and	CCONJ
eajbcs-1073	225	30	eqs	eq	NOUN
eajbcs-1073	225	31	.	.	PROPN
eajbcs-1073	225	32	8	8	NUM
eajbcs-1073	225	33	respectively	respectively	ADV
eajbcs-1073	225	34	.	.	PUNCT
eajbcs-1073	226	1	µt(ft(x	µt(ft(x	PROPN
eajbcs-1073	226	2	)	)	PUNCT
eajbcs-1073	226	3	)	)	PUNCT
eajbcs-1073	227	1	=	=	PUNCT
eajbcs-1073	227	2			NOUN
eajbcs-1073	227	3	1	1	NUM
eajbcs-1073	227	4	if	if	SCONJ
eajbcs-1073	227	5	ft(x	ft(x	NOUN
eajbcs-1073	227	6	)	)	PUNCT
eajbcs-1073	227	7	≤	≤	NUM
eajbcs-1073	228	1	lµ	lµ	ADP
eajbcs-1073	228	2	t	t	PROPN
eajbcs-1073	228	3	uµ	uµ	PROPN
eajbcs-1073	228	4	t	t	PROPN
eajbcs-1073	228	5	−ft(x	−ft(x	NOUN
eajbcs-1073	228	6	)	)	PUNCT
eajbcs-1073	228	7	uµ	uµ	PROPN
eajbcs-1073	228	8	t	t	PROPN
eajbcs-1073	228	9	−lµ	−lµ	PROPN
eajbcs-1073	228	10	t	t	PROPN
eajbcs-1073	228	11	if	if	SCONJ
eajbcs-1073	228	12	lµ	lµ	PRON
eajbcs-1073	228	13	t	t	PROPN
eajbcs-1073	228	14	<	<	X
eajbcs-1073	228	15	ft(x	ft(x	X
eajbcs-1073	228	16	)	)	PUNCT
eajbcs-1073	228	17	≤	≤	NUM
eajbcs-1073	229	1	uµ	uµ	ADP
eajbcs-1073	229	2	t	t	PROPN
eajbcs-1073	229	3	0	0	PUNCT
eajbcs-1073	229	4	if	if	SCONJ
eajbcs-1073	229	5	ft(x	ft(x	NOUN
eajbcs-1073	229	6	)	)	PUNCT
eajbcs-1073	229	7	>	>	X
eajbcs-1073	229	8	uµ	uµ	PROPN
eajbcs-1073	229	9	t	t	PROPN
eajbcs-1073	229	10	(	(	PUNCT
eajbcs-1073	229	11	7	7	NUM
eajbcs-1073	229	12	)	)	PUNCT
eajbcs-1073	229	13	νt(ft(x	νt(ft(x	NOUN
eajbcs-1073	229	14	)	)	PUNCT
eajbcs-1073	229	15	)	)	PUNCT
eajbcs-1073	230	1	=	=	PUNCT
eajbcs-1073	230	2			PUNCT
eajbcs-1073	230	3	0	0	NUM
eajbcs-1073	230	4	if	if	SCONJ
eajbcs-1073	230	5	ft(x	ft(x	NOUN
eajbcs-1073	230	6	)	)	PUNCT
eajbcs-1073	230	7	<	<	X
eajbcs-1073	231	1	lν	lν	X
eajbcs-1073	231	2	t	t	PROPN
eajbcs-1073	231	3	ft(x)−lν	ft(x)−lν	PUNCT
eajbcs-1073	231	4	t	t	PROPN
eajbcs-1073	231	5	uν	uν	PROPN
eajbcs-1073	231	6	t	t	PROPN
eajbcs-1073	231	7	−lν	−lν	PROPN
eajbcs-1073	231	8	t	t	PROPN
eajbcs-1073	231	9	if	if	SCONJ
eajbcs-1073	231	10	lν	lν	PROPN
eajbcs-1073	231	11	t	t	PROPN
eajbcs-1073	231	12	≤	≤	NOUN
eajbcs-1073	231	13	ft(x	ft(x	NOUN
eajbcs-1073	231	14	)	)	PUNCT
eajbcs-1073	231	15	≤	≤	NUM
eajbcs-1073	232	1	u	u	NOUN
eajbcs-1073	232	2	ν	ν	X
eajbcs-1073	232	3	t	t	PROPN
eajbcs-1073	232	4	1	1	NUM
eajbcs-1073	232	5	if	if	SCONJ
eajbcs-1073	232	6	ft(x	ft(x	NOUN
eajbcs-1073	232	7	)	)	PUNCT
eajbcs-1073	232	8	>	>	PUNCT
eajbcs-1073	233	1	uν	uν	PROPN
eajbcs-1073	233	2	t	t	PROPN
eajbcs-1073	233	3	(	(	PUNCT
eajbcs-1073	233	4	8)	8)	NUM
eajbcs-1073	233	5	now	now	ADV
eajbcs-1073	233	6	,	,	PUNCT
eajbcs-1073	234	1	to	to	PART
eajbcs-1073	234	2	overcome	overcome	VERB
eajbcs-1073	234	3	the	the	DET
eajbcs-1073	234	4	limitation	limitation	NOUN
eajbcs-1073	234	5	of	of	ADP
eajbcs-1073	234	6	the	the	DET
eajbcs-1073	234	7	angelov	angelov	NOUN
eajbcs-1073	234	8	(	(	PUNCT
eajbcs-1073	234	9	1995	1995	NUM
eajbcs-1073	234	10	)	)	PUNCT
eajbcs-1073	234	11	model	model	NOUN
eajbcs-1073	234	12	,	,	PUNCT
eajbcs-1073	234	13	we	we	PRON
eajbcs-1073	234	14	first	first	ADV
eajbcs-1073	234	15	resolve	resolve	VERB
eajbcs-1073	234	16	the	the	DET
eajbcs-1073	234	17	indeterminacy	indeterminacy	NOUN
eajbcs-1073	234	18	factors	factor	NOUN
eajbcs-1073	234	19	independently	independently	ADV
eajbcs-1073	234	20	for	for	ADP
eajbcs-1073	234	21	each	each	DET
eajbcs-1073	234	22	ifg	ifg	NOUN
eajbcs-1073	234	23	using	use	VERB
eajbcs-1073	234	24	the	the	DET
eajbcs-1073	234	25	yager	yager	NOUN
eajbcs-1073	234	26	(	(	PUNCT
eajbcs-1073	234	27	2009	2009	NUM
eajbcs-1073	234	28	)	)	PUNCT
eajbcs-1073	234	29	approach	approach	NOUN
eajbcs-1073	234	30	.	.	PUNCT
eajbcs-1073	235	1	therefore	therefore	ADV
eajbcs-1073	235	2	,	,	PUNCT
eajbcs-1073	235	3	using	use	VERB
eajbcs-1073	235	4	the	the	DET
eajbcs-1073	235	5	membership	membership	NOUN
eajbcs-1073	235	6	function	function	VERB
eajbcs-1073	235	7	µt(ft(x	µt(ft(x	PRON
eajbcs-1073	235	8	)	)	PUNCT
eajbcs-1073	235	9	)	)	PUNCT
eajbcs-1073	236	1	defined	define	VERB
eajbcs-1073	236	2	in	in	ADP
eajbcs-1073	236	3	eqs.7	eqs.7	PROPN
eajbcs-1073	236	4	and	and	CCONJ
eajbcs-1073	236	5	the	the	DET
eajbcs-1073	236	6	non	non	ADJ
eajbcs-1073	236	7	-	-	ADJ
eajbcs-1073	236	8	membership	membership	ADJ
eajbcs-1073	236	9	function	function	NOUN
eajbcs-1073	236	10	νt(ft(x	νt(ft(x	NOUN
eajbcs-1073	236	11	)	)	PUNCT
eajbcs-1073	236	12	)	)	PUNCT
eajbcs-1073	237	1	defined	define	VERB
eajbcs-1073	237	2	in	in	ADP
eajbcs-1073	237	3	eqs.8	eqs.8	PROPN
eajbcs-1073	237	4	,	,	PUNCT
eajbcs-1073	237	5	the	the	DET
eajbcs-1073	237	6	new	new	ADJ
eajbcs-1073	237	7	extended	extended	ADJ
eajbcs-1073	237	8	yager	yager	NOUN
eajbcs-1073	237	9	-	-	PUNCT
eajbcs-1073	237	10	membership	membership	NOUN
eajbcs-1073	237	11	function	function	NOUN
eajbcs-1073	237	12	is	be	AUX
eajbcs-1073	237	13	defined	define	VERB
eajbcs-1073	237	14	as	as	SCONJ
eajbcs-1073	237	15	follows	follow	VERB
eajbcs-1073	237	16	:	:	PUNCT
eajbcs-1073	237	17	for	for	ADP
eajbcs-1073	237	18	any	any	DET
eajbcs-1073	237	19	λ	λ	PROPN
eajbcs-1073	237	20	∈	∈	PROPN
eajbcs-1073	238	1	[	[	X
eajbcs-1073	238	2	0	0	NUM
eajbcs-1073	238	3	,	,	PUNCT
eajbcs-1073	238	4	1	1	NUM
eajbcs-1073	238	5	]	]	PUNCT
eajbcs-1073	238	6	.	.	PUNCT
eajbcs-1073	239	1	iλt	iλt	PROPN
eajbcs-1073	239	2	(	(	PUNCT
eajbcs-1073	239	3	ft(x	ft(x	NOUN
eajbcs-1073	239	4	)	)	PUNCT
eajbcs-1073	239	5	)	)	PUNCT
eajbcs-1073	240	1	=	=	SYM
eajbcs-1073	240	2	(	(	PUNCT
eajbcs-1073	240	3	1−	1−	NUM
eajbcs-1073	240	4	λ)µt(ft(x	λ)µt(ft(x	NOUN
eajbcs-1073	240	5	)	)	PUNCT
eajbcs-1073	240	6	)	)	PUNCT
eajbcs-1073	241	1	+	+	CCONJ
eajbcs-1073	241	2	λ(1−	λ(1−	ADJ
eajbcs-1073	241	3	νt(ft(x	νt(ft(x	NOUN
eajbcs-1073	241	4	)	)	PUNCT
eajbcs-1073	241	5	)	)	PUNCT
eajbcs-1073	241	6	)	)	PUNCT
eajbcs-1073	242	1	for	for	ADP
eajbcs-1073	242	2	each	each	DET
eajbcs-1073	242	3	t	t	NOUN
eajbcs-1073	242	4	=	=	SYM
eajbcs-1073	242	5	1	1	NUM
eajbcs-1073	242	6	,	,	PUNCT
eajbcs-1073	242	7	2	2	NUM
eajbcs-1073	242	8	,	,	PUNCT
eajbcs-1073	242	9	.	.	PUNCT
eajbcs-1073	242	10	.	.	PUNCT
eajbcs-1073	242	11	.	.	PUNCT
eajbcs-1073	243	1	k.	k.	PROPN
eajbcs-1073	244	1	(	(	PUNCT
eajbcs-1073	244	2	9	9	NUM
eajbcs-1073	244	3	)	)	PUNCT
eajbcs-1073	244	4	without	without	ADP
eajbcs-1073	244	5	knowing	know	VERB
eajbcs-1073	244	6	any	any	DET
eajbcs-1073	244	7	other	other	ADJ
eajbcs-1073	244	8	details	detail	NOUN
eajbcs-1073	244	9	regarding	regard	VERB
eajbcs-1073	244	10	the	the	DET
eajbcs-1073	244	11	dm	dm	NOUN
eajbcs-1073	244	12	’s	’s	PART
eajbcs-1073	244	13	attitude	attitude	NOUN
eajbcs-1073	244	14	during	during	ADP
eajbcs-1073	244	15	this	this	DET
eajbcs-1073	244	16	study	study	NOUN
eajbcs-1073	244	17	,	,	PUNCT
eajbcs-1073	244	18	we	we	PRON
eajbcs-1073	244	19	arrived	arrive	VERB
eajbcs-1073	244	20	at	at	ADP
eajbcs-1073	244	21	λ	λ	X
eajbcs-1073	244	22	=	=	NOUN
eajbcs-1073	244	23	1	1	NUM
eajbcs-1073	244	24	2	2	NUM
eajbcs-1073	244	25	in	in	ADP
eajbcs-1073	244	26	our	our	PRON
eajbcs-1073	244	27	discussion	discussion	NOUN
eajbcs-1073	244	28	that	that	PRON
eajbcs-1073	244	29	follows	follow	VERB
eajbcs-1073	244	30	.	.	PUNCT
eajbcs-1073	245	1	the	the	DET
eajbcs-1073	245	2	piece	piece	NOUN
eajbcs-1073	245	3	-	-	PUNCT
eajbcs-1073	245	4	wise	wise	ADJ
eajbcs-1073	245	5	linear	linear	ADJ
eajbcs-1073	245	6	yagermembership	yagermembership	NOUN
eajbcs-1073	245	7	function	function	NOUN
eajbcs-1073	245	8	for	for	ADP
eajbcs-1073	245	9	the	the	DET
eajbcs-1073	245	10	minimization	minimization	PROPN
eajbcs-1073	245	11	east	east	PROPN
eajbcs-1073	245	12	afr	afr	PROPN
eajbcs-1073	245	13	.	.	PUNCT
eajbcs-1073	246	1	j.	j.	PROPN
eajbcs-1073	246	2	biophys	biophys	PROPN
eajbcs-1073	246	3	.	.	PUNCT
eajbcs-1073	247	1	comput	comput	NOUN
eajbcs-1073	247	2	.	.	PUNCT
eajbcs-1073	248	1	sci	sci	PROPN
eajbcs-1073	248	2	.	.	PUNCT
eajbcs-1073	249	1	(	(	PUNCT
eajbcs-1073	249	2	2024	2024	NUM
eajbcs-1073	249	3	)	)	PUNCT
eajbcs-1073	249	4	,	,	PUNCT
eajbcs-1073	249	5	vol	vol	NOUN
eajbcs-1073	249	6	.	.	PROPN
eajbcs-1073	249	7	5	5	NUM
eajbcs-1073	249	8	,	,	PUNCT
eajbcs-1073	249	9	no	no	INTJ
eajbcs-1073	249	10	.	.	NOUN
eajbcs-1073	249	11	2	2	NUM
eajbcs-1073	249	12	,	,	PUNCT
eajbcs-1073	249	13	41	41	NUM
eajbcs-1073	249	14	-	-	SYM
eajbcs-1073	249	15	57	57	NUM
eajbcs-1073	249	16	47	47	NUM
eajbcs-1073	249	17	problem	problem	NOUN
eajbcs-1073	249	18	shown	show	VERB
eajbcs-1073	249	19	in	in	ADP
eajbcs-1073	249	20	figure	figure	NOUN
eajbcs-1073	249	21	1(a	1(a	NUM
eajbcs-1073	249	22	):	):	PUNCT
eajbcs-1073	249	23	and	and	CCONJ
eajbcs-1073	249	24	defined	define	VERB
eajbcs-1073	249	25	as	as	ADP
eajbcs-1073	249	26	:	:	PUNCT
eajbcs-1073	249	27	iλt	iλt	PROPN
eajbcs-1073	249	28	(	(	PUNCT
eajbcs-1073	249	29	ft(x	ft(x	NOUN
eajbcs-1073	249	30	)	)	PUNCT
eajbcs-1073	249	31	)	)	PUNCT
eajbcs-1073	250	1	=	=	PUNCT
eajbcs-1073	250	2			NOUN
eajbcs-1073	250	3	1	1	NUM
eajbcs-1073	250	4	if	if	SCONJ
eajbcs-1073	250	5	ft(x	ft(x	NOUN
eajbcs-1073	250	6	)	)	PUNCT
eajbcs-1073	250	7	≤	≤	NUM
eajbcs-1073	251	1	lµ	lµ	ADP
eajbcs-1073	251	2	t	t	PROPN
eajbcs-1073	251	3	1−	1−	NUM
eajbcs-1073	251	4	1	1	NUM
eajbcs-1073	251	5	2	2	NUM
eajbcs-1073	251	6	ϵt	ϵt	ADP
eajbcs-1073	251	7	(	(	PUNCT
eajbcs-1073	251	8	ft(x)−l	ft(x)−l	PROPN
eajbcs-1073	251	9	µ	µ	PROPN
eajbcs-1073	251	10	t	t	PROPN
eajbcs-1073	251	11	lν	lν	PROPN
eajbcs-1073	251	12	t	t	PROPN
eajbcs-1073	251	13	−l	−l	PROPN
eajbcs-1073	251	14	µ	µ	PROPN
eajbcs-1073	251	15	t	t	NOUN
eajbcs-1073	251	16	)	)	PUNCT
eajbcs-1073	251	17	if	if	SCONJ
eajbcs-1073	251	18	lµ	lµ	PRON
eajbcs-1073	251	19	t	t	VERB
eajbcs-1073	251	20	≤	≤	NOUN
eajbcs-1073	251	21	ft(x	ft(x	NOUN
eajbcs-1073	251	22	)	)	PUNCT
eajbcs-1073	251	23	<	<	X
eajbcs-1073	252	1	lν	lν	X
eajbcs-1073	252	2	t	t	PROPN
eajbcs-1073	252	3	1	1	NUM
eajbcs-1073	252	4	2	2	NUM
eajbcs-1073	252	5	(	(	PUNCT
eajbcs-1073	252	6	2−	2−	NUM
eajbcs-1073	252	7	ϵt	ϵt	NOUN
eajbcs-1073	252	8	)	)	PUNCT
eajbcs-1073	252	9	u	u	NOUN
eajbcs-1073	252	10	µ	µ	PROPN
eajbcs-1073	252	11	t	t	NOUN
eajbcs-1073	252	12	−ft(x	−ft(x	NUM
eajbcs-1073	252	13	)	)	PUNCT
eajbcs-1073	252	14	u	u	NOUN
eajbcs-1073	252	15	µ	µ	PROPN
eajbcs-1073	252	16	t	t	NOUN
eajbcs-1073	252	17	−lν	−lν	PROPN
eajbcs-1073	252	18	t	t	PROPN
eajbcs-1073	252	19	if	if	SCONJ
eajbcs-1073	252	20	lν	lν	PROPN
eajbcs-1073	252	21	t	t	PROPN
eajbcs-1073	252	22	≤	≤	NOUN
eajbcs-1073	252	23	ft(x	ft(x	NOUN
eajbcs-1073	252	24	)	)	PUNCT
eajbcs-1073	252	25	<	<	X
eajbcs-1073	252	26	uµ	uµ	X
eajbcs-1073	252	27	t	t	PROPN
eajbcs-1073	252	28	0	0	PUNCT
eajbcs-1073	252	29	if	if	SCONJ
eajbcs-1073	252	30	ft(x	ft(x	NUM
eajbcs-1073	252	31	)	)	PUNCT
eajbcs-1073	252	32	≥	≥	X
eajbcs-1073	252	33	uµ	uµ	PROPN
eajbcs-1073	252	34	t	t	PROPN
eajbcs-1073	252	35	(	(	PUNCT
eajbcs-1073	252	36	10	10	NUM
eajbcs-1073	252	37	)	)	PUNCT
eajbcs-1073	252	38	now	now	ADV
eajbcs-1073	252	39	,	,	PUNCT
eajbcs-1073	252	40	we	we	PRON
eajbcs-1073	252	41	need	need	VERB
eajbcs-1073	252	42	to	to	PART
eajbcs-1073	252	43	expand	expand	VERB
eajbcs-1073	252	44	the	the	DET
eajbcs-1073	252	45	range	range	NOUN
eajbcs-1073	252	46	of	of	ADP
eajbcs-1073	252	47	function	function	NOUN
eajbcs-1073	252	48	iλt	iλt	PROPN
eajbcs-1073	252	49	(	(	PUNCT
eajbcs-1073	252	50	ft(x	ft(x	NOUN
eajbcs-1073	252	51	)	)	PUNCT
eajbcs-1073	252	52	)	)	PUNCT
eajbcs-1073	253	1	=	=	SYM
eajbcs-1073	253	2	1	1	NUM
eajbcs-1073	253	3	,	,	PUNCT
eajbcs-1073	253	4	for	for	ADP
eajbcs-1073	253	5	ft(x	ft(x	NOUN
eajbcs-1073	253	6	)	)	PUNCT
eajbcs-1073	253	7	≤	≤	NUM
eajbcs-1073	254	1	lµ	lµ	VERB
eajbcs-1073	254	2	t	t	PROPN
eajbcs-1073	254	3	to	to	ADP
eajbcs-1073	254	4	iλt	iλt	PROPN
eajbcs-1073	254	5	(	(	PUNCT
eajbcs-1073	254	6	ft(x	ft(x	NOUN
eajbcs-1073	254	7	)	)	PUNCT
eajbcs-1073	254	8	)	)	PUNCT
eajbcs-1073	254	9	>	>	X
eajbcs-1073	255	1	1	1	NUM
eajbcs-1073	255	2	,	,	PUNCT
eajbcs-1073	255	3	for	for	ADP
eajbcs-1073	255	4	ft(x	ft(x	NOUN
eajbcs-1073	255	5	)	)	PUNCT
eajbcs-1073	255	6	<	<	X
eajbcs-1073	255	7	lµ	lµ	PROPN
eajbcs-1073	255	8	t	t	PROPN
eajbcs-1073	255	9	to	to	PART
eajbcs-1073	255	10	overcome	overcome	VERB
eajbcs-1073	255	11	the	the	DET
eajbcs-1073	255	12	limitation	limitation	NOUN
eajbcs-1073	255	13	of	of	ADP
eajbcs-1073	255	14	dubey	dubey	PROPN
eajbcs-1073	255	15	et.al	et.al	PROPN
eajbcs-1073	255	16	.	.	PUNCT
eajbcs-1073	256	1	(	(	PUNCT
eajbcs-1073	256	2	2012	2012	NUM
eajbcs-1073	256	3	)	)	PUNCT
eajbcs-1073	256	4	model	model	NOUN
eajbcs-1073	256	5	.	.	PUNCT
eajbcs-1073	257	1	suppose	suppose	VERB
eajbcs-1073	257	2	lmin	lmin	PROPN
eajbcs-1073	257	3	t	t	PROPN
eajbcs-1073	257	4	=	=	SYM
eajbcs-1073	257	5	min{lµ	min{lµ	X
eajbcs-1073	257	6	1	1	NUM
eajbcs-1073	257	7	,	,	PUNCT
eajbcs-1073	257	8	l	l	PROPN
eajbcs-1073	257	9	µ	µ	X
eajbcs-1073	257	10	2	2	NUM
eajbcs-1073	257	11	,	,	PUNCT
eajbcs-1073	257	12	.	.	PUNCT
eajbcs-1073	257	13	.	.	PUNCT
eajbcs-1073	258	1	.	.	PUNCT
eajbcs-1073	259	1	,	,	PUNCT
eajbcs-1073	259	2	l	l	PROPN
eajbcs-1073	259	3	µ	µ	X
eajbcs-1073	259	4	k	k	NOUN
eajbcs-1073	259	5	}	}	PUNCT
eajbcs-1073	259	6	±	±	NUM
eajbcs-1073	259	7	lµ	lµ	PROPN
eajbcs-1073	259	8	t	t	PROPN
eajbcs-1073	259	9	and	and	CCONJ
eajbcs-1073	259	10	umax	umax	PROPN
eajbcs-1073	259	11	t	t	NOUN
eajbcs-1073	259	12	=	=	PUNCT
eajbcs-1073	259	13	max{uµ	max{uµ	NOUN
eajbcs-1073	259	14	1	1	NUM
eajbcs-1073	259	15	,	,	PUNCT
eajbcs-1073	259	16	u	u	NOUN
eajbcs-1073	259	17	µ	µ	X
eajbcs-1073	259	18	2	2	NUM
eajbcs-1073	259	19	,	,	PUNCT
eajbcs-1073	259	20	.	.	PUNCT
eajbcs-1073	259	21	.	.	PUNCT
eajbcs-1073	260	1	.	.	PUNCT
eajbcs-1073	261	1	,	,	PUNCT
eajbcs-1073	261	2	u	u	PROPN
eajbcs-1073	261	3	µ	µ	PROPN
eajbcs-1073	261	4	k	k	X
eajbcs-1073	261	5	}	}	PUNCT
eajbcs-1073	261	6	±	±	PROPN
eajbcs-1073	261	7	uµ	uµ	NOUN
eajbcs-1073	261	8	t	t	PROPN
eajbcs-1073	261	9	such	such	ADJ
eajbcs-1073	261	10	that	that	DET
eajbcs-1073	261	11	lmin	lmin	PROPN
eajbcs-1073	261	12	t	t	PROPN
eajbcs-1073	261	13	<	<	X
eajbcs-1073	261	14	lµ	lµ	PROPN
eajbcs-1073	261	15	t	t	PROPN
eajbcs-1073	261	16	≤	≤	NOUN
eajbcs-1073	261	17	ft(x	ft(x	NOUN
eajbcs-1073	261	18	)	)	PUNCT
eajbcs-1073	261	19	≤	≤	NUM
eajbcs-1073	261	20	uµ	uµ	X
eajbcs-1073	261	21	t	t	PROPN
eajbcs-1073	261	22	for	for	ADP
eajbcs-1073	261	23	each	each	DET
eajbcs-1073	261	24	t	t	NOUN
eajbcs-1073	261	25	=	=	SYM
eajbcs-1073	261	26	1	1	NUM
eajbcs-1073	261	27	,	,	PUNCT
eajbcs-1073	261	28	2	2	NUM
eajbcs-1073	261	29	,	,	PUNCT
eajbcs-1073	261	30	.	.	PUNCT
eajbcs-1073	261	31	.	.	PUNCT
eajbcs-1073	262	1	.	.	PUNCT
eajbcs-1073	263	1	,	,	PUNCT
eajbcs-1073	263	2	k.	k.	PROPN
eajbcs-1073	263	3	to	to	PART
eajbcs-1073	263	4	extend	extend	VERB
eajbcs-1073	263	5	the	the	DET
eajbcs-1073	263	6	yagermembership	yagermembership	NOUN
eajbcs-1073	263	7	function	function	NOUN
eajbcs-1073	263	8	,	,	PUNCT
eajbcs-1073	263	9	choose	choose	VERB
eajbcs-1073	263	10	two	two	NUM
eajbcs-1073	263	11	positive	positive	ADJ
eajbcs-1073	263	12	numbers	number	NOUN
eajbcs-1073	263	13	,	,	PUNCT
eajbcs-1073	263	14	b1	b1	NOUN
eajbcs-1073	263	15	,	,	PUNCT
eajbcs-1073	263	16	b2	b2	NOUN
eajbcs-1073	263	17	>	>	X
eajbcs-1073	263	18	0	0	NUM
eajbcs-1073	263	19	,	,	PUNCT
eajbcs-1073	263	20	and	and	CCONJ
eajbcs-1073	263	21	relax	relax	VERB
eajbcs-1073	263	22	the	the	DET
eajbcs-1073	263	23	range	range	NOUN
eajbcs-1073	263	24	from	from	ADP
eajbcs-1073	263	25	[	[	X
eajbcs-1073	263	26	0	0	NUM
eajbcs-1073	263	27	,	,	PUNCT
eajbcs-1073	263	28	1	1	NUM
eajbcs-1073	263	29	]	]	PUNCT
eajbcs-1073	263	30	to	to	ADP
eajbcs-1073	263	31	[	[	X
eajbcs-1073	263	32	−b2	−b2	PROPN
eajbcs-1073	263	33	,	,	PUNCT
eajbcs-1073	264	1	1	1	NUM
eajbcs-1073	264	2	+	+	SYM
eajbcs-1073	264	3	b1	b1	NOUN
eajbcs-1073	264	4	]	]	PUNCT
eajbcs-1073	264	5	.	.	PUNCT
eajbcs-1073	265	1	therefore	therefore	ADV
eajbcs-1073	265	2	,	,	PUNCT
eajbcs-1073	265	3	the	the	DET
eajbcs-1073	265	4	extended	extended	ADJ
eajbcs-1073	265	5	yager	yager	NOUN
eajbcs-1073	265	6	-	-	PUNCT
eajbcs-1073	265	7	membership	membership	NOUN
eajbcs-1073	265	8	function	function	NOUN
eajbcs-1073	265	9	for	for	ADP
eajbcs-1073	265	10	the	the	DET
eajbcs-1073	265	11	minimization	minimization	NOUN
eajbcs-1073	265	12	problem	problem	NOUN
eajbcs-1073	265	13	developed	develop	VERB
eajbcs-1073	265	14	as	as	SCONJ
eajbcs-1073	265	15	shown	show	VERB
eajbcs-1073	265	16	in	in	ADP
eajbcs-1073	265	17	figure	figure	NOUN
eajbcs-1073	265	18	1(b	1(b	NUM
eajbcs-1073	265	19	):	):	PUNCT
eajbcs-1073	265	20	and	and	CCONJ
eajbcs-1073	265	21	defined	define	VERB
eajbcs-1073	265	22	in	in	ADP
eajbcs-1073	265	23	the	the	DET
eajbcs-1073	265	24	following	following	ADJ
eajbcs-1073	265	25	way	way	NOUN
eajbcs-1073	265	26	:	:	PUNCT
eajbcs-1073	265	27	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	265	28	)	)	PUNCT
eajbcs-1073	265	29	)	)	PUNCT
eajbcs-1073	266	1	=	=	PUNCT
eajbcs-1073	266	2			PROPN
eajbcs-1073	266	3	b1(l	b1(l	ADP
eajbcs-1073	266	4	µ	µ	X
eajbcs-1073	266	5	t	t	NOUN
eajbcs-1073	266	6	−ft(x	−ft(x	NUM
eajbcs-1073	266	7	)	)	PUNCT
eajbcs-1073	266	8	)	)	PUNCT
eajbcs-1073	267	1	lµ	lµ	PROPN
eajbcs-1073	268	1	t	t	PROPN
eajbcs-1073	268	2	−lmin	−lmin	X
eajbcs-1073	268	3	t	t	PROPN
eajbcs-1073	269	1	+	+	CCONJ
eajbcs-1073	269	2	1	1	NUM
eajbcs-1073	269	3	if	if	SCONJ
eajbcs-1073	269	4	lmin	lmin	PROPN
eajbcs-1073	269	5	t	t	PROPN
eajbcs-1073	269	6	<	<	X
eajbcs-1073	269	7	ft(x	ft(x	X
eajbcs-1073	269	8	)	)	PUNCT
eajbcs-1073	270	1	<	<	X
eajbcs-1073	270	2	lµ	lµ	PROPN
eajbcs-1073	270	3	t	t	PROPN
eajbcs-1073	270	4	1−	1−	NUM
eajbcs-1073	270	5	1	1	NUM
eajbcs-1073	270	6	2	2	NUM
eajbcs-1073	270	7	ϵt	ϵt	NOUN
eajbcs-1073	270	8	(	(	PUNCT
eajbcs-1073	270	9	ft(x)−lµ	ft(x)−lµ	PROPN
eajbcs-1073	270	10	t	t	PROPN
eajbcs-1073	270	11	lν	lν	PROPN
eajbcs-1073	270	12	t	t	PROPN
eajbcs-1073	270	13	−lµ	−lµ	PROPN
eajbcs-1073	270	14	t	t	PROPN
eajbcs-1073	270	15	)	)	PUNCT
eajbcs-1073	270	16	if	if	SCONJ
eajbcs-1073	270	17	lµ	lµ	PRON
eajbcs-1073	270	18	t	t	VERB
eajbcs-1073	270	19	≤	≤	NOUN
eajbcs-1073	270	20	ft(x	ft(x	NOUN
eajbcs-1073	270	21	)	)	PUNCT
eajbcs-1073	270	22	<	<	X
eajbcs-1073	271	1	lν	lν	X
eajbcs-1073	271	2	t	t	PROPN
eajbcs-1073	271	3	1	1	NUM
eajbcs-1073	271	4	2	2	NUM
eajbcs-1073	271	5	(	(	PUNCT
eajbcs-1073	271	6	2−	2−	NUM
eajbcs-1073	271	7	ϵt	ϵt	NOUN
eajbcs-1073	271	8	)	)	PUNCT
eajbcs-1073	271	9	uµ	uµ	ADP
eajbcs-1073	271	10	t	t	PROPN
eajbcs-1073	271	11	−ft(x	−ft(x	NOUN
eajbcs-1073	271	12	)	)	PUNCT
eajbcs-1073	271	13	uµ	uµ	PROPN
eajbcs-1073	271	14	t	t	PROPN
eajbcs-1073	271	15	−lν	−lν	PROPN
eajbcs-1073	271	16	t	t	PROPN
eajbcs-1073	271	17	if	if	SCONJ
eajbcs-1073	271	18	lν	lν	PROPN
eajbcs-1073	271	19	t	t	PROPN
eajbcs-1073	271	20	≤	≤	NOUN
eajbcs-1073	271	21	ft(x	ft(x	NOUN
eajbcs-1073	271	22	)	)	PUNCT
eajbcs-1073	271	23	<	<	X
eajbcs-1073	271	24	uµ	uµ	X
eajbcs-1073	271	25	t	t	PROPN
eajbcs-1073	271	26	b2(ft(x)−uµ	b2(ft(x)−uµ	PROPN
eajbcs-1073	271	27	t	t	PROPN
eajbcs-1073	271	28	)	)	PUNCT
eajbcs-1073	272	1	uµ	uµ	PROPN
eajbcs-1073	272	2	t	t	PROPN
eajbcs-1073	272	3	−umax	−umax	NOUN
eajbcs-1073	272	4	t	t	PROPN
eajbcs-1073	272	5	if	if	SCONJ
eajbcs-1073	272	6	uµ	uµ	PROPN
eajbcs-1073	272	7	t	t	PROPN
eajbcs-1073	272	8	≤	≤	NOUN
eajbcs-1073	272	9	ft(x	ft(x	NOUN
eajbcs-1073	272	10	)	)	PUNCT
eajbcs-1073	273	1	≤	≤	NUM
eajbcs-1073	273	2	umax	umax	PROPN
eajbcs-1073	273	3	t	t	PROPN
eajbcs-1073	273	4	(	(	PUNCT
eajbcs-1073	273	5	11	11	NUM
eajbcs-1073	273	6	)	)	PUNCT
eajbcs-1073	273	7	figure	figure	NOUN
eajbcs-1073	273	8	1	1	NUM
eajbcs-1073	273	9	:	:	PUNCT
eajbcs-1073	273	10	yager	yager	NOUN
eajbcs-1073	273	11	-	-	PUNCT
eajbcs-1073	273	12	membership	membership	NOUN
eajbcs-1073	273	13	function	function	NOUN
eajbcs-1073	273	14	iλt	iλt	PROPN
eajbcs-1073	273	15	(	(	PUNCT
eajbcs-1073	273	16	ft(x	ft(x	NOUN
eajbcs-1073	273	17	)	)	PUNCT
eajbcs-1073	273	18	)	)	PUNCT
eajbcs-1073	273	19	,	,	PUNCT
eajbcs-1073	273	20	(	(	PUNCT
eajbcs-1073	273	21	aggarwal	aggarwal	PROPN
eajbcs-1073	273	22	et.al	et.al	PROPN
eajbcs-1073	273	23	.	.	PROPN
eajbcs-1073	273	24	,	,	PUNCT
eajbcs-1073	273	25	2019	2019	NUM
eajbcs-1073	273	26	)	)	PUNCT
eajbcs-1073	273	27	and	and	CCONJ
eajbcs-1073	273	28	extended	extend	VERB
eajbcs-1073	273	29	yager	yager	NOUN
eajbcs-1073	273	30	-	-	PUNCT
eajbcs-1073	273	31	membership	membership	NOUN
eajbcs-1073	273	32	function	function	NOUN
eajbcs-1073	273	33	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	273	34	)	)	PUNCT
eajbcs-1073	273	35	)	)	PUNCT
eajbcs-1073	273	36	,	,	PUNCT
eajbcs-1073	273	37	(	(	PUNCT
eajbcs-1073	273	38	garai	garai	PROPN
eajbcs-1073	273	39	et.al	et.al	PROPN
eajbcs-1073	273	40	.	.	PROPN
eajbcs-1073	273	41	,	,	PUNCT
eajbcs-1073	273	42	2016	2016	NUM
eajbcs-1073	273	43	)	)	PUNCT
eajbcs-1073	273	44	for	for	ADP
eajbcs-1073	273	45	the	the	DET
eajbcs-1073	273	46	minimization	minimization	NOUN
eajbcs-1073	273	47	problem	problem	NOUN
eajbcs-1073	273	48	the	the	DET
eajbcs-1073	273	49	piecewise	piecewise	NOUN
eajbcs-1073	273	50	linear	linear	NOUN
eajbcs-1073	273	51	extended	extend	VERB
eajbcs-1073	273	52	yagermembership	yagermembership	NOUN
eajbcs-1073	273	53	function	function	PROPN
eajbcs-1073	273	54	eqs	eqs	PROPN
eajbcs-1073	273	55	.	.	PUNCT
eajbcs-1073	274	1	(	(	PUNCT
eajbcs-1073	274	2	11	11	NUM
eajbcs-1073	274	3	)	)	PUNCT
eajbcs-1073	274	4	has	have	VERB
eajbcs-1073	274	5	the	the	DET
eajbcs-1073	274	6	following	follow	VERB
eajbcs-1073	274	7	properties	property	NOUN
eajbcs-1073	274	8	:	:	PUNCT
eajbcs-1073	274	9	�	�	PROPN
eajbcs-1073	274	10	over	over	ADP
eajbcs-1073	274	11	the	the	DET
eajbcs-1073	274	12	interval	interval	NOUN
eajbcs-1073	274	13	containing	contain	VERB
eajbcs-1073	274	14	all	all	DET
eajbcs-1073	274	15	possible	possible	ADJ
eajbcs-1073	274	16	values	value	NOUN
eajbcs-1073	274	17	of	of	ADP
eajbcs-1073	274	18	the	the	DET
eajbcs-1073	274	19	objective	objective	ADJ
eajbcs-1073	274	20	function	function	NOUN
eajbcs-1073	274	21	,	,	PUNCT
eajbcs-1073	274	22	it	it	PRON
eajbcs-1073	274	23	is	be	AUX
eajbcs-1073	274	24	a	a	DET
eajbcs-1073	274	25	strictly	strictly	ADV
eajbcs-1073	274	26	monotonic	monotonic	ADJ
eajbcs-1073	274	27	function	function	NOUN
eajbcs-1073	274	28	.	.	PUNCT
eajbcs-1073	275	1	�	�	PROPN
eajbcs-1073	275	2	it	it	PRON
eajbcs-1073	275	3	permits	permit	VERB
eajbcs-1073	275	4	alternate	alternate	ADJ
eajbcs-1073	275	5	point	point	NOUN
eajbcs-1073	275	6	orderings	ordering	NOUN
eajbcs-1073	275	7	with	with	ADP
eajbcs-1073	275	8	yager	yager	NOUN
eajbcs-1073	275	9	-	-	PUNCT
eajbcs-1073	275	10	membership	membership	NOUN
eajbcs-1073	275	11	function	function	NOUN
eajbcs-1073	275	12	values	value	NOUN
eajbcs-1073	275	13	outside	outside	ADP
eajbcs-1073	275	14	of	of	ADP
eajbcs-1073	275	15	[	[	X
eajbcs-1073	275	16	0	0	NUM
eajbcs-1073	275	17	,	,	PUNCT
eajbcs-1073	275	18	1	1	NUM
eajbcs-1073	275	19	]	]	PUNCT
eajbcs-1073	275	20	.	.	PUNCT
eajbcs-1073	276	1	�	�	PROPN
eajbcs-1073	277	1	it	it	PRON
eajbcs-1073	277	2	is	be	AUX
eajbcs-1073	277	3	equivalent	equivalent	ADJ
eajbcs-1073	277	4	to	to	ADP
eajbcs-1073	277	5	the	the	DET
eajbcs-1073	277	6	yagermembership	yagermembership	NOUN
eajbcs-1073	277	7	function	function	VERB
eajbcs-1073	277	8	iλt	iλt	PROPN
eajbcs-1073	277	9	(	(	PUNCT
eajbcs-1073	277	10	ft(x	ft(x	NOUN
eajbcs-1073	277	11	)	)	PUNCT
eajbcs-1073	277	12	)	)	PUNCT
eajbcs-1073	277	13	eqs	eqs	PROPN
eajbcs-1073	277	14	.	.	PUNCT
eajbcs-1073	278	1	(	(	PUNCT
eajbcs-1073	278	2	10	10	NUM
eajbcs-1073	278	3	)	)	PUNCT
eajbcs-1073	278	4	on	on	ADP
eajbcs-1073	278	5	[	[	X
eajbcs-1073	278	6	lµ	lµ	X
eajbcs-1073	278	7	t	t	PROPN
eajbcs-1073	278	8	,	,	PUNCT
eajbcs-1073	278	9	u	u	PROPN
eajbcs-1073	278	10	µ	µ	X
eajbcs-1073	278	11	t	t	X
eajbcs-1073	278	12	]	]	PUNCT
eajbcs-1073	278	13	for	for	ADP
eajbcs-1073	278	14	each	each	DET
eajbcs-1073	278	15	t.	t.	PROPN
eajbcs-1073	278	16	�	�	PROPN
eajbcs-1073	278	17	if	if	SCONJ
eajbcs-1073	278	18	ft(x	ft(x	NOUN
eajbcs-1073	278	19	)	)	PUNCT
eajbcs-1073	279	1	<	<	X
eajbcs-1073	279	2	lµ	lµ	PROPN
eajbcs-1073	279	3	t	t	PROPN
eajbcs-1073	279	4	,	,	PUNCT
eajbcs-1073	279	5	then	then	ADV
eajbcs-1073	279	6	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	279	7	)	)	PUNCT
eajbcs-1073	279	8	)	)	PUNCT
eajbcs-1073	279	9	≥	≥	NOUN
eajbcs-1073	279	10	1	1	NUM
eajbcs-1073	279	11	,	,	PUNCT
eajbcs-1073	279	12	and	and	CCONJ
eajbcs-1073	279	13	if	if	SCONJ
eajbcs-1073	279	14	ft(x	ft(x	NOUN
eajbcs-1073	279	15	)	)	PUNCT
eajbcs-1073	279	16	>	>	X
eajbcs-1073	279	17	uµ	uµ	PROPN
eajbcs-1073	279	18	t	t	PROPN
eajbcs-1073	279	19	,	,	PUNCT
eajbcs-1073	279	20	then	then	ADV
eajbcs-1073	279	21	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	279	22	)	)	PUNCT
eajbcs-1073	279	23	)	)	PUNCT
eajbcs-1073	280	1	≤	≤	NUM
eajbcs-1073	280	2	0	0	X
eajbcs-1073	280	3	.	.	PUNCT
eajbcs-1073	281	1	�	�	PROPN
eajbcs-1073	281	2	it	it	PRON
eajbcs-1073	281	3	shows	show	VERB
eajbcs-1073	281	4	the	the	DET
eajbcs-1073	281	5	level	level	NOUN
eajbcs-1073	281	6	of	of	ADP
eajbcs-1073	281	7	satisfaction	satisfaction	NOUN
eajbcs-1073	281	8	of	of	ADP
eajbcs-1073	281	9	the	the	DET
eajbcs-1073	281	10	decision	decision	NOUN
eajbcs-1073	281	11	-	-	PUNCT
eajbcs-1073	281	12	maker	maker	NOUN
eajbcs-1073	281	13	for	for	ADP
eajbcs-1073	281	14	every	every	DET
eajbcs-1073	281	15	objective	objective	ADJ
eajbcs-1073	281	16	function	function	NOUN
eajbcs-1073	281	17	.	.	PUNCT
eajbcs-1073	282	1	additionally	additionally	ADV
eajbcs-1073	282	2	,	,	PUNCT
eajbcs-1073	282	3	we	we	PRON
eajbcs-1073	282	4	modified	modify	VERB
eajbcs-1073	282	5	these	these	DET
eajbcs-1073	282	6	piecewise	piecewise	NOUN
eajbcs-1073	282	7	48	48	NUM
eajbcs-1073	282	8	east	east	PROPN
eajbcs-1073	282	9	afr	afr	PROPN
eajbcs-1073	282	10	.	.	PUNCT
eajbcs-1073	283	1	j.	j.	PROPN
eajbcs-1073	283	2	biophys	biophys	PROPN
eajbcs-1073	283	3	.	.	PUNCT
eajbcs-1073	284	1	comput	comput	NOUN
eajbcs-1073	284	2	.	.	PUNCT
eajbcs-1073	285	1	sci	sci	PROPN
eajbcs-1073	285	2	.	.	PUNCT
eajbcs-1073	286	1	(	(	PUNCT
eajbcs-1073	286	2	2024	2024	NUM
eajbcs-1073	286	3	)	)	PUNCT
eajbcs-1073	286	4	,	,	PUNCT
eajbcs-1073	286	5	vol	vol	NOUN
eajbcs-1073	286	6	.	.	PROPN
eajbcs-1073	286	7	5	5	NUM
eajbcs-1073	286	8	,	,	PUNCT
eajbcs-1073	286	9	no	no	INTJ
eajbcs-1073	286	10	.	.	NOUN
eajbcs-1073	286	11	2	2	NUM
eajbcs-1073	286	12	,	,	PUNCT
eajbcs-1073	286	13	41	41	NUM
eajbcs-1073	286	14	-	-	SYM
eajbcs-1073	286	15	57	57	NUM
eajbcs-1073	286	16	linear	linear	ADJ
eajbcs-1073	286	17	extended	extend	VERB
eajbcs-1073	286	18	yager	yager	NOUN
eajbcs-1073	286	19	-	-	PUNCT
eajbcs-1073	286	20	membership	membership	NOUN
eajbcs-1073	286	21	functions	function	NOUN
eajbcs-1073	286	22	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	286	23	)	)	PUNCT
eajbcs-1073	286	24	)	)	PUNCT
eajbcs-1073	286	25	as	as	SCONJ
eajbcs-1073	286	26	follows	follow	VERB
eajbcs-1073	286	27	:	:	PUNCT
eajbcs-1073	286	28	based	base	VERB
eajbcs-1073	286	29	on	on	ADP
eajbcs-1073	286	30	the	the	DET
eajbcs-1073	286	31	method	method	NOUN
eajbcs-1073	286	32	suggested	suggest	VERB
eajbcs-1073	286	33	by	by	ADP
eajbcs-1073	286	34	wu	wu	PROPN
eajbcs-1073	286	35	and	and	CCONJ
eajbcs-1073	286	36	guu	guu	PROPN
eajbcs-1073	286	37	(	(	PUNCT
eajbcs-1073	286	38	2001	2001	NUM
eajbcs-1073	286	39	)	)	PUNCT
eajbcs-1073	286	40	to	to	PART
eajbcs-1073	286	41	solve	solve	VERB
eajbcs-1073	286	42	mopp	mopp	PROPN
eajbcs-1073	286	43	(	(	PUNCT
eajbcs-1073	286	44	1	1	NUM
eajbcs-1073	286	45	)	)	PUNCT
eajbcs-1073	286	46	under	under	ADP
eajbcs-1073	286	47	an	an	DET
eajbcs-1073	286	48	ifde	ifde	NOUN
eajbcs-1073	286	49	without	without	ADP
eajbcs-1073	286	50	introducing	introduce	VERB
eajbcs-1073	286	51	extra	extra	ADJ
eajbcs-1073	286	52	binary	binary	ADJ
eajbcs-1073	286	53	variables	variable	NOUN
eajbcs-1073	286	54	.	.	PUNCT
eajbcs-1073	287	1	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	287	2	)	)	PUNCT
eajbcs-1073	287	3	)	)	PUNCT
eajbcs-1073	288	1	=	=	PUNCT
eajbcs-1073	288	2	ηt(a	ηt(a	NUM
eajbcs-1073	288	3	1	1	NUM
eajbcs-1073	288	4	t	t	NOUN
eajbcs-1073	288	5	)	)	PUNCT
eajbcs-1073	289	1	+	+	PUNCT
eajbcs-1073	289	2	s1	s1	PROPN
eajbcs-1073	289	3	t	t	NOUN
eajbcs-1073	289	4	(	(	PUNCT
eajbcs-1073	289	5	ft(x)−	ft(x)−	PROPN
eajbcs-1073	289	6	a1	a1	PROPN
eajbcs-1073	289	7	t	t	PROPN
eajbcs-1073	289	8	)	)	PUNCT
eajbcs-1073	290	1	+	+	CCONJ
eajbcs-1073	290	2	m−1∑	m−1∑	NUM
eajbcs-1073	290	3	l=2	l=2	NOUN
eajbcs-1073	290	4	(	(	PUNCT
eajbcs-1073	290	5	slt	slt	X
eajbcs-1073	290	6	−	−	PROPN
eajbcs-1073	290	7	sl−1	sl−1	PROPN
eajbcs-1073	290	8	t	t	NOUN
eajbcs-1073	290	9	)	)	PUNCT
eajbcs-1073	290	10	2	2	NUM
eajbcs-1073	290	11	(	(	PUNCT
eajbcs-1073	290	12	|ft(x)−	|ft(x)−	PROPN
eajbcs-1073	290	13	alt|+	alt|+	NOUN
eajbcs-1073	290	14	ft(x)−	ft(x)−	PROPN
eajbcs-1073	290	15	alt	alt	PROPN
eajbcs-1073	290	16	)	)	PUNCT
eajbcs-1073	290	17	(	(	PUNCT
eajbcs-1073	290	18	12	12	NUM
eajbcs-1073	290	19	)	)	PUNCT
eajbcs-1073	290	20	where	where	SCONJ
eajbcs-1073	290	21	,	,	PUNCT
eajbcs-1073	290	22	alt	alt	ADJ
eajbcs-1073	290	23	,	,	PUNCT
eajbcs-1073	290	24	l	l	NOUN
eajbcs-1073	290	25	=	=	SYM
eajbcs-1073	290	26	1	1	NUM
eajbcs-1073	290	27	,	,	PUNCT
eajbcs-1073	290	28	2	2	NUM
eajbcs-1073	290	29	,	,	PUNCT
eajbcs-1073	290	30	3	3	NUM
eajbcs-1073	290	31	,	,	PUNCT
eajbcs-1073	290	32	.	.	PUNCT
eajbcs-1073	290	33	.	.	PUNCT
eajbcs-1073	290	34	.	.	PUNCT
eajbcs-1073	291	1	,	,	PUNCT
eajbcs-1073	291	2	m	m	NOUN
eajbcs-1073	291	3	are	be	AUX
eajbcs-1073	291	4	the	the	DET
eajbcs-1073	291	5	breaking/	breaking/	NUM
eajbcs-1073	291	6	jumping	jumping	NOUN
eajbcs-1073	291	7	points	point	NOUN
eajbcs-1073	291	8	of	of	ADP
eajbcs-1073	291	9	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	291	10	)	)	PUNCT
eajbcs-1073	291	11	)	)	PUNCT
eajbcs-1073	291	12	,	,	PUNCT
eajbcs-1073	291	13	t	t	NOUN
eajbcs-1073	291	14	=	=	SYM
eajbcs-1073	291	15	1	1	NUM
eajbcs-1073	291	16	,	,	PUNCT
eajbcs-1073	291	17	.	.	PUNCT
eajbcs-1073	291	18	.	.	PUNCT
eajbcs-1073	292	1	.	.	PUNCT
eajbcs-1073	293	1	,	,	PUNCT
eajbcs-1073	293	2	k	k	NOUN
eajbcs-1073	293	3	,	,	PUNCT
eajbcs-1073	293	4	the	the	DET
eajbcs-1073	293	5	slope	slope	NOUN
eajbcs-1073	293	6	of	of	ADP
eajbcs-1073	293	7	line	line	NOUN
eajbcs-1073	293	8	segment	segment	NOUN
eajbcs-1073	293	9	between	between	ADP
eajbcs-1073	293	10	alt	alt	PROPN
eajbcs-1073	293	11	and	and	CCONJ
eajbcs-1073	293	12	a	a	DET
eajbcs-1073	293	13	l+1	l+1	PROPN
eajbcs-1073	293	14	t	t	PROPN
eajbcs-1073	293	15	is	be	AUX
eajbcs-1073	293	16	given	give	VERB
eajbcs-1073	293	17	by	by	ADP
eajbcs-1073	293	18	slt	slt	NOUN
eajbcs-1073	293	19	=	=	NOUN
eajbcs-1073	293	20	ηt(a	ηt(a	NOUN
eajbcs-1073	293	21	l+1	l+1	PROPN
eajbcs-1073	293	22	t	t	NOUN
eajbcs-1073	293	23	)	)	PUNCT
eajbcs-1073	293	24	−ηt(alt	−ηt(alt	NOUN
eajbcs-1073	293	25	)	)	PUNCT
eajbcs-1073	293	26	al+1	al+1	PROPN
eajbcs-1073	293	27	t	t	NOUN
eajbcs-1073	293	28	−alt	−alt	NOUN
eajbcs-1073	293	29	for	for	ADP
eajbcs-1073	293	30	l	l	NOUN
eajbcs-1073	293	31	=	=	SYM
eajbcs-1073	293	32	1	1	NUM
eajbcs-1073	293	33	,	,	PUNCT
eajbcs-1073	293	34	.	.	PUNCT
eajbcs-1073	293	35	.	.	PUNCT
eajbcs-1073	293	36	.	.	PUNCT
eajbcs-1073	294	1	,	,	PUNCT
eajbcs-1073	294	2	m−	m−	PROPN
eajbcs-1073	294	3	1	1	NUM
eajbcs-1073	294	4	;	;	PUNCT
eajbcs-1073	294	5	t	t	NOUN
eajbcs-1073	294	6	=	=	SYM
eajbcs-1073	294	7	1	1	NUM
eajbcs-1073	294	8	,	,	PUNCT
eajbcs-1073	294	9	2	2	NUM
eajbcs-1073	294	10	,	,	PUNCT
eajbcs-1073	294	11	.	.	PUNCT
eajbcs-1073	294	12	.	.	PUNCT
eajbcs-1073	294	13	.	.	PUNCT
eajbcs-1073	295	1	,	,	PUNCT
eajbcs-1073	295	2	k.	k.	PROPN
eajbcs-1073	295	3	4.2	4.2	NUM
eajbcs-1073	295	4	.	.	PUNCT
eajbcs-1073	296	1	develop	develop	VERB
eajbcs-1073	296	2	a	a	DET
eajbcs-1073	296	3	new	new	ADJ
eajbcs-1073	296	4	intuitionistic	intuitionistic	ADJ
eajbcs-1073	296	5	fuzzy	fuzzy	ADJ
eajbcs-1073	296	6	(	(	PUNCT
eajbcs-1073	296	7	if	if	SCONJ
eajbcs-1073	296	8	)	)	PUNCT
eajbcs-1073	296	9	aggregation	aggregation	NOUN
eajbcs-1073	296	10	operator	operator	NOUN
eajbcs-1073	296	11	a	a	DET
eajbcs-1073	296	12	number	number	NOUN
eajbcs-1073	296	13	of	of	ADP
eajbcs-1073	296	14	logical	logical	ADJ
eajbcs-1073	296	15	operators	operator	NOUN
eajbcs-1073	296	16	are	be	AUX
eajbcs-1073	296	17	available	available	ADJ
eajbcs-1073	296	18	in	in	ADP
eajbcs-1073	296	19	the	the	DET
eajbcs-1073	296	20	ifde	ifde	NOUN
eajbcs-1073	296	21	,	,	PUNCT
eajbcs-1073	296	22	enabling	enable	VERB
eajbcs-1073	296	23	the	the	DET
eajbcs-1073	296	24	combination	combination	NOUN
eajbcs-1073	296	25	of	of	ADP
eajbcs-1073	296	26	numerous	numerous	ADJ
eajbcs-1073	296	27	objectives	objective	NOUN
eajbcs-1073	296	28	into	into	ADP
eajbcs-1073	296	29	a	a	DET
eajbcs-1073	296	30	single	single	ADJ
eajbcs-1073	296	31	objective	objective	NOUN
eajbcs-1073	296	32	.	.	PUNCT
eajbcs-1073	297	1	we	we	PRON
eajbcs-1073	297	2	employed	employ	VERB
eajbcs-1073	297	3	the	the	DET
eajbcs-1073	297	4	convex	convex	ADJ
eajbcs-1073	297	5	combination	combination	NOUN
eajbcs-1073	297	6	of	of	ADP
eajbcs-1073	297	7	the	the	DET
eajbcs-1073	297	8	arithmetic	arithmetic	ADJ
eajbcs-1073	297	9	mean	mean	ADJ
eajbcs-1073	297	10	-	-	PUNCT
eajbcs-1073	297	11	operator	operator	NOUN
eajbcs-1073	297	12	and	and	CCONJ
eajbcs-1073	297	13	the	the	DET
eajbcs-1073	297	14	max	max	PROPN
eajbcs-1073	297	15	-	-	PUNCT
eajbcs-1073	297	16	min	min	NOUN
eajbcs-1073	297	17	operator	operator	NOUN
eajbcs-1073	297	18	on	on	ADP
eajbcs-1073	297	19	the	the	DET
eajbcs-1073	297	20	extended	extend	VERB
eajbcs-1073	297	21	yager	yager	NOUN
eajbcs-1073	297	22	-	-	PUNCT
eajbcs-1073	297	23	membership	membership	NOUN
eajbcs-1073	297	24	functions	function	NOUN
eajbcs-1073	297	25	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	297	26	)	)	PUNCT
eajbcs-1073	297	27	)	)	PUNCT
eajbcs-1073	297	28	eqs	eqs	PROPN
eajbcs-1073	297	29	.	.	PUNCT
eajbcs-1073	298	1	(	(	PUNCT
eajbcs-1073	298	2	11	11	NUM
eajbcs-1073	298	3	)	)	PUNCT
eajbcs-1073	298	4	in	in	ADP
eajbcs-1073	298	5	order	order	NOUN
eajbcs-1073	298	6	to	to	PART
eajbcs-1073	298	7	create	create	VERB
eajbcs-1073	298	8	a	a	DET
eajbcs-1073	298	9	novel	novel	ADJ
eajbcs-1073	298	10	operator	operator	NOUN
eajbcs-1073	298	11	in	in	ADP
eajbcs-1073	298	12	the	the	DET
eajbcs-1073	298	13	ifde	ifde	NOUN
eajbcs-1073	298	14	.	.	PUNCT
eajbcs-1073	299	1	therefore	therefore	ADV
eajbcs-1073	299	2	,	,	PUNCT
eajbcs-1073	299	3	the	the	DET
eajbcs-1073	299	4	new	new	ADJ
eajbcs-1073	299	5	if	if	SCONJ
eajbcs-1073	299	6	aggregation	aggregation	NOUN
eajbcs-1073	299	7	operator	operator	NOUN
eajbcs-1073	299	8	is	be	AUX
eajbcs-1073	299	9	formulated	formulate	VERB
eajbcs-1073	299	10	as	as	ADP
eajbcs-1073	299	11	:	:	PUNCT
eajbcs-1073	299	12	ηd̃i	ηd̃i	X
eajbcs-1073	299	13	(	(	PUNCT
eajbcs-1073	299	14	x	x	X
eajbcs-1073	299	15	)	)	PUNCT
eajbcs-1073	299	16	=	=	SYM
eajbcs-1073	299	17	δ	δ	PROPN
eajbcs-1073	299	18	mink	mink	NOUN
eajbcs-1073	299	19	t=1ηt(ft(x))+(1−δ	t=1ηt(ft(x))+(1−δ	NOUN
eajbcs-1073	299	20	)	)	PUNCT
eajbcs-1073	299	21	1	1	NUM
eajbcs-1073	299	22	k	k	X
eajbcs-1073	299	23	k∑	k∑	PROPN
eajbcs-1073	299	24	t=1	t=1	PUNCT
eajbcs-1073	299	25	ηt(ft(x	ηt(ft(x	PROPN
eajbcs-1073	299	26	)	)	PUNCT
eajbcs-1073	299	27	)	)	PUNCT
eajbcs-1073	299	28	,	,	PUNCT
eajbcs-1073	299	29	(	(	PUNCT
eajbcs-1073	299	30	13	13	NUM
eajbcs-1073	299	31	)	)	PUNCT
eajbcs-1073	299	32	where	where	SCONJ
eajbcs-1073	299	33	0	0	NUM
eajbcs-1073	299	34	<	<	X
eajbcs-1073	299	35	δ	δ	X
eajbcs-1073	299	36	<	<	X
eajbcs-1073	299	37	1	1	NUM
eajbcs-1073	299	38	represent	represent	VERB
eajbcs-1073	299	39	the	the	DET
eajbcs-1073	299	40	degree	degree	NOUN
eajbcs-1073	299	41	of	of	ADP
eajbcs-1073	299	42	preference	preference	NOUN
eajbcs-1073	299	43	of	of	ADP
eajbcs-1073	299	44	dms	dms	PROPN
eajbcs-1073	299	45	.	.	PUNCT
eajbcs-1073	300	1	using	use	VERB
eajbcs-1073	300	2	this	this	DET
eajbcs-1073	300	3	novel	novel	NOUN
eajbcs-1073	300	4	if	if	SCONJ
eajbcs-1073	300	5	aggregation	aggregation	NOUN
eajbcs-1073	300	6	operator	operator	NOUN
eajbcs-1073	300	7	and	and	CCONJ
eajbcs-1073	300	8	decision	decision	NOUN
eajbcs-1073	300	9	-	-	PUNCT
eajbcs-1073	300	10	makers	maker	NOUN
eajbcs-1073	300	11	’	’	PART
eajbcs-1073	300	12	preference	preference	NOUN
eajbcs-1073	300	13	value	value	NOUN
eajbcs-1073	300	14	δ	δ	PROPN
eajbcs-1073	300	15	∈	∈	PROPN
eajbcs-1073	301	1	[	[	X
eajbcs-1073	301	2	0	0	NUM
eajbcs-1073	301	3	,	,	PUNCT
eajbcs-1073	301	4	1	1	NUM
eajbcs-1073	301	5	]	]	PUNCT
eajbcs-1073	301	6	,	,	PUNCT
eajbcs-1073	301	7	the	the	DET
eajbcs-1073	301	8	if	if	NOUN
eajbcs-1073	301	9	-	-	PUNCT
eajbcs-1073	301	10	moldmp	moldmp	NOUN
eajbcs-1073	301	11	(	(	PUNCT
eajbcs-1073	301	12	2	2	NUM
eajbcs-1073	301	13	)	)	PUNCT
eajbcs-1073	301	14	is	be	AUX
eajbcs-1073	301	15	transformed	transform	VERB
eajbcs-1073	301	16	into	into	ADP
eajbcs-1073	301	17	a	a	DET
eajbcs-1073	301	18	crisp	crisp	ADJ
eajbcs-1073	301	19	single	single	ADJ
eajbcs-1073	301	20	-	-	PUNCT
eajbcs-1073	301	21	objective	objective	ADJ
eajbcs-1073	301	22	optimization	optimization	NOUN
eajbcs-1073	301	23	problem	problem	NOUN
eajbcs-1073	301	24	to	to	PART
eajbcs-1073	301	25	determine	determine	VERB
eajbcs-1073	301	26	the	the	DET
eajbcs-1073	301	27	pareto	pareto	VERB
eajbcs-1073	301	28	-	-	PUNCT
eajbcs-1073	301	29	optimal	optimal	ADJ
eajbcs-1073	301	30	solution	solution	NOUN
eajbcs-1073	301	31	based	base	VERB
eajbcs-1073	301	32	on	on	ADP
eajbcs-1073	301	33	eqs.(14	eqs.(14	PROPN
eajbcs-1073	301	34	)	)	PUNCT
eajbcs-1073	301	35	.	.	PUNCT
eajbcs-1073	302	1	max	max	PROPN
eajbcs-1073	302	2	x∈s	x∈s	PROPN
eajbcs-1073	302	3	ηd̃i	ηd̃i	PROPN
eajbcs-1073	302	4	(	(	PUNCT
eajbcs-1073	302	5	x	x	X
eajbcs-1073	302	6	)	)	PUNCT
eajbcs-1073	302	7	(	(	PUNCT
eajbcs-1073	302	8	14	14	NUM
eajbcs-1073	302	9	)	)	PUNCT
eajbcs-1073	302	10	therefore	therefore	ADV
eajbcs-1073	302	11	,	,	PUNCT
eajbcs-1073	302	12	using	use	VERB
eajbcs-1073	302	13	a	a	DET
eajbcs-1073	302	14	non	non	ADJ
eajbcs-1073	302	15	-	-	ADJ
eajbcs-1073	302	16	negative	negative	ADJ
eajbcs-1073	302	17	variable	variable	ADJ
eajbcs-1073	302	18	qlt	qlt	NOUN
eajbcs-1073	302	19	,	,	PUNCT
eajbcs-1073	302	20	the	the	DET
eajbcs-1073	302	21	extended	extended	ADJ
eajbcs-1073	302	22	yager	yager	NOUN
eajbcs-1073	302	23	-	-	PUNCT
eajbcs-1073	302	24	membership	membership	NOUN
eajbcs-1073	302	25	function	function	NOUN
eajbcs-1073	302	26	defined	define	VERB
eajbcs-1073	302	27	in	in	ADP
eajbcs-1073	302	28	eqs.(12	eqs.(12	PROPN
eajbcs-1073	302	29	)	)	PUNCT
eajbcs-1073	302	30	,	,	PUNCT
eajbcs-1073	302	31	and	and	CCONJ
eajbcs-1073	302	32	the	the	DET
eajbcs-1073	302	33	if	if	SCONJ
eajbcs-1073	302	34	aggregation	aggregation	NOUN
eajbcs-1073	302	35	operator	operator	NOUN
eajbcs-1073	302	36	defined	define	VERB
eajbcs-1073	302	37	in	in	ADP
eajbcs-1073	302	38	(	(	PUNCT
eajbcs-1073	302	39	13	13	NUM
eajbcs-1073	302	40	)	)	PUNCT
eajbcs-1073	302	41	,	,	PUNCT
eajbcs-1073	302	42	the	the	DET
eajbcs-1073	302	43	equivalent	equivalent	ADJ
eajbcs-1073	302	44	deterministic	deterministic	ADJ
eajbcs-1073	302	45	single	single	ADJ
eajbcs-1073	302	46	-	-	PUNCT
eajbcs-1073	302	47	objective	objective	ADJ
eajbcs-1073	302	48	optimization	optimization	NOUN
eajbcs-1073	302	49	problem	problem	NOUN
eajbcs-1073	302	50	of	of	ADP
eajbcs-1073	302	51	model	model	NOUN
eajbcs-1073	302	52	(	(	PUNCT
eajbcs-1073	302	53	14	14	NUM
eajbcs-1073	302	54	)	)	PUNCT
eajbcs-1073	302	55	is	be	AUX
eajbcs-1073	302	56	formulated	formulate	VERB
eajbcs-1073	302	57	as	as	SCONJ
eajbcs-1073	302	58	follows	follow	VERB
eajbcs-1073	302	59	:	:	PUNCT
eajbcs-1073	302	60	model	model	NOUN
eajbcs-1073	303	1	i	i	PRON
eajbcs-1073	303	2	:	:	PUNCT
eajbcs-1073	303	3	max	max	PROPN
eajbcs-1073	303	4	δα0	δα0	PROPN
eajbcs-1073	303	5	+	+	CCONJ
eajbcs-1073	303	6	(	(	PUNCT
eajbcs-1073	303	7	1−	1−	NUM
eajbcs-1073	303	8	δ	δ	PROPN
eajbcs-1073	303	9	)	)	PUNCT
eajbcs-1073	303	10	k∑	k∑	PROPN
eajbcs-1073	304	1	t=1	t=1	PROPN
eajbcs-1073	304	2	αt	αt	ADP
eajbcs-1073	304	3	subject	subject	ADJ
eajbcs-1073	304	4	to	to	ADP
eajbcs-1073	304	5	:	:	PUNCT
eajbcs-1073	304	6			VERB
eajbcs-1073	304	7	α0	α0	ADJ
eajbcs-1073	304	8	+	+	CCONJ
eajbcs-1073	304	9	αt	αt	NOUN
eajbcs-1073	304	10	≤	≤	X
eajbcs-1073	304	11	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	304	12	)	)	PUNCT
eajbcs-1073	304	13	)	)	PUNCT
eajbcs-1073	304	14	for	for	ADP
eajbcs-1073	304	15	t	t	NOUN
eajbcs-1073	304	16	=	=	SYM
eajbcs-1073	304	17	1	1	NUM
eajbcs-1073	304	18	,	,	PUNCT
eajbcs-1073	304	19	2	2	NUM
eajbcs-1073	304	20	,	,	PUNCT
eajbcs-1073	304	21	.	.	PUNCT
eajbcs-1073	304	22	.	.	PUNCT
eajbcs-1073	305	1	.	.	PUNCT
eajbcs-1073	306	1	,	,	PUNCT
eajbcs-1073	306	2	k.	k.	PROPN
eajbcs-1073	306	3	ηt(ft(x	ηt(ft(x	PROPN
eajbcs-1073	306	4	)	)	PUNCT
eajbcs-1073	306	5	)	)	PUNCT
eajbcs-1073	307	1	=	=	PUNCT
eajbcs-1073	307	2	ηt(a	ηt(a	NUM
eajbcs-1073	307	3	1	1	NUM
eajbcs-1073	307	4	t	t	NOUN
eajbcs-1073	307	5	)	)	PUNCT
eajbcs-1073	308	1	+	+	PUNCT
eajbcs-1073	308	2	s1	s1	PROPN
eajbcs-1073	308	3	t	t	NOUN
eajbcs-1073	308	4	(	(	PUNCT
eajbcs-1073	308	5	ft(x)−	ft(x)−	PROPN
eajbcs-1073	308	6	a1	a1	PROPN
eajbcs-1073	308	7	t	t	PROPN
eajbcs-1073	308	8	)	)	PUNCT
eajbcs-1073	308	9	+	+	CCONJ
eajbcs-1073	308	10	·	·	PUNCT
eajbcs-1073	308	11	·	·	PUNCT
eajbcs-1073	308	12	·	·	PUNCT
eajbcs-1073	308	13	+	+	CCONJ
eajbcs-1073	308	14	(	(	PUNCT
eajbcs-1073	308	15	sm−1	sm−1	NOUN
eajbcs-1073	308	16	t	t	VERB
eajbcs-1073	308	17	−	−	PROPN
eajbcs-1073	309	1	sm−2	sm−2	PROPN
eajbcs-1073	309	2	t	t	PROPN
eajbcs-1073	309	3	)	)	PUNCT
eajbcs-1073	309	4	(	(	PUNCT
eajbcs-1073	309	5	ft(x)−	ft(x)−	PROPN
eajbcs-1073	309	6	am−1	am−1	PROPN
eajbcs-1073	309	7	t	t	PROPN
eajbcs-1073	309	8	+	+	CCONJ
eajbcs-1073	309	9	qm−2	qm−2	PROPN
eajbcs-1073	309	10	t	t	PROPN
eajbcs-1073	309	11	)	)	PUNCT
eajbcs-1073	309	12	ft(x	ft(x	NUM
eajbcs-1073	309	13	)	)	PUNCT
eajbcs-1073	310	1	+	+	CCONJ
eajbcs-1073	310	2	ql−2	ql−2	PROPN
eajbcs-1073	310	3	t	t	PROPN
eajbcs-1073	310	4	≥	≥	NOUN
eajbcs-1073	310	5	al−1	al−1	ADP
eajbcs-1073	310	6	t	t	PROPN
eajbcs-1073	310	7	for	for	ADP
eajbcs-1073	310	8	l	l	NOUN
eajbcs-1073	310	9	=	=	SYM
eajbcs-1073	310	10	3	3	NUM
eajbcs-1073	310	11	,	,	PUNCT
eajbcs-1073	310	12	4	4	NUM
eajbcs-1073	310	13	,	,	PUNCT
eajbcs-1073	310	14	.	.	PUNCT
eajbcs-1073	310	15	.	.	PUNCT
eajbcs-1073	310	16	.	.	PUNCT
eajbcs-1073	311	1	,	,	PUNCT
eajbcs-1073	311	2	m	m	VERB
eajbcs-1073	311	3	α0	α0	ADJ
eajbcs-1073	311	4	,	,	PUNCT
eajbcs-1073	311	5	αt	αt	NOUN
eajbcs-1073	311	6	,	,	PUNCT
eajbcs-1073	311	7	q	q	PUNCT
eajbcs-1073	312	1	l−2	l−2	NOUN
eajbcs-1073	312	2	t	t	X
eajbcs-1073	312	3	≥	≥	NOUN
eajbcs-1073	312	4	0	0	NUM
eajbcs-1073	312	5	for	for	ADP
eajbcs-1073	312	6	t	t	NOUN
eajbcs-1073	312	7	=	=	SYM
eajbcs-1073	312	8	1	1	NUM
eajbcs-1073	312	9	,	,	PUNCT
eajbcs-1073	312	10	2	2	NUM
eajbcs-1073	312	11	,	,	PUNCT
eajbcs-1073	312	12	.	.	PUNCT
eajbcs-1073	312	13	.	.	PUNCT
eajbcs-1073	312	14	.	.	PUNCT
eajbcs-1073	313	1	,	,	PUNCT
eajbcs-1073	313	2	k	k	NOUN
eajbcs-1073	313	3	;	;	PUNCT
eajbcs-1073	313	4	l	l	NOUN
eajbcs-1073	313	5	=	=	SYM
eajbcs-1073	313	6	3	3	NUM
eajbcs-1073	313	7	,	,	PUNCT
eajbcs-1073	313	8	4	4	NUM
eajbcs-1073	313	9	,	,	PUNCT
eajbcs-1073	313	10	.	.	PUNCT
eajbcs-1073	313	11	.	.	PUNCT
eajbcs-1073	313	12	.	.	PUNCT
eajbcs-1073	314	1	,	,	PUNCT
eajbcs-1073	314	2	m.	m.	NOUN
eajbcs-1073	314	3	x	x	PUNCT
eajbcs-1073	314	4	∈	∈	NOUN
eajbcs-1073	314	5	s	s	PART
eajbcs-1073	314	6			NOUN
eajbcs-1073	314	7	(	(	PUNCT
eajbcs-1073	314	8	15	15	NUM
eajbcs-1073	314	9	)	)	PUNCT
eajbcs-1073	314	10	4.3	4.3	NUM
eajbcs-1073	314	11	.	.	PUNCT
eajbcs-1073	315	1	the	the	DET
eajbcs-1073	315	2	intuitionistic	intuitionistic	ADJ
eajbcs-1073	315	3	fuzzy	fuzzy	ADJ
eajbcs-1073	315	4	goal	goal	NOUN
eajbcs-1073	315	5	programming	programming	NOUN
eajbcs-1073	315	6	method	method	NOUN
eajbcs-1073	315	7	the	the	DET
eajbcs-1073	315	8	higher	high	ADJ
eajbcs-1073	315	9	-	-	PUNCT
eajbcs-1073	315	10	value	value	NOUN
eajbcs-1073	315	11	of	of	ADP
eajbcs-1073	315	12	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	315	13	)	)	PUNCT
eajbcs-1073	315	14	)	)	PUNCT
eajbcs-1073	315	15	is	be	AUX
eajbcs-1073	315	16	regarded	regard	VERB
eajbcs-1073	315	17	as	as	ADP
eajbcs-1073	315	18	the	the	DET
eajbcs-1073	315	19	best	well	ADV
eajbcs-1073	315	20	acceptable	acceptable	ADJ
eajbcs-1073	315	21	value	value	NOUN
eajbcs-1073	315	22	for	for	ADP
eajbcs-1073	315	23	dms	dms	NOUN
eajbcs-1073	315	24	in	in	ADP
eajbcs-1073	315	25	the	the	DET
eajbcs-1073	315	26	ifde	ifde	NOUN
eajbcs-1073	315	27	.	.	PUNCT
eajbcs-1073	316	1	as	as	ADP
eajbcs-1073	316	2	a	a	DET
eajbcs-1073	316	3	result	result	NOUN
eajbcs-1073	316	4	,	,	PUNCT
eajbcs-1073	316	5	dms	dm	NOUN
eajbcs-1073	316	6	must	must	AUX
eajbcs-1073	316	7	minimize	minimize	VERB
eajbcs-1073	316	8	the	the	DET
eajbcs-1073	316	9	under	under	NOUN
eajbcs-1073	316	10	-	-	PUNCT
eajbcs-1073	316	11	achievement	achievement	NOUN
eajbcs-1073	316	12	(	(	PUNCT
eajbcs-1073	316	13	negative	negative	ADJ
eajbcs-1073	316	14	-	-	PUNCT
eajbcs-1073	316	15	deviational	deviational	ADJ
eajbcs-1073	316	16	)	)	PUNCT
eajbcs-1073	316	17	variable	variable	ADJ
eajbcs-1073	316	18	d−t	d−t	NOUN
eajbcs-1073	316	19	by	by	ADP
eajbcs-1073	316	20	assigning	assign	VERB
eajbcs-1073	316	21	weight	weight	NOUN
eajbcs-1073	316	22	w−	w−	NOUN
eajbcs-1073	316	23	t	t	NOUN
eajbcs-1073	316	24	to	to	ADP
eajbcs-1073	316	25	each	each	DET
eajbcs-1073	316	26	objective	objective	ADJ
eajbcs-1073	316	27	function	function	NOUN
eajbcs-1073	316	28	t	t	NOUN
eajbcs-1073	316	29	in	in	ADP
eajbcs-1073	316	30	the	the	DET
eajbcs-1073	316	31	goal	goal	NOUN
eajbcs-1073	316	32	programming	programming	NOUN
eajbcs-1073	316	33	approach	approach	NOUN
eajbcs-1073	316	34	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	316	35	)	)	PUNCT
eajbcs-1073	316	36	)	)	PUNCT
eajbcs-1073	317	1	+	+	CCONJ
eajbcs-1073	317	2	d−t	d−t	NOUN
eajbcs-1073	317	3	≥	≥	NOUN
eajbcs-1073	317	4	1	1	NUM
eajbcs-1073	317	5	.	.	PUNCT
eajbcs-1073	317	6	therefore	therefore	ADV
eajbcs-1073	317	7	,	,	PUNCT
eajbcs-1073	317	8	the	the	DET
eajbcs-1073	317	9	intuitionistic	intuitionistic	ADJ
eajbcs-1073	317	10	fuzzy	fuzzy	ADJ
eajbcs-1073	317	11	goal	goal	NOUN
eajbcs-1073	317	12	programming	programming	NOUN
eajbcs-1073	317	13	(	(	PUNCT
eajbcs-1073	317	14	ifgp	ifgp	NOUN
eajbcs-1073	317	15	)	)	PUNCT
eajbcs-1073	317	16	east	east	PROPN
eajbcs-1073	317	17	afr	afr	PROPN
eajbcs-1073	317	18	.	.	PUNCT
eajbcs-1073	318	1	j.	j.	PROPN
eajbcs-1073	318	2	biophys	biophys	PROPN
eajbcs-1073	318	3	.	.	PUNCT
eajbcs-1073	319	1	comput	comput	NOUN
eajbcs-1073	319	2	.	.	PUNCT
eajbcs-1073	320	1	sci	sci	PROPN
eajbcs-1073	320	2	.	.	PUNCT
eajbcs-1073	321	1	(	(	PUNCT
eajbcs-1073	321	2	2024	2024	NUM
eajbcs-1073	321	3	)	)	PUNCT
eajbcs-1073	321	4	,	,	PUNCT
eajbcs-1073	321	5	vol	vol	NOUN
eajbcs-1073	321	6	.	.	PROPN
eajbcs-1073	321	7	5	5	NUM
eajbcs-1073	321	8	,	,	PUNCT
eajbcs-1073	321	9	no	no	INTJ
eajbcs-1073	321	10	.	.	NOUN
eajbcs-1073	321	11	2	2	NUM
eajbcs-1073	321	12	,	,	PUNCT
eajbcs-1073	321	13	41	41	NUM
eajbcs-1073	321	14	-	-	SYM
eajbcs-1073	321	15	57	57	NUM
eajbcs-1073	321	16	49	49	NUM
eajbcs-1073	321	17	model	model	NOUN
eajbcs-1073	321	18	of	of	ADP
eajbcs-1073	321	19	if	if	SCONJ
eajbcs-1073	321	20	-	-	PUNCT
eajbcs-1073	321	21	moldmp	moldmp	NOUN
eajbcs-1073	321	22	(	(	PUNCT
eajbcs-1073	321	23	2	2	NUM
eajbcs-1073	321	24	)	)	PUNCT
eajbcs-1073	321	25	is	be	AUX
eajbcs-1073	321	26	formulated	formulate	VERB
eajbcs-1073	321	27	as	as	SCONJ
eajbcs-1073	321	28	follows	follow	VERB
eajbcs-1073	321	29	:	:	PUNCT
eajbcs-1073	321	30	model	model	PROPN
eajbcs-1073	321	31	ii	ii	PROPN
eajbcs-1073	321	32	:	:	PUNCT
eajbcs-1073	321	33	min	min	PROPN
eajbcs-1073	321	34	k∑	k∑	PROPN
eajbcs-1073	321	35	t=1	t=1	PROPN
eajbcs-1073	321	36	w−	w−	PROPN
eajbcs-1073	322	1	t	t	NOUN
eajbcs-1073	322	2	d	d	NOUN
eajbcs-1073	322	3	−	−	PROPN
eajbcs-1073	322	4	t	t	PROPN
eajbcs-1073	322	5	subject	subject	NOUN
eajbcs-1073	322	6	to	to	ADP
eajbcs-1073	322	7	:	:	PUNCT
eajbcs-1073	322	8			PUNCT
eajbcs-1073	322	9	ηt(ft(x	ηt(ft(x	NOUN
eajbcs-1073	322	10	)	)	PUNCT
eajbcs-1073	322	11	)	)	PUNCT
eajbcs-1073	323	1	+	+	CCONJ
eajbcs-1073	323	2	d−t	d−t	NOUN
eajbcs-1073	323	3	≥	≥	NOUN
eajbcs-1073	323	4	1	1	NUM
eajbcs-1073	323	5	for	for	ADP
eajbcs-1073	323	6	t	t	NOUN
eajbcs-1073	323	7	=	=	SYM
eajbcs-1073	323	8	1	1	NUM
eajbcs-1073	323	9	,	,	PUNCT
eajbcs-1073	323	10	2	2	NUM
eajbcs-1073	323	11	,	,	PUNCT
eajbcs-1073	323	12	3	3	NUM
eajbcs-1073	323	13	,	,	PUNCT
eajbcs-1073	323	14	.	.	PUNCT
eajbcs-1073	323	15	.	.	PUNCT
eajbcs-1073	323	16	.	.	PUNCT
eajbcs-1073	324	1	,	,	PUNCT
eajbcs-1073	324	2	k	k	X
eajbcs-1073	324	3	x	x	PUNCT
eajbcs-1073	324	4	∈	∈	PROPN
eajbcs-1073	324	5	s	s	VERB
eajbcs-1073	324	6	d−t	d−t	NOUN
eajbcs-1073	324	7	≥	≥	NOUN
eajbcs-1073	324	8	0	0	NUM
eajbcs-1073	324	9	,	,	PUNCT
eajbcs-1073	324	10	∑k	∑k	PROPN
eajbcs-1073	324	11	t=1w	t=1w	NOUN
eajbcs-1073	324	12	−	−	PROPN
eajbcs-1073	324	13	t	t	NOUN
eajbcs-1073	324	14	=	=	SYM
eajbcs-1073	324	15	1	1	NUM
eajbcs-1073	324	16	,	,	PUNCT
eajbcs-1073	325	1	w−	w−	PROPN
eajbcs-1073	325	2	t	t	NOUN
eajbcs-1073	325	3	>	>	X
eajbcs-1073	325	4	0	0	PUNCT
eajbcs-1073	326	1			NOUN
eajbcs-1073	326	2	(	(	PUNCT
eajbcs-1073	326	3	16	16	NUM
eajbcs-1073	326	4	)	)	PUNCT
eajbcs-1073	326	5	4.4	4.4	NUM
eajbcs-1073	326	6	.	.	PUNCT
eajbcs-1073	327	1	interactive	interactive	ADJ
eajbcs-1073	327	2	penalty	penalty	NOUN
eajbcs-1073	327	3	function	function	NOUN
eajbcs-1073	327	4	method	method	NOUN
eajbcs-1073	327	5	(	(	PUNCT
eajbcs-1073	327	6	ipfm	ipfm	NOUN
eajbcs-1073	327	7	)	)	PUNCT
eajbcs-1073	327	8	in	in	ADP
eajbcs-1073	327	9	an	an	DET
eajbcs-1073	327	10	intuitionistic	intuitionistic	ADJ
eajbcs-1073	327	11	fuzzy	fuzzy	ADJ
eajbcs-1073	327	12	decision	decision	NOUN
eajbcs-1073	327	13	environment	environment	NOUN
eajbcs-1073	327	14	(	(	PUNCT
eajbcs-1073	327	15	ifde	ifde	NOUN
eajbcs-1073	327	16	)	)	PUNCT
eajbcs-1073	327	17	,	,	PUNCT
eajbcs-1073	327	18	the	the	DET
eajbcs-1073	327	19	interactive	interactive	ADJ
eajbcs-1073	327	20	approach	approach	NOUN
eajbcs-1073	327	21	is	be	AUX
eajbcs-1073	327	22	very	very	ADV
eajbcs-1073	327	23	effective	effective	ADJ
eajbcs-1073	327	24	at	at	ADP
eajbcs-1073	327	25	solving	solve	VERB
eajbcs-1073	327	26	if	if	SCONJ
eajbcs-1073	327	27	-	-	PUNCT
eajbcs-1073	327	28	moldmp	moldmp	NOUN
eajbcs-1073	327	29	(	(	PUNCT
eajbcs-1073	327	30	2	2	NUM
eajbcs-1073	327	31	)	)	PUNCT
eajbcs-1073	327	32	.	.	PUNCT
eajbcs-1073	328	1	in	in	ADP
eajbcs-1073	328	2	this	this	DET
eajbcs-1073	328	3	process	process	NOUN
eajbcs-1073	328	4	,	,	PUNCT
eajbcs-1073	328	5	the	the	DET
eajbcs-1073	328	6	algorithm	algorithm	NOUN
eajbcs-1073	328	7	generates	generate	VERB
eajbcs-1073	328	8	an	an	DET
eajbcs-1073	328	9	initial	initial	ADJ
eajbcs-1073	328	10	solution	solution	NOUN
eajbcs-1073	328	11	before	before	ADP
eajbcs-1073	328	12	consulting	consult	VERB
eajbcs-1073	328	13	the	the	DET
eajbcs-1073	328	14	dm	dm	NOUN
eajbcs-1073	328	15	and	and	CCONJ
eajbcs-1073	328	16	obtaining	obtain	VERB
eajbcs-1073	328	17	a	a	DET
eajbcs-1073	328	18	new	new	ADJ
eajbcs-1073	328	19	solution(s	solution(s	NOUN
eajbcs-1073	328	20	)	)	PUNCT
eajbcs-1073	328	21	if	if	SCONJ
eajbcs-1073	328	22	the	the	DET
eajbcs-1073	328	23	dm	dm	NOUN
eajbcs-1073	328	24	is	be	AUX
eajbcs-1073	328	25	dissatisfied	dissatisfied	ADJ
eajbcs-1073	328	26	with	with	ADP
eajbcs-1073	328	27	the	the	DET
eajbcs-1073	328	28	current	current	ADJ
eajbcs-1073	328	29	one	one	NUM
eajbcs-1073	328	30	.	.	PUNCT
eajbcs-1073	329	1	let	let	VERB
eajbcs-1073	329	2	x∗	x∗	PROPN
eajbcs-1073	329	3	be	be	AUX
eajbcs-1073	329	4	the	the	DET
eajbcs-1073	329	5	optimal	optimal	ADJ
eajbcs-1073	329	6	solution	solution	NOUN
eajbcs-1073	329	7	of	of	ADP
eajbcs-1073	329	8	model	model	NOUN
eajbcs-1073	329	9	i	i	X
eajbcs-1073	329	10	(	(	PUNCT
eajbcs-1073	329	11	15	15	NUM
eajbcs-1073	329	12	)	)	PUNCT
eajbcs-1073	329	13	or	or	CCONJ
eajbcs-1073	329	14	model	model	PROPN
eajbcs-1073	329	15	ii	ii	PROPN
eajbcs-1073	329	16	(	(	PUNCT
eajbcs-1073	329	17	16	16	NUM
eajbcs-1073	329	18	)	)	PUNCT
eajbcs-1073	329	19	.	.	PUNCT
eajbcs-1073	330	1	assume	assume	VERB
eajbcs-1073	330	2	that	that	SCONJ
eajbcs-1073	330	3	the	the	DET
eajbcs-1073	330	4	existing	exist	VERB
eajbcs-1073	330	5	solution	solution	NOUN
eajbcs-1073	330	6	x∗	x∗	PROPN
eajbcs-1073	330	7	does	do	AUX
eajbcs-1073	330	8	not	not	PART
eajbcs-1073	330	9	satisfy	satisfy	VERB
eajbcs-1073	330	10	the	the	DET
eajbcs-1073	330	11	dms	dm	NOUN
eajbcs-1073	330	12	.	.	PUNCT
eajbcs-1073	331	1	to	to	PART
eajbcs-1073	331	2	discuss	discuss	VERB
eajbcs-1073	331	3	how	how	SCONJ
eajbcs-1073	331	4	the	the	DET
eajbcs-1073	331	5	penalty	penalty	NOUN
eajbcs-1073	331	6	function	function	NOUN
eajbcs-1073	331	7	method	method	NOUN
eajbcs-1073	331	8	is	be	AUX
eajbcs-1073	331	9	applied	apply	VERB
eajbcs-1073	331	10	in	in	ADP
eajbcs-1073	331	11	the	the	DET
eajbcs-1073	331	12	interactive	interactive	ADJ
eajbcs-1073	331	13	method	method	NOUN
eajbcs-1073	331	14	once	once	SCONJ
eajbcs-1073	331	15	dms	dms	NOUN
eajbcs-1073	331	16	update	update	VERB
eajbcs-1073	331	17	the	the	DET
eajbcs-1073	331	18	problem	problem	NOUN
eajbcs-1073	331	19	for	for	ADP
eajbcs-1073	331	20	some	some	DET
eajbcs-1073	331	21	objective	objective	ADJ
eajbcs-1073	331	22	functions	function	NOUN
eajbcs-1073	331	23	,	,	PUNCT
eajbcs-1073	331	24	we	we	PRON
eajbcs-1073	331	25	considered	consider	VERB
eajbcs-1073	331	26	the	the	DET
eajbcs-1073	331	27	following	follow	VERB
eajbcs-1073	331	28	figure	figure	NOUN
eajbcs-1073	331	29	2	2	NUM
eajbcs-1073	331	30	that	that	PRON
eajbcs-1073	331	31	shows	show	VERB
eajbcs-1073	331	32	the	the	DET
eajbcs-1073	331	33	level	level	NOUN
eajbcs-1073	331	34	of	of	ADP
eajbcs-1073	331	35	satisfaction	satisfaction	NOUN
eajbcs-1073	331	36	and	and	CCONJ
eajbcs-1073	331	37	dissatisfaction	dissatisfaction	NOUN
eajbcs-1073	331	38	by	by	ADP
eajbcs-1073	331	39	dms	dms	PROPN
eajbcs-1073	331	40	.	.	PUNCT
eajbcs-1073	332	1	furthermore	furthermore	ADV
eajbcs-1073	332	2	,	,	PUNCT
eajbcs-1073	332	3	the	the	DET
eajbcs-1073	332	4	figure	figure	NOUN
eajbcs-1073	332	5	2	2	NUM
eajbcs-1073	332	6	demonstrates	demonstrate	VERB
eajbcs-1073	332	7	how	how	SCONJ
eajbcs-1073	332	8	to	to	PART
eajbcs-1073	332	9	determine	determine	VERB
eajbcs-1073	332	10	a	a	DET
eajbcs-1073	332	11	solution	solution	NOUN
eajbcs-1073	332	12	from	from	ADP
eajbcs-1073	332	13	a	a	DET
eajbcs-1073	332	14	large	large	ADJ
eajbcs-1073	332	15	space	space	NOUN
eajbcs-1073	332	16	by	by	ADP
eajbcs-1073	332	17	relaxing	relax	VERB
eajbcs-1073	332	18	the	the	DET
eajbcs-1073	332	19	constraint	constraint	NOUN
eajbcs-1073	332	20	set	set	NOUN
eajbcs-1073	332	21	.	.	PUNCT
eajbcs-1073	333	1	the	the	DET
eajbcs-1073	333	2	green	green	ADJ
eajbcs-1073	333	3	region	region	NOUN
eajbcs-1073	333	4	in	in	ADP
eajbcs-1073	333	5	the	the	DET
eajbcs-1073	333	6	figure	figure	NOUN
eajbcs-1073	333	7	2	2	NUM
eajbcs-1073	333	8	represents	represent	VERB
eajbcs-1073	333	9	dms	dm	NOUN
eajbcs-1073	333	10	who	who	PRON
eajbcs-1073	333	11	are	be	AUX
eajbcs-1073	333	12	completely	completely	ADV
eajbcs-1073	333	13	satisfied	satisfied	ADJ
eajbcs-1073	333	14	with	with	ADP
eajbcs-1073	333	15	the	the	DET
eajbcs-1073	333	16	current	current	ADJ
eajbcs-1073	333	17	solution	solution	NOUN
eajbcs-1073	333	18	,	,	PUNCT
eajbcs-1073	333	19	while	while	SCONJ
eajbcs-1073	333	20	the	the	DET
eajbcs-1073	333	21	red	red	ADJ
eajbcs-1073	333	22	region	region	NOUN
eajbcs-1073	333	23	represents	represent	VERB
eajbcs-1073	333	24	dms	dm	NOUN
eajbcs-1073	333	25	who	who	PRON
eajbcs-1073	333	26	are	be	AUX
eajbcs-1073	333	27	dissatisfied	dissatisfied	ADJ
eajbcs-1073	333	28	,	,	PUNCT
eajbcs-1073	333	29	and	and	CCONJ
eajbcs-1073	333	30	the	the	DET
eajbcs-1073	333	31	row	row	NOUN
eajbcs-1073	333	32	depicts	depict	VERB
eajbcs-1073	333	33	how	how	SCONJ
eajbcs-1073	333	34	the	the	DET
eajbcs-1073	333	35	algorithm	algorithm	NOUN
eajbcs-1073	333	36	generates	generate	VERB
eajbcs-1073	333	37	the	the	DET
eajbcs-1073	333	38	best	good	ADJ
eajbcs-1073	333	39	solution	solution	NOUN
eajbcs-1073	333	40	from	from	ADP
eajbcs-1073	333	41	a	a	DET
eajbcs-1073	333	42	large	large	ADJ
eajbcs-1073	333	43	space	space	NOUN
eajbcs-1073	333	44	.	.	PUNCT
eajbcs-1073	334	1	figure	figure	NOUN
eajbcs-1073	334	2	2	2	NUM
eajbcs-1073	334	3	:	:	PUNCT
eajbcs-1073	334	4	how	how	SCONJ
eajbcs-1073	334	5	penalty	penalty	NOUN
eajbcs-1073	334	6	function	function	NOUN
eajbcs-1073	334	7	method	method	NOUN
eajbcs-1073	334	8	applied	apply	VERB
eajbcs-1073	334	9	on	on	ADP
eajbcs-1073	334	10	minimization	minimization	NOUN
eajbcs-1073	334	11	type	type	NOUN
eajbcs-1073	334	12	problem	problem	NOUN
eajbcs-1073	334	13	definition	definition	NOUN
eajbcs-1073	334	14	4.1	4.1	NUM
eajbcs-1073	334	15	.	.	PUNCT
eajbcs-1073	335	1	a	a	DET
eajbcs-1073	335	2	vector	vector	NOUN
eajbcs-1073	335	3	x	x	X
eajbcs-1073	335	4	∈	∈	NOUN
eajbcs-1073	335	5	s	s	NOUN
eajbcs-1073	335	6	is	be	AUX
eajbcs-1073	335	7	dm	dm	NOUN
eajbcs-1073	335	8	-	-	PUNCT
eajbcs-1073	335	9	feasible	feasible	ADJ
eajbcs-1073	335	10	solution	solution	NOUN
eajbcs-1073	335	11	if	if	SCONJ
eajbcs-1073	335	12	∀t	∀t	PROPN
eajbcs-1073	335	13	∈	∈	PROPN
eajbcs-1073	335	14	1	1	NUM
eajbcs-1073	335	15	,	,	PUNCT
eajbcs-1073	335	16	2	2	NUM
eajbcs-1073	335	17	,	,	PUNCT
eajbcs-1073	335	18	.	.	PUNCT
eajbcs-1073	335	19	.	.	PUNCT
eajbcs-1073	336	1	.	.	PUNCT
eajbcs-1073	337	1	,	,	PUNCT
eajbcs-1073	338	1	k	k	X
eajbcs-1073	338	2	,	,	PUNCT
eajbcs-1073	338	3	ηλ	ηλ	PROPN
eajbcs-1073	338	4	d̃i	d̃i	PRON
eajbcs-1073	338	5	(	(	PUNCT
eajbcs-1073	338	6	ft(x	ft(x	NOUN
eajbcs-1073	338	7	)	)	PUNCT
eajbcs-1073	338	8	)	)	PUNCT
eajbcs-1073	339	1	−	−	PROPN
eajbcs-1073	340	1	ηλ	ηλ	INTJ
eajbcs-1073	340	2	d̃i	d̃i	X
eajbcs-1073	340	3	(	(	PUNCT
eajbcs-1073	340	4	ft(x	ft(x	NOUN
eajbcs-1073	340	5	∗	∗	NOUN
eajbcs-1073	340	6	)	)	PUNCT
eajbcs-1073	340	7	)	)	PUNCT
eajbcs-1073	340	8	≥	≥	PROPN
eajbcs-1073	340	9	γt	γt	NOUN
eajbcs-1073	340	10	,	,	PUNCT
eajbcs-1073	340	11	for	for	ADP
eajbcs-1073	340	12	nonnegative	nonnegative	ADJ
eajbcs-1073	340	13	variable	variable	ADJ
eajbcs-1073	340	14	γt	γt	NOUN
eajbcs-1073	340	15	.	.	PUNCT
eajbcs-1073	341	1	where	where	SCONJ
eajbcs-1073	341	2	,	,	PUNCT
eajbcs-1073	341	3	x∗	x∗	PROPN
eajbcs-1073	341	4	is	be	AUX
eajbcs-1073	341	5	optimal	optimal	ADJ
eajbcs-1073	341	6	solution	solution	NOUN
eajbcs-1073	341	7	to	to	ADP
eajbcs-1073	341	8	either	either	DET
eajbcs-1073	341	9	model	model	VERB
eajbcs-1073	341	10	i	i	PRON
eajbcs-1073	341	11	(	(	PUNCT
eajbcs-1073	341	12	15	15	NUM
eajbcs-1073	341	13	)	)	PUNCT
eajbcs-1073	341	14	or	or	CCONJ
eajbcs-1073	341	15	model	model	PROPN
eajbcs-1073	341	16	ii	ii	PROPN
eajbcs-1073	341	17	(	(	PUNCT
eajbcs-1073	341	18	16	16	NUM
eajbcs-1073	341	19	)	)	PUNCT
eajbcs-1073	341	20	.	.	PUNCT
eajbcs-1073	342	1	let	let	VERB
eajbcs-1073	342	2	the	the	DET
eajbcs-1073	342	3	set	set	NOUN
eajbcs-1073	342	4	of	of	ADP
eajbcs-1073	342	5	dm	dm	NOUN
eajbcs-1073	342	6	-	-	PUNCT
eajbcs-1073	342	7	feasible	feasible	ADJ
eajbcs-1073	342	8	solution	solution	NOUN
eajbcs-1073	342	9	be	be	AUX
eajbcs-1073	342	10	denoted	denote	VERB
eajbcs-1073	342	11	by	by	ADP
eajbcs-1073	342	12	sdm	sdm	PROPN
eajbcs-1073	342	13	and	and	CCONJ
eajbcs-1073	342	14	defined	define	VERB
eajbcs-1073	342	15	as	as	ADP
eajbcs-1073	342	16	sdm	sdm	NOUN
eajbcs-1073	342	17	=	=	SYM
eajbcs-1073	342	18	{	{	PUNCT
eajbcs-1073	342	19	x	x	PROPN
eajbcs-1073	342	20	∈	∈	PROPN
eajbcs-1073	342	21	s|ηλ	s|ηλ	NOUN
eajbcs-1073	342	22	d̃i	d̃i	NOUN
eajbcs-1073	342	23	(	(	PUNCT
eajbcs-1073	342	24	ft(x))−	ft(x))−	NOUN
eajbcs-1073	342	25	ηλ	ηλ	NOUN
eajbcs-1073	342	26	d̃i	d̃i	X
eajbcs-1073	342	27	(	(	PUNCT
eajbcs-1073	342	28	ft(x	ft(x	NOUN
eajbcs-1073	342	29	∗	∗	NOUN
eajbcs-1073	342	30	)	)	PUNCT
eajbcs-1073	342	31	)	)	PUNCT
eajbcs-1073	342	32	≥	≥	X
eajbcs-1073	343	1	γt,∀t	γt,∀t	NOUN
eajbcs-1073	343	2	}	}	PUNCT
eajbcs-1073	343	3	.	.	PUNCT
eajbcs-1073	344	1	to	to	PART
eajbcs-1073	344	2	find	find	VERB
eajbcs-1073	344	3	a	a	DET
eajbcs-1073	344	4	preferable	preferable	ADJ
eajbcs-1073	344	5	pareto	pareto	VERB
eajbcs-1073	344	6	-	-	PUNCT
eajbcs-1073	344	7	optimal	optimal	ADJ
eajbcs-1073	344	8	solution	solution	NOUN
eajbcs-1073	344	9	based	base	VERB
eajbcs-1073	344	10	on	on	ADP
eajbcs-1073	344	11	x∗	x∗	PROPN
eajbcs-1073	344	12	to	to	ADP
eajbcs-1073	344	13	if	if	SCONJ
eajbcs-1073	344	14	-	-	PUNCT
eajbcs-1073	344	15	moldmp	moldmp	NOUN
eajbcs-1073	344	16	(	(	PUNCT
eajbcs-1073	344	17	2	2	NUM
eajbcs-1073	344	18	)	)	PUNCT
eajbcs-1073	344	19	,	,	PUNCT
eajbcs-1073	344	20	we	we	PRON
eajbcs-1073	344	21	east	east	PROPN
eajbcs-1073	344	22	afr	afr	PROPN
eajbcs-1073	344	23	.	.	PUNCT
eajbcs-1073	345	1	j.	j.	PROPN
eajbcs-1073	345	2	biophys	biophys	PROPN
eajbcs-1073	345	3	.	.	PUNCT
eajbcs-1073	346	1	comput	comput	NOUN
eajbcs-1073	346	2	.	.	PUNCT
eajbcs-1073	347	1	sci	sci	PROPN
eajbcs-1073	347	2	.	.	PUNCT
eajbcs-1073	348	1	(	(	PUNCT
eajbcs-1073	348	2	2024	2024	NUM
eajbcs-1073	348	3	)	)	PUNCT
eajbcs-1073	348	4	,	,	PUNCT
eajbcs-1073	348	5	vol	vol	NOUN
eajbcs-1073	348	6	.	.	PROPN
eajbcs-1073	348	7	5	5	NUM
eajbcs-1073	348	8	,	,	PUNCT
eajbcs-1073	348	9	no	no	INTJ
eajbcs-1073	348	10	.	.	NOUN
eajbcs-1073	348	11	2	2	NUM
eajbcs-1073	348	12	,	,	PUNCT
eajbcs-1073	348	13	41	41	NUM
eajbcs-1073	348	14	-	-	SYM
eajbcs-1073	348	15	57	57	NUM
eajbcs-1073	348	16	50	50	NUM
eajbcs-1073	348	17	solve	solve	NOUN
eajbcs-1073	348	18	the	the	DET
eajbcs-1073	348	19	following	follow	VERB
eajbcs-1073	348	20	optimization	optimization	NOUN
eajbcs-1073	348	21	problem	problem	NOUN
eajbcs-1073	348	22	:	:	PUNCT
eajbcs-1073	348	23	max	max	PROPN
eajbcs-1073	348	24	x∈sdm	x∈sdm	PROPN
eajbcs-1073	348	25	,	,	PUNCT
eajbcs-1073	348	26	γt≥0	γt≥0	PROPN
eajbcs-1073	348	27	j∑	j∑	PROPN
eajbcs-1073	348	28	t=1	t=1	ADV
eajbcs-1073	348	29	γt	γt	PROPN
eajbcs-1073	348	30	(	(	PUNCT
eajbcs-1073	348	31	17	17	NUM
eajbcs-1073	348	32	)	)	PUNCT
eajbcs-1073	348	33	now	now	ADV
eajbcs-1073	348	34	choose	choose	VERB
eajbcs-1073	348	35	x	x	PUNCT
eajbcs-1073	348	36	∈	∈	NOUN
eajbcs-1073	348	37	s	s	VERB
eajbcs-1073	348	38	such	such	ADJ
eajbcs-1073	348	39	that	that	DET
eajbcs-1073	348	40	ηλt	ηλt	NOUN
eajbcs-1073	348	41	(	(	PUNCT
eajbcs-1073	348	42	ft(x	ft(x	NOUN
eajbcs-1073	348	43	)	)	PUNCT
eajbcs-1073	348	44	)	)	PUNCT
eajbcs-1073	349	1	−	−	PROPN
eajbcs-1073	349	2	ηλt	ηλt	NOUN
eajbcs-1073	349	3	(	(	PUNCT
eajbcs-1073	349	4	ft(x	ft(x	NOUN
eajbcs-1073	349	5	∗	∗	NOUN
eajbcs-1073	349	6	)	)	PUNCT
eajbcs-1073	349	7	)	)	PUNCT
eajbcs-1073	350	1	<	<	X
eajbcs-1073	350	2	γ2	γ2	PROPN
eajbcs-1073	350	3	t	t	PROPN
eajbcs-1073	350	4	(	(	PUNCT
eajbcs-1073	350	5	i.e.	i.e.	X
eajbcs-1073	350	6	,x	,x	PUNCT
eajbcs-1073	350	7	/∈	/∈	PUNCT
eajbcs-1073	350	8	sdm	sdm	PROPN
eajbcs-1073	350	9	)	)	PUNCT
eajbcs-1073	350	10	.	.	PUNCT
eajbcs-1073	351	1	the	the	DET
eajbcs-1073	351	2	nonlinear	nonlinear	ADJ
eajbcs-1073	351	3	penalty	penalty	NOUN
eajbcs-1073	351	4	function	function	NOUN
eajbcs-1073	351	5	is	be	AUX
eajbcs-1073	351	6	defined	define	VERB
eajbcs-1073	351	7	as	as	ADP
eajbcs-1073	351	8	p	p	PROPN
eajbcs-1073	351	9	(	(	PUNCT
eajbcs-1073	351	10	x	x	NOUN
eajbcs-1073	351	11	)	)	PUNCT
eajbcs-1073	351	12	=	=	SYM
eajbcs-1073	351	13	∑j	∑j	NOUN
eajbcs-1073	351	14	t=1[max{0	t=1[max{0	PROPN
eajbcs-1073	351	15	,	,	PUNCT
eajbcs-1073	351	16	ηλ	ηλ	ADP
eajbcs-1073	351	17	d̃i	d̃i	X
eajbcs-1073	351	18	(	(	PUNCT
eajbcs-1073	351	19	ft(x	ft(x	X
eajbcs-1073	351	20	∗))−ηλ	∗))−ηλ	NUM
eajbcs-1073	351	21	d̃i	d̃i	X
eajbcs-1073	351	22	(	(	PUNCT
eajbcs-1073	351	23	ft(x))+γ2	ft(x))+γ2	PROPN
eajbcs-1073	351	24	t	t	PROPN
eajbcs-1073	351	25	}	}	PUNCT
eajbcs-1073	351	26	]	]	SYM
eajbcs-1073	351	27	2	2	NUM
eajbcs-1073	351	28	meng	meng	PROPN
eajbcs-1073	351	29	et.al	et.al	PROPN
eajbcs-1073	351	30	.	.	PUNCT
eajbcs-1073	352	1	(	(	PUNCT
eajbcs-1073	352	2	2011	2011	NUM
eajbcs-1073	352	3	)	)	PUNCT
eajbcs-1073	352	4	;	;	PUNCT
eajbcs-1073	352	5	jameel	jameel	PROPN
eajbcs-1073	352	6	and	and	CCONJ
eajbcs-1073	352	7	radhi	radhi	PROPN
eajbcs-1073	352	8	(	(	PUNCT
eajbcs-1073	352	9	2014	2014	NUM
eajbcs-1073	352	10	)	)	PUNCT
eajbcs-1073	352	11	and	and	CCONJ
eajbcs-1073	352	12	satisfies	satisfie	NOUN
eajbcs-1073	352	13	:	:	PUNCT
eajbcs-1073	352	14	p	p	X
eajbcs-1073	352	15	(	(	PUNCT
eajbcs-1073	352	16	x	x	NOUN
eajbcs-1073	352	17	)	)	PUNCT
eajbcs-1073	352	18	=	=	PRON
eajbcs-1073	352	19	{	{	PUNCT
eajbcs-1073	352	20	0	0	NUM
eajbcs-1073	352	21	if	if	SCONJ
eajbcs-1073	352	22	x	x	X
eajbcs-1073	352	23	∈	∈	PROPN
eajbcs-1073	352	24	sdm	sdm	NOUN
eajbcs-1073	352	25	>	>	X
eajbcs-1073	352	26	0	0	PUNCT
eajbcs-1073	353	1	if	if	SCONJ
eajbcs-1073	353	2	x	x	X
eajbcs-1073	353	3	/∈	/∈	PUNCT
eajbcs-1073	353	4	sdm	sdm	PROPN
eajbcs-1073	353	5	(	(	PUNCT
eajbcs-1073	353	6	18	18	NUM
eajbcs-1073	353	7	)	)	PUNCT
eajbcs-1073	353	8	now	now	ADV
eajbcs-1073	353	9	,	,	PUNCT
eajbcs-1073	353	10	using	use	VERB
eajbcs-1073	353	11	the	the	DET
eajbcs-1073	353	12	penalty	penalty	NOUN
eajbcs-1073	353	13	function	function	NOUN
eajbcs-1073	353	14	,	,	PUNCT
eajbcs-1073	353	15	we	we	PRON
eajbcs-1073	353	16	can	can	AUX
eajbcs-1073	353	17	transform	transform	VERB
eajbcs-1073	353	18	it	it	PRON
eajbcs-1073	353	19	into	into	ADP
eajbcs-1073	353	20	unconstrained	unconstrained	ADJ
eajbcs-1073	353	21	optimization	optimization	NOUN
eajbcs-1073	353	22	,	,	PUNCT
eajbcs-1073	353	23	where	where	SCONJ
eajbcs-1073	353	24	the	the	DET
eajbcs-1073	353	25	objective	objective	ADJ
eajbcs-1073	353	26	function	function	NOUN
eajbcs-1073	353	27	is	be	AUX
eajbcs-1073	353	28	defined	define	VERB
eajbcs-1073	353	29	as	as	ADP
eajbcs-1073	353	30	:	:	PUNCT
eajbcs-1073	353	31	f	f	PROPN
eajbcs-1073	353	32	(	(	PUNCT
eajbcs-1073	353	33	x	x	PROPN
eajbcs-1073	353	34	,	,	PUNCT
eajbcs-1073	353	35	ci	ci	NOUN
eajbcs-1073	353	36	)	)	PUNCT
eajbcs-1073	353	37	=	=	PUNCT
eajbcs-1073	354	1	∑j	∑j	NOUN
eajbcs-1073	354	2	t=1	t=1	SYM
eajbcs-1073	354	3	γt+ci	γt+ci	PROPN
eajbcs-1073	354	4	(	(	PUNCT
eajbcs-1073	354	5	∑j	∑j	PROPN
eajbcs-1073	354	6	t=1[max{0	t=1[max{0	PROPN
eajbcs-1073	354	7	,	,	PUNCT
eajbcs-1073	354	8	ηλt	ηλt	NOUN
eajbcs-1073	354	9	(	(	PUNCT
eajbcs-1073	354	10	ft(x∗))−	ft(x∗))−	PROPN
eajbcs-1073	354	11	ηλt	ηλt	NOUN
eajbcs-1073	354	12	(	(	PUNCT
eajbcs-1073	354	13	ft(x	ft(x	NOUN
eajbcs-1073	354	14	)	)	PUNCT
eajbcs-1073	354	15	)	)	PUNCT
eajbcs-1073	355	1	+	+	CCONJ
eajbcs-1073	355	2	γ2	γ2	PROPN
eajbcs-1073	355	3	t	t	PROPN
eajbcs-1073	355	4	}	}	PUNCT
eajbcs-1073	355	5	]	]	X
eajbcs-1073	355	6	2	2	X
eajbcs-1073	355	7	)	)	PUNCT
eajbcs-1073	355	8	based	base	VERB
eajbcs-1073	355	9	on	on	ADP
eajbcs-1073	355	10	the	the	DET
eajbcs-1073	355	11	penalty	penalty	NOUN
eajbcs-1073	355	12	parameter	parameter	NOUN
eajbcs-1073	355	13	ci	ci	PROPN
eajbcs-1073	355	14	>	>	X
eajbcs-1073	355	15	0	0	PROPN
eajbcs-1073	355	16	,	,	PUNCT
eajbcs-1073	355	17	we	we	PRON
eajbcs-1073	355	18	formulate	formulate	VERB
eajbcs-1073	355	19	the	the	DET
eajbcs-1073	355	20	penalty	penalty	NOUN
eajbcs-1073	355	21	optimization	optimization	NOUN
eajbcs-1073	355	22	problem	problem	NOUN
eajbcs-1073	355	23	as	as	SCONJ
eajbcs-1073	355	24	follows	follow	VERB
eajbcs-1073	355	25	:	:	PUNCT
eajbcs-1073	355	26	(	(	PUNCT
eajbcs-1073	355	27	pλ	pλ	PROPN
eajbcs-1073	355	28	,	,	PUNCT
eajbcs-1073	355	29	ci	ci	NOUN
eajbcs-1073	355	30	)	)	PUNCT
eajbcs-1073	355	31	maxf	maxf	NOUN
eajbcs-1073	355	32	(	(	PUNCT
eajbcs-1073	355	33	x	x	NOUN
eajbcs-1073	355	34	,	,	PUNCT
eajbcs-1073	355	35	ci	ci	NOUN
eajbcs-1073	355	36	)	)	PUNCT
eajbcs-1073	355	37	subject	subject	NOUN
eajbcs-1073	355	38	to	to	ADP
eajbcs-1073	355	39	x	x	PROPN
eajbcs-1073	355	40	∈	∈	PROPN
eajbcs-1073	355	41	rn	rn	PROPN
eajbcs-1073	355	42	,	,	PUNCT
eajbcs-1073	355	43	(	(	PUNCT
eajbcs-1073	355	44	19	19	NUM
eajbcs-1073	355	45	)	)	PUNCT
eajbcs-1073	355	46	the	the	DET
eajbcs-1073	355	47	main	main	ADJ
eajbcs-1073	355	48	benefit	benefit	NOUN
eajbcs-1073	355	49	of	of	ADP
eajbcs-1073	355	50	this	this	DET
eajbcs-1073	355	51	model	model	NOUN
eajbcs-1073	355	52	is	be	AUX
eajbcs-1073	355	53	that	that	SCONJ
eajbcs-1073	355	54	,	,	PUNCT
eajbcs-1073	355	55	instead	instead	ADV
eajbcs-1073	355	56	of	of	ADP
eajbcs-1073	355	57	starting	start	VERB
eajbcs-1073	355	58	from	from	ADP
eajbcs-1073	355	59	scratch	scratch	NOUN
eajbcs-1073	355	60	,	,	PUNCT
eajbcs-1073	355	61	it	it	PRON
eajbcs-1073	355	62	will	will	AUX
eajbcs-1073	355	63	use	use	VERB
eajbcs-1073	355	64	a	a	DET
eajbcs-1073	355	65	wide	wide	ADJ
eajbcs-1073	355	66	domain	domain	NOUN
eajbcs-1073	355	67	to	to	PART
eajbcs-1073	355	68	improve	improve	VERB
eajbcs-1073	355	69	the	the	DET
eajbcs-1073	355	70	existing	exist	VERB
eajbcs-1073	355	71	solution	solution	NOUN
eajbcs-1073	355	72	and	and	CCONJ
eajbcs-1073	355	73	attempt	attempt	NOUN
eajbcs-1073	355	74	to	to	PART
eajbcs-1073	355	75	discover	discover	VERB
eajbcs-1073	355	76	a	a	DET
eajbcs-1073	355	77	solution	solution	NOUN
eajbcs-1073	355	78	that	that	PRON
eajbcs-1073	355	79	satisfies	satisfy	VERB
eajbcs-1073	355	80	dms	dm	NOUN
eajbcs-1073	355	81	by	by	ADP
eajbcs-1073	355	82	ignoring	ignore	VERB
eajbcs-1073	355	83	the	the	DET
eajbcs-1073	355	84	non	non	ADJ
eajbcs-1073	355	85	-	-	ADJ
eajbcs-1073	355	86	update	update	ADJ
eajbcs-1073	355	87	membership	membership	NOUN
eajbcs-1073	355	88	and	and	CCONJ
eajbcs-1073	355	89	non	non	ADJ
eajbcs-1073	355	90	-	-	ADJ
eajbcs-1073	355	91	membership	membership	ADJ
eajbcs-1073	355	92	functions	function	NOUN
eajbcs-1073	355	93	.	.	PUNCT
eajbcs-1073	356	1	ipfm	ipfm	NOUN
eajbcs-1073	356	2	algorithm	algorithm	PROPN
eajbcs-1073	356	3	:	:	PUNCT
eajbcs-1073	356	4	initial	initial	ADJ
eajbcs-1073	356	5	step	step	NOUN
eajbcs-1073	356	6	:	:	PUNCT
eajbcs-1073	356	7	�	�	PROPN
eajbcs-1073	356	8	using	use	VERB
eajbcs-1073	356	9	current	current	ADJ
eajbcs-1073	356	10	solution	solution	NOUN
eajbcs-1073	356	11	x∗	x∗	PROPN
eajbcs-1073	356	12	and	and	CCONJ
eajbcs-1073	356	13	γti	γti	NOUN
eajbcs-1073	356	14	=	=	SYM
eajbcs-1073	357	1	ηλ	ηλ	NOUN
eajbcs-1073	357	2	d̃i	d̃i	ADV
eajbcs-1073	357	3	(	(	PUNCT
eajbcs-1073	357	4	uµ	uµ	PROPN
eajbcs-1073	357	5	t	t	PROPN
eajbcs-1073	357	6	−lµ	−lµ	PROPN
eajbcs-1073	357	7	t	t	PROPN
eajbcs-1073	357	8	2	2	NUM
eajbcs-1073	357	9	)	)	PUNCT
eajbcs-1073	357	10	,	,	PUNCT
eajbcs-1073	357	11	choose	choose	VERB
eajbcs-1073	357	12	initial	initial	ADJ
eajbcs-1073	357	13	solution	solution	NOUN
eajbcs-1073	357	14	x1	x1	PROPN
eajbcs-1073	357	15	∈	∈	PROPN
eajbcs-1073	357	16	s	s	VERB
eajbcs-1073	357	17	such	such	ADJ
eajbcs-1073	357	18	that	that	DET
eajbcs-1073	357	19	ηλt	ηλt	NOUN
eajbcs-1073	357	20	(	(	PUNCT
eajbcs-1073	357	21	ft(x1	ft(x1	NOUN
eajbcs-1073	357	22	)	)	PUNCT
eajbcs-1073	357	23	)	)	PUNCT
eajbcs-1073	357	24	−	−	PROPN
eajbcs-1073	357	25	ηλt	ηλt	NOUN
eajbcs-1073	357	26	(	(	PUNCT
eajbcs-1073	357	27	ft(x	ft(x	NOUN
eajbcs-1073	357	28	∗	∗	NOUN
eajbcs-1073	357	29	)	)	PUNCT
eajbcs-1073	357	30	)	)	PUNCT
eajbcs-1073	358	1	<	<	X
eajbcs-1073	358	2	γ2	γ2	PROPN
eajbcs-1073	358	3	ti	ti	PROPN
eajbcs-1073	358	4	.	.	PUNCT
eajbcs-1073	359	1	that	that	PRON
eajbcs-1073	359	2	means	mean	VERB
eajbcs-1073	359	3	:	:	PUNCT
eajbcs-1073	359	4	x1	x1	PROPN
eajbcs-1073	359	5	/∈	/∈	PUNCT
eajbcs-1073	360	1	sdm	sdm	PROPN
eajbcs-1073	360	2	.	.	PUNCT
eajbcs-1073	361	1	�	�	PROPN
eajbcs-1073	361	2	choose	choose	VERB
eajbcs-1073	361	3	λ	λ	NOUN
eajbcs-1073	361	4	=	=	SYM
eajbcs-1073	361	5	1	1	NUM
eajbcs-1073	361	6	2	2	NUM
eajbcs-1073	361	7	,	,	PUNCT
eajbcs-1073	361	8	c1	c1	PROPN
eajbcs-1073	361	9	>	>	X
eajbcs-1073	361	10	0	0	PROPN
eajbcs-1073	361	11	,	,	PUNCT
eajbcs-1073	361	12	β	β	X
eajbcs-1073	361	13	>	>	X
eajbcs-1073	361	14	1	1	NUM
eajbcs-1073	361	15	and	and	CCONJ
eajbcs-1073	361	16	set	set	VERB
eajbcs-1073	361	17	i=1	i=1	PRON
eajbcs-1073	361	18	main	main	ADJ
eajbcs-1073	361	19	step	step	NOUN
eajbcs-1073	361	20	:	:	PUNCT
eajbcs-1073	361	21	step	step	NOUN
eajbcs-1073	361	22	i.	i.	NOUN
eajbcs-1073	361	23	using	use	VERB
eajbcs-1073	361	24	xi	xi	NOUN
eajbcs-1073	361	25	and	and	CCONJ
eajbcs-1073	361	26	γti	γti	NOUN
eajbcs-1073	361	27	solve	solve	NOUN
eajbcs-1073	361	28	the	the	DET
eajbcs-1073	361	29	problem	problem	NOUN
eajbcs-1073	361	30	maxf	maxf	ADV
eajbcs-1073	361	31	(	(	PUNCT
eajbcs-1073	361	32	x	x	NOUN
eajbcs-1073	361	33	,	,	PUNCT
eajbcs-1073	361	34	ci	ci	NOUN
eajbcs-1073	361	35	)	)	PUNCT
eajbcs-1073	361	36	subject	subject	NOUN
eajbcs-1073	361	37	tox	tox	PROPN
eajbcs-1073	361	38	∈	∈	PROPN
eajbcs-1073	361	39	rn	rn	PROPN
eajbcs-1073	361	40	and	and	CCONJ
eajbcs-1073	361	41	let	let	VERB
eajbcs-1073	361	42	call	call	VERB
eajbcs-1073	361	43	xi+1	xi+1	NOUN
eajbcs-1073	361	44	be	be	AUX
eajbcs-1073	361	45	an	an	DET
eajbcs-1073	361	46	optimal	optimal	ADJ
eajbcs-1073	361	47	solution	solution	NOUN
eajbcs-1073	361	48	.	.	PUNCT
eajbcs-1073	362	1	step	step	NOUN
eajbcs-1073	362	2	ii	ii	PROPN
eajbcs-1073	362	3	.	.	PUNCT
eajbcs-1073	363	1	if	if	SCONJ
eajbcs-1073	363	2	xi+1	xi+1	PROPN
eajbcs-1073	363	3	be	be	AUX
eajbcs-1073	363	4	dm	dm	NUM
eajbcs-1073	363	5	feasible	feasible	ADJ
eajbcs-1073	363	6	solution	solution	NOUN
eajbcs-1073	363	7	,	,	PUNCT
eajbcs-1073	363	8	then	then	ADV
eajbcs-1073	363	9	stop	stop	VERB
eajbcs-1073	363	10	x̂	x̂	PUNCT
eajbcs-1073	363	11	=	=	SYM
eajbcs-1073	363	12	xi+1	xi+1	PROPN
eajbcs-1073	363	13	and	and	CCONJ
eajbcs-1073	363	14	the	the	DET
eajbcs-1073	363	15	corresponding	correspond	VERB
eajbcs-1073	363	16	decision	decision	NOUN
eajbcs-1073	363	17	vector	vector	NOUN
eajbcs-1073	363	18	γ̂	γ̂	PUNCT
eajbcs-1073	363	19	are	be	AUX
eajbcs-1073	363	20	optimal	optimal	ADJ
eajbcs-1073	363	21	solutions	solution	NOUN
eajbcs-1073	363	22	to	to	ADP
eajbcs-1073	363	23	model	model	NOUN
eajbcs-1073	363	24	(	(	PUNCT
eajbcs-1073	363	25	17	17	NUM
eajbcs-1073	363	26	)	)	PUNCT
eajbcs-1073	363	27	.	.	PUNCT
eajbcs-1073	364	1	otherwise	otherwise	ADV
eajbcs-1073	364	2	,	,	PUNCT
eajbcs-1073	364	3	put	put	VERB
eajbcs-1073	364	4	ci+1	ci+1	PROPN
eajbcs-1073	365	1	=	=	SYM
eajbcs-1073	365	2	βci	βci	NOUN
eajbcs-1073	365	3	,	,	PUNCT
eajbcs-1073	365	4	i	i	PRON
eajbcs-1073	365	5	=	=	PUNCT
eajbcs-1073	365	6	i+	i+	PUNCT
eajbcs-1073	365	7	1	1	NUM
eajbcs-1073	365	8	and	and	CCONJ
eajbcs-1073	365	9	go	go	VERB
eajbcs-1073	365	10	to	to	PART
eajbcs-1073	365	11	step	step	NOUN
eajbcs-1073	365	12	i.	i.	PROPN
eajbcs-1073	365	13	theorem	theorem	VERB
eajbcs-1073	365	14	4.1	4.1	NUM
eajbcs-1073	365	15	(	(	PUNCT
eajbcs-1073	365	16	optimality	optimality	NOUN
eajbcs-1073	365	17	test	test	NOUN
eajbcs-1073	365	18	)	)	PUNCT
eajbcs-1073	365	19	.	.	PUNCT
eajbcs-1073	366	1	let	let	VERB
eajbcs-1073	366	2	x̂	x̂	PUNCT
eajbcs-1073	367	1	and	and	CCONJ
eajbcs-1073	367	2	γ̂	γ̂	PROPN
eajbcs-1073	367	3	are	be	AUX
eajbcs-1073	367	4	optimal	optimal	ADJ
eajbcs-1073	367	5	solutions	solution	NOUN
eajbcs-1073	367	6	to	to	ADP
eajbcs-1073	367	7	model	model	NOUN
eajbcs-1073	367	8	(	(	PUNCT
eajbcs-1073	367	9	17	17	NUM
eajbcs-1073	367	10	)	)	PUNCT
eajbcs-1073	367	11	.	.	PUNCT
eajbcs-1073	368	1	then	then	ADV
eajbcs-1073	368	2	i.	i.	PROPN
eajbcs-1073	368	3	if	if	SCONJ
eajbcs-1073	368	4	γt	γt	ADP
eajbcs-1073	368	5	=	=	SYM
eajbcs-1073	368	6	0,∀	0,∀	NUM
eajbcs-1073	368	7	t	t	NOUN
eajbcs-1073	368	8	=	=	SYM
eajbcs-1073	368	9	1	1	NUM
eajbcs-1073	368	10	,	,	PUNCT
eajbcs-1073	368	11	.	.	PUNCT
eajbcs-1073	368	12	.	.	PUNCT
eajbcs-1073	368	13	.	.	PUNCT
eajbcs-1073	369	1	k	k	X
eajbcs-1073	369	2	,	,	PUNCT
eajbcs-1073	369	3	then	then	ADV
eajbcs-1073	369	4	the	the	DET
eajbcs-1073	369	5	pareto	pareto	ADJ
eajbcs-1073	369	6	optimal	optimal	ADJ
eajbcs-1073	369	7	solution	solution	NOUN
eajbcs-1073	369	8	to	to	ADP
eajbcs-1073	369	9	if	if	SCONJ
eajbcs-1073	369	10	-	-	PUNCT
eajbcs-1073	369	11	moldmp	moldmp	NOUN
eajbcs-1073	369	12	(	(	PUNCT
eajbcs-1073	369	13	2	2	NUM
eajbcs-1073	369	14	)	)	PUNCT
eajbcs-1073	369	15	in	in	ADP
eajbcs-1073	369	16	an	an	DET
eajbcs-1073	369	17	ifde	ifde	NOUN
eajbcs-1073	369	18	is	be	AUX
eajbcs-1073	369	19	x∗.	x∗.	PROPN
eajbcs-1073	369	20	ii	ii	PROPN
eajbcs-1073	369	21	.	.	PUNCT
eajbcs-1073	370	1	in	in	ADP
eajbcs-1073	370	2	an	an	DET
eajbcs-1073	370	3	ifde	ifde	NOUN
eajbcs-1073	370	4	,	,	PUNCT
eajbcs-1073	370	5	x∗	x∗	PROPN
eajbcs-1073	370	6	is	be	AUX
eajbcs-1073	370	7	not	not	PART
eajbcs-1073	370	8	pareto	pareto	VERB
eajbcs-1073	370	9	’s	’s	PART
eajbcs-1073	370	10	optimal	optimal	ADJ
eajbcs-1073	370	11	solution	solution	NOUN
eajbcs-1073	370	12	to	to	ADP
eajbcs-1073	370	13	if	if	SCONJ
eajbcs-1073	370	14	-	-	PUNCT
eajbcs-1073	370	15	moldmp	moldmp	NOUN
eajbcs-1073	370	16	(	(	PUNCT
eajbcs-1073	370	17	2	2	NUM
eajbcs-1073	370	18	)	)	PUNCT
eajbcs-1073	370	19	if	if	SCONJ
eajbcs-1073	370	20	at	at	ADV
eajbcs-1073	370	21	least	least	ADV
eajbcs-1073	370	22	one	one	NUM
eajbcs-1073	370	23	γt	γt	NOUN
eajbcs-1073	370	24	>	>	X
eajbcs-1073	370	25	0	0	NUM
eajbcs-1073	370	26	.	.	PUNCT
eajbcs-1073	371	1	instead	instead	ADV
eajbcs-1073	371	2	of	of	ADP
eajbcs-1073	371	3	x∗	x∗	PROPN
eajbcs-1073	371	4	,	,	PUNCT
eajbcs-1073	371	5	pareto	pareto	NOUN
eajbcs-1073	371	6	’s	’s	PART
eajbcs-1073	371	7	optimal	optimal	ADJ
eajbcs-1073	371	8	solution	solution	NOUN
eajbcs-1073	371	9	to	to	ADP
eajbcs-1073	371	10	if	if	SCONJ
eajbcs-1073	371	11	-	-	PUNCT
eajbcs-1073	371	12	moldmp	moldmp	NOUN
eajbcs-1073	371	13	(	(	PUNCT
eajbcs-1073	371	14	2	2	NUM
eajbcs-1073	371	15	)	)	PUNCT
eajbcs-1073	371	16	is	be	AUX
eajbcs-1073	371	17	x̂.	x̂.	NOUN
eajbcs-1073	371	18	(	(	PUNCT
eajbcs-1073	371	19	analogous	analogous	ADJ
eajbcs-1073	371	20	theorem	theorem	ADJ
eajbcs-1073	371	21	proofs	proof	NOUN
eajbcs-1073	371	22	can	can	AUX
eajbcs-1073	371	23	be	be	AUX
eajbcs-1073	371	24	found	find	VERB
eajbcs-1073	371	25	in	in	ADP
eajbcs-1073	371	26	literature	literature	NOUN
eajbcs-1073	371	27	for	for	ADP
eajbcs-1073	371	28	instance	instance	NOUN
eajbcs-1073	371	29	see	see	VERB
eajbcs-1073	371	30	garai	garai	PROPN
eajbcs-1073	371	31	et.al	et.al	PROPN
eajbcs-1073	371	32	.	.	PUNCT
eajbcs-1073	372	1	(	(	PUNCT
eajbcs-1073	372	2	2015	2015	NUM
eajbcs-1073	372	3	,	,	PUNCT
eajbcs-1073	372	4	2016	2016	NUM
eajbcs-1073	372	5	)	)	PUNCT
eajbcs-1073	372	6	)	)	PUNCT
eajbcs-1073	372	7	5	5	X
eajbcs-1073	372	8	.	.	X
eajbcs-1073	372	9	algorithm	algorithm	NOUN
eajbcs-1073	372	10	for	for	ADP
eajbcs-1073	372	11	penalized	penalize	VERB
eajbcs-1073	372	12	ifgp	ifgp	NOUN
eajbcs-1073	372	13	method	method	NOUN
eajbcs-1073	372	14	based	base	VERB
eajbcs-1073	372	15	on	on	ADP
eajbcs-1073	372	16	the	the	DET
eajbcs-1073	372	17	idea	idea	NOUN
eajbcs-1073	372	18	discussed	discuss	VERB
eajbcs-1073	372	19	above	above	ADV
eajbcs-1073	372	20	,	,	PUNCT
eajbcs-1073	372	21	we	we	PRON
eajbcs-1073	372	22	proposed	propose	VERB
eajbcs-1073	372	23	a	a	DET
eajbcs-1073	372	24	general	general	ADJ
eajbcs-1073	372	25	framework	framework	NOUN
eajbcs-1073	372	26	or	or	CCONJ
eajbcs-1073	372	27	algorithm	algorithm	NOUN
eajbcs-1073	372	28	for	for	ADP
eajbcs-1073	372	29	finding	find	VERB
eajbcs-1073	372	30	pareto	pareto	VERB
eajbcs-1073	372	31	-	-	PUNCT
eajbcs-1073	372	32	optimal	optimal	ADJ
eajbcs-1073	372	33	solutions	solution	NOUN
eajbcs-1073	372	34	for	for	ADP
eajbcs-1073	372	35	ifmoldmp	ifmoldmp	NOUN
eajbcs-1073	372	36	(	(	PUNCT
eajbcs-1073	372	37	2	2	NUM
eajbcs-1073	372	38	)	)	PUNCT
eajbcs-1073	372	39	in	in	ADP
eajbcs-1073	372	40	an	an	DET
eajbcs-1073	372	41	ifde	ifde	NOUN
eajbcs-1073	372	42	.	.	PUNCT
eajbcs-1073	373	1	the	the	DET
eajbcs-1073	373	2	proposed	propose	VERB
eajbcs-1073	373	3	algorithm	algorithm	NOUN
eajbcs-1073	373	4	’s	’s	PART
eajbcs-1073	373	5	steps	step	NOUN
eajbcs-1073	373	6	are	be	AUX
eajbcs-1073	373	7	as	as	SCONJ
eajbcs-1073	373	8	follows	follow	VERB
eajbcs-1073	373	9	:	:	PUNCT
eajbcs-1073	373	10	step	step	NOUN
eajbcs-1073	373	11	1	1	NUM
eajbcs-1073	373	12	:	:	PUNCT
eajbcs-1073	373	13	solve	solve	VERB
eajbcs-1073	373	14	each	each	DET
eajbcs-1073	373	15	objective	objective	ADJ
eajbcs-1073	373	16	function	function	NOUN
eajbcs-1073	373	17	independently	independently	ADV
eajbcs-1073	373	18	under	under	ADP
eajbcs-1073	373	19	the	the	DET
eajbcs-1073	373	20	constraint	constraint	NOUN
eajbcs-1073	373	21	set	set	NOUN
eajbcs-1073	373	22	.	.	PUNCT
eajbcs-1073	374	1	that	that	PRON
eajbcs-1073	374	2	means	mean	VERB
eajbcs-1073	374	3	:	:	PUNCT
eajbcs-1073	374	4	solve	solve	VERB
eajbcs-1073	374	5	model	model	NOUN
eajbcs-1073	374	6	(	(	PUNCT
eajbcs-1073	374	7	4	4	NUM
eajbcs-1073	374	8	)	)	PUNCT
eajbcs-1073	374	9	.	.	PUNCT
eajbcs-1073	375	1	step	step	NOUN
eajbcs-1073	375	2	2	2	NUM
eajbcs-1073	375	3	:	:	PUNCT
eajbcs-1073	375	4	if	if	SCONJ
eajbcs-1073	375	5	the	the	DET
eajbcs-1073	375	6	solution	solution	NOUN
eajbcs-1073	375	7	xb	xb	PROPN
eajbcs-1073	375	8	t	t	PROPN
eajbcs-1073	375	9	of	of	ADP
eajbcs-1073	375	10	model	model	NOUN
eajbcs-1073	375	11	(	(	PUNCT
eajbcs-1073	375	12	4	4	NUM
eajbcs-1073	375	13	)	)	PUNCT
eajbcs-1073	375	14	is	be	AUX
eajbcs-1073	375	15	unique	unique	ADJ
eajbcs-1073	375	16	for	for	ADP
eajbcs-1073	375	17	each	each	DET
eajbcs-1073	375	18	t	t	PROPN
eajbcs-1073	375	19	,	,	PUNCT
eajbcs-1073	375	20	then	then	ADV
eajbcs-1073	375	21	go	go	VERB
eajbcs-1073	375	22	to	to	PART
eajbcs-1073	375	23	step	step	VERB
eajbcs-1073	375	24	3	3	NUM
eajbcs-1073	375	25	.	.	PUNCT
eajbcs-1073	376	1	otherwise	otherwise	ADV
eajbcs-1073	376	2	,	,	PUNCT
eajbcs-1073	376	3	solve	solve	VERB
eajbcs-1073	376	4	model	model	NOUN
eajbcs-1073	376	5	(	(	PUNCT
eajbcs-1073	376	6	6	6	NUM
eajbcs-1073	376	7	)	)	PUNCT
eajbcs-1073	376	8	and	and	CCONJ
eajbcs-1073	376	9	use	use	VERB
eajbcs-1073	376	10	its	its	PRON
eajbcs-1073	376	11	solution	solution	NOUN
eajbcs-1073	376	12	xbb	xbb	PROPN
eajbcs-1073	376	13	t	t	PROPN
eajbcs-1073	376	14	instead	instead	ADV
eajbcs-1073	376	15	of	of	ADP
eajbcs-1073	376	16	xb	xb	PROPN
eajbcs-1073	376	17	t	t	PROPN
eajbcs-1073	376	18	,	,	PUNCT
eajbcs-1073	376	19	then	then	ADV
eajbcs-1073	376	20	go	go	VERB
eajbcs-1073	376	21	to	to	PART
eajbcs-1073	376	22	step	step	VERB
eajbcs-1073	376	23	3	3	NUM
eajbcs-1073	376	24	.	.	PUNCT
eajbcs-1073	377	1	step	step	NOUN
eajbcs-1073	377	2	3	3	NUM
eajbcs-1073	377	3	:	:	PUNCT
eajbcs-1073	377	4	construct	construct	VERB
eajbcs-1073	377	5	the	the	DET
eajbcs-1073	377	6	payoff	payoff	NOUN
eajbcs-1073	377	7	matrix	matrix	NOUN
eajbcs-1073	377	8	(	(	PUNCT
eajbcs-1073	377	9	see	see	VERB
eajbcs-1073	377	10	eqs	eqs	PROPN
eajbcs-1073	377	11	.	.	PROPN
eajbcs-1073	377	12	5	5	NUM
eajbcs-1073	377	13	)	)	PUNCT
eajbcs-1073	377	14	and	and	CCONJ
eajbcs-1073	377	15	find	find	VERB
eajbcs-1073	377	16	the	the	DET
eajbcs-1073	377	17	upper	upper	NOUN
eajbcs-1073	377	18	and	and	CCONJ
eajbcs-1073	377	19	lowertolerances	lowertolerance	NOUN
eajbcs-1073	377	20	of	of	ADP
eajbcs-1073	377	21	membership	membership	NOUN
eajbcs-1073	377	22	and	and	CCONJ
eajbcs-1073	377	23	nonmembership	nonmembership	NOUN
eajbcs-1073	377	24	functions	function	NOUN
eajbcs-1073	377	25	.	.	PUNCT
eajbcs-1073	378	1	step	step	NOUN
eajbcs-1073	378	2	4	4	NUM
eajbcs-1073	378	3	:	:	PUNCT
eajbcs-1073	378	4	formulate	formulate	VERB
eajbcs-1073	378	5	the	the	DET
eajbcs-1073	378	6	extended	extended	ADJ
eajbcs-1073	378	7	yagermembership	yagermembership	NOUN
eajbcs-1073	378	8	function	function	NOUN
eajbcs-1073	378	9	in	in	ADP
eajbcs-1073	378	10	an	an	DET
eajbcs-1073	378	11	intuitionistic	intuitionistic	ADJ
eajbcs-1073	378	12	fuzzy	fuzzy	ADJ
eajbcs-1073	378	13	decision	decision	NOUN
eajbcs-1073	378	14	environment	environment	NOUN
eajbcs-1073	378	15	.	.	PUNCT
eajbcs-1073	379	1	see	see	VERB
eajbcs-1073	379	2	eqs	eqs	PROPN
eajbcs-1073	379	3	.	.	PUNCT
eajbcs-1073	380	1	(	(	PUNCT
eajbcs-1073	380	2	11	11	NUM
eajbcs-1073	380	3	)	)	PUNCT
eajbcs-1073	380	4	.	.	PUNCT
eajbcs-1073	381	1	east	east	PROPN
eajbcs-1073	381	2	afr	afr	PROPN
eajbcs-1073	381	3	.	.	PUNCT
eajbcs-1073	382	1	j.	j.	PROPN
eajbcs-1073	382	2	biophys	biophys	PROPN
eajbcs-1073	382	3	.	.	PUNCT
eajbcs-1073	383	1	comput	comput	NOUN
eajbcs-1073	383	2	.	.	PUNCT
eajbcs-1073	384	1	sci	sci	PROPN
eajbcs-1073	384	2	.	.	PUNCT
eajbcs-1073	385	1	(	(	PUNCT
eajbcs-1073	385	2	2024	2024	NUM
eajbcs-1073	385	3	)	)	PUNCT
eajbcs-1073	385	4	,	,	PUNCT
eajbcs-1073	385	5	vol	vol	NOUN
eajbcs-1073	385	6	.	.	PROPN
eajbcs-1073	385	7	5	5	NUM
eajbcs-1073	385	8	,	,	PUNCT
eajbcs-1073	385	9	no	no	INTJ
eajbcs-1073	385	10	.	.	NOUN
eajbcs-1073	385	11	2	2	NUM
eajbcs-1073	385	12	,	,	PUNCT
eajbcs-1073	385	13	41	41	NUM
eajbcs-1073	385	14	-	-	SYM
eajbcs-1073	385	15	57	57	NUM
eajbcs-1073	385	16	51	51	NUM
eajbcs-1073	385	17	step	step	NOUN
eajbcs-1073	385	18	5	5	NUM
eajbcs-1073	385	19	:	:	PUNCT
eajbcs-1073	385	20	solve	solve	VERB
eajbcs-1073	385	21	either	either	DET
eajbcs-1073	385	22	model	model	NOUN
eajbcs-1073	385	23	i	i	PRON
eajbcs-1073	385	24	(	(	PUNCT
eajbcs-1073	385	25	15	15	NUM
eajbcs-1073	385	26	)	)	PUNCT
eajbcs-1073	385	27	or	or	CCONJ
eajbcs-1073	385	28	model	model	PROPN
eajbcs-1073	385	29	ii	ii	PROPN
eajbcs-1073	385	30	(	(	PUNCT
eajbcs-1073	385	31	16	16	NUM
eajbcs-1073	385	32	)	)	PUNCT
eajbcs-1073	385	33	.	.	PUNCT
eajbcs-1073	386	1	if	if	SCONJ
eajbcs-1073	386	2	the	the	DET
eajbcs-1073	386	3	decision	decision	NOUN
eajbcs-1073	386	4	-	-	PUNCT
eajbcs-1073	386	5	maker	maker	NOUN
eajbcs-1073	386	6	is	be	AUX
eajbcs-1073	386	7	satisfied	satisfied	ADJ
eajbcs-1073	386	8	with	with	ADP
eajbcs-1073	386	9	the	the	DET
eajbcs-1073	386	10	current	current	ADJ
eajbcs-1073	386	11	solution	solution	NOUN
eajbcs-1073	386	12	x∗	x∗	NOUN
eajbcs-1073	386	13	,	,	PUNCT
eajbcs-1073	386	14	then	then	ADV
eajbcs-1073	386	15	stop	stop	VERB
eajbcs-1073	386	16	,	,	PUNCT
eajbcs-1073	386	17	and	and	CCONJ
eajbcs-1073	386	18	the	the	DET
eajbcs-1073	386	19	current	current	ADJ
eajbcs-1073	386	20	solution	solution	NOUN
eajbcs-1073	386	21	x∗	x∗	PROPN
eajbcs-1073	386	22	is	be	AUX
eajbcs-1073	386	23	the	the	DET
eajbcs-1073	386	24	pareto	pareto	ADJ
eajbcs-1073	386	25	optimal	optimal	ADJ
eajbcs-1073	386	26	solution	solution	NOUN
eajbcs-1073	386	27	to	to	ADP
eajbcs-1073	386	28	if	if	SCONJ
eajbcs-1073	386	29	-	-	PUNCT
eajbcs-1073	386	30	moldmp	moldmp	NOUN
eajbcs-1073	386	31	(	(	PUNCT
eajbcs-1073	386	32	2	2	NUM
eajbcs-1073	386	33	)	)	PUNCT
eajbcs-1073	386	34	.	.	PUNCT
eajbcs-1073	387	1	otherwise	otherwise	ADV
eajbcs-1073	387	2	,	,	PUNCT
eajbcs-1073	387	3	go	go	VERB
eajbcs-1073	387	4	to	to	PART
eajbcs-1073	387	5	step	step	VERB
eajbcs-1073	387	6	6	6	NUM
eajbcs-1073	387	7	.	.	PUNCT
eajbcs-1073	388	1	step	step	NOUN
eajbcs-1073	388	2	6	6	NUM
eajbcs-1073	388	3	:	:	PUNCT
eajbcs-1073	389	1	ask	ask	VERB
eajbcs-1073	389	2	the	the	DET
eajbcs-1073	389	3	decision	decision	NOUN
eajbcs-1073	389	4	-	-	PUNCT
eajbcs-1073	389	5	maker	maker	NOUN
eajbcs-1073	389	6	to	to	PART
eajbcs-1073	389	7	change	change	VERB
eajbcs-1073	389	8	the	the	DET
eajbcs-1073	389	9	membership	membership	NOUN
eajbcs-1073	389	10	and	and	CCONJ
eajbcs-1073	389	11	nonmembership	nonmembership	NOUN
eajbcs-1073	389	12	functions	function	NOUN
eajbcs-1073	389	13	for	for	ADP
eajbcs-1073	389	14	j	j	PROPN
eajbcs-1073	389	15	≤	≤	PROPN
eajbcs-1073	389	16	k	k	PROPN
eajbcs-1073	389	17	objective	objective	ADJ
eajbcs-1073	389	18	functions	function	NOUN
eajbcs-1073	389	19	,	,	PUNCT
eajbcs-1073	389	20	then	then	ADV
eajbcs-1073	389	21	go	go	VERB
eajbcs-1073	389	22	to	to	PART
eajbcs-1073	389	23	step	step	VERB
eajbcs-1073	389	24	7	7	NUM
eajbcs-1073	389	25	.	.	PUNCT
eajbcs-1073	389	26	step	step	NOUN
eajbcs-1073	389	27	7	7	NUM
eajbcs-1073	389	28	:	:	PUNCT
eajbcs-1073	389	29	solve	solve	VERB
eajbcs-1073	389	30	model	model	NOUN
eajbcs-1073	389	31	17	17	NUM
eajbcs-1073	389	32	with	with	ADP
eajbcs-1073	389	33	the	the	DET
eajbcs-1073	389	34	abovementioned	abovementione	VERB
eajbcs-1073	389	35	algorithm	algorithm	NOUN
eajbcs-1073	389	36	for	for	ADP
eajbcs-1073	389	37	interactive	interactive	ADJ
eajbcs-1073	389	38	penalty	penalty	NOUN
eajbcs-1073	389	39	function	function	NOUN
eajbcs-1073	389	40	method	method	NOUN
eajbcs-1073	389	41	to	to	PART
eajbcs-1073	389	42	get	get	VERB
eajbcs-1073	389	43	solutions	solution	NOUN
eajbcs-1073	389	44	x̂	x̂	PROPN
eajbcs-1073	389	45	and	and	CCONJ
eajbcs-1073	389	46	γt	γt	PROPN
eajbcs-1073	389	47	.	.	PUNCT
eajbcs-1073	390	1	then	then	ADV
eajbcs-1073	390	2	there	there	PRON
eajbcs-1073	390	3	are	be	VERB
eajbcs-1073	390	4	the	the	DET
eajbcs-1073	390	5	following	follow	VERB
eajbcs-1073	390	6	scenarios	scenario	NOUN
eajbcs-1073	390	7	:	:	PUNCT
eajbcs-1073	390	8	case	case	NOUN
eajbcs-1073	390	9	-	-	PUNCT
eajbcs-1073	390	10	i	i	PRON
eajbcs-1073	390	11	if	if	SCONJ
eajbcs-1073	390	12	γt	γt	ADP
eajbcs-1073	390	13	=	=	SYM
eajbcs-1073	390	14	0,∀	0,∀	NUM
eajbcs-1073	390	15	t	t	NOUN
eajbcs-1073	390	16	=	=	SYM
eajbcs-1073	390	17	1	1	NUM
eajbcs-1073	390	18	,	,	PUNCT
eajbcs-1073	390	19	.	.	PUNCT
eajbcs-1073	390	20	.	.	PUNCT
eajbcs-1073	390	21	.	.	PUNCT
eajbcs-1073	391	1	k	k	X
eajbcs-1073	391	2	,	,	PUNCT
eajbcs-1073	391	3	decisionmakers	decisionmaker	NOUN
eajbcs-1073	391	4	must	must	AUX
eajbcs-1073	391	5	adjust	adjust	VERB
eajbcs-1073	391	6	either	either	CCONJ
eajbcs-1073	391	7	δ	δ	PROPN
eajbcs-1073	391	8	for	for	ADP
eajbcs-1073	391	9	model	model	NOUN
eajbcs-1073	391	10	i	i	PRON
eajbcs-1073	391	11	and	and	CCONJ
eajbcs-1073	391	12	weight	weight	NOUN
eajbcs-1073	391	13	of	of	ADP
eajbcs-1073	391	14	objective	objective	ADJ
eajbcs-1073	391	15	function	function	NOUN
eajbcs-1073	391	16	for	for	ADP
eajbcs-1073	391	17	model	model	NOUN
eajbcs-1073	391	18	ii	ii	PROPN
eajbcs-1073	391	19	or	or	CCONJ
eajbcs-1073	391	20	λ	λ	PROPN
eajbcs-1073	391	21	,	,	PUNCT
eajbcs-1073	391	22	then	then	ADV
eajbcs-1073	391	23	go	go	VERB
eajbcs-1073	391	24	to	to	PART
eajbcs-1073	391	25	step	step	VERB
eajbcs-1073	391	26	5	5	NUM
eajbcs-1073	391	27	.	.	PUNCT
eajbcs-1073	391	28	case	case	NOUN
eajbcs-1073	391	29	-	-	PUNCT
eajbcs-1073	391	30	ii	ii	NOUN
eajbcs-1073	391	31	in	in	ADP
eajbcs-1073	391	32	an	an	DET
eajbcs-1073	391	33	ifde	ifde	NOUN
eajbcs-1073	391	34	,	,	PUNCT
eajbcs-1073	391	35	if	if	SCONJ
eajbcs-1073	391	36	at	at	ADV
eajbcs-1073	391	37	least	least	ADV
eajbcs-1073	391	38	one	one	NUM
eajbcs-1073	391	39	γt	γt	NOUN
eajbcs-1073	391	40	>	>	X
eajbcs-1073	391	41	0	0	NUM
eajbcs-1073	391	42	,	,	PUNCT
eajbcs-1073	391	43	then	then	ADV
eajbcs-1073	391	44	pareto	pareto	VERB
eajbcs-1073	391	45	’s	’s	PART
eajbcs-1073	391	46	optimal	optimal	ADJ
eajbcs-1073	391	47	solution	solution	NOUN
eajbcs-1073	391	48	to	to	ADP
eajbcs-1073	391	49	if	if	SCONJ
eajbcs-1073	391	50	-	-	PUNCT
eajbcs-1073	391	51	moldmp	moldmp	NOUN
eajbcs-1073	391	52	(	(	PUNCT
eajbcs-1073	391	53	2	2	NUM
eajbcs-1073	391	54	)	)	PUNCT
eajbcs-1073	391	55	is	be	AUX
eajbcs-1073	391	56	x̂.	x̂.	NOUN
eajbcs-1073	391	57	6	6	NUM
eajbcs-1073	391	58	.	.	PUNCT
eajbcs-1073	392	1	numerical	numerical	PROPN
eajbcs-1073	392	2	example	example	NOUN
eajbcs-1073	392	3	consider	consider	VERB
eajbcs-1073	392	4	the	the	DET
eajbcs-1073	392	5	following	following	ADJ
eajbcs-1073	392	6	intuitionistic	intuitionistic	ADJ
eajbcs-1073	392	7	fuzzy	fuzzy	ADJ
eajbcs-1073	392	8	multi	multi	ADJ
eajbcs-1073	392	9	-	-	ADJ
eajbcs-1073	392	10	objective	objective	ADJ
eajbcs-1073	392	11	linear	linear	ADJ
eajbcs-1073	392	12	decision	decision	NOUN
eajbcs-1073	392	13	-	-	PUNCT
eajbcs-1073	392	14	making	make	VERB
eajbcs-1073	392	15	problem	problem	NOUN
eajbcs-1073	392	16	(	(	PUNCT
eajbcs-1073	392	17	if	if	SCONJ
eajbcs-1073	392	18	-	-	PUNCT
eajbcs-1073	392	19	moldmp	moldmp	NOUN
eajbcs-1073	392	20	)	)	PUNCT
eajbcs-1073	392	21	that	that	PRON
eajbcs-1073	392	22	is	be	AUX
eajbcs-1073	392	23	given	give	VERB
eajbcs-1073	392	24	in	in	ADP
eajbcs-1073	392	25	an	an	DET
eajbcs-1073	392	26	intuitionistic	intuitionistic	ADJ
eajbcs-1073	392	27	fuzzy	fuzzy	ADJ
eajbcs-1073	392	28	decision	decision	NOUN
eajbcs-1073	392	29	environment	environment	NOUN
eajbcs-1073	392	30	:	:	PUNCT
eajbcs-1073	392	31	m̃ax	m̃ax	NOUN
eajbcs-1073	392	32	f1(x	f1(x	PROPN
eajbcs-1073	392	33	)	)	PUNCT
eajbcs-1073	392	34	=	=	SYM
eajbcs-1073	393	1	−x1	−x1	NOUN
eajbcs-1073	393	2	+	+	CCONJ
eajbcs-1073	393	3	2x2	2x2	NUM
eajbcs-1073	393	4	m̃ax	m̃ax	NOUN
eajbcs-1073	393	5	f2(x	f2(x	PROPN
eajbcs-1073	393	6	)	)	PUNCT
eajbcs-1073	393	7	=	=	SYM
eajbcs-1073	394	1	2x1	2x1	NUM
eajbcs-1073	395	1	+	+	NUM
eajbcs-1073	395	2	x2	x2	PROPN
eajbcs-1073	395	3	subject	subject	ADJ
eajbcs-1073	395	4	to	to	ADP
eajbcs-1073	395	5	:	:	PUNCT
eajbcs-1073	395	6	x	x	PUNCT
eajbcs-1073	395	7	∈	∈	NOUN
eajbcs-1073	395	8	s	s	PART
eajbcs-1073	395	9	=	=	PUNCT
eajbcs-1073	395	10			NOUN
eajbcs-1073	395	11	−x1	−x1	NOUN
eajbcs-1073	395	12	+	+	CCONJ
eajbcs-1073	395	13	3x2	3x2	NUM
eajbcs-1073	395	14	≤	≤	NUM
eajbcs-1073	395	15	21	21	NUM
eajbcs-1073	395	16	,	,	PUNCT
eajbcs-1073	395	17	4x1	4x1	NUM
eajbcs-1073	395	18	+	+	CCONJ
eajbcs-1073	395	19	3x2	3x2	NUM
eajbcs-1073	395	20	≤	≤	NUM
eajbcs-1073	395	21	45	45	NUM
eajbcs-1073	395	22	,	,	PUNCT
eajbcs-1073	395	23	x	x	SYM
eajbcs-1073	395	24	∈	∈	NOUN
eajbcs-1073	395	25	r2	r2	NOUN
eajbcs-1073	395	26	x1	x1	PROPN
eajbcs-1073	396	1	+	+	CCONJ
eajbcs-1073	396	2	3x2	3x2	NUM
eajbcs-1073	396	3	≤	≤	NUM
eajbcs-1073	396	4	27	27	NUM
eajbcs-1073	396	5	,	,	PUNCT
eajbcs-1073	396	6	3x1	3x1	NUM
eajbcs-1073	396	7	+	+	CCONJ
eajbcs-1073	396	8	x2	x2	PROPN
eajbcs-1073	396	9	≤	≤	NUM
eajbcs-1073	396	10	30	30	NUM
eajbcs-1073	396	11	,	,	PUNCT
eajbcs-1073	396	12	x1	x1	NUM
eajbcs-1073	396	13	,	,	PUNCT
eajbcs-1073	396	14	x2	x2	PROPN
eajbcs-1073	396	15	≥	≥	NOUN
eajbcs-1073	396	16	0	0	NUM
eajbcs-1073	396	17	.	.	PUNCT
eajbcs-1073	397	1			NOUN
eajbcs-1073	397	2	(	(	PUNCT
eajbcs-1073	397	3	20	20	NUM
eajbcs-1073	397	4	)	)	PUNCT
eajbcs-1073	397	5	following	follow	VERB
eajbcs-1073	397	6	the	the	DET
eajbcs-1073	397	7	proposed	propose	VERB
eajbcs-1073	397	8	solution	solution	NOUN
eajbcs-1073	397	9	method	method	NOUN
eajbcs-1073	397	10	discussed	discuss	VERB
eajbcs-1073	397	11	so	so	ADV
eajbcs-1073	397	12	far	far	ADV
eajbcs-1073	397	13	,	,	PUNCT
eajbcs-1073	397	14	we	we	PRON
eajbcs-1073	397	15	solve	solve	VERB
eajbcs-1073	397	16	the	the	DET
eajbcs-1073	397	17	given	give	VERB
eajbcs-1073	397	18	ifmoldmp	ifmoldmp	NOUN
eajbcs-1073	397	19	(	(	PUNCT
eajbcs-1073	397	20	20	20	NUM
eajbcs-1073	397	21	)	)	PUNCT
eajbcs-1073	397	22	step	step	NOUN
eajbcs-1073	397	23	by	by	ADP
eajbcs-1073	397	24	steps	step	NOUN
eajbcs-1073	397	25	:	:	PUNCT
eajbcs-1073	397	26	�	�	PROPN
eajbcs-1073	397	27	individual	individual	ADJ
eajbcs-1073	397	28	solution	solution	NOUN
eajbcs-1073	397	29	:	:	PUNCT
eajbcs-1073	397	30	xb	xb	PROPN
eajbcs-1073	397	31	1	1	NUM
eajbcs-1073	397	32	=	=	SYM
eajbcs-1073	397	33	(	(	PUNCT
eajbcs-1073	397	34	0	0	NUM
eajbcs-1073	397	35	,	,	PUNCT
eajbcs-1073	397	36	7),xb	7),xb	NUM
eajbcs-1073	397	37	2	2	NUM
eajbcs-1073	397	38	=	=	SYM
eajbcs-1073	397	39	(	(	PUNCT
eajbcs-1073	397	40	9	9	NUM
eajbcs-1073	397	41	,	,	PUNCT
eajbcs-1073	397	42	3	3	NUM
eajbcs-1073	397	43	)	)	PUNCT
eajbcs-1073	397	44	,	,	PUNCT
eajbcs-1073	397	45	and	and	CCONJ
eajbcs-1073	397	46	ideal	ideal	ADJ
eajbcs-1073	397	47	point	point	NOUN
eajbcs-1073	397	48	:	:	PUNCT
eajbcs-1073	397	49	(	(	PUNCT
eajbcs-1073	397	50	zb	zb	NOUN
eajbcs-1073	397	51	1	1	NUM
eajbcs-1073	397	52	,	,	PUNCT
eajbcs-1073	397	53	z	z	NOUN
eajbcs-1073	397	54	b	b	SYM
eajbcs-1073	397	55	2	2	NUM
eajbcs-1073	397	56	)	)	PUNCT
eajbcs-1073	397	57	=	=	SYM
eajbcs-1073	397	58	(	(	PUNCT
eajbcs-1073	397	59	14	14	NUM
eajbcs-1073	397	60	,	,	PUNCT
eajbcs-1073	397	61	21	21	NUM
eajbcs-1073	397	62	)	)	PUNCT
eajbcs-1073	397	63	�	�	NOUN
eajbcs-1073	397	64	using	use	VERB
eajbcs-1073	397	65	payoff	payoff	NOUN
eajbcs-1073	397	66	matrix	matrix	NOUN
eajbcs-1073	397	67	the	the	DET
eajbcs-1073	397	68	upper	upper	ADJ
eajbcs-1073	397	69	and	and	CCONJ
eajbcs-1073	397	70	lower	low	ADJ
eajbcs-1073	397	71	bounds	bound	NOUN
eajbcs-1073	397	72	are	be	AUX
eajbcs-1073	397	73	:	:	PUNCT
eajbcs-1073	397	74	uµ	uµ	NOUN
eajbcs-1073	397	75	1	1	NUM
eajbcs-1073	397	76	=	=	SYM
eajbcs-1073	397	77	14	14	NUM
eajbcs-1073	397	78	,	,	PUNCT
eajbcs-1073	397	79	lµ	lµ	PROPN
eajbcs-1073	397	80	1	1	NUM
eajbcs-1073	397	81	=	=	SYM
eajbcs-1073	397	82	−3	−3	ADJ
eajbcs-1073	397	83	,	,	PUNCT
eajbcs-1073	397	84	lmin	lmin	NOUN
eajbcs-1073	397	85	1	1	NUM
eajbcs-1073	397	86	=	=	SYM
eajbcs-1073	397	87	−6	−6	NOUN
eajbcs-1073	397	88	,	,	PUNCT
eajbcs-1073	397	89	umax	umax	VERB
eajbcs-1073	397	90	1	1	NUM
eajbcs-1073	397	91	=	=	SYM
eajbcs-1073	397	92	27	27	NUM
eajbcs-1073	397	93	and	and	CCONJ
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eajbcs-1073	397	95	2	2	NUM
eajbcs-1073	397	96	=	=	SYM
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eajbcs-1073	397	98	,	,	PUNCT
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eajbcs-1073	397	101	=	=	SYM
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eajbcs-1073	397	103	,	,	PUNCT
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eajbcs-1073	397	106	=	=	SYM
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eajbcs-1073	397	108	,	,	PUNCT
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eajbcs-1073	397	111	=	=	SYM
eajbcs-1073	397	112	32	32	NUM
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eajbcs-1073	397	117	=	=	PUNCT
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eajbcs-1073	397	119	,	,	PUNCT
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eajbcs-1073	397	121	=	=	PUNCT
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eajbcs-1073	397	123	.	.	PUNCT
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eajbcs-1073	398	6	:	:	PUNCT
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eajbcs-1073	398	8	=	=	SYM
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eajbcs-1073	398	10	,	,	PUNCT
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eajbcs-1073	398	18	,	,	PUNCT
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eajbcs-1073	398	20	=	=	SYM
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eajbcs-1073	398	22	,	,	PUNCT
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eajbcs-1073	398	24	=	=	SYM
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eajbcs-1073	398	31	η1(a	η1(a	PROPN
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eajbcs-1073	399	5	1	1	NUM
eajbcs-1073	399	6	)	)	PUNCT
eajbcs-1073	399	7	=	=	SYM
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eajbcs-1073	399	9	,	,	PUNCT
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eajbcs-1073	399	17	η1(a	η1(a	PROPN
eajbcs-1073	399	18	4	4	NUM
eajbcs-1073	399	19	1	1	NUM
eajbcs-1073	399	20	)	)	PUNCT
eajbcs-1073	399	21	=	=	SYM
eajbcs-1073	399	22	1	1	NUM
eajbcs-1073	399	23	,	,	PUNCT
eajbcs-1073	399	24	η1(a	η1(a	PROPN
eajbcs-1073	399	25	5	5	NUM
eajbcs-1073	399	26	1	1	NUM
eajbcs-1073	399	27	)	)	PUNCT
eajbcs-1073	399	28	=	=	SYM
eajbcs-1073	399	29	1	1	NUM
eajbcs-1073	399	30	+	+	NUM
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eajbcs-1073	399	35	f1(x	f1(x	NUM
eajbcs-1073	399	36	)	)	PUNCT
eajbcs-1073	399	37	.	.	PUNCT
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eajbcs-1073	400	2	=	=	SYM
eajbcs-1073	400	3	−10	−10	PROPN
eajbcs-1073	400	4	,	,	PUNCT
eajbcs-1073	400	5	a22	a22	X
eajbcs-1073	400	6	=	=	SYM
eajbcs-1073	400	7	7	7	NUM
eajbcs-1073	400	8	,	,	PUNCT
eajbcs-1073	400	9	a32	a32	X
eajbcs-1073	400	10	=	=	SYM
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eajbcs-1073	400	12	,	,	PUNCT
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eajbcs-1073	400	14	=	=	SYM
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eajbcs-1073	400	16	,	,	PUNCT
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eajbcs-1073	400	18	=	=	SYM
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eajbcs-1073	400	25	η2(a	η2(a	NUM
eajbcs-1073	400	26	1	1	NUM
eajbcs-1073	400	27	2	2	NUM
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eajbcs-1073	400	29	=	=	SYM
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eajbcs-1073	400	31	,	,	PUNCT
eajbcs-1073	400	32	η2(a	η2(a	NOUN
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eajbcs-1073	400	34	2	2	NUM
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eajbcs-1073	400	36	=	=	SYM
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eajbcs-1073	400	38	,	,	PUNCT
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eajbcs-1073	400	40	3	3	NUM
eajbcs-1073	400	41	2	2	NUM
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eajbcs-1073	400	43	=	=	SYM
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eajbcs-1073	400	45	,	,	PUNCT
eajbcs-1073	400	46	η2(a	η2(a	NUM
eajbcs-1073	400	47	4	4	NUM
eajbcs-1073	400	48	2	2	NUM
eajbcs-1073	400	49	)	)	PUNCT
eajbcs-1073	400	50	=	=	SYM
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eajbcs-1073	400	52	,	,	PUNCT
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eajbcs-1073	400	54	5	5	NUM
eajbcs-1073	400	55	2	2	NUM
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eajbcs-1073	400	57	=	=	SYM
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eajbcs-1073	401	2	+	+	NUM
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eajbcs-1073	401	8	)	)	PUNCT
eajbcs-1073	401	9	.	.	PUNCT
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eajbcs-1073	402	5	-	-	PUNCT
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eajbcs-1073	402	9	:	:	PUNCT
eajbcs-1073	402	10	η1(f1(x	η1(f1(x	NOUN
eajbcs-1073	402	11	)	)	PUNCT
eajbcs-1073	402	12	)	)	PUNCT
eajbcs-1073	403	1	=	=	SYM
eajbcs-1073	404	1	−0.0286x1	−0.0286x1	X
eajbcs-1073	404	2	+	+	X
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eajbcs-1073	404	4	−	−	NOUN
eajbcs-1073	404	5	0.59q11	0.59q11	NOUN
eajbcs-1073	405	1	−	−	NOUN
eajbcs-1073	405	2	0.0514q21	0.0514q21	NOUN
eajbcs-1073	405	3	+	+	CCONJ
eajbcs-1073	405	4	0.61	0.61	NUM
eajbcs-1073	405	5	and	and	CCONJ
eajbcs-1073	405	6	η2(f2(x	η2(f2(x	PROPN
eajbcs-1073	405	7	)	)	PUNCT
eajbcs-1073	405	8	)	)	PUNCT
eajbcs-1073	406	1	=	=	PUNCT
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eajbcs-1073	407	1	+	+	CCONJ
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eajbcs-1073	407	3	−	−	NOUN
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eajbcs-1073	407	5	−	−	NOUN
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eajbcs-1073	407	7	+	+	CCONJ
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eajbcs-1073	407	13	proposed	propose	VERB
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eajbcs-1073	407	15	(	(	PUNCT
eajbcs-1073	407	16	15	15	NUM
eajbcs-1073	407	17	)	)	PUNCT
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eajbcs-1073	407	21	if	if	SCONJ
eajbcs-1073	407	22	-	-	PUNCT
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eajbcs-1073	407	24	(	(	PUNCT
eajbcs-1073	407	25	20	20	NUM
eajbcs-1073	407	26	)	)	PUNCT
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eajbcs-1073	410	2	.	.	PUNCT
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eajbcs-1073	411	2	2024	2024	NUM
eajbcs-1073	411	3	)	)	PUNCT
eajbcs-1073	411	4	,	,	PUNCT
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eajbcs-1073	411	8	,	,	PUNCT
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eajbcs-1073	411	10	.	.	NOUN
eajbcs-1073	411	11	2	2	NUM
eajbcs-1073	411	12	,	,	PUNCT
eajbcs-1073	411	13	41	41	NUM
eajbcs-1073	411	14	-	-	SYM
eajbcs-1073	411	15	57	57	NUM
eajbcs-1073	411	16	52	52	NUM
eajbcs-1073	411	17	model	model	NOUN
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eajbcs-1073	411	19	:	:	PUNCT
eajbcs-1073	411	20	assign	assign	VERB
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eajbcs-1073	411	22	value	value	NOUN
eajbcs-1073	411	23	of	of	ADP
eajbcs-1073	411	24	δ	δ	PROPN
eajbcs-1073	411	25	∈	∈	PROPN
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eajbcs-1073	412	2	0	0	NUM
eajbcs-1073	412	3	,	,	PUNCT
eajbcs-1073	412	4	1	1	NUM
eajbcs-1073	412	5	]	]	PUNCT
eajbcs-1073	412	6	max	max	PROPN
eajbcs-1073	412	7	δα0	δα0	PROPN
eajbcs-1073	413	1	+	+	CCONJ
eajbcs-1073	413	2	(	(	PUNCT
eajbcs-1073	413	3	1−	1−	NUM
eajbcs-1073	413	4	δ)α1	δ)α1	PROPN
eajbcs-1073	413	5	+	+	CCONJ
eajbcs-1073	413	6	(	(	PUNCT
eajbcs-1073	413	7	1−	1−	NUM
eajbcs-1073	413	8	δ)α2	δ)α2	PROPN
eajbcs-1073	413	9	subject	subject	ADJ
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eajbcs-1073	413	11			ADV
eajbcs-1073	413	12	α0	α0	ADJ
eajbcs-1073	413	13	+	+	CCONJ
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eajbcs-1073	413	15	+	+	CCONJ
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eajbcs-1073	413	17	−	−	NOUN
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eajbcs-1073	413	19	+	+	CCONJ
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eajbcs-1073	414	1	+	+	CCONJ
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eajbcs-1073	414	6	+	+	CCONJ
eajbcs-1073	414	7	α2	α2	ADJ
eajbcs-1073	414	8	−	−	NOUN
eajbcs-1073	414	9	0.074x1	0.074x1	NOUN
eajbcs-1073	414	10	−	−	NOUN
eajbcs-1073	414	11	0.037x2	0.037x2	NUM
eajbcs-1073	414	12	+	+	CCONJ
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eajbcs-1073	414	14	+	+	CCONJ
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eajbcs-1073	414	17	0.227	0.227	NUM
eajbcs-1073	415	1	x1	x1	NOUN
eajbcs-1073	415	2	−	−	PROPN
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eajbcs-1073	415	4	−	−	NOUN
eajbcs-1073	415	5	q11	q11	NOUN
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eajbcs-1073	415	7	3	3	NUM
eajbcs-1073	415	8	,	,	PUNCT
eajbcs-1073	415	9	x1	x1	PROPN
eajbcs-1073	415	10	−	−	PROPN
eajbcs-1073	415	11	2x2	2x2	NUM
eajbcs-1073	416	1	−	−	PROPN
eajbcs-1073	416	2	q21	q21	NOUN
eajbcs-1073	416	3	≤	≤	PUNCT
eajbcs-1073	416	4	−7	−7	NOUN
eajbcs-1073	416	5	−2x1	−2x1	NUM
eajbcs-1073	416	6	−	−	PUNCT
eajbcs-1073	416	7	x2	x2	INTJ
eajbcs-1073	416	8	−	−	PROPN
eajbcs-1073	416	9	q12	q12	NOUN
eajbcs-1073	416	10	≤	≤	PUNCT
eajbcs-1073	416	11	−7	−7	PROPN
eajbcs-1073	416	12	,	,	PUNCT
eajbcs-1073	416	13	−2x1	−2x1	NUM
eajbcs-1073	416	14	−	−	NOUN
eajbcs-1073	416	15	x2	x2	INTJ
eajbcs-1073	416	16	−	−	PROPN
eajbcs-1073	416	17	q22	q22	NOUN
eajbcs-1073	416	18	≤	≤	NUM
eajbcs-1073	416	19	−17	−17	NOUN
eajbcs-1073	416	20	−x1	−x1	NOUN
eajbcs-1073	416	21	+	+	CCONJ
eajbcs-1073	416	22	3x2	3x2	NUM
eajbcs-1073	416	23	≤	≤	NUM
eajbcs-1073	416	24	21	21	NUM
eajbcs-1073	416	25	,	,	PUNCT
eajbcs-1073	416	26	4x1	4x1	NUM
eajbcs-1073	416	27	+	+	CCONJ
eajbcs-1073	416	28	3x2	3x2	NUM
eajbcs-1073	416	29	≤	≤	NUM
eajbcs-1073	416	30	45	45	NUM
eajbcs-1073	416	31	,	,	PUNCT
eajbcs-1073	416	32	x1	x1	PROPN
eajbcs-1073	416	33	+	+	PUNCT
eajbcs-1073	416	34	3x2	3x2	NUM
eajbcs-1073	416	35	≤	≤	NUM
eajbcs-1073	416	36	27	27	NUM
eajbcs-1073	416	37	,	,	PUNCT
eajbcs-1073	416	38	3x1	3x1	NUM
eajbcs-1073	416	39	+	+	CCONJ
eajbcs-1073	416	40	x2	x2	PROPN
eajbcs-1073	416	41	≤	≤	NUM
eajbcs-1073	416	42	30	30	NUM
eajbcs-1073	416	43	x1	x1	PROPN
eajbcs-1073	416	44	,	,	PUNCT
eajbcs-1073	416	45	x2	x2	PROPN
eajbcs-1073	416	46	,	,	PUNCT
eajbcs-1073	416	47	α0	α0	ADJ
eajbcs-1073	416	48	,	,	PUNCT
eajbcs-1073	416	49	α1	α1	PROPN
eajbcs-1073	416	50	,	,	PUNCT
eajbcs-1073	416	51	α2	α2	ADJ
eajbcs-1073	416	52	,	,	PUNCT
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eajbcs-1073	416	54	1	1	NUM
eajbcs-1073	416	55	1	1	NUM
eajbcs-1073	416	56	,	,	PUNCT
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eajbcs-1073	416	58	2	2	NUM
eajbcs-1073	416	59	1	1	NUM
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eajbcs-1073	416	61	q	q	NOUN
eajbcs-1073	416	62	1	1	NUM
eajbcs-1073	416	63	2	2	NUM
eajbcs-1073	416	64	,	,	PUNCT
eajbcs-1073	416	65	q	q	NOUN
eajbcs-1073	416	66	2	2	NUM
eajbcs-1073	416	67	2	2	NUM
eajbcs-1073	416	68	≥	≥	NOUN
eajbcs-1073	416	69	0	0	NUM
eajbcs-1073	416	70	.	.	PUNCT
eajbcs-1073	417	1			NUM
eajbcs-1073	417	2	(	(	PUNCT
eajbcs-1073	417	3	21	21	NUM
eajbcs-1073	417	4	)	)	PUNCT
eajbcs-1073	417	5	�	�	PROPN
eajbcs-1073	417	6	in	in	ADP
eajbcs-1073	417	7	a	a	DET
eajbcs-1073	417	8	similar	similar	ADJ
eajbcs-1073	417	9	way	way	NOUN
eajbcs-1073	417	10	,	,	PUNCT
eajbcs-1073	417	11	using	use	VERB
eajbcs-1073	417	12	the	the	DET
eajbcs-1073	417	13	proposed	propose	VERB
eajbcs-1073	417	14	model	model	NOUN
eajbcs-1073	417	15	(	(	PUNCT
eajbcs-1073	417	16	16	16	NUM
eajbcs-1073	417	17	)	)	PUNCT
eajbcs-1073	418	1	,	,	PUNCT
eajbcs-1073	418	2	we	we	PRON
eajbcs-1073	418	3	converted	convert	VERB
eajbcs-1073	418	4	the	the	DET
eajbcs-1073	418	5	given	give	VERB
eajbcs-1073	418	6	if	if	SCONJ
eajbcs-1073	418	7	-	-	PUNCT
eajbcs-1073	418	8	moldmp	moldmp	NOUN
eajbcs-1073	418	9	(	(	PUNCT
eajbcs-1073	418	10	20	20	NUM
eajbcs-1073	418	11	)	)	PUNCT
eajbcs-1073	418	12	into	into	ADP
eajbcs-1073	418	13	the	the	DET
eajbcs-1073	418	14	following	follow	VERB
eajbcs-1073	418	15	single	single	ADJ
eajbcs-1073	418	16	-	-	PUNCT
eajbcs-1073	418	17	objective	objective	ADJ
eajbcs-1073	418	18	optimization	optimization	NOUN
eajbcs-1073	418	19	model	model	NOUN
eajbcs-1073	418	20	:	:	PUNCT
eajbcs-1073	418	21	model	model	PROPN
eajbcs-1073	418	22	ii	ii	PROPN
eajbcs-1073	418	23	:	:	PUNCT
eajbcs-1073	418	24	assign	assign	VERB
eajbcs-1073	418	25	the	the	DET
eajbcs-1073	418	26	relative	relative	ADJ
eajbcs-1073	418	27	important	important	ADJ
eajbcs-1073	418	28	of	of	ADP
eajbcs-1073	418	29	each	each	DET
eajbcs-1073	418	30	objective	objective	ADJ
eajbcs-1073	418	31	function	function	NOUN
eajbcs-1073	418	32	w−	w−	PROPN
eajbcs-1073	418	33	t	t	NOUN
eajbcs-1073	418	34	minw−	minw−	ADV
eajbcs-1073	419	1	1	1	NUM
eajbcs-1073	419	2	d	d	NOUN
eajbcs-1073	419	3	−	−	PROPN
eajbcs-1073	419	4	1	1	NUM
eajbcs-1073	419	5	+	+	NUM
eajbcs-1073	419	6	w−	w−	NOUN
eajbcs-1073	419	7	2	2	NUM
eajbcs-1073	419	8	d	d	NOUN
eajbcs-1073	419	9	−	−	PROPN
eajbcs-1073	419	10	2	2	NUM
eajbcs-1073	419	11	subject	subject	NOUN
eajbcs-1073	419	12	to	to	ADP
eajbcs-1073	419	13	:	:	PUNCT
eajbcs-1073	419	14			NUM
eajbcs-1073	419	15	0.0286x1	0.0286x1	NUM
eajbcs-1073	420	1	−	−	NOUN
eajbcs-1073	420	2	0.057x2	0.057x2	NOUN
eajbcs-1073	420	3	+	+	CCONJ
eajbcs-1073	420	4	0.59q11	0.59q11	X
eajbcs-1073	421	1	+	+	X
eajbcs-1073	421	2	0.0514q21	0.0514q21	NOUN
eajbcs-1073	421	3	−	−	NOUN
eajbcs-1073	422	1	d−1	d−1	PROPN
eajbcs-1073	422	2	≤	≤	ADV
eajbcs-1073	422	3	−0.39	−0.39	NOUN
eajbcs-1073	422	4	−0.074x1	−0.074x1	NOUN
eajbcs-1073	422	5	−	−	NOUN
eajbcs-1073	422	6	0.037x2	0.037x2	NUM
eajbcs-1073	422	7	+	+	CCONJ
eajbcs-1073	422	8	0.033q12	0.033q12	NUM
eajbcs-1073	423	1	+	+	CCONJ
eajbcs-1073	423	2	0.048q22	0.048q22	NOUN
eajbcs-1073	423	3	−	−	PROPN
eajbcs-1073	423	4	d−2	d−2	PROPN
eajbcs-1073	423	5	≤	≤	NUM
eajbcs-1073	424	1	−0.773	−0.773	NOUN
eajbcs-1073	425	1	x1	x1	NOUN
eajbcs-1073	425	2	−	−	PROPN
eajbcs-1073	426	1	2x2	2x2	NUM
eajbcs-1073	426	2	−	−	NOUN
eajbcs-1073	426	3	q11	q11	NOUN
eajbcs-1073	426	4	≤	≤	NOUN
eajbcs-1073	426	5	3	3	NUM
eajbcs-1073	426	6	,	,	PUNCT
eajbcs-1073	426	7	x1	x1	PROPN
eajbcs-1073	426	8	−	−	PROPN
eajbcs-1073	426	9	2x2	2x2	NUM
eajbcs-1073	427	1	−	−	PROPN
eajbcs-1073	427	2	q21	q21	NOUN
eajbcs-1073	427	3	≤	≤	PUNCT
eajbcs-1073	427	4	−7	−7	NOUN
eajbcs-1073	427	5	−2x1	−2x1	NUM
eajbcs-1073	427	6	−	−	PUNCT
eajbcs-1073	427	7	x2	x2	INTJ
eajbcs-1073	427	8	−	−	PROPN
eajbcs-1073	427	9	q12	q12	NOUN
eajbcs-1073	427	10	≤	≤	PUNCT
eajbcs-1073	427	11	−7	−7	PROPN
eajbcs-1073	427	12	,	,	PUNCT
eajbcs-1073	427	13	−2x1	−2x1	NUM
eajbcs-1073	427	14	−	−	NOUN
eajbcs-1073	427	15	x2	x2	INTJ
eajbcs-1073	427	16	−	−	PROPN
eajbcs-1073	427	17	q22	q22	NOUN
eajbcs-1073	427	18	≤	≤	NUM
eajbcs-1073	427	19	−17	−17	NOUN
eajbcs-1073	427	20	−x1	−x1	NOUN
eajbcs-1073	427	21	+	+	CCONJ
eajbcs-1073	427	22	3x2	3x2	NUM
eajbcs-1073	427	23	≤	≤	NUM
eajbcs-1073	427	24	21	21	NUM
eajbcs-1073	427	25	,	,	PUNCT
eajbcs-1073	427	26	4x1	4x1	NUM
eajbcs-1073	427	27	+	+	CCONJ
eajbcs-1073	427	28	3x2	3x2	NUM
eajbcs-1073	427	29	≤	≤	NUM
eajbcs-1073	427	30	45	45	NUM
eajbcs-1073	427	31	,	,	PUNCT
eajbcs-1073	427	32	x1	x1	PROPN
eajbcs-1073	427	33	+	+	PUNCT
eajbcs-1073	427	34	3x2	3x2	NUM
eajbcs-1073	427	35	≤	≤	NUM
eajbcs-1073	427	36	27	27	NUM
eajbcs-1073	427	37	,	,	PUNCT
eajbcs-1073	427	38	3x1	3x1	NUM
eajbcs-1073	427	39	+	+	CCONJ
eajbcs-1073	427	40	x2	x2	PROPN
eajbcs-1073	427	41	≤	≤	NUM
eajbcs-1073	427	42	30	30	NUM
eajbcs-1073	427	43	x1	x1	PROPN
eajbcs-1073	427	44	,	,	PUNCT
eajbcs-1073	427	45	x2	x2	PROPN
eajbcs-1073	427	46	,	,	PUNCT
eajbcs-1073	427	47	d	d	PROPN
eajbcs-1073	427	48	−	−	PROPN
eajbcs-1073	427	49	1	1	NUM
eajbcs-1073	427	50	,	,	PUNCT
eajbcs-1073	427	51	d	d	NOUN
eajbcs-1073	427	52	−	−	PROPN
eajbcs-1073	427	53	2	2	NUM
eajbcs-1073	427	54	,	,	PUNCT
eajbcs-1073	427	55	q	q	NOUN
eajbcs-1073	427	56	1	1	NUM
eajbcs-1073	427	57	1	1	NUM
eajbcs-1073	427	58	,	,	PUNCT
eajbcs-1073	427	59	q	q	NOUN
eajbcs-1073	427	60	2	2	NUM
eajbcs-1073	427	61	1	1	NUM
eajbcs-1073	427	62	,	,	PUNCT
eajbcs-1073	427	63	q	q	NOUN
eajbcs-1073	427	64	1	1	NUM
eajbcs-1073	427	65	2	2	NUM
eajbcs-1073	427	66	,	,	PUNCT
eajbcs-1073	427	67	q	q	NOUN
eajbcs-1073	427	68	2	2	NUM
eajbcs-1073	427	69	2	2	NUM
eajbcs-1073	427	70	≥	≥	NOUN
eajbcs-1073	427	71	0	0	NUM
eajbcs-1073	427	72	.	.	PUNCT
eajbcs-1073	428	1			NUM
eajbcs-1073	428	2	(	(	PUNCT
eajbcs-1073	428	3	22	22	NUM
eajbcs-1073	428	4	)	)	PUNCT
eajbcs-1073	428	5	now	now	ADV
eajbcs-1073	428	6	,	,	PUNCT
eajbcs-1073	428	7	using	use	VERB
eajbcs-1073	428	8	matlab	matlab	PROPN
eajbcs-1073	428	9	-	-	PUNCT
eajbcs-1073	428	10	r2023	r2023	NOUN
eajbcs-1073	428	11	software	software	NOUN
eajbcs-1073	428	12	to	to	PART
eajbcs-1073	428	13	solve	solve	VERB
eajbcs-1073	428	14	model	model	NOUN
eajbcs-1073	428	15	i	i	PRON
eajbcs-1073	428	16	(	(	PUNCT
eajbcs-1073	428	17	21	21	NUM
eajbcs-1073	428	18	)	)	PUNCT
eajbcs-1073	428	19	and	and	CCONJ
eajbcs-1073	428	20	model	model	PROPN
eajbcs-1073	428	21	ii	ii	PROPN
eajbcs-1073	428	22	(	(	PUNCT
eajbcs-1073	428	23	22	22	NUM
eajbcs-1073	428	24	)	)	PUNCT
eajbcs-1073	428	25	,	,	PUNCT
eajbcs-1073	428	26	we	we	PRON
eajbcs-1073	428	27	obtained	obtain	VERB
eajbcs-1073	428	28	the	the	DET
eajbcs-1073	428	29	pareto	pareto	VERB
eajbcs-1073	428	30	-	-	PUNCT
eajbcs-1073	428	31	optimal	optimal	ADJ
eajbcs-1073	428	32	solution	solution	NOUN
eajbcs-1073	428	33	x1	x1	X
eajbcs-1073	429	1	=	=	SYM
eajbcs-1073	429	2	6,x2	6,x2	NUM
eajbcs-1073	429	3	=	=	SYM
eajbcs-1073	429	4	7	7	NUM
eajbcs-1073	429	5	,	,	PUNCT
eajbcs-1073	429	6	fval	fval	NOUN
eajbcs-1073	429	7	=	=	SYM
eajbcs-1073	429	8	1.1311	1.1311	NUM
eajbcs-1073	429	9	,	,	PUNCT
eajbcs-1073	429	10	f1(x	f1(x	PROPN
eajbcs-1073	429	11	∗	∗	NOUN
eajbcs-1073	429	12	)	)	PUNCT
eajbcs-1073	429	13	=	=	SYM
eajbcs-1073	429	14	8	8	NUM
eajbcs-1073	429	15	,	,	PUNCT
eajbcs-1073	429	16	and	and	CCONJ
eajbcs-1073	429	17	f2(x	f2(x	NUM
eajbcs-1073	429	18	∗	∗	NOUN
eajbcs-1073	429	19	)	)	PUNCT
eajbcs-1073	429	20	=	=	SYM
eajbcs-1073	429	21	19	19	NUM
eajbcs-1073	429	22	for	for	ADP
eajbcs-1073	429	23	the	the	DET
eajbcs-1073	429	24	given	give	VERB
eajbcs-1073	429	25	if	if	SCONJ
eajbcs-1073	429	26	-	-	PUNCT
eajbcs-1073	429	27	moldmp	moldmp	NOUN
eajbcs-1073	429	28	(	(	PUNCT
eajbcs-1073	429	29	20	20	NUM
eajbcs-1073	429	30	)	)	PUNCT
eajbcs-1073	429	31	and	and	CCONJ
eajbcs-1073	429	32	shown	show	VERB
eajbcs-1073	429	33	in	in	ADP
eajbcs-1073	429	34	table	table	NOUN
eajbcs-1073	429	35	1	1	NUM
eajbcs-1073	429	36	.	.	PUNCT
eajbcs-1073	429	37	table	table	NOUN
eajbcs-1073	429	38	1	1	NUM
eajbcs-1073	429	39	:	:	PUNCT
eajbcs-1073	429	40	results	result	NOUN
eajbcs-1073	429	41	for	for	ADP
eajbcs-1073	429	42	model	model	NOUN
eajbcs-1073	430	1	i	i	X
eajbcs-1073	430	2	(	(	PUNCT
eajbcs-1073	430	3	21	21	NUM
eajbcs-1073	430	4	)	)	PUNCT
eajbcs-1073	430	5	and	and	CCONJ
eajbcs-1073	430	6	model	model	PROPN
eajbcs-1073	430	7	ii	ii	PROPN
eajbcs-1073	430	8	(	(	PUNCT
eajbcs-1073	430	9	22	22	NUM
eajbcs-1073	430	10	)	)	PUNCT
eajbcs-1073	430	11	in	in	ADP
eajbcs-1073	430	12	different	different	ADJ
eajbcs-1073	430	13	cases	case	NOUN
eajbcs-1073	430	14	δ	δ	PROPN
eajbcs-1073	430	15	,	,	PUNCT
eajbcs-1073	430	16	w−	w−	PROPN
eajbcs-1073	430	17	t	t	NOUN
eajbcs-1073	430	18	optimal	optimal	ADJ
eajbcs-1073	430	19	solution	solution	NOUN
eajbcs-1073	430	20	optimal	optimal	ADJ
eajbcs-1073	430	21	value	value	NOUN
eajbcs-1073	430	22	model	model	NOUN
eajbcs-1073	430	23	i	i	PROPN
eajbcs-1073	430	24	δ	δ	X
eajbcs-1073	430	25	=	=	NOUN
eajbcs-1073	430	26	0.36	0.36	NUM
eajbcs-1073	430	27	α0	α0	ADJ
eajbcs-1073	430	28	=	=	SYM
eajbcs-1073	430	29	0,α1	0,α1	NUM
eajbcs-1073	430	30	=	=	SYM
eajbcs-1073	430	31	0.83739,α2	0.83739,α2	NOUN
eajbcs-1073	430	32	=	=	NOUN
eajbcs-1073	430	33	0.929	0.929	NUM
eajbcs-1073	430	34	,	,	PUNCT
eajbcs-1073	430	35	x1	x1	PROPN
eajbcs-1073	430	36	=	=	SYM
eajbcs-1073	431	1	6,x2	6,x2	NUM
eajbcs-1073	431	2	=	=	SYM
eajbcs-1073	431	3	7	7	NUM
eajbcs-1073	431	4	,	,	PUNCT
eajbcs-1073	431	5	fval	fval	NOUN
eajbcs-1073	431	6	=	=	SYM
eajbcs-1073	431	7	1.1311	1.1311	NUM
eajbcs-1073	431	8	f1(x	f1(x	PROPN
eajbcs-1073	431	9	∗	∗	NOUN
eajbcs-1073	431	10	)	)	PUNCT
eajbcs-1073	432	1	=	=	SYM
eajbcs-1073	432	2	8	8	NUM
eajbcs-1073	432	3	,	,	PUNCT
eajbcs-1073	432	4	f2(x	f2(x	PROPN
eajbcs-1073	432	5	∗	∗	NOUN
eajbcs-1073	432	6	)	)	PUNCT
eajbcs-1073	432	7	=	=	SYM
eajbcs-1073	432	8	19	19	NUM
eajbcs-1073	432	9	δ	δ	NOUN
eajbcs-1073	432	10	=	=	SYM
eajbcs-1073	432	11	0.5	0.5	NUM
eajbcs-1073	432	12	α0	α0	ADJ
eajbcs-1073	432	13	=	=	SYM
eajbcs-1073	432	14	0,α1	0,α1	NUM
eajbcs-1073	432	15	=	=	SYM
eajbcs-1073	432	16	0.8374,α2	0.8374,α2	PROPN
eajbcs-1073	432	17	=	=	SYM
eajbcs-1073	432	18	0.93	0.93	NUM
eajbcs-1073	432	19	,	,	PUNCT
eajbcs-1073	432	20	x1	x1	PROPN
eajbcs-1073	433	1	=	=	PUNCT
eajbcs-1073	433	2	5.991	5.991	NUM
eajbcs-1073	433	3	,	,	PUNCT
eajbcs-1073	433	4	x2	x2	PROPN
eajbcs-1073	433	5	=	=	SYM
eajbcs-1073	433	6	7	7	NUM
eajbcs-1073	433	7	,	,	PUNCT
eajbcs-1073	433	8	fval	fval	NOUN
eajbcs-1073	433	9	=	=	SYM
eajbcs-1073	433	10	0.8837	0.8837	NUM
eajbcs-1073	433	11	f1(x	f1(x	NUM
eajbcs-1073	433	12	∗	∗	NOUN
eajbcs-1073	433	13	)	)	PUNCT
eajbcs-1073	434	1	=	=	PUNCT
eajbcs-1073	434	2	8.009	8.009	NUM
eajbcs-1073	434	3	,	,	PUNCT
eajbcs-1073	434	4	f2(x	f2(x	PROPN
eajbcs-1073	434	5	∗	∗	NOUN
eajbcs-1073	434	6	)	)	PUNCT
eajbcs-1073	435	1	=	=	SYM
eajbcs-1073	435	2	18.982	18.982	NUM
eajbcs-1073	435	3	δ	δ	NOUN
eajbcs-1073	435	4	=	=	PRON
eajbcs-1073	435	5	0.8	0.8	NUM
eajbcs-1073	435	6	α0	α0	ADJ
eajbcs-1073	435	7	=	=	SYM
eajbcs-1073	435	8	0.8777,α1	0.8777,α1	X
eajbcs-1073	436	1	=	=	SYM
eajbcs-1073	436	2	0,α2	0,α2	PROPN
eajbcs-1073	436	3	=	=	SYM
eajbcs-1073	436	4	0	0	PROPN
eajbcs-1073	436	5	,	,	PUNCT
eajbcs-1073	436	6	x1	x1	NOUN
eajbcs-1073	436	7	=	=	NOUN
eajbcs-1073	436	8	5.152	5.152	NUM
eajbcs-1073	436	9	,	,	PUNCT
eajbcs-1073	436	10	x2	x2	PROPN
eajbcs-1073	436	11	=	=	SYM
eajbcs-1073	436	12	7.282	7.282	NUM
eajbcs-1073	436	13	,	,	PUNCT
eajbcs-1073	436	14	fval	fval	NOUN
eajbcs-1073	436	15	=	=	SYM
eajbcs-1073	436	16	0.7022	0.7022	NUM
eajbcs-1073	436	17	f1(x	f1(x	PROPN
eajbcs-1073	436	18	∗	∗	NOUN
eajbcs-1073	436	19	)	)	PUNCT
eajbcs-1073	436	20	=	=	SYM
eajbcs-1073	437	1	9.412	9.412	NUM
eajbcs-1073	437	2	,	,	PUNCT
eajbcs-1073	437	3	f2(x	f2(x	PROPN
eajbcs-1073	437	4	∗	∗	NOUN
eajbcs-1073	437	5	)	)	PUNCT
eajbcs-1073	437	6	=	=	SYM
eajbcs-1073	437	7	17.586	17.586	NUM
eajbcs-1073	437	8	model	model	NOUN
eajbcs-1073	437	9	ii	ii	PROPN
eajbcs-1073	437	10	w−	w−	PROPN
eajbcs-1073	437	11	1	1	NUM
eajbcs-1073	437	12	=	=	SYM
eajbcs-1073	437	13	0.6	0.6	NUM
eajbcs-1073	437	14	,	,	PUNCT
eajbcs-1073	437	15	w−	w−	X
eajbcs-1073	437	16	2	2	NUM
eajbcs-1073	437	17	=	=	SYM
eajbcs-1073	437	18	0.4	0.4	NUM
eajbcs-1073	437	19	d−1	d−1	PROPN
eajbcs-1073	437	20	=	=	PUNCT
eajbcs-1073	437	21	0.10548,d−2	0.10548,d−2	PROPN
eajbcs-1073	437	22	=	=	SYM
eajbcs-1073	437	23	0.144	0.144	NUM
eajbcs-1073	437	24	,	,	PUNCT
eajbcs-1073	437	25	x1	x1	PROPN
eajbcs-1073	437	26	=	=	SYM
eajbcs-1073	438	1	4.800,x2	4.800,x2	NUM
eajbcs-1073	438	2	=	=	SYM
eajbcs-1073	438	3	7.399,fval	7.399,fval	PROPN
eajbcs-1073	438	4	=	=	SYM
eajbcs-1073	438	5	0.12089	0.12089	NUM
eajbcs-1073	438	6	f1(x	f1(x	PROPN
eajbcs-1073	438	7	∗	∗	NOUN
eajbcs-1073	438	8	)	)	PUNCT
eajbcs-1073	438	9	=	=	PUNCT
eajbcs-1073	439	1	9.998	9.998	NUM
eajbcs-1073	439	2	,	,	PUNCT
eajbcs-1073	439	3	f2(x	f2(x	PROPN
eajbcs-1073	439	4	∗	∗	NOUN
eajbcs-1073	439	5	)	)	PUNCT
eajbcs-1073	439	6	=	=	SYM
eajbcs-1073	439	7	16.882	16.882	NUM
eajbcs-1073	439	8	w−	w−	NOUN
eajbcs-1073	439	9	1	1	NUM
eajbcs-1073	439	10	=	=	SYM
eajbcs-1073	439	11	0.5	0.5	NUM
eajbcs-1073	439	12	,	,	PUNCT
eajbcs-1073	439	13	w−	w−	X
eajbcs-1073	439	14	2	2	NUM
eajbcs-1073	439	15	=	=	SYM
eajbcs-1073	439	16	0.5	0.5	NUM
eajbcs-1073	439	17	d−1	d−1	PROPN
eajbcs-1073	439	18	=	=	PUNCT
eajbcs-1073	439	19	0.1626,d−2	0.1626,d−2	NOUN
eajbcs-1073	439	20	=	=	SYM
eajbcs-1073	439	21	0.0700	0.0700	NUM
eajbcs-1073	439	22	,	,	PUNCT
eajbcs-1073	439	23	x1	x1	PROPN
eajbcs-1073	439	24	=	=	PUNCT
eajbcs-1073	440	1	6.00,x2	6.00,x2	NUM
eajbcs-1073	440	2	=	=	PUNCT
eajbcs-1073	441	1	6.999,fval	6.999,fval	NOUN
eajbcs-1073	441	2	=	=	PUNCT
eajbcs-1073	441	3	0.1163	0.1163	NUM
eajbcs-1073	441	4	f1(x	f1(x	PROPN
eajbcs-1073	441	5	∗	∗	NOUN
eajbcs-1073	441	6	)	)	PUNCT
eajbcs-1073	441	7	=	=	SYM
eajbcs-1073	442	1	7.998	7.998	NUM
eajbcs-1073	442	2	,	,	PUNCT
eajbcs-1073	442	3	f2(x	f2(x	PROPN
eajbcs-1073	442	4	∗	∗	NOUN
eajbcs-1073	442	5	)	)	PUNCT
eajbcs-1073	442	6	=	=	SYM
eajbcs-1073	442	7	18.999	18.999	NUM
eajbcs-1073	442	8	w−	w−	NOUN
eajbcs-1073	442	9	1	1	NUM
eajbcs-1073	442	10	=	=	SYM
eajbcs-1073	442	11	0.3	0.3	NUM
eajbcs-1073	442	12	,	,	PUNCT
eajbcs-1073	442	13	w−	w−	X
eajbcs-1073	442	14	2	2	NUM
eajbcs-1073	442	15	=	=	SYM
eajbcs-1073	442	16	0.7	0.7	NUM
eajbcs-1073	442	17	d−1	d−1	PROPN
eajbcs-1073	442	18	=	=	PUNCT
eajbcs-1073	442	19	0.1626,d−2	0.1626,d−2	PROPN
eajbcs-1073	442	20	=	=	SYM
eajbcs-1073	442	21	0.0700	0.0700	NUM
eajbcs-1073	442	22	,	,	PUNCT
eajbcs-1073	442	23	x1	x1	PROPN
eajbcs-1073	442	24	=	=	SYM
eajbcs-1073	443	1	6,x2	6,x2	NUM
eajbcs-1073	443	2	=	=	SYM
eajbcs-1073	443	3	7.00	7.00	NUM
eajbcs-1073	443	4	,	,	PUNCT
eajbcs-1073	443	5	fval	fval	NOUN
eajbcs-1073	443	6	=	=	SYM
eajbcs-1073	443	7	0.0978	0.0978	NUM
eajbcs-1073	443	8	f1(x	f1(x	PROPN
eajbcs-1073	443	9	∗	∗	NOUN
eajbcs-1073	443	10	)	)	PUNCT
eajbcs-1073	444	1	=	=	SYM
eajbcs-1073	444	2	8	8	NUM
eajbcs-1073	444	3	,	,	PUNCT
eajbcs-1073	444	4	f2(x	f2(x	PROPN
eajbcs-1073	444	5	∗	∗	NOUN
eajbcs-1073	444	6	)	)	PUNCT
eajbcs-1073	444	7	=	=	SYM
eajbcs-1073	444	8	19	19	NUM
eajbcs-1073	444	9	east	east	PROPN
eajbcs-1073	444	10	afr	afr	PROPN
eajbcs-1073	444	11	.	.	PUNCT
eajbcs-1073	445	1	j.	j.	PROPN
eajbcs-1073	445	2	biophys	biophys	PROPN
eajbcs-1073	445	3	.	.	PUNCT
eajbcs-1073	446	1	comput	comput	NOUN
eajbcs-1073	446	2	.	.	PUNCT
eajbcs-1073	447	1	sci	sci	PROPN
eajbcs-1073	447	2	.	.	PUNCT
eajbcs-1073	448	1	(	(	PUNCT
eajbcs-1073	448	2	2024	2024	NUM
eajbcs-1073	448	3	)	)	PUNCT
eajbcs-1073	448	4	,	,	PUNCT
eajbcs-1073	448	5	vol	vol	NOUN
eajbcs-1073	448	6	.	.	PROPN
eajbcs-1073	448	7	5	5	NUM
eajbcs-1073	448	8	,	,	PUNCT
eajbcs-1073	448	9	no	no	INTJ
eajbcs-1073	448	10	.	.	NOUN
eajbcs-1073	448	11	2	2	NUM
eajbcs-1073	448	12	,	,	PUNCT
eajbcs-1073	448	13	41	41	NUM
eajbcs-1073	448	14	-	-	SYM
eajbcs-1073	448	15	57	57	NUM
eajbcs-1073	448	16	53	53	NUM
eajbcs-1073	448	17	7	7	NUM
eajbcs-1073	448	18	.	.	PUNCT
eajbcs-1073	448	19	results	result	NOUN
eajbcs-1073	448	20	and	and	CCONJ
eajbcs-1073	448	21	discussion	discussion	NOUN
eajbcs-1073	448	22	for	for	ADP
eajbcs-1073	448	23	different	different	ADJ
eajbcs-1073	448	24	values	value	NOUN
eajbcs-1073	448	25	of	of	ADP
eajbcs-1073	448	26	δ	δ	PROPN
eajbcs-1073	448	27	∈	∈	PROPN
eajbcs-1073	448	28	(	(	PUNCT
eajbcs-1073	448	29	0.35	0.35	NUM
eajbcs-1073	448	30	,	,	PUNCT
eajbcs-1073	448	31	0.85	0.85	NUM
eajbcs-1073	448	32	)	)	PUNCT
eajbcs-1073	448	33	and	and	CCONJ
eajbcs-1073	448	34	w−	w−	PROPN
eajbcs-1073	448	35	1	1	NUM
eajbcs-1073	448	36	,	,	PUNCT
eajbcs-1073	448	37	w	w	PROPN
eajbcs-1073	448	38	−	−	PROPN
eajbcs-1073	448	39	2	2	NUM
eajbcs-1073	448	40	≥	≥	NOUN
eajbcs-1073	448	41	0	0	NUM
eajbcs-1073	448	42	with	with	ADP
eajbcs-1073	448	43	w−	w−	PROPN
eajbcs-1073	448	44	1	1	NUM
eajbcs-1073	449	1	+	+	NUM
eajbcs-1073	449	2	w−	w−	NOUN
eajbcs-1073	449	3	2	2	NUM
eajbcs-1073	449	4	=	=	SYM
eajbcs-1073	449	5	1	1	NUM
eajbcs-1073	449	6	,	,	PUNCT
eajbcs-1073	449	7	the	the	DET
eajbcs-1073	449	8	comparative	comparative	ADJ
eajbcs-1073	449	9	work	work	NOUN
eajbcs-1073	449	10	of	of	ADP
eajbcs-1073	449	11	the	the	DET
eajbcs-1073	449	12	resulted	result	VERB
eajbcs-1073	449	13	efficient	efficient	ADJ
eajbcs-1073	449	14	solution	solution	NOUN
eajbcs-1073	449	15	is	be	AUX
eajbcs-1073	449	16	given	give	VERB
eajbcs-1073	449	17	in	in	ADP
eajbcs-1073	449	18	table	table	NOUN
eajbcs-1073	449	19	1	1	NUM
eajbcs-1073	449	20	.	.	PUNCT
eajbcs-1073	450	1	let	let	VERB
eajbcs-1073	450	2	the	the	DET
eajbcs-1073	450	3	optimal	optimal	ADJ
eajbcs-1073	450	4	or	or	CCONJ
eajbcs-1073	450	5	objective	objective	ADJ
eajbcs-1073	450	6	value	value	NOUN
eajbcs-1073	450	7	of	of	ADP
eajbcs-1073	450	8	model	model	NOUN
eajbcs-1073	450	9	i	i	X
eajbcs-1073	450	10	(	(	PUNCT
eajbcs-1073	450	11	21	21	NUM
eajbcs-1073	450	12	)	)	PUNCT
eajbcs-1073	450	13	and	and	CCONJ
eajbcs-1073	450	14	model	model	PROPN
eajbcs-1073	450	15	ii	ii	PROPN
eajbcs-1073	450	16	(	(	PUNCT
eajbcs-1073	450	17	22	22	NUM
eajbcs-1073	450	18	)	)	PUNCT
eajbcs-1073	450	19	be	be	AUX
eajbcs-1073	450	20	presented	present	VERB
eajbcs-1073	450	21	by	by	ADP
eajbcs-1073	450	22	fval	fval	NOUN
eajbcs-1073	450	23	.	.	PUNCT
eajbcs-1073	451	1	as	as	SCONJ
eajbcs-1073	451	2	shown	show	VERB
eajbcs-1073	451	3	in	in	ADP
eajbcs-1073	451	4	table	table	NOUN
eajbcs-1073	451	5	1	1	NUM
eajbcs-1073	451	6	,	,	PUNCT
eajbcs-1073	451	7	when	when	SCONJ
eajbcs-1073	451	8	the	the	DET
eajbcs-1073	451	9	value	value	NOUN
eajbcs-1073	451	10	of	of	ADP
eajbcs-1073	451	11	w−	w−	PROPN
eajbcs-1073	451	12	2	2	NUM
eajbcs-1073	451	13	(	(	PUNCT
eajbcs-1073	451	14	relative	relative	ADJ
eajbcs-1073	451	15	-	-	PUNCT
eajbcs-1073	451	16	weight	weight	NOUN
eajbcs-1073	451	17	of	of	ADP
eajbcs-1073	451	18	f2(x	f2(x	NOUN
eajbcs-1073	451	19	)	)	PUNCT
eajbcs-1073	451	20	)	)	PUNCT
eajbcs-1073	451	21	increases	increase	NOUN
eajbcs-1073	451	22	and	and	CCONJ
eajbcs-1073	451	23	the	the	DET
eajbcs-1073	451	24	value	value	NOUN
eajbcs-1073	451	25	of	of	ADP
eajbcs-1073	451	26	δ	δ	PROPN
eajbcs-1073	451	27	(	(	PUNCT
eajbcs-1073	451	28	degree	degree	NOUN
eajbcs-1073	451	29	of	of	ADP
eajbcs-1073	451	30	compensation	compensation	NOUN
eajbcs-1073	451	31	)	)	PUNCT
eajbcs-1073	451	32	,	,	PUNCT
eajbcs-1073	451	33	w−	w−	NOUN
eajbcs-1073	451	34	1	1	NUM
eajbcs-1073	451	35	(	(	PUNCT
eajbcs-1073	451	36	relative	relative	ADJ
eajbcs-1073	451	37	-	-	PUNCT
eajbcs-1073	451	38	weight	weight	NOUN
eajbcs-1073	451	39	of	of	ADP
eajbcs-1073	451	40	f1(x	f1(x	NOUN
eajbcs-1073	451	41	)	)	PUNCT
eajbcs-1073	451	42	)	)	PUNCT
eajbcs-1073	451	43	decreases	decrease	VERB
eajbcs-1073	451	44	,	,	PUNCT
eajbcs-1073	451	45	the	the	DET
eajbcs-1073	451	46	preferable	preferable	ADJ
eajbcs-1073	451	47	optimal	optimal	ADJ
eajbcs-1073	451	48	value	value	NOUN
eajbcs-1073	451	49	fval	fval	NOUN
eajbcs-1073	451	50	is	be	AUX
eajbcs-1073	451	51	obtained	obtain	VERB
eajbcs-1073	451	52	.	.	PUNCT
eajbcs-1073	452	1	thus	thus	ADV
eajbcs-1073	452	2	,	,	PUNCT
eajbcs-1073	452	3	the	the	DET
eajbcs-1073	452	4	optimal	optimal	ADJ
eajbcs-1073	452	5	solution	solution	NOUN
eajbcs-1073	452	6	of	of	ADP
eajbcs-1073	452	7	both	both	DET
eajbcs-1073	452	8	model	model	NOUN
eajbcs-1073	452	9	i	i	PRON
eajbcs-1073	452	10	(	(	PUNCT
eajbcs-1073	452	11	21	21	NUM
eajbcs-1073	452	12	)	)	PUNCT
eajbcs-1073	452	13	and	and	CCONJ
eajbcs-1073	452	14	model	model	PROPN
eajbcs-1073	452	15	ii	ii	PROPN
eajbcs-1073	452	16	(	(	PUNCT
eajbcs-1073	452	17	22	22	NUM
eajbcs-1073	452	18	)	)	PUNCT
eajbcs-1073	452	19	is	be	AUX
eajbcs-1073	452	20	identical	identical	ADJ
eajbcs-1073	452	21	,	,	PUNCT
eajbcs-1073	452	22	i.e.	i.e.	X
eajbcs-1073	452	23	,	,	PUNCT
eajbcs-1073	452	24	x1	x1	PROPN
eajbcs-1073	452	25	=	=	SYM
eajbcs-1073	453	1	6,x2	6,x2	NUM
eajbcs-1073	453	2	=	=	SYM
eajbcs-1073	453	3	7	7	NUM
eajbcs-1073	453	4	,	,	PUNCT
eajbcs-1073	453	5	fval	fval	NOUN
eajbcs-1073	453	6	=	=	SYM
eajbcs-1073	453	7	1.1311	1.1311	NUM
eajbcs-1073	453	8	,	,	PUNCT
eajbcs-1073	453	9	which	which	PRON
eajbcs-1073	453	10	is	be	AUX
eajbcs-1073	453	11	the	the	DET
eajbcs-1073	453	12	candidate	candidate	NOUN
eajbcs-1073	453	13	pareto	pareto	VERB
eajbcs-1073	453	14	-	-	PUNCT
eajbcs-1073	453	15	optimal	optimal	ADJ
eajbcs-1073	453	16	solution	solution	NOUN
eajbcs-1073	453	17	of	of	ADP
eajbcs-1073	453	18	if	if	SCONJ
eajbcs-1073	453	19	-	-	PUNCT
eajbcs-1073	453	20	moldmp	moldmp	NOUN
eajbcs-1073	453	21	(	(	PUNCT
eajbcs-1073	453	22	20	20	NUM
eajbcs-1073	453	23	)	)	PUNCT
eajbcs-1073	453	24	.	.	PUNCT
eajbcs-1073	454	1	now	now	ADV
eajbcs-1073	454	2	to	to	PART
eajbcs-1073	454	3	test	test	VERB
eajbcs-1073	454	4	the	the	DET
eajbcs-1073	454	5	pareto	pareto	NOUN
eajbcs-1073	454	6	-	-	PUNCT
eajbcs-1073	454	7	optimality	optimality	NOUN
eajbcs-1073	454	8	,	,	PUNCT
eajbcs-1073	454	9	we	we	PRON
eajbcs-1073	454	10	need	need	VERB
eajbcs-1073	454	11	to	to	PART
eajbcs-1073	454	12	formulate	formulate	VERB
eajbcs-1073	454	13	the	the	DET
eajbcs-1073	454	14	following	follow	VERB
eajbcs-1073	454	15	single	single	ADJ
eajbcs-1073	454	16	-	-	PUNCT
eajbcs-1073	454	17	objective	objective	ADJ
eajbcs-1073	454	18	problem	problem	NOUN
eajbcs-1073	454	19	(	(	PUNCT
eajbcs-1073	454	20	23	23	NUM
eajbcs-1073	454	21	)	)	PUNCT
eajbcs-1073	454	22	based	base	VERB
eajbcs-1073	454	23	on	on	ADP
eajbcs-1073	454	24	eqs	eqs	PROPN
eajbcs-1073	454	25	.	.	PUNCT
eajbcs-1073	455	1	(	(	PUNCT
eajbcs-1073	455	2	17	17	NUM
eajbcs-1073	455	3	)	)	PUNCT
eajbcs-1073	455	4	and	and	CCONJ
eajbcs-1073	455	5	solve	solve	VERB
eajbcs-1073	455	6	it	it	PRON
eajbcs-1073	455	7	:	:	PUNCT
eajbcs-1073	455	8	max	max	PROPN
eajbcs-1073	455	9	γ1	γ1	PROPN
eajbcs-1073	455	10	+	+	CCONJ
eajbcs-1073	455	11	γ2	γ2	PROPN
eajbcs-1073	455	12	subject	subject	NOUN
eajbcs-1073	455	13	to	to	ADP
eajbcs-1073	455	14	:	:	PUNCT
eajbcs-1073	455	15			NUM
eajbcs-1073	455	16	−0.0286x1	−0.0286x1	PROPN
eajbcs-1073	456	1	+	+	CCONJ
eajbcs-1073	456	2	0.057x2	0.057x2	VERB
eajbcs-1073	456	3	−	−	NOUN
eajbcs-1073	456	4	0.59q11	0.59q11	NOUN
eajbcs-1073	457	1	−	−	NOUN
eajbcs-1073	457	2	0.0514q21	0.0514q21	NOUN
eajbcs-1073	457	3	−	−	PROPN
eajbcs-1073	457	4	γ1	γ1	PROPN
eajbcs-1073	457	5	≥	≥	VERB
eajbcs-1073	457	6	0.2274	0.2274	NUM
eajbcs-1073	457	7	0.074x1	0.074x1	NOUN
eajbcs-1073	457	8	+	+	CCONJ
eajbcs-1073	457	9	0.037x2	0.037x2	NUM
eajbcs-1073	457	10	−	−	NOUN
eajbcs-1073	457	11	0.033q12	0.033q12	NUM
eajbcs-1073	457	12	−	−	PROPN
eajbcs-1073	457	13	0.048q22	0.048q22	NOUN
eajbcs-1073	457	14	−	−	NOUN
eajbcs-1073	457	15	γ2	γ2	PROPN
eajbcs-1073	457	16	≥	≥	NUM
eajbcs-1073	457	17	0.703	0.703	NUM
eajbcs-1073	457	18	x1	x1	NOUN
eajbcs-1073	457	19	−	−	PROPN
eajbcs-1073	457	20	2x2	2x2	NUM
eajbcs-1073	457	21	−	−	NOUN
eajbcs-1073	457	22	q11	q11	NOUN
eajbcs-1073	457	23	≤	≤	NOUN
eajbcs-1073	457	24	3	3	NUM
eajbcs-1073	457	25	,	,	PUNCT
eajbcs-1073	457	26	x1	x1	PROPN
eajbcs-1073	457	27	−	−	PROPN
eajbcs-1073	458	1	2x2	2x2	NUM
eajbcs-1073	458	2	−	−	PROPN
eajbcs-1073	458	3	q21	q21	NOUN
eajbcs-1073	458	4	≤	≤	PUNCT
eajbcs-1073	458	5	−7	−7	NOUN
eajbcs-1073	458	6	−2x1	−2x1	NUM
eajbcs-1073	458	7	−	−	PUNCT
eajbcs-1073	458	8	x2	x2	INTJ
eajbcs-1073	458	9	−	−	PROPN
eajbcs-1073	458	10	q12	q12	NOUN
eajbcs-1073	458	11	≤	≤	PUNCT
eajbcs-1073	458	12	−7	−7	PROPN
eajbcs-1073	458	13	,	,	PUNCT
eajbcs-1073	458	14	−2x1	−2x1	NUM
eajbcs-1073	458	15	−	−	NOUN
eajbcs-1073	458	16	x2	x2	INTJ
eajbcs-1073	458	17	−	−	PROPN
eajbcs-1073	458	18	q22	q22	NOUN
eajbcs-1073	458	19	≤	≤	NUM
eajbcs-1073	458	20	−17	−17	NOUN
eajbcs-1073	458	21	−x1	−x1	NOUN
eajbcs-1073	458	22	+	+	CCONJ
eajbcs-1073	458	23	3x2	3x2	NUM
eajbcs-1073	458	24	≤	≤	NUM
eajbcs-1073	458	25	21	21	NUM
eajbcs-1073	458	26	,	,	PUNCT
eajbcs-1073	458	27	4x1	4x1	NUM
eajbcs-1073	458	28	+	+	CCONJ
eajbcs-1073	458	29	3x2	3x2	NUM
eajbcs-1073	458	30	≤	≤	NUM
eajbcs-1073	458	31	45	45	NUM
eajbcs-1073	458	32	,	,	PUNCT
eajbcs-1073	458	33	x1	x1	PROPN
eajbcs-1073	458	34	+	+	PUNCT
eajbcs-1073	458	35	3x2	3x2	NUM
eajbcs-1073	458	36	≤	≤	NUM
eajbcs-1073	458	37	27	27	NUM
eajbcs-1073	458	38	,	,	PUNCT
eajbcs-1073	458	39	3x1	3x1	NUM
eajbcs-1073	458	40	+	+	CCONJ
eajbcs-1073	458	41	x2	x2	PROPN
eajbcs-1073	458	42	≤	≤	NUM
eajbcs-1073	458	43	30	30	NUM
eajbcs-1073	458	44	x1	x1	PROPN
eajbcs-1073	458	45	,	,	PUNCT
eajbcs-1073	458	46	x2	x2	PROPN
eajbcs-1073	458	47	,	,	PUNCT
eajbcs-1073	458	48	γ1	γ1	PROPN
eajbcs-1073	458	49	,	,	PUNCT
eajbcs-1073	458	50	γ2	γ2	PROPN
eajbcs-1073	458	51	≥	≥	NUM
eajbcs-1073	458	52	0	0	NUM
eajbcs-1073	458	53			NUM
eajbcs-1073	458	54	(	(	PUNCT
eajbcs-1073	458	55	23	23	NUM
eajbcs-1073	458	56	)	)	PUNCT
eajbcs-1073	458	57	when	when	SCONJ
eajbcs-1073	458	58	the	the	DET
eajbcs-1073	458	59	model	model	NOUN
eajbcs-1073	458	60	above	above	ADV
eajbcs-1073	458	61	(	(	PUNCT
eajbcs-1073	458	62	23	23	NUM
eajbcs-1073	458	63	)	)	PUNCT
eajbcs-1073	458	64	is	be	AUX
eajbcs-1073	458	65	solved	solve	VERB
eajbcs-1073	458	66	using	use	VERB
eajbcs-1073	458	67	the	the	DET
eajbcs-1073	458	68	matlab	matlab	PROPN
eajbcs-1073	458	69	-	-	PUNCT
eajbcs-1073	458	70	r2023	r2023	NOUN
eajbcs-1073	458	71	program	program	NOUN
eajbcs-1073	458	72	,	,	PUNCT
eajbcs-1073	458	73	γ1	γ1	NOUN
eajbcs-1073	458	74	=	=	SYM
eajbcs-1073	458	75	γ2	γ2	PROPN
eajbcs-1073	458	76	=	=	SYM
eajbcs-1073	458	77	0	0	NUM
eajbcs-1073	458	78	is	be	AUX
eajbcs-1073	458	79	the	the	DET
eajbcs-1073	458	80	outcome	outcome	NOUN
eajbcs-1073	458	81	.	.	PUNCT
eajbcs-1073	459	1	this	this	PRON
eajbcs-1073	459	2	suggests	suggest	VERB
eajbcs-1073	459	3	that	that	SCONJ
eajbcs-1073	459	4	the	the	DET
eajbcs-1073	459	5	pareto	pareto	VERB
eajbcs-1073	459	6	-	-	PUNCT
eajbcs-1073	459	7	optimal	optimal	ADJ
eajbcs-1073	459	8	solution	solution	NOUN
eajbcs-1073	459	9	to	to	ADP
eajbcs-1073	459	10	if	if	SCONJ
eajbcs-1073	459	11	-	-	PUNCT
eajbcs-1073	459	12	moldmp	moldmp	NOUN
eajbcs-1073	459	13	(	(	PUNCT
eajbcs-1073	459	14	20	20	NUM
eajbcs-1073	459	15	)	)	PUNCT
eajbcs-1073	459	16	is	be	AUX
eajbcs-1073	459	17	provided	provide	VERB
eajbcs-1073	459	18	by	by	ADP
eajbcs-1073	459	19	the	the	DET
eajbcs-1073	459	20	found	find	VERB
eajbcs-1073	459	21	solutions	solution	NOUN
eajbcs-1073	460	1	x1	x1	NOUN
eajbcs-1073	460	2	=	=	SYM
eajbcs-1073	461	1	6,x2	6,x2	NUM
eajbcs-1073	461	2	=	=	SYM
eajbcs-1073	461	3	7	7	X
eajbcs-1073	461	4	.	.	PUNCT
eajbcs-1073	462	1	the	the	DET
eajbcs-1073	462	2	suggested	suggest	VERB
eajbcs-1073	462	3	method	method	NOUN
eajbcs-1073	462	4	,	,	PUNCT
eajbcs-1073	462	5	however	however	ADV
eajbcs-1073	462	6	,	,	PUNCT
eajbcs-1073	462	7	allows	allow	VERB
eajbcs-1073	462	8	decision	decision	NOUN
eajbcs-1073	462	9	-	-	PUNCT
eajbcs-1073	462	10	makers	maker	NOUN
eajbcs-1073	462	11	to	to	PART
eajbcs-1073	462	12	select	select	VERB
eajbcs-1073	462	13	the	the	DET
eajbcs-1073	462	14	goal	goal	NOUN
eajbcs-1073	462	15	that	that	PRON
eajbcs-1073	462	16	must	must	AUX
eajbcs-1073	462	17	be	be	AUX
eajbcs-1073	462	18	accomplished	accomplish	VERB
eajbcs-1073	462	19	first	first	ADV
eajbcs-1073	462	20	in	in	ADP
eajbcs-1073	462	21	order	order	NOUN
eajbcs-1073	462	22	of	of	ADP
eajbcs-1073	462	23	importance	importance	NOUN
eajbcs-1073	462	24	.	.	PUNCT
eajbcs-1073	463	1	for	for	ADP
eajbcs-1073	463	2	instance	instance	NOUN
eajbcs-1073	463	3	,	,	PUNCT
eajbcs-1073	463	4	as	as	ADP
eajbcs-1073	463	5	δ	δ	PROPN
eajbcs-1073	463	6	↗	↗	PROPN
eajbcs-1073	463	7	(	(	PUNCT
eajbcs-1073	463	8	increases	increase	NOUN
eajbcs-1073	463	9	)	)	PUNCT
eajbcs-1073	463	10	,	,	PUNCT
eajbcs-1073	463	11	the	the	DET
eajbcs-1073	463	12	value	value	NOUN
eajbcs-1073	463	13	of	of	ADP
eajbcs-1073	463	14	f1(x	f1(x	NOUN
eajbcs-1073	463	15	)	)	PUNCT
eajbcs-1073	463	16	↗	↗	PROPN
eajbcs-1073	463	17	and	and	CCONJ
eajbcs-1073	463	18	the	the	DET
eajbcs-1073	463	19	value	value	NOUN
eajbcs-1073	463	20	of	of	ADP
eajbcs-1073	463	21	f2(x	f2(x	PROPN
eajbcs-1073	463	22	)	)	PUNCT
eajbcs-1073	463	23	↘	↘	PROPN
eajbcs-1073	463	24	(	(	PUNCT
eajbcs-1073	463	25	decreases	decrease	NOUN
eajbcs-1073	463	26	)	)	PUNCT
eajbcs-1073	463	27	,	,	PUNCT
eajbcs-1073	463	28	etc	etc	X
eajbcs-1073	463	29	.	.	X
eajbcs-1073	463	30	8	8	X
eajbcs-1073	463	31	.	.	PUNCT
eajbcs-1073	463	32	conclusion	conclusion	NOUN
eajbcs-1073	463	33	in	in	ADP
eajbcs-1073	463	34	this	this	DET
eajbcs-1073	463	35	paper	paper	NOUN
eajbcs-1073	463	36	,	,	PUNCT
eajbcs-1073	463	37	the	the	DET
eajbcs-1073	463	38	penalized	penalize	VERB
eajbcs-1073	463	39	intuitionistic	intuitionistic	ADJ
eajbcs-1073	463	40	fuzzy	fuzzy	ADJ
eajbcs-1073	463	41	goal	goal	NOUN
eajbcs-1073	463	42	programming	programming	NOUN
eajbcs-1073	463	43	strategy	strategy	NOUN
eajbcs-1073	463	44	has	have	AUX
eajbcs-1073	463	45	been	be	AUX
eajbcs-1073	463	46	proposed	propose	VERB
eajbcs-1073	463	47	for	for	ADP
eajbcs-1073	463	48	finding	find	VERB
eajbcs-1073	463	49	pareto	pareto	VERB
eajbcs-1073	463	50	-	-	PUNCT
eajbcs-1073	463	51	optimal	optimal	ADJ
eajbcs-1073	463	52	solutions	solution	NOUN
eajbcs-1073	463	53	to	to	ADP
eajbcs-1073	463	54	the	the	DET
eajbcs-1073	463	55	if	if	NOUN
eajbcs-1073	463	56	-	-	PUNCT
eajbcs-1073	463	57	moldmp	moldmp	NOUN
eajbcs-1073	463	58	in	in	ADP
eajbcs-1073	463	59	an	an	DET
eajbcs-1073	463	60	intuitionistic	intuitionistic	ADJ
eajbcs-1073	463	61	fuzzy	fuzzy	ADJ
eajbcs-1073	463	62	decision	decision	NOUN
eajbcs-1073	463	63	environment	environment	NOUN
eajbcs-1073	463	64	.	.	PUNCT
eajbcs-1073	464	1	when	when	SCONJ
eajbcs-1073	464	2	applied	apply	VERB
eajbcs-1073	464	3	to	to	ADP
eajbcs-1073	464	4	optimization	optimization	NOUN
eajbcs-1073	464	5	problems	problem	NOUN
eajbcs-1073	464	6	in	in	ADP
eajbcs-1073	464	7	an	an	DET
eajbcs-1073	464	8	imprecise	imprecise	ADJ
eajbcs-1073	464	9	environment	environment	NOUN
eajbcs-1073	464	10	,	,	PUNCT
eajbcs-1073	464	11	the	the	DET
eajbcs-1073	464	12	ifo	ifo	ADJ
eajbcs-1073	464	13	methodology	methodology	NOUN
eajbcs-1073	464	14	is	be	AUX
eajbcs-1073	464	15	among	among	ADP
eajbcs-1073	464	16	the	the	DET
eajbcs-1073	464	17	most	most	ADV
eajbcs-1073	464	18	effective	effective	ADJ
eajbcs-1073	464	19	methods	method	NOUN
eajbcs-1073	464	20	available	available	ADJ
eajbcs-1073	464	21	,	,	PUNCT
eajbcs-1073	464	22	yielding	yield	VERB
eajbcs-1073	464	23	more	more	ADJ
eajbcs-1073	464	24	satisfactory	satisfactory	ADJ
eajbcs-1073	464	25	outcomes	outcome	NOUN
eajbcs-1073	464	26	than	than	ADP
eajbcs-1073	464	27	fuzzy	fuzzy	ADJ
eajbcs-1073	464	28	and	and	CCONJ
eajbcs-1073	464	29	classical	classical	ADJ
eajbcs-1073	464	30	optimizations	optimization	NOUN
eajbcs-1073	464	31	.	.	PUNCT
eajbcs-1073	465	1	the	the	DET
eajbcs-1073	465	2	significant	significant	ADJ
eajbcs-1073	465	3	contribution	contribution	NOUN
eajbcs-1073	465	4	of	of	ADP
eajbcs-1073	465	5	the	the	DET
eajbcs-1073	465	6	proposed	propose	VERB
eajbcs-1073	465	7	method	method	NOUN
eajbcs-1073	465	8	is	be	AUX
eajbcs-1073	465	9	the	the	DET
eajbcs-1073	465	10	development	development	NOUN
eajbcs-1073	465	11	of	of	ADP
eajbcs-1073	465	12	an	an	DET
eajbcs-1073	465	13	extended	extended	ADJ
eajbcs-1073	465	14	intuitionistic	intuitionistic	ADJ
eajbcs-1073	465	15	fuzzy	fuzzy	ADJ
eajbcs-1073	465	16	interactive	interactive	ADJ
eajbcs-1073	465	17	technique	technique	NOUN
eajbcs-1073	465	18	to	to	PART
eajbcs-1073	465	19	determine	determine	VERB
eajbcs-1073	465	20	the	the	DET
eajbcs-1073	465	21	most	most	ADV
eajbcs-1073	465	22	preferred	preferred	ADJ
eajbcs-1073	465	23	pareto	pareto	NOUN
eajbcs-1073	465	24	-	-	PUNCT
eajbcs-1073	465	25	optimal	optimal	ADJ
eajbcs-1073	465	26	for	for	ADP
eajbcs-1073	465	27	if	if	ADV
eajbcs-1073	465	28	-	-	PUNCT
eajbcs-1073	465	29	moldmp	moldmp	NOUN
eajbcs-1073	465	30	in	in	ADP
eajbcs-1073	465	31	an	an	DET
eajbcs-1073	465	32	intuitionistic	intuitionistic	ADJ
eajbcs-1073	465	33	fuzzy	fuzzy	ADJ
eajbcs-1073	465	34	environment	environment	NOUN
eajbcs-1073	465	35	.	.	PUNCT
eajbcs-1073	466	1	this	this	DET
eajbcs-1073	466	2	technique	technique	NOUN
eajbcs-1073	466	3	combines	combine	VERB
eajbcs-1073	466	4	the	the	DET
eajbcs-1073	466	5	penalty	penalty	NOUN
eajbcs-1073	466	6	function	function	NOUN
eajbcs-1073	466	7	method	method	NOUN
eajbcs-1073	466	8	with	with	ADP
eajbcs-1073	466	9	an	an	DET
eajbcs-1073	466	10	appropriate	appropriate	ADJ
eajbcs-1073	466	11	intuitionistic	intuitionistic	ADJ
eajbcs-1073	466	12	fuzzy	fuzzy	ADJ
eajbcs-1073	466	13	aggregation	aggregation	NOUN
eajbcs-1073	466	14	operator	operator	NOUN
eajbcs-1073	466	15	.	.	PUNCT
eajbcs-1073	467	1	when	when	SCONJ
eajbcs-1073	467	2	compared	compare	VERB
eajbcs-1073	467	3	to	to	ADP
eajbcs-1073	467	4	the	the	DET
eajbcs-1073	467	5	existing	exist	VERB
eajbcs-1073	467	6	ifo	ifo	NOUN
eajbcs-1073	467	7	method	method	NOUN
eajbcs-1073	467	8	,	,	PUNCT
eajbcs-1073	467	9	the	the	DET
eajbcs-1073	467	10	proposed	propose	VERB
eajbcs-1073	467	11	method	method	NOUN
eajbcs-1073	467	12	can	can	AUX
eajbcs-1073	467	13	choose	choose	VERB
eajbcs-1073	467	14	from	from	ADP
eajbcs-1073	467	15	a	a	DET
eajbcs-1073	467	16	set	set	NOUN
eajbcs-1073	467	17	of	of	ADP
eajbcs-1073	467	18	compromise	compromise	NOUN
eajbcs-1073	467	19	solutions	solution	NOUN
eajbcs-1073	467	20	that	that	PRON
eajbcs-1073	467	21	are	be	AUX
eajbcs-1073	467	22	both	both	ADV
eajbcs-1073	467	23	efficient	efficient	ADJ
eajbcs-1073	467	24	and	and	CCONJ
eajbcs-1073	467	25	meet	meet	VERB
eajbcs-1073	467	26	the	the	DET
eajbcs-1073	467	27	dm	dm	NOUN
eajbcs-1073	467	28	’s	’s	PART
eajbcs-1073	467	29	preference	preference	NOUN
eajbcs-1073	467	30	for	for	ADP
eajbcs-1073	467	31	ifmoldmp	ifmoldmp	NOUN
eajbcs-1073	467	32	.	.	PUNCT
eajbcs-1073	468	1	furthermore	furthermore	ADV
eajbcs-1073	468	2	,	,	PUNCT
eajbcs-1073	468	3	the	the	DET
eajbcs-1073	468	4	advantages	advantage	NOUN
eajbcs-1073	468	5	of	of	ADP
eajbcs-1073	468	6	the	the	DET
eajbcs-1073	468	7	proposed	propose	VERB
eajbcs-1073	468	8	method	method	NOUN
eajbcs-1073	468	9	are	be	AUX
eajbcs-1073	468	10	that	that	SCONJ
eajbcs-1073	468	11	there	there	PRON
eajbcs-1073	468	12	is	be	VERB
eajbcs-1073	468	13	no	no	DET
eajbcs-1073	468	14	need	need	NOUN
eajbcs-1073	468	15	to	to	PART
eajbcs-1073	468	16	add	add	VERB
eajbcs-1073	468	17	an	an	DET
eajbcs-1073	468	18	extra	extra	ADJ
eajbcs-1073	468	19	zero	zero	NUM
eajbcs-1073	468	20	-	-	PUNCT
eajbcs-1073	468	21	one	one	NUM
eajbcs-1073	468	22	variable	variable	NOUN
eajbcs-1073	468	23	,	,	PUNCT
eajbcs-1073	468	24	it	it	PRON
eajbcs-1073	468	25	eliminates	eliminate	VERB
eajbcs-1073	468	26	the	the	DET
eajbcs-1073	468	27	limitation	limitation	NOUN
eajbcs-1073	468	28	of	of	ADP
eajbcs-1073	468	29	overestimation	overestimation	NOUN
eajbcs-1073	468	30	or	or	CCONJ
eajbcs-1073	468	31	underestimation	underestimation	NOUN
eajbcs-1073	468	32	of	of	ADP
eajbcs-1073	468	33	the	the	DET
eajbcs-1073	468	34	nadir	nadir	NOUN
eajbcs-1073	468	35	point	point	NOUN
eajbcs-1073	468	36	when	when	SCONJ
eajbcs-1073	468	37	establishing	establish	VERB
eajbcs-1073	468	38	a	a	DET
eajbcs-1073	468	39	reference	reference	NOUN
eajbcs-1073	468	40	point	point	NOUN
eajbcs-1073	468	41	for	for	ADP
eajbcs-1073	468	42	decision	decision	NOUN
eajbcs-1073	468	43	-	-	PUNCT
eajbcs-1073	468	44	makers	maker	NOUN
eajbcs-1073	468	45	,	,	PUNCT
eajbcs-1073	468	46	and	and	CCONJ
eajbcs-1073	468	47	it	it	PRON
eajbcs-1073	468	48	guarantees	guarantee	VERB
eajbcs-1073	468	49	that	that	SCONJ
eajbcs-1073	468	50	the	the	DET
eajbcs-1073	468	51	existing	exist	VERB
eajbcs-1073	468	52	solution	solution	NOUN
eajbcs-1073	468	53	x∗	x∗	PROPN
eajbcs-1073	468	54	satisfies	satisfy	VERB
eajbcs-1073	468	55	the	the	DET
eajbcs-1073	468	56	pareto	pareto	NOUN
eajbcs-1073	468	57	-	-	PUNCT
eajbcs-1073	468	58	optimally	optimally	ADV
eajbcs-1073	468	59	condition	condition	NOUN
eajbcs-1073	468	60	.	.	PUNCT
eajbcs-1073	469	1	a	a	DET
eajbcs-1073	469	2	future	future	ADJ
eajbcs-1073	469	3	study	study	NOUN
eajbcs-1073	469	4	could	could	AUX
eajbcs-1073	469	5	focus	focus	VERB
eajbcs-1073	469	6	on	on	ADP
eajbcs-1073	469	7	applying	apply	VERB
eajbcs-1073	469	8	the	the	DET
eajbcs-1073	469	9	proposed	propose	VERB
eajbcs-1073	469	10	solution	solution	NOUN
eajbcs-1073	469	11	method	method	NOUN
eajbcs-1073	469	12	to	to	ADP
eajbcs-1073	469	13	different	different	ADJ
eajbcs-1073	469	14	real	real	ADJ
eajbcs-1073	469	15	-	-	PUNCT
eajbcs-1073	469	16	world	world	NOUN
eajbcs-1073	469	17	application	application	NOUN
eajbcs-1073	469	18	problems	problem	NOUN
eajbcs-1073	469	19	,	,	PUNCT
eajbcs-1073	469	20	such	such	ADJ
eajbcs-1073	469	21	as	as	ADP
eajbcs-1073	469	22	water	water	NOUN
eajbcs-1073	469	23	resource	resource	NOUN
eajbcs-1073	469	24	allocation	allocation	NOUN
eajbcs-1073	469	25	and	and	CCONJ
eajbcs-1073	469	26	inventory	inventory	NOUN
eajbcs-1073	469	27	control	control	NOUN
eajbcs-1073	469	28	problems	problem	NOUN
eajbcs-1073	469	29	,	,	PUNCT
eajbcs-1073	469	30	and	and	CCONJ
eajbcs-1073	469	31	comparing	compare	VERB
eajbcs-1073	469	32	the	the	DET
eajbcs-1073	469	33	outcomes	outcome	NOUN
eajbcs-1073	469	34	to	to	ADP
eajbcs-1073	469	35	existing	exist	VERB
eajbcs-1073	469	36	optimization	optimization	NOUN
eajbcs-1073	469	37	methods	method	NOUN
eajbcs-1073	469	38	.	.	PUNCT
eajbcs-1073	470	1	east	east	PROPN
eajbcs-1073	470	2	afr	afr	PROPN
eajbcs-1073	470	3	.	.	PUNCT
eajbcs-1073	471	1	j.	j.	PROPN
eajbcs-1073	471	2	biophys	biophys	PROPN
eajbcs-1073	471	3	.	.	PUNCT
eajbcs-1073	472	1	comput	comput	NOUN
eajbcs-1073	472	2	.	.	PUNCT
eajbcs-1073	473	1	sci	sci	PROPN
eajbcs-1073	473	2	.	.	PUNCT
eajbcs-1073	474	1	(	(	PUNCT
eajbcs-1073	474	2	2024	2024	NUM
eajbcs-1073	474	3	)	)	PUNCT
eajbcs-1073	474	4	,	,	PUNCT
eajbcs-1073	474	5	vol	vol	NOUN
eajbcs-1073	474	6	.	.	PROPN
eajbcs-1073	474	7	5	5	NUM
eajbcs-1073	474	8	,	,	PUNCT
eajbcs-1073	474	9	no	no	INTJ
eajbcs-1073	474	10	.	.	NOUN
eajbcs-1073	474	11	2	2	NUM
eajbcs-1073	474	12	,	,	PUNCT
eajbcs-1073	474	13	41	41	NUM
eajbcs-1073	474	14	-	-	SYM
eajbcs-1073	474	15	57	57	NUM
eajbcs-1073	474	16	54	54	NUM
eajbcs-1073	474	17	acknowledgments	acknowledgment	NOUN
eajbcs-1073	474	18	all	all	DET
eajbcs-1073	474	19	authors	author	NOUN
eajbcs-1073	474	20	are	be	AUX
eajbcs-1073	474	21	grateful	grateful	ADJ
eajbcs-1073	474	22	to	to	ADP
eajbcs-1073	474	23	the	the	DET
eajbcs-1073	474	24	editor	editor	NOUN
eajbcs-1073	474	25	-	-	PUNCT
eajbcs-1073	474	26	inchief	inchief	ADJ
eajbcs-1073	474	27	and	and	CCONJ
eajbcs-1073	474	28	anonymous	anonymous	ADJ
eajbcs-1073	474	29	reviewers	reviewer	NOUN
eajbcs-1073	474	30	for	for	ADP
eajbcs-1073	474	31	providing	provide	VERB
eajbcs-1073	474	32	in	in	ADP
eajbcs-1073	474	33	depth	depth	NOUN
eajbcs-1073	474	34	comments	comment	NOUN
eajbcs-1073	474	35	and	and	CCONJ
eajbcs-1073	474	36	suggestions	suggestion	NOUN
eajbcs-1073	474	37	that	that	PRON
eajbcs-1073	474	38	enhanced	enhance	VERB
eajbcs-1073	474	39	the	the	DET
eajbcs-1073	474	40	clarity	clarity	NOUN
eajbcs-1073	474	41	and	and	CCONJ
eajbcs-1073	474	42	readability	readability	NOUN
eajbcs-1073	474	43	of	of	ADP
eajbcs-1073	474	44	the	the	DET
eajbcs-1073	474	45	manuscript	manuscript	NOUN
eajbcs-1073	474	46	.	.	PUNCT
eajbcs-1073	475	1	conflict	conflict	NOUN
eajbcs-1073	475	2	of	of	ADP
eajbcs-1073	475	3	interest	interest	NOUN
eajbcs-1073	475	4	on	on	ADP
eajbcs-1073	475	5	behalf	behalf	NOUN
eajbcs-1073	475	6	of	of	ADP
eajbcs-1073	475	7	all	all	DET
eajbcs-1073	475	8	authors	author	NOUN
eajbcs-1073	475	9	,	,	PUNCT
eajbcs-1073	475	10	the	the	DET
eajbcs-1073	475	11	corresponding	corresponding	ADJ
eajbcs-1073	475	12	author	author	NOUN
eajbcs-1073	475	13	state	state	NOUN
eajbcs-1073	475	14	there	there	PRON
eajbcs-1073	475	15	is	be	VERB
eajbcs-1073	475	16	no	no	DET
eajbcs-1073	475	17	conflict	conflict	NOUN
eajbcs-1073	475	18	of	of	ADP
eajbcs-1073	475	19	interest	interest	NOUN
eajbcs-1073	475	20	.	.	PUNCT
eajbcs-1073	476	1	funding	fund	VERB
eajbcs-1073	476	2	the	the	DET
eajbcs-1073	476	3	authors	author	NOUN
eajbcs-1073	476	4	did	do	AUX
eajbcs-1073	476	5	not	not	PART
eajbcs-1073	476	6	receive	receive	VERB
eajbcs-1073	476	7	any	any	DET
eajbcs-1073	476	8	funding	funding	NOUN
eajbcs-1073	476	9	for	for	ADP
eajbcs-1073	476	10	this	this	DET
eajbcs-1073	476	11	research	research	NOUN
eajbcs-1073	476	12	.	.	PUNCT
eajbcs-1073	477	1	references	reference	NOUN
eajbcs-1073	477	2	angelov	angelov	NOUN
eajbcs-1073	477	3	p.	p.	NOUN
eajbcs-1073	477	4	1995	1995	NUM
eajbcs-1073	477	5	.	.	PUNCT
eajbcs-1073	478	1	intuinistic	intuinistic	ADJ
eajbcs-1073	478	2	fuzzy	fuzzy	ADJ
eajbcs-1073	478	3	optimization	optimization	NOUN
eajbcs-1073	478	4	,	,	PUNCT
eajbcs-1073	478	5	center	center	NOUN
eajbcs-1073	478	6	of	of	ADP
eajbcs-1073	478	7	biomedical	biomedical	ADJ
eajbcs-1073	478	8	engineeringbulgarian	engineeringbulgarian	PROPN
eajbcs-1073	478	9	academy	academy	PROPN
eajbcs-1073	478	10	of	of	ADP
eajbcs-1073	478	11	sciences	sciences	PROPN
eajbcs-1073	478	12	.	.	PUNCT
eajbcs-1073	479	1	atanassov	atanassov	PROPN
eajbcs-1073	479	2	k.	k.	PROPN
eajbcs-1073	480	1	t.	t.	PROPN
eajbcs-1073	480	2	1986	1986	NUM
eajbcs-1073	480	3	.	.	PUNCT
eajbcs-1073	481	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	481	2	fuzzy	fuzzy	ADJ
eajbcs-1073	481	3	sets	set	NOUN
eajbcs-1073	481	4	,	,	PUNCT
eajbcs-1073	481	5	fuzzy	fuzzy	ADJ
eajbcs-1073	481	6	sets	set	NOUN
eajbcs-1073	481	7	and	and	CCONJ
eajbcs-1073	481	8	systems	system	NOUN
eajbcs-1073	481	9	,	,	PUNCT
eajbcs-1073	481	10	20	20	NUM
eajbcs-1073	481	11	,	,	PUNCT
eajbcs-1073	481	12	87	87	NUM
eajbcs-1073	481	13	-	-	SYM
eajbcs-1073	481	14	96	96	NUM
eajbcs-1073	481	15	.	.	PUNCT
eajbcs-1073	482	1	basumatary	basumatary	PROPN
eajbcs-1073	482	2	u.r	u.r	PROPN
eajbcs-1073	482	3	.	.	PROPN
eajbcs-1073	482	4	,	,	PUNCT
eajbcs-1073	482	5	miltra	miltra	PROPN
eajbcs-1073	482	6	d.k.2	d.k.2	NOUN
eajbcs-1073	482	7	022	022	PROPN
eajbcs-1073	482	8	.	.	PUNCT
eajbcs-1073	483	1	application	application	NOUN
eajbcs-1073	483	2	of	of	ADP
eajbcs-1073	483	3	intuitionistic	intuitionistic	ADJ
eajbcs-1073	483	4	fuzzy	fuzzy	ADJ
eajbcs-1073	483	5	optimization	optimization	NOUN
eajbcs-1073	483	6	techniques	technique	NOUN
eajbcs-1073	483	7	to	to	PART
eajbcs-1073	483	8	study	study	VERB
eajbcs-1073	483	9	multiobjective	multiobjective	ADJ
eajbcs-1073	483	10	linear	linear	ADJ
eajbcs-1073	483	11	programming	programming	NOUN
eajbcs-1073	483	12	in	in	ADP
eajbcs-1073	483	13	agricultural	agricultural	ADJ
eajbcs-1073	483	14	production	production	NOUN
eajbcs-1073	483	15	planning	planning	NOUN
eajbcs-1073	483	16	in	in	ADP
eajbcs-1073	483	17	baksa	baksa	ADJ
eajbcs-1073	483	18	district	district	PROPN
eajbcs-1073	483	19	,	,	PUNCT
eajbcs-1073	483	20	assam	assam	PROPN
eajbcs-1073	483	21	,	,	PUNCT
eajbcs-1073	483	22	india	india	PROPN
eajbcs-1073	483	23	,	,	PUNCT
eajbcs-1073	483	24	advances	advance	NOUN
eajbcs-1073	483	25	and	and	CCONJ
eajbcs-1073	483	26	applications	application	NOUN
eajbcs-1073	483	27	in	in	ADP
eajbcs-1073	483	28	mathematical	mathematical	ADJ
eajbcs-1073	483	29	sciences	science	NOUN
eajbcs-1073	483	30	,	,	PUNCT
eajbcs-1073	483	31	21	21	NUM
eajbcs-1073	483	32	(	(	PUNCT
eajbcs-1073	483	33	6	6	NUM
eajbcs-1073	483	34	)	)	PUNCT
eajbcs-1073	483	35	,	,	PUNCT
eajbcs-1073	483	36	3011	3011	NUM
eajbcs-1073	483	37	-	-	SYM
eajbcs-1073	483	38	3028	3028	NUM
eajbcs-1073	483	39	.	.	PUNCT
eajbcs-1073	484	1	bellman	bellman	PROPN
eajbcs-1073	484	2	r.	r.	PROPN
eajbcs-1073	484	3	e.	e.	PROPN
eajbcs-1073	484	4	,	,	PUNCT
eajbcs-1073	484	5	zadeh	zadeh	PROPN
eajbcs-1073	484	6	l.	l.	PROPN
eajbcs-1073	484	7	a.1970	a.1970	PROPN
eajbcs-1073	484	8	.	.	PUNCT
eajbcs-1073	485	1	decision	decision	NOUN
eajbcs-1073	485	2	making	make	VERB
eajbcs-1073	485	3	in	in	ADP
eajbcs-1073	485	4	fuzzy	fuzzy	ADJ
eajbcs-1073	485	5	environment	environment	NOUN
eajbcs-1073	485	6	,	,	PUNCT
eajbcs-1073	485	7	national	national	ADJ
eajbcs-1073	485	8	aeronautics	aeronautic	NOUN
eajbcs-1073	485	9	and	and	CCONJ
eajbcs-1073	485	10	space	space	NOUN
eajbcs-1073	485	11	administration	administration	PROPN
eajbcs-1073	485	12	,	,	PUNCT
eajbcs-1073	485	13	washington	washington	PROPN
eajbcs-1073	485	14	,	,	PUNCT
eajbcs-1073	485	15	d.	d.	PROPN
eajbcs-1073	485	16	c	c	AUX
eajbcs-1073	485	17	..	..	PUNCT
eajbcs-1073	485	18	bharati	bharati	PROPN
eajbcs-1073	485	19	s.	s.	PROPN
eajbcs-1073	485	20	k.	k.	PROPN
eajbcs-1073	485	21	,	,	PUNCT
eajbcs-1073	486	1	singh	singh	PROPN
eajbcs-1073	486	2	s.	s.	PROPN
eajbcs-1073	486	3	r.	r.	PROPN
eajbcs-1073	486	4	2014	2014	NUM
eajbcs-1073	486	5	.	.	PUNCT
eajbcs-1073	487	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	487	2	fuzzy	fuzzy	ADJ
eajbcs-1073	487	3	optimization	optimization	NOUN
eajbcs-1073	487	4	technique	technique	NOUN
eajbcs-1073	487	5	in	in	ADP
eajbcs-1073	487	6	agricultural	agricultural	ADJ
eajbcs-1073	487	7	production	production	NOUN
eajbcs-1073	487	8	planning	planning	NOUN
eajbcs-1073	487	9	:	:	PUNCT
eajbcs-1073	487	10	a	a	DET
eajbcs-1073	487	11	small	small	ADJ
eajbcs-1073	487	12	farm	farm	NOUN
eajbcs-1073	487	13	holder	holder	NOUN
eajbcs-1073	487	14	perspective	perspective	NOUN
eajbcs-1073	487	15	,	,	PUNCT
eajbcs-1073	487	16	international	international	ADJ
eajbcs-1073	487	17	journal	journal	NOUN
eajbcs-1073	487	18	of	of	ADP
eajbcs-1073	487	19	computer	computer	NOUN
eajbcs-1073	487	20	applications	application	NOUN
eajbcs-1073	487	21	,	,	PUNCT
eajbcs-1073	487	22	volume	volume	NOUN
eajbcs-1073	487	23	89	89	NUM
eajbcs-1073	487	24	,	,	PUNCT
eajbcs-1073	487	25	no.6	no.6	PROPN
eajbcs-1073	487	26	..	..	PUNCT
eajbcs-1073	487	27	bharati	bharati	PROPN
eajbcs-1073	487	28	,	,	PUNCT
eajbcs-1073	487	29	nishad	nishad	VERB
eajbcs-1073	487	30	,	,	PUNCT
eajbcs-1073	487	31	singh,2014	singh,2014	NOUN
eajbcs-1073	487	32	.	.	PUNCT
eajbcs-1073	488	1	solution	solution	NOUN
eajbcs-1073	488	2	of	of	ADP
eajbcs-1073	488	3	multi	multi	ADJ
eajbcs-1073	488	4	-	-	ADJ
eajbcs-1073	488	5	objective	objective	ADJ
eajbcs-1073	488	6	linear	linear	ADJ
eajbcs-1073	488	7	programming	programming	NOUN
eajbcs-1073	488	8	problems	problem	NOUN
eajbcs-1073	488	9	in	in	ADP
eajbcs-1073	488	10	intuitionistic	intuitionistic	ADJ
eajbcs-1073	488	11	fuzzy	fuzzy	ADJ
eajbcs-1073	488	12	environment	environment	NOUN
eajbcs-1073	488	13	,	,	PUNCT
eajbcs-1073	488	14	advances	advance	NOUN
eajbcs-1073	488	15	in	in	ADP
eajbcs-1073	488	16	intelligent	intelligent	ADJ
eajbcs-1073	488	17	systems	system	NOUN
eajbcs-1073	488	18	and	and	CCONJ
eajbcs-1073	488	19	computing	compute	VERB
eajbcs-1073	488	20	236	236	NUM
eajbcs-1073	488	21	.	.	PUNCT
eajbcs-1073	489	1	cheng	cheng	PROPN
eajbcs-1073	489	2	h.	h.	PROPN
eajbcs-1073	489	3	,	,	PUNCT
eajbcs-1073	489	4	huang	huang	PROPN
eajbcs-1073	489	5	w.	w.	PROPN
eajbcs-1073	489	6	,	,	PUNCT
eajbcs-1073	489	7	zhou	zhou	PROPN
eajbcs-1073	489	8	q.	q.	PROPN
eajbcs-1073	489	9	,	,	PUNCT
eajbcs-1073	489	10	cai	cai	PROPN
eajbcs-1073	489	11	j.	j.	PROPN
eajbcs-1073	489	12	2013	2013	PROPN
eajbcs-1073	489	13	.	.	PUNCT
eajbcs-1073	490	1	solving	solve	VERB
eajbcs-1073	490	2	fuzzy	fuzzy	ADJ
eajbcs-1073	490	3	multi	multi	ADJ
eajbcs-1073	490	4	-	-	ADJ
eajbcs-1073	490	5	objective	objective	ADJ
eajbcs-1073	490	6	linear	linear	ADJ
eajbcs-1073	490	7	programming	programming	NOUN
eajbcs-1073	490	8	problems	problem	NOUN
eajbcs-1073	490	9	using	use	VERB
eajbcs-1073	490	10	deviation	deviation	NOUN
eajbcs-1073	490	11	degree	degree	NOUN
eajbcs-1073	490	12	measures	measure	NOUN
eajbcs-1073	490	13	and	and	CCONJ
eajbcs-1073	490	14	weighted	weight	VERB
eajbcs-1073	490	15	max	max	PROPN
eajbcs-1073	490	16	–	–	PUNCT
eajbcs-1073	490	17	min	min	NOUN
eajbcs-1073	490	18	method	method	NOUN
eajbcs-1073	490	19	,	,	PUNCT
eajbcs-1073	490	20	applied	apply	VERB
eajbcs-1073	490	21	mathematical	mathematical	ADJ
eajbcs-1073	490	22	modelling	model	VERB
eajbcs-1073	490	23	37	37	NUM
eajbcs-1073	490	24	6855–6869	6855–6869	NUM
eajbcs-1073	490	25	.	.	PUNCT
eajbcs-1073	491	1	dey	dey	PROPN
eajbcs-1073	491	2	s.	s.	PROPN
eajbcs-1073	491	3	,	,	PUNCT
eajbcs-1073	491	4	roy	roy	PROPN
eajbcs-1073	491	5	t.k	t.k	PROPN
eajbcs-1073	491	6	.	.	PROPN
eajbcs-1073	491	7	2015	2015	NUM
eajbcs-1073	491	8	.	.	PUNCT
eajbcs-1073	492	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	492	2	fuzzy	fuzzy	ADJ
eajbcs-1073	492	3	goal	goal	NOUN
eajbcs-1073	492	4	programming	programming	NOUN
eajbcs-1073	492	5	technique	technique	NOUN
eajbcs-1073	492	6	for	for	ADP
eajbcs-1073	492	7	solving	solve	VERB
eajbcs-1073	492	8	non	non	ADJ
eajbcs-1073	492	9	-	-	ADJ
eajbcs-1073	492	10	linear	linear	ADJ
eajbcs-1073	492	11	multi	multi	ADJ
eajbcs-1073	492	12	-	-	ADJ
eajbcs-1073	492	13	objective	objective	ADJ
eajbcs-1073	492	14	structural	structural	ADJ
eajbcs-1073	492	15	problem	problem	NOUN
eajbcs-1073	492	16	,	,	PUNCT
eajbcs-1073	492	17	journal	journal	NOUN
eajbcs-1073	492	18	of	of	ADP
eajbcs-1073	492	19	fuzzy	fuzzy	ADJ
eajbcs-1073	492	20	set	set	VERB
eajbcs-1073	492	21	valued	value	VERB
eajbcs-1073	492	22	analysis	analysis	NOUN
eajbcs-1073	492	23	,	,	PUNCT
eajbcs-1073	492	24	3	3	NUM
eajbcs-1073	492	25	,	,	PUNCT
eajbcs-1073	492	26	00243	00243	NUM
eajbcs-1073	492	27	,	,	PUNCT
eajbcs-1073	492	28	1	1	NUM
eajbcs-1073	492	29	-	-	SYM
eajbcs-1073	492	30	15	15	NUM
eajbcs-1073	492	31	.	.	PUNCT
eajbcs-1073	493	1	dubey	dubey	PROPN
eajbcs-1073	493	2	d.	d.	PROPN
eajbcs-1073	493	3	,	,	PUNCT
eajbcs-1073	493	4	chandra	chandra	PROPN
eajbcs-1073	493	5	s.	s.	PROPN
eajbcs-1073	493	6	,	,	PUNCT
eajbcs-1073	493	7	mehra	mehra	PROPN
eajbcs-1073	493	8	a.	a.	PROPN
eajbcs-1073	493	9	2012	2012	NUM
eajbcs-1073	493	10	.	.	PUNCT
eajbcs-1073	494	1	fuzzy	fuzzy	ADJ
eajbcs-1073	494	2	linear	linear	ADJ
eajbcs-1073	494	3	programming	programming	NOUN
eajbcs-1073	494	4	under	under	ADP
eajbcs-1073	494	5	interval	interval	NOUN
eajbcs-1073	494	6	uncertainty	uncertainty	NOUN
eajbcs-1073	494	7	based	base	VERB
eajbcs-1073	494	8	on	on	ADP
eajbcs-1073	494	9	ifs	ifs	PROPN
eajbcs-1073	494	10	representation	representation	NOUN
eajbcs-1073	494	11	,	,	PUNCT
eajbcs-1073	494	12	fuzzy	fuzzy	ADJ
eajbcs-1073	494	13	sets	set	NOUN
eajbcs-1073	494	14	and	and	CCONJ
eajbcs-1073	494	15	systems	system	NOUN
eajbcs-1073	494	16	188	188	NUM
eajbcs-1073	494	17	68	68	NUM
eajbcs-1073	494	18	–	–	PUNCT
eajbcs-1073	494	19	87	87	NUM
eajbcs-1073	494	20	.	.	PUNCT
eajbcs-1073	495	1	dubois	dubois	PROPN
eajbcs-1073	495	2	,	,	PUNCT
eajbcs-1073	495	3	d.	d.	PROPN
eajbcs-1073	495	4	,	,	PUNCT
eajbcs-1073	495	5	fortemps	fortemp	NOUN
eajbcs-1073	495	6	,	,	PUNCT
eajbcs-1073	495	7	p.	p.	NOUN
eajbcs-1073	495	8	1999	1999	NUM
eajbcs-1073	495	9	.	.	PUNCT
eajbcs-1073	496	1	computing	compute	VERB
eajbcs-1073	496	2	improved	improve	VERB
eajbcs-1073	496	3	optimal	optimal	ADJ
eajbcs-1073	496	4	solutions	solution	NOUN
eajbcs-1073	496	5	to	to	ADP
eajbcs-1073	496	6	max	max	PROPN
eajbcs-1073	496	7	–	–	PUNCT
eajbcs-1073	496	8	min	min	NOUN
eajbcs-1073	496	9	flexible	flexible	ADJ
eajbcs-1073	496	10	constraint	constraint	NOUN
eajbcs-1073	496	11	satisfaction	satisfaction	NOUN
eajbcs-1073	496	12	problems	problem	NOUN
eajbcs-1073	496	13	,	,	PUNCT
eajbcs-1073	496	14	european	european	PROPN
eajbcs-1073	496	15	journal	journal	PROPN
eajbcs-1073	496	16	of	of	ADP
eajbcs-1073	496	17	operational	operational	ADJ
eajbcs-1073	496	18	research,118	research,118	NOUN
eajbcs-1073	496	19	,	,	PUNCT
eajbcs-1073	496	20	95	95	NUM
eajbcs-1073	496	21	-	-	SYM
eajbcs-1073	496	22	126	126	NUM
eajbcs-1073	496	23	.	.	PUNCT
eajbcs-1073	497	1	ehrgott	ehrgott	PROPN
eajbcs-1073	497	2	m.	m.	PROPN
eajbcs-1073	497	3	2000	2000	NUM
eajbcs-1073	497	4	.	.	PUNCT
eajbcs-1073	498	1	approximation	approximation	NOUN
eajbcs-1073	498	2	algorithms	algorithm	NOUN
eajbcs-1073	498	3	for	for	ADP
eajbcs-1073	498	4	combinatorial	combinatorial	ADJ
eajbcs-1073	498	5	multicriteria	multicriteria	PROPN
eajbcs-1073	498	6	optimization	optimization	NOUN
eajbcs-1073	498	7	problems	problem	NOUN
eajbcs-1073	498	8	,	,	PUNCT
eajbcs-1073	498	9	international	international	ADJ
eajbcs-1073	498	10	transactions	transaction	NOUN
eajbcs-1073	498	11	in	in	ADP
eajbcs-1073	498	12	operational	operational	ADJ
eajbcs-1073	498	13	research	research	NOUN
eajbcs-1073	498	14	,	,	PUNCT
eajbcs-1073	498	15	51	51	NUM
eajbcs-1073	498	16	7	7	NUM
eajbcs-1073	498	17	,	,	PUNCT
eajbcs-1073	498	18	111	111	NUM
eajbcs-1073	498	19	.	.	PUNCT
eajbcs-1073	498	20	fathy	fathy	PROPN
eajbcs-1073	498	21	e.	e.	PROPN
eajbcs-1073	498	22	,	,	PUNCT
eajbcs-1073	498	23	ammar	ammar	PROPN
eajbcs-1073	498	24	e	e	PROPN
eajbcs-1073	498	25	,	,	PUNCT
eajbcs-1073	498	26	helmy	helmy	ADJ
eajbcs-1073	498	27	m.a	m.a	PROPN
eajbcs-1073	498	28	.	.	PROPN
eajbcs-1073	498	29	2023	2023	NUM
eajbcs-1073	498	30	.	.	PUNCT
eajbcs-1073	499	1	fully	fully	ADV
eajbcs-1073	499	2	intuitionistic	intuitionistic	ADJ
eajbcs-1073	499	3	fuzzy	fuzzy	ADJ
eajbcs-1073	499	4	multi	multi	ADJ
eajbcs-1073	499	5	-	-	ADJ
eajbcs-1073	499	6	level	level	ADJ
eajbcs-1073	499	7	linear	linear	ADJ
eajbcs-1073	499	8	fractional	fractional	ADJ
eajbcs-1073	499	9	programming	programming	NOUN
eajbcs-1073	499	10	problem	problem	NOUN
eajbcs-1073	499	11	,	,	PUNCT
eajbcs-1073	499	12	alexandria	alexandria	PROPN
eajbcs-1073	499	13	engineering	engineering	PROPN
eajbcs-1073	499	14	journal	journal	PROPN
eajbcs-1073	499	15	77	77	NUM
eajbcs-1073	499	16	684694	684694	NUM
eajbcs-1073	499	17	.	.	PUNCT
eajbcs-1073	500	1	fuller	full	ADJ
eajbcs-1073	500	2	r.	r.	PROPN
eajbcs-1073	500	3	1998	1998	NUM
eajbcs-1073	500	4	.	.	PUNCT
eajbcs-1073	501	1	fuzzy	fuzzy	ADJ
eajbcs-1073	501	2	reasoning	reasoning	NOUN
eajbcs-1073	501	3	and	and	CCONJ
eajbcs-1073	501	4	fuzzy	fuzzy	ADJ
eajbcs-1073	501	5	optimization	optimization	NOUN
eajbcs-1073	501	6	,	,	PUNCT
eajbcs-1073	501	7	turku	turku	PROPN
eajbcs-1073	501	8	centre	centre	PROPN
eajbcs-1073	501	9	for	for	ADP
eajbcs-1073	501	10	computer	computer	NOUN
eajbcs-1073	501	11	science	science	NOUN
eajbcs-1073	501	12	.	.	PUNCT
eajbcs-1073	502	1	garai	garai	PROPN
eajbcs-1073	502	2	a.	a.	PROPN
eajbcs-1073	502	3	,	,	PUNCT
eajbcs-1073	502	4	mandal	mandal	PROPN
eajbcs-1073	502	5	p.	p.	PROPN
eajbcs-1073	502	6	,	,	PUNCT
eajbcs-1073	502	7	roy	roy	PROPN
eajbcs-1073	502	8	t.k	t.k	PROPN
eajbcs-1073	502	9	.	.	PROPN
eajbcs-1073	502	10	2015	2015	NUM
eajbcs-1073	502	11	.	.	PUNCT
eajbcs-1073	503	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	503	2	fuzzy	fuzzy	ADJ
eajbcs-1073	503	3	t	t	NOUN
eajbcs-1073	503	4	-	-	PUNCT
eajbcs-1073	503	5	sets	set	NOUN
eajbcs-1073	503	6	based	base	VERB
eajbcs-1073	503	7	solution	solution	NOUN
eajbcs-1073	503	8	east	east	PROPN
eajbcs-1073	503	9	afr	afr	PROPN
eajbcs-1073	503	10	.	.	PUNCT
eajbcs-1073	504	1	j.	j.	PROPN
eajbcs-1073	504	2	biophys	biophys	PROPN
eajbcs-1073	504	3	.	.	PUNCT
eajbcs-1073	505	1	comput	comput	NOUN
eajbcs-1073	505	2	.	.	PUNCT
eajbcs-1073	506	1	sci	sci	PROPN
eajbcs-1073	506	2	.	.	PUNCT
eajbcs-1073	507	1	(	(	PUNCT
eajbcs-1073	507	2	2024	2024	NUM
eajbcs-1073	507	3	)	)	PUNCT
eajbcs-1073	507	4	,	,	PUNCT
eajbcs-1073	507	5	vol	vol	NOUN
eajbcs-1073	507	6	.	.	PROPN
eajbcs-1073	507	7	5	5	NUM
eajbcs-1073	507	8	,	,	PUNCT
eajbcs-1073	507	9	no	no	INTJ
eajbcs-1073	507	10	.	.	NOUN
eajbcs-1073	507	11	2	2	NUM
eajbcs-1073	507	12	,	,	PUNCT
eajbcs-1073	507	13	41	41	NUM
eajbcs-1073	507	14	-	-	SYM
eajbcs-1073	507	15	57	57	NUM
eajbcs-1073	507	16	55	55	NUM
eajbcs-1073	507	17	aggarwal	aggarwal	NOUN
eajbcs-1073	507	18	a.	a.	NOUN
eajbcs-1073	507	19	,	,	PUNCT
eajbcs-1073	507	20	mehra	mehra	PROPN
eajbcs-1073	507	21	a.	a.	PROPN
eajbcs-1073	507	22	,	,	PUNCT
eajbcs-1073	507	23	chandra	chandra	PROPN
eajbcs-1073	507	24	s.	s.	PROPN
eajbcs-1073	507	25	,	,	PUNCT
eajbcs-1073	507	26	khan	khan	PROPN
eajbcs-1073	507	27	i.	i.	PROPN
eajbcs-1073	507	28	2019	2019	NUM
eajbcs-1073	507	29	.	.	PUNCT
eajbcs-1073	508	1	solving	solve	VERB
eajbcs-1073	508	2	atanassov	atanassov	NOUN
eajbcs-1073	508	3	’s	’s	PART
eajbcs-1073	508	4	i	i	NOUN
eajbcs-1073	508	5	-	-	PUNCT
eajbcs-1073	508	6	fuzzy	fuzzy	ADJ
eajbcs-1073	508	7	linear	linear	ADJ
eajbcs-1073	508	8	programming	programming	NOUN
eajbcs-1073	508	9	problems	problem	NOUN
eajbcs-1073	508	10	using	use	VERB
eajbcs-1073	508	11	hurwicz	hurwicz	PROPN
eajbcs-1073	508	12	’s	’s	PART
eajbcs-1073	508	13	criterion	criterion	NOUN
eajbcs-1073	508	14	,	,	PUNCT
eajbcs-1073	508	15	fuzzy	fuzzy	ADJ
eajbcs-1073	508	16	information	information	NOUN
eajbcs-1073	508	17	and	and	CCONJ
eajbcs-1073	508	18	engineering	engineering	NOUN
eajbcs-1073	508	19	,	,	PUNCT
eajbcs-1073	508	20	10	10	NUM
eajbcs-1073	508	21	(	(	PUNCT
eajbcs-1073	508	22	3	3	NUM
eajbcs-1073	508	23	)	)	PUNCT
eajbcs-1073	508	24	,	,	PUNCT
eajbcs-1073	508	25	339–361	339–361	NUM
eajbcs-1073	508	26	.	.	PUNCT
eajbcs-1073	509	1	technique	technique	NOUN
eajbcs-1073	509	2	for	for	ADP
eajbcs-1073	509	3	multiple	multiple	ADJ
eajbcs-1073	509	4	objective	objective	ADJ
eajbcs-1073	509	5	linear	linear	ADJ
eajbcs-1073	509	6	programming	programming	NOUN
eajbcs-1073	509	7	problems	problem	NOUN
eajbcs-1073	509	8	under	under	ADP
eajbcs-1073	509	9	imprecise	imprecise	ADJ
eajbcs-1073	509	10	environment	environment	NOUN
eajbcs-1073	509	11	,	,	PUNCT
eajbcs-1073	509	12	notes	note	NOUN
eajbcs-1073	509	13	on	on	ADP
eajbcs-1073	509	14	intuitionistic	intuitionistic	ADJ
eajbcs-1073	509	15	fuzzy	fuzzy	ADJ
eajbcs-1073	509	16	sets	set	NOUN
eajbcs-1073	509	17	,	,	PUNCT
eajbcs-1073	509	18	mersin	mersin	PROPN
eajbcs-1073	509	19	,	,	PUNCT
eajbcs-1073	509	20	turkey	turkey	PROPN
eajbcs-1073	509	21	,	,	PUNCT
eajbcs-1073	509	22	14–18	14–18	NUM
eajbcs-1073	509	23	.	.	PUNCT
eajbcs-1073	510	1	garai	garai	PROPN
eajbcs-1073	510	2	,	,	PUNCT
eajbcs-1073	510	3	a.	a.	NOUN
eajbcs-1073	510	4	,	,	PUNCT
eajbcs-1073	510	5	mandal	mandal	PROPN
eajbcs-1073	510	6	,	,	PUNCT
eajbcs-1073	510	7	p.	p.	PROPN
eajbcs-1073	510	8	,	,	PUNCT
eajbcs-1073	510	9	roy	roy	PROPN
eajbcs-1073	510	10	,	,	PUNCT
eajbcs-1073	510	11	t.k	t.k	PROPN
eajbcs-1073	510	12	.	.	PROPN
eajbcs-1073	510	13	2016	2016	NUM
eajbcs-1073	510	14	interactive	interactive	ADJ
eajbcs-1073	510	15	intuitionistic	intuitionistic	ADJ
eajbcs-1073	510	16	fuzzy	fuzzy	ADJ
eajbcs-1073	510	17	technique	technique	NOUN
eajbcs-1073	510	18	in	in	ADP
eajbcs-1073	510	19	multi	multi	ADJ
eajbcs-1073	510	20	-	-	ADJ
eajbcs-1073	510	21	objective	objective	ADJ
eajbcs-1073	510	22	optimisation	optimisation	NOUN
eajbcs-1073	510	23	,	,	PUNCT
eajbcs-1073	510	24	int	int	NOUN
eajbcs-1073	510	25	.	.	PUNCT
eajbcs-1073	511	1	j.	j.	PROPN
eajbcs-1073	511	2	fuzzy	fuzzy	PROPN
eajbcs-1073	511	3	computation	computation	NOUN
eajbcs-1073	511	4	and	and	CCONJ
eajbcs-1073	511	5	modelling	modelling	NOUN
eajbcs-1073	511	6	,	,	PUNCT
eajbcs-1073	511	7	2(1	2(1	NUM
eajbcs-1073	511	8	)	)	PUNCT
eajbcs-1073	511	9	,	,	PUNCT
eajbcs-1073	511	10	14	14	NUM
eajbcs-1073	511	11	-26	-26	NUM
eajbcs-1073	511	12	.	.	PUNCT
eajbcs-1073	512	1	ghosh	ghosh	PROPN
eajbcs-1073	512	2	p.	p.	PROPN
eajbcs-1073	512	3	,	,	PUNCT
eajbcs-1073	512	4	kumar	kumar	PROPN
eajbcs-1073	512	5	t.	t.	PROPN
eajbcs-1073	512	6	2014	2014	NUM
eajbcs-1073	512	7	.	.	PUNCT
eajbcs-1073	513	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	513	2	fuzzy	fuzzy	ADJ
eajbcs-1073	513	3	goal	goal	NOUN
eajbcs-1073	513	4	geometric	geometric	ADJ
eajbcs-1073	513	5	programming	programming	NOUN
eajbcs-1073	513	6	problem	problem	NOUN
eajbcs-1073	513	7	,	,	PUNCT
eajbcs-1073	513	8	notes	note	NOUN
eajbcs-1073	513	9	on	on	ADP
eajbcs-1073	513	10	intuitionistic	intuitionistic	ADJ
eajbcs-1073	513	11	fuzzy	fuzzy	ADJ
eajbcs-1073	513	12	sets	set	NOUN
eajbcs-1073	513	13	,	,	PUNCT
eajbcs-1073	513	14	20	20	NUM
eajbcs-1073	513	15	(	(	PUNCT
eajbcs-1073	513	16	1	1	NUM
eajbcs-1073	513	17	)	)	PUNCT
eajbcs-1073	513	18	,	,	PUNCT
eajbcs-1073	513	19	63–78	63–78	NUM
eajbcs-1073	513	20	.	.	PUNCT
eajbcs-1073	514	1	husain	husain	PROPN
eajbcs-1073	514	2	s.	s.	PROPN
eajbcs-1073	514	3	,	,	PUNCT
eajbcs-1073	514	4	ahmad	ahmad	PROPN
eajbcs-1073	514	5	y.	y.	PROPN
eajbcs-1073	514	6	,	,	PUNCT
eajbcs-1073	514	7	alam	alam	PROPN
eajbcs-1073	514	8	m.a	m.a	PROPN
eajbcs-1073	514	9	.	.	PROPN
eajbcs-1073	514	10	2012	2012	NUM
eajbcs-1073	514	11	.	.	PUNCT
eajbcs-1073	515	1	a	a	DET
eajbcs-1073	515	2	study	study	NOUN
eajbcs-1073	515	3	on	on	ADP
eajbcs-1073	515	4	the	the	DET
eajbcs-1073	515	5	role	role	NOUN
eajbcs-1073	515	6	of	of	ADP
eajbcs-1073	515	7	intuitionistic	intuitionistic	ADJ
eajbcs-1073	515	8	fuzzy	fuzzy	ADJ
eajbcs-1073	515	9	set	set	NOUN
eajbcs-1073	515	10	in	in	ADP
eajbcs-1073	515	11	decision	decision	NOUN
eajbcs-1073	515	12	making	make	VERB
eajbcs-1073	515	13	problems	problem	NOUN
eajbcs-1073	515	14	,	,	PUNCT
eajbcs-1073	515	15	international	international	ADJ
eajbcs-1073	515	16	journal	journal	NOUN
eajbcs-1073	515	17	of	of	ADP
eajbcs-1073	515	18	computer	computer	NOUN
eajbcs-1073	515	19	applications	application	NOUN
eajbcs-1073	515	20	,	,	PUNCT
eajbcs-1073	515	21	48	48	NUM
eajbcs-1073	515	22	(	(	PUNCT
eajbcs-1073	515	23	19	19	NUM
eajbcs-1073	515	24	)	)	PUNCT
eajbcs-1073	515	25	,	,	PUNCT
eajbcs-1073	515	26	1	1	NUM
eajbcs-1073	515	27	-	-	SYM
eajbcs-1073	515	28	7	7	NUM
eajbcs-1073	515	29	.	.	PUNCT
eajbcs-1073	515	30	hanine	hanine	PROPN
eajbcs-1073	515	31	,	,	PUNCT
eajbcs-1073	515	32	y.	y.	PROPN
eajbcs-1073	515	33	,	,	PUNCT
eajbcs-1073	515	34	lamrani	lamrani	PROPN
eajbcs-1073	515	35	alaoui	alaoui	ADV
eajbcs-1073	515	36	,	,	PUNCT
eajbcs-1073	515	37	y.	y.	PROPN
eajbcs-1073	515	38	,	,	PUNCT
eajbcs-1073	515	39	tkiouat	tkiouat	NOUN
eajbcs-1073	515	40	,	,	PUNCT
eajbcs-1073	515	41	m.	m.	NOUN
eajbcs-1073	515	42	,	,	PUNCT
eajbcs-1073	515	43	lahrichi	lahrichi	PROPN
eajbcs-1073	515	44	,	,	PUNCT
eajbcs-1073	515	45	y.	y.	PROPN
eajbcs-1073	515	46	2021	2021	NUM
eajbcs-1073	515	47	.	.	PUNCT
eajbcs-1073	516	1	socially	socially	ADV
eajbcs-1073	516	2	responsible	responsible	ADJ
eajbcs-1073	516	3	portfolio	portfolio	NOUN
eajbcs-1073	516	4	selection	selection	NOUN
eajbcs-1073	516	5	:	:	PUNCT
eajbcs-1073	516	6	an	an	DET
eajbcs-1073	516	7	interactive	interactive	ADJ
eajbcs-1073	516	8	intuitionistic	intuitionistic	ADJ
eajbcs-1073	516	9	fuzzy	fuzzy	ADJ
eajbcs-1073	516	10	approach	approach	NOUN
eajbcs-1073	516	11	.	.	PUNCT
eajbcs-1073	517	1	mathematics	mathematic	NOUN
eajbcs-1073	517	2	,	,	PUNCT
eajbcs-1073	517	3	9	9	NUM
eajbcs-1073	517	4	,	,	PUNCT
eajbcs-1073	517	5	3023	3023	NUM
eajbcs-1073	517	6	.	.	PUNCT
eajbcs-1073	518	1	isermann	isermann	PROPN
eajbcs-1073	518	2	h.	h.	PROPN
eajbcs-1073	518	3	,	,	PUNCT
eajbcs-1073	518	4	steuer	steuer	PROPN
eajbcs-1073	518	5	r.e	r.e	PROPN
eajbcs-1073	518	6	.	.	PROPN
eajbcs-1073	518	7	1987	1987	NUM
eajbcs-1073	518	8	.	.	PUNCT
eajbcs-1073	519	1	computational	computational	ADJ
eajbcs-1073	519	2	experience	experience	NOUN
eajbcs-1073	519	3	concerning	concern	VERB
eajbcs-1073	519	4	payoff	payoff	NOUN
eajbcs-1073	519	5	tables	table	NOUN
eajbcs-1073	519	6	and	and	CCONJ
eajbcs-1073	519	7	minimum	minimum	NOUN
eajbcs-1073	519	8	criterion	criterion	NOUN
eajbcs-1073	519	9	values	value	NOUN
eajbcs-1073	519	10	over	over	ADP
eajbcs-1073	519	11	efficient	efficient	ADJ
eajbcs-1073	519	12	set	set	NOUN
eajbcs-1073	519	13	.	.	PUNCT
eajbcs-1073	520	1	european	european	PROPN
eajbcs-1073	520	2	journal	journal	PROPN
eajbcs-1073	520	3	of	of	ADP
eajbcs-1073	520	4	operational	operational	ADJ
eajbcs-1073	520	5	research	research	NOUN
eajbcs-1073	520	6	,	,	PUNCT
eajbcs-1073	520	7	33	33	NUM
eajbcs-1073	520	8	,	,	PUNCT
eajbcs-1073	520	9	91	91	NUM
eajbcs-1073	520	10	-	-	SYM
eajbcs-1073	520	11	97	97	NUM
eajbcs-1073	520	12	.	.	PUNCT
eajbcs-1073	521	1	jameel	jameel	PROPN
eajbcs-1073	521	2	a.f	a.f	PROPN
eajbcs-1073	521	3	.	.	PROPN
eajbcs-1073	521	4	,	,	PUNCT
eajbcs-1073	521	5	radhi	radhi	PROPN
eajbcs-1073	521	6	a.z	a.z	PROPN
eajbcs-1073	521	7	.	.	PROPN
eajbcs-1073	521	8	2014	2014	NUM
eajbcs-1073	521	9	.	.	PUNCT
eajbcs-1073	522	1	penalty	penalty	NOUN
eajbcs-1073	522	2	function	function	NOUN
eajbcs-1073	522	3	method	method	NOUN
eajbcs-1073	522	4	for	for	ADP
eajbcs-1073	522	5	solving	solve	VERB
eajbcs-1073	522	6	fuzzy	fuzzy	ADJ
eajbcs-1073	522	7	nonlinear	nonlinear	ADJ
eajbcs-1073	522	8	programming	programming	NOUN
eajbcs-1073	522	9	problem	problem	NOUN
eajbcs-1073	522	10	,	,	PUNCT
eajbcs-1073	522	11	international	international	ADJ
eajbcs-1073	522	12	journal	journal	NOUN
eajbcs-1073	522	13	of	of	ADP
eajbcs-1073	522	14	recent	recent	ADJ
eajbcs-1073	522	15	research	research	NOUN
eajbcs-1073	522	16	in	in	ADP
eajbcs-1073	522	17	mathematics	mathematics	NOUN
eajbcs-1073	522	18	computer	computer	NOUN
eajbcs-1073	522	19	science	science	NOUN
eajbcs-1073	522	20	and	and	CCONJ
eajbcs-1073	522	21	information	information	NOUN
eajbcs-1073	522	22	technology	technology	NOUN
eajbcs-1073	522	23	,	,	PUNCT
eajbcs-1073	522	24	1	1	NUM
eajbcs-1073	522	25	(	(	PUNCT
eajbcs-1073	522	26	1	1	NUM
eajbcs-1073	522	27	)	)	PUNCT
eajbcs-1073	522	28	,	,	PUNCT
eajbcs-1073	522	29	1	1	NUM
eajbcs-1073	522	30	-	-	SYM
eajbcs-1073	522	31	13	13	NUM
eajbcs-1073	522	32	.	.	PUNCT
eajbcs-1073	523	1	jafarian	jafarian	PROPN
eajbcs-1073	523	2	e.	e.	PROPN
eajbcs-1073	523	3	,	,	PUNCT
eajbcs-1073	523	4	razmi	razmi	PROPN
eajbcs-1073	523	5	j.	j.	PROPN
eajbcs-1073	523	6	,	,	PUNCT
eajbcs-1073	523	7	baki	baki	PROPN
eajbcs-1073	523	8	m.	m.	PROPN
eajbcs-1073	523	9	f.	f.	PROPN
eajbcs-1073	523	10	2018	2018	NUM
eajbcs-1073	523	11	.	.	PUNCT
eajbcs-1073	524	1	a	a	DET
eajbcs-1073	524	2	flexible	flexible	ADJ
eajbcs-1073	524	3	programming	programming	NOUN
eajbcs-1073	524	4	approach	approach	NOUN
eajbcs-1073	524	5	based	base	VERB
eajbcs-1073	524	6	on	on	ADP
eajbcs-1073	524	7	intuitionistic	intuitionistic	ADJ
eajbcs-1073	524	8	fuzzy	fuzzy	ADJ
eajbcs-1073	524	9	optimization	optimization	NOUN
eajbcs-1073	524	10	and	and	CCONJ
eajbcs-1073	524	11	geometric	geometric	ADJ
eajbcs-1073	524	12	programming	programming	NOUN
eajbcs-1073	524	13	for	for	ADP
eajbcs-1073	524	14	solving	solve	VERB
eajbcs-1073	524	15	multiobjective	multiobjective	ADJ
eajbcs-1073	524	16	nonlinear	nonlinear	ADJ
eajbcs-1073	524	17	programming	programming	NOUN
eajbcs-1073	524	18	problems	problem	NOUN
eajbcs-1073	524	19	,	,	PUNCT
eajbcs-1073	524	20	expert	expert	NOUN
eajbcs-1073	524	21	systems	system	NOUN
eajbcs-1073	524	22	with	with	ADP
eajbcs-1073	524	23	applications	application	NOUN
eajbcs-1073	524	24	93	93	NUM
eajbcs-1073	524	25	,	,	PUNCT
eajbcs-1073	524	26	245	245	NUM
eajbcs-1073	524	27	-	-	SYM
eajbcs-1073	524	28	256	256	NUM
eajbcs-1073	524	29	.	.	PUNCT
eajbcs-1073	525	1	jiménez	jiménez	PROPN
eajbcs-1073	525	2	m.	m.	NOUN
eajbcs-1073	525	3	,	,	PUNCT
eajbcs-1073	525	4	bilbao	bilbao	PROPN
eajbcs-1073	525	5	a.	a.	PROPN
eajbcs-1073	525	6	2009	2009	NUM
eajbcs-1073	525	7	.	.	PUNCT
eajbcs-1073	526	1	pareto	pareto	VERB
eajbcs-1073	526	2	-	-	PUNCT
eajbcs-1073	526	3	optimal	optimal	ADJ
eajbcs-1073	526	4	solutions	solution	NOUN
eajbcs-1073	526	5	in	in	ADP
eajbcs-1073	526	6	fuzzy	fuzzy	ADJ
eajbcs-1073	526	7	multi	multi	ADJ
eajbcs-1073	526	8	-	-	ADJ
eajbcs-1073	526	9	objective	objective	ADJ
eajbcs-1073	526	10	linear	linear	ADJ
eajbcs-1073	526	11	programming	programming	NOUN
eajbcs-1073	526	12	,	,	PUNCT
eajbcs-1073	526	13	fuzzy	fuzzy	ADJ
eajbcs-1073	526	14	sets	set	NOUN
eajbcs-1073	526	15	and	and	CCONJ
eajbcs-1073	526	16	systems	system	NOUN
eajbcs-1073	526	17	160	160	NUM
eajbcs-1073	526	18	,	,	PUNCT
eajbcs-1073	526	19	2714	2714	NUM
eajbcs-1073	526	20	–	–	PUNCT
eajbcs-1073	526	21	2721	2721	NUM
eajbcs-1073	526	22	.	.	PUNCT
eajbcs-1073	527	1	kahraman	kahraman	PROPN
eajbcs-1073	527	2	c.	c.	PROPN
eajbcs-1073	527	3	,	,	PUNCT
eajbcs-1073	527	4	öztayşi	öztayşi	PROPN
eajbcs-1073	527	5	b.	b.	PROPN
eajbcs-1073	527	6	,	,	PUNCT
eajbcs-1073	527	7	çevik	çevik	PROPN
eajbcs-1073	527	8	s.	s.	PROPN
eajbcs-1073	527	9	2016	2016	NUM
eajbcs-1073	527	10	.	.	PUNCT
eajbcs-1073	528	1	a	a	DET
eajbcs-1073	528	2	comprehensive	comprehensive	ADJ
eajbcs-1073	528	3	literature	literature	NOUN
eajbcs-1073	528	4	review	review	NOUN
eajbcs-1073	528	5	of	of	ADP
eajbcs-1073	528	6	50	50	NUM
eajbcs-1073	528	7	years	year	NOUN
eajbcs-1073	528	8	of	of	ADP
eajbcs-1073	528	9	fuzzy	fuzzy	ADJ
eajbcs-1073	528	10	set	set	NOUN
eajbcs-1073	528	11	theory	theory	NOUN
eajbcs-1073	528	12	,	,	PUNCT
eajbcs-1073	528	13	international	international	ADJ
eajbcs-1073	528	14	journal	journal	NOUN
eajbcs-1073	528	15	of	of	ADP
eajbcs-1073	528	16	computational	computational	ADJ
eajbcs-1073	528	17	intelligence	intelligence	NOUN
eajbcs-1073	528	18	systems	system	NOUN
eajbcs-1073	528	19	.	.	PUNCT
eajbcs-1073	529	1	kassa	kassa	PROPN
eajbcs-1073	529	2	s.m	s.m	PROPN
eajbcs-1073	529	3	.	.	PROPN
eajbcs-1073	529	4	,	,	PUNCT
eajbcs-1073	529	5	tsegaye	tsegaye	VERB
eajbcs-1073	529	6	t.h	t.h	PROPN
eajbcs-1073	529	7	.	.	PROPN
eajbcs-1073	529	8	2018	2018	NUM
eajbcs-1073	529	9	.	.	PUNCT
eajbcs-1073	530	1	an	an	DET
eajbcs-1073	530	2	iterative	iterative	NOUN
eajbcs-1073	530	3	method	method	NOUN
eajbcs-1073	530	4	for	for	ADP
eajbcs-1073	530	5	tri	tri	ADJ
eajbcs-1073	530	6	-	-	ADJ
eajbcs-1073	530	7	level	level	ADJ
eajbcs-1073	530	8	quadratic	quadratic	ADJ
eajbcs-1073	530	9	fractional	fractional	ADJ
eajbcs-1073	530	10	programming	programming	NOUN
eajbcs-1073	530	11	problems	problem	NOUN
eajbcs-1073	530	12	using	use	VERB
eajbcs-1073	530	13	fuzzy	fuzzy	ADJ
eajbcs-1073	530	14	goal	goal	NOUN
eajbcs-1073	530	15	programming	programming	NOUN
eajbcs-1073	530	16	approach	approach	NOUN
eajbcs-1073	530	17	,	,	PUNCT
eajbcs-1073	530	18	j.	j.	PROPN
eajbcs-1073	530	19	ind	ind	PROPN
eajbcs-1073	530	20	.	.	PUNCT
eajbcs-1073	531	1	eng	eng	PROPN
eajbcs-1073	531	2	.	.	PUNCT
eajbcs-1073	532	1	int	int	PROPN
eajbcs-1073	532	2	.	.	PUNCT
eajbcs-1073	533	1	14	14	NUM
eajbcs-1073	533	2	,	,	PUNCT
eajbcs-1073	533	3	255–264	255–264	NUM
eajbcs-1073	533	4	.	.	PUNCT
eajbcs-1073	534	1	khan	khan	PROPN
eajbcs-1073	534	2	m.f	m.f	PROPN
eajbcs-1073	534	3	.	.	PROPN
eajbcs-1073	534	4	,	,	PUNCT
eajbcs-1073	534	5	haq	haq	PROPN
eajbcs-1073	534	6	a.	a.	PROPN
eajbcs-1073	534	7	,	,	PUNCT
eajbcs-1073	534	8	ahmed	ahmed	PROPN
eajbcs-1073	534	9	a.	a.	PROPN
eajbcs-1073	534	10	,	,	PUNCT
eajbcs-1073	534	11	ali	ali	PROPN
eajbcs-1073	534	12	i.	i.	PROPN
eajbcs-1073	534	13	,	,	PUNCT
eajbcs-1073	534	14	2021	2021	NUM
eajbcs-1073	534	15	.	.	PUNCT
eajbcs-1073	535	1	multiobjective	multiobjective	ADJ
eajbcs-1073	535	2	multi	multi	ADJ
eajbcs-1073	535	3	-	-	ADJ
eajbcs-1073	535	4	product	product	ADJ
eajbcs-1073	535	5	production	production	NOUN
eajbcs-1073	535	6	planning	planning	NOUN
eajbcs-1073	535	7	problem	problem	NOUN
eajbcs-1073	535	8	using	use	VERB
eajbcs-1073	535	9	intuitionistic	intuitionistic	ADJ
eajbcs-1073	535	10	and	and	CCONJ
eajbcs-1073	535	11	neutrosophic	neutrosophic	ADJ
eajbcs-1073	535	12	fuzzy	fuzzy	ADJ
eajbcs-1073	535	13	programming	programming	NOUN
eajbcs-1073	535	14	,	,	PUNCT
eajbcs-1073	535	15	ieees	ieee	VERB
eajbcs-1073	535	16	access	access	NOUN
eajbcs-1073	535	17	multidisciplinary	multidisciplinary	NOUN
eajbcs-1073	535	18	.	.	PUNCT
eajbcs-1073	536	1	kumar	kumar	PROPN
eajbcs-1073	536	2	p.	p.	PROPN
eajbcs-1073	536	3	s.	s.	PROPN
eajbcs-1073	536	4	2020	2020	NUM
eajbcs-1073	536	5	.	.	PUNCT
eajbcs-1073	537	1	algorithms	algorithm	NOUN
eajbcs-1073	537	2	for	for	ADP
eajbcs-1073	537	3	solving	solve	VERB
eajbcs-1073	537	4	the	the	DET
eajbcs-1073	537	5	optimization	optimization	NOUN
eajbcs-1073	537	6	problems	problem	NOUN
eajbcs-1073	537	7	using	use	VERB
eajbcs-1073	537	8	fuzzy	fuzzy	ADJ
eajbcs-1073	537	9	and	and	CCONJ
eajbcs-1073	537	10	intuitionistic	intuitionistic	ADJ
eajbcs-1073	537	11	fuzzy	fuzzy	ADJ
eajbcs-1073	537	12	set	set	NOUN
eajbcs-1073	537	13	,	,	PUNCT
eajbcs-1073	537	14	international	international	ADJ
eajbcs-1073	537	15	journal	journal	NOUN
eajbcs-1073	537	16	of	of	ADP
eajbcs-1073	537	17	system	system	NOUN
eajbcs-1073	537	18	assurance	assurance	NOUN
eajbcs-1073	537	19	engineering	engineering	NOUN
eajbcs-1073	537	20	and	and	CCONJ
eajbcs-1073	537	21	management	management	NOUN
eajbcs-1073	537	22	11	11	NUM
eajbcs-1073	537	23	,	,	PUNCT
eajbcs-1073	537	24	189–222	189–222	NUM
eajbcs-1073	537	25	.	.	PUNCT
eajbcs-1073	538	1	li	li	PROPN
eajbcs-1073	538	2	d.f	d.f	PROPN
eajbcs-1073	538	3	.	.	PROPN
eajbcs-1073	538	4	2020	2020	NUM
eajbcs-1073	538	5	,	,	PUNCT
eajbcs-1073	538	6	decision	decision	NOUN
eajbcs-1073	538	7	and	and	CCONJ
eajbcs-1073	538	8	game	game	NOUN
eajbcs-1073	538	9	theory	theory	NOUN
eajbcs-1073	538	10	in	in	ADP
eajbcs-1073	538	11	management	management	NOUN
eajbcs-1073	538	12	with	with	ADP
eajbcs-1073	538	13	intuitionistic	intuitionistic	ADJ
eajbcs-1073	538	14	fuzzy	fuzzy	ADJ
eajbcs-1073	538	15	sets	set	NOUN
eajbcs-1073	538	16	,	,	PUNCT
eajbcs-1073	538	17	studies	study	NOUN
eajbcs-1073	538	18	in	in	ADP
eajbcs-1073	538	19	fuzziness	fuzziness	NOUN
eajbcs-1073	538	20	and	and	CCONJ
eajbcs-1073	538	21	soft	soft	ADJ
eajbcs-1073	538	22	computing	computing	NOUN
eajbcs-1073	538	23	,	,	PUNCT
eajbcs-1073	538	24	308	308	NUM
eajbcs-1073	538	25	,	,	PUNCT
eajbcs-1073	538	26	2941	2941	NUM
eajbcs-1073	538	27	-	-	SYM
eajbcs-1073	538	28	2955	2955	NUM
eajbcs-1073	538	29	.	.	PUNCT
eajbcs-1073	539	1	li	li	PROPN
eajbcs-1073	539	2	s.	s.	PROPN
eajbcs-1073	539	3	,	,	PUNCT
eajbcs-1073	539	4	hu	hu	PROPN
eajbcs-1073	539	5	c.	c.	PROPN
eajbcs-1073	539	6	2009	2009	NUM
eajbcs-1073	539	7	.	.	PUNCT
eajbcs-1073	540	1	satisfying	satisfy	VERB
eajbcs-1073	540	2	optimization	optimization	NOUN
eajbcs-1073	540	3	method	method	NOUN
eajbcs-1073	540	4	based	base	VERB
eajbcs-1073	540	5	on	on	ADP
eajbcs-1073	540	6	goal	goal	NOUN
eajbcs-1073	540	7	programming	programming	NOUN
eajbcs-1073	540	8	for	for	ADP
eajbcs-1073	540	9	fuzzy	fuzzy	ADJ
eajbcs-1073	540	10	multiple	multiple	ADJ
eajbcs-1073	540	11	objective	objective	ADJ
eajbcs-1073	540	12	optimization	optimization	NOUN
eajbcs-1073	540	13	problem	problem	NOUN
eajbcs-1073	540	14	,	,	PUNCT
eajbcs-1073	540	15	european	european	ADJ
eajbcs-1073	540	16	journal	journal	PROPN
eajbcs-1073	540	17	of	of	ADP
eajbcs-1073	540	18	operational	operational	ADJ
eajbcs-1073	540	19	research	research	NOUN
eajbcs-1073	540	20	197	197	NUM
eajbcs-1073	540	21	,	,	PUNCT
eajbcs-1073	540	22	675–684	675–684	NUM
eajbcs-1073	540	23	.	.	PUNCT
eajbcs-1073	541	1	lu	lu	PROPN
eajbcs-1073	541	2	s.	s.	PROPN
eajbcs-1073	541	3	,	,	PUNCT
eajbcs-1073	541	4	su	su	PROPN
eajbcs-1073	541	5	l.	l.	PROPN
eajbcs-1073	541	6	,	,	PUNCT
eajbcs-1073	541	7	xiao	xiao	PROPN
eajbcs-1073	541	8	l.	l.	PROPN
eajbcs-1073	541	9	,	,	PUNCT
eajbcs-1073	541	10	zhu	zhu	PROPN
eajbcs-1073	541	11	l.2015	l.2015	PROPN
eajbcs-1073	541	12	.	.	PUNCT
eajbcs-1073	542	1	application	application	NOUN
eajbcs-1073	542	2	of	of	ADP
eajbcs-1073	542	3	two	two	NUM
eajbcs-1073	542	4	-	-	PUNCT
eajbcs-1073	542	5	phase	phase	NOUN
eajbcs-1073	542	6	fuzzy	fuzzy	ADJ
eajbcs-1073	542	7	optimization	optimization	NOUN
eajbcs-1073	542	8	approach	approach	NOUN
eajbcs-1073	542	9	to	to	ADP
eajbcs-1073	542	10	multiproduct	multiproduct	VERB
eajbcs-1073	542	11	multistage	multistage	NOUN
eajbcs-1073	542	12	integrated	integrate	VERB
eajbcs-1073	542	13	production	production	NOUN
eajbcs-1073	542	14	planning	planning	NOUN
eajbcs-1073	542	15	with	with	ADP
eajbcs-1073	542	16	linguistic	linguistic	ADJ
eajbcs-1073	542	17	preference	preference	NOUN
eajbcs-1073	542	18	under	under	ADP
eajbcs-1073	542	19	uncertainty	uncertainty	NOUN
eajbcs-1073	542	20	,	,	PUNCT
eajbcs-1073	542	21	mathematical	mathematical	ADJ
eajbcs-1073	542	22	problems	problem	NOUN
eajbcs-1073	542	23	in	in	ADP
eajbcs-1073	542	24	engineering	engineering	NOUN
eajbcs-1073	542	25	,	,	PUNCT
eajbcs-1073	542	26	780830	780830	NUM
eajbcs-1073	542	27	,	,	PUNCT
eajbcs-1073	542	28	1	1	NUM
eajbcs-1073	542	29	-	-	SYM
eajbcs-1073	542	30	20	20	NUM
eajbcs-1073	542	31	.	.	PUNCT
eajbcs-1073	543	1	meng	meng	PROPN
eajbcs-1073	543	2	z.	z.	PROPN
eajbcs-1073	543	3	,	,	PUNCT
eajbcs-1073	543	4	shen	shen	PROPN
eajbcs-1073	543	5	r.	r.	PROPN
eajbcs-1073	543	6	,	,	PUNCT
eajbcs-1073	543	7	jiang	jiang	PROPN
eajbcs-1073	543	8	m.	m.	PROPN
eajbcs-1073	543	9	2011	2011	NUM
eajbcs-1073	543	10	.	.	PUNCT
eajbcs-1073	544	1	an	an	DET
eajbcs-1073	544	2	objective	objective	ADJ
eajbcs-1073	544	3	penalty	penalty	NOUN
eajbcs-1073	544	4	functions	function	NOUN
eajbcs-1073	544	5	algorithm	algorithm	NOUN
eajbcs-1073	544	6	for	for	ADP
eajbcs-1073	544	7	multiobjective	multiobjective	ADJ
eajbcs-1073	544	8	optimization	optimization	NOUN
eajbcs-1073	544	9	problem	problem	NOUN
eajbcs-1073	544	10	,	,	PUNCT
eajbcs-1073	544	11	american	american	ADJ
eajbcs-1073	544	12	journal	journal	PROPN
eajbcs-1073	544	13	of	of	ADP
eajbcs-1073	544	14	operations	operation	NOUN
eajbcs-1073	544	15	research	research	NOUN
eajbcs-1073	544	16	,	,	PUNCT
eajbcs-1073	544	17	1	1	NUM
eajbcs-1073	544	18	,	,	PUNCT
eajbcs-1073	544	19	229	229	NUM
eajbcs-1073	544	20	-	-	SYM
eajbcs-1073	544	21	235	235	NUM
eajbcs-1073	544	22	.	.	PUNCT
eajbcs-1073	544	23	moges	moges	PROPN
eajbcs-1073	544	24	d.m	d.m	PROPN
eajbcs-1073	544	25	.	.	PROPN
eajbcs-1073	544	26	,	,	PUNCT
eajbcs-1073	544	27	mushi	mushi	PROPN
eajbcs-1073	544	28	a.r	a.r	PROPN
eajbcs-1073	544	29	.	.	PROPN
eajbcs-1073	544	30	,	,	PUNCT
eajbcs-1073	544	31	wordofa	wordofa	NOUN
eajbcs-1073	544	32	b.g	b.g	PROPN
eajbcs-1073	544	33	.	.	PROPN
eajbcs-1073	544	34	2023	2023	NUM
eajbcs-1073	544	35	.	.	PUNCT
eajbcs-1073	545	1	a	a	DET
eajbcs-1073	545	2	new	new	ADJ
eajbcs-1073	545	3	method	method	NOUN
eajbcs-1073	545	4	for	for	ADP
eajbcs-1073	545	5	intuitioniseast	intuitioniseast	NOUN
eajbcs-1073	545	6	afr	afr	PROPN
eajbcs-1073	545	7	.	.	PUNCT
eajbcs-1073	546	1	j.	j.	PROPN
eajbcs-1073	546	2	biophys	biophys	PROPN
eajbcs-1073	546	3	.	.	PUNCT
eajbcs-1073	547	1	comput	comput	NOUN
eajbcs-1073	547	2	.	.	PUNCT
eajbcs-1073	548	1	sci	sci	PROPN
eajbcs-1073	548	2	.	.	PUNCT
eajbcs-1073	549	1	(	(	PUNCT
eajbcs-1073	549	2	2024	2024	NUM
eajbcs-1073	549	3	)	)	PUNCT
eajbcs-1073	549	4	,	,	PUNCT
eajbcs-1073	549	5	vol	vol	NOUN
eajbcs-1073	549	6	.	.	PROPN
eajbcs-1073	549	7	5	5	NUM
eajbcs-1073	549	8	,	,	PUNCT
eajbcs-1073	549	9	no	no	INTJ
eajbcs-1073	549	10	.	.	NOUN
eajbcs-1073	549	11	2	2	NUM
eajbcs-1073	549	12	,	,	PUNCT
eajbcs-1073	549	13	41	41	NUM
eajbcs-1073	549	14	-	-	SYM
eajbcs-1073	549	15	57	57	NUM
eajbcs-1073	549	16	56	56	NUM
eajbcs-1073	549	17	tic	tic	ADJ
eajbcs-1073	549	18	fuzzy	fuzzy	ADJ
eajbcs-1073	549	19	multiobjective	multiobjective	ADJ
eajbcs-1073	549	20	linear	linear	ADJ
eajbcs-1073	549	21	fractional	fractional	ADJ
eajbcs-1073	549	22	optimization	optimization	NOUN
eajbcs-1073	549	23	problem	problem	NOUN
eajbcs-1073	549	24	and	and	CCONJ
eajbcs-1073	549	25	its	its	PRON
eajbcs-1073	549	26	application	application	NOUN
eajbcs-1073	549	27	in	in	ADP
eajbcs-1073	549	28	agricultural	agricultural	ADJ
eajbcs-1073	549	29	land	land	NOUN
eajbcs-1073	549	30	allocation	allocation	NOUN
eajbcs-1073	549	31	problem	problem	NOUN
eajbcs-1073	549	32	,	,	PUNCT
eajbcs-1073	549	33	information	information	NOUN
eajbcs-1073	549	34	sciences	science	NOUN
eajbcs-1073	549	35	625	625	NUM
eajbcs-1073	549	36	,	,	PUNCT
eajbcs-1073	549	37	457475	457475	NUM
eajbcs-1073	549	38	.	.	PUNCT
eajbcs-1073	550	1	moges	moge	NOUN
eajbcs-1073	550	2	d.m	d.m	PROPN
eajbcs-1073	550	3	.	.	PROPN
eajbcs-1073	550	4	,	,	PUNCT
eajbcs-1073	550	5	wordofa	wordofa	NOUN
eajbcs-1073	550	6	b.g	b.g	PROPN
eajbcs-1073	550	7	.	.	PROPN
eajbcs-1073	550	8	2024	2024	NUM
eajbcs-1073	550	9	.	.	PUNCT
eajbcs-1073	551	1	an	an	DET
eajbcs-1073	551	2	efficient	efficient	ADJ
eajbcs-1073	551	3	algorithm	algorithm	NOUN
eajbcs-1073	551	4	for	for	ADP
eajbcs-1073	551	5	solving	solve	VERB
eajbcs-1073	551	6	multilevel	multilevel	ADJ
eajbcs-1073	551	7	multiobjective	multiobjective	ADJ
eajbcs-1073	551	8	linear	linear	ADJ
eajbcs-1073	551	9	fractional	fractional	ADJ
eajbcs-1073	551	10	optimization	optimization	NOUN
eajbcs-1073	551	11	problem	problem	NOUN
eajbcs-1073	551	12	with	with	ADP
eajbcs-1073	551	13	neutrosophic	neutrosophic	ADJ
eajbcs-1073	551	14	parameters	parameter	NOUN
eajbcs-1073	551	15	,	,	PUNCT
eajbcs-1073	551	16	expert	expert	NOUN
eajbcs-1073	551	17	systems	system	NOUN
eajbcs-1073	551	18	with	with	ADP
eajbcs-1073	551	19	applications	application	NOUN
eajbcs-1073	551	20	257	257	NUM
eajbcs-1073	551	21	,	,	PUNCT
eajbcs-1073	551	22	125122	125122	NUM
eajbcs-1073	551	23	.	.	PUNCT
eajbcs-1073	552	1	moges	moge	NOUN
eajbcs-1073	552	2	d.m	d.m	PROPN
eajbcs-1073	552	3	.	.	PROPN
eajbcs-1073	552	4	,	,	PUNCT
eajbcs-1073	552	5	wordofa	wordofa	NOUN
eajbcs-1073	552	6	b.g	b.g	PROPN
eajbcs-1073	552	7	.	.	PROPN
eajbcs-1073	552	8	,	,	PUNCT
eajbcs-1073	552	9	mushi	mushi	PROPN
eajbcs-1073	552	10	a.r	a.r	PROPN
eajbcs-1073	552	11	.	.	PROPN
eajbcs-1073	552	12	2023	2023	NUM
eajbcs-1073	552	13	.	.	PUNCT
eajbcs-1073	553	1	solving	solve	VERB
eajbcs-1073	553	2	multi	multi	ADJ
eajbcs-1073	553	3	-	-	ADJ
eajbcs-1073	553	4	objective	objective	ADJ
eajbcs-1073	553	5	linear	linear	ADJ
eajbcs-1073	553	6	fractional	fractional	ADJ
eajbcs-1073	553	7	decentralized	decentralize	VERB
eajbcs-1073	553	8	bi	bi	ADJ
eajbcs-1073	553	9	-	-	ADJ
eajbcs-1073	553	10	level	level	ADJ
eajbcs-1073	553	11	decisionmaking	decisionmake	VERB
eajbcs-1073	553	12	problems	problem	NOUN
eajbcs-1073	553	13	through	through	ADP
eajbcs-1073	553	14	compensatory	compensatory	ADJ
eajbcs-1073	553	15	intuitionistic	intuitionistic	ADJ
eajbcs-1073	553	16	fuzzy	fuzzy	ADJ
eajbcs-1073	553	17	mathematical	mathematical	ADJ
eajbcs-1073	553	18	method	method	NOUN
eajbcs-1073	553	19	,	,	PUNCT
eajbcs-1073	553	20	journal	journal	NOUN
eajbcs-1073	553	21	of	of	ADP
eajbcs-1073	553	22	computational	computational	ADJ
eajbcs-1073	553	23	science	science	NOUN
eajbcs-1073	553	24	71	71	NUM
eajbcs-1073	553	25	,	,	PUNCT
eajbcs-1073	553	26	102075	102075	NUM
eajbcs-1073	553	27	.	.	PUNCT
eajbcs-1073	554	1	mollalign	mollalign	PROPN
eajbcs-1073	554	2	d.	d.	PROPN
eajbcs-1073	554	3	,	,	PUNCT
eajbcs-1073	554	4	mushi	mushi	PROPN
eajbcs-1073	554	5	a.	a.	PROPN
eajbcs-1073	554	6	,	,	PUNCT
eajbcs-1073	554	7	guta	guta	PROPN
eajbcs-1073	554	8	b.	b.	PROPN
eajbcs-1073	554	9	2022	2022	NUM
eajbcs-1073	554	10	.	.	PUNCT
eajbcs-1073	555	1	solving	solve	VERB
eajbcs-1073	555	2	multi	multi	ADJ
eajbcs-1073	555	3	-	-	ADJ
eajbcs-1073	555	4	objective	objective	ADJ
eajbcs-1073	555	5	multilevel	multilevel	ADJ
eajbcs-1073	555	6	programming	programming	NOUN
eajbcs-1073	555	7	problems	problem	NOUN
eajbcs-1073	555	8	using	use	VERB
eajbcs-1073	555	9	two	two	NUM
eajbcs-1073	555	10	-	-	PUNCT
eajbcs-1073	555	11	phase	phase	NOUN
eajbcs-1073	555	12	intuitionistic	intuitionistic	ADJ
eajbcs-1073	555	13	fuzzy	fuzzy	ADJ
eajbcs-1073	555	14	goal	goal	NOUN
eajbcs-1073	555	15	programming	programming	NOUN
eajbcs-1073	555	16	method	method	NOUN
eajbcs-1073	555	17	,	,	PUNCT
eajbcs-1073	555	18	journal	journal	NOUN
eajbcs-1073	555	19	of	of	ADP
eajbcs-1073	555	20	computational	computational	ADJ
eajbcs-1073	555	21	science	science	NOUN
eajbcs-1073	555	22	63	63	NUM
eajbcs-1073	555	23	,	,	PUNCT
eajbcs-1073	555	24	101786	101786	NUM
eajbcs-1073	555	25	.	.	PUNCT
eajbcs-1073	556	1	razmi	razmi	PROPN
eajbcs-1073	556	2	j.	j.	PROPN
eajbcs-1073	556	3	,	,	PUNCT
eajbcs-1073	556	4	jafarian	jafarian	PROPN
eajbcs-1073	556	5	e.	e.	PROPN
eajbcs-1073	556	6	,	,	PUNCT
eajbcs-1073	556	7	amin	amin	PROPN
eajbcs-1073	556	8	s.h	s.h	PROPN
eajbcs-1073	556	9	.	.	PROPN
eajbcs-1073	556	10	2016	2016	NUM
eajbcs-1073	556	11	.	.	PUNCT
eajbcs-1073	557	1	an	an	DET
eajbcs-1073	557	2	intuitionistic	intuitionistic	ADJ
eajbcs-1073	557	3	fuzzy	fuzzy	ADJ
eajbcs-1073	557	4	goal	goal	NOUN
eajbcs-1073	557	5	programming	programming	NOUN
eajbcs-1073	557	6	approach	approach	NOUN
eajbcs-1073	557	7	for	for	ADP
eajbcs-1073	557	8	finding	find	VERB
eajbcs-1073	557	9	pareto	pareto	VERB
eajbcs-1073	557	10	-	-	PUNCT
eajbcs-1073	557	11	optimal	optimal	ADJ
eajbcs-1073	557	12	solutions	solution	NOUN
eajbcs-1073	557	13	to	to	ADP
eajbcs-1073	557	14	multi	multi	ADJ
eajbcs-1073	557	15	-	-	ADJ
eajbcs-1073	557	16	objective	objective	ADJ
eajbcs-1073	557	17	programming	programming	NOUN
eajbcs-1073	557	18	problems	problem	NOUN
eajbcs-1073	557	19	,	,	PUNCT
eajbcs-1073	557	20	expert	expert	NOUN
eajbcs-1073	557	21	systems	system	NOUN
eajbcs-1073	557	22	with	with	ADP
eajbcs-1073	557	23	applications	application	NOUN
eajbcs-1073	557	24	65	65	NUM
eajbcs-1073	557	25	,	,	PUNCT
eajbcs-1073	557	26	181–193	181–193	NUM
eajbcs-1073	557	27	.	.	PUNCT
eajbcs-1073	558	1	rukmani	rukmani	PROPN
eajbcs-1073	558	2	s.	s.	PROPN
eajbcs-1073	558	3	,	,	PUNCT
eajbcs-1073	558	4	porchelvi	porchelvi	PROPN
eajbcs-1073	558	5	r.s	r.s	PROPN
eajbcs-1073	558	6	.	.	PROPN
eajbcs-1073	558	7	1018	1018	NUM
eajbcs-1073	558	8	.	.	PUNCT
eajbcs-1073	559	1	goal	goal	NOUN
eajbcs-1073	559	2	programming	programming	NOUN
eajbcs-1073	559	3	approach	approach	NOUN
eajbcs-1073	559	4	in	in	ADP
eajbcs-1073	559	5	multi	multi	ADJ
eajbcs-1073	559	6	-	-	ADJ
eajbcs-1073	559	7	objective	objective	ADJ
eajbcs-1073	559	8	intuitionistic	intuitionistic	ADJ
eajbcs-1073	559	9	fuzzy	fuzzy	ADJ
eajbcs-1073	559	10	linear	linear	ADJ
eajbcs-1073	559	11	fractional	fractional	ADJ
eajbcs-1073	559	12	programming	programming	NOUN
eajbcs-1073	559	13	problem	problem	NOUN
eajbcs-1073	559	14	,	,	PUNCT
eajbcs-1073	559	15	international	international	ADJ
eajbcs-1073	559	16	journal	journal	NOUN
eajbcs-1073	559	17	of	of	ADP
eajbcs-1073	559	18	pure	pure	ADJ
eajbcs-1073	559	19	and	and	CCONJ
eajbcs-1073	559	20	applied	applied	ADJ
eajbcs-1073	559	21	mathematics	mathematic	NOUN
eajbcs-1073	559	22	,	,	PUNCT
eajbcs-1073	559	23	118	118	NUM
eajbcs-1073	559	24	(	(	PUNCT
eajbcs-1073	559	25	6	6	NUM
eajbcs-1073	559	26	)	)	PUNCT
eajbcs-1073	559	27	,	,	PUNCT
eajbcs-1073	559	28	541	541	NUM
eajbcs-1073	559	29	-	-	SYM
eajbcs-1073	559	30	549	549	NUM
eajbcs-1073	559	31	.	.	PUNCT
eajbcs-1073	559	32	rukmani	rukmani	PROPN
eajbcs-1073	559	33	s.	s.	PROPN
eajbcs-1073	559	34	,	,	PUNCT
eajbcs-1073	559	35	porchelvi	porchelvi	PROPN
eajbcs-1073	559	36	r.s	r.s	PROPN
eajbcs-1073	559	37	.	.	PROPN
eajbcs-1073	559	38	,	,	PUNCT
eajbcs-1073	559	39	2018	2018	NUM
eajbcs-1073	559	40	.	.	PUNCT
eajbcs-1073	560	1	goal	goal	NOUN
eajbcs-1073	560	2	programming	programming	NOUN
eajbcs-1073	560	3	approach	approach	NOUN
eajbcs-1073	560	4	to	to	PART
eajbcs-1073	560	5	solve	solve	VERB
eajbcs-1073	560	6	multiobjective	multiobjective	ADJ
eajbcs-1073	560	7	intuitionistic	intuitionistic	ADJ
eajbcs-1073	560	8	fuzzy	fuzzy	ADJ
eajbcs-1073	560	9	nonlinear	nonlinear	ADJ
eajbcs-1073	560	10	programming	programming	NOUN
eajbcs-1073	560	11	models	model	NOUN
eajbcs-1073	560	12	,	,	PUNCT
eajbcs-1073	560	13	international	international	ADJ
eajbcs-1073	560	14	journal	journal	NOUN
eajbcs-1073	560	15	of	of	ADP
eajbcs-1073	560	16	mathematics	mathematics	NOUN
eajbcs-1073	560	17	trends	trend	NOUN
eajbcs-1073	560	18	and	and	CCONJ
eajbcs-1073	560	19	technology	technology	NOUN
eajbcs-1073	560	20	(	(	PUNCT
eajbcs-1073	560	21	ijmtt	ijmtt	ADJ
eajbcs-1073	560	22	)	)	PUNCT
eajbcs-1073	560	23	,	,	PUNCT
eajbcs-1073	560	24	53	53	NUM
eajbcs-1073	560	25	(	(	PUNCT
eajbcs-1073	560	26	7	7	NUM
eajbcs-1073	560	27	)	)	PUNCT
eajbcs-1073	560	28	,	,	PUNCT
eajbcs-1073	560	29	1	1	NUM
eajbcs-1073	560	30	-	-	SYM
eajbcs-1073	560	31	11	11	NUM
eajbcs-1073	560	32	.	.	PUNCT
eajbcs-1073	561	1	sharma	sharma	PROPN
eajbcs-1073	561	2	d.k	d.k	PROPN
eajbcs-1073	561	3	.	.	PROPN
eajbcs-1073	561	4	,	,	PUNCT
eajbcs-1073	561	5	jana	jana	PROPN
eajbcs-1073	561	6	r.	r.	PROPN
eajbcs-1073	561	7	k.	k.	PROPN
eajbcs-1073	561	8	,	,	PUNCT
eajbcs-1073	561	9	gaur	gaur	PROPN
eajbcs-1073	561	10	a.	a.	PROPN
eajbcs-1073	561	11	2007	2007	NUM
eajbcs-1073	561	12	.	.	PUNCT
eajbcs-1073	562	1	fuzzy	fuzzy	ADJ
eajbcs-1073	562	2	goal	goal	NOUN
eajbcs-1073	562	3	programming	programming	NOUN
eajbcs-1073	562	4	for	for	ADP
eajbcs-1073	562	5	agricultural	agricultural	ADJ
eajbcs-1073	562	6	land	land	NOUN
eajbcs-1073	562	7	allocation	allocation	NOUN
eajbcs-1073	562	8	problems	problem	NOUN
eajbcs-1073	562	9	in	in	ADP
eajbcs-1073	562	10	yugoslav	yugoslav	ADJ
eajbcs-1073	562	11	,	,	PUNCT
eajbcs-1073	562	12	journal	journal	NOUN
eajbcs-1073	562	13	of	of	ADP
eajbcs-1073	562	14	operations	operation	NOUN
eajbcs-1073	562	15	research	research	VERB
eajbcs-1073	562	16	17	17	NUM
eajbcs-1073	562	17	(	(	PUNCT
eajbcs-1073	562	18	1	1	NUM
eajbcs-1073	562	19	)	)	PUNCT
eajbcs-1073	562	20	,	,	PUNCT
eajbcs-1073	562	21	31	31	NUM
eajbcs-1073	562	22	-	-	SYM
eajbcs-1073	562	23	42	42	NUM
eajbcs-1073	562	24	.	.	PUNCT
eajbcs-1073	563	1	sharma	sharma	PROPN
eajbcs-1073	563	2	k.	k.	PROPN
eajbcs-1073	563	3	,	,	PUNCT
eajbcs-1073	563	4	singh	singh	PROPN
eajbcs-1073	563	5	v.p	v.p	PROPN
eajbcs-1073	563	6	.	.	PROPN
eajbcs-1073	563	7	,	,	PUNCT
eajbcs-1073	563	8	ebrahimnejad	ebrahimnejad	PROPN
eajbcs-1073	563	9	a.	a.	PROPN
eajbcs-1073	563	10	,	,	PUNCT
eajbcs-1073	563	11	chakraborty	chakraborty	PROPN
eajbcs-1073	563	12	d.	d.	PROPN
eajbcs-1073	563	13	2023	2023	NUM
eajbcs-1073	563	14	.	.	PUNCT
eajbcs-1073	564	1	solving	solve	VERB
eajbcs-1073	564	2	a	a	DET
eajbcs-1073	564	3	multiobjective	multiobjective	ADJ
eajbcs-1073	564	4	chance	chance	NOUN
eajbcs-1073	564	5	constrained	constrain	VERB
eajbcs-1073	564	6	hierarchical	hierarchical	ADJ
eajbcs-1073	564	7	optimization	optimization	NOUN
eajbcs-1073	564	8	problem	problem	NOUN
eajbcs-1073	564	9	under	under	ADP
eajbcs-1073	564	10	intuitionistic	intuitionistic	ADJ
eajbcs-1073	564	11	fuzzy	fuzzy	ADJ
eajbcs-1073	564	12	environment	environment	NOUN
eajbcs-1073	564	13	with	with	ADP
eajbcs-1073	564	14	its	its	PRON
eajbcs-1073	564	15	application	application	NOUN
eajbcs-1073	564	16	,	,	PUNCT
eajbcs-1073	564	17	expert	expert	NOUN
eajbcs-1073	564	18	systems	system	NOUN
eajbcs-1073	564	19	with	with	ADP
eajbcs-1073	564	20	applications	application	NOUN
eajbcs-1073	564	21	,	,	PUNCT
eajbcs-1073	564	22	217,119595	217,119595	NUM
eajbcs-1073	564	23	.	.	PUNCT
eajbcs-1073	565	1	singh	singh	PROPN
eajbcs-1073	565	2	s.k	s.k	PROPN
eajbcs-1073	565	3	.	.	PROPN
eajbcs-1073	565	4	,	,	PUNCT
eajbcs-1073	565	5	yadav	yadav	PROPN
eajbcs-1073	565	6	s.p	s.p	PROPN
eajbcs-1073	565	7	.	.	PROPN
eajbcs-1073	565	8	2015	2015	NUM
eajbcs-1073	565	9	.	.	PUNCT
eajbcs-1073	566	1	modeling	modeling	NOUN
eajbcs-1073	566	2	and	and	CCONJ
eajbcs-1073	566	3	optimization	optimization	NOUN
eajbcs-1073	566	4	of	of	ADP
eajbcs-1073	566	5	multi	multi	PROPN
eajbcs-1073	566	6	objective	objective	ADJ
eajbcs-1073	566	7	nonlinear	nonlinear	ADJ
eajbcs-1073	566	8	programming	programming	NOUN
eajbcs-1073	566	9	problem	problem	NOUN
eajbcs-1073	566	10	in	in	ADP
eajbcs-1073	566	11	intuitionistic	intuitionistic	ADJ
eajbcs-1073	566	12	fuzzy	fuzzy	ADJ
eajbcs-1073	566	13	environment	environment	NOUN
eajbcs-1073	566	14	.	.	PUNCT
eajbcs-1073	567	1	applied	apply	VERB
eajbcs-1073	567	2	mathematical	mathematical	ADJ
eajbcs-1073	567	3	modelling	model	VERB
eajbcs-1073	567	4	39	39	NUM
eajbcs-1073	567	5	,	,	PUNCT
eajbcs-1073	567	6	4617–4629	4617–4629	NUM
eajbcs-1073	567	7	.	.	PUNCT
eajbcs-1073	567	8	stanojević	stanojević	PROPN
eajbcs-1073	567	9	m.	m.	NOUN
eajbcs-1073	567	10	,	,	PUNCT
eajbcs-1073	567	11	stanojević	stanojević	NOUN
eajbcs-1073	567	12	b.	b.	PROPN
eajbcs-1073	567	13	2009	2009	NUM
eajbcs-1073	567	14	.	.	PUNCT
eajbcs-1073	568	1	penalty	penalty	NOUN
eajbcs-1073	568	2	method	method	NOUN
eajbcs-1073	568	3	for	for	ADP
eajbcs-1073	568	4	fuzzy	fuzzy	ADJ
eajbcs-1073	568	5	linear	linear	ADJ
eajbcs-1073	568	6	programming	programming	NOUN
eajbcs-1073	568	7	with	with	ADP
eajbcs-1073	568	8	trapezoidal	trapezoidal	ADJ
eajbcs-1073	568	9	numbers	number	NOUN
eajbcs-1073	568	10	,	,	PUNCT
eajbcs-1073	568	11	yugoslav	yugoslav	ADJ
eajbcs-1073	568	12	journal	journal	PROPN
eajbcs-1073	568	13	of	of	ADP
eajbcs-1073	568	14	operations	operation	NOUN
eajbcs-1073	568	15	research	research	NOUN
eajbcs-1073	568	16	,	,	PUNCT
eajbcs-1073	568	17	19	19	NUM
eajbcs-1073	568	18	(	(	PUNCT
eajbcs-1073	568	19	1	1	NUM
eajbcs-1073	568	20	)	)	PUNCT
eajbcs-1073	568	21	,	,	PUNCT
eajbcs-1073	568	22	149	149	NUM
eajbcs-1073	568	23	-	-	SYM
eajbcs-1073	568	24	156	156	NUM
eajbcs-1073	568	25	.	.	PUNCT
eajbcs-1073	569	1	tadesse	tadesse	PROPN
eajbcs-1073	569	2	a.	a.	PROPN
eajbcs-1073	569	3	,	,	PUNCT
eajbcs-1073	569	4	acharya	acharya	PROPN
eajbcs-1073	569	5	s.	s.	PROPN
eajbcs-1073	569	6	,	,	PUNCT
eajbcs-1073	569	7	belay	belay	NOUN
eajbcs-1073	569	8	b.	b.	PROPN
eajbcs-1073	569	9	2023	2023	NUM
eajbcs-1073	569	10	.	.	PUNCT
eajbcs-1073	570	1	fuzzy	fuzzy	ADJ
eajbcs-1073	570	2	programming	programming	NOUN
eajbcs-1073	570	3	approach	approach	NOUN
eajbcs-1073	570	4	to	to	PART
eajbcs-1073	570	5	solve	solve	VERB
eajbcs-1073	570	6	multiobjective	multiobjective	ADJ
eajbcs-1073	570	7	fully	fully	ADV
eajbcs-1073	570	8	fuzzy	fuzzy	ADJ
eajbcs-1073	570	9	transportation	transportation	NOUN
eajbcs-1073	570	10	problem	problem	NOUN
eajbcs-1073	570	11	,	,	PUNCT
eajbcs-1073	570	12	east	east	PROPN
eajbcs-1073	570	13	afr	afr	PROPN
eajbcs-1073	570	14	.	.	PUNCT
eajbcs-1073	571	1	j.	j.	PROPN
eajbcs-1073	571	2	biophys	biophys	PROPN
eajbcs-1073	571	3	.	.	PUNCT
eajbcs-1073	572	1	comput	comput	NOUN
eajbcs-1073	572	2	.	.	PUNCT
eajbcs-1073	573	1	sci	sci	PROPN
eajbcs-1073	573	2	.	.	PROPN
eajbcs-1073	573	3	,	,	PUNCT
eajbcs-1073	573	4	vol	vol	NOUN
eajbcs-1073	573	5	.	.	PROPN
eajbcs-1073	573	6	4	4	NUM
eajbcs-1073	573	7	,	,	PUNCT
eajbcs-1073	573	8	issue	issue	NOUN
eajbcs-1073	573	9	.	.	PUNCT
eajbcs-1073	574	1	2	2	NUM
eajbcs-1073	574	2	,	,	PUNCT
eajbcs-1073	574	3	43	43	NUM
eajbcs-1073	574	4	-	-	SYM
eajbcs-1073	574	5	53	53	NUM
eajbcs-1073	574	6	.	.	PUNCT
eajbcs-1073	574	7	tsegaye	tsegaye	VERB
eajbcs-1073	574	8	h.	h.	PROPN
eajbcs-1073	574	9	,	,	PUNCT
eajbcs-1073	574	10	thillaigovindan	thillaigovindan	PROPN
eajbcs-1073	574	11	n.	n.	PROPN
eajbcs-1073	574	12	,	,	PUNCT
eajbcs-1073	574	13	alemayehu	alemayehu	PROPN
eajbcs-1073	574	14	g.	g.	PROPN
eajbcs-1073	574	15	2021	2021	NUM
eajbcs-1073	574	16	.	.	PUNCT
eajbcs-1073	575	1	an	an	DET
eajbcs-1073	575	2	efficient	efficient	ADJ
eajbcs-1073	575	3	method	method	NOUN
eajbcs-1073	575	4	for	for	ADP
eajbcs-1073	575	5	solving	solve	VERB
eajbcs-1073	575	6	intuitionistic	intuitionistic	ADJ
eajbcs-1073	575	7	fuzzy	fuzzy	ADJ
eajbcs-1073	575	8	multi	multi	ADJ
eajbcs-1073	575	9	-	-	ADJ
eajbcs-1073	575	10	objective	objective	ADJ
eajbcs-1073	575	11	optimization	optimization	NOUN
eajbcs-1073	575	12	problems	problem	NOUN
eajbcs-1073	575	13	,	,	PUNCT
eajbcs-1073	575	14	punjab	punjab	PROPN
eajbcs-1073	575	15	university	university	NOUN
eajbcs-1073	575	16	journal	journal	NOUN
eajbcs-1073	575	17	of	of	ADP
eajbcs-1073	575	18	mathematics,53(9	mathematics,53(9	PROPN
eajbcs-1073	575	19	)	)	PUNCT
eajbcs-1073	575	20	,	,	PUNCT
eajbcs-1073	575	21	631	631	NUM
eajbcs-1073	575	22	-	-	PUNCT
eajbcs-1073	575	23	664	664	NUM
eajbcs-1073	575	24	.	.	PUNCT
eajbcs-1073	576	1	werners	werners	PROPN
eajbcs-1073	576	2	b.m	b.m	PROPN
eajbcs-1073	576	3	.	.	PROPN
eajbcs-1073	576	4	1998	1998	NUM
eajbcs-1073	576	5	.	.	PUNCT
eajbcs-1073	577	1	aggregation	aggregation	NOUN
eajbcs-1073	577	2	models	model	NOUN
eajbcs-1073	577	3	in	in	ADP
eajbcs-1073	577	4	mathematical	mathematical	ADJ
eajbcs-1073	577	5	programming	programming	NOUN
eajbcs-1073	577	6	:	:	PUNCT
eajbcs-1073	577	7	mathematical	mathematical	ADJ
eajbcs-1073	577	8	models	model	NOUN
eajbcs-1073	577	9	for	for	ADP
eajbcs-1073	577	10	decision	decision	NOUN
eajbcs-1073	577	11	supports	support	NOUN
eajbcs-1073	577	12	,	,	PUNCT
eajbcs-1073	577	13	springer	springer	NOUN
eajbcs-1073	577	14	berlin	berlin	PROPN
eajbcs-1073	577	15	heldelberg	heldelberg	PROPN
eajbcs-1073	577	16	,	,	PUNCT
eajbcs-1073	577	17	295	295	NUM
eajbcs-1073	577	18	-	-	SYM
eajbcs-1073	577	19	305	305	NUM
eajbcs-1073	577	20	.	.	PUNCT
eajbcs-1073	578	1	wu	wu	PROPN
eajbcs-1073	578	2	y.k	y.k	PROPN
eajbcs-1073	578	3	.	.	PROPN
eajbcs-1073	578	4	,	,	PUNCT
eajbcs-1073	578	5	guu	guu	PROPN
eajbcs-1073	578	6	s.m	s.m	PROPN
eajbcs-1073	578	7	.	.	PROPN
eajbcs-1073	578	8	2001	2001	NUM
eajbcs-1073	578	9	.	.	PUNCT
eajbcs-1073	579	1	a	a	DET
eajbcs-1073	579	2	compromise	compromise	NOUN
eajbcs-1073	579	3	model	model	NOUN
eajbcs-1073	579	4	for	for	ADP
eajbcs-1073	579	5	solving	solve	VERB
eajbcs-1073	579	6	fuzzy	fuzzy	ADJ
eajbcs-1073	579	7	multi	multi	ADJ
eajbcs-1073	579	8	objective	objective	ADJ
eajbcs-1073	579	9	linear	linear	ADJ
eajbcs-1073	579	10	programming	programming	NOUN
eajbcs-1073	579	11	problems	problem	NOUN
eajbcs-1073	579	12	,	,	PUNCT
eajbcs-1073	579	13	journal	journal	NOUN
eajbcs-1073	579	14	of	of	ADP
eajbcs-1073	579	15	the	the	DET
eajbcs-1073	579	16	chinese	chinese	PROPN
eajbcs-1073	579	17	institute	institute	PROPN
eajbcs-1073	579	18	of	of	ADP
eajbcs-1073	579	19	industrial	industrial	ADJ
eajbcs-1073	579	20	engineers	engineer	NOUN
eajbcs-1073	579	21	,	,	PUNCT
eajbcs-1073	579	22	vol	vol	NOUN
eajbcs-1073	579	23	.	.	PROPN
eajbcs-1073	579	24	18	18	NUM
eajbcs-1073	579	25	,	,	PUNCT
eajbcs-1073	579	26	no	no	INTJ
eajbcs-1073	579	27	.	.	NOUN
eajbcs-1073	579	28	5	5	NUM
eajbcs-1073	579	29	,	,	PUNCT
eajbcs-1073	579	30	pp	pp	ADJ
eajbcs-1073	579	31	.	.	PUNCT
eajbcs-1073	580	1	87	87	NUM
eajbcs-1073	580	2	-	-	SYM
eajbcs-1073	580	3	93	93	NUM
eajbcs-1073	580	4	.	.	PUNCT
eajbcs-1073	581	1	yager	yager	PROPN
eajbcs-1073	581	2	r.r	r.r	PROPN
eajbcs-1073	581	3	.	.	PROPN
eajbcs-1073	581	4	2009	2009	NUM
eajbcs-1073	581	5	.	.	PUNCT
eajbcs-1073	582	1	intuitionistic	intuitionistic	ADJ
eajbcs-1073	582	2	fuzzy	fuzzy	ADJ
eajbcs-1073	582	3	sets	set	NOUN
eajbcs-1073	582	4	,	,	PUNCT
eajbcs-1073	582	5	fuzzy	fuzzy	ADJ
eajbcs-1073	582	6	optimization	optimization	NOUN
eajbcs-1073	582	7	and	and	CCONJ
eajbcs-1073	582	8	decision	decision	NOUN
eajbcs-1073	582	9	making	making	NOUN
eajbcs-1073	582	10	,	,	PUNCT
eajbcs-1073	582	11	8	8	NUM
eajbcs-1073	582	12	(	(	PUNCT
eajbcs-1073	582	13	1	1	NUM
eajbcs-1073	582	14	)	)	PUNCT
eajbcs-1073	582	15	,	,	PUNCT
eajbcs-1073	582	16	67	67	NUM
eajbcs-1073	582	17	-	-	SYM
eajbcs-1073	582	18	90	90	NUM
eajbcs-1073	582	19	.	.	PUNCT
eajbcs-1073	583	1	zimmermann	zimmermann	PROPN
eajbcs-1073	583	2	h.j	h.j	PROPN
eajbcs-1073	583	3	.	.	PROPN
eajbcs-1073	583	4	2001	2001	NUM
eajbcs-1073	583	5	.	.	PUNCT
eajbcs-1073	584	1	fuzzy	fuzzy	ADJ
eajbcs-1073	584	2	set	set	VERB
eajbcs-1073	584	3	theory	theory	NOUN
eajbcs-1073	584	4	and	and	CCONJ
eajbcs-1073	584	5	its	its	PRON
eajbcs-1073	584	6	applications	application	NOUN
eajbcs-1073	584	7	,	,	PUNCT
eajbcs-1073	584	8	springer	springer	NOUN
eajbcs-1073	584	9	seience	seience	NOUN
eajbcs-1073	584	10	and	and	CCONJ
eajbcs-1073	584	11	business	business	NOUN
eajbcs-1073	584	12	media	medium	NOUN
eajbcs-1073	584	13	,	,	PUNCT
eajbcs-1073	584	14	new	new	PROPN
eajbcs-1073	584	15	york	york	PROPN
eajbcs-1073	584	16	.	.	PUNCT
eajbcs-1073	585	1	east	east	PROPN
eajbcs-1073	585	2	afr	afr	PROPN
eajbcs-1073	585	3	.	.	PUNCT
eajbcs-1073	586	1	j.	j.	PROPN
eajbcs-1073	586	2	biophys	biophys	PROPN
eajbcs-1073	586	3	.	.	PUNCT
eajbcs-1073	587	1	comput	comput	NOUN
eajbcs-1073	587	2	.	.	PUNCT
eajbcs-1073	588	1	sci	sci	PROPN
eajbcs-1073	588	2	.	.	PUNCT
eajbcs-1073	589	1	(	(	PUNCT
eajbcs-1073	589	2	2024	2024	NUM
eajbcs-1073	589	3	)	)	PUNCT
eajbcs-1073	589	4	,	,	PUNCT
eajbcs-1073	589	5	vol	vol	NOUN
eajbcs-1073	589	6	.	.	PROPN
eajbcs-1073	589	7	5	5	NUM
eajbcs-1073	589	8	,	,	PUNCT
eajbcs-1073	589	9	no	no	INTJ
eajbcs-1073	589	10	.	.	NOUN
eajbcs-1073	589	11	2	2	NUM
eajbcs-1073	589	12	,	,	PUNCT
eajbcs-1073	589	13	41	41	NUM
eajbcs-1073	589	14	-	-	SYM
eajbcs-1073	589	15	57	57	NUM
eajbcs-1073	589	16	57	57	NUM
eajbcs-1073	589	17	introduction	introduction	NOUN
eajbcs-1073	589	18	mathematical	mathematical	ADJ
eajbcs-1073	589	19	model	model	NOUN
eajbcs-1073	589	20	formulation	formulation	NOUN
eajbcs-1073	589	21	the	the	DET
eajbcs-1073	589	22	modified	modify	VERB
eajbcs-1073	589	23	mathematical	mathematical	ADJ
eajbcs-1073	589	24	model	model	NOUN
eajbcs-1073	589	25	model	model	NOUN
eajbcs-1073	589	26	formulation	formulation	NOUN
eajbcs-1073	589	27	qualitative	qualitative	NOUN
eajbcs-1073	589	28	analysis	analysis	NOUN
eajbcs-1073	589	29	of	of	ADP
eajbcs-1073	589	30	the	the	DET
eajbcs-1073	589	31	modified	modify	VERB
eajbcs-1073	589	32	model	model	NOUN
eajbcs-1073	589	33	well	well	ADV
eajbcs-1073	589	34	-	-	PUNCT
eajbcs-1073	589	35	posedness	posedness	NOUN
eajbcs-1073	589	36	steady	steady	ADJ
eajbcs-1073	589	37	state	state	NOUN
eajbcs-1073	589	38	basic	basic	ADJ
eajbcs-1073	589	39	reproduction	reproduction	NOUN
eajbcs-1073	589	40	number	number	NOUN
eajbcs-1073	589	41	local	local	ADJ
eajbcs-1073	589	42	stability	stability	NOUN
eajbcs-1073	589	43	of	of	ADP
eajbcs-1073	589	44	disease	disease	NOUN
eajbcs-1073	589	45	free	free	ADJ
eajbcs-1073	589	46	equilibrium	equilibrium	NOUN
eajbcs-1073	589	47	global	global	ADJ
eajbcs-1073	589	48	stability	stability	NOUN
eajbcs-1073	589	49	of	of	ADP
eajbcs-1073	589	50	disease	disease	NOUN
eajbcs-1073	589	51	free	free	ADJ
eajbcs-1073	589	52	equilibrium	equilibrium	NOUN
eajbcs-1073	589	53	endemic	endemic	ADJ
eajbcs-1073	589	54	equilibrium	equilibrium	NOUN
eajbcs-1073	589	55	point	point	NOUN
eajbcs-1073	589	56	local	local	ADJ
eajbcs-1073	589	57	stability	stability	NOUN
eajbcs-1073	589	58	of	of	ADP
eajbcs-1073	589	59	endemic	endemic	ADJ
eajbcs-1073	589	60	equilibrium	equilibrium	NOUN
eajbcs-1073	589	61	bifurcation	bifurcation	NOUN
eajbcs-1073	589	62	analysis	analysis	NOUN
eajbcs-1073	589	63	sensitivity	sensitivity	NOUN
eajbcs-1073	589	64	analysis	analysis	NOUN
eajbcs-1073	589	65	numerical	numerical	ADJ
eajbcs-1073	589	66	simulations	simulation	NOUN
eajbcs-1073	589	67	and	and	CCONJ
eajbcs-1073	589	68	discussion	discussion	NOUN
eajbcs-1073	589	69	extension	extension	NOUN
eajbcs-1073	589	70	of	of	ADP
eajbcs-1073	589	71	the	the	DET
eajbcs-1073	589	72	modified	modified	ADJ
eajbcs-1073	589	73	model	model	NOUN
eajbcs-1073	589	74	into	into	ADP
eajbcs-1073	589	75	an	an	DET
eajbcs-1073	589	76	optimal	optimal	ADJ
eajbcs-1073	589	77	control	control	NOUN
eajbcs-1073	589	78	optimal	optimal	ADJ
eajbcs-1073	589	79	protection	protection	NOUN
eajbcs-1073	589	80	and	and	CCONJ
eajbcs-1073	589	81	hospitalization	hospitalization	NOUN
eajbcs-1073	589	82	using	use	VERB
eajbcs-1073	589	83	modified	modified	ADJ
eajbcs-1073	589	84	model	model	NOUN
eajbcs-1073	589	85	existence	existence	NOUN
eajbcs-1073	589	86	of	of	ADP
eajbcs-1073	589	87	an	an	DET
eajbcs-1073	589	88	optimal	optimal	ADJ
eajbcs-1073	589	89	control	control	NOUN
eajbcs-1073	589	90	the	the	DET
eajbcs-1073	589	91	hamiltonian	hamiltonian	ADJ
eajbcs-1073	589	92	and	and	CCONJ
eajbcs-1073	589	93	optimality	optimality	NOUN
eajbcs-1073	589	94	system	system	NOUN
eajbcs-1073	589	95	numerical	numerical	ADJ
eajbcs-1073	589	96	simulations	simulation	NOUN
eajbcs-1073	589	97	of	of	ADP
eajbcs-1073	589	98	optimal	optimal	ADJ
eajbcs-1073	589	99	control	control	NOUN
eajbcs-1073	589	100	problem	problem	NOUN
eajbcs-1073	589	101	optimal	optimal	ADJ
eajbcs-1073	589	102	control	control	NOUN
eajbcs-1073	589	103	comparisons	comparison	NOUN
eajbcs-1073	589	104	and	and	CCONJ
eajbcs-1073	589	105	strategies	strategy	NOUN
eajbcs-1073	589	106	conclusion	conclusion	NOUN
eajbcs-1073	589	107	introduction	introduction	NOUN
eajbcs-1073	589	108	preliminaries	preliminary	NOUN
eajbcs-1073	589	109	intuitionistic	intuitionistic	ADJ
eajbcs-1073	589	110	fuzzy	fuzzy	ADJ
eajbcs-1073	589	111	set	set	VERB
eajbcs-1073	589	112	operations	operation	NOUN
eajbcs-1073	589	113	over	over	ADP
eajbcs-1073	589	114	intuitionistic	intuitionistic	ADJ
eajbcs-1073	589	115	fuzzy	fuzzy	ADJ
eajbcs-1073	589	116	sets	set	NOUN
eajbcs-1073	589	117	multi	multi	ADJ
eajbcs-1073	589	118	-	-	ADJ
eajbcs-1073	589	119	objective	objective	ADJ
eajbcs-1073	589	120	programming	programming	NOUN
eajbcs-1073	589	121	problem	problem	NOUN
eajbcs-1073	589	122	mathematical	mathematical	ADJ
eajbcs-1073	589	123	formulation	formulation	NOUN
eajbcs-1073	589	124	of	of	ADP
eajbcs-1073	589	125	problem	problem	NOUN
eajbcs-1073	589	126	intuitionistic	intuitionistic	ADJ
eajbcs-1073	589	127	fuzzy	fuzzy	ADJ
eajbcs-1073	589	128	multi	multi	ADJ
eajbcs-1073	589	129	-	-	ADJ
eajbcs-1073	589	130	objective	objective	ADJ
eajbcs-1073	589	131	linear	linear	ADJ
eajbcs-1073	589	132	decision	decision	NOUN
eajbcs-1073	589	133	-	-	PUNCT
eajbcs-1073	589	134	making	make	VERB
eajbcs-1073	589	135	problem	problem	NOUN
eajbcs-1073	589	136	intuitionistic	intuitionistic	ADJ
eajbcs-1073	589	137	fuzzy	fuzzy	ADJ
eajbcs-1073	589	138	goal	goal	NOUN
eajbcs-1073	589	139	model	model	NOUN
eajbcs-1073	589	140	of	of	ADP
eajbcs-1073	589	141	if	if	SCONJ
eajbcs-1073	589	142	-	-	PUNCT
eajbcs-1073	589	143	moldmp	moldmp	NOUN
eajbcs-1073	589	144	proposed	propose	VERB
eajbcs-1073	589	145	solution	solution	NOUN
eajbcs-1073	589	146	method	method	NOUN
eajbcs-1073	589	147	extended	extend	VERB
eajbcs-1073	589	148	yager	yager	NOUN
eajbcs-1073	589	149	-	-	PUNCT
eajbcs-1073	589	150	membership	membership	NOUN
eajbcs-1073	589	151	function	function	NOUN
eajbcs-1073	589	152	in	in	ADP
eajbcs-1073	589	153	the	the	DET
eajbcs-1073	589	154	ifde	ifde	NOUN
eajbcs-1073	589	155	develop	develop	VERB
eajbcs-1073	589	156	a	a	DET
eajbcs-1073	589	157	new	new	ADJ
eajbcs-1073	589	158	intuitionistic	intuitionistic	ADJ
eajbcs-1073	589	159	fuzzy	fuzzy	ADJ
eajbcs-1073	589	160	(	(	PUNCT
eajbcs-1073	589	161	if	if	SCONJ
eajbcs-1073	589	162	)	)	PUNCT
eajbcs-1073	589	163	aggregation	aggregation	NOUN
eajbcs-1073	589	164	operator	operator	NOUN
eajbcs-1073	589	165	the	the	DET
eajbcs-1073	589	166	intuitionistic	intuitionistic	ADJ
eajbcs-1073	589	167	fuzzy	fuzzy	ADJ
eajbcs-1073	589	168	goal	goal	NOUN
eajbcs-1073	589	169	programming	programming	NOUN
eajbcs-1073	589	170	method	method	NOUN
eajbcs-1073	589	171	interactive	interactive	ADJ
eajbcs-1073	589	172	penalty	penalty	NOUN
eajbcs-1073	589	173	function	function	NOUN
eajbcs-1073	589	174	method	method	NOUN
eajbcs-1073	589	175	(	(	PUNCT
eajbcs-1073	589	176	ipfm	ipfm	NOUN
eajbcs-1073	589	177	)	)	PUNCT
eajbcs-1073	589	178	algorithm	algorithm	NOUN
eajbcs-1073	589	179	for	for	ADP
eajbcs-1073	589	180	penalized	penalize	VERB
eajbcs-1073	589	181	ifgp	ifgp	PROPN
eajbcs-1073	589	182	method	method	PROPN
eajbcs-1073	589	183	numerical	numerical	PROPN
eajbcs-1073	589	184	example	example	NOUN
eajbcs-1073	589	185	results	result	NOUN
eajbcs-1073	589	186	and	and	CCONJ
eajbcs-1073	589	187	discussion	discussion	NOUN
eajbcs-1073	589	188	conclusion	conclusion	NOUN
eajbcs-1073	589	189	introduction	introduction	NOUN
eajbcs-1073	589	190	mathematical	mathematical	ADJ
eajbcs-1073	589	191	model	model	NOUN
eajbcs-1073	589	192	formulation	formulation	NOUN
eajbcs-1073	589	193	the	the	DET
eajbcs-1073	589	194	modified	modify	VERB
eajbcs-1073	589	195	mathematical	mathematical	ADJ
eajbcs-1073	589	196	model	model	NOUN
eajbcs-1073	589	197	model	model	NOUN
eajbcs-1073	589	198	formulation	formulation	NOUN
eajbcs-1073	589	199	qualitative	qualitative	NOUN
eajbcs-1073	589	200	analysis	analysis	NOUN
eajbcs-1073	589	201	of	of	ADP
eajbcs-1073	589	202	the	the	DET
eajbcs-1073	589	203	modified	modify	VERB
eajbcs-1073	589	204	model	model	NOUN
eajbcs-1073	589	205	well	well	ADV
eajbcs-1073	589	206	-	-	PUNCT
eajbcs-1073	589	207	posedness	posedness	NOUN
eajbcs-1073	589	208	steady	steady	ADJ
eajbcs-1073	589	209	state	state	NOUN
eajbcs-1073	589	210	basic	basic	ADJ
eajbcs-1073	589	211	reproduction	reproduction	NOUN
eajbcs-1073	589	212	number	number	NOUN
eajbcs-1073	589	213	local	local	ADJ
eajbcs-1073	589	214	stability	stability	NOUN
eajbcs-1073	589	215	of	of	ADP
eajbcs-1073	589	216	disease	disease	NOUN
eajbcs-1073	589	217	free	free	ADJ
eajbcs-1073	589	218	equilibrium	equilibrium	NOUN
eajbcs-1073	589	219	global	global	ADJ
eajbcs-1073	589	220	stability	stability	NOUN
eajbcs-1073	589	221	of	of	ADP
eajbcs-1073	589	222	disease	disease	NOUN
eajbcs-1073	589	223	free	free	ADJ
eajbcs-1073	589	224	equilibrium	equilibrium	NOUN
eajbcs-1073	589	225	endemic	endemic	ADJ
eajbcs-1073	589	226	equilibrium	equilibrium	NOUN
eajbcs-1073	589	227	point	point	NOUN
eajbcs-1073	589	228	local	local	ADJ
eajbcs-1073	589	229	stability	stability	NOUN
eajbcs-1073	589	230	of	of	ADP
eajbcs-1073	589	231	endemic	endemic	ADJ
eajbcs-1073	589	232	equilibrium	equilibrium	NOUN
eajbcs-1073	589	233	bifurcation	bifurcation	NOUN
eajbcs-1073	589	234	analysis	analysis	NOUN
eajbcs-1073	589	235	sensitivity	sensitivity	NOUN
eajbcs-1073	589	236	analysis	analysis	NOUN
eajbcs-1073	589	237	numerical	numerical	ADJ
eajbcs-1073	589	238	simulations	simulation	NOUN
eajbcs-1073	589	239	and	and	CCONJ
eajbcs-1073	589	240	discussion	discussion	NOUN
eajbcs-1073	589	241	extension	extension	NOUN
eajbcs-1073	589	242	of	of	ADP
eajbcs-1073	589	243	the	the	DET
eajbcs-1073	589	244	modified	modified	ADJ
eajbcs-1073	589	245	model	model	NOUN
eajbcs-1073	589	246	into	into	ADP
eajbcs-1073	589	247	an	an	DET
eajbcs-1073	589	248	optimal	optimal	ADJ
eajbcs-1073	589	249	control	control	NOUN
eajbcs-1073	589	250	optimal	optimal	ADJ
eajbcs-1073	589	251	protection	protection	NOUN
eajbcs-1073	589	252	and	and	CCONJ
eajbcs-1073	589	253	hospitalization	hospitalization	NOUN
eajbcs-1073	589	254	using	use	VERB
eajbcs-1073	589	255	modified	modified	ADJ
eajbcs-1073	589	256	model	model	NOUN
eajbcs-1073	589	257	existence	existence	NOUN
eajbcs-1073	589	258	of	of	ADP
eajbcs-1073	589	259	an	an	DET
eajbcs-1073	589	260	optimal	optimal	ADJ
eajbcs-1073	589	261	control	control	NOUN
eajbcs-1073	589	262	the	the	DET
eajbcs-1073	589	263	hamiltonian	hamiltonian	ADJ
eajbcs-1073	589	264	and	and	CCONJ
eajbcs-1073	589	265	optimality	optimality	NOUN
eajbcs-1073	589	266	system	system	NOUN
eajbcs-1073	589	267	numerical	numerical	ADJ
eajbcs-1073	589	268	simulations	simulation	NOUN
eajbcs-1073	589	269	of	of	ADP
eajbcs-1073	589	270	optimal	optimal	ADJ
eajbcs-1073	589	271	control	control	NOUN
eajbcs-1073	589	272	problem	problem	NOUN
eajbcs-1073	589	273	optimal	optimal	ADJ
eajbcs-1073	589	274	control	control	NOUN
eajbcs-1073	589	275	comparisons	comparison	NOUN
eajbcs-1073	589	276	and	and	CCONJ
eajbcs-1073	589	277	strategies	strategy	NOUN
eajbcs-1073	589	278	conclusion	conclusion	NOUN