id	sid	tid	token	lemma	pos
ejpam-5162	1	1	european	european	PROPN
ejpam-5162	1	2	journal	journal	PROPN
ejpam-5162	1	3	of	of	ADP
ejpam-5162	1	4	pure	pure	ADJ
ejpam-5162	1	5	and	and	CCONJ
ejpam-5162	1	6	applied	apply	VERB
ejpam-5162	1	7	mathematics	mathematic	NOUN
ejpam-5162	1	8	vol	vol	NOUN
ejpam-5162	1	9	.	.	PROPN
ejpam-5162	2	1	17	17	NUM
ejpam-5162	2	2	,	,	PUNCT
ejpam-5162	2	3	no	no	INTJ
ejpam-5162	2	4	.	.	NOUN
ejpam-5162	2	5	2	2	NUM
ejpam-5162	2	6	,	,	PUNCT
ejpam-5162	2	7	2024	2024	NUM
ejpam-5162	2	8	,	,	PUNCT
ejpam-5162	2	9	1228	1228	NUM
ejpam-5162	2	10	-	-	SYM
ejpam-5162	2	11	1243	1243	NUM
ejpam-5162	2	12	issn	issn	PROPN
ejpam-5162	2	13	1307	1307	NUM
ejpam-5162	2	14	-	-	SYM
ejpam-5162	2	15	5543	5543	NUM
ejpam-5162	2	16	–	–	PUNCT
ejpam-5162	3	1	ejpam.com	ejpam.com	X
ejpam-5162	3	2	published	publish	VERB
ejpam-5162	3	3	by	by	ADP
ejpam-5162	3	4	new	new	PROPN
ejpam-5162	3	5	york	york	PROPN
ejpam-5162	3	6	business	business	PROPN
ejpam-5162	3	7	global	global	PROPN
ejpam-5162	3	8	the	the	DET
ejpam-5162	3	9	stochastic	stochastic	ADJ
ejpam-5162	3	10	transportation	transportation	NOUN
ejpam-5162	3	11	problem	problem	NOUN
ejpam-5162	3	12	with	with	ADP
ejpam-5162	3	13	imprecise	imprecise	ADJ
ejpam-5162	3	14	data	datum	NOUN
ejpam-5162	3	15	using	use	VERB
ejpam-5162	3	16	lomax	lomax	PROPN
ejpam-5162	3	17	distribution	distribution	NOUN
ejpam-5162	3	18	pullooru	pullooru	PROPN
ejpam-5162	3	19	bhavana1	bhavana1	PROPN
ejpam-5162	3	20	,	,	PUNCT
ejpam-5162	3	21	d	d	PROPN
ejpam-5162	3	22	kalpana	kalpana	PROPN
ejpam-5162	3	23	priya1,∗	priya1,∗	PROPN
ejpam-5162	3	24	1	1	NUM
ejpam-5162	3	25	department	department	NOUN
ejpam-5162	3	26	of	of	ADP
ejpam-5162	3	27	mathematics	mathematic	NOUN
ejpam-5162	3	28	,	,	PUNCT
ejpam-5162	3	29	sas	sas	PROPN
ejpam-5162	3	30	school	school	PROPN
ejpam-5162	3	31	,	,	PUNCT
ejpam-5162	3	32	vit	vit	PROPN
ejpam-5162	3	33	university	university	NOUN
ejpam-5162	3	34	,	,	PUNCT
ejpam-5162	3	35	vellore	vellore	PROPN
ejpam-5162	3	36	,	,	PUNCT
ejpam-5162	3	37	tn	tn	PROPN
ejpam-5162	3	38	,	,	PUNCT
ejpam-5162	3	39	india	india	PROPN
ejpam-5162	3	40	abstract	abstract	NOUN
ejpam-5162	3	41	.	.	PUNCT
ejpam-5162	4	1	the	the	DET
ejpam-5162	4	2	stochastic	stochastic	ADJ
ejpam-5162	4	3	transportation	transportation	NOUN
ejpam-5162	4	4	problem	problem	NOUN
ejpam-5162	4	5	with	with	ADP
ejpam-5162	4	6	imprecise	imprecise	ADJ
ejpam-5162	4	7	data	datum	NOUN
ejpam-5162	4	8	is	be	AUX
ejpam-5162	4	9	a	a	DET
ejpam-5162	4	10	probabilistic	probabilistic	ADJ
ejpam-5162	4	11	chanceconstrained	chanceconstraine	VERB
ejpam-5162	4	12	programming	programming	NOUN
ejpam-5162	4	13	(	(	PUNCT
ejpam-5162	4	14	ccp	ccp	PROPN
ejpam-5162	4	15	)	)	PUNCT
ejpam-5162	4	16	problem	problem	NOUN
ejpam-5162	4	17	in	in	ADP
ejpam-5162	4	18	which	which	PRON
ejpam-5162	4	19	the	the	DET
ejpam-5162	4	20	objective	objective	ADJ
ejpam-5162	4	21	function	function	NOUN
ejpam-5162	4	22	is	be	AUX
ejpam-5162	4	23	fuzzy	fuzzy	ADJ
ejpam-5162	4	24	and	and	CCONJ
ejpam-5162	4	25	the	the	DET
ejpam-5162	4	26	supply	supply	NOUN
ejpam-5162	4	27	and	and	CCONJ
ejpam-5162	4	28	demand	demand	NOUN
ejpam-5162	4	29	are	be	AUX
ejpam-5162	4	30	random	random	ADJ
ejpam-5162	4	31	.	.	PUNCT
ejpam-5162	5	1	three	three	NUM
ejpam-5162	5	2	models	model	NOUN
ejpam-5162	5	3	for	for	ADP
ejpam-5162	5	4	the	the	DET
ejpam-5162	5	5	stp	stp	PROPN
ejpam-5162	5	6	with	with	ADP
ejpam-5162	5	7	i	i	PROPN
ejpam-5162	5	8	d	d	PROPN
ejpam-5162	5	9	with	with	ADP
ejpam-5162	5	10	mixed	mixed	ADJ
ejpam-5162	5	11	-	-	PUNCT
ejpam-5162	5	12	type	type	NOUN
ejpam-5162	5	13	restrictions	restriction	NOUN
ejpam-5162	5	14	that	that	PRON
ejpam-5162	5	15	follow	follow	VERB
ejpam-5162	5	16	the	the	DET
ejpam-5162	5	17	lomax	lomax	PROPN
ejpam-5162	5	18	distribution	distribution	NOUN
ejpam-5162	5	19	(	(	PUNCT
ejpam-5162	5	20	ld	ld	NOUN
ejpam-5162	5	21	)	)	PUNCT
ejpam-5162	5	22	are	be	AUX
ejpam-5162	5	23	created	create	VERB
ejpam-5162	5	24	in	in	ADP
ejpam-5162	5	25	this	this	DET
ejpam-5162	5	26	research	research	NOUN
ejpam-5162	5	27	.	.	PUNCT
ejpam-5162	6	1	optimising	optimise	VERB
ejpam-5162	6	2	the	the	DET
ejpam-5162	6	3	transportation	transportation	NOUN
ejpam-5162	6	4	cost	cost	NOUN
ejpam-5162	6	5	in	in	ADP
ejpam-5162	6	6	ftp	ftp	NOUN
ejpam-5162	6	7	under	under	ADP
ejpam-5162	6	8	probabilistic	probabilistic	ADJ
ejpam-5162	6	9	mixed	mixed	ADJ
ejpam-5162	6	10	constraints	constraint	NOUN
ejpam-5162	6	11	is	be	AUX
ejpam-5162	6	12	the	the	DET
ejpam-5162	6	13	goal	goal	NOUN
ejpam-5162	6	14	of	of	ADP
ejpam-5162	6	15	the	the	DET
ejpam-5162	6	16	research	research	NOUN
ejpam-5162	6	17	project	project	NOUN
ejpam-5162	6	18	.	.	PUNCT
ejpam-5162	7	1	to	to	PART
ejpam-5162	7	2	do	do	VERB
ejpam-5162	7	3	this	this	PRON
ejpam-5162	7	4	,	,	PUNCT
ejpam-5162	7	5	the	the	DET
ejpam-5162	7	6	probabilistic	probabilistic	ADJ
ejpam-5162	7	7	mixed	mixed	ADJ
ejpam-5162	7	8	constraints	constraint	NOUN
ejpam-5162	7	9	are	be	AUX
ejpam-5162	7	10	transformed	transform	VERB
ejpam-5162	7	11	into	into	ADP
ejpam-5162	7	12	deterministic	deterministic	ADJ
ejpam-5162	7	13	form	form	NOUN
ejpam-5162	7	14	using	use	VERB
ejpam-5162	7	15	the	the	DET
ejpam-5162	7	16	ld	ld	NOUN
ejpam-5162	7	17	,	,	PUNCT
ejpam-5162	7	18	and	and	CCONJ
ejpam-5162	7	19	the	the	DET
ejpam-5162	7	20	cost	cost	NOUN
ejpam-5162	7	21	coefficient	coefficient	NOUN
ejpam-5162	7	22	of	of	ADP
ejpam-5162	7	23	the	the	DET
ejpam-5162	7	24	fuzzy	fuzzy	ADJ
ejpam-5162	7	25	objective	objective	ADJ
ejpam-5162	7	26	function	function	NOUN
ejpam-5162	7	27	is	be	AUX
ejpam-5162	7	28	changed	change	VERB
ejpam-5162	7	29	with	with	ADP
ejpam-5162	7	30	alpha	alpha	NOUN
ejpam-5162	7	31	cut	cut	NOUN
ejpam-5162	7	32	representation	representation	NOUN
ejpam-5162	7	33	.	.	PUNCT
ejpam-5162	8	1	numerical	numerical	ADJ
ejpam-5162	8	2	examples	example	NOUN
ejpam-5162	8	3	are	be	AUX
ejpam-5162	8	4	presented	present	VERB
ejpam-5162	8	5	to	to	PART
ejpam-5162	8	6	demonstrate	demonstrate	VERB
ejpam-5162	8	7	the	the	DET
ejpam-5162	8	8	suggested	suggest	VERB
ejpam-5162	8	9	models	model	NOUN
ejpam-5162	8	10	.	.	PUNCT
ejpam-5162	9	1	2020	2020	NUM
ejpam-5162	9	2	mathematics	mathematic	NOUN
ejpam-5162	9	3	subject	subject	NOUN
ejpam-5162	9	4	classifications	classification	NOUN
ejpam-5162	9	5	:	:	PUNCT
ejpam-5162	9	6	90b36	90b36	NUM
ejpam-5162	9	7	,	,	PUNCT
ejpam-5162	9	8	90c70	90c70	NUM
ejpam-5162	9	9	key	key	ADJ
ejpam-5162	9	10	words	word	NOUN
ejpam-5162	9	11	and	and	CCONJ
ejpam-5162	9	12	phrases	phrase	NOUN
ejpam-5162	9	13	:	:	PUNCT
ejpam-5162	9	14	stochastic	stochastic	ADJ
ejpam-5162	9	15	transportation	transportation	NOUN
ejpam-5162	9	16	problem	problem	NOUN
ejpam-5162	9	17	,	,	PUNCT
ejpam-5162	9	18	imprecise	imprecise	ADV
ejpam-5162	9	19	,	,	PUNCT
ejpam-5162	9	20	lomax	lomax	PROPN
ejpam-5162	9	21	,	,	PUNCT
ejpam-5162	9	22	mixed	mixed	ADJ
ejpam-5162	9	23	constraints	constraint	NOUN
ejpam-5162	9	24	1	1	NUM
ejpam-5162	9	25	.	.	PUNCT
ejpam-5162	9	26	introduction	introduction	NOUN
ejpam-5162	9	27	making	make	VERB
ejpam-5162	9	28	decisions	decision	NOUN
ejpam-5162	9	29	is	be	AUX
ejpam-5162	9	30	essential	essential	ADJ
ejpam-5162	9	31	in	in	ADP
ejpam-5162	9	32	many	many	ADJ
ejpam-5162	9	33	different	different	ADJ
ejpam-5162	9	34	fields	field	NOUN
ejpam-5162	9	35	.	.	PUNCT
ejpam-5162	10	1	the	the	DET
ejpam-5162	10	2	main	main	ADJ
ejpam-5162	10	3	goal	goal	NOUN
ejpam-5162	10	4	of	of	ADP
ejpam-5162	10	5	the	the	DET
ejpam-5162	10	6	transportation	transportation	NOUN
ejpam-5162	10	7	problem	problem	NOUN
ejpam-5162	10	8	(	(	PUNCT
ejpam-5162	10	9	tp	tp	NOUN
ejpam-5162	10	10	)	)	PUNCT
ejpam-5162	10	11	is	be	AUX
ejpam-5162	10	12	to	to	PART
ejpam-5162	10	13	reduce	reduce	VERB
ejpam-5162	10	14	the	the	DET
ejpam-5162	10	15	cost	cost	NOUN
ejpam-5162	10	16	of	of	ADP
ejpam-5162	10	17	transferring	transfer	VERB
ejpam-5162	10	18	goods	good	NOUN
ejpam-5162	10	19	and	and	CCONJ
ejpam-5162	10	20	materials	material	NOUN
ejpam-5162	10	21	between	between	ADP
ejpam-5162	10	22	producers	producer	NOUN
ejpam-5162	10	23	and	and	CCONJ
ejpam-5162	10	24	consumers	consumer	NOUN
ejpam-5162	10	25	,	,	PUNCT
ejpam-5162	10	26	enabling	enable	VERB
ejpam-5162	10	27	the	the	DET
ejpam-5162	10	28	manufacturer	manufacturer	NOUN
ejpam-5162	10	29	to	to	PART
ejpam-5162	10	30	better	well	ADV
ejpam-5162	10	31	satisfy	satisfy	VERB
ejpam-5162	10	32	consumer	consumer	NOUN
ejpam-5162	10	33	demands	demand	NOUN
ejpam-5162	10	34	.	.	PUNCT
ejpam-5162	11	1	an	an	DET
ejpam-5162	11	2	uneven	uneven	ADJ
ejpam-5162	11	3	transportation	transportation	NOUN
ejpam-5162	11	4	issue	issue	NOUN
ejpam-5162	11	5	with	with	ADP
ejpam-5162	11	6	mixed	mixed	ADJ
ejpam-5162	11	7	constraints	constraint	NOUN
ejpam-5162	11	8	(	(	PUNCT
ejpam-5162	11	9	tpmc	tpmc	NOUN
ejpam-5162	11	10	)	)	PUNCT
ejpam-5162	11	11	arises	arise	VERB
ejpam-5162	11	12	when	when	SCONJ
ejpam-5162	11	13	there	there	PRON
ejpam-5162	11	14	is	be	VERB
ejpam-5162	11	15	a	a	DET
ejpam-5162	11	16	noticeable	noticeable	ADJ
ejpam-5162	11	17	expansion	expansion	NOUN
ejpam-5162	11	18	or	or	CCONJ
ejpam-5162	11	19	reduction	reduction	NOUN
ejpam-5162	11	20	in	in	ADP
ejpam-5162	11	21	both	both	CCONJ
ejpam-5162	11	22	the	the	DET
ejpam-5162	11	23	capacity	capacity	NOUN
ejpam-5162	11	24	of	of	ADP
ejpam-5162	11	25	a	a	DET
ejpam-5162	11	26	supply	supply	NOUN
ejpam-5162	11	27	and	and	CCONJ
ejpam-5162	11	28	the	the	DET
ejpam-5162	11	29	need	need	NOUN
ejpam-5162	11	30	of	of	ADP
ejpam-5162	11	31	a	a	DET
ejpam-5162	11	32	demand	demand	NOUN
ejpam-5162	11	33	in	in	ADP
ejpam-5162	11	34	a	a	DET
ejpam-5162	11	35	typical	typical	ADJ
ejpam-5162	11	36	transportation	transportation	NOUN
ejpam-5162	11	37	system	system	NOUN
ejpam-5162	11	38	.	.	PUNCT
ejpam-5162	12	1	many	many	ADJ
ejpam-5162	12	2	researchers	researcher	NOUN
ejpam-5162	12	3	tp	tp	VERB
ejpam-5162	12	4	with	with	ADP
ejpam-5162	12	5	mixed	mixed	ADJ
ejpam-5162	12	6	constraints	constraint	NOUN
ejpam-5162	12	7	introduced	introduce	VERB
ejpam-5162	12	8	first	first	ADV
ejpam-5162	12	9	by	by	ADP
ejpam-5162	12	10	brigden	brigden	ADJ
ejpam-5162	12	11	[	[	X
ejpam-5162	12	12	7	7	NUM
ejpam-5162	12	13	]	]	PUNCT
ejpam-5162	12	14	,	,	PUNCT
ejpam-5162	12	15	had	have	AUX
ejpam-5162	12	16	proposed	propose	VERB
ejpam-5162	12	17	different	different	ADJ
ejpam-5162	12	18	models	model	NOUN
ejpam-5162	12	19	by	by	ADP
ejpam-5162	12	20	v.	v.	ADP
ejpam-5162	12	21	adlakha	adlakha	PROPN
ejpam-5162	13	1	[	[	X
ejpam-5162	13	2	2	2	NUM
ejpam-5162	13	3	]	]	PUNCT
ejpam-5162	13	4	,	,	PUNCT
ejpam-5162	13	5	a.	a.	PROPN
ejpam-5162	13	6	das	das	PROPN
ejpam-5162	13	7	,	,	PUNCT
ejpam-5162	13	8	[	[	X
ejpam-5162	13	9	11	11	NUM
ejpam-5162	13	10	]	]	PUNCT
ejpam-5162	13	11	,	,	PUNCT
ejpam-5162	13	12	s.	s.	PROPN
ejpam-5162	13	13	agarwal	agarwal	PROPN
ejpam-5162	14	1	[	[	X
ejpam-5162	14	2	3],s	3],s	NOUN
ejpam-5162	14	3	.	.	PUNCT
ejpam-5162	15	1	gupta	gupta	PROPN
ejpam-5162	15	2	,	,	PUNCT
ejpam-5162	15	3	[	[	X
ejpam-5162	15	4	19	19	NUM
ejpam-5162	15	5	]	]	PUNCT
ejpam-5162	15	6	,	,	PUNCT
ejpam-5162	15	7	v.	v.	CCONJ
ejpam-5162	15	8	vidhya	vidhya	PROPN
ejpam-5162	15	9	,	,	PUNCT
ejpam-5162	15	10	[	[	X
ejpam-5162	15	11	32	32	NUM
ejpam-5162	15	12	]	]	PUNCT
ejpam-5162	15	13	,	,	PUNCT
ejpam-5162	15	14	rashid	rashid	PROPN
ejpam-5162	15	15	,	,	PUNCT
ejpam-5162	15	16	[	[	X
ejpam-5162	15	17	31	31	NUM
ejpam-5162	15	18	]	]	PUNCT
ejpam-5162	15	19	,	,	PUNCT
ejpam-5162	15	20	and	and	CCONJ
ejpam-5162	15	21	extended	extend	VERB
ejpam-5162	15	22	multiobjectived	multiobjective	VERB
ejpam-5162	15	23	in	in	ADP
ejpam-5162	15	24	fuzzy	fuzzy	ADJ
ejpam-5162	15	25	by	by	ADP
ejpam-5162	15	26	gupta	gupta	PROPN
ejpam-5162	15	27	[	[	X
ejpam-5162	15	28	20	20	NUM
ejpam-5162	15	29	]	]	PUNCT
ejpam-5162	15	30	.	.	PUNCT
ejpam-5162	16	1	the	the	DET
ejpam-5162	16	2	terms	term	NOUN
ejpam-5162	16	3	for	for	ADP
ejpam-5162	16	4	tp	tp	NOUN
ejpam-5162	16	5	that	that	PRON
ejpam-5162	16	6	are	be	AUX
ejpam-5162	16	7	modelled	model	VERB
ejpam-5162	16	8	under	under	ADP
ejpam-5162	16	9	such	such	ADJ
ejpam-5162	16	10	circumstances	circumstance	NOUN
ejpam-5162	16	11	are	be	AUX
ejpam-5162	16	12	fuzzy	fuzzy	ADJ
ejpam-5162	16	13	transportation	transportation	NOUN
ejpam-5162	16	14	problems	problem	NOUN
ejpam-5162	16	15	(	(	PUNCT
ejpam-5162	16	16	ftp	ftp	NOUN
ejpam-5162	16	17	)	)	PUNCT
ejpam-5162	16	18	and	and	CCONJ
ejpam-5162	16	19	stochastic	stochastic	ADJ
ejpam-5162	16	20	transportation	transportation	NOUN
ejpam-5162	16	21	problems	problem	NOUN
ejpam-5162	16	22	(	(	PUNCT
ejpam-5162	16	23	stp	stp	PROPN
ejpam-5162	16	24	)	)	PUNCT
ejpam-5162	16	25	.	.	PUNCT
ejpam-5162	17	1	comparision	comparision	NOUN
ejpam-5162	17	2	of	of	ADP
ejpam-5162	17	3	the	the	DET
ejpam-5162	17	4	tp	tp	NOUN
ejpam-5162	17	5	with	with	ADP
ejpam-5162	17	6	different	different	ADJ
ejpam-5162	17	7	authors	author	NOUN
ejpam-5162	17	8	defined	define	VERB
ejpam-5162	17	9	on	on	ADP
ejpam-5162	17	10	gessesse	gessesse	NOUN
ejpam-5162	17	11	[	[	X
ejpam-5162	17	12	16	16	NUM
ejpam-5162	17	13	]	]	PUNCT
ejpam-5162	17	14	,	,	PUNCT
ejpam-5162	17	15	jerbi	jerbi	NOUN
ejpam-5162	18	1	[	[	X
ejpam-5162	18	2	21	21	NUM
ejpam-5162	18	3	]	]	X
ejpam-5162	18	4	,	,	PUNCT
ejpam-5162	18	5	al	al	PROPN
ejpam-5162	18	6	qahtani	qahtani	PROPN
ejpam-5162	18	7	et	et	PROPN
ejpam-5162	18	8	al	al	PROPN
ejpam-5162	18	9	.	.	PUNCT
ejpam-5162	19	1	[	[	X
ejpam-5162	19	2	30	30	NUM
ejpam-5162	19	3	]	]	PUNCT
ejpam-5162	19	4	,	,	PUNCT
ejpam-5162	19	5	nasseri	nasseri	NOUN
ejpam-5162	19	6	and	and	CCONJ
ejpam-5162	19	7	bavandi	bavandi	NOUN
ejpam-5162	19	8	[	[	X
ejpam-5162	19	9	28	28	NUM
ejpam-5162	19	10	]	]	PUNCT
ejpam-5162	19	11	,	,	PUNCT
ejpam-5162	19	12	dutta	dutta	PROPN
ejpam-5162	19	13	et	et	PROPN
ejpam-5162	19	14	al	al	PROPN
ejpam-5162	19	15	.	.	PUNCT
ejpam-5162	20	1	[	[	X
ejpam-5162	20	2	13	13	NUM
ejpam-5162	20	3	]	]	PUNCT
ejpam-5162	20	4	,	,	PUNCT
ejpam-5162	20	5	mahapatra	mahapatra	PROPN
ejpam-5162	20	6	et	et	PROPN
ejpam-5162	20	7	al	al	PROPN
ejpam-5162	20	8	.	.	PUNCT
ejpam-5162	21	1	[	[	X
ejpam-5162	21	2	26	26	NUM
ejpam-5162	21	3	]	]	PUNCT
ejpam-5162	21	4	,	,	PUNCT
ejpam-5162	21	5	agrawal	agrawal	PROPN
ejpam-5162	21	6	and	and	CCONJ
ejpam-5162	21	7	ganesh	ganesh	NOUN
ejpam-5162	22	1	[	[	X
ejpam-5162	22	2	5	5	NUM
ejpam-5162	22	3	]	]	PUNCT
ejpam-5162	22	4	,	,	PUNCT
ejpam-5162	22	5	das	das	PROPN
ejpam-5162	22	6	and	and	CCONJ
ejpam-5162	22	7	lee	lee	PROPN
ejpam-5162	22	8	∗corresponding	∗corresponde	VERB
ejpam-5162	22	9	author	author	NOUN
ejpam-5162	22	10	.	.	PUNCT
ejpam-5162	23	1	doi	doi	NOUN
ejpam-5162	23	2	:	:	PUNCT
ejpam-5162	23	3	https://doi.org/10.29020/nybg.ejpam.v17i2.5162	https://doi.org/10.29020/nybg.ejpam.v17i2.5162	NOUN
ejpam-5162	23	4	email	email	NOUN
ejpam-5162	23	5	addresses	address	NOUN
ejpam-5162	23	6	:	:	PUNCT
ejpam-5162	23	7	pullooru.bhavana2020@vitstudent.ac.in	pullooru.bhavana2020@vitstudent.ac.in	PROPN
ejpam-5162	23	8	(	(	PUNCT
ejpam-5162	23	9	p.	p.	PROPN
ejpam-5162	23	10	bhavana	bhavana	PROPN
ejpam-5162	23	11	)	)	PUNCT
ejpam-5162	23	12	,	,	PUNCT
ejpam-5162	23	13	dkalpanapriya@vit.ac.in	dkalpanapriya@vit.ac.in	X
ejpam-5162	24	1	(	(	PUNCT
ejpam-5162	24	2	d	d	PROPN
ejpam-5162	24	3	k	k	PROPN
ejpam-5162	24	4	priya	priya	PROPN
ejpam-5162	24	5	)	)	PUNCT
ejpam-5162	24	6	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-5162	24	7	1228	1228	NUM
ejpam-5162	25	1	©	©	ADP
ejpam-5162	25	2	2024	2024	NUM
ejpam-5162	25	3	ejpam	ejpam	NOUN
ejpam-5162	25	4	all	all	DET
ejpam-5162	25	5	rights	right	NOUN
ejpam-5162	25	6	reserved	reserve	VERB
ejpam-5162	25	7	.	.	PUNCT
ejpam-5162	26	1	p.	p.	NOUN
ejpam-5162	26	2	bhavana	bhavana	PROPN
ejpam-5162	26	3	,	,	PUNCT
ejpam-5162	26	4	d.	d.	PROPN
ejpam-5162	26	5	kalpana	kalpana	PROPN
ejpam-5162	26	6	/	/	SYM
ejpam-5162	26	7	eur	eur	PROPN
ejpam-5162	26	8	.	.	PUNCT
ejpam-5162	27	1	j.	j.	PROPN
ejpam-5162	27	2	pure	pure	PROPN
ejpam-5162	27	3	appl	appl	PROPN
ejpam-5162	27	4	.	.	PROPN
ejpam-5162	27	5	math	math	PROPN
ejpam-5162	27	6	,	,	PUNCT
ejpam-5162	27	7	17	17	NUM
ejpam-5162	27	8	(	(	PUNCT
ejpam-5162	27	9	2	2	NUM
ejpam-5162	27	10	)	)	PUNCT
ejpam-5162	27	11	(	(	PUNCT
ejpam-5162	27	12	2024	2024	NUM
ejpam-5162	27	13	)	)	PUNCT
ejpam-5162	27	14	,	,	PUNCT
ejpam-5162	27	15	1228	1228	NUM
ejpam-5162	27	16	-	-	SYM
ejpam-5162	27	17	1243	1243	NUM
ejpam-5162	27	18	1229	1229	NUM
ejpam-5162	27	19	the	the	DET
ejpam-5162	27	20	lomax	lomax	PROPN
ejpam-5162	27	21	distribution	distribution	NOUN
ejpam-5162	27	22	is	be	AUX
ejpam-5162	27	23	utilised	utilise	VERB
ejpam-5162	27	24	extensively	extensively	ADV
ejpam-5162	27	25	these	these	DET
ejpam-5162	27	26	days	day	NOUN
ejpam-5162	27	27	in	in	ADP
ejpam-5162	27	28	numerous	numerous	ADJ
ejpam-5162	27	29	domains	domain	NOUN
ejpam-5162	27	30	,	,	PUNCT
ejpam-5162	27	31	including	include	VERB
ejpam-5162	27	32	decision	decision	NOUN
ejpam-5162	27	33	-	-	PUNCT
ejpam-5162	27	34	making	making	NOUN
ejpam-5162	27	35	.	.	PUNCT
ejpam-5162	28	1	this	this	DET
ejpam-5162	28	2	paper	paper	NOUN
ejpam-5162	28	3	’s	’s	PART
ejpam-5162	28	4	goal	goal	NOUN
ejpam-5162	28	5	is	be	AUX
ejpam-5162	28	6	to	to	PART
ejpam-5162	28	7	use	use	VERB
ejpam-5162	28	8	the	the	DET
ejpam-5162	28	9	sftpmc	sftpmc	ADJ
ejpam-5162	28	10	model	model	NOUN
ejpam-5162	28	11	to	to	PART
ejpam-5162	28	12	optimise	optimise	VERB
ejpam-5162	28	13	the	the	DET
ejpam-5162	28	14	overall	overall	ADJ
ejpam-5162	28	15	cost	cost	NOUN
ejpam-5162	28	16	of	of	ADP
ejpam-5162	28	17	transportation	transportation	NOUN
ejpam-5162	28	18	under	under	ADP
ejpam-5162	28	19	ambiguous	ambiguous	ADJ
ejpam-5162	28	20	situations	situation	NOUN
ejpam-5162	28	21	.	.	PUNCT
ejpam-5162	29	1	generally	generally	ADV
ejpam-5162	29	2	speaking	speak	VERB
ejpam-5162	29	3	,	,	PUNCT
ejpam-5162	29	4	fuzzy	fuzzy	ADJ
ejpam-5162	29	5	or	or	CCONJ
ejpam-5162	29	6	probability	probability	NOUN
ejpam-5162	29	7	theory	theory	NOUN
ejpam-5162	29	8	is	be	AUX
ejpam-5162	29	9	used	use	VERB
ejpam-5162	29	10	to	to	PART
ejpam-5162	29	11	characterise	characterise	VERB
ejpam-5162	29	12	uncertainty	uncertainty	NOUN
ejpam-5162	29	13	.	.	PUNCT
ejpam-5162	30	1	however	however	ADV
ejpam-5162	30	2	,	,	PUNCT
ejpam-5162	30	3	because	because	SCONJ
ejpam-5162	30	4	it	it	PRON
ejpam-5162	30	5	requires	require	VERB
ejpam-5162	30	6	sufficient	sufficient	ADJ
ejpam-5162	30	7	knowledge	knowledge	NOUN
ejpam-5162	30	8	,	,	PUNCT
ejpam-5162	30	9	using	use	VERB
ejpam-5162	30	10	fuzzy	fuzzy	ADJ
ejpam-5162	30	11	theory	theory	NOUN
ejpam-5162	30	12	or	or	CCONJ
ejpam-5162	30	13	probability	probability	NOUN
ejpam-5162	30	14	theory	theory	NOUN
ejpam-5162	30	15	with	with	ADP
ejpam-5162	30	16	stochastic	stochastic	NOUN
ejpam-5162	30	17	to	to	PART
ejpam-5162	30	18	show	show	VERB
ejpam-5162	30	19	every	every	DET
ejpam-5162	30	20	indeterminacy	indeterminacy	NOUN
ejpam-5162	30	21	is	be	AUX
ejpam-5162	30	22	not	not	PART
ejpam-5162	30	23	always	always	ADV
ejpam-5162	30	24	feasible	feasible	ADJ
ejpam-5162	30	25	.	.	PUNCT
ejpam-5162	31	1	in	in	ADP
ejpam-5162	31	2	actuality	actuality	NOUN
ejpam-5162	31	3	,	,	PUNCT
ejpam-5162	31	4	the	the	DET
ejpam-5162	31	5	uncertainty	uncertainty	NOUN
ejpam-5162	31	6	theory	theory	NOUN
ejpam-5162	31	7	is	be	AUX
ejpam-5162	31	8	applied	apply	VERB
ejpam-5162	31	9	because	because	SCONJ
ejpam-5162	31	10	low	low	ADJ
ejpam-5162	31	11	-	-	PUNCT
ejpam-5162	31	12	frequency	frequency	NOUN
ejpam-5162	31	13	occurrences	occurrence	NOUN
ejpam-5162	31	14	happen	happen	VERB
ejpam-5162	31	15	in	in	ADP
ejpam-5162	31	16	our	our	PRON
ejpam-5162	31	17	day	day	NOUN
ejpam-5162	31	18	-	-	PUNCT
ejpam-5162	31	19	to	to	ADP
ejpam-5162	31	20	-	-	PUNCT
ejpam-5162	31	21	day	day	NOUN
ejpam-5162	31	22	lives	life	NOUN
ejpam-5162	31	23	.	.	PUNCT
ejpam-5162	32	1	it	it	PRON
ejpam-5162	32	2	becomes	become	VERB
ejpam-5162	32	3	difficult	difficult	ADJ
ejpam-5162	32	4	to	to	PART
ejpam-5162	32	5	schedule	schedule	VERB
ejpam-5162	32	6	an	an	DET
ejpam-5162	32	7	appropriate	appropriate	ADJ
ejpam-5162	32	8	transport	transport	NOUN
ejpam-5162	32	9	plan	plan	NOUN
ejpam-5162	32	10	under	under	ADP
ejpam-5162	32	11	these	these	DET
ejpam-5162	32	12	conditions	condition	NOUN
ejpam-5162	32	13	in	in	ADP
ejpam-5162	32	14	order	order	NOUN
ejpam-5162	32	15	to	to	PART
ejpam-5162	32	16	reduce	reduce	VERB
ejpam-5162	32	17	the	the	DET
ejpam-5162	32	18	overall	overall	ADJ
ejpam-5162	32	19	expenditures	expenditure	NOUN
ejpam-5162	32	20	.	.	PUNCT
ejpam-5162	33	1	this	this	DET
ejpam-5162	33	2	study	study	NOUN
ejpam-5162	33	3	offers	offer	VERB
ejpam-5162	33	4	a	a	DET
ejpam-5162	33	5	useful	useful	ADJ
ejpam-5162	33	6	paradigm	paradigm	NOUN
ejpam-5162	33	7	that	that	SCONJ
ejpam-5162	33	8	the	the	DET
ejpam-5162	33	9	decision	decision	NOUN
ejpam-5162	33	10	making	make	VERB
ejpam-5162	33	11	may	may	AUX
ejpam-5162	33	12	use	use	VERB
ejpam-5162	33	13	to	to	PART
ejpam-5162	33	14	handle	handle	VERB
ejpam-5162	33	15	some	some	DET
ejpam-5162	33	16	unpredictable	unpredictable	ADJ
ejpam-5162	33	17	variables	variable	NOUN
ejpam-5162	33	18	without	without	ADP
ejpam-5162	33	19	compromising	compromise	VERB
ejpam-5162	33	20	customer	customer	NOUN
ejpam-5162	33	21	reliability	reliability	NOUN
ejpam-5162	33	22	.	.	PUNCT
ejpam-5162	34	1	agrawal	agrawal	PROPN
ejpam-5162	35	1	[	[	X
ejpam-5162	35	2	4	4	NUM
ejpam-5162	35	3	]	]	PUNCT
ejpam-5162	35	4	,	,	PUNCT
ejpam-5162	35	5	aruna	aruna	PROPN
ejpam-5162	35	6	chalam	chalam	PROPN
ejpam-5162	36	1	[	[	X
ejpam-5162	36	2	9	9	NUM
ejpam-5162	36	3	]	]	PUNCT
ejpam-5162	36	4	,	,	PUNCT
ejpam-5162	36	5	giri	giri	PROPN
ejpam-5162	36	6	et	et	PROPN
ejpam-5162	36	7	al	al	PROPN
ejpam-5162	36	8	.	.	PUNCT
ejpam-5162	37	1	[	[	X
ejpam-5162	37	2	18][19	18][19	NUM
ejpam-5162	37	3	]	]	PUNCT
ejpam-5162	37	4	,	,	PUNCT
ejpam-5162	37	5	acharya	acharya	PROPN
ejpam-5162	37	6	et	et	PROPN
ejpam-5162	37	7	al	al	PROPN
ejpam-5162	37	8	.	.	PUNCT
ejpam-5162	38	1	[	[	X
ejpam-5162	38	2	1	1	NUM
ejpam-5162	38	3	]	]	PUNCT
ejpam-5162	38	4	,	,	PUNCT
ejpam-5162	38	5	gessesse	gessesse	VERB
ejpam-5162	38	6	[	[	X
ejpam-5162	38	7	17	17	NUM
ejpam-5162	38	8	]	]	PUNCT
ejpam-5162	38	9	,	,	PUNCT
ejpam-5162	38	10	maity	maity	NOUN
ejpam-5162	38	11	et	et	PROPN
ejpam-5162	38	12	al	al	PROPN
ejpam-5162	38	13	.	.	PUNCT
ejpam-5162	39	1	[	[	X
ejpam-5162	39	2	27	27	NUM
ejpam-5162	39	3	]	]	PUNCT
ejpam-5162	39	4	were	be	AUX
ejpam-5162	39	5	solved	solve	VERB
ejpam-5162	39	6	the	the	DET
ejpam-5162	39	7	stp	stp	ADJ
ejpam-5162	39	8	articles	article	NOUN
ejpam-5162	39	9	that	that	PRON
ejpam-5162	39	10	involve	involve	VERB
ejpam-5162	39	11	both	both	DET
ejpam-5162	39	12	fuzziness	fuzziness	NOUN
ejpam-5162	39	13	and	and	CCONJ
ejpam-5162	39	14	randomness	randomness	NOUN
ejpam-5162	39	15	.	.	PUNCT
ejpam-5162	40	1	this	this	DET
ejpam-5162	40	2	study	study	NOUN
ejpam-5162	40	3	might	might	AUX
ejpam-5162	40	4	be	be	AUX
ejpam-5162	40	5	expanded	expand	VERB
ejpam-5162	40	6	to	to	PART
ejpam-5162	40	7	include	include	VERB
ejpam-5162	40	8	additional	additional	ADJ
ejpam-5162	40	9	areas	area	NOUN
ejpam-5162	40	10	where	where	SCONJ
ejpam-5162	40	11	plans	plan	NOUN
ejpam-5162	40	12	or	or	CCONJ
ejpam-5162	40	13	decisions	decision	NOUN
ejpam-5162	40	14	must	must	AUX
ejpam-5162	40	15	be	be	AUX
ejpam-5162	40	16	made	make	VERB
ejpam-5162	40	17	under	under	ADP
ejpam-5162	40	18	unknown	unknown	ADJ
ejpam-5162	40	19	circumstances	circumstance	NOUN
ejpam-5162	40	20	.	.	PUNCT
ejpam-5162	41	1	there	there	PRON
ejpam-5162	41	2	are	be	VERB
ejpam-5162	41	3	four	four	NUM
ejpam-5162	41	4	sections	section	NOUN
ejpam-5162	41	5	to	to	ADP
ejpam-5162	41	6	this	this	DET
ejpam-5162	41	7	paper	paper	NOUN
ejpam-5162	41	8	:	:	PUNCT
ejpam-5162	41	9	section	section	NOUN
ejpam-5162	41	10	2	2	NUM
ejpam-5162	41	11	provides	provide	VERB
ejpam-5162	41	12	an	an	DET
ejpam-5162	41	13	overview	overview	NOUN
ejpam-5162	41	14	of	of	ADP
ejpam-5162	41	15	the	the	DET
ejpam-5162	41	16	fundamental	fundamental	ADJ
ejpam-5162	41	17	terms	term	NOUN
ejpam-5162	41	18	and	and	CCONJ
ejpam-5162	41	19	concepts	concept	NOUN
ejpam-5162	41	20	,	,	PUNCT
ejpam-5162	41	21	while	while	SCONJ
ejpam-5162	41	22	section	section	NOUN
ejpam-5162	41	23	3	3	NUM
ejpam-5162	41	24	presents	present	VERB
ejpam-5162	41	25	the	the	DET
ejpam-5162	41	26	suggested	suggest	VERB
ejpam-5162	41	27	lomax	lomax	PROPN
ejpam-5162	41	28	distribution	distribution	NOUN
ejpam-5162	41	29	,	,	PUNCT
ejpam-5162	41	30	the	the	DET
ejpam-5162	41	31	mathematical	mathematical	ADJ
ejpam-5162	41	32	formulation	formulation	NOUN
ejpam-5162	41	33	of	of	ADP
ejpam-5162	41	34	the	the	DET
ejpam-5162	41	35	sftpmc	sftpmc	PROPN
ejpam-5162	41	36	,	,	PUNCT
ejpam-5162	41	37	the	the	DET
ejpam-5162	41	38	steps	step	NOUN
ejpam-5162	41	39	involved	involve	VERB
ejpam-5162	41	40	in	in	ADP
ejpam-5162	41	41	solving	solve	VERB
ejpam-5162	41	42	it	it	PRON
ejpam-5162	41	43	,	,	PUNCT
ejpam-5162	41	44	and	and	CCONJ
ejpam-5162	41	45	a	a	DET
ejpam-5162	41	46	description	description	NOUN
ejpam-5162	41	47	of	of	ADP
ejpam-5162	41	48	the	the	DET
ejpam-5162	41	49	suggested	suggest	VERB
ejpam-5162	41	50	strategy	strategy	NOUN
ejpam-5162	41	51	supported	support	VERB
ejpam-5162	41	52	by	by	ADP
ejpam-5162	41	53	numerical	numerical	ADJ
ejpam-5162	41	54	examples	example	NOUN
ejpam-5162	41	55	.	.	PUNCT
ejpam-5162	42	1	moreover	moreover	ADV
ejpam-5162	42	2	,	,	PUNCT
ejpam-5162	42	3	the	the	DET
ejpam-5162	42	4	conclusion	conclusion	NOUN
ejpam-5162	42	5	in	in	ADP
ejpam-5162	42	6	section	section	NOUN
ejpam-5162	42	7	4	4	NUM
ejpam-5162	42	8	signifies	signify	VERB
ejpam-5162	42	9	the	the	DET
ejpam-5162	42	10	end	end	NOUN
ejpam-5162	42	11	of	of	ADP
ejpam-5162	42	12	the	the	DET
ejpam-5162	42	13	paper	paper	NOUN
ejpam-5162	42	14	.	.	PUNCT
ejpam-5162	43	1	1.1	1.1	NUM
ejpam-5162	43	2	.	.	PUNCT
ejpam-5162	43	3	research	research	NOUN
ejpam-5162	43	4	gap	gap	NOUN
ejpam-5162	43	5	and	and	CCONJ
ejpam-5162	43	6	motivation	motivation	NOUN
ejpam-5162	43	7	sftpmc	sftpmc	NOUN
ejpam-5162	43	8	was	be	AUX
ejpam-5162	43	9	used	use	VERB
ejpam-5162	43	10	to	to	PART
ejpam-5162	43	11	discover	discover	VERB
ejpam-5162	43	12	and	and	CCONJ
ejpam-5162	43	13	resolve	resolve	VERB
ejpam-5162	43	14	uncertainty	uncertainty	NOUN
ejpam-5162	43	15	in	in	ADP
ejpam-5162	43	16	linear	linear	ADJ
ejpam-5162	43	17	programming	programming	NOUN
ejpam-5162	43	18	problems	problem	NOUN
ejpam-5162	43	19	(	(	PUNCT
ejpam-5162	43	20	lpps	lpps	PROPN
ejpam-5162	43	21	)	)	PUNCT
ejpam-5162	43	22	.	.	PUNCT
ejpam-5162	44	1	fuzzy	fuzzy	ADJ
ejpam-5162	44	2	transposition	transposition	NOUN
ejpam-5162	44	3	problems	problem	NOUN
ejpam-5162	44	4	(	(	PUNCT
ejpam-5162	44	5	ftp	ftp	NOUN
ejpam-5162	44	6	)	)	PUNCT
ejpam-5162	44	7	are	be	AUX
ejpam-5162	44	8	unique	unique	ADJ
ejpam-5162	44	9	circumstances	circumstance	NOUN
ejpam-5162	44	10	in	in	ADP
ejpam-5162	44	11	which	which	PRON
ejpam-5162	44	12	many	many	ADJ
ejpam-5162	44	13	academics	academic	NOUN
ejpam-5162	44	14	have	have	AUX
ejpam-5162	44	15	devised	devise	VERB
ejpam-5162	44	16	various	various	ADJ
ejpam-5162	44	17	algorithms	algorithm	NOUN
ejpam-5162	44	18	and	and	CCONJ
ejpam-5162	44	19	ranking	ranking	NOUN
ejpam-5162	44	20	functions	function	NOUN
ejpam-5162	44	21	to	to	PART
ejpam-5162	44	22	turn	turn	VERB
ejpam-5162	44	23	fuzzy	fuzzy	ADJ
ejpam-5162	44	24	data	datum	NOUN
ejpam-5162	44	25	into	into	ADP
ejpam-5162	44	26	crisp	crisp	ADJ
ejpam-5162	44	27	data	datum	NOUN
ejpam-5162	44	28	in	in	SCONJ
ejpam-5162	44	29	order	order	NOUN
ejpam-5162	44	30	to	to	PART
ejpam-5162	44	31	handle	handle	VERB
ejpam-5162	44	32	the	the	DET
ejpam-5162	44	33	ftp	ftp	PROPN
ejpam-5162	44	34	.	.	PROPN
ejpam-5162	44	35	neutrosophic	neutrosophic	ADJ
ejpam-5162	44	36	transportation	transportation	NOUN
ejpam-5162	44	37	problems	problem	NOUN
ejpam-5162	44	38	(	(	PUNCT
ejpam-5162	44	39	ntp	ntp	NOUN
ejpam-5162	44	40	)	)	PUNCT
ejpam-5162	44	41	have	have	AUX
ejpam-5162	44	42	recently	recently	ADV
ejpam-5162	44	43	been	be	AUX
ejpam-5162	44	44	proposed	propose	VERB
ejpam-5162	44	45	as	as	ADP
ejpam-5162	44	46	a	a	DET
ejpam-5162	44	47	way	way	NOUN
ejpam-5162	44	48	to	to	PART
ejpam-5162	44	49	use	use	VERB
ejpam-5162	44	50	optimization	optimization	NOUN
ejpam-5162	44	51	techniques	technique	NOUN
ejpam-5162	44	52	with	with	ADP
ejpam-5162	44	53	unknown	unknown	ADJ
ejpam-5162	44	54	and	and	CCONJ
ejpam-5162	44	55	indeterminate	indeterminate	ADJ
ejpam-5162	44	56	variables	variable	NOUN
ejpam-5162	44	57	.	.	PUNCT
ejpam-5162	45	1	furthermore	furthermore	ADV
ejpam-5162	45	2	,	,	PUNCT
ejpam-5162	45	3	many	many	ADJ
ejpam-5162	45	4	researchers	researcher	NOUN
ejpam-5162	45	5	have	have	AUX
ejpam-5162	45	6	proposed	propose	VERB
ejpam-5162	45	7	fuzzy	fuzzy	ADJ
ejpam-5162	45	8	optimization	optimization	NOUN
ejpam-5162	45	9	techniques	technique	NOUN
ejpam-5162	45	10	(	(	PUNCT
ejpam-5162	45	11	fot	fot	NOUN
ejpam-5162	45	12	)	)	PUNCT
ejpam-5162	45	13	,	,	PUNCT
ejpam-5162	45	14	the	the	DET
ejpam-5162	45	15	single	single	ADV
ejpam-5162	45	16	-	-	PUNCT
ejpam-5162	45	17	valued	value	VERB
ejpam-5162	45	18	trapezoidal	trapezoidal	ADJ
ejpam-5162	45	19	neutrosophic	neutrosophic	ADJ
ejpam-5162	45	20	transportation	transportation	NOUN
ejpam-5162	45	21	problem	problem	NOUN
ejpam-5162	45	22	(	(	PUNCT
ejpam-5162	45	23	svtntp	svtntp	VERB
ejpam-5162	45	24	)	)	PUNCT
ejpam-5162	46	1	[	[	X
ejpam-5162	46	2	22	22	NUM
ejpam-5162	46	3	]	]	PUNCT
ejpam-5162	46	4	,	,	PUNCT
ejpam-5162	46	5	the	the	DET
ejpam-5162	46	6	commercial	commercial	ADJ
ejpam-5162	46	7	traveler	traveler	NOUN
ejpam-5162	46	8	problem	problem	NOUN
ejpam-5162	46	9	(	(	PUNCT
ejpam-5162	46	10	ctp	ctp	PROPN
ejpam-5162	46	11	)	)	PUNCT
ejpam-5162	47	1	[	[	X
ejpam-5162	47	2	29	29	NUM
ejpam-5162	47	3	]	]	PUNCT
ejpam-5162	47	4	,	,	PUNCT
ejpam-5162	47	5	and	and	CCONJ
ejpam-5162	47	6	a	a	DET
ejpam-5162	47	7	two	two	NUM
ejpam-5162	47	8	-	-	PUNCT
ejpam-5162	47	9	stage	stage	NOUN
ejpam-5162	47	10	conventional	conventional	ADJ
ejpam-5162	47	11	transportation	transportation	NOUN
ejpam-5162	47	12	model	model	NOUN
ejpam-5162	47	13	to	to	PART
ejpam-5162	47	14	distribute	distribute	VERB
ejpam-5162	47	15	relief	relief	NOUN
ejpam-5162	47	16	aid	aid	NOUN
ejpam-5162	47	17	to	to	ADP
ejpam-5162	47	18	victims	victim	NOUN
ejpam-5162	47	19	in	in	ADP
ejpam-5162	47	20	uncertain	uncertain	ADJ
ejpam-5162	47	21	scenarios	scenario	NOUN
ejpam-5162	47	22	[	[	X
ejpam-5162	47	23	15	15	NUM
ejpam-5162	47	24	]	]	PUNCT
ejpam-5162	47	25	and	and	CCONJ
ejpam-5162	47	26	multi	multi	ADJ
ejpam-5162	47	27	-	-	ADJ
ejpam-5162	47	28	objective	objective	ADJ
ejpam-5162	47	29	stochastic	stochastic	ADJ
ejpam-5162	47	30	solid	solid	ADJ
ejpam-5162	47	31	transportation	transportation	NOUN
ejpam-5162	47	32	problem	problem	NOUN
ejpam-5162	47	33	(	(	PUNCT
ejpam-5162	47	34	mosstp	mosstp	NOUN
ejpam-5162	47	35	)	)	PUNCT
ejpam-5162	47	36	uncertainity	uncertainity	NOUN
ejpam-5162	47	37	with	with	ADP
ejpam-5162	47	38	weibull	weibull	NOUN
ejpam-5162	47	39	distribution	distribution	NOUN
ejpam-5162	47	40	[	[	X
ejpam-5162	47	41	12	12	NUM
ejpam-5162	47	42	]	]	PUNCT
ejpam-5162	47	43	.	.	PUNCT
ejpam-5162	48	1	in	in	ADP
ejpam-5162	48	2	this	this	DET
ejpam-5162	48	3	paper	paper	NOUN
ejpam-5162	48	4	proposed	propose	VERB
ejpam-5162	48	5	the	the	DET
ejpam-5162	48	6	sftpmc	sftpmc	PROPN
ejpam-5162	48	7	,	,	PUNCT
ejpam-5162	48	8	the	the	DET
ejpam-5162	48	9	stochastic	stochastic	ADJ
ejpam-5162	48	10	transportation	transportation	NOUN
ejpam-5162	48	11	problem	problem	NOUN
ejpam-5162	48	12	with	with	ADP
ejpam-5162	48	13	imprecise	imprecise	ADJ
ejpam-5162	48	14	data	datum	NOUN
ejpam-5162	48	15	using	use	VERB
ejpam-5162	48	16	the	the	DET
ejpam-5162	48	17	lomax	lomax	PROPN
ejpam-5162	48	18	distribution	distribution	NOUN
ejpam-5162	48	19	provides	provide	VERB
ejpam-5162	48	20	a	a	DET
ejpam-5162	48	21	valuable	valuable	ADJ
ejpam-5162	48	22	tool	tool	NOUN
ejpam-5162	48	23	for	for	ADP
ejpam-5162	48	24	addressing	address	VERB
ejpam-5162	48	25	the	the	DET
ejpam-5162	48	26	challenges	challenge	NOUN
ejpam-5162	48	27	of	of	ADP
ejpam-5162	48	28	transportation	transportation	NOUN
ejpam-5162	48	29	planning	planning	NOUN
ejpam-5162	48	30	and	and	CCONJ
ejpam-5162	48	31	logistics	logistic	NOUN
ejpam-5162	48	32	in	in	ADP
ejpam-5162	48	33	an	an	DET
ejpam-5162	48	34	uncertain	uncertain	ADJ
ejpam-5162	48	35	environment	environment	NOUN
ejpam-5162	48	36	,	,	PUNCT
ejpam-5162	48	37	and	and	CCONJ
ejpam-5162	48	38	it	it	PRON
ejpam-5162	48	39	helps	help	VERB
ejpam-5162	48	40	decision	decision	NOUN
ejpam-5162	48	41	makers	maker	NOUN
ejpam-5162	48	42	make	make	VERB
ejpam-5162	48	43	more	more	ADV
ejpam-5162	48	44	accurate	accurate	ADJ
ejpam-5162	48	45	and	and	CCONJ
ejpam-5162	48	46	robust	robust	ADJ
ejpam-5162	48	47	decisions	decision	NOUN
ejpam-5162	48	48	by	by	ADP
ejpam-5162	48	49	considering	consider	VERB
ejpam-5162	48	50	the	the	DET
ejpam-5162	48	51	stochastic	stochastic	ADJ
ejpam-5162	48	52	nature	nature	NOUN
ejpam-5162	48	53	of	of	ADP
ejpam-5162	48	54	various	various	ADJ
ejpam-5162	48	55	factors	factor	NOUN
ejpam-5162	48	56	and	and	CCONJ
ejpam-5162	48	57	incorporating	incorporate	VERB
ejpam-5162	48	58	the	the	DET
ejpam-5162	48	59	lomax	lomax	PROPN
ejpam-5162	48	60	distribution	distribution	NOUN
ejpam-5162	48	61	for	for	ADP
ejpam-5162	48	62	modeling	model	VERB
ejpam-5162	48	63	imprecise	imprecise	ADJ
ejpam-5162	48	64	data	datum	NOUN
ejpam-5162	48	65	.	.	PUNCT
ejpam-5162	49	1	2	2	X
ejpam-5162	49	2	.	.	X
ejpam-5162	49	3	preliminaries	preliminary	NOUN
ejpam-5162	49	4	let	let	VERB
ejpam-5162	49	5	we	we	PRON
ejpam-5162	49	6	recall	recall	VERB
ejpam-5162	49	7	first	first	ADV
ejpam-5162	49	8	of	of	ADP
ejpam-5162	49	9	all	all	DET
ejpam-5162	49	10	the	the	DET
ejpam-5162	49	11	fuzzy	fuzzy	ADJ
ejpam-5162	49	12	set	set	NOUN
ejpam-5162	49	13	theory	theory	NOUN
ejpam-5162	49	14	and	and	CCONJ
ejpam-5162	49	15	triangular	triangular	NOUN
ejpam-5162	49	16	fuzzy	fuzzy	ADJ
ejpam-5162	49	17	number	number	NOUN
ejpam-5162	49	18	and	and	CCONJ
ejpam-5162	49	19	alpha	alpha	NOUN
ejpam-5162	49	20	-	-	PUNCT
ejpam-5162	49	21	cut	cut	VERB
ejpam-5162	49	22	concepts	concept	NOUN
ejpam-5162	49	23	used	use	VERB
ejpam-5162	49	24	in	in	ADP
ejpam-5162	49	25	this	this	DET
ejpam-5162	49	26	paper	paper	NOUN
ejpam-5162	49	27	.	.	PUNCT
ejpam-5162	50	1	now	now	ADV
ejpam-5162	50	2	a	a	DET
ejpam-5162	50	3	days	day	NOUN
ejpam-5162	50	4	the	the	DET
ejpam-5162	50	5	imprecise	imprecise	ADJ
ejpam-5162	50	6	information	information	NOUN
ejpam-5162	50	7	modelling	modelling	NOUN
ejpam-5162	50	8	are	be	AUX
ejpam-5162	50	9	done	do	VERB
ejpam-5162	50	10	by	by	ADP
ejpam-5162	50	11	p.	p.	PROPN
ejpam-5162	50	12	bhavana	bhavana	PROPN
ejpam-5162	50	13	,	,	PUNCT
ejpam-5162	50	14	d.	d.	PROPN
ejpam-5162	50	15	kalpana	kalpana	PROPN
ejpam-5162	50	16	/	/	SYM
ejpam-5162	50	17	eur	eur	PROPN
ejpam-5162	50	18	.	.	PUNCT
ejpam-5162	51	1	j.	j.	PROPN
ejpam-5162	51	2	pure	pure	PROPN
ejpam-5162	51	3	appl	appl	PROPN
ejpam-5162	51	4	.	.	PROPN
ejpam-5162	51	5	math	math	PROPN
ejpam-5162	51	6	,	,	PUNCT
ejpam-5162	51	7	17	17	NUM
ejpam-5162	51	8	(	(	PUNCT
ejpam-5162	51	9	2	2	NUM
ejpam-5162	51	10	)	)	PUNCT
ejpam-5162	51	11	(	(	PUNCT
ejpam-5162	51	12	2024	2024	NUM
ejpam-5162	51	13	)	)	PUNCT
ejpam-5162	51	14	,	,	PUNCT
ejpam-5162	51	15	1228	1228	NUM
ejpam-5162	51	16	-	-	SYM
ejpam-5162	51	17	1243	1243	NUM
ejpam-5162	51	18	1230	1230	NUM
ejpam-5162	51	19	using	use	VERB
ejpam-5162	51	20	fuzzy	fuzzy	ADJ
ejpam-5162	51	21	concepts	concept	NOUN
ejpam-5162	51	22	[	[	X
ejpam-5162	51	23	33	33	NUM
ejpam-5162	51	24	]	]	PUNCT
ejpam-5162	51	25	.	.	PUNCT
ejpam-5162	52	1	definition	definition	NOUN
ejpam-5162	52	2	1	1	NUM
ejpam-5162	52	3	.	.	PUNCT
ejpam-5162	53	1	(	(	PUNCT
ejpam-5162	53	2	fuzzy	fuzzy	ADJ
ejpam-5162	53	3	set	set	NOUN
ejpam-5162	53	4	)	)	PUNCT
ejpam-5162	53	5	.	.	PUNCT
ejpam-5162	54	1	let	let	VERB
ejpam-5162	54	2	x	x	PRON
ejpam-5162	54	3	be	be	AUX
ejpam-5162	54	4	a	a	DET
ejpam-5162	54	5	crisp	crisp	ADJ
ejpam-5162	54	6	set	set	NOUN
ejpam-5162	54	7	and	and	CCONJ
ejpam-5162	54	8	let	let	VERB
ejpam-5162	54	9	ã	ã	PROPN
ejpam-5162	54	10	⊆	⊆	NUM
ejpam-5162	54	11	f	f	AUX
ejpam-5162	54	12	be	be	AUX
ejpam-5162	54	13	a	a	DET
ejpam-5162	54	14	fuzzy	fuzzy	ADJ
ejpam-5162	54	15	set	set	NOUN
ejpam-5162	54	16	where	where	SCONJ
ejpam-5162	54	17	f	f	PROPN
ejpam-5162	54	18	is	be	AUX
ejpam-5162	54	19	a	a	DET
ejpam-5162	54	20	fuzzy	fuzzy	ADJ
ejpam-5162	54	21	space	space	NOUN
ejpam-5162	54	22	.	.	PUNCT
ejpam-5162	55	1	the	the	DET
ejpam-5162	55	2	fuzzy	fuzzy	ADJ
ejpam-5162	55	3	set	set	NOUN
ejpam-5162	55	4	ã	ã	PROPN
ejpam-5162	55	5	is	be	AUX
ejpam-5162	55	6	defined	define	VERB
ejpam-5162	55	7	on	on	ADP
ejpam-5162	55	8	crisp	crisp	ADJ
ejpam-5162	55	9	set	set	NOUN
ejpam-5162	55	10	x	x	PUNCT
ejpam-5162	55	11	with	with	ADP
ejpam-5162	55	12	a	a	DET
ejpam-5162	55	13	membership	membership	NOUN
ejpam-5162	55	14	function	function	NOUN
ejpam-5162	55	15	µã	µã	ADV
ejpam-5162	55	16	,	,	PUNCT
ejpam-5162	55	17	can	can	AUX
ejpam-5162	55	18	be	be	AUX
ejpam-5162	55	19	expressed	express	VERB
ejpam-5162	55	20	as	as	SCONJ
ejpam-5162	55	21	follows	follow	VERB
ejpam-5162	55	22	ã	ã	PROPN
ejpam-5162	55	23	=	=	PRON
ejpam-5162	55	24	{	{	PUNCT
ejpam-5162	55	25	(	(	PUNCT
ejpam-5162	55	26	x	x	NOUN
ejpam-5162	55	27	,	,	PUNCT
ejpam-5162	55	28	µã(x	µã(x	NOUN
ejpam-5162	55	29	)	)	PUNCT
ejpam-5162	55	30	)	)	PUNCT
ejpam-5162	55	31	,	,	PUNCT
ejpam-5162	55	32	x	x	PUNCT
ejpam-5162	55	33	∈	∈	NOUN
ejpam-5162	55	34	x	x	X
ejpam-5162	55	35	}	}	PUNCT
ejpam-5162	55	36	where	where	SCONJ
ejpam-5162	55	37	µã	µã	ADP
ejpam-5162	55	38	:x	:x	PUNCT
ejpam-5162	55	39	→	→	PUNCT
ejpam-5162	56	1	[	[	X
ejpam-5162	56	2	0	0	NUM
ejpam-5162	56	3	,	,	PUNCT
ejpam-5162	56	4	1	1	NUM
ejpam-5162	56	5	]	]	PUNCT
ejpam-5162	56	6	.	.	PUNCT
ejpam-5162	57	1	definition	definition	NOUN
ejpam-5162	57	2	2	2	NUM
ejpam-5162	57	3	.	.	PUNCT
ejpam-5162	58	1	(	(	PUNCT
ejpam-5162	58	2	triangular	triangular	VERB
ejpam-5162	58	3	fuzzy	fuzzy	ADJ
ejpam-5162	58	4	number	number	NOUN
ejpam-5162	58	5	)	)	PUNCT
ejpam-5162	58	6	.	.	PUNCT
ejpam-5162	59	1	a	a	DET
ejpam-5162	59	2	fuzzy	fuzzy	ADJ
ejpam-5162	59	3	number	number	NOUN
ejpam-5162	59	4	ã	ã	PROPN
ejpam-5162	59	5	is	be	AUX
ejpam-5162	59	6	a	a	DET
ejpam-5162	59	7	triangular	triangular	NOUN
ejpam-5162	59	8	fuzzy	fuzzy	ADJ
ejpam-5162	59	9	number	number	NOUN
ejpam-5162	59	10	denoted	denote	VERB
ejpam-5162	59	11	by	by	ADP
ejpam-5162	59	12	(	(	PUNCT
ejpam-5162	59	13	a1	a1	PROPN
ejpam-5162	59	14	,	,	PUNCT
ejpam-5162	59	15	a2	a2	PROPN
ejpam-5162	59	16	,	,	PUNCT
ejpam-5162	59	17	a3	a3	NOUN
ejpam-5162	59	18	)	)	PUNCT
ejpam-5162	59	19	and	and	CCONJ
ejpam-5162	59	20	its	its	PRON
ejpam-5162	59	21	membership	membership	NOUN
ejpam-5162	59	22	function	function	NOUN
ejpam-5162	59	23	µã	µã	VERB
ejpam-5162	59	24	is	be	AUX
ejpam-5162	59	25	given	give	VERB
ejpam-5162	59	26	below	below	ADP
ejpam-5162	59	27	µã	µã	PUNCT
ejpam-5162	60	1	=	=	PUNCT
ejpam-5162	60	2			NOUN
ejpam-5162	60	3	x−a1	x−a1	X
ejpam-5162	61	1	a2−a1	a2−a1	ADV
ejpam-5162	61	2	,	,	PUNCT
ejpam-5162	61	3	if	if	SCONJ
ejpam-5162	61	4	a1	a1	NOUN
ejpam-5162	61	5	≤	≤	NOUN
ejpam-5162	61	6	x	x	SYM
ejpam-5162	61	7	≤	≤	PROPN
ejpam-5162	61	8	a2	a2	PROPN
ejpam-5162	61	9	a3−x	a3−x	PROPN
ejpam-5162	61	10	a3−a2	a3−a2	PROPN
ejpam-5162	61	11	,	,	PUNCT
ejpam-5162	61	12	if	if	SCONJ
ejpam-5162	61	13	a2	a2	PROPN
ejpam-5162	61	14	≤	≤	NUM
ejpam-5162	61	15	x	x	SYM
ejpam-5162	61	16	≤	≤	NUM
ejpam-5162	61	17	a3	a3	NOUN
ejpam-5162	61	18	0	0	NUM
ejpam-5162	61	19	,	,	PUNCT
ejpam-5162	61	20	otherwise	otherwise	ADV
ejpam-5162	61	21	definition	definition	NOUN
ejpam-5162	61	22	3	3	NUM
ejpam-5162	61	23	.	.	PUNCT
ejpam-5162	62	1	(	(	PUNCT
ejpam-5162	62	2	α	α	NOUN
ejpam-5162	62	3	cut	cut	NOUN
ejpam-5162	62	4	)	)	PUNCT
ejpam-5162	62	5	.	.	PUNCT
ejpam-5162	63	1	the	the	DET
ejpam-5162	63	2	cut	cut	NOUN
ejpam-5162	63	3	or	or	CCONJ
ejpam-5162	63	4	level	level	NOUN
ejpam-5162	63	5	of	of	ADP
ejpam-5162	63	6	a	a	DET
ejpam-5162	63	7	fuzzy	fuzzy	ADJ
ejpam-5162	63	8	set	set	NOUN
ejpam-5162	63	9	a	a	PRON
ejpam-5162	63	10	is	be	AUX
ejpam-5162	63	11	a	a	DET
ejpam-5162	63	12	crisp	crisp	ADJ
ejpam-5162	63	13	set	set	NOUN
ejpam-5162	63	14	defined	define	VERB
ejpam-5162	63	15	by	by	ADP
ejpam-5162	63	16	aα	aα	NOUN
ejpam-5162	63	17	=	=	SYM
ejpam-5162	63	18	{	{	PUNCT
ejpam-5162	63	19	x/µã(x	x/µã(x	NOUN
ejpam-5162	63	20	)	)	PUNCT
ejpam-5162	63	21	≥	≥	NOUN
ejpam-5162	63	22	α	α	NOUN
ejpam-5162	63	23	}	}	PUNCT
ejpam-5162	63	24	,	,	PUNCT
ejpam-5162	63	25	0	0	NUM
ejpam-5162	63	26	<	<	X
ejpam-5162	63	27	α	α	X
ejpam-5162	63	28	<	<	X
ejpam-5162	63	29	1	1	NUM
ejpam-5162	63	30	.	.	PUNCT
ejpam-5162	63	31	a	a	DET
ejpam-5162	63	32	triangular	triangular	NOUN
ejpam-5162	63	33	fuzzy	fuzzy	ADJ
ejpam-5162	63	34	number	number	NOUN
ejpam-5162	63	35	(	(	PUNCT
ejpam-5162	63	36	a	a	DET
ejpam-5162	63	37	,	,	PUNCT
ejpam-5162	63	38	b	b	NOUN
ejpam-5162	63	39	,	,	PUNCT
ejpam-5162	63	40	c	c	NOUN
ejpam-5162	63	41	)	)	PUNCT
ejpam-5162	63	42	can	can	AUX
ejpam-5162	63	43	be	be	AUX
ejpam-5162	63	44	represented	represent	VERB
ejpam-5162	63	45	as	as	ADP
ejpam-5162	63	46	an	an	DET
ejpam-5162	63	47	interval	interval	NOUN
ejpam-5162	63	48	number	number	NOUN
ejpam-5162	63	49	form	form	NOUN
ejpam-5162	63	50	as	as	SCONJ
ejpam-5162	63	51	follows	follow	VERB
ejpam-5162	63	52	.	.	PUNCT
ejpam-5162	64	1	(	(	PUNCT
ejpam-5162	64	2	a	a	DET
ejpam-5162	64	3	,	,	PUNCT
ejpam-5162	64	4	b	b	NOUN
ejpam-5162	64	5	,	,	PUNCT
ejpam-5162	64	6	c	c	NOUN
ejpam-5162	64	7	)	)	PUNCT
ejpam-5162	64	8	=	=	NOUN
ejpam-5162	65	1	[	[	X
ejpam-5162	65	2	a+	a+	X
ejpam-5162	65	3	(	(	PUNCT
ejpam-5162	65	4	b−	b−	PROPN
ejpam-5162	65	5	a)α	a)α	X
ejpam-5162	65	6	,	,	PUNCT
ejpam-5162	65	7	c−	c−	PROPN
ejpam-5162	65	8	(	(	PUNCT
ejpam-5162	65	9	c−	c−	ADJ
ejpam-5162	65	10	b)α	b)α	NOUN
ejpam-5162	65	11	]	]	PUNCT
ejpam-5162	65	12	figure	figure	NOUN
ejpam-5162	65	13	1	1	NUM
ejpam-5162	65	14	:	:	PUNCT
ejpam-5162	65	15	α	α	NUM
ejpam-5162	65	16	-	-	PUNCT
ejpam-5162	65	17	cut	cut	VERB
ejpam-5162	65	18	definition	definition	NOUN
ejpam-5162	65	19	4	4	NUM
ejpam-5162	65	20	.	.	PUNCT
ejpam-5162	66	1	(	(	PUNCT
ejpam-5162	66	2	linear	linear	ADJ
ejpam-5162	66	3	membership	membership	NOUN
ejpam-5162	66	4	function	function	NOUN
ejpam-5162	66	5	)	)	PUNCT
ejpam-5162	66	6	.	.	PUNCT
ejpam-5162	67	1	[	[	X
ejpam-5162	67	2	6	6	NUM
ejpam-5162	67	3	]	]	PUNCT
ejpam-5162	67	4	a	a	DET
ejpam-5162	67	5	linear	linear	ADJ
ejpam-5162	67	6	membership	membership	NOUN
ejpam-5162	67	7	function	function	NOUN
ejpam-5162	67	8	can	can	AUX
ejpam-5162	67	9	be	be	AUX
ejpam-5162	67	10	defined	define	VERB
ejpam-5162	67	11	as	as	ADP
ejpam-5162	67	12	µr(x	µr(x	X
ejpam-5162	67	13	)	)	PUNCT
ejpam-5162	67	14	=	=	SYM
ejpam-5162	68	1			PUNCT
ejpam-5162	68	2	0	0	PUNCT
ejpam-5162	69	1	if	if	SCONJ
ejpam-5162	69	2	xij	xij	PRON
ejpam-5162	69	3	<	<	X
ejpam-5162	69	4	x	x	PART
ejpam-5162	69	5	¯	¯	PUNCT
ejpam-5162	69	6	ij	ij	INTJ
ejpam-5162	69	7	x̄ij−xij	x̄ij−xij	PRON
ejpam-5162	69	8	x̄ij−x	x̄ij−x	PUNCT
ejpam-5162	70	1	¯	¯	PUNCT
ejpam-5162	70	2	ij	ij	INTJ
ejpam-5162	70	3	if	if	SCONJ
ejpam-5162	70	4	x	x	PART
ejpam-5162	70	5	¯	¯	PUNCT
ejpam-5162	70	6	ij	ij	X
ejpam-5162	70	7	<	<	X
ejpam-5162	70	8	xij	xij	X
ejpam-5162	70	9	<	<	X
ejpam-5162	70	10	x̄ij	x̄ij	X
ejpam-5162	70	11	1	1	NUM
ejpam-5162	70	12	if	if	SCONJ
ejpam-5162	70	13	xij	xij	PRON
ejpam-5162	70	14	>	>	X
ejpam-5162	70	15	x̄ij	x̄ij	NOUN
ejpam-5162	70	16	in	in	ADP
ejpam-5162	70	17	order	order	NOUN
ejpam-5162	70	18	to	to	PART
ejpam-5162	70	19	transform	transform	VERB
ejpam-5162	70	20	the	the	DET
ejpam-5162	70	21	fuzzy	fuzzy	ADJ
ejpam-5162	70	22	system	system	NOUN
ejpam-5162	70	23	to	to	ADP
ejpam-5162	70	24	a	a	DET
ejpam-5162	70	25	deterministic	deterministic	ADJ
ejpam-5162	70	26	set	set	NOUN
ejpam-5162	70	27	,	,	PUNCT
ejpam-5162	70	28	the	the	DET
ejpam-5162	70	29	alpha	alpha	NOUN
ejpam-5162	70	30	cut	cut	NOUN
ejpam-5162	70	31	representation	representation	NOUN
ejpam-5162	70	32	using	use	VERB
ejpam-5162	70	33	linear	linear	ADJ
ejpam-5162	70	34	membership	membership	NOUN
ejpam-5162	70	35	function	function	NOUN
ejpam-5162	70	36	is	be	AUX
ejpam-5162	70	37	x̄ij	x̄ij	VERB
ejpam-5162	70	38	−	−	PROPN
ejpam-5162	70	39	xij	xij	PRON
ejpam-5162	70	40	x̄ij	x̄ij	VERB
ejpam-5162	70	41	−	−	NOUN
ejpam-5162	70	42	x	x	SYM
ejpam-5162	70	43	¯	¯	PUNCT
ejpam-5162	70	44	ij	ij	INTJ
ejpam-5162	70	45	=	=	NOUN
ejpam-5162	70	46	α	α	PRON
ejpam-5162	70	47	such	such	ADJ
ejpam-5162	70	48	that	that	SCONJ
ejpam-5162	70	49	xij	xij	PRON
ejpam-5162	70	50	=	=	PUNCT
ejpam-5162	70	51	(	(	PUNCT
ejpam-5162	70	52	1−	1−	NUM
ejpam-5162	70	53	α)x̄ij	α)x̄ij	NUM
ejpam-5162	70	54	+	+	CCONJ
ejpam-5162	70	55	αx	αx	ADV
ejpam-5162	70	56	¯	¯	ADJ
ejpam-5162	70	57	ij	ij	INTJ
ejpam-5162	70	58	,	,	PUNCT
ejpam-5162	70	59	∀α	∀α	X
ejpam-5162	70	60	∈	∈	PROPN
ejpam-5162	71	1	[	[	X
ejpam-5162	71	2	0	0	NUM
ejpam-5162	71	3	,	,	PUNCT
ejpam-5162	71	4	1	1	NUM
ejpam-5162	71	5	]	]	PUNCT
ejpam-5162	71	6	p.	p.	NOUN
ejpam-5162	71	7	bhavana	bhavana	PROPN
ejpam-5162	71	8	,	,	PUNCT
ejpam-5162	71	9	d.	d.	PROPN
ejpam-5162	71	10	kalpana	kalpana	PROPN
ejpam-5162	71	11	/	/	SYM
ejpam-5162	71	12	eur	eur	PROPN
ejpam-5162	71	13	.	.	PUNCT
ejpam-5162	72	1	j.	j.	PROPN
ejpam-5162	72	2	pure	pure	PROPN
ejpam-5162	72	3	appl	appl	PROPN
ejpam-5162	72	4	.	.	PROPN
ejpam-5162	72	5	math	math	PROPN
ejpam-5162	72	6	,	,	PUNCT
ejpam-5162	72	7	17	17	NUM
ejpam-5162	72	8	(	(	PUNCT
ejpam-5162	72	9	2	2	NUM
ejpam-5162	72	10	)	)	PUNCT
ejpam-5162	72	11	(	(	PUNCT
ejpam-5162	72	12	2024	2024	NUM
ejpam-5162	72	13	)	)	PUNCT
ejpam-5162	72	14	,	,	PUNCT
ejpam-5162	72	15	1228	1228	NUM
ejpam-5162	72	16	-	-	SYM
ejpam-5162	72	17	1243	1243	NUM
ejpam-5162	72	18	1231	1231	NUM
ejpam-5162	72	19	definition	definition	NOUN
ejpam-5162	72	20	5	5	NUM
ejpam-5162	72	21	.	.	PUNCT
ejpam-5162	73	1	(	(	PUNCT
ejpam-5162	73	2	feasible	feasible	ADJ
ejpam-5162	73	3	solution	solution	NOUN
ejpam-5162	73	4	)	)	PUNCT
ejpam-5162	73	5	.	.	PUNCT
ejpam-5162	74	1	any	any	DET
ejpam-5162	74	2	set	set	NOUN
ejpam-5162	74	3	of	of	ADP
ejpam-5162	74	4	{	{	PUNCT
ejpam-5162	74	5	xij	xij	X
ejpam-5162	74	6	≥	≥	PROPN
ejpam-5162	74	7	0	0	NUM
ejpam-5162	74	8	,	,	PUNCT
ejpam-5162	74	9	i	i	PRON
ejpam-5162	74	10	=	=	NOUN
ejpam-5162	74	11	1	1	NUM
ejpam-5162	74	12	,	,	PUNCT
ejpam-5162	74	13	2	2	NUM
ejpam-5162	74	14	,	,	PUNCT
ejpam-5162	74	15	...	...	PUNCT
ejpam-5162	74	16	,	,	PUNCT
ejpam-5162	74	17	m	m	PROPN
ejpam-5162	74	18	;	;	PUNCT
ejpam-5162	74	19	j	j	PROPN
ejpam-5162	74	20	=	=	SYM
ejpam-5162	74	21	1	1	NUM
ejpam-5162	74	22	,	,	PUNCT
ejpam-5162	74	23	2	2	NUM
ejpam-5162	74	24	,	,	PUNCT
ejpam-5162	74	25	...	...	PUNCT
ejpam-5162	74	26	n	n	CCONJ
ejpam-5162	74	27	}	}	PUNCT
ejpam-5162	74	28	that	that	PRON
ejpam-5162	74	29	satisfies	satisfy	VERB
ejpam-5162	74	30	all	all	DET
ejpam-5162	74	31	the	the	DET
ejpam-5162	74	32	constraints	constraint	NOUN
ejpam-5162	74	33	is	be	AUX
ejpam-5162	74	34	called	call	VERB
ejpam-5162	74	35	a	a	DET
ejpam-5162	74	36	feasible	feasible	ADJ
ejpam-5162	74	37	solution	solution	NOUN
ejpam-5162	74	38	to	to	ADP
ejpam-5162	74	39	the	the	DET
ejpam-5162	74	40	problem	problem	NOUN
ejpam-5162	74	41	.	.	PUNCT
ejpam-5162	75	1	definition	definition	NOUN
ejpam-5162	75	2	6	6	NUM
ejpam-5162	75	3	.	.	PUNCT
ejpam-5162	76	1	(	(	PUNCT
ejpam-5162	76	2	optimal	optimal	ADJ
ejpam-5162	76	3	solution).a	solution).a	VERB
ejpam-5162	76	4	feasible	feasible	ADJ
ejpam-5162	76	5	solution	solution	NOUN
ejpam-5162	76	6	to	to	ADP
ejpam-5162	76	7	the	the	DET
ejpam-5162	76	8	problem	problem	NOUN
ejpam-5162	76	9	which	which	PRON
ejpam-5162	76	10	minimizes	minimize	VERB
ejpam-5162	76	11	the	the	DET
ejpam-5162	76	12	total	total	ADJ
ejpam-5162	76	13	shipping	shipping	NOUN
ejpam-5162	76	14	cost	cost	NOUN
ejpam-5162	76	15	is	be	AUX
ejpam-5162	76	16	called	call	VERB
ejpam-5162	76	17	an	an	DET
ejpam-5162	76	18	optimal	optimal	ADJ
ejpam-5162	76	19	solution	solution	NOUN
ejpam-5162	76	20	to	to	ADP
ejpam-5162	76	21	the	the	DET
ejpam-5162	76	22	problem	problem	NOUN
ejpam-5162	76	23	.	.	PUNCT
ejpam-5162	77	1	2.1	2.1	NUM
ejpam-5162	77	2	.	.	PUNCT
ejpam-5162	78	1	lomax	lomax	PROPN
ejpam-5162	78	2	distribution	distribution	NOUN
ejpam-5162	78	3	the	the	DET
ejpam-5162	78	4	lomax	lomax	PROPN
ejpam-5162	78	5	distribution	distribution	NOUN
ejpam-5162	78	6	,	,	PUNCT
ejpam-5162	78	7	also	also	ADV
ejpam-5162	78	8	known	know	VERB
ejpam-5162	78	9	as	as	ADP
ejpam-5162	78	10	the	the	DET
ejpam-5162	78	11	pareto	pareto	ADJ
ejpam-5162	78	12	type	type	NOUN
ejpam-5162	78	13	ii	ii	NOUN
ejpam-5162	78	14	distribution	distribution	NOUN
ejpam-5162	78	15	[	[	X
ejpam-5162	78	16	25	25	NUM
ejpam-5162	78	17	]	]	PUNCT
ejpam-5162	78	18	,	,	PUNCT
ejpam-5162	78	19	is	be	AUX
ejpam-5162	78	20	a	a	DET
ejpam-5162	78	21	probability	probability	NOUN
ejpam-5162	78	22	distribution	distribution	NOUN
ejpam-5162	78	23	commonly	commonly	ADV
ejpam-5162	78	24	used	use	VERB
ejpam-5162	78	25	to	to	PART
ejpam-5162	78	26	model	model	VERB
ejpam-5162	78	27	heavy	heavy	ADJ
ejpam-5162	78	28	-	-	PUNCT
ejpam-5162	78	29	tailed	tail	VERB
ejpam-5162	78	30	and	and	CCONJ
ejpam-5162	78	31	skewed	skewed	ADJ
ejpam-5162	78	32	data	datum	NOUN
ejpam-5162	78	33	.	.	PUNCT
ejpam-5162	79	1	definition	definition	NOUN
ejpam-5162	79	2	7	7	NUM
ejpam-5162	79	3	.	.	PUNCT
ejpam-5162	80	1	(	(	PUNCT
ejpam-5162	80	2	lomax	lomax	NOUN
ejpam-5162	80	3	distribution	distribution	NOUN
ejpam-5162	80	4	)	)	PUNCT
ejpam-5162	80	5	.	.	PUNCT
ejpam-5162	81	1	[	[	X
ejpam-5162	81	2	23	23	NUM
ejpam-5162	81	3	]	]	X
ejpam-5162	81	4	[	[	X
ejpam-5162	81	5	24	24	NUM
ejpam-5162	81	6	]	]	PUNCT
ejpam-5162	81	7	the	the	DET
ejpam-5162	81	8	lomax	lomax	PROPN
ejpam-5162	81	9	distribution	distribution	NOUN
ejpam-5162	81	10	expressed	express	VERB
ejpam-5162	81	11	as	as	ADP
ejpam-5162	81	12	the	the	DET
ejpam-5162	81	13	random	random	ADJ
ejpam-5162	81	14	variable	variable	NOUN
ejpam-5162	81	15	x	x	PUNCT
ejpam-5162	81	16	has	have	VERB
ejpam-5162	81	17	parameters	parameter	NOUN
ejpam-5162	81	18	scale	scale	PROPN
ejpam-5162	81	19	parameter	parameter	NOUN
ejpam-5162	81	20	β	β	X
ejpam-5162	81	21	and	and	CCONJ
ejpam-5162	81	22	shape	shape	NOUN
ejpam-5162	81	23	parameter	parameter	NOUN
ejpam-5162	81	24	α	α	PROPN
ejpam-5162	81	25	as	as	ADP
ejpam-5162	81	26	x	x	NOUN
ejpam-5162	81	27	∼	∼	NOUN
ejpam-5162	81	28	lomax(β	lomax(β	PROPN
ejpam-5162	81	29	,	,	PUNCT
ejpam-5162	81	30	α	α	NOUN
ejpam-5162	81	31	)	)	PUNCT
ejpam-5162	81	32	,	,	PUNCT
ejpam-5162	81	33	a	a	DET
ejpam-5162	81	34	lomax	lomax	PROPN
ejpam-5162	81	35	random	random	ADJ
ejpam-5162	81	36	variable	variable	NOUN
ejpam-5162	81	37	x	x	PUNCT
ejpam-5162	81	38	with	with	ADP
ejpam-5162	81	39	scale	scale	NOUN
ejpam-5162	81	40	parameter	parameter	NOUN
ejpam-5162	81	41	β	β	X
ejpam-5162	81	42	and	and	CCONJ
ejpam-5162	81	43	shape	shape	NOUN
ejpam-5162	81	44	parameter	parameter	NOUN
ejpam-5162	81	45	α	α	PROPN
ejpam-5162	81	46	has	have	VERB
ejpam-5162	81	47	probability	probability	NOUN
ejpam-5162	81	48	density	density	NOUN
ejpam-5162	81	49	function	function	NOUN
ejpam-5162	81	50	f(x	f(x	PROPN
ejpam-5162	81	51	)	)	PUNCT
ejpam-5162	82	1	=	=	PUNCT
ejpam-5162	82	2	α	α	X
ejpam-5162	82	3	β	β	X
ejpam-5162	82	4	(	(	PUNCT
ejpam-5162	82	5	1	1	NUM
ejpam-5162	82	6	+	+	CCONJ
ejpam-5162	82	7	x	x	SYM
ejpam-5162	82	8	β	β	X
ejpam-5162	82	9	)	)	PUNCT
ejpam-5162	82	10	−(α+1	−(α+1	NOUN
ejpam-5162	82	11	)	)	PUNCT
ejpam-5162	82	12	,	,	PUNCT
ejpam-5162	82	13	x	x	X
ejpam-5162	82	14	>	>	X
ejpam-5162	82	15	0	0	NUM
ejpam-5162	82	16	for	for	ADP
ejpam-5162	82	17	β	β	X
ejpam-5162	82	18	>	>	X
ejpam-5162	82	19	0	0	PROPN
ejpam-5162	82	20	,	,	PUNCT
ejpam-5162	82	21	α	α	NOUN
ejpam-5162	82	22	>	>	X
ejpam-5162	82	23	0	0	PROPN
ejpam-5162	82	24	.	.	PUNCT
ejpam-5162	83	1	the	the	DET
ejpam-5162	83	2	cumulative	cumulative	ADJ
ejpam-5162	83	3	distribution	distribution	NOUN
ejpam-5162	83	4	function	function	NOUN
ejpam-5162	83	5	is	be	AUX
ejpam-5162	83	6	as	as	SCONJ
ejpam-5162	83	7	follows	follow	VERB
ejpam-5162	83	8	by	by	ADP
ejpam-5162	83	9	f	f	PROPN
ejpam-5162	83	10	(	(	PUNCT
ejpam-5162	83	11	x	x	NOUN
ejpam-5162	83	12	)	)	PUNCT
ejpam-5162	83	13	=	=	SYM
ejpam-5162	83	14	1−	1−	NUM
ejpam-5162	83	15	(	(	PUNCT
ejpam-5162	83	16	1	1	NUM
ejpam-5162	83	17	+	+	CCONJ
ejpam-5162	83	18	x	x	SYM
ejpam-5162	83	19	β	β	X
ejpam-5162	83	20	)	)	PUNCT
ejpam-5162	83	21	−α	−α	NOUN
ejpam-5162	83	22	where	where	SCONJ
ejpam-5162	83	23	α	α	PROPN
ejpam-5162	83	24	and	and	CCONJ
ejpam-5162	83	25	β	β	X
ejpam-5162	83	26	are	be	AUX
ejpam-5162	83	27	the	the	DET
ejpam-5162	83	28	shape	shape	NOUN
ejpam-5162	83	29	and	and	CCONJ
ejpam-5162	83	30	scale	scale	NOUN
ejpam-5162	83	31	parameters	parameter	NOUN
ejpam-5162	83	32	,	,	PUNCT
ejpam-5162	83	33	respectively	respectively	ADV
ejpam-5162	83	34	,	,	PUNCT
ejpam-5162	83	35	and	and	CCONJ
ejpam-5162	83	36	x	x	X
ejpam-5162	83	37	>	>	X
ejpam-5162	83	38	0	0	PROPN
ejpam-5162	83	39	,	,	PUNCT
ejpam-5162	83	40	β	β	X
ejpam-5162	83	41	>	>	X
ejpam-5162	83	42	0	0	PROPN
ejpam-5162	83	43	,	,	PUNCT
ejpam-5162	83	44	α	α	NOUN
ejpam-5162	83	45	>	>	X
ejpam-5162	83	46	0	0	NUM
ejpam-5162	83	47	.	.	PUNCT
ejpam-5162	84	1	one	one	NUM
ejpam-5162	84	2	specific	specific	ADJ
ejpam-5162	84	3	aspect	aspect	NOUN
ejpam-5162	84	4	that	that	PRON
ejpam-5162	84	5	has	have	AUX
ejpam-5162	84	6	gained	gain	VERB
ejpam-5162	84	7	attention	attention	NOUN
ejpam-5162	84	8	in	in	ADP
ejpam-5162	84	9	stochastic	stochastic	ADJ
ejpam-5162	84	10	transportation	transportation	NOUN
ejpam-5162	84	11	modeling	modeling	NOUN
ejpam-5162	84	12	is	be	AUX
ejpam-5162	84	13	the	the	DET
ejpam-5162	84	14	involvement	involvement	NOUN
ejpam-5162	84	15	of	of	ADP
ejpam-5162	84	16	the	the	DET
ejpam-5162	84	17	lomax	lomax	PROPN
ejpam-5162	84	18	distribution	distribution	NOUN
ejpam-5162	84	19	.	.	PUNCT
ejpam-5162	85	1	the	the	DET
ejpam-5162	85	2	real	real	ADJ
ejpam-5162	85	3	motivation	motivation	NOUN
ejpam-5162	85	4	behind	behind	ADP
ejpam-5162	85	5	incorporating	incorporate	VERB
ejpam-5162	85	6	the	the	DET
ejpam-5162	85	7	lomax	lomax	PROPN
ejpam-5162	85	8	distribution	distribution	NOUN
ejpam-5162	85	9	into	into	ADP
ejpam-5162	85	10	stochastic	stochastic	ADJ
ejpam-5162	85	11	transportation	transportation	NOUN
ejpam-5162	85	12	modeling	modeling	NOUN
ejpam-5162	85	13	lies	lie	VERB
ejpam-5162	85	14	in	in	ADP
ejpam-5162	85	15	its	its	PRON
ejpam-5162	85	16	ability	ability	NOUN
ejpam-5162	85	17	to	to	PART
ejpam-5162	85	18	capture	capture	VERB
ejpam-5162	85	19	the	the	DET
ejpam-5162	85	20	variability	variability	NOUN
ejpam-5162	85	21	and	and	CCONJ
ejpam-5162	85	22	uncertainty	uncertainty	NOUN
ejpam-5162	85	23	in	in	ADP
ejpam-5162	85	24	transportation	transportation	NOUN
ejpam-5162	85	25	parameters	parameter	NOUN
ejpam-5162	85	26	such	such	ADJ
ejpam-5162	85	27	as	as	ADP
ejpam-5162	85	28	supply	supply	NOUN
ejpam-5162	85	29	and	and	CCONJ
ejpam-5162	85	30	demand	demand	NOUN
ejpam-5162	85	31	.	.	PUNCT
ejpam-5162	86	1	by	by	ADP
ejpam-5162	86	2	using	use	VERB
ejpam-5162	86	3	the	the	DET
ejpam-5162	86	4	lomax	lomax	PROPN
ejpam-5162	86	5	distribution	distribution	NOUN
ejpam-5162	86	6	,	,	PUNCT
ejpam-5162	86	7	researchers	researcher	NOUN
ejpam-5162	86	8	aim	aim	VERB
ejpam-5162	86	9	to	to	PART
ejpam-5162	86	10	better	well	ADV
ejpam-5162	86	11	represent	represent	VERB
ejpam-5162	86	12	the	the	DET
ejpam-5162	86	13	range	range	NOUN
ejpam-5162	86	14	of	of	ADP
ejpam-5162	86	15	possible	possible	ADJ
ejpam-5162	86	16	values	value	NOUN
ejpam-5162	86	17	for	for	ADP
ejpam-5162	86	18	these	these	DET
ejpam-5162	86	19	parameters	parameter	NOUN
ejpam-5162	86	20	and	and	CCONJ
ejpam-5162	86	21	incorporate	incorporate	VERB
ejpam-5162	86	22	their	their	PRON
ejpam-5162	86	23	probabilistic	probabilistic	ADJ
ejpam-5162	86	24	nature	nature	NOUN
ejpam-5162	86	25	into	into	ADP
ejpam-5162	86	26	the	the	DET
ejpam-5162	86	27	modeling	modeling	NOUN
ejpam-5162	86	28	process	process	NOUN
ejpam-5162	86	29	.	.	PUNCT
ejpam-5162	87	1	by	by	ADP
ejpam-5162	87	2	doing	do	VERB
ejpam-5162	87	3	so	so	ADV
ejpam-5162	87	4	,	,	PUNCT
ejpam-5162	87	5	they	they	PRON
ejpam-5162	87	6	can	can	AUX
ejpam-5162	87	7	obtain	obtain	VERB
ejpam-5162	87	8	more	more	ADV
ejpam-5162	87	9	realistic	realistic	ADJ
ejpam-5162	87	10	and	and	CCONJ
ejpam-5162	87	11	robust	robust	ADJ
ejpam-5162	87	12	transportation	transportation	NOUN
ejpam-5162	87	13	models	model	NOUN
ejpam-5162	87	14	that	that	PRON
ejpam-5162	87	15	account	account	VERB
ejpam-5162	87	16	for	for	ADP
ejpam-5162	87	17	the	the	DET
ejpam-5162	87	18	inherent	inherent	ADJ
ejpam-5162	87	19	uncertainty	uncertainty	NOUN
ejpam-5162	87	20	in	in	ADP
ejpam-5162	87	21	the	the	DET
ejpam-5162	87	22	system	system	NOUN
ejpam-5162	87	23	.	.	PUNCT
ejpam-5162	88	1	additionally	additionally	ADV
ejpam-5162	88	2	,	,	PUNCT
ejpam-5162	88	3	the	the	DET
ejpam-5162	88	4	lomax	lomax	PROPN
ejpam-5162	88	5	distribution	distribution	NOUN
ejpam-5162	88	6	provides	provide	VERB
ejpam-5162	88	7	flexibility	flexibility	NOUN
ejpam-5162	88	8	in	in	ADP
ejpam-5162	88	9	handling	handle	VERB
ejpam-5162	88	10	mixed	mixed	ADJ
ejpam-5162	88	11	-	-	PUNCT
ejpam-5162	88	12	type	type	NOUN
ejpam-5162	88	13	restrictions	restriction	NOUN
ejpam-5162	88	14	and	and	CCONJ
ejpam-5162	88	15	fuzzy	fuzzy	ADJ
ejpam-5162	88	16	objective	objective	ADJ
ejpam-5162	88	17	functions	function	NOUN
ejpam-5162	88	18	,	,	PUNCT
ejpam-5162	88	19	allowing	allow	VERB
ejpam-5162	88	20	for	for	ADP
ejpam-5162	88	21	a	a	DET
ejpam-5162	88	22	more	more	ADV
ejpam-5162	88	23	comprehensive	comprehensive	ADJ
ejpam-5162	88	24	analysis	analysis	NOUN
ejpam-5162	88	25	of	of	ADP
ejpam-5162	88	26	the	the	DET
ejpam-5162	88	27	transportation	transportation	NOUN
ejpam-5162	88	28	problem	problem	NOUN
ejpam-5162	88	29	under	under	ADP
ejpam-5162	88	30	uncertain	uncertain	ADJ
ejpam-5162	88	31	conditions	condition	NOUN
ejpam-5162	88	32	.	.	PUNCT
ejpam-5162	89	1	probabilistic	probabilistic	ADJ
ejpam-5162	89	2	programming	programming	NOUN
ejpam-5162	89	3	is	be	AUX
ejpam-5162	89	4	a	a	DET
ejpam-5162	89	5	mathematical	mathematical	ADJ
ejpam-5162	89	6	programming	programming	NOUN
ejpam-5162	89	7	approach	approach	NOUN
ejpam-5162	89	8	that	that	PRON
ejpam-5162	89	9	is	be	AUX
ejpam-5162	89	10	utilized	utilize	VERB
ejpam-5162	89	11	when	when	SCONJ
ejpam-5162	89	12	some	some	PRON
ejpam-5162	89	13	or	or	CCONJ
ejpam-5162	89	14	all	all	PRON
ejpam-5162	89	15	of	of	ADP
ejpam-5162	89	16	the	the	DET
ejpam-5162	89	17	model	model	NOUN
ejpam-5162	89	18	parameters	parameter	NOUN
ejpam-5162	89	19	are	be	AUX
ejpam-5162	89	20	random	random	ADJ
ejpam-5162	89	21	and	and	CCONJ
ejpam-5162	89	22	follow	follow	VERB
ejpam-5162	89	23	a	a	DET
ejpam-5162	89	24	probability	probability	NOUN
ejpam-5162	89	25	distribution	distribution	NOUN
ejpam-5162	89	26	.	.	PUNCT
ejpam-5162	90	1	charnes	charne	NOUN
ejpam-5162	90	2	and	and	CCONJ
ejpam-5162	90	3	cooper	cooper	NOUN
ejpam-5162	91	1	[	[	X
ejpam-5162	91	2	10	10	NUM
ejpam-5162	91	3	]	]	PUNCT
ejpam-5162	91	4	established	establish	VERB
ejpam-5162	91	5	the	the	DET
ejpam-5162	91	6	chance	chance	NOUN
ejpam-5162	91	7	-	-	PUNCT
ejpam-5162	91	8	constrained	constrain	VERB
ejpam-5162	91	9	programming	programming	NOUN
ejpam-5162	91	10	technique	technique	NOUN
ejpam-5162	91	11	for	for	ADP
ejpam-5162	91	12	individual	individual	ADJ
ejpam-5162	91	13	probabilistic	probabilistic	ADJ
ejpam-5162	91	14	constraints	constraint	NOUN
ejpam-5162	91	15	.	.	PUNCT
ejpam-5162	92	1	rasha	rasha	PROPN
ejpam-5162	92	2	[	[	X
ejpam-5162	92	3	14	14	NUM
ejpam-5162	92	4	]	]	PUNCT
ejpam-5162	92	5	revealed	reveal	VERB
ejpam-5162	92	6	how	how	SCONJ
ejpam-5162	92	7	to	to	PART
ejpam-5162	92	8	turn	turn	VERB
ejpam-5162	92	9	chance	chance	NOUN
ejpam-5162	92	10	constraints	constraint	NOUN
ejpam-5162	92	11	into	into	ADP
ejpam-5162	92	12	similar	similar	ADJ
ejpam-5162	92	13	deterministic	deterministic	ADJ
ejpam-5162	92	14	linear	linear	NOUN
ejpam-5162	92	15	constraints	constraint	NOUN
ejpam-5162	92	16	in	in	ADP
ejpam-5162	92	17	the	the	DET
ejpam-5162	92	18	lomax	lomax	PROPN
ejpam-5162	92	19	distribution	distribution	NOUN
ejpam-5162	92	20	,	,	PUNCT
ejpam-5162	92	21	as	as	SCONJ
ejpam-5162	92	22	presented	present	VERB
ejpam-5162	92	23	here	here	ADV
ejpam-5162	92	24	,	,	PUNCT
ejpam-5162	92	25	offers	offer	VERB
ejpam-5162	92	26	equal	equal	ADJ
ejpam-5162	92	27	deterministic	deterministic	ADJ
ejpam-5162	92	28	constraints	constraint	NOUN
ejpam-5162	92	29	for	for	ADP
ejpam-5162	92	30	individual	individual	ADJ
ejpam-5162	92	31	and	and	CCONJ
ejpam-5162	92	32	joint	joint	ADJ
ejpam-5162	92	33	constraints	constraint	NOUN
ejpam-5162	92	34	.	.	PUNCT
ejpam-5162	93	1	p.	p.	NOUN
ejpam-5162	93	2	bhavana	bhavana	PROPN
ejpam-5162	93	3	,	,	PUNCT
ejpam-5162	93	4	d.	d.	PROPN
ejpam-5162	93	5	kalpana	kalpana	PROPN
ejpam-5162	93	6	/	/	SYM
ejpam-5162	93	7	eur	eur	PROPN
ejpam-5162	93	8	.	.	PUNCT
ejpam-5162	94	1	j.	j.	PROPN
ejpam-5162	94	2	pure	pure	PROPN
ejpam-5162	94	3	appl	appl	PROPN
ejpam-5162	94	4	.	.	PROPN
ejpam-5162	94	5	math	math	PROPN
ejpam-5162	94	6	,	,	PUNCT
ejpam-5162	94	7	17	17	NUM
ejpam-5162	94	8	(	(	PUNCT
ejpam-5162	94	9	2	2	NUM
ejpam-5162	94	10	)	)	PUNCT
ejpam-5162	94	11	(	(	PUNCT
ejpam-5162	94	12	2024	2024	NUM
ejpam-5162	94	13	)	)	PUNCT
ejpam-5162	94	14	,	,	PUNCT
ejpam-5162	94	15	1228	1228	NUM
ejpam-5162	94	16	-	-	SYM
ejpam-5162	94	17	1243	1243	NUM
ejpam-5162	94	18	1232	1232	NUM
ejpam-5162	94	19	the	the	DET
ejpam-5162	94	20	goal	goal	NOUN
ejpam-5162	94	21	of	of	ADP
ejpam-5162	94	22	the	the	DET
ejpam-5162	94	23	paper	paper	NOUN
ejpam-5162	94	24	is	be	AUX
ejpam-5162	94	25	to	to	PART
ejpam-5162	94	26	optimize	optimize	VERB
ejpam-5162	94	27	the	the	DET
ejpam-5162	94	28	transportation	transportation	NOUN
ejpam-5162	94	29	cost	cost	NOUN
ejpam-5162	94	30	in	in	ADP
ejpam-5162	94	31	the	the	DET
ejpam-5162	94	32	stochastic	stochastic	ADJ
ejpam-5162	94	33	transportation	transportation	NOUN
ejpam-5162	94	34	problem	problem	NOUN
ejpam-5162	94	35	under	under	ADP
ejpam-5162	94	36	probabilistic	probabilistic	ADJ
ejpam-5162	94	37	mixed	mixed	ADJ
ejpam-5162	94	38	constraints	constraint	NOUN
ejpam-5162	94	39	.	.	PUNCT
ejpam-5162	95	1	to	to	PART
ejpam-5162	95	2	achieve	achieve	VERB
ejpam-5162	95	3	this	this	PRON
ejpam-5162	95	4	,	,	PUNCT
ejpam-5162	95	5	transforms	transform	VERB
ejpam-5162	95	6	the	the	DET
ejpam-5162	95	7	probabilistic	probabilistic	ADJ
ejpam-5162	95	8	mixed	mixed	ADJ
ejpam-5162	95	9	constraints	constraint	NOUN
ejpam-5162	95	10	into	into	ADP
ejpam-5162	95	11	a	a	DET
ejpam-5162	95	12	deterministic	deterministic	ADJ
ejpam-5162	95	13	form	form	NOUN
ejpam-5162	95	14	using	use	VERB
ejpam-5162	95	15	the	the	DET
ejpam-5162	95	16	lomax	lomax	PROPN
ejpam-5162	95	17	distribution	distribution	NOUN
ejpam-5162	95	18	.	.	PUNCT
ejpam-5162	96	1	overall	overall	ADV
ejpam-5162	96	2	,	,	PUNCT
ejpam-5162	96	3	the	the	DET
ejpam-5162	96	4	real	real	ADJ
ejpam-5162	96	5	motivation	motivation	NOUN
ejpam-5162	96	6	of	of	ADP
ejpam-5162	96	7	lomax	lomax	PROPN
ejpam-5162	96	8	distribution	distribution	NOUN
ejpam-5162	96	9	involvement	involvement	NOUN
ejpam-5162	96	10	in	in	ADP
ejpam-5162	96	11	stochastic	stochastic	ADJ
ejpam-5162	96	12	transportation	transportation	NOUN
ejpam-5162	96	13	modeling	modeling	NOUN
ejpam-5162	96	14	is	be	AUX
ejpam-5162	96	15	to	to	PART
ejpam-5162	96	16	enhance	enhance	VERB
ejpam-5162	96	17	the	the	DET
ejpam-5162	96	18	accuracy	accuracy	NOUN
ejpam-5162	96	19	and	and	CCONJ
ejpam-5162	96	20	reliability	reliability	NOUN
ejpam-5162	96	21	of	of	ADP
ejpam-5162	96	22	transportation	transportation	NOUN
ejpam-5162	96	23	models	model	NOUN
ejpam-5162	96	24	by	by	ADP
ejpam-5162	96	25	incorporating	incorporate	VERB
ejpam-5162	96	26	the	the	DET
ejpam-5162	96	27	probabilistic	probabilistic	ADJ
ejpam-5162	96	28	nature	nature	NOUN
ejpam-5162	96	29	of	of	ADP
ejpam-5162	96	30	transportation	transportation	NOUN
ejpam-5162	96	31	parameters	parameter	NOUN
ejpam-5162	96	32	and	and	CCONJ
ejpam-5162	96	33	capturing	capture	VERB
ejpam-5162	96	34	the	the	DET
ejpam-5162	96	35	variability	variability	NOUN
ejpam-5162	96	36	and	and	CCONJ
ejpam-5162	96	37	uncertainty	uncertainty	NOUN
ejpam-5162	96	38	present	present	ADJ
ejpam-5162	96	39	in	in	ADP
ejpam-5162	96	40	real	real	ADJ
ejpam-5162	96	41	-	-	PUNCT
ejpam-5162	96	42	world	world	NOUN
ejpam-5162	96	43	transportation	transportation	NOUN
ejpam-5162	96	44	systems	system	NOUN
ejpam-5162	96	45	.	.	PUNCT
ejpam-5162	97	1	3	3	X
ejpam-5162	97	2	.	.	X
ejpam-5162	97	3	main	main	ADJ
ejpam-5162	97	4	results	result	NOUN
ejpam-5162	97	5	3.1	3.1	NUM
ejpam-5162	97	6	.	.	PUNCT
ejpam-5162	98	1	formulation	formulation	NOUN
ejpam-5162	98	2	of	of	ADP
ejpam-5162	98	3	the	the	DET
ejpam-5162	98	4	stochastic	stochastic	ADJ
ejpam-5162	98	5	transportation	transportation	NOUN
ejpam-5162	98	6	problem	problem	NOUN
ejpam-5162	98	7	by	by	ADP
ejpam-5162	98	8	using	use	VERB
ejpam-5162	98	9	lomax	lomax	PROPN
ejpam-5162	98	10	distribution	distribution	NOUN
ejpam-5162	98	11	the	the	DET
ejpam-5162	98	12	following	follow	VERB
ejpam-5162	98	13	is	be	AUX
ejpam-5162	98	14	our	our	PRON
ejpam-5162	98	15	definition	definition	NOUN
ejpam-5162	98	16	of	of	ADP
ejpam-5162	98	17	the	the	DET
ejpam-5162	98	18	transportation	transportation	NOUN
ejpam-5162	98	19	issue	issue	NOUN
ejpam-5162	98	20	with	with	ADP
ejpam-5162	98	21	mixed	mixed	ADJ
ejpam-5162	98	22	constraints	constraint	NOUN
ejpam-5162	98	23	.	.	PUNCT
ejpam-5162	99	1	let	let	VERB
ejpam-5162	99	2	us	we	PRON
ejpam-5162	99	3	assume	assume	VERB
ejpam-5162	99	4	that	that	SCONJ
ejpam-5162	99	5	there	there	PRON
ejpam-5162	99	6	are	be	VERB
ejpam-5162	99	7	m	m	NOUN
ejpam-5162	99	8	origins	origin	NOUN
ejpam-5162	99	9	,	,	PUNCT
ejpam-5162	99	10	oi	oi	INTJ
ejpam-5162	99	11	,	,	PUNCT
ejpam-5162	99	12	{	{	PUNCT
ejpam-5162	99	13	i	i	NOUN
ejpam-5162	99	14	=	=	SYM
ejpam-5162	99	15	1,2,,,,,,,m	1,2,,,,,,,m	NUM
ejpam-5162	99	16	}	}	PUNCT
ejpam-5162	99	17	divided	divide	VERB
ejpam-5162	99	18	into	into	ADP
ejpam-5162	99	19	sets	set	NOUN
ejpam-5162	99	20	i1	i1	PROPN
ejpam-5162	99	21	,	,	PUNCT
ejpam-5162	99	22	i2	i2	PROPN
ejpam-5162	99	23	,	,	PUNCT
ejpam-5162	99	24	i3	i3	NOUN
ejpam-5162	99	25	,	,	PUNCT
ejpam-5162	99	26	such	such	ADJ
ejpam-5162	99	27	that	that	SCONJ
ejpam-5162	99	28	the	the	DET
ejpam-5162	99	29	origin	origin	NOUN
ejpam-5162	99	30	oi(i	oi(i	CCONJ
ejpam-5162	99	31	∈	∈	PROPN
ejpam-5162	99	32	i1	i1	PROPN
ejpam-5162	99	33	)	)	PUNCT
ejpam-5162	99	34	must	must	AUX
ejpam-5162	99	35	distribute	distribute	VERB
ejpam-5162	99	36	at	at	ADP
ejpam-5162	99	37	least	least	ADJ
ejpam-5162	99	38	at	at	ADP
ejpam-5162	99	39	ai	ai	PROPN
ejpam-5162	99	40	supply	supply	NOUN
ejpam-5162	99	41	units	unit	NOUN
ejpam-5162	99	42	,	,	PUNCT
ejpam-5162	99	43	oi(i	oi(i	X
ejpam-5162	99	44	∈	∈	PROPN
ejpam-5162	99	45	i2	i2	PROPN
ejpam-5162	99	46	)	)	PUNCT
ejpam-5162	99	47	must	must	AUX
ejpam-5162	99	48	distribute	distribute	VERB
ejpam-5162	99	49	precisely	precisely	ADV
ejpam-5162	99	50	at	at	ADP
ejpam-5162	99	51	ai	ai	PROPN
ejpam-5162	99	52	supply	supply	NOUN
ejpam-5162	99	53	units	unit	NOUN
ejpam-5162	99	54	,	,	PUNCT
ejpam-5162	99	55	and	and	CCONJ
ejpam-5162	99	56	oi(i	oi(i	NUM
ejpam-5162	99	57	∈	∈	NOUN
ejpam-5162	99	58	i3	i3	NOUN
ejpam-5162	99	59	)	)	PUNCT
ejpam-5162	99	60	may	may	AUX
ejpam-5162	99	61	distribute	distribute	VERB
ejpam-5162	99	62	at	at	ADV
ejpam-5162	99	63	most	most	ADJ
ejpam-5162	99	64	at	at	ADP
ejpam-5162	99	65	ai	ai	PROPN
ejpam-5162	99	66	supply	supply	NOUN
ejpam-5162	99	67	units	unit	NOUN
ejpam-5162	99	68	.	.	PUNCT
ejpam-5162	100	1	assume	assume	VERB
ejpam-5162	100	2	also	also	ADV
ejpam-5162	100	3	that	that	SCONJ
ejpam-5162	100	4	there	there	PRON
ejpam-5162	100	5	are	be	VERB
ejpam-5162	100	6	n	n	DET
ejpam-5162	100	7	destinations	destination	NOUN
ejpam-5162	100	8	,	,	PUNCT
ejpam-5162	100	9	dj	dj	X
ejpam-5162	100	10	{	{	PUNCT
ejpam-5162	100	11	j=1,2,	j=1,2,	NOUN
ejpam-5162	100	12	...	...	PUNCT
ejpam-5162	100	13	,n	,n	NOUN
ejpam-5162	100	14	}	}	PUNCT
ejpam-5162	100	15	,	,	PUNCT
ejpam-5162	100	16	divided	divide	VERB
ejpam-5162	100	17	into	into	ADP
ejpam-5162	100	18	sets	set	NOUN
ejpam-5162	100	19	j1	j1	PROPN
ejpam-5162	100	20	,	,	PUNCT
ejpam-5162	100	21	j2	j2	PROPN
ejpam-5162	100	22	,	,	PUNCT
ejpam-5162	100	23	j3	j3	PROPN
ejpam-5162	100	24	,	,	PUNCT
ejpam-5162	100	25	where	where	SCONJ
ejpam-5162	100	26	dj(j	dj(j	NUM
ejpam-5162	100	27	∈	∈	PROPN
ejpam-5162	100	28	j1	j1	PROPN
ejpam-5162	100	29	)	)	PUNCT
ejpam-5162	100	30	is	be	AUX
ejpam-5162	100	31	required	require	VERB
ejpam-5162	100	32	to	to	PART
ejpam-5162	100	33	receive	receive	VERB
ejpam-5162	100	34	a	a	DET
ejpam-5162	100	35	minimum	minimum	NOUN
ejpam-5162	100	36	of	of	ADP
ejpam-5162	100	37	bj	bj	NOUN
ejpam-5162	100	38	units	unit	NOUN
ejpam-5162	100	39	of	of	ADP
ejpam-5162	100	40	demand	demand	NOUN
ejpam-5162	100	41	,	,	PUNCT
ejpam-5162	100	42	dj(j	dj(j	NUM
ejpam-5162	100	43	∈	∈	PROPN
ejpam-5162	100	44	j2	j2	PROPN
ejpam-5162	100	45	)	)	PUNCT
ejpam-5162	100	46	an	an	DET
ejpam-5162	100	47	exact	exact	ADJ
ejpam-5162	100	48	amount	amount	NOUN
ejpam-5162	100	49	of	of	ADP
ejpam-5162	100	50	bj	bj	NOUN
ejpam-5162	100	51	units	unit	NOUN
ejpam-5162	100	52	of	of	ADP
ejpam-5162	100	53	demand	demand	NOUN
ejpam-5162	100	54	,	,	PUNCT
ejpam-5162	100	55	and	and	CCONJ
ejpam-5162	100	56	dj(j	dj(j	NUM
ejpam-5162	100	57	∈	∈	PROPN
ejpam-5162	100	58	j3	j3	PROPN
ejpam-5162	100	59	)	)	PUNCT
ejpam-5162	100	60	a	a	DET
ejpam-5162	100	61	maximum	maximum	NOUN
ejpam-5162	100	62	of	of	ADP
ejpam-5162	100	63	bj	bj	NOUN
ejpam-5162	100	64	units	unit	NOUN
ejpam-5162	100	65	of	of	ADP
ejpam-5162	100	66	demand	demand	NOUN
ejpam-5162	100	67	.	.	PUNCT
ejpam-5162	101	1	the	the	DET
ejpam-5162	101	2	main	main	ADJ
ejpam-5162	101	3	goal	goal	NOUN
ejpam-5162	101	4	is	be	AUX
ejpam-5162	101	5	to	to	PART
ejpam-5162	101	6	reduce	reduce	VERB
ejpam-5162	101	7	the	the	DET
ejpam-5162	101	8	overall	overall	ADJ
ejpam-5162	101	9	cost	cost	NOUN
ejpam-5162	101	10	of	of	ADP
ejpam-5162	101	11	shipping	shipping	NOUN
ejpam-5162	101	12	,	,	PUNCT
ejpam-5162	101	13	where	where	SCONJ
ejpam-5162	101	14	cij	cij	PROPN
ejpam-5162	101	15	represents	represent	VERB
ejpam-5162	101	16	the	the	DET
ejpam-5162	101	17	cost	cost	NOUN
ejpam-5162	101	18	of	of	ADP
ejpam-5162	101	19	shipping	shipping	NOUN
ejpam-5162	101	20	from	from	ADP
ejpam-5162	101	21	oitodj	oitodj	NOUN
ejpam-5162	101	22	and	and	CCONJ
ejpam-5162	101	23	xij	xij	PRON
ejpam-5162	101	24	represents	represent	VERB
ejpam-5162	101	25	the	the	DET
ejpam-5162	101	26	amount	amount	NOUN
ejpam-5162	101	27	of	of	ADP
ejpam-5162	101	28	shipping	shipping	NOUN
ejpam-5162	101	29	from	from	ADP
ejpam-5162	101	30	oitodj	oitodj	NOUN
ejpam-5162	101	31	.	.	PUNCT
ejpam-5162	102	1	all	all	DET
ejpam-5162	102	2	requests	request	NOUN
ejpam-5162	102	3	and	and	CCONJ
ejpam-5162	102	4	supply	supply	NOUN
ejpam-5162	102	5	are	be	AUX
ejpam-5162	102	6	considered	consider	VERB
ejpam-5162	102	7	to	to	PART
ejpam-5162	102	8	be	be	AUX
ejpam-5162	102	9	non	non	ADJ
ejpam-5162	102	10	-	-	ADJ
ejpam-5162	102	11	negative	negative	ADJ
ejpam-5162	102	12	.	.	PUNCT
ejpam-5162	103	1	applying	apply	VERB
ejpam-5162	103	2	the	the	DET
ejpam-5162	103	3	constraints	constraint	NOUN
ejpam-5162	103	4	in	in	ADP
ejpam-5162	103	5	the	the	DET
ejpam-5162	103	6	proposed	propose	VERB
ejpam-5162	103	7	tp	tp	PART
ejpam-5162	103	8	model	model	NOUN
ejpam-5162	103	9	to	to	ADP
ejpam-5162	103	10	the	the	DET
ejpam-5162	103	11	deterministic	deterministic	ADJ
ejpam-5162	103	12	constraints	constraint	NOUN
ejpam-5162	103	13	is	be	AUX
ejpam-5162	103	14	required	require	VERB
ejpam-5162	103	15	to	to	PART
ejpam-5162	103	16	obtain	obtain	VERB
ejpam-5162	103	17	the	the	DET
ejpam-5162	103	18	quantiles	quantile	NOUN
ejpam-5162	103	19	of	of	ADP
ejpam-5162	103	20	a	a	DET
ejpam-5162	103	21	probability	probability	NOUN
ejpam-5162	103	22	distribution	distribution	NOUN
ejpam-5162	103	23	function	function	NOUN
ejpam-5162	103	24	in	in	ADP
ejpam-5162	103	25	a	a	DET
ejpam-5162	103	26	closed	closed	ADJ
ejpam-5162	103	27	form	form	NOUN
ejpam-5162	103	28	.	.	PUNCT
ejpam-5162	104	1	the	the	DET
ejpam-5162	104	2	fact	fact	NOUN
ejpam-5162	104	3	that	that	SCONJ
ejpam-5162	104	4	the	the	DET
ejpam-5162	104	5	lomax	lomax	PROPN
ejpam-5162	104	6	distribution	distribution	NOUN
ejpam-5162	104	7	has	have	AUX
ejpam-5162	104	8	the	the	DET
ejpam-5162	104	9	quantiles	quantile	NOUN
ejpam-5162	104	10	in	in	ADP
ejpam-5162	104	11	their	their	PRON
ejpam-5162	104	12	closed	closed	ADJ
ejpam-5162	104	13	form	form	NOUN
ejpam-5162	104	14	is	be	AUX
ejpam-5162	104	15	also	also	ADV
ejpam-5162	104	16	another	another	DET
ejpam-5162	104	17	incentive	incentive	NOUN
ejpam-5162	104	18	to	to	PART
ejpam-5162	104	19	use	use	VERB
ejpam-5162	104	20	it	it	PRON
ejpam-5162	104	21	.	.	PUNCT
ejpam-5162	105	1	mathematically	mathematically	ADV
ejpam-5162	105	2	,	,	PUNCT
ejpam-5162	105	3	the	the	DET
ejpam-5162	105	4	transportation	transportation	NOUN
ejpam-5162	105	5	issue	issue	NOUN
ejpam-5162	105	6	with	with	ADP
ejpam-5162	105	7	mixed	mixed	ADJ
ejpam-5162	105	8	constraints	constraint	NOUN
ejpam-5162	105	9	may	may	AUX
ejpam-5162	105	10	be	be	AUX
ejpam-5162	105	11	expressed	express	VERB
ejpam-5162	105	12	as	as	SCONJ
ejpam-5162	105	13	follows	follow	VERB
ejpam-5162	105	14	:	:	PUNCT
ejpam-5162	106	1	minimizez	minimizez	NOUN
ejpam-5162	106	2	=	=	SYM
ejpam-5162	106	3	m∑	m∑	INTJ
ejpam-5162	106	4	i=1	i=1	PROPN
ejpam-5162	106	5	n∑	n∑	PROPN
ejpam-5162	107	1	j=1	j=1	PROPN
ejpam-5162	107	2	cijxij	cijxij	PROPN
ejpam-5162	107	3	,	,	PUNCT
ejpam-5162	107	4	subject	subject	ADJ
ejpam-5162	107	5	to	to	ADP
ejpam-5162	107	6	constraints	constraint	NOUN
ejpam-5162	107	7	,	,	PUNCT
ejpam-5162	107	8	p	p	X
ejpam-5162	107	9	(	(	PUNCT
ejpam-5162	107	10	∑	∑	PROPN
ejpam-5162	107	11	j	j	PROPN
ejpam-5162	107	12	=	=	PROPN
ejpam-5162	107	13	j	j	PROPN
ejpam-5162	107	14	xij	xij	PROPN
ejpam-5162	107	15	≥	≥	AUX
ejpam-5162	107	16	ai	ai	PROPN
ejpam-5162	107	17	)	)	PUNCT
ejpam-5162	107	18	≥	≥	NOUN
ejpam-5162	107	19	p	p	NOUN
ejpam-5162	107	20	(	(	PUNCT
ejpam-5162	107	21	ai	ai	NOUN
ejpam-5162	107	22	)	)	PUNCT
ejpam-5162	107	23	,	,	PUNCT
ejpam-5162	107	24	i	i	PROPN
ejpam-5162	107	25	∈	∈	PROPN
ejpam-5162	107	26	i1	i1	NOUN
ejpam-5162	107	27	=	=	PUNCT
ejpam-5162	107	28	1	1	NUM
ejpam-5162	107	29	,	,	PUNCT
ejpam-5162	107	30	2	2	NUM
ejpam-5162	107	31	,	,	PUNCT
ejpam-5162	107	32	....	....	PUNCT
ejpam-5162	108	1	m1	m1	PROPN
ejpam-5162	108	2	p	p	PROPN
ejpam-5162	108	3	(	(	PUNCT
ejpam-5162	108	4	∑	∑	PROPN
ejpam-5162	108	5	j	j	PROPN
ejpam-5162	108	6	=	=	PROPN
ejpam-5162	108	7	j	j	PROPN
ejpam-5162	108	8	xij	xij	PROPN
ejpam-5162	108	9	=	=	SYM
ejpam-5162	108	10	ai	ai	PROPN
ejpam-5162	108	11	)	)	PUNCT
ejpam-5162	108	12	≥	≥	NOUN
ejpam-5162	108	13	p	p	NOUN
ejpam-5162	108	14	(	(	PUNCT
ejpam-5162	108	15	ai	ai	NOUN
ejpam-5162	108	16	)	)	PUNCT
ejpam-5162	108	17	,	,	PUNCT
ejpam-5162	108	18	i	i	PROPN
ejpam-5162	108	19	∈	∈	PROPN
ejpam-5162	108	20	i2	i2	NOUN
ejpam-5162	108	21	=	=	PROPN
ejpam-5162	108	22	m1	m1	PROPN
ejpam-5162	108	23	+	+	CCONJ
ejpam-5162	108	24	1,m1	1,m1	NUM
ejpam-5162	108	25	+	+	CCONJ
ejpam-5162	108	26	2	2	NUM
ejpam-5162	108	27	,	,	PUNCT
ejpam-5162	108	28	....	....	PUNCT
ejpam-5162	109	1	m2	m2	PROPN
ejpam-5162	109	2	p	p	PROPN
ejpam-5162	109	3	(	(	PUNCT
ejpam-5162	109	4	∑	∑	PROPN
ejpam-5162	109	5	j	j	PROPN
ejpam-5162	109	6	=	=	PROPN
ejpam-5162	109	7	j	j	PROPN
ejpam-5162	109	8	xij	xij	PROPN
ejpam-5162	109	9	≤	≤	PROPN
ejpam-5162	109	10	ai	ai	VERB
ejpam-5162	109	11	)	)	PUNCT
ejpam-5162	109	12	≥	≥	NOUN
ejpam-5162	109	13	p	p	NOUN
ejpam-5162	109	14	(	(	PUNCT
ejpam-5162	109	15	ai	ai	NOUN
ejpam-5162	109	16	)	)	PUNCT
ejpam-5162	109	17	,	,	PUNCT
ejpam-5162	109	18	i	i	PRON
ejpam-5162	109	19	∈	∈	PROPN
ejpam-5162	109	20	i3	i3	NOUN
ejpam-5162	109	21	=	=	SYM
ejpam-5162	109	22	m2	m2	PROPN
ejpam-5162	109	23	+	+	CCONJ
ejpam-5162	109	24	1,m2	1,m2	NUM
ejpam-5162	109	25	+	+	CCONJ
ejpam-5162	109	26	2	2	NUM
ejpam-5162	109	27	,	,	PUNCT
ejpam-5162	109	28	....	....	PUNCT
ejpam-5162	110	1	m	m	AUX
ejpam-5162	110	2	p	p	X
ejpam-5162	110	3	(	(	PUNCT
ejpam-5162	110	4	∑	∑	PROPN
ejpam-5162	110	5	i	i	PRON
ejpam-5162	110	6	=	=	VERB
ejpam-5162	110	7	i	i	PRON
ejpam-5162	110	8	xij	xij	PROPN
ejpam-5162	110	9	≥	≥	AUX
ejpam-5162	110	10	bj	bj	PROPN
ejpam-5162	110	11	)	)	PUNCT
ejpam-5162	110	12	≥	≥	NOUN
ejpam-5162	111	1	p	p	NOUN
ejpam-5162	111	2	(	(	PUNCT
ejpam-5162	111	3	bj	bj	NOUN
ejpam-5162	111	4	)	)	PUNCT
ejpam-5162	111	5	,	,	PUNCT
ejpam-5162	111	6	j	j	PROPN
ejpam-5162	111	7	∈	∈	PROPN
ejpam-5162	111	8	j1	j1	PROPN
ejpam-5162	111	9	=	=	SYM
ejpam-5162	111	10	1	1	NUM
ejpam-5162	111	11	,	,	PUNCT
ejpam-5162	111	12	2	2	NUM
ejpam-5162	111	13	,	,	PUNCT
ejpam-5162	111	14	....	....	PUNCT
ejpam-5162	111	15	n1	n1	PROPN
ejpam-5162	111	16	p.	p.	PROPN
ejpam-5162	111	17	bhavana	bhavana	PROPN
ejpam-5162	111	18	,	,	PUNCT
ejpam-5162	111	19	d.	d.	PROPN
ejpam-5162	111	20	kalpana	kalpana	PROPN
ejpam-5162	111	21	/	/	SYM
ejpam-5162	111	22	eur	eur	PROPN
ejpam-5162	111	23	.	.	PUNCT
ejpam-5162	112	1	j.	j.	PROPN
ejpam-5162	112	2	pure	pure	PROPN
ejpam-5162	112	3	appl	appl	PROPN
ejpam-5162	112	4	.	.	PROPN
ejpam-5162	112	5	math	math	PROPN
ejpam-5162	112	6	,	,	PUNCT
ejpam-5162	112	7	17	17	NUM
ejpam-5162	112	8	(	(	PUNCT
ejpam-5162	112	9	2	2	NUM
ejpam-5162	112	10	)	)	PUNCT
ejpam-5162	112	11	(	(	PUNCT
ejpam-5162	112	12	2024	2024	NUM
ejpam-5162	112	13	)	)	PUNCT
ejpam-5162	112	14	,	,	PUNCT
ejpam-5162	112	15	1228	1228	NUM
ejpam-5162	112	16	-	-	SYM
ejpam-5162	112	17	1243	1243	NUM
ejpam-5162	112	18	1233	1233	NUM
ejpam-5162	112	19	p	p	NOUN
ejpam-5162	112	20	(	(	PUNCT
ejpam-5162	112	21	∑	∑	PROPN
ejpam-5162	112	22	i	i	PRON
ejpam-5162	112	23	=	=	VERB
ejpam-5162	112	24	i	i	PRON
ejpam-5162	112	25	xij	xij	NOUN
ejpam-5162	112	26	=	=	SYM
ejpam-5162	112	27	bj	bj	PROPN
ejpam-5162	112	28	)	)	PUNCT
ejpam-5162	112	29	≥	≥	NOUN
ejpam-5162	112	30	p	p	NOUN
ejpam-5162	112	31	(	(	PUNCT
ejpam-5162	112	32	bj	bj	NOUN
ejpam-5162	112	33	)	)	PUNCT
ejpam-5162	112	34	,	,	PUNCT
ejpam-5162	112	35	j	j	PROPN
ejpam-5162	112	36	∈	∈	PROPN
ejpam-5162	112	37	j2	j2	PROPN
ejpam-5162	112	38	=	=	SYM
ejpam-5162	112	39	n1	n1	PROPN
ejpam-5162	112	40	+	+	CCONJ
ejpam-5162	112	41	1	1	NUM
ejpam-5162	112	42	,	,	PUNCT
ejpam-5162	112	43	n1	n1	PROPN
ejpam-5162	112	44	+	+	CCONJ
ejpam-5162	112	45	2	2	NUM
ejpam-5162	112	46	,	,	PUNCT
ejpam-5162	112	47	....	....	PUNCT
ejpam-5162	112	48	n2	n2	PROPN
ejpam-5162	112	49	p	p	X
ejpam-5162	112	50	(	(	PUNCT
ejpam-5162	112	51	∑	∑	PROPN
ejpam-5162	112	52	i	i	PRON
ejpam-5162	112	53	=	=	VERB
ejpam-5162	112	54	i	i	PRON
ejpam-5162	112	55	xij	xij	PROPN
ejpam-5162	112	56	≤	≤	X
ejpam-5162	112	57	bj	bj	NOUN
ejpam-5162	112	58	)	)	PUNCT
ejpam-5162	112	59	≥	≥	NOUN
ejpam-5162	112	60	p	p	NOUN
ejpam-5162	112	61	(	(	PUNCT
ejpam-5162	112	62	bj	bj	NOUN
ejpam-5162	112	63	)	)	PUNCT
ejpam-5162	112	64	,	,	PUNCT
ejpam-5162	112	65	j	j	PROPN
ejpam-5162	112	66	∈	∈	PROPN
ejpam-5162	112	67	j3	j3	PROPN
ejpam-5162	112	68	=	=	PROPN
ejpam-5162	112	69	n2	n2	PROPN
ejpam-5162	112	70	+	+	CCONJ
ejpam-5162	112	71	1	1	NUM
ejpam-5162	112	72	,	,	PUNCT
ejpam-5162	112	73	n2	n2	ADJ
ejpam-5162	112	74	+	+	CCONJ
ejpam-5162	112	75	2	2	NUM
ejpam-5162	112	76	,	,	PUNCT
ejpam-5162	112	77	....	....	PUNCT
ejpam-5162	112	78	n	n	CCONJ
ejpam-5162	112	79	and	and	CCONJ
ejpam-5162	112	80	xij	xij	PRON
ejpam-5162	112	81	≥	≥	PROPN
ejpam-5162	112	82	0	0	NUM
ejpam-5162	112	83	,	,	PUNCT
ejpam-5162	112	84	i	i	PRON
ejpam-5162	112	85	∈	∈	VERB
ejpam-5162	113	1	i	i	PRON
ejpam-5162	113	2	,	,	PUNCT
ejpam-5162	113	3	j	j	PROPN
ejpam-5162	113	4	∈	∈	PROPN
ejpam-5162	113	5	j	j	PROPN
ejpam-5162	113	6	where	where	SCONJ
ejpam-5162	113	7	p	p	PROPN
ejpam-5162	113	8	(	(	PUNCT
ejpam-5162	113	9	ai	ai	NOUN
ejpam-5162	113	10	)	)	PUNCT
ejpam-5162	113	11	and	and	CCONJ
ejpam-5162	113	12	p	p	X
ejpam-5162	113	13	(	(	PUNCT
ejpam-5162	113	14	bj	bj	NOUN
ejpam-5162	113	15	)	)	PUNCT
ejpam-5162	113	16	are	be	AUX
ejpam-5162	113	17	the	the	DET
ejpam-5162	113	18	probabilities	probability	NOUN
ejpam-5162	113	19	of	of	ADP
ejpam-5162	113	20	the	the	DET
ejpam-5162	113	21	random	random	ADJ
ejpam-5162	113	22	variables	variable	NOUN
ejpam-5162	113	23	of	of	ADP
ejpam-5162	113	24	supply	supply	NOUN
ejpam-5162	113	25	and	and	CCONJ
ejpam-5162	113	26	demand	demand	NOUN
ejpam-5162	113	27	respecively	respecively	ADV
ejpam-5162	113	28	and	and	CCONJ
ejpam-5162	113	29	also	also	ADV
ejpam-5162	113	30	which	which	PRON
ejpam-5162	113	31	follows	follow	VERB
ejpam-5162	113	32	the	the	DET
ejpam-5162	113	33	lomax	lomax	PROPN
ejpam-5162	113	34	distribution	distribution	NOUN
ejpam-5162	113	35	.	.	PUNCT
ejpam-5162	114	1	the	the	DET
ejpam-5162	114	2	parameters	parameter	NOUN
ejpam-5162	114	3	of	of	ADP
ejpam-5162	114	4	the	the	DET
ejpam-5162	114	5	lomax	lomax	PROPN
ejpam-5162	114	6	distribution	distribution	NOUN
ejpam-5162	114	7	for	for	ADP
ejpam-5162	114	8	supply	supply	NOUN
ejpam-5162	114	9	ai	ai	VERB
ejpam-5162	114	10	has	have	VERB
ejpam-5162	114	11	shape	shape	NOUN
ejpam-5162	114	12	parameter	parameter	NOUN
ejpam-5162	114	13	αai	αai	ADJ
ejpam-5162	114	14	and	and	CCONJ
ejpam-5162	114	15	scale	scale	NOUN
ejpam-5162	114	16	parameter	parameter	NOUN
ejpam-5162	114	17	βai	βai	NOUN
ejpam-5162	114	18	.	.	PUNCT
ejpam-5162	115	1	like	like	INTJ
ejpam-5162	115	2	wise	wise	VERB
ejpam-5162	115	3	the	the	DET
ejpam-5162	115	4	parameters	parameter	NOUN
ejpam-5162	115	5	of	of	ADP
ejpam-5162	115	6	the	the	DET
ejpam-5162	115	7	lomax	lomax	PROPN
ejpam-5162	115	8	distribution	distribution	NOUN
ejpam-5162	115	9	for	for	ADP
ejpam-5162	115	10	demand	demand	NOUN
ejpam-5162	115	11	bj	bj	NOUN
ejpam-5162	115	12	has	have	VERB
ejpam-5162	115	13	shape	shape	NOUN
ejpam-5162	115	14	parameter	parameter	NOUN
ejpam-5162	115	15	αbj	αbj	NOUN
ejpam-5162	115	16	and	and	CCONJ
ejpam-5162	115	17	scale	scale	NOUN
ejpam-5162	115	18	parameter	parameter	NOUN
ejpam-5162	115	19	βbj	βbj	NOUN
ejpam-5162	115	20	.	.	PUNCT
ejpam-5162	116	1	the	the	DET
ejpam-5162	116	2	following	follow	VERB
ejpam-5162	116	3	cases	case	NOUN
ejpam-5162	116	4	are	be	AUX
ejpam-5162	116	5	to	to	PART
ejpam-5162	116	6	be	be	AUX
ejpam-5162	116	7	considered	consider	VERB
ejpam-5162	116	8	:	:	PUNCT
ejpam-5162	116	9	(	(	PUNCT
ejpam-5162	116	10	i	i	NOUN
ejpam-5162	116	11	)	)	PUNCT
ejpam-5162	116	12	only	only	ADV
ejpam-5162	116	13	ai	ai	VERB
ejpam-5162	116	14	,	,	PUNCT
ejpam-5162	116	15	i	i	PRON
ejpam-5162	116	16	=	=	NOUN
ejpam-5162	116	17	1	1	NUM
ejpam-5162	116	18	,	,	PUNCT
ejpam-5162	116	19	2	2	NUM
ejpam-5162	116	20	,	,	PUNCT
ejpam-5162	116	21	.	.	PUNCT
ejpam-5162	116	22	.	.	PUNCT
ejpam-5162	117	1	.	.	PUNCT
ejpam-5162	118	1	,	,	PUNCT
ejpam-5162	118	2	m	m	PROPN
ejpam-5162	118	3	follows	follow	VERB
ejpam-5162	118	4	ld	ld	PROPN
ejpam-5162	118	5	.	.	PUNCT
ejpam-5162	119	1	(	(	PUNCT
ejpam-5162	119	2	ii	ii	NOUN
ejpam-5162	119	3	)	)	PUNCT
ejpam-5162	119	4	only	only	ADV
ejpam-5162	119	5	bj	bj	VERB
ejpam-5162	119	6	,	,	PUNCT
ejpam-5162	119	7	j	j	PROPN
ejpam-5162	119	8	=	=	SYM
ejpam-5162	119	9	1	1	NUM
ejpam-5162	119	10	,	,	PUNCT
ejpam-5162	119	11	2	2	NUM
ejpam-5162	119	12	,	,	PUNCT
ejpam-5162	119	13	.	.	PUNCT
ejpam-5162	119	14	.	.	PUNCT
ejpam-5162	120	1	.	.	PUNCT
ejpam-5162	121	1	,	,	PUNCT
ejpam-5162	121	2	n	n	PRON
ejpam-5162	121	3	follows	follow	VERB
ejpam-5162	121	4	ld	ld	PROPN
ejpam-5162	121	5	.	.	PUNCT
ejpam-5162	122	1	(	(	PUNCT
ejpam-5162	122	2	iii	iii	X
ejpam-5162	122	3	)	)	PUNCT
ejpam-5162	122	4	both	both	PRON
ejpam-5162	122	5	ai	ai	VERB
ejpam-5162	122	6	and	and	CCONJ
ejpam-5162	122	7	bj	bj	VERB
ejpam-5162	122	8	,	,	PUNCT
ejpam-5162	122	9	i=1,2,	i=1,2,	NOUN
ejpam-5162	122	10	.....	.....	PROPN
ejpam-5162	122	11	m	m	PROPN
ejpam-5162	122	12	and	and	CCONJ
ejpam-5162	122	13	j=1,2,	j=1,2,	VERB
ejpam-5162	122	14	....	....	PUNCT
ejpam-5162	122	15	n	n	PRON
ejpam-5162	122	16	follows	follow	VERB
ejpam-5162	122	17	ld	ld	PROPN
ejpam-5162	122	18	.	.	PUNCT
ejpam-5162	122	19	case	case	NOUN
ejpam-5162	122	20	1	1	NUM
ejpam-5162	122	21	.	.	PUNCT
ejpam-5162	123	1	only	only	ADV
ejpam-5162	123	2	ai	ai	VERB
ejpam-5162	123	3	follows	follow	VERB
ejpam-5162	123	4	ld	ld	PROPN
ejpam-5162	123	5	for	for	ADP
ejpam-5162	123	6	p	p	PROPN
ejpam-5162	123	7	(	(	PUNCT
ejpam-5162	123	8	n∑	n∑	NOUN
ejpam-5162	123	9	j=1	j=1	PROPN
ejpam-5162	123	10	xij	xij	PROPN
ejpam-5162	123	11	≥	≥	AUX
ejpam-5162	123	12	ai	ai	VERB
ejpam-5162	123	13	)	)	PUNCT
ejpam-5162	123	14	≥	≥	NOUN
ejpam-5162	123	15	p	p	NOUN
ejpam-5162	123	16	(	(	PUNCT
ejpam-5162	123	17	ai	ai	NOUN
ejpam-5162	123	18	)	)	PUNCT
ejpam-5162	123	19	,	,	PUNCT
ejpam-5162	123	20	i	i	PROPN
ejpam-5162	123	21	∈	∈	PROPN
ejpam-5162	123	22	i1	i1	PROPN
ejpam-5162	123	23	,	,	PUNCT
ejpam-5162	123	24	p	p	X
ejpam-5162	123	25	(	(	PUNCT
ejpam-5162	123	26	ai	ai	VERB
ejpam-5162	123	27	≤	≤	NUM
ejpam-5162	124	1	n∑	n∑	PUNCT
ejpam-5162	124	2	j=1	j=1	PROPN
ejpam-5162	124	3	xij	xij	X
ejpam-5162	124	4	)	)	PUNCT
ejpam-5162	124	5	≥	≥	PROPN
ejpam-5162	125	1	p	p	NOUN
ejpam-5162	125	2	(	(	PUNCT
ejpam-5162	125	3	ai	ai	NOUN
ejpam-5162	125	4	)	)	PUNCT
ejpam-5162	125	5	,	,	PUNCT
ejpam-5162	125	6	i	i	PROPN
ejpam-5162	125	7	∈	∈	PROPN
ejpam-5162	125	8	i1	i1	PROPN
ejpam-5162	125	9	let	let	VERB
ejpam-5162	125	10	us	we	PRON
ejpam-5162	125	11	consider	consider	VERB
ejpam-5162	125	12	∑n	∑n	NOUN
ejpam-5162	125	13	j=1	j=1	PROPN
ejpam-5162	125	14	xij	xij	PROPN
ejpam-5162	125	15	=	=	PUNCT
ejpam-5162	126	1	δai	δai	NOUN
ejpam-5162	126	2	and	and	CCONJ
ejpam-5162	126	3	ai	ai	VERB
ejpam-5162	126	4	≥	≥	PROPN
ejpam-5162	126	5	ξaithen	ξaithen	SCONJ
ejpam-5162	126	6	p	p	X
ejpam-5162	126	7	(	(	PUNCT
ejpam-5162	126	8	ai	ai	VERB
ejpam-5162	126	9	≤	≤	NUM
ejpam-5162	126	10	δai	δai	NOUN
ejpam-5162	126	11	)	)	PUNCT
ejpam-5162	126	12	≥	≥	NOUN
ejpam-5162	126	13	p	p	X
ejpam-5162	126	14	(	(	PUNCT
ejpam-5162	126	15	ai	ai	NOUN
ejpam-5162	126	16	)	)	PUNCT
ejpam-5162	126	17	,	,	PUNCT
ejpam-5162	126	18	i	i	PROPN
ejpam-5162	126	19	∈	∈	PROPN
ejpam-5162	126	20	i1	i1	PROPN
ejpam-5162	126	21	now	now	ADV
ejpam-5162	126	22	by	by	ADP
ejpam-5162	126	23	using	use	VERB
ejpam-5162	126	24	lomax	lomax	PROPN
ejpam-5162	126	25	distribution	distribution	NOUN
ejpam-5162	126	26	pdf	pdf	NOUN
ejpam-5162	126	27	,	,	PUNCT
ejpam-5162	126	28	integrating	integrate	VERB
ejpam-5162	126	29	from∫	from∫	NOUN
ejpam-5162	126	30	δai	δai	PROPN
ejpam-5162	126	31	ξai	ξai	PROPN
ejpam-5162	126	32	αai	αai	PROPN
ejpam-5162	126	33	βai	βai	NOUN
ejpam-5162	126	34	(	(	PUNCT
ejpam-5162	126	35	1	1	NUM
ejpam-5162	126	36	+	+	CCONJ
ejpam-5162	126	37	ai	ai	VERB
ejpam-5162	126	38	−	−	PROPN
ejpam-5162	126	39	ξai	ξai	PROPN
ejpam-5162	126	40	βai	βai	NOUN
ejpam-5162	126	41	)	)	PUNCT
ejpam-5162	127	1	−(αai+1)dai	−(αai+1)dai	PROPN
ejpam-5162	127	2	≥	≥	NUM
ejpam-5162	128	1	p	p	X
ejpam-5162	128	2	(	(	PUNCT
ejpam-5162	128	3	ai	ai	NOUN
ejpam-5162	128	4	)	)	PUNCT
ejpam-5162	129	1	[	[	X
ejpam-5162	129	2	−(1	−(1	NOUN
ejpam-5162	129	3	+	+	CCONJ
ejpam-5162	129	4	ai	ai	VERB
ejpam-5162	129	5	−	−	PROPN
ejpam-5162	129	6	ξai	ξai	PROPN
ejpam-5162	129	7	βai	βai	NOUN
ejpam-5162	129	8	)	)	PUNCT
ejpam-5162	129	9	−αai	−αai	NOUN
ejpam-5162	129	10	]	]	PUNCT
ejpam-5162	129	11	δaiξai	δaiξai	NOUN
ejpam-5162	129	12	≥	≥	PROPN
ejpam-5162	129	13	p	p	X
ejpam-5162	129	14	(	(	PUNCT
ejpam-5162	129	15	ai	ai	NOUN
ejpam-5162	129	16	)	)	PUNCT
ejpam-5162	129	17	1	1	NUM
ejpam-5162	130	1	+	+	NUM
ejpam-5162	130	2	δai	δai	NOUN
ejpam-5162	130	3	−	−	PROPN
ejpam-5162	130	4	ξai	ξai	PROPN
ejpam-5162	130	5	βai	βai	VERB
ejpam-5162	130	6	≤	≤	PUNCT
ejpam-5162	130	7	−(p	−(p	NOUN
ejpam-5162	130	8	(	(	PUNCT
ejpam-5162	130	9	ai)−	ai)−	NOUN
ejpam-5162	130	10	1	1	NUM
ejpam-5162	130	11	)	)	PUNCT
ejpam-5162	130	12	−	−	PROPN
ejpam-5162	130	13	1	1	NUM
ejpam-5162	130	14	αai	αai	NUM
ejpam-5162	130	15	δai	δai	NOUN
ejpam-5162	130	16	≤	≤	NUM
ejpam-5162	130	17	ξai	ξai	PROPN
ejpam-5162	130	18	−	−	PROPN
ejpam-5162	130	19	βai[1	βai[1	PUNCT
ejpam-5162	130	20	+	+	CCONJ
ejpam-5162	130	21	(	(	PUNCT
ejpam-5162	130	22	p	p	X
ejpam-5162	130	23	(	(	PUNCT
ejpam-5162	130	24	ai)−	ai)−	NOUN
ejpam-5162	130	25	1	1	NUM
ejpam-5162	130	26	)	)	PUNCT
ejpam-5162	130	27	−	−	PROPN
ejpam-5162	130	28	1	1	NUM
ejpam-5162	130	29	αai	αai	NOUN
ejpam-5162	130	30	]	]	PUNCT
ejpam-5162	130	31	n∑	n∑	PUNCT
ejpam-5162	131	1	j=1	j=1	PROPN
ejpam-5162	131	2	xij	xij	PROPN
ejpam-5162	131	3	≤	≤	PROPN
ejpam-5162	131	4	ξai	ξai	PROPN
ejpam-5162	131	5	−	−	PROPN
ejpam-5162	131	6	βai[1	βai[1	PUNCT
ejpam-5162	131	7	+	+	CCONJ
ejpam-5162	131	8	(	(	PUNCT
ejpam-5162	131	9	p	p	X
ejpam-5162	131	10	(	(	PUNCT
ejpam-5162	131	11	ai)−	ai)−	NOUN
ejpam-5162	131	12	1	1	NUM
ejpam-5162	131	13	)	)	PUNCT
ejpam-5162	131	14	−	−	PROPN
ejpam-5162	131	15	1	1	NUM
ejpam-5162	131	16	αai	αai	NOUN
ejpam-5162	131	17	]	]	PUNCT
ejpam-5162	131	18	remarks	remark	NOUN
ejpam-5162	131	19	.	.	PUNCT
ejpam-5162	132	1	p.	p.	NOUN
ejpam-5162	132	2	bhavana	bhavana	PROPN
ejpam-5162	132	3	,	,	PUNCT
ejpam-5162	132	4	d.	d.	PROPN
ejpam-5162	132	5	kalpana	kalpana	PROPN
ejpam-5162	132	6	/	/	SYM
ejpam-5162	132	7	eur	eur	PROPN
ejpam-5162	132	8	.	.	PUNCT
ejpam-5162	133	1	j.	j.	PROPN
ejpam-5162	133	2	pure	pure	PROPN
ejpam-5162	133	3	appl	appl	PROPN
ejpam-5162	133	4	.	.	PROPN
ejpam-5162	133	5	math	math	PROPN
ejpam-5162	133	6	,	,	PUNCT
ejpam-5162	133	7	17	17	NUM
ejpam-5162	133	8	(	(	PUNCT
ejpam-5162	133	9	2	2	NUM
ejpam-5162	133	10	)	)	PUNCT
ejpam-5162	133	11	(	(	PUNCT
ejpam-5162	133	12	2024	2024	NUM
ejpam-5162	133	13	)	)	PUNCT
ejpam-5162	133	14	,	,	PUNCT
ejpam-5162	133	15	1228	1228	NUM
ejpam-5162	133	16	-	-	SYM
ejpam-5162	133	17	1243	1243	NUM
ejpam-5162	133	18	1234	1234	NUM
ejpam-5162	133	19	(	(	PUNCT
ejpam-5162	133	20	i	i	NOUN
ejpam-5162	133	21	)	)	PUNCT
ejpam-5162	133	22	for	for	ADP
ejpam-5162	133	23	p	p	PROPN
ejpam-5162	133	24	(	(	PUNCT
ejpam-5162	133	25	n∑	n∑	NOUN
ejpam-5162	133	26	j=1	j=1	PROPN
ejpam-5162	133	27	xij	xij	PROPN
ejpam-5162	133	28	≤	≤	PROPN
ejpam-5162	133	29	ai	ai	VERB
ejpam-5162	133	30	)	)	PUNCT
ejpam-5162	133	31	≥	≥	NOUN
ejpam-5162	133	32	p	p	NOUN
ejpam-5162	133	33	(	(	PUNCT
ejpam-5162	133	34	ai	ai	NOUN
ejpam-5162	133	35	)	)	PUNCT
ejpam-5162	133	36	,	,	PUNCT
ejpam-5162	133	37	i	i	PRON
ejpam-5162	133	38	∈	∈	PROPN
ejpam-5162	133	39	i3	i3	NOUN
ejpam-5162	133	40	,	,	PUNCT
ejpam-5162	133	41	then	then	ADV
ejpam-5162	133	42	n∑	n∑	PROPN
ejpam-5162	133	43	j=1	j=1	PROPN
ejpam-5162	133	44	xij	xij	PROPN
ejpam-5162	133	45	≥	≥	AUX
ejpam-5162	133	46	ξbj	ξbj	NOUN
ejpam-5162	133	47	+	+	CCONJ
ejpam-5162	133	48	βbj	βbj	NOUN
ejpam-5162	134	1	[	[	X
ejpam-5162	134	2	(	(	PUNCT
ejpam-5162	134	3	p	p	X
ejpam-5162	134	4	(	(	PUNCT
ejpam-5162	134	5	bj	bj	NOUN
ejpam-5162	134	6	)	)	PUNCT
ejpam-5162	134	7	+	+	CCONJ
ejpam-5162	134	8	1	1	X
ejpam-5162	134	9	)	)	PUNCT
ejpam-5162	134	10	−	−	PROPN
ejpam-5162	134	11	1	1	NUM
ejpam-5162	134	12	αbj	αbj	NOUN
ejpam-5162	134	13	−	−	PROPN
ejpam-5162	134	14	1	1	NUM
ejpam-5162	134	15	]	]	PUNCT
ejpam-5162	134	16	(	(	PUNCT
ejpam-5162	134	17	ii	ii	NOUN
ejpam-5162	134	18	)	)	PUNCT
ejpam-5162	134	19	for	for	ADP
ejpam-5162	134	20	p	p	PROPN
ejpam-5162	134	21	(	(	PUNCT
ejpam-5162	134	22	n∑	n∑	NOUN
ejpam-5162	134	23	j=1	j=1	X
ejpam-5162	134	24	xij	xij	PROPN
ejpam-5162	134	25	=	=	SYM
ejpam-5162	134	26	ai	ai	PROPN
ejpam-5162	134	27	)	)	PUNCT
ejpam-5162	134	28	≥	≥	NOUN
ejpam-5162	134	29	p	p	NOUN
ejpam-5162	134	30	(	(	PUNCT
ejpam-5162	134	31	ai	ai	NOUN
ejpam-5162	134	32	)	)	PUNCT
ejpam-5162	134	33	,	,	PUNCT
ejpam-5162	134	34	i	i	PROPN
ejpam-5162	134	35	∈	∈	PROPN
ejpam-5162	134	36	i2	i2	PROPN
ejpam-5162	134	37	,	,	PUNCT
ejpam-5162	134	38	then	then	ADV
ejpam-5162	134	39	n∑	n∑	NOUN
ejpam-5162	134	40	j=1	j=1	NOUN
ejpam-5162	134	41	xij	xij	PROPN
ejpam-5162	134	42	=	=	PUNCT
ejpam-5162	134	43	ξai	ξai	PROPN
ejpam-5162	134	44	−	−	NOUN
ejpam-5162	134	45	βai[1	βai[1	PUNCT
ejpam-5162	134	46	+	+	CCONJ
ejpam-5162	134	47	(	(	PUNCT
ejpam-5162	134	48	p	p	X
ejpam-5162	134	49	(	(	PUNCT
ejpam-5162	134	50	ai)−	ai)−	NOUN
ejpam-5162	134	51	1	1	NUM
ejpam-5162	134	52	)	)	PUNCT
ejpam-5162	134	53	−	−	PROPN
ejpam-5162	134	54	1	1	NUM
ejpam-5162	134	55	αai	αai	NOUN
ejpam-5162	134	56	]	]	PUNCT
ejpam-5162	135	1	we	we	PRON
ejpam-5162	135	2	get	get	VERB
ejpam-5162	135	3	the	the	DET
ejpam-5162	135	4	same	same	ADJ
ejpam-5162	135	5	deterministic	deterministic	ADJ
ejpam-5162	135	6	result	result	NOUN
ejpam-5162	135	7	for	for	ADP
ejpam-5162	135	8	both	both	DET
ejpam-5162	135	9	inequality	inequality	NOUN
ejpam-5162	135	10	types	type	NOUN
ejpam-5162	135	11	for	for	ADP
ejpam-5162	135	12	supply	supply	NOUN
ejpam-5162	135	13	and	and	CCONJ
ejpam-5162	135	14	demand	demand	NOUN
ejpam-5162	135	15	constraints	constraint	NOUN
ejpam-5162	135	16	by	by	ADP
ejpam-5162	135	17	using	use	VERB
ejpam-5162	135	18	lomax	lomax	PROPN
ejpam-5162	135	19	distribution	distribution	NOUN
ejpam-5162	135	20	to	to	PART
ejpam-5162	135	21	select	select	VERB
ejpam-5162	135	22	the	the	DET
ejpam-5162	135	23	probability	probability	NOUN
ejpam-5162	135	24	value	value	NOUN
ejpam-5162	135	25	at	at	ADP
ejpam-5162	135	26	the	the	DET
ejpam-5162	135	27	50	50	NUM
ejpam-5162	135	28	%	%	NOUN
ejpam-5162	135	29	level	level	NOUN
ejpam-5162	135	30	in	in	ADP
ejpam-5162	135	31	the	the	DET
ejpam-5162	135	32	supply	supply	NOUN
ejpam-5162	135	33	and	and	CCONJ
ejpam-5162	135	34	demand	demand	NOUN
ejpam-5162	135	35	inequality	inequality	NOUN
ejpam-5162	135	36	constraint	constraint	NOUN
ejpam-5162	135	37	.	.	PUNCT
ejpam-5162	136	1	case	case	NOUN
ejpam-5162	136	2	2	2	NUM
ejpam-5162	136	3	.	.	PUNCT
ejpam-5162	136	4	only	only	ADV
ejpam-5162	136	5	bj	bj	NOUN
ejpam-5162	136	6	follows	follow	VERB
ejpam-5162	136	7	ld	ld	PROPN
ejpam-5162	136	8	for	for	ADP
ejpam-5162	136	9	p	p	PROPN
ejpam-5162	136	10	(	(	PUNCT
ejpam-5162	136	11	m∑	m∑	INTJ
ejpam-5162	136	12	i=1	i=1	PROPN
ejpam-5162	136	13	xij	xij	PROPN
ejpam-5162	136	14	≤	≤	X
ejpam-5162	136	15	bj	bj	NOUN
ejpam-5162	136	16	)	)	PUNCT
ejpam-5162	136	17	≥	≥	NOUN
ejpam-5162	136	18	p	p	NOUN
ejpam-5162	136	19	(	(	PUNCT
ejpam-5162	136	20	bj	bj	NOUN
ejpam-5162	136	21	)	)	PUNCT
ejpam-5162	136	22	,	,	PUNCT
ejpam-5162	136	23	j	j	PROPN
ejpam-5162	136	24	∈	∈	PROPN
ejpam-5162	136	25	j3	j3	PROPN
ejpam-5162	136	26	,	,	PUNCT
ejpam-5162	136	27	p	p	X
ejpam-5162	136	28	(	(	PUNCT
ejpam-5162	136	29	bj	bj	ADP
ejpam-5162	136	30	≥	≥	PRON
ejpam-5162	136	31	m∑	m∑	CCONJ
ejpam-5162	136	32	i=1	i=1	PROPN
ejpam-5162	136	33	xij	xij	PROPN
ejpam-5162	136	34	)	)	PUNCT
ejpam-5162	136	35	≥	≥	NOUN
ejpam-5162	136	36	p	p	NOUN
ejpam-5162	136	37	(	(	PUNCT
ejpam-5162	136	38	bj	bj	NOUN
ejpam-5162	136	39	)	)	PUNCT
ejpam-5162	136	40	,	,	PUNCT
ejpam-5162	136	41	j	j	PROPN
ejpam-5162	136	42	∈	∈	PROPN
ejpam-5162	136	43	j3	j3	PROPN
ejpam-5162	136	44	let	let	VERB
ejpam-5162	136	45	us	we	PRON
ejpam-5162	136	46	consider	consider	VERB
ejpam-5162	136	47	∑m	∑m	PROPN
ejpam-5162	136	48	i=1	i=1	PROPN
ejpam-5162	136	49	xij	xij	NOUN
ejpam-5162	136	50	=	=	PUNCT
ejpam-5162	136	51	δbj	δbj	NOUN
ejpam-5162	136	52	and	and	CCONJ
ejpam-5162	136	53	bj	bj	VERB
ejpam-5162	136	54	≥	≥	NOUN
ejpam-5162	136	55	ξbjthen	ξbjthen	NOUN
ejpam-5162	136	56	p	p	NOUN
ejpam-5162	136	57	(	(	PUNCT
ejpam-5162	136	58	bj	bj	ADP
ejpam-5162	136	59	≤	≤	NUM
ejpam-5162	136	60	δbj	δbj	NOUN
ejpam-5162	136	61	)	)	PUNCT
ejpam-5162	136	62	≥	≥	PROPN
ejpam-5162	136	63	p	p	NOUN
ejpam-5162	136	64	(	(	PUNCT
ejpam-5162	136	65	bj	bj	NOUN
ejpam-5162	136	66	)	)	PUNCT
ejpam-5162	136	67	,	,	PUNCT
ejpam-5162	136	68	j	j	PROPN
ejpam-5162	136	69	∈	∈	PROPN
ejpam-5162	136	70	j3	j3	PROPN
ejpam-5162	136	71	now	now	ADV
ejpam-5162	136	72	by	by	ADP
ejpam-5162	136	73	using	use	VERB
ejpam-5162	136	74	lomax	lomax	PROPN
ejpam-5162	136	75	distribution	distribution	NOUN
ejpam-5162	136	76	pdf	pdf	NOUN
ejpam-5162	136	77	,	,	PUNCT
ejpam-5162	136	78	integrating	integrate	VERB
ejpam-5162	136	79	from∫	from∫	NOUN
ejpam-5162	136	80	ξbj	ξbj	NOUN
ejpam-5162	136	81	δbj	δbj	VERB
ejpam-5162	136	82	αbj	αbj	NOUN
ejpam-5162	136	83	βbj	βbj	PUNCT
ejpam-5162	136	84	(	(	PUNCT
ejpam-5162	136	85	1	1	NUM
ejpam-5162	136	86	+	+	CCONJ
ejpam-5162	136	87	bj	bj	VERB
ejpam-5162	136	88	−	−	PROPN
ejpam-5162	136	89	ξbj	ξbj	NOUN
ejpam-5162	136	90	βbj	βbj	NOUN
ejpam-5162	136	91	)	)	PUNCT
ejpam-5162	137	1	−(αbj+1)dbj	−(αbj+1)dbj	PROPN
ejpam-5162	137	2	≥	≥	PRON
ejpam-5162	137	3	p	p	X
ejpam-5162	137	4	(	(	PUNCT
ejpam-5162	137	5	bj	bj	NOUN
ejpam-5162	137	6	)	)	PUNCT
ejpam-5162	138	1	[	[	X
ejpam-5162	138	2	−(1	−(1	NOUN
ejpam-5162	138	3	+	+	CCONJ
ejpam-5162	138	4	bj	bj	VERB
ejpam-5162	138	5	−	−	PROPN
ejpam-5162	138	6	ξbj	ξbj	NOUN
ejpam-5162	138	7	βbj	βbj	PUNCT
ejpam-5162	138	8	)	)	PUNCT
ejpam-5162	138	9	−αbj	−αbj	NOUN
ejpam-5162	138	10	]	]	PUNCT
ejpam-5162	139	1	ξbj	ξbj	NOUN
ejpam-5162	139	2	δbj	δbj	VERB
ejpam-5162	139	3	≥	≥	PRON
ejpam-5162	139	4	p	p	X
ejpam-5162	139	5	(	(	PUNCT
ejpam-5162	139	6	bj	bj	NOUN
ejpam-5162	139	7	)	)	PUNCT
ejpam-5162	140	1	[	[	X
ejpam-5162	140	2	1	1	NUM
ejpam-5162	140	3	+	+	NUM
ejpam-5162	140	4	δbj	δbj	NOUN
ejpam-5162	140	5	−	−	PROPN
ejpam-5162	140	6	ξbj	ξbj	NOUN
ejpam-5162	140	7	βbj	βbj	NOUN
ejpam-5162	140	8	]	]	X
ejpam-5162	140	9	−αbj	−αbj	NOUN
ejpam-5162	140	10	≥	≥	NUM
ejpam-5162	141	1	p	p	X
ejpam-5162	141	2	(	(	PUNCT
ejpam-5162	141	3	bj	bj	NOUN
ejpam-5162	141	4	)	)	PUNCT
ejpam-5162	141	5	+	+	CCONJ
ejpam-5162	141	6	1	1	NUM
ejpam-5162	141	7	δbj	δbj	NOUN
ejpam-5162	141	8	≥	≥	NOUN
ejpam-5162	141	9	ξbj	ξbj	NOUN
ejpam-5162	141	10	+	+	CCONJ
ejpam-5162	141	11	βbj	βbj	NOUN
ejpam-5162	142	1	[	[	X
ejpam-5162	142	2	(	(	PUNCT
ejpam-5162	142	3	p	p	X
ejpam-5162	142	4	(	(	PUNCT
ejpam-5162	142	5	bj	bj	NOUN
ejpam-5162	142	6	)	)	PUNCT
ejpam-5162	142	7	+	+	CCONJ
ejpam-5162	142	8	1	1	X
ejpam-5162	142	9	)	)	PUNCT
ejpam-5162	142	10	−	−	PROPN
ejpam-5162	142	11	1	1	NUM
ejpam-5162	142	12	αbj	αbj	NOUN
ejpam-5162	142	13	−	−	PROPN
ejpam-5162	142	14	1	1	NUM
ejpam-5162	142	15	]	]	PUNCT
ejpam-5162	142	16	m∑	m∑	CCONJ
ejpam-5162	142	17	i=1	i=1	PROPN
ejpam-5162	142	18	xij	xij	PROPN
ejpam-5162	142	19	≥	≥	NUM
ejpam-5162	142	20	ξbj	ξbj	NOUN
ejpam-5162	142	21	+	+	CCONJ
ejpam-5162	142	22	βbj	βbj	NOUN
ejpam-5162	143	1	[	[	X
ejpam-5162	143	2	(	(	PUNCT
ejpam-5162	143	3	p	p	X
ejpam-5162	143	4	(	(	PUNCT
ejpam-5162	143	5	bj	bj	NOUN
ejpam-5162	143	6	)	)	PUNCT
ejpam-5162	143	7	+	+	CCONJ
ejpam-5162	143	8	1	1	X
ejpam-5162	143	9	)	)	PUNCT
ejpam-5162	143	10	−	−	PROPN
ejpam-5162	143	11	1	1	NUM
ejpam-5162	143	12	αbj	αbj	NOUN
ejpam-5162	143	13	−	−	PROPN
ejpam-5162	143	14	1	1	NUM
ejpam-5162	143	15	]	]	PUNCT
ejpam-5162	143	16	p.	p.	NOUN
ejpam-5162	143	17	bhavana	bhavana	PROPN
ejpam-5162	143	18	,	,	PUNCT
ejpam-5162	143	19	d.	d.	PROPN
ejpam-5162	143	20	kalpana	kalpana	PROPN
ejpam-5162	143	21	/	/	SYM
ejpam-5162	143	22	eur	eur	PROPN
ejpam-5162	143	23	.	.	PUNCT
ejpam-5162	144	1	j.	j.	PROPN
ejpam-5162	144	2	pure	pure	PROPN
ejpam-5162	144	3	appl	appl	PROPN
ejpam-5162	144	4	.	.	PROPN
ejpam-5162	144	5	math	math	PROPN
ejpam-5162	144	6	,	,	PUNCT
ejpam-5162	144	7	17	17	NUM
ejpam-5162	144	8	(	(	PUNCT
ejpam-5162	144	9	2	2	NUM
ejpam-5162	144	10	)	)	PUNCT
ejpam-5162	144	11	(	(	PUNCT
ejpam-5162	144	12	2024	2024	NUM
ejpam-5162	144	13	)	)	PUNCT
ejpam-5162	144	14	,	,	PUNCT
ejpam-5162	144	15	1228	1228	NUM
ejpam-5162	144	16	-	-	SYM
ejpam-5162	144	17	1243	1243	NUM
ejpam-5162	144	18	1235	1235	NUM
ejpam-5162	144	19	remarks	remark	NOUN
ejpam-5162	144	20	.	.	PUNCT
ejpam-5162	145	1	(	(	PUNCT
ejpam-5162	145	2	i	i	NOUN
ejpam-5162	145	3	)	)	PUNCT
ejpam-5162	145	4	for	for	ADP
ejpam-5162	145	5	p	p	PROPN
ejpam-5162	145	6	(	(	PUNCT
ejpam-5162	145	7	m∑	m∑	INTJ
ejpam-5162	145	8	i=1	i=1	PROPN
ejpam-5162	145	9	xij	xij	PROPN
ejpam-5162	145	10	≤	≤	X
ejpam-5162	145	11	bj	bj	NOUN
ejpam-5162	145	12	)	)	PUNCT
ejpam-5162	145	13	≥	≥	NOUN
ejpam-5162	145	14	p	p	NOUN
ejpam-5162	145	15	(	(	PUNCT
ejpam-5162	145	16	bj	bj	NOUN
ejpam-5162	145	17	)	)	PUNCT
ejpam-5162	145	18	,	,	PUNCT
ejpam-5162	145	19	j	j	PROPN
ejpam-5162	145	20	∈	∈	PROPN
ejpam-5162	145	21	j1	j1	PROPN
ejpam-5162	145	22	,	,	PUNCT
ejpam-5162	145	23	then	then	ADV
ejpam-5162	145	24	m∑	m∑	ADP
ejpam-5162	145	25	i=1	i=1	PROPN
ejpam-5162	145	26	xij	xij	PROPN
ejpam-5162	145	27	≥	≥	PROPN
ejpam-5162	145	28	ξai	ξai	PROPN
ejpam-5162	145	29	−	−	PROPN
ejpam-5162	145	30	βai[1	βai[1	PUNCT
ejpam-5162	145	31	+	+	CCONJ
ejpam-5162	145	32	(	(	PUNCT
ejpam-5162	145	33	p	p	X
ejpam-5162	145	34	(	(	PUNCT
ejpam-5162	145	35	ai)−	ai)−	NOUN
ejpam-5162	145	36	1	1	NUM
ejpam-5162	145	37	)	)	PUNCT
ejpam-5162	145	38	−	−	PROPN
ejpam-5162	145	39	1	1	NUM
ejpam-5162	145	40	αai	αai	NOUN
ejpam-5162	145	41	]	]	PUNCT
ejpam-5162	145	42	(	(	PUNCT
ejpam-5162	145	43	ii	ii	NOUN
ejpam-5162	145	44	)	)	PUNCT
ejpam-5162	145	45	for	for	ADP
ejpam-5162	145	46	p	p	PROPN
ejpam-5162	145	47	(	(	PUNCT
ejpam-5162	145	48	m∑	m∑	INTJ
ejpam-5162	145	49	i=1	i=1	PROPN
ejpam-5162	145	50	xij	xij	PROPN
ejpam-5162	146	1	=	=	PUNCT
ejpam-5162	146	2	bj	bj	PROPN
ejpam-5162	146	3	)	)	PUNCT
ejpam-5162	146	4	≥	≥	NOUN
ejpam-5162	146	5	p	p	NOUN
ejpam-5162	146	6	(	(	PUNCT
ejpam-5162	146	7	bj	bj	NOUN
ejpam-5162	146	8	)	)	PUNCT
ejpam-5162	146	9	,	,	PUNCT
ejpam-5162	146	10	j	j	PROPN
ejpam-5162	146	11	∈	∈	PROPN
ejpam-5162	146	12	j2	j2	PROPN
ejpam-5162	146	13	,	,	PUNCT
ejpam-5162	146	14	then	then	ADV
ejpam-5162	146	15	m∑	m∑	ADP
ejpam-5162	146	16	i=1	i=1	PROPN
ejpam-5162	146	17	xij	xij	PROPN
ejpam-5162	146	18	≥	≥	NUM
ejpam-5162	146	19	ξbj	ξbj	NOUN
ejpam-5162	146	20	+	+	CCONJ
ejpam-5162	146	21	βbj	βbj	NOUN
ejpam-5162	147	1	[	[	X
ejpam-5162	147	2	(	(	PUNCT
ejpam-5162	147	3	p	p	X
ejpam-5162	147	4	(	(	PUNCT
ejpam-5162	147	5	bj	bj	NOUN
ejpam-5162	147	6	)	)	PUNCT
ejpam-5162	147	7	+	+	CCONJ
ejpam-5162	147	8	1	1	X
ejpam-5162	147	9	)	)	PUNCT
ejpam-5162	147	10	−	−	PROPN
ejpam-5162	147	11	1	1	NUM
ejpam-5162	147	12	αbj	αbj	NOUN
ejpam-5162	147	13	−	−	PROPN
ejpam-5162	147	14	1	1	NUM
ejpam-5162	147	15	]	]	PUNCT
ejpam-5162	147	16	case	case	NOUN
ejpam-5162	147	17	3	3	X
ejpam-5162	147	18	.	.	PUNCT
ejpam-5162	148	1	both	both	PRON
ejpam-5162	148	2	ai	ai	VERB
ejpam-5162	148	3	and	and	CCONJ
ejpam-5162	148	4	bj	bj	NOUN
ejpam-5162	148	5	follows	follow	VERB
ejpam-5162	148	6	ld	ld	NOUN
ejpam-5162	148	7	by	by	ADP
ejpam-5162	148	8	using	use	VERB
ejpam-5162	148	9	the	the	DET
ejpam-5162	148	10	above	above	ADJ
ejpam-5162	148	11	cases	case	NOUN
ejpam-5162	148	12	(	(	PUNCT
ejpam-5162	148	13	i	i	NOUN
ejpam-5162	148	14	)	)	PUNCT
ejpam-5162	148	15	and	and	CCONJ
ejpam-5162	148	16	(	(	PUNCT
ejpam-5162	148	17	ii	ii	NOUN
ejpam-5162	148	18	)	)	PUNCT
ejpam-5162	148	19	we	we	PRON
ejpam-5162	148	20	follows	follow	VERB
ejpam-5162	148	21	.	.	PUNCT
ejpam-5162	149	1	3.2	3.2	NUM
ejpam-5162	149	2	.	.	PUNCT
ejpam-5162	149	3	formulation	formulation	NOUN
ejpam-5162	149	4	of	of	ADP
ejpam-5162	149	5	the	the	DET
ejpam-5162	149	6	modulations	modulation	NOUN
ejpam-5162	149	7	of	of	ADP
ejpam-5162	149	8	the	the	DET
ejpam-5162	149	9	stochastic	stochastic	ADJ
ejpam-5162	149	10	transportation	transportation	NOUN
ejpam-5162	149	11	problem	problem	NOUN
ejpam-5162	149	12	with	with	ADP
ejpam-5162	149	13	the	the	DET
ejpam-5162	149	14	imprecise	imprecise	ADJ
ejpam-5162	149	15	data	datum	NOUN
ejpam-5162	149	16	by	by	ADP
ejpam-5162	149	17	using	use	VERB
ejpam-5162	149	18	lomax	lomax	PROPN
ejpam-5162	149	19	distribution	distribution	NOUN
ejpam-5162	149	20	the	the	DET
ejpam-5162	149	21	nature	nature	NOUN
ejpam-5162	149	22	of	of	ADP
ejpam-5162	149	23	the	the	DET
ejpam-5162	149	24	parameters	parameter	NOUN
ejpam-5162	149	25	(	(	PUNCT
ejpam-5162	149	26	cost	cost	NOUN
ejpam-5162	149	27	,	,	PUNCT
ejpam-5162	149	28	supply	supply	NOUN
ejpam-5162	149	29	,	,	PUNCT
ejpam-5162	149	30	and	and	CCONJ
ejpam-5162	149	31	demand	demand	NOUN
ejpam-5162	149	32	)	)	PUNCT
ejpam-5162	149	33	changes	change	NOUN
ejpam-5162	149	34	in	in	ADP
ejpam-5162	149	35	many	many	ADJ
ejpam-5162	149	36	real	real	ADJ
ejpam-5162	149	37	-	-	PUNCT
ejpam-5162	149	38	life	life	NOUN
ejpam-5162	149	39	scenarios	scenario	NOUN
ejpam-5162	149	40	,	,	PUNCT
ejpam-5162	149	41	making	make	VERB
ejpam-5162	149	42	it	it	PRON
ejpam-5162	149	43	difficult	difficult	ADJ
ejpam-5162	149	44	for	for	ADP
ejpam-5162	149	45	decision	decision	NOUN
ejpam-5162	149	46	to	to	PART
ejpam-5162	149	47	make	make	VERB
ejpam-5162	149	48	the	the	DET
ejpam-5162	149	49	best	good	ADJ
ejpam-5162	149	50	choice	choice	NOUN
ejpam-5162	149	51	.	.	PUNCT
ejpam-5162	150	1	it	it	PRON
ejpam-5162	150	2	is	be	AUX
ejpam-5162	150	3	possible	possible	ADJ
ejpam-5162	150	4	to	to	PART
ejpam-5162	150	5	manage	manage	VERB
ejpam-5162	150	6	this	this	DET
ejpam-5162	150	7	scenario	scenario	NOUN
ejpam-5162	150	8	with	with	ADP
ejpam-5162	150	9	fuzzy	fuzzy	ADJ
ejpam-5162	150	10	and	and	CCONJ
ejpam-5162	150	11	random	random	ADJ
ejpam-5162	150	12	variables	variable	NOUN
ejpam-5162	150	13	.	.	PUNCT
ejpam-5162	151	1	we	we	PRON
ejpam-5162	151	2	treat	treat	VERB
ejpam-5162	151	3	restrictions	restriction	NOUN
ejpam-5162	151	4	as	as	ADP
ejpam-5162	151	5	random	random	ADJ
ejpam-5162	151	6	variables	variable	NOUN
ejpam-5162	151	7	and	and	CCONJ
ejpam-5162	151	8	cost	cost	NOUN
ejpam-5162	151	9	as	as	ADP
ejpam-5162	151	10	triangular	triangular	NOUN
ejpam-5162	151	11	fuzzy	fuzzy	ADJ
ejpam-5162	151	12	variables	variable	NOUN
ejpam-5162	151	13	in	in	ADP
ejpam-5162	151	14	our	our	PRON
ejpam-5162	151	15	model	model	NOUN
ejpam-5162	151	16	.	.	PUNCT
ejpam-5162	152	1	depending	depend	VERB
ejpam-5162	152	2	on	on	ADP
ejpam-5162	152	3	the	the	DET
ejpam-5162	152	4	circumstances	circumstance	NOUN
ejpam-5162	152	5	around	around	ADP
ejpam-5162	152	6	decision	decision	NOUN
ejpam-5162	152	7	,	,	PUNCT
ejpam-5162	152	8	there	there	PRON
ejpam-5162	152	9	may	may	AUX
ejpam-5162	152	10	or	or	CCONJ
ejpam-5162	152	11	may	may	AUX
ejpam-5162	152	12	not	not	PART
ejpam-5162	152	13	be	be	AUX
ejpam-5162	152	14	uncertainty	uncertainty	NOUN
ejpam-5162	152	15	regarding	regard	VERB
ejpam-5162	152	16	supply	supply	NOUN
ejpam-5162	152	17	or	or	CCONJ
ejpam-5162	152	18	demand	demand	NOUN
ejpam-5162	152	19	limits	limit	NOUN
ejpam-5162	152	20	.	.	PUNCT
ejpam-5162	153	1	as	as	ADP
ejpam-5162	153	2	a	a	DET
ejpam-5162	153	3	result	result	NOUN
ejpam-5162	153	4	,	,	PUNCT
ejpam-5162	153	5	we	we	PRON
ejpam-5162	153	6	develop	develop	VERB
ejpam-5162	153	7	three	three	NUM
ejpam-5162	153	8	stp	stp	ADJ
ejpam-5162	153	9	models	model	NOUN
ejpam-5162	153	10	depending	depend	VERB
ejpam-5162	153	11	on	on	ADP
ejpam-5162	153	12	the	the	DET
ejpam-5162	153	13	degree	degree	NOUN
ejpam-5162	153	14	of	of	ADP
ejpam-5162	153	15	uncertainty	uncertainty	NOUN
ejpam-5162	153	16	in	in	ADP
ejpam-5162	153	17	the	the	DET
ejpam-5162	153	18	requirements	requirement	NOUN
ejpam-5162	153	19	.	.	PUNCT
ejpam-5162	154	1	here	here	ADV
ejpam-5162	154	2	the	the	DET
ejpam-5162	154	3	objective	objective	ADJ
ejpam-5162	154	4	function	function	NOUN
ejpam-5162	154	5	can	can	AUX
ejpam-5162	154	6	be	be	AUX
ejpam-5162	154	7	used	use	VERB
ejpam-5162	154	8	the	the	DET
ejpam-5162	154	9	alpha	alpha	NOUN
ejpam-5162	154	10	cut	cut	NOUN
ejpam-5162	154	11	to	to	PART
ejpam-5162	154	12	transform	transform	VERB
ejpam-5162	154	13	the	the	DET
ejpam-5162	154	14	provided	provide	VERB
ejpam-5162	154	15	triangular	triangular	NOUN
ejpam-5162	154	16	fuzzy	fuzzy	ADJ
ejpam-5162	154	17	cost	cost	NOUN
ejpam-5162	154	18	of	of	ADP
ejpam-5162	154	19	problem	problem	NOUN
ejpam-5162	154	20	into	into	ADP
ejpam-5162	154	21	an	an	DET
ejpam-5162	154	22	equal	equal	ADJ
ejpam-5162	154	23	deterministic	deterministic	ADJ
ejpam-5162	154	24	cost	cost	NOUN
ejpam-5162	154	25	.	.	PUNCT
ejpam-5162	155	1	minimizez	minimizez	NOUN
ejpam-5162	155	2	=	=	SYM
ejpam-5162	155	3	m∑	m∑	ADP
ejpam-5162	155	4	i=1	i=1	PROPN
ejpam-5162	155	5	n∑	n∑	PROPN
ejpam-5162	156	1	j=1	j=1	ADJ
ejpam-5162	156	2	cij((1−	cij((1−	NOUN
ejpam-5162	156	3	α̂)x̄ij	α̂)x̄ij	NOUN
ejpam-5162	156	4	+	+	CCONJ
ejpam-5162	156	5	α̂xij	α̂xij	NUM
ejpam-5162	156	6	)	)	PUNCT
ejpam-5162	156	7	(	(	PUNCT
ejpam-5162	156	8	1	1	X
ejpam-5162	156	9	)	)	PUNCT
ejpam-5162	156	10	the	the	DET
ejpam-5162	156	11	following	follow	VERB
ejpam-5162	156	12	models	model	NOUN
ejpam-5162	156	13	are	be	AUX
ejpam-5162	156	14	to	to	PART
ejpam-5162	156	15	be	be	AUX
ejpam-5162	156	16	considered	consider	VERB
ejpam-5162	156	17	:	:	PUNCT
ejpam-5162	156	18	(	(	PUNCT
ejpam-5162	156	19	i	i	NOUN
ejpam-5162	156	20	)	)	PUNCT
ejpam-5162	156	21	only	only	ADV
ejpam-5162	156	22	ai	ai	VERB
ejpam-5162	156	23	,	,	PUNCT
ejpam-5162	156	24	i	i	PRON
ejpam-5162	156	25	=	=	NOUN
ejpam-5162	156	26	1	1	NUM
ejpam-5162	156	27	,	,	PUNCT
ejpam-5162	156	28	2	2	NUM
ejpam-5162	156	29	,	,	PUNCT
ejpam-5162	156	30	.	.	PUNCT
ejpam-5162	156	31	.	.	PUNCT
ejpam-5162	157	1	.	.	PUNCT
ejpam-5162	158	1	,	,	PUNCT
ejpam-5162	158	2	m	m	VERB
ejpam-5162	158	3	follows	follow	VERB
ejpam-5162	158	4	uncertainty	uncertainty	NOUN
ejpam-5162	158	5	.	.	PUNCT
ejpam-5162	159	1	(	(	PUNCT
ejpam-5162	159	2	ii	ii	NOUN
ejpam-5162	159	3	)	)	PUNCT
ejpam-5162	159	4	only	only	ADV
ejpam-5162	159	5	bj	bj	VERB
ejpam-5162	159	6	,	,	PUNCT
ejpam-5162	159	7	j	j	PROPN
ejpam-5162	159	8	=	=	SYM
ejpam-5162	159	9	1	1	NUM
ejpam-5162	159	10	,	,	PUNCT
ejpam-5162	159	11	2	2	NUM
ejpam-5162	159	12	,	,	PUNCT
ejpam-5162	159	13	.	.	PUNCT
ejpam-5162	159	14	.	.	PUNCT
ejpam-5162	160	1	.	.	PUNCT
ejpam-5162	161	1	,	,	PUNCT
ejpam-5162	161	2	n	n	PRON
ejpam-5162	161	3	follows	follow	VERB
ejpam-5162	161	4	uncertainty	uncertainty	NOUN
ejpam-5162	161	5	.	.	PUNCT
ejpam-5162	162	1	(	(	PUNCT
ejpam-5162	162	2	iii	iii	X
ejpam-5162	162	3	)	)	PUNCT
ejpam-5162	162	4	both	both	PRON
ejpam-5162	162	5	ai	ai	VERB
ejpam-5162	162	6	,	,	PUNCT
ejpam-5162	162	7	i	i	PRON
ejpam-5162	162	8	=	=	NOUN
ejpam-5162	162	9	1	1	NUM
ejpam-5162	162	10	,	,	PUNCT
ejpam-5162	162	11	2	2	NUM
ejpam-5162	162	12	,	,	PUNCT
ejpam-5162	162	13	.	.	PUNCT
ejpam-5162	162	14	.	.	PUNCT
ejpam-5162	163	1	.	.	PUNCT
ejpam-5162	164	1	,	,	PUNCT
ejpam-5162	164	2	m	m	VERB
ejpam-5162	164	3	and	and	CCONJ
ejpam-5162	164	4	bj	bj	VERB
ejpam-5162	164	5	,	,	PUNCT
ejpam-5162	164	6	j	j	PROPN
ejpam-5162	164	7	=	=	SYM
ejpam-5162	164	8	1	1	NUM
ejpam-5162	164	9	,	,	PUNCT
ejpam-5162	164	10	2	2	NUM
ejpam-5162	164	11	,	,	PUNCT
ejpam-5162	164	12	.	.	PUNCT
ejpam-5162	164	13	.	.	PUNCT
ejpam-5162	165	1	.	.	PUNCT
ejpam-5162	166	1	,	,	PUNCT
ejpam-5162	166	2	n	n	PRON
ejpam-5162	166	3	follow	follow	VERB
ejpam-5162	166	4	uncertainty	uncertainty	NOUN
ejpam-5162	166	5	.	.	PUNCT
ejpam-5162	167	1	model	model	NOUN
ejpam-5162	167	2	1	1	NUM
ejpam-5162	167	3	.	.	PUNCT
ejpam-5162	168	1	only	only	ADV
ejpam-5162	168	2	ai	ai	VERB
ejpam-5162	168	3	follows	follow	VERB
ejpam-5162	168	4	uncertainty	uncertainty	NOUN
ejpam-5162	168	5	for	for	ADP
ejpam-5162	168	6	modulation	modulation	NOUN
ejpam-5162	168	7	of	of	ADP
ejpam-5162	168	8	the	the	DET
ejpam-5162	168	9	stp	stp	PROPN
ejpam-5162	168	10	with	with	SCONJ
ejpam-5162	168	11	the	the	DET
ejpam-5162	168	12	imprecise	imprecise	ADJ
ejpam-5162	168	13	data	datum	NOUN
ejpam-5162	168	14	by	by	ADP
ejpam-5162	168	15	using	use	VERB
ejpam-5162	168	16	ld	ld	PROPN
ejpam-5162	168	17	is	be	AUX
ejpam-5162	168	18	used	use	VERB
ejpam-5162	168	19	for	for	ADP
ejpam-5162	168	20	probabilistic	probabilistic	ADJ
ejpam-5162	168	21	only	only	ADV
ejpam-5162	168	22	for	for	ADP
ejpam-5162	168	23	supply	supply	NOUN
ejpam-5162	168	24	constraints	constraint	NOUN
ejpam-5162	168	25	and	and	CCONJ
ejpam-5162	168	26	demand	demand	NOUN
ejpam-5162	168	27	constraints	constraint	NOUN
ejpam-5162	168	28	are	be	AUX
ejpam-5162	168	29	certain	certain	ADJ
ejpam-5162	168	30	.	.	PUNCT
ejpam-5162	169	1	p.	p.	NOUN
ejpam-5162	169	2	bhavana	bhavana	PROPN
ejpam-5162	169	3	,	,	PUNCT
ejpam-5162	169	4	d.	d.	PROPN
ejpam-5162	169	5	kalpana	kalpana	PROPN
ejpam-5162	169	6	/	/	SYM
ejpam-5162	169	7	eur	eur	PROPN
ejpam-5162	169	8	.	.	PUNCT
ejpam-5162	170	1	j.	j.	PROPN
ejpam-5162	170	2	pure	pure	PROPN
ejpam-5162	170	3	appl	appl	PROPN
ejpam-5162	170	4	.	.	PROPN
ejpam-5162	170	5	math	math	PROPN
ejpam-5162	170	6	,	,	PUNCT
ejpam-5162	170	7	17	17	NUM
ejpam-5162	170	8	(	(	PUNCT
ejpam-5162	170	9	2	2	NUM
ejpam-5162	170	10	)	)	PUNCT
ejpam-5162	170	11	(	(	PUNCT
ejpam-5162	170	12	2024	2024	NUM
ejpam-5162	170	13	)	)	PUNCT
ejpam-5162	170	14	,	,	PUNCT
ejpam-5162	170	15	1228	1228	NUM
ejpam-5162	170	16	-	-	SYM
ejpam-5162	170	17	1243	1243	NUM
ejpam-5162	170	18	1236	1236	NUM
ejpam-5162	170	19	the	the	DET
ejpam-5162	170	20	mathematics	mathematic	NOUN
ejpam-5162	170	21	formulation	formulation	NOUN
ejpam-5162	170	22	can	can	AUX
ejpam-5162	170	23	be	be	AUX
ejpam-5162	170	24	represented	represent	VERB
ejpam-5162	170	25	as	as	SCONJ
ejpam-5162	170	26	follows	follow	VERB
ejpam-5162	170	27	as	as	ADP
ejpam-5162	170	28	minimizez	minimizez	NOUN
ejpam-5162	170	29	=	=	SYM
ejpam-5162	171	1	m∑	m∑	ADP
ejpam-5162	171	2	i=1	i=1	PROPN
ejpam-5162	171	3	n∑	n∑	PROPN
ejpam-5162	171	4	j=1	j=1	ADJ
ejpam-5162	172	1	cij((1−	cij((1−	NOUN
ejpam-5162	172	2	α̂)x̄ij	α̂)x̄ij	NOUN
ejpam-5162	172	3	+	+	CCONJ
ejpam-5162	172	4	α̂xij	α̂xij	NUM
ejpam-5162	172	5	)	)	PUNCT
ejpam-5162	172	6	subject	subject	NOUN
ejpam-5162	172	7	to	to	ADP
ejpam-5162	172	8	constriants	constriant	NOUN
ejpam-5162	172	9	,	,	PUNCT
ejpam-5162	172	10	n∑	n∑	NOUN
ejpam-5162	172	11	j=1	j=1	PROPN
ejpam-5162	172	12	xij	xij	PROPN
ejpam-5162	172	13	≤	≤	PROPN
ejpam-5162	172	14	ξai	ξai	PROPN
ejpam-5162	172	15	−	−	PROPN
ejpam-5162	172	16	βai[1	βai[1	PUNCT
ejpam-5162	172	17	+	+	CCONJ
ejpam-5162	172	18	(	(	PUNCT
ejpam-5162	172	19	p	p	X
ejpam-5162	172	20	(	(	PUNCT
ejpam-5162	172	21	ai)−	ai)−	NOUN
ejpam-5162	172	22	1	1	NUM
ejpam-5162	172	23	)	)	PUNCT
ejpam-5162	172	24	−	−	PROPN
ejpam-5162	172	25	1	1	NUM
ejpam-5162	172	26	αai	αai	NOUN
ejpam-5162	172	27	]	]	PUNCT
ejpam-5162	172	28	,	,	PUNCT
ejpam-5162	172	29	i	i	PROPN
ejpam-5162	172	30	∈	∈	PROPN
ejpam-5162	172	31	i1	i1	PROPN
ejpam-5162	172	32	(	(	PUNCT
ejpam-5162	172	33	2	2	NUM
ejpam-5162	172	34	)	)	PUNCT
ejpam-5162	172	35	n∑	n∑	NOUN
ejpam-5162	173	1	j=1	j=1	NOUN
ejpam-5162	173	2	xij	xij	PROPN
ejpam-5162	173	3	=	=	PUNCT
ejpam-5162	173	4	ξai	ξai	PROPN
ejpam-5162	173	5	−	−	NOUN
ejpam-5162	173	6	βai[1	βai[1	PUNCT
ejpam-5162	173	7	+	+	CCONJ
ejpam-5162	173	8	(	(	PUNCT
ejpam-5162	173	9	p	p	X
ejpam-5162	173	10	(	(	PUNCT
ejpam-5162	173	11	ai)−	ai)−	NOUN
ejpam-5162	173	12	1	1	NUM
ejpam-5162	173	13	)	)	PUNCT
ejpam-5162	173	14	−	−	PROPN
ejpam-5162	173	15	1	1	NUM
ejpam-5162	173	16	αai	αai	NOUN
ejpam-5162	173	17	]	]	PUNCT
ejpam-5162	173	18	,	,	PUNCT
ejpam-5162	173	19	i	i	PROPN
ejpam-5162	173	20	∈	∈	PROPN
ejpam-5162	173	21	i2	i2	PROPN
ejpam-5162	173	22	(	(	PUNCT
ejpam-5162	173	23	3	3	NUM
ejpam-5162	173	24	)	)	PUNCT
ejpam-5162	173	25	n∑	n∑	NOUN
ejpam-5162	174	1	j=1	j=1	PROPN
ejpam-5162	174	2	xij	xij	PROPN
ejpam-5162	174	3	≥	≥	AUX
ejpam-5162	174	4	ξbj	ξbj	NOUN
ejpam-5162	174	5	+	+	CCONJ
ejpam-5162	174	6	βbj	βbj	NOUN
ejpam-5162	175	1	[	[	X
ejpam-5162	175	2	(	(	PUNCT
ejpam-5162	175	3	p	p	X
ejpam-5162	175	4	(	(	PUNCT
ejpam-5162	175	5	bj	bj	NOUN
ejpam-5162	175	6	)	)	PUNCT
ejpam-5162	175	7	+	+	CCONJ
ejpam-5162	175	8	1	1	X
ejpam-5162	175	9	)	)	PUNCT
ejpam-5162	175	10	−	−	PROPN
ejpam-5162	175	11	1	1	NUM
ejpam-5162	175	12	αbj	αbj	NOUN
ejpam-5162	175	13	−	−	PROPN
ejpam-5162	175	14	1	1	NUM
ejpam-5162	175	15	]	]	PUNCT
ejpam-5162	175	16	,	,	PUNCT
ejpam-5162	175	17	i	i	PRON
ejpam-5162	175	18	∈	∈	PROPN
ejpam-5162	175	19	i3	i3	NOUN
ejpam-5162	175	20	(	(	PUNCT
ejpam-5162	175	21	4	4	NUM
ejpam-5162	175	22	)	)	PUNCT
ejpam-5162	175	23	m∑	m∑	CCONJ
ejpam-5162	175	24	i=1	i=1	PROPN
ejpam-5162	175	25	xij	xij	PROPN
ejpam-5162	175	26	≥	≥	AUX
ejpam-5162	175	27	bj	bj	VERB
ejpam-5162	175	28	,	,	PUNCT
ejpam-5162	175	29	j	j	PROPN
ejpam-5162	175	30	∈	∈	PROPN
ejpam-5162	175	31	j1	j1	PROPN
ejpam-5162	175	32	(	(	PUNCT
ejpam-5162	175	33	5	5	NUM
ejpam-5162	175	34	)	)	PUNCT
ejpam-5162	175	35	m∑	m∑	CCONJ
ejpam-5162	175	36	i=1	i=1	PROPN
ejpam-5162	175	37	xij	xij	PROPN
ejpam-5162	176	1	=	=	NOUN
ejpam-5162	176	2	bj	bj	NOUN
ejpam-5162	176	3	,	,	PUNCT
ejpam-5162	176	4	j	j	PROPN
ejpam-5162	176	5	∈	∈	PROPN
ejpam-5162	176	6	j2	j2	PROPN
ejpam-5162	176	7	(	(	PUNCT
ejpam-5162	176	8	6	6	NUM
ejpam-5162	176	9	)	)	PUNCT
ejpam-5162	176	10	m∑	m∑	CCONJ
ejpam-5162	176	11	i=1	i=1	PROPN
ejpam-5162	176	12	xij	xij	PROPN
ejpam-5162	176	13	≤	≤	NOUN
ejpam-5162	176	14	bj	bj	VERB
ejpam-5162	176	15	,	,	PUNCT
ejpam-5162	176	16	j	j	PROPN
ejpam-5162	176	17	∈	∈	PROPN
ejpam-5162	176	18	j3	j3	PROPN
ejpam-5162	176	19	(	(	PUNCT
ejpam-5162	176	20	7	7	NUM
ejpam-5162	176	21	)	)	PUNCT
ejpam-5162	176	22	and	and	CCONJ
ejpam-5162	176	23	xij	xij	PRON
ejpam-5162	176	24	≥	≥	NOUN
ejpam-5162	176	25	0	0	NUM
ejpam-5162	176	26	model	model	NOUN
ejpam-5162	176	27	2	2	NUM
ejpam-5162	176	28	.	.	PUNCT
ejpam-5162	176	29	only	only	ADV
ejpam-5162	176	30	bj	bj	VERB
ejpam-5162	176	31	follows	follow	VERB
ejpam-5162	176	32	uncertainty	uncertainty	NOUN
ejpam-5162	176	33	for	for	ADP
ejpam-5162	176	34	modulation	modulation	NOUN
ejpam-5162	176	35	of	of	ADP
ejpam-5162	176	36	the	the	DET
ejpam-5162	176	37	stp	stp	PROPN
ejpam-5162	176	38	with	with	SCONJ
ejpam-5162	176	39	the	the	DET
ejpam-5162	176	40	imprecise	imprecise	ADJ
ejpam-5162	176	41	data	datum	NOUN
ejpam-5162	176	42	by	by	ADP
ejpam-5162	176	43	using	use	VERB
ejpam-5162	176	44	ld	ld	PROPN
ejpam-5162	176	45	is	be	AUX
ejpam-5162	176	46	used	use	VERB
ejpam-5162	176	47	for	for	ADP
ejpam-5162	176	48	probabilistic	probabilistic	ADJ
ejpam-5162	176	49	only	only	ADV
ejpam-5162	176	50	for	for	ADP
ejpam-5162	176	51	demand	demand	NOUN
ejpam-5162	176	52	constraints	constraint	NOUN
ejpam-5162	176	53	and	and	CCONJ
ejpam-5162	176	54	supply	supply	NOUN
ejpam-5162	176	55	constraints	constraint	NOUN
ejpam-5162	176	56	are	be	AUX
ejpam-5162	176	57	certain	certain	ADJ
ejpam-5162	176	58	.	.	PUNCT
ejpam-5162	177	1	the	the	DET
ejpam-5162	177	2	mathematics	mathematics	NOUN
ejpam-5162	177	3	formulation	formulation	NOUN
ejpam-5162	177	4	can	can	AUX
ejpam-5162	177	5	be	be	AUX
ejpam-5162	177	6	represented	represent	VERB
ejpam-5162	177	7	as	as	SCONJ
ejpam-5162	177	8	follows	follow	VERB
ejpam-5162	177	9	as	as	ADP
ejpam-5162	177	10	minimizez	minimizez	NOUN
ejpam-5162	177	11	=	=	SYM
ejpam-5162	178	1	m∑	m∑	ADP
ejpam-5162	178	2	i=1	i=1	PROPN
ejpam-5162	178	3	n∑	n∑	PROPN
ejpam-5162	178	4	j=1	j=1	ADJ
ejpam-5162	179	1	cij((1−	cij((1−	NOUN
ejpam-5162	179	2	α̂)x̄ij	α̂)x̄ij	NOUN
ejpam-5162	179	3	+	+	CCONJ
ejpam-5162	179	4	α̂xij	α̂xij	NUM
ejpam-5162	179	5	)	)	PUNCT
ejpam-5162	179	6	subject	subject	NOUN
ejpam-5162	179	7	to	to	ADP
ejpam-5162	179	8	constriants	constriant	NOUN
ejpam-5162	179	9	,	,	PUNCT
ejpam-5162	179	10	n∑	n∑	PROPN
ejpam-5162	179	11	j=1	j=1	PROPN
ejpam-5162	179	12	xij	xij	PRON
ejpam-5162	179	13	≥	≥	AUX
ejpam-5162	179	14	ai	ai	VERB
ejpam-5162	179	15	,	,	PUNCT
ejpam-5162	179	16	i	i	PROPN
ejpam-5162	179	17	∈	∈	PROPN
ejpam-5162	179	18	i1	i1	PROPN
ejpam-5162	179	19	(	(	PUNCT
ejpam-5162	179	20	8)	8)	NUM
ejpam-5162	179	21	n∑	n∑	NOUN
ejpam-5162	179	22	j=1	j=1	PROPN
ejpam-5162	179	23	xij	xij	PROPN
ejpam-5162	179	24	=	=	PUNCT
ejpam-5162	179	25	ai	ai	VERB
ejpam-5162	179	26	,	,	PUNCT
ejpam-5162	179	27	i	i	PROPN
ejpam-5162	179	28	∈	∈	PROPN
ejpam-5162	179	29	i2	i2	PROPN
ejpam-5162	179	30	(	(	PUNCT
ejpam-5162	179	31	9	9	NUM
ejpam-5162	179	32	)	)	PUNCT
ejpam-5162	179	33	p.	p.	NOUN
ejpam-5162	179	34	bhavana	bhavana	PROPN
ejpam-5162	179	35	,	,	PUNCT
ejpam-5162	179	36	d.	d.	PROPN
ejpam-5162	179	37	kalpana	kalpana	PROPN
ejpam-5162	179	38	/	/	SYM
ejpam-5162	179	39	eur	eur	PROPN
ejpam-5162	179	40	.	.	PUNCT
ejpam-5162	180	1	j.	j.	PROPN
ejpam-5162	180	2	pure	pure	PROPN
ejpam-5162	180	3	appl	appl	PROPN
ejpam-5162	180	4	.	.	PROPN
ejpam-5162	180	5	math	math	PROPN
ejpam-5162	180	6	,	,	PUNCT
ejpam-5162	180	7	17	17	NUM
ejpam-5162	180	8	(	(	PUNCT
ejpam-5162	180	9	2	2	NUM
ejpam-5162	180	10	)	)	PUNCT
ejpam-5162	180	11	(	(	PUNCT
ejpam-5162	180	12	2024	2024	NUM
ejpam-5162	180	13	)	)	PUNCT
ejpam-5162	180	14	,	,	PUNCT
ejpam-5162	180	15	1228	1228	NUM
ejpam-5162	180	16	-	-	SYM
ejpam-5162	180	17	1243	1243	NUM
ejpam-5162	180	18	1237	1237	NUM
ejpam-5162	180	19	n∑	n∑	PUNCT
ejpam-5162	181	1	j=1	j=1	NOUN
ejpam-5162	181	2	xij	xij	PROPN
ejpam-5162	181	3	≤	≤	PROPN
ejpam-5162	181	4	ai	ai	VERB
ejpam-5162	181	5	,	,	PUNCT
ejpam-5162	181	6	i	i	PRON
ejpam-5162	181	7	∈	∈	PROPN
ejpam-5162	181	8	i3	i3	NOUN
ejpam-5162	181	9	(	(	PUNCT
ejpam-5162	181	10	10	10	NUM
ejpam-5162	181	11	)	)	PUNCT
ejpam-5162	181	12	m∑	m∑	CCONJ
ejpam-5162	181	13	i=1	i=1	PROPN
ejpam-5162	181	14	xij	xij	PROPN
ejpam-5162	181	15	≤	≤	PROPN
ejpam-5162	181	16	ξai	ξai	PROPN
ejpam-5162	181	17	−	−	PROPN
ejpam-5162	181	18	βai[1	βai[1	PUNCT
ejpam-5162	182	1	+	+	CCONJ
ejpam-5162	182	2	(	(	PUNCT
ejpam-5162	182	3	p	p	X
ejpam-5162	182	4	(	(	PUNCT
ejpam-5162	182	5	ai)−	ai)−	NOUN
ejpam-5162	182	6	1	1	NUM
ejpam-5162	182	7	)	)	PUNCT
ejpam-5162	182	8	−	−	PROPN
ejpam-5162	182	9	1	1	NUM
ejpam-5162	182	10	αai	αai	NOUN
ejpam-5162	182	11	]	]	PUNCT
ejpam-5162	182	12	,	,	PUNCT
ejpam-5162	182	13	j	j	PROPN
ejpam-5162	182	14	∈	∈	PROPN
ejpam-5162	182	15	j1	j1	PROPN
ejpam-5162	182	16	(	(	PUNCT
ejpam-5162	182	17	11	11	NUM
ejpam-5162	182	18	)	)	PUNCT
ejpam-5162	182	19	m∑	m∑	CCONJ
ejpam-5162	182	20	i=1	i=1	PROPN
ejpam-5162	182	21	xij	xij	PROPN
ejpam-5162	182	22	=	=	PUNCT
ejpam-5162	182	23	ξbj	ξbj	NOUN
ejpam-5162	182	24	+	+	CCONJ
ejpam-5162	182	25	βbj	βbj	NOUN
ejpam-5162	183	1	[	[	X
ejpam-5162	183	2	(	(	PUNCT
ejpam-5162	183	3	p	p	X
ejpam-5162	183	4	(	(	PUNCT
ejpam-5162	183	5	bj	bj	NOUN
ejpam-5162	183	6	)	)	PUNCT
ejpam-5162	183	7	+	+	CCONJ
ejpam-5162	183	8	1	1	X
ejpam-5162	183	9	)	)	PUNCT
ejpam-5162	183	10	−	−	PROPN
ejpam-5162	183	11	1	1	NUM
ejpam-5162	183	12	αbj	αbj	NOUN
ejpam-5162	183	13	−	−	PROPN
ejpam-5162	183	14	1	1	NUM
ejpam-5162	183	15	]	]	PUNCT
ejpam-5162	183	16	,	,	PUNCT
ejpam-5162	183	17	j	j	PROPN
ejpam-5162	183	18	∈	∈	PROPN
ejpam-5162	183	19	j2	j2	PROPN
ejpam-5162	183	20	(	(	PUNCT
ejpam-5162	183	21	12	12	NUM
ejpam-5162	183	22	)	)	PUNCT
ejpam-5162	183	23	m∑	m∑	CCONJ
ejpam-5162	183	24	i=1	i=1	PROPN
ejpam-5162	183	25	xij	xij	PROPN
ejpam-5162	183	26	≥	≥	NUM
ejpam-5162	183	27	ξbj	ξbj	NOUN
ejpam-5162	183	28	+	+	CCONJ
ejpam-5162	183	29	βbj	βbj	NOUN
ejpam-5162	184	1	[	[	X
ejpam-5162	184	2	(	(	PUNCT
ejpam-5162	184	3	p	p	X
ejpam-5162	184	4	(	(	PUNCT
ejpam-5162	184	5	bj	bj	NOUN
ejpam-5162	184	6	)	)	PUNCT
ejpam-5162	184	7	+	+	CCONJ
ejpam-5162	184	8	1	1	X
ejpam-5162	184	9	)	)	PUNCT
ejpam-5162	184	10	−	−	PROPN
ejpam-5162	184	11	1	1	NUM
ejpam-5162	184	12	αbj	αbj	NOUN
ejpam-5162	184	13	−	−	PROPN
ejpam-5162	184	14	1	1	NUM
ejpam-5162	184	15	]	]	PUNCT
ejpam-5162	184	16	,	,	PUNCT
ejpam-5162	184	17	j	j	PROPN
ejpam-5162	184	18	∈	∈	PROPN
ejpam-5162	184	19	j3	j3	PROPN
ejpam-5162	184	20	(	(	PUNCT
ejpam-5162	184	21	13	13	NUM
ejpam-5162	184	22	)	)	PUNCT
ejpam-5162	184	23	and	and	CCONJ
ejpam-5162	184	24	xij	xij	PRON
ejpam-5162	184	25	≥	≥	NOUN
ejpam-5162	184	26	0	0	NUM
ejpam-5162	184	27	model	model	NOUN
ejpam-5162	184	28	3	3	NUM
ejpam-5162	184	29	.	.	PUNCT
ejpam-5162	185	1	both	both	PRON
ejpam-5162	185	2	ai	ai	VERB
ejpam-5162	185	3	and	and	CCONJ
ejpam-5162	185	4	bj	bj	VERB
ejpam-5162	185	5	follows	follow	VERB
ejpam-5162	185	6	uncertainty	uncertainty	NOUN
ejpam-5162	185	7	for	for	ADP
ejpam-5162	185	8	modulation	modulation	NOUN
ejpam-5162	185	9	of	of	ADP
ejpam-5162	185	10	the	the	DET
ejpam-5162	185	11	stp	stp	PROPN
ejpam-5162	185	12	with	with	SCONJ
ejpam-5162	185	13	the	the	DET
ejpam-5162	185	14	imprecise	imprecise	ADJ
ejpam-5162	185	15	data	datum	NOUN
ejpam-5162	185	16	by	by	ADP
ejpam-5162	185	17	using	use	VERB
ejpam-5162	185	18	ld	ld	PROPN
ejpam-5162	185	19	is	be	AUX
ejpam-5162	185	20	used	use	VERB
ejpam-5162	185	21	for	for	ADP
ejpam-5162	185	22	probabilistic	probabilistic	ADJ
ejpam-5162	185	23	both	both	DET
ejpam-5162	185	24	supply	supply	NOUN
ejpam-5162	185	25	and	and	CCONJ
ejpam-5162	185	26	demand	demand	NOUN
ejpam-5162	185	27	constraints	constraint	NOUN
ejpam-5162	185	28	.	.	PUNCT
ejpam-5162	186	1	the	the	DET
ejpam-5162	186	2	mathematics	mathematics	NOUN
ejpam-5162	186	3	formulation	formulation	NOUN
ejpam-5162	186	4	can	can	AUX
ejpam-5162	186	5	be	be	AUX
ejpam-5162	186	6	represented	represent	VERB
ejpam-5162	186	7	as	as	SCONJ
ejpam-5162	186	8	follows	follow	VERB
ejpam-5162	186	9	as	as	ADP
ejpam-5162	186	10	minimizez	minimizez	NOUN
ejpam-5162	186	11	=	=	SYM
ejpam-5162	187	1	m∑	m∑	ADP
ejpam-5162	187	2	i=1	i=1	PROPN
ejpam-5162	187	3	n∑	n∑	PROPN
ejpam-5162	187	4	j=1	j=1	ADJ
ejpam-5162	188	1	cij((1−	cij((1−	NOUN
ejpam-5162	188	2	α̂)x̄ij	α̂)x̄ij	NOUN
ejpam-5162	188	3	+	+	CCONJ
ejpam-5162	188	4	α̂xij	α̂xij	NUM
ejpam-5162	188	5	)	)	PUNCT
ejpam-5162	188	6	subject	subject	NOUN
ejpam-5162	188	7	to	to	ADP
ejpam-5162	188	8	constriants	constriant	NOUN
ejpam-5162	188	9	,	,	PUNCT
ejpam-5162	188	10	n∑	n∑	NOUN
ejpam-5162	188	11	j=1	j=1	PROPN
ejpam-5162	188	12	xij	xij	PROPN
ejpam-5162	188	13	≤	≤	PROPN
ejpam-5162	188	14	ξai	ξai	PROPN
ejpam-5162	188	15	−	−	PROPN
ejpam-5162	188	16	βai[1	βai[1	PUNCT
ejpam-5162	188	17	+	+	CCONJ
ejpam-5162	188	18	(	(	PUNCT
ejpam-5162	188	19	p	p	X
ejpam-5162	188	20	(	(	PUNCT
ejpam-5162	188	21	ai)−	ai)−	NOUN
ejpam-5162	188	22	1	1	NUM
ejpam-5162	188	23	)	)	PUNCT
ejpam-5162	188	24	−	−	PROPN
ejpam-5162	188	25	1	1	NUM
ejpam-5162	188	26	αai	αai	NOUN
ejpam-5162	188	27	]	]	PUNCT
ejpam-5162	188	28	,	,	PUNCT
ejpam-5162	188	29	i	i	PROPN
ejpam-5162	188	30	∈	∈	PROPN
ejpam-5162	188	31	i1	i1	PROPN
ejpam-5162	188	32	(	(	PUNCT
ejpam-5162	188	33	14	14	NUM
ejpam-5162	188	34	)	)	PUNCT
ejpam-5162	189	1	n∑	n∑	NOUN
ejpam-5162	190	1	j=1	j=1	NOUN
ejpam-5162	190	2	xij	xij	PROPN
ejpam-5162	190	3	=	=	PUNCT
ejpam-5162	190	4	ξai	ξai	PROPN
ejpam-5162	190	5	−	−	NOUN
ejpam-5162	190	6	βai[1	βai[1	PUNCT
ejpam-5162	190	7	+	+	CCONJ
ejpam-5162	190	8	(	(	PUNCT
ejpam-5162	190	9	p	p	X
ejpam-5162	190	10	(	(	PUNCT
ejpam-5162	190	11	ai)−	ai)−	NOUN
ejpam-5162	190	12	1	1	NUM
ejpam-5162	190	13	)	)	PUNCT
ejpam-5162	190	14	−	−	PROPN
ejpam-5162	190	15	1	1	NUM
ejpam-5162	190	16	αai	αai	NOUN
ejpam-5162	190	17	]	]	PUNCT
ejpam-5162	190	18	,	,	PUNCT
ejpam-5162	190	19	i	i	PROPN
ejpam-5162	190	20	∈	∈	PROPN
ejpam-5162	190	21	i2	i2	PROPN
ejpam-5162	190	22	(	(	PUNCT
ejpam-5162	190	23	15	15	NUM
ejpam-5162	190	24	)	)	PUNCT
ejpam-5162	190	25	n∑	n∑	NOUN
ejpam-5162	191	1	j=1	j=1	PROPN
ejpam-5162	191	2	xij	xij	PROPN
ejpam-5162	191	3	≥	≥	AUX
ejpam-5162	191	4	ξbj	ξbj	NOUN
ejpam-5162	191	5	+	+	CCONJ
ejpam-5162	191	6	βbj	βbj	NOUN
ejpam-5162	192	1	[	[	X
ejpam-5162	192	2	(	(	PUNCT
ejpam-5162	192	3	p	p	X
ejpam-5162	192	4	(	(	PUNCT
ejpam-5162	192	5	bj	bj	NOUN
ejpam-5162	192	6	)	)	PUNCT
ejpam-5162	192	7	+	+	CCONJ
ejpam-5162	192	8	1	1	X
ejpam-5162	192	9	)	)	PUNCT
ejpam-5162	192	10	−	−	PROPN
ejpam-5162	192	11	1	1	NUM
ejpam-5162	192	12	αbj	αbj	NOUN
ejpam-5162	192	13	−	−	PROPN
ejpam-5162	192	14	1	1	NUM
ejpam-5162	192	15	]	]	PUNCT
ejpam-5162	192	16	,	,	PUNCT
ejpam-5162	192	17	i	i	PRON
ejpam-5162	192	18	∈	∈	PROPN
ejpam-5162	192	19	i3	i3	NOUN
ejpam-5162	192	20	(	(	PUNCT
ejpam-5162	192	21	16	16	NUM
ejpam-5162	192	22	)	)	PUNCT
ejpam-5162	192	23	m∑	m∑	CCONJ
ejpam-5162	192	24	i=1	i=1	PROPN
ejpam-5162	192	25	xij	xij	PROPN
ejpam-5162	192	26	≤	≤	PROPN
ejpam-5162	192	27	ξai	ξai	PROPN
ejpam-5162	192	28	−	−	PROPN
ejpam-5162	192	29	βai[1	βai[1	PUNCT
ejpam-5162	192	30	+	+	CCONJ
ejpam-5162	192	31	(	(	PUNCT
ejpam-5162	192	32	p	p	X
ejpam-5162	192	33	(	(	PUNCT
ejpam-5162	192	34	ai)−	ai)−	NOUN
ejpam-5162	192	35	1	1	NUM
ejpam-5162	192	36	)	)	PUNCT
ejpam-5162	192	37	−	−	PROPN
ejpam-5162	192	38	1	1	NUM
ejpam-5162	192	39	αai	αai	NOUN
ejpam-5162	192	40	]	]	PUNCT
ejpam-5162	192	41	,	,	PUNCT
ejpam-5162	192	42	j	j	PROPN
ejpam-5162	192	43	∈	∈	PROPN
ejpam-5162	192	44	j1	j1	PROPN
ejpam-5162	192	45	(	(	PUNCT
ejpam-5162	192	46	17	17	NUM
ejpam-5162	192	47	)	)	PUNCT
ejpam-5162	192	48	m∑	m∑	CCONJ
ejpam-5162	192	49	i=1	i=1	PROPN
ejpam-5162	192	50	xij	xij	PROPN
ejpam-5162	193	1	=	=	PUNCT
ejpam-5162	193	2	ξbj	ξbj	NOUN
ejpam-5162	194	1	+	+	CCONJ
ejpam-5162	194	2	βbj	βbj	NOUN
ejpam-5162	195	1	[	[	X
ejpam-5162	195	2	(	(	PUNCT
ejpam-5162	195	3	p	p	X
ejpam-5162	195	4	(	(	PUNCT
ejpam-5162	195	5	bj	bj	NOUN
ejpam-5162	195	6	)	)	PUNCT
ejpam-5162	195	7	+	+	CCONJ
ejpam-5162	195	8	1	1	X
ejpam-5162	195	9	)	)	PUNCT
ejpam-5162	195	10	−	−	PROPN
ejpam-5162	195	11	1	1	NUM
ejpam-5162	195	12	αbj	αbj	NOUN
ejpam-5162	195	13	−	−	PROPN
ejpam-5162	195	14	1	1	NUM
ejpam-5162	195	15	]	]	PUNCT
ejpam-5162	195	16	,	,	PUNCT
ejpam-5162	195	17	j	j	PROPN
ejpam-5162	195	18	∈	∈	PROPN
ejpam-5162	195	19	j2	j2	PROPN
ejpam-5162	195	20	(	(	PUNCT
ejpam-5162	195	21	18	18	NUM
ejpam-5162	195	22	)	)	PUNCT
ejpam-5162	195	23	m∑	m∑	CCONJ
ejpam-5162	195	24	i=1	i=1	PROPN
ejpam-5162	195	25	xij	xij	PROPN
ejpam-5162	195	26	≥	≥	NUM
ejpam-5162	195	27	ξbj	ξbj	NOUN
ejpam-5162	195	28	+	+	CCONJ
ejpam-5162	195	29	βbj	βbj	NOUN
ejpam-5162	196	1	[	[	X
ejpam-5162	196	2	(	(	PUNCT
ejpam-5162	196	3	p	p	X
ejpam-5162	196	4	(	(	PUNCT
ejpam-5162	196	5	bj	bj	NOUN
ejpam-5162	196	6	)	)	PUNCT
ejpam-5162	196	7	+	+	CCONJ
ejpam-5162	196	8	1	1	X
ejpam-5162	196	9	)	)	PUNCT
ejpam-5162	196	10	−	−	PROPN
ejpam-5162	196	11	1	1	NUM
ejpam-5162	196	12	αbj	αbj	NOUN
ejpam-5162	196	13	−	−	PROPN
ejpam-5162	196	14	1	1	NUM
ejpam-5162	196	15	]	]	PUNCT
ejpam-5162	196	16	,	,	PUNCT
ejpam-5162	196	17	j	j	PROPN
ejpam-5162	196	18	∈	∈	PROPN
ejpam-5162	196	19	j3	j3	PROPN
ejpam-5162	196	20	(	(	PUNCT
ejpam-5162	196	21	19	19	NUM
ejpam-5162	196	22	)	)	PUNCT
ejpam-5162	196	23	and	and	CCONJ
ejpam-5162	196	24	xij	xij	PRON
ejpam-5162	196	25	≥	≥	PROPN
ejpam-5162	196	26	0	0	NUM
ejpam-5162	196	27	.	.	PUNCT
ejpam-5162	197	1	p.	p.	NOUN
ejpam-5162	197	2	bhavana	bhavana	PROPN
ejpam-5162	197	3	,	,	PUNCT
ejpam-5162	197	4	d.	d.	PROPN
ejpam-5162	197	5	kalpana	kalpana	PROPN
ejpam-5162	197	6	/	/	SYM
ejpam-5162	197	7	eur	eur	PROPN
ejpam-5162	197	8	.	.	PUNCT
ejpam-5162	198	1	j.	j.	PROPN
ejpam-5162	198	2	pure	pure	PROPN
ejpam-5162	198	3	appl	appl	PROPN
ejpam-5162	198	4	.	.	PROPN
ejpam-5162	198	5	math	math	PROPN
ejpam-5162	198	6	,	,	PUNCT
ejpam-5162	198	7	17	17	NUM
ejpam-5162	198	8	(	(	PUNCT
ejpam-5162	198	9	2	2	NUM
ejpam-5162	198	10	)	)	PUNCT
ejpam-5162	198	11	(	(	PUNCT
ejpam-5162	198	12	2024	2024	NUM
ejpam-5162	198	13	)	)	PUNCT
ejpam-5162	198	14	,	,	PUNCT
ejpam-5162	198	15	1228	1228	NUM
ejpam-5162	198	16	-	-	SYM
ejpam-5162	198	17	1243	1243	NUM
ejpam-5162	198	18	1238	1238	NUM
ejpam-5162	198	19	example	example	NOUN
ejpam-5162	198	20	1	1	NUM
ejpam-5162	198	21	.	.	PUNCT
ejpam-5162	199	1	this	this	DET
ejpam-5162	199	2	section	section	NOUN
ejpam-5162	199	3	offers	offer	VERB
ejpam-5162	199	4	an	an	DET
ejpam-5162	199	5	example	example	NOUN
ejpam-5162	199	6	to	to	PART
ejpam-5162	199	7	show	show	VERB
ejpam-5162	199	8	the	the	DET
ejpam-5162	199	9	effectiveness	effectiveness	NOUN
ejpam-5162	199	10	and	and	CCONJ
ejpam-5162	199	11	applicability	applicability	NOUN
ejpam-5162	199	12	.	.	PUNCT
ejpam-5162	200	1	by	by	ADP
ejpam-5162	200	2	taking	take	VERB
ejpam-5162	200	3	from	from	ADP
ejpam-5162	200	4	the	the	DET
ejpam-5162	200	5	weibull	weibull	NOUN
ejpam-5162	200	6	distribution	distribution	NOUN
ejpam-5162	200	7	[	[	X
ejpam-5162	200	8	8	8	NUM
ejpam-5162	200	9	]	]	PUNCT
ejpam-5162	200	10	.	.	PUNCT
ejpam-5162	201	1	there	there	PRON
ejpam-5162	201	2	are	be	VERB
ejpam-5162	201	3	three	three	NUM
ejpam-5162	201	4	factories	factory	NOUN
ejpam-5162	201	5	and	and	CCONJ
ejpam-5162	201	6	four	four	NUM
ejpam-5162	201	7	repositories	repository	NOUN
ejpam-5162	201	8	,	,	PUNCT
ejpam-5162	201	9	and	and	CCONJ
ejpam-5162	201	10	the	the	DET
ejpam-5162	201	11	coal	coal	NOUN
ejpam-5162	201	12	plant	plant	NOUN
ejpam-5162	201	13	produces	produce	VERB
ejpam-5162	201	14	a	a	DET
ejpam-5162	201	15	homogeneous	homogeneous	ADJ
ejpam-5162	201	16	output	output	NOUN
ejpam-5162	201	17	.	.	PUNCT
ejpam-5162	202	1	the	the	DET
ejpam-5162	202	2	manufacturing	manufacturing	NOUN
ejpam-5162	202	3	capacity	capacity	NOUN
ejpam-5162	202	4	of	of	ADP
ejpam-5162	202	5	coal	coal	NOUN
ejpam-5162	202	6	plant	plant	NOUN
ejpam-5162	202	7	a	a	PRON
ejpam-5162	202	8	is	be	AUX
ejpam-5162	202	9	precisely	precisely	ADV
ejpam-5162	202	10	a1	a1	NOUN
ejpam-5162	202	11	units	unit	NOUN
ejpam-5162	202	12	,	,	PUNCT
ejpam-5162	202	13	the	the	DET
ejpam-5162	202	14	manufacturing	manufacturing	NOUN
ejpam-5162	202	15	capacity	capacity	NOUN
ejpam-5162	202	16	of	of	ADP
ejpam-5162	202	17	coal	coal	NOUN
ejpam-5162	202	18	plant	plant	NOUN
ejpam-5162	202	19	b	b	NOUN
ejpam-5162	202	20	is	be	AUX
ejpam-5162	202	21	at	at	ADP
ejpam-5162	202	22	least	least	ADJ
ejpam-5162	202	23	a2	a2	PROPN
ejpam-5162	202	24	units	unit	NOUN
ejpam-5162	202	25	,	,	PUNCT
ejpam-5162	202	26	and	and	CCONJ
ejpam-5162	202	27	the	the	DET
ejpam-5162	202	28	manufacturing	manufacturing	NOUN
ejpam-5162	202	29	capacity	capacity	NOUN
ejpam-5162	202	30	of	of	ADP
ejpam-5162	202	31	coal	coal	NOUN
ejpam-5162	202	32	plant	plant	NOUN
ejpam-5162	202	33	c	c	NOUN
ejpam-5162	202	34	is	be	AUX
ejpam-5162	202	35	the	the	DET
ejpam-5162	202	36	greatest	great	ADJ
ejpam-5162	202	37	amount	amount	NOUN
ejpam-5162	202	38	of	of	ADP
ejpam-5162	202	39	a3	a3	NOUN
ejpam-5162	202	40	units	unit	NOUN
ejpam-5162	202	41	.	.	PUNCT
ejpam-5162	203	1	similarly	similarly	ADV
ejpam-5162	203	2	,	,	PUNCT
ejpam-5162	203	3	demand	demand	NOUN
ejpam-5162	203	4	capacity	capacity	NOUN
ejpam-5162	203	5	for	for	ADP
ejpam-5162	203	6	repository	repository	NOUN
ejpam-5162	203	7	1	1	NUM
ejpam-5162	203	8	is	be	AUX
ejpam-5162	203	9	at	at	ADP
ejpam-5162	203	10	least	least	ADJ
ejpam-5162	203	11	b1	b1	ADJ
ejpam-5162	203	12	units	unit	NOUN
ejpam-5162	203	13	;	;	PUNCT
ejpam-5162	203	14	demand	demand	NOUN
ejpam-5162	203	15	capacity	capacity	NOUN
ejpam-5162	203	16	for	for	ADP
ejpam-5162	203	17	repository	repository	NOUN
ejpam-5162	203	18	2	2	NUM
ejpam-5162	203	19	is	be	AUX
ejpam-5162	203	20	at	at	ADP
ejpam-5162	203	21	most	most	ADJ
ejpam-5162	203	22	b2	b2	NOUN
ejpam-5162	203	23	units	unit	NOUN
ejpam-5162	203	24	;	;	PUNCT
ejpam-5162	203	25	and	and	CCONJ
ejpam-5162	203	26	demand	demand	NOUN
ejpam-5162	203	27	capacity	capacity	NOUN
ejpam-5162	203	28	for	for	ADP
ejpam-5162	203	29	repository	repository	NOUN
ejpam-5162	203	30	3	3	NUM
ejpam-5162	203	31	is	be	AUX
ejpam-5162	203	32	at	at	ADP
ejpam-5162	203	33	least	least	ADJ
ejpam-5162	203	34	b3	b3	NOUN
ejpam-5162	203	35	units	unit	NOUN
ejpam-5162	203	36	.	.	PUNCT
ejpam-5162	204	1	repository	repository	NOUN
ejpam-5162	204	2	4	4	NUM
ejpam-5162	204	3	can	can	AUX
ejpam-5162	204	4	hold	hold	VERB
ejpam-5162	204	5	precisely	precisely	ADV
ejpam-5162	204	6	b4	b4	NOUN
ejpam-5162	204	7	units	unit	NOUN
ejpam-5162	204	8	in	in	ADP
ejpam-5162	204	9	demand	demand	NOUN
ejpam-5162	204	10	.	.	PUNCT
ejpam-5162	205	1	if	if	SCONJ
ejpam-5162	205	2	the	the	DET
ejpam-5162	205	3	cost	cost	NOUN
ejpam-5162	205	4	of	of	ADP
ejpam-5162	205	5	transportation	transportation	NOUN
ejpam-5162	205	6	for	for	ADP
ejpam-5162	205	7	each	each	DET
ejpam-5162	205	8	unit	unit	NOUN
ejpam-5162	205	9	from	from	ADP
ejpam-5162	205	10	every	every	DET
ejpam-5162	205	11	coal	coal	NOUN
ejpam-5162	205	12	plant	plant	NOUN
ejpam-5162	205	13	to	to	ADP
ejpam-5162	205	14	every	every	DET
ejpam-5162	205	15	deposit	deposit	NOUN
ejpam-5162	205	16	is	be	AUX
ejpam-5162	205	17	cij	cij	PROPN
ejpam-5162	205	18	,	,	PUNCT
ejpam-5162	205	19	it	it	PRON
ejpam-5162	205	20	is	be	AUX
ejpam-5162	205	21	in	in	ADP
ejpam-5162	205	22	the	the	DET
ejpam-5162	205	23	form	form	NOUN
ejpam-5162	205	24	of	of	ADP
ejpam-5162	205	25	imprecise	imprecise	ADJ
ejpam-5162	205	26	data	datum	NOUN
ejpam-5162	205	27	1	1	NUM
ejpam-5162	205	28	2	2	NUM
ejpam-5162	205	29	3	3	NUM
ejpam-5162	205	30	4	4	NUM
ejpam-5162	205	31	ai	ai	VERB
ejpam-5162	205	32	a	a	DET
ejpam-5162	205	33	(	(	PUNCT
ejpam-5162	205	34	0,0.5,1	0,0.5,1	NOUN
ejpam-5162	205	35	)	)	PUNCT
ejpam-5162	205	36	(	(	PUNCT
ejpam-5162	205	37	2,4,6	2,4,6	NUM
ejpam-5162	205	38	)	)	PUNCT
ejpam-5162	205	39	(	(	PUNCT
ejpam-5162	205	40	1.5,2,3	1.5,2,3	NUM
ejpam-5162	205	41	)	)	PUNCT
ejpam-5162	205	42	(	(	PUNCT
ejpam-5162	205	43	2,4,5	2,4,5	NOUN
ejpam-5162	205	44	)	)	PUNCT
ejpam-5162	205	45	=	=	NOUN
ejpam-5162	205	46	a1	a1	NOUN
ejpam-5162	205	47	b	b	PROPN
ejpam-5162	205	48	(	(	PUNCT
ejpam-5162	205	49	3,5,7	3,5,7	NUM
ejpam-5162	205	50	)	)	PUNCT
ejpam-5162	205	51	(	(	PUNCT
ejpam-5162	205	52	1.5,2,3	1.5,2,3	NOUN
ejpam-5162	205	53	)	)	PUNCT
ejpam-5162	205	54	(	(	PUNCT
ejpam-5162	205	55	0,0.5,1	0,0.5,1	NOUN
ejpam-5162	205	56	)	)	PUNCT
ejpam-5162	205	57	(	(	PUNCT
ejpam-5162	205	58	4,5.8,6	4,5.8,6	NUM
ejpam-5162	205	59	)	)	PUNCT
ejpam-5162	205	60	≥	≥	NOUN
ejpam-5162	205	61	a2	a2	PROPN
ejpam-5162	205	62	c	c	PROPN
ejpam-5162	205	63	(	(	PUNCT
ejpam-5162	205	64	7,8.5,9	7,8.5,9	NUM
ejpam-5162	205	65	)	)	PUNCT
ejpam-5162	205	66	(	(	PUNCT
ejpam-5162	205	67	2.5,3,4	2.5,3,4	NOUN
ejpam-5162	205	68	)	)	PUNCT
ejpam-5162	205	69	(	(	PUNCT
ejpam-5162	205	70	3,4,5	3,4,5	NUM
ejpam-5162	205	71	)	)	PUNCT
ejpam-5162	205	72	(	(	PUNCT
ejpam-5162	205	73	2,3,4	2,3,4	NUM
ejpam-5162	205	74	)	)	PUNCT
ejpam-5162	205	75	≤	≤	NOUN
ejpam-5162	205	76	a3	a3	NOUN
ejpam-5162	205	77	bj	bj	VERB
ejpam-5162	205	78	≥	≥	NOUN
ejpam-5162	205	79	b1	b1	PROPN
ejpam-5162	205	80	≤	≤	NUM
ejpam-5162	205	81	b2	b2	PROPN
ejpam-5162	205	82	≥	≥	NOUN
ejpam-5162	205	83	b3	b3	NOUN
ejpam-5162	205	84	=	=	SYM
ejpam-5162	205	85	b4	b4	NOUN
ejpam-5162	205	86	table	table	NOUN
ejpam-5162	205	87	1	1	NUM
ejpam-5162	205	88	:	:	PUNCT
ejpam-5162	205	89	fuzzy	fuzzy	ADJ
ejpam-5162	205	90	data	datum	NOUN
ejpam-5162	205	91	i.e.	i.e.	X
ejpam-5162	205	92	,	,	PUNCT
ejpam-5162	205	93	tfn	tfn	NOUN
ejpam-5162	205	94	by	by	ADP
ejpam-5162	205	95	using	use	VERB
ejpam-5162	205	96	the	the	DET
ejpam-5162	205	97	linear	linear	ADJ
ejpam-5162	205	98	membership	membership	NOUN
ejpam-5162	205	99	function	function	NOUN
ejpam-5162	205	100	of	of	ADP
ejpam-5162	205	101	alpha	alpha	NOUN
ejpam-5162	205	102	cut	cut	NOUN
ejpam-5162	205	103	representation	representation	NOUN
ejpam-5162	205	104	it	it	PRON
ejpam-5162	205	105	will	will	AUX
ejpam-5162	205	106	be	be	AUX
ejpam-5162	205	107	convert	convert	VERB
ejpam-5162	205	108	into	into	ADP
ejpam-5162	205	109	crisp	crisp	ADJ
ejpam-5162	205	110	data	datum	NOUN
ejpam-5162	205	111	.	.	PUNCT
ejpam-5162	206	1	by	by	ADP
ejpam-5162	206	2	using	use	VERB
ejpam-5162	206	3	these	these	DET
ejpam-5162	206	4	formula	formula	NOUN
ejpam-5162	206	5	with	with	ADP
ejpam-5162	206	6	alpha	alpha	ADJ
ejpam-5162	206	7	value	value	NOUN
ejpam-5162	206	8	as	as	ADP
ejpam-5162	206	9	”	"	PUNCT
ejpam-5162	206	10	0	0	NUM
ejpam-5162	206	11	”	"	PUNCT
ejpam-5162	206	12	,	,	PUNCT
ejpam-5162	206	13	it	it	PRON
ejpam-5162	206	14	represent	represent	VERB
ejpam-5162	206	15	in	in	ADP
ejpam-5162	206	16	given	give	VERB
ejpam-5162	206	17	table	table	NOUN
ejpam-5162	206	18	into	into	ADP
ejpam-5162	206	19	crisp	crisp	ADJ
ejpam-5162	206	20	data	datum	NOUN
ejpam-5162	206	21	,	,	PUNCT
ejpam-5162	206	22	xij	xij	PROPN
ejpam-5162	206	23	=	=	SYM
ejpam-5162	206	24	(	(	PUNCT
ejpam-5162	206	25	(	(	PUNCT
ejpam-5162	206	26	1−	1−	NUM
ejpam-5162	206	27	α̂)x̄ij	α̂)x̄ij	NOUN
ejpam-5162	206	28	+	+	CCONJ
ejpam-5162	206	29	α̂xij)∀[0	α̂xij)∀[0	NUM
ejpam-5162	206	30	,	,	PUNCT
ejpam-5162	206	31	1	1	NUM
ejpam-5162	206	32	]	]	SYM
ejpam-5162	206	33	1	1	NUM
ejpam-5162	206	34	2	2	NUM
ejpam-5162	206	35	3	3	NUM
ejpam-5162	206	36	4	4	NUM
ejpam-5162	206	37	ai	ai	VERB
ejpam-5162	206	38	a	a	DET
ejpam-5162	206	39	1	1	NUM
ejpam-5162	206	40	6	6	NUM
ejpam-5162	206	41	3	3	NUM
ejpam-5162	206	42	5	5	NUM
ejpam-5162	206	43	=	=	NOUN
ejpam-5162	206	44	a1	a1	NOUN
ejpam-5162	206	45	b	b	NOUN
ejpam-5162	206	46	7	7	NUM
ejpam-5162	206	47	3	3	NUM
ejpam-5162	206	48	1	1	NUM
ejpam-5162	206	49	6	6	NUM
ejpam-5162	206	50	≥	≥	NOUN
ejpam-5162	206	51	a2	a2	PROPN
ejpam-5162	206	52	c	c	NOUN
ejpam-5162	206	53	9	9	NUM
ejpam-5162	206	54	4	4	NUM
ejpam-5162	206	55	5	5	NUM
ejpam-5162	206	56	4	4	NUM
ejpam-5162	206	57	≤	≤	NOUN
ejpam-5162	206	58	a3	a3	NOUN
ejpam-5162	206	59	bj	bj	VERB
ejpam-5162	206	60	≥	≥	NOUN
ejpam-5162	206	61	b1	b1	PROPN
ejpam-5162	206	62	≤	≤	NUM
ejpam-5162	206	63	b2	b2	PROPN
ejpam-5162	206	64	≥	≥	NOUN
ejpam-5162	206	65	b3	b3	NOUN
ejpam-5162	206	66	=	=	SYM
ejpam-5162	206	67	b4	b4	NOUN
ejpam-5162	206	68	table	table	NOUN
ejpam-5162	206	69	2	2	NUM
ejpam-5162	206	70	:	:	PUNCT
ejpam-5162	206	71	crisp	crisp	ADJ
ejpam-5162	206	72	data	datum	NOUN
ejpam-5162	206	73	here	here	ADV
ejpam-5162	206	74	the	the	DET
ejpam-5162	206	75	following	follow	VERB
ejpam-5162	206	76	arbitrary	arbitrary	ADJ
ejpam-5162	206	77	nominal	nominal	ADJ
ejpam-5162	206	78	values	value	NOUN
ejpam-5162	206	79	of	of	ADP
ejpam-5162	206	80	certain	certain	ADJ
ejpam-5162	206	81	constants	constant	NOUN
ejpam-5162	206	82	are	be	AUX
ejpam-5162	206	83	supplied	supply	VERB
ejpam-5162	206	84	as	as	ADP
ejpam-5162	206	85	a1	a1	NOUN
ejpam-5162	206	86	=	=	SYM
ejpam-5162	206	87	20	20	NUM
ejpam-5162	206	88	,	,	PUNCT
ejpam-5162	206	89	a2	a2	PROPN
ejpam-5162	206	90	=	=	SYM
ejpam-5162	206	91	16	16	NUM
ejpam-5162	206	92	a3	a3	NOUN
ejpam-5162	206	93	=	=	SYM
ejpam-5162	206	94	25	25	NUM
ejpam-5162	206	95	,	,	PUNCT
ejpam-5162	206	96	and	and	CCONJ
ejpam-5162	206	97	demand	demand	NOUN
ejpam-5162	206	98	as	as	ADP
ejpam-5162	206	99	b1	b1	NOUN
ejpam-5162	206	100	=	=	SYM
ejpam-5162	206	101	11	11	NUM
ejpam-5162	206	102	,	,	PUNCT
ejpam-5162	206	103	b2	b2	NOUN
ejpam-5162	206	104	=	=	SYM
ejpam-5162	206	105	13	13	NUM
ejpam-5162	206	106	,	,	PUNCT
ejpam-5162	206	107	b3=	b3=	NOUN
ejpam-5162	206	108	17	17	NUM
ejpam-5162	206	109	,	,	PUNCT
ejpam-5162	206	110	b4=	b4=	PROPN
ejpam-5162	206	111	14	14	NUM
ejpam-5162	206	112	in	in	ADP
ejpam-5162	206	113	the	the	DET
ejpam-5162	206	114	following	follow	VERB
ejpam-5162	206	115	sections	section	NOUN
ejpam-5162	206	116	.	.	PUNCT
ejpam-5162	207	1	furthermore	furthermore	ADV
ejpam-5162	207	2	,	,	PUNCT
ejpam-5162	207	3	probabilities	probability	NOUN
ejpam-5162	207	4	are	be	AUX
ejpam-5162	207	5	given	give	VERB
ejpam-5162	207	6	as	as	ADP
ejpam-5162	207	7	pa1	pa1	NOUN
ejpam-5162	207	8	=	=	PROPN
ejpam-5162	207	9	0.50	0.50	NUM
ejpam-5162	207	10	,	,	PUNCT
ejpam-5162	207	11	pa2=	pa2=	NOUN
ejpam-5162	207	12	0.96	0.96	NUM
ejpam-5162	207	13	,	,	PUNCT
ejpam-5162	207	14	pa3=	pa3=	PROPN
ejpam-5162	207	15	0.95	0.95	NUM
ejpam-5162	207	16	,	,	PUNCT
ejpam-5162	207	17	pb1=	pb1=	NOUN
ejpam-5162	207	18	0.26	0.26	NUM
ejpam-5162	207	19	,	,	PUNCT
ejpam-5162	207	20	pb2=	pb2=	NOUN
ejpam-5162	207	21	0.29	0.29	NUM
ejpam-5162	207	22	,	,	PUNCT
ejpam-5162	207	23	pb3=	pb3=	NOUN
ejpam-5162	207	24	0.25	0.25	NUM
ejpam-5162	207	25	,	,	PUNCT
ejpam-5162	207	26	pb4=	pb4=	NOUN
ejpam-5162	207	27	0.28	0.28	NUM
ejpam-5162	207	28	.	.	PUNCT
ejpam-5162	208	1	since	since	SCONJ
ejpam-5162	208	2	ai	ai	VERB
ejpam-5162	208	3	and	and	CCONJ
ejpam-5162	208	4	bj	bj	NOUN
ejpam-5162	208	5	are	be	AUX
ejpam-5162	208	6	presumed	presume	VERB
ejpam-5162	208	7	to	to	PART
ejpam-5162	208	8	follow	follow	VERB
ejpam-5162	208	9	lomax	lomax	PROPN
ejpam-5162	208	10	distribution	distribution	NOUN
ejpam-5162	208	11	,	,	PUNCT
ejpam-5162	208	12	the	the	DET
ejpam-5162	208	13	distinct	distinct	ADJ
ejpam-5162	208	14	values	value	NOUN
ejpam-5162	208	15	for	for	ADP
ejpam-5162	208	16	the	the	DET
ejpam-5162	208	17	parameters	parameter	NOUN
ejpam-5162	208	18	are	be	AUX
ejpam-5162	208	19	ξa1	ξa1	PROPN
ejpam-5162	208	20	=	=	NUM
ejpam-5162	208	21	19	19	NUM
ejpam-5162	208	22	,	,	PUNCT
ejpam-5162	208	23	ξa2	ξa2	VERB
ejpam-5162	208	24	=	=	NOUN
ejpam-5162	208	25	13	13	NUM
ejpam-5162	208	26	,	,	PUNCT
ejpam-5162	208	27	ξa3=	ξa3=	ADV
ejpam-5162	208	28	24	24	NUM
ejpam-5162	208	29	,	,	PUNCT
ejpam-5162	208	30	ξb1=	ξb1=	NOUN
ejpam-5162	208	31	10	10	NUM
ejpam-5162	208	32	,	,	PUNCT
ejpam-5162	208	33	ξb2	ξb2	ADJ
ejpam-5162	208	34	=	=	NOUN
ejpam-5162	208	35	11	11	NUM
ejpam-5162	208	36	,	,	PUNCT
ejpam-5162	208	37	ξ	ξ	PROPN
ejpam-5162	208	38	−	−	PROPN
ejpam-5162	208	39	b3=	b3=	NOUN
ejpam-5162	208	40	16	16	NUM
ejpam-5162	208	41	,	,	PUNCT
ejpam-5162	208	42	ξb4	ξb4	NOUN
ejpam-5162	208	43	=	=	SYM
ejpam-5162	208	44	13	13	NUM
ejpam-5162	208	45	and	and	CCONJ
ejpam-5162	208	46	also	also	ADV
ejpam-5162	208	47	the	the	DET
ejpam-5162	208	48	scale	scale	NOUN
ejpam-5162	208	49	parameter	parameter	NOUN
ejpam-5162	208	50	βai	βai	NOUN
ejpam-5162	208	51	and	and	CCONJ
ejpam-5162	208	52	βbj	βbj	ADV
ejpam-5162	208	53	both	both	PRON
ejpam-5162	208	54	are	be	AUX
ejpam-5162	208	55	as	as	ADP
ejpam-5162	208	56	2	2	NUM
ejpam-5162	208	57	and	and	CCONJ
ejpam-5162	208	58	the	the	DET
ejpam-5162	208	59	shape	shape	NOUN
ejpam-5162	208	60	parameter	parameter	NOUN
ejpam-5162	208	61	αai	αai	PROPN
ejpam-5162	208	62	and	and	CCONJ
ejpam-5162	208	63	αbj	αbj	NOUN
ejpam-5162	208	64	are	be	AUX
ejpam-5162	208	65	3	3	NUM
ejpam-5162	208	66	as	as	ADV
ejpam-5162	208	67	taken	take	VERB
ejpam-5162	208	68	.	.	PUNCT
ejpam-5162	209	1	now	now	ADV
ejpam-5162	209	2	the	the	DET
ejpam-5162	209	3	modulations	modulation	NOUN
ejpam-5162	209	4	of	of	ADP
ejpam-5162	209	5	the	the	DET
ejpam-5162	209	6	stochastic	stochastic	ADJ
ejpam-5162	209	7	transportation	transportation	NOUN
ejpam-5162	209	8	problem	problem	NOUN
ejpam-5162	209	9	with	with	ADP
ejpam-5162	209	10	the	the	DET
ejpam-5162	209	11	imprecise	imprecise	ADJ
ejpam-5162	209	12	data	datum	NOUN
ejpam-5162	209	13	by	by	ADP
ejpam-5162	209	14	using	use	VERB
ejpam-5162	209	15	lomax	lomax	PROPN
ejpam-5162	209	16	distribution	distribution	NOUN
ejpam-5162	209	17	as	as	ADP
ejpam-5162	209	18	model-1	model-1	NUM
ejpam-5162	209	19	.	.	PROPN
ejpam-5162	209	20	for	for	ADP
ejpam-5162	209	21	modulation	modulation	NOUN
ejpam-5162	209	22	of	of	ADP
ejpam-5162	209	23	the	the	DET
ejpam-5162	209	24	stp	stp	PROPN
ejpam-5162	209	25	with	with	ADP
ejpam-5162	209	26	the	the	DET
ejpam-5162	209	27	imprecise	imprecise	ADJ
ejpam-5162	209	28	data	datum	NOUN
ejpam-5162	209	29	by	by	ADP
ejpam-5162	209	30	using	use	VERB
ejpam-5162	209	31	ld	ld	PROPN
ejpam-5162	209	32	is	be	AUX
ejpam-5162	209	33	used	use	VERB
ejpam-5162	209	34	for	for	ADP
ejpam-5162	209	35	probabilistic	probabilistic	ADJ
ejpam-5162	209	36	only	only	ADV
ejpam-5162	209	37	for	for	ADP
ejpam-5162	209	38	supply	supply	NOUN
ejpam-5162	209	39	constraints	constraint	NOUN
ejpam-5162	209	40	and	and	CCONJ
ejpam-5162	209	41	demand	demand	NOUN
ejpam-5162	209	42	constraints	constraint	NOUN
ejpam-5162	209	43	are	be	AUX
ejpam-5162	209	44	certain	certain	ADJ
ejpam-5162	209	45	.	.	PUNCT
ejpam-5162	210	1	then	then	ADV
ejpam-5162	210	2	by	by	ADP
ejpam-5162	210	3	using	use	VERB
ejpam-5162	210	4	the	the	DET
ejpam-5162	210	5	lingo	lingo	NOUN
ejpam-5162	210	6	software	software	NOUN
ejpam-5162	210	7	,	,	PUNCT
ejpam-5162	210	8	we	we	PRON
ejpam-5162	210	9	obtain	obtain	VERB
ejpam-5162	210	10	the	the	DET
ejpam-5162	210	11	optimal	optimal	ADJ
ejpam-5162	210	12	transportation	transportation	NOUN
ejpam-5162	210	13	cost	cost	NOUN
ejpam-5162	210	14	as	as	ADP
ejpam-5162	210	15	92.52	92.52	NUM
ejpam-5162	210	16	and	and	CCONJ
ejpam-5162	210	17	x11=	x11=	NUM
ejpam-5162	210	18	11	11	NUM
ejpam-5162	210	19	,	,	PUNCT
ejpam-5162	210	20	x14=	x14=	PROPN
ejpam-5162	210	21	8.52	8.52	NUM
ejpam-5162	210	22	,	,	PUNCT
ejpam-5162	210	23	x23=	x23=	PROPN
ejpam-5162	210	24	17	17	NUM
ejpam-5162	210	25	,	,	PUNCT
ejpam-5162	210	26	x34=5.48	x34=5.48	PROPN
ejpam-5162	210	27	and	and	CCONJ
ejpam-5162	210	28	unit	unit	NOUN
ejpam-5162	210	29	flow	flow	NOUN
ejpam-5162	210	30	as	as	ADP
ejpam-5162	210	31	42	42	NUM
ejpam-5162	210	32	.	.	PUNCT
ejpam-5162	211	1	model-2	model-2	X
ejpam-5162	211	2	.	.	PROPN
ejpam-5162	212	1	for	for	ADP
ejpam-5162	212	2	modulation	modulation	NOUN
ejpam-5162	212	3	of	of	ADP
ejpam-5162	212	4	the	the	DET
ejpam-5162	212	5	stp	stp	PROPN
ejpam-5162	212	6	with	with	ADP
ejpam-5162	212	7	the	the	DET
ejpam-5162	212	8	imprecise	imprecise	ADJ
ejpam-5162	212	9	data	datum	NOUN
ejpam-5162	212	10	by	by	ADP
ejpam-5162	212	11	using	use	VERB
ejpam-5162	212	12	ld	ld	PROPN
ejpam-5162	212	13	is	be	AUX
ejpam-5162	212	14	used	use	VERB
ejpam-5162	212	15	for	for	ADP
ejpam-5162	212	16	probabilistic	probabilistic	ADJ
ejpam-5162	212	17	only	only	ADV
ejpam-5162	212	18	for	for	ADP
ejpam-5162	212	19	demand	demand	NOUN
ejpam-5162	212	20	constraints	constraint	NOUN
ejpam-5162	212	21	and	and	CCONJ
ejpam-5162	212	22	supply	supply	NOUN
ejpam-5162	212	23	constraints	constraint	NOUN
ejpam-5162	212	24	are	be	AUX
ejpam-5162	212	25	certain	certain	ADJ
ejpam-5162	212	26	.	.	PUNCT
ejpam-5162	213	1	p.	p.	NOUN
ejpam-5162	213	2	bhavana	bhavana	PROPN
ejpam-5162	213	3	,	,	PUNCT
ejpam-5162	213	4	d.	d.	PROPN
ejpam-5162	213	5	kalpana	kalpana	PROPN
ejpam-5162	213	6	/	/	SYM
ejpam-5162	213	7	eur	eur	PROPN
ejpam-5162	213	8	.	.	PUNCT
ejpam-5162	214	1	j.	j.	PROPN
ejpam-5162	214	2	pure	pure	PROPN
ejpam-5162	214	3	appl	appl	PROPN
ejpam-5162	214	4	.	.	PROPN
ejpam-5162	214	5	math	math	PROPN
ejpam-5162	214	6	,	,	PUNCT
ejpam-5162	214	7	17	17	NUM
ejpam-5162	214	8	(	(	PUNCT
ejpam-5162	214	9	2	2	NUM
ejpam-5162	214	10	)	)	PUNCT
ejpam-5162	214	11	(	(	PUNCT
ejpam-5162	214	12	2024	2024	NUM
ejpam-5162	214	13	)	)	PUNCT
ejpam-5162	214	14	,	,	PUNCT
ejpam-5162	214	15	1228	1228	NUM
ejpam-5162	214	16	-	-	SYM
ejpam-5162	214	17	1243	1243	NUM
ejpam-5162	214	18	1239	1239	NUM
ejpam-5162	214	19	1	1	NUM
ejpam-5162	214	20	2	2	NUM
ejpam-5162	214	21	3	3	NUM
ejpam-5162	214	22	4	4	NUM
ejpam-5162	214	23	ai	ai	VERB
ejpam-5162	214	24	a	a	DET
ejpam-5162	214	25	1	1	NUM
ejpam-5162	214	26	6	6	NUM
ejpam-5162	214	27	3	3	NUM
ejpam-5162	214	28	5	5	NUM
ejpam-5162	214	29	=	=	SYM
ejpam-5162	214	30	19.52	19.52	NUM
ejpam-5162	214	31	b	b	NOUN
ejpam-5162	214	32	7	7	NUM
ejpam-5162	214	33	3	3	NUM
ejpam-5162	214	34	1	1	NUM
ejpam-5162	214	35	6	6	NUM
ejpam-5162	214	36	≥	≥	NOUN
ejpam-5162	214	37	16.85	16.85	NUM
ejpam-5162	214	38	c	c	NOUN
ejpam-5162	214	39	9	9	NUM
ejpam-5162	214	40	4	4	NUM
ejpam-5162	214	41	5	5	NUM
ejpam-5162	214	42	4	4	NUM
ejpam-5162	214	43	≤	≤	NUM
ejpam-5162	214	44	23.6	23.6	NUM
ejpam-5162	214	45	bj	bj	ADP
ejpam-5162	214	46	≥	≥	NOUN
ejpam-5162	214	47	11	11	NUM
ejpam-5162	214	48	≤	≤	NUM
ejpam-5162	214	49	13	13	NUM
ejpam-5162	214	50	≥	≥	NOUN
ejpam-5162	214	51	17	17	NUM
ejpam-5162	214	52	=	=	SYM
ejpam-5162	214	53	14	14	NUM
ejpam-5162	214	54	table	table	NOUN
ejpam-5162	214	55	3	3	NUM
ejpam-5162	214	56	:	:	PUNCT
ejpam-5162	214	57	only	only	ADV
ejpam-5162	214	58	ai	ai	VERB
ejpam-5162	214	59	are	be	AUX
ejpam-5162	214	60	uncertain	uncertain	ADJ
ejpam-5162	214	61	1	1	NUM
ejpam-5162	214	62	2	2	NUM
ejpam-5162	214	63	3	3	NUM
ejpam-5162	214	64	4	4	NUM
ejpam-5162	214	65	ai	ai	VERB
ejpam-5162	214	66	a	a	DET
ejpam-5162	214	67	1	1	NUM
ejpam-5162	214	68	6	6	NUM
ejpam-5162	214	69	3	3	NUM
ejpam-5162	214	70	5	5	NUM
ejpam-5162	214	71	=	=	SYM
ejpam-5162	214	72	20	20	NUM
ejpam-5162	214	73	b	b	SYM
ejpam-5162	214	74	7	7	NUM
ejpam-5162	214	75	3	3	NUM
ejpam-5162	214	76	1	1	NUM
ejpam-5162	214	77	6	6	NUM
ejpam-5162	214	78	≥	≥	NOUN
ejpam-5162	214	79	16	16	NUM
ejpam-5162	214	80	c	c	NOUN
ejpam-5162	214	81	9	9	NUM
ejpam-5162	214	82	4	4	NUM
ejpam-5162	214	83	5	5	NUM
ejpam-5162	214	84	4	4	NUM
ejpam-5162	214	85	≤	≤	NUM
ejpam-5162	214	86	25	25	NUM
ejpam-5162	214	87	bj	bj	ADP
ejpam-5162	214	88	≥	≥	NOUN
ejpam-5162	214	89	10.15	10.15	NUM
ejpam-5162	214	90	≤	≤	NUM
ejpam-5162	214	91	10.83	10.83	NUM
ejpam-5162	214	92	≥	≥	NOUN
ejpam-5162	214	93	16.2	16.2	NUM
ejpam-5162	214	94	=	=	SYM
ejpam-5162	214	95	12.84	12.84	NUM
ejpam-5162	214	96	table	table	NOUN
ejpam-5162	214	97	4	4	NUM
ejpam-5162	214	98	:	:	PUNCT
ejpam-5162	214	99	only	only	ADV
ejpam-5162	214	100	bj	bj	NOUN
ejpam-5162	214	101	are	be	AUX
ejpam-5162	214	102	uncertain	uncertain	ADJ
ejpam-5162	214	103	then	then	ADV
ejpam-5162	214	104	by	by	ADP
ejpam-5162	214	105	using	use	VERB
ejpam-5162	214	106	the	the	DET
ejpam-5162	214	107	lingo	lingo	NOUN
ejpam-5162	214	108	software	software	NOUN
ejpam-5162	214	109	,	,	PUNCT
ejpam-5162	214	110	we	we	PRON
ejpam-5162	214	111	obtain	obtain	VERB
ejpam-5162	214	112	the	the	DET
ejpam-5162	214	113	optimal	optimal	ADJ
ejpam-5162	214	114	transportation	transportation	NOUN
ejpam-5162	214	115	cost	cost	NOUN
ejpam-5162	214	116	as	as	ADP
ejpam-5162	214	117	87.56	87.56	NUM
ejpam-5162	214	118	and	and	CCONJ
ejpam-5162	214	119	x11=	x11=	PROPN
ejpam-5162	214	120	10.15	10.15	NUM
ejpam-5162	214	121	,	,	PUNCT
ejpam-5162	214	122	x14=	x14=	PROPN
ejpam-5162	214	123	9.85	9.85	NUM
ejpam-5162	214	124	,	,	PUNCT
ejpam-5162	214	125	x23=	x23=	PROPN
ejpam-5162	214	126	16.2	16.2	NUM
ejpam-5162	214	127	,	,	PUNCT
ejpam-5162	214	128	x34=2.99	x34=2.99	PROPN
ejpam-5162	214	129	and	and	CCONJ
ejpam-5162	214	130	unit	unit	NOUN
ejpam-5162	214	131	flow	flow	NOUN
ejpam-5162	214	132	as	as	ADP
ejpam-5162	214	133	39.19	39.19	NUM
ejpam-5162	214	134	.	.	PUNCT
ejpam-5162	215	1	model-3	model-3	PROPN
ejpam-5162	215	2	.	.	PROPN
ejpam-5162	216	1	for	for	ADP
ejpam-5162	216	2	modulation	modulation	NOUN
ejpam-5162	216	3	of	of	ADP
ejpam-5162	216	4	the	the	DET
ejpam-5162	216	5	stp	stp	PROPN
ejpam-5162	216	6	with	with	ADP
ejpam-5162	216	7	the	the	DET
ejpam-5162	216	8	imprecise	imprecise	ADJ
ejpam-5162	216	9	data	datum	NOUN
ejpam-5162	216	10	by	by	ADP
ejpam-5162	216	11	using	use	VERB
ejpam-5162	216	12	ld	ld	PROPN
ejpam-5162	216	13	is	be	AUX
ejpam-5162	216	14	used	use	VERB
ejpam-5162	216	15	for	for	ADP
ejpam-5162	216	16	probabilistic	probabilistic	ADJ
ejpam-5162	216	17	both	both	DET
ejpam-5162	216	18	supply	supply	NOUN
ejpam-5162	216	19	and	and	CCONJ
ejpam-5162	216	20	demand	demand	NOUN
ejpam-5162	216	21	constraints	constraint	NOUN
ejpam-5162	216	22	.	.	PUNCT
ejpam-5162	217	1	1	1	NUM
ejpam-5162	217	2	2	2	NUM
ejpam-5162	217	3	3	3	NUM
ejpam-5162	217	4	4	4	NUM
ejpam-5162	217	5	ai	ai	VERB
ejpam-5162	217	6	a	a	DET
ejpam-5162	217	7	1	1	NUM
ejpam-5162	217	8	6	6	NUM
ejpam-5162	217	9	3	3	NUM
ejpam-5162	217	10	5	5	NUM
ejpam-5162	217	11	=	=	SYM
ejpam-5162	217	12	19.52	19.52	NUM
ejpam-5162	217	13	b	b	NOUN
ejpam-5162	217	14	7	7	NUM
ejpam-5162	217	15	3	3	NUM
ejpam-5162	217	16	1	1	NUM
ejpam-5162	217	17	6	6	NUM
ejpam-5162	217	18	≥	≥	NOUN
ejpam-5162	217	19	16.85	16.85	NUM
ejpam-5162	217	20	c	c	NOUN
ejpam-5162	217	21	9	9	NUM
ejpam-5162	217	22	4	4	NUM
ejpam-5162	217	23	5	5	NUM
ejpam-5162	217	24	4	4	NUM
ejpam-5162	217	25	≤	≤	NUM
ejpam-5162	217	26	23.6	23.6	NUM
ejpam-5162	217	27	bj	bj	ADP
ejpam-5162	217	28	≥	≥	NOUN
ejpam-5162	217	29	10.15	10.15	NUM
ejpam-5162	217	30	≤	≤	NUM
ejpam-5162	217	31	10.83	10.83	NUM
ejpam-5162	217	32	≥	≥	NOUN
ejpam-5162	217	33	16.2	16.2	NUM
ejpam-5162	217	34	=	=	SYM
ejpam-5162	217	35	12.84	12.84	NUM
ejpam-5162	217	36	table	table	NOUN
ejpam-5162	217	37	5	5	NUM
ejpam-5162	217	38	:	:	PUNCT
ejpam-5162	217	39	both	both	PRON
ejpam-5162	217	40	ai	ai	VERB
ejpam-5162	217	41	and	and	CCONJ
ejpam-5162	217	42	bj	bj	VERB
ejpam-5162	217	43	are	be	AUX
ejpam-5162	217	44	uncertain	uncertain	ADJ
ejpam-5162	217	45	then	then	ADV
ejpam-5162	217	46	by	by	ADP
ejpam-5162	217	47	using	use	VERB
ejpam-5162	217	48	the	the	DET
ejpam-5162	217	49	lingo	lingo	NOUN
ejpam-5162	217	50	software	software	NOUN
ejpam-5162	217	51	,	,	PUNCT
ejpam-5162	217	52	we	we	PRON
ejpam-5162	217	53	obtain	obtain	VERB
ejpam-5162	217	54	the	the	DET
ejpam-5162	217	55	optimal	optimal	ADJ
ejpam-5162	217	56	transportation	transportation	NOUN
ejpam-5162	217	57	cost	cost	NOUN
ejpam-5162	217	58	as	as	ADP
ejpam-5162	217	59	87.08	87.08	NUM
ejpam-5162	217	60	and	and	CCONJ
ejpam-5162	217	61	x11=	x11=	PROPN
ejpam-5162	217	62	10.15	10.15	NUM
ejpam-5162	217	63	,	,	PUNCT
ejpam-5162	217	64	x14=	x14=	PROPN
ejpam-5162	217	65	9.37	9.37	NUM
ejpam-5162	217	66	,	,	PUNCT
ejpam-5162	217	67	x23=	x23=	PROPN
ejpam-5162	217	68	16.2	16.2	NUM
ejpam-5162	217	69	,	,	PUNCT
ejpam-5162	217	70	x34=3.47	x34=3.47	PROPN
ejpam-5162	217	71	and	and	CCONJ
ejpam-5162	217	72	unit	unit	NOUN
ejpam-5162	217	73	flow	flow	NOUN
ejpam-5162	217	74	as	as	ADP
ejpam-5162	217	75	39.19	39.19	NUM
ejpam-5162	217	76	.	.	PUNCT
ejpam-5162	218	1	3.3	3.3	NUM
ejpam-5162	218	2	.	.	PUNCT
ejpam-5162	218	3	result	result	NOUN
ejpam-5162	218	4	and	and	CCONJ
ejpam-5162	218	5	discussion	discussion	NOUN
ejpam-5162	218	6	with	with	ADP
ejpam-5162	218	7	comparison	comparison	NOUN
ejpam-5162	218	8	the	the	DET
ejpam-5162	218	9	ideal	ideal	ADJ
ejpam-5162	218	10	results	result	NOUN
ejpam-5162	218	11	are	be	AUX
ejpam-5162	218	12	compared	compare	VERB
ejpam-5162	218	13	to	to	ADP
ejpam-5162	218	14	different	different	ADJ
ejpam-5162	218	15	distributions	distribution	NOUN
ejpam-5162	218	16	for	for	ADP
ejpam-5162	218	17	the	the	DET
ejpam-5162	218	18	sftpmc	sftpmc	PROPN
ejpam-5162	218	19	problem	problem	NOUN
ejpam-5162	218	20	minimizes	minimize	VERB
ejpam-5162	218	21	transportation	transportation	NOUN
ejpam-5162	218	22	costs	cost	NOUN
ejpam-5162	218	23	relative	relative	ADJ
ejpam-5162	218	24	to	to	ADP
ejpam-5162	218	25	prior	prior	ADJ
ejpam-5162	218	26	techniques	technique	NOUN
ejpam-5162	218	27	.	.	PUNCT
ejpam-5162	219	1	the	the	DET
ejpam-5162	219	2	table	table	NOUN
ejpam-5162	219	3	below	below	ADV
ejpam-5162	219	4	illustrates	illustrate	VERB
ejpam-5162	219	5	the	the	DET
ejpam-5162	219	6	comparison	comparison	NOUN
ejpam-5162	219	7	of	of	ADP
ejpam-5162	219	8	findings	finding	NOUN
ejpam-5162	219	9	.	.	PUNCT
ejpam-5162	220	1	the	the	DET
ejpam-5162	220	2	table	table	NOUN
ejpam-5162	220	3	6	6	NUM
ejpam-5162	220	4	shows	show	VERB
ejpam-5162	220	5	the	the	DET
ejpam-5162	220	6	results	result	NOUN
ejpam-5162	220	7	obtained	obtain	VERB
ejpam-5162	220	8	from	from	ADP
ejpam-5162	220	9	different	different	ADJ
ejpam-5162	220	10	distribution	distribution	NOUN
ejpam-5162	220	11	functions	function	NOUN
ejpam-5162	220	12	.	.	PUNCT
ejpam-5162	221	1	it	it	PRON
ejpam-5162	221	2	justified	justify	VERB
ejpam-5162	221	3	the	the	DET
ejpam-5162	221	4	lomax	lomax	PROPN
ejpam-5162	221	5	distribution	distribution	NOUN
ejpam-5162	221	6	of	of	ADP
ejpam-5162	221	7	the	the	DET
ejpam-5162	221	8	approach	approach	NOUN
ejpam-5162	221	9	which	which	PRON
ejpam-5162	221	10	attains	attain	VERB
ejpam-5162	221	11	very	very	ADV
ejpam-5162	221	12	minimum	minimum	ADJ
ejpam-5162	221	13	when	when	SCONJ
ejpam-5162	221	14	compare	compare	VERB
ejpam-5162	221	15	with	with	ADP
ejpam-5162	221	16	other	other	ADJ
ejpam-5162	221	17	different	different	ADJ
ejpam-5162	221	18	distributions	distribution	NOUN
ejpam-5162	221	19	.	.	PUNCT
ejpam-5162	222	1	references	reference	NOUN
ejpam-5162	222	2	1240	1240	NUM
ejpam-5162	222	3	distribution	distribution	NOUN
ejpam-5162	222	4	optimization	optimization	NOUN
ejpam-5162	222	5	method	method	NOUN
ejpam-5162	222	6	model	model	NOUN
ejpam-5162	222	7	1	1	NUM
ejpam-5162	222	8	model	model	NOUN
ejpam-5162	222	9	2	2	NUM
ejpam-5162	222	10	model	model	NOUN
ejpam-5162	222	11	3	3	NUM
ejpam-5162	222	12	weibull	weibull	PROPN
ejpam-5162	222	13	optimal	optimal	ADJ
ejpam-5162	222	14	transportation	transportation	NOUN
ejpam-5162	222	15	cost	cost	VERB
ejpam-5162	222	16	93.67	93.67	NUM
ejpam-5162	222	17	95.75	95.75	NUM
ejpam-5162	222	18	96.42	96.42	NUM
ejpam-5162	222	19	normal	normal	ADJ
ejpam-5162	222	20	102.68	102.68	NUM
ejpam-5162	222	21	105.8	105.8	NUM
ejpam-5162	222	22	107.4	107.4	NUM
ejpam-5162	222	23	poisson	poisson	NOUN
ejpam-5162	222	24	98.45	98.45	NUM
ejpam-5162	222	25	100.2	100.2	NUM
ejpam-5162	222	26	99.89	99.89	NUM
ejpam-5162	222	27	lomax	lomax	PROPN
ejpam-5162	222	28	92.52	92.52	NUM
ejpam-5162	222	29	87.56	87.56	NUM
ejpam-5162	222	30	87.08	87.08	NUM
ejpam-5162	222	31	weibull	weibull	PROPN
ejpam-5162	222	32	units	unit	NOUN
ejpam-5162	222	33	flow	flow	VERB
ejpam-5162	222	34	42	42	NUM
ejpam-5162	222	35	42.84	42.84	NUM
ejpam-5162	222	36	42.84	42.84	NUM
ejpam-5162	222	37	normal	normal	ADJ
ejpam-5162	222	38	49	49	NUM
ejpam-5162	222	39	49.85	49.85	NUM
ejpam-5162	222	40	49.85	49.85	NUM
ejpam-5162	222	41	poisson	poisson	NOUN
ejpam-5162	222	42	45	45	NUM
ejpam-5162	222	43	45.6	45.6	NUM
ejpam-5162	222	44	45.6	45.6	NUM
ejpam-5162	222	45	lomax	lomax	NOUN
ejpam-5162	222	46	42	42	NUM
ejpam-5162	222	47	39.19	39.19	NUM
ejpam-5162	222	48	39.19	39.19	NUM
ejpam-5162	222	49	table	table	NOUN
ejpam-5162	222	50	6	6	NUM
ejpam-5162	222	51	:	:	PUNCT
ejpam-5162	222	52	comparing	compare	VERB
ejpam-5162	222	53	results	result	NOUN
ejpam-5162	222	54	with	with	ADP
ejpam-5162	222	55	different	different	ADJ
ejpam-5162	222	56	distributions	distribution	NOUN
ejpam-5162	222	57	4	4	NUM
ejpam-5162	222	58	.	.	PUNCT
ejpam-5162	223	1	conclusion	conclusion	NOUN
ejpam-5162	223	2	this	this	DET
ejpam-5162	223	3	article	article	NOUN
ejpam-5162	223	4	presents	present	VERB
ejpam-5162	223	5	a	a	DET
ejpam-5162	223	6	methodology	methodology	NOUN
ejpam-5162	223	7	for	for	ADP
ejpam-5162	223	8	solving	solve	VERB
ejpam-5162	223	9	an	an	DET
ejpam-5162	223	10	sftpmc	sftpmc	NOUN
ejpam-5162	223	11	that	that	PRON
ejpam-5162	223	12	has	have	AUX
ejpam-5162	223	13	probabilistic	probabilistic	ADJ
ejpam-5162	223	14	constraints	constraint	NOUN
ejpam-5162	223	15	together	together	ADV
ejpam-5162	223	16	with	with	ADP
ejpam-5162	223	17	the	the	DET
ejpam-5162	223	18	lomax	lomax	PROPN
ejpam-5162	223	19	distribution	distribution	NOUN
ejpam-5162	223	20	and	and	CCONJ
ejpam-5162	223	21	a	a	DET
ejpam-5162	223	22	fuzzy	fuzzy	ADJ
ejpam-5162	223	23	integer	integer	NOUN
ejpam-5162	223	24	for	for	ADP
ejpam-5162	223	25	the	the	DET
ejpam-5162	223	26	objective	objective	ADJ
ejpam-5162	223	27	function	function	NOUN
ejpam-5162	223	28	’s	’s	PART
ejpam-5162	223	29	cost	cost	NOUN
ejpam-5162	223	30	coefficient	coefficient	NOUN
ejpam-5162	223	31	.	.	PUNCT
ejpam-5162	224	1	alpha	alpha	PROPN
ejpam-5162	224	2	cut	cut	NOUN
ejpam-5162	224	3	representation	representation	NOUN
ejpam-5162	224	4	is	be	AUX
ejpam-5162	224	5	used	use	VERB
ejpam-5162	224	6	to	to	PART
ejpam-5162	224	7	transform	transform	VERB
ejpam-5162	224	8	the	the	DET
ejpam-5162	224	9	fuzzy	fuzzy	ADJ
ejpam-5162	224	10	objective	objective	ADJ
ejpam-5162	224	11	value	value	NOUN
ejpam-5162	224	12	into	into	ADP
ejpam-5162	224	13	a	a	DET
ejpam-5162	224	14	corresponding	correspond	VERB
ejpam-5162	224	15	consistent	consistent	ADJ
ejpam-5162	224	16	objective	objective	ADJ
ejpam-5162	224	17	function	function	NOUN
ejpam-5162	224	18	,	,	PUNCT
ejpam-5162	224	19	and	and	CCONJ
ejpam-5162	224	20	ld	ld	PROPN
ejpam-5162	224	21	is	be	AUX
ejpam-5162	224	22	used	use	VERB
ejpam-5162	224	23	to	to	PART
ejpam-5162	224	24	transform	transform	VERB
ejpam-5162	224	25	each	each	DET
ejpam-5162	224	26	stochastic	stochastic	ADJ
ejpam-5162	224	27	constraint	constraint	NOUN
ejpam-5162	224	28	into	into	ADP
ejpam-5162	224	29	an	an	DET
ejpam-5162	224	30	analogous	analogous	ADJ
ejpam-5162	224	31	deterministic	deterministic	ADJ
ejpam-5162	224	32	constraint	constraint	NOUN
ejpam-5162	224	33	.	.	PUNCT
ejpam-5162	225	1	the	the	DET
ejpam-5162	225	2	lomax	lomax	PROPN
ejpam-5162	225	3	distribution	distribution	NOUN
ejpam-5162	225	4	is	be	AUX
ejpam-5162	225	5	a	a	DET
ejpam-5162	225	6	crucial	crucial	ADJ
ejpam-5162	225	7	aspect	aspect	NOUN
ejpam-5162	225	8	of	of	ADP
ejpam-5162	225	9	stochastic	stochastic	ADJ
ejpam-5162	225	10	transportation	transportation	NOUN
ejpam-5162	225	11	modeling	modeling	NOUN
ejpam-5162	225	12	,	,	PUNCT
ejpam-5162	225	13	as	as	SCONJ
ejpam-5162	225	14	it	it	PRON
ejpam-5162	225	15	captures	capture	VERB
ejpam-5162	225	16	variability	variability	NOUN
ejpam-5162	225	17	and	and	CCONJ
ejpam-5162	225	18	uncertainty	uncertainty	NOUN
ejpam-5162	225	19	in	in	ADP
ejpam-5162	225	20	transportation	transportation	NOUN
ejpam-5162	225	21	parameters	parameter	NOUN
ejpam-5162	225	22	like	like	ADP
ejpam-5162	225	23	supply	supply	NOUN
ejpam-5162	225	24	and	and	CCONJ
ejpam-5162	225	25	demand	demand	NOUN
ejpam-5162	225	26	.	.	PUNCT
ejpam-5162	226	1	this	this	DET
ejpam-5162	226	2	paper	paper	NOUN
ejpam-5162	226	3	aim	aim	VERB
ejpam-5162	226	4	to	to	PART
ejpam-5162	226	5	represent	represent	VERB
ejpam-5162	226	6	these	these	DET
ejpam-5162	226	7	values	value	NOUN
ejpam-5162	226	8	realistically	realistically	ADV
ejpam-5162	226	9	and	and	CCONJ
ejpam-5162	226	10	incorporate	incorporate	VERB
ejpam-5162	226	11	their	their	PRON
ejpam-5162	226	12	probabilistic	probabilistic	ADJ
ejpam-5162	226	13	nature	nature	NOUN
ejpam-5162	226	14	,	,	PUNCT
ejpam-5162	226	15	resulting	result	VERB
ejpam-5162	226	16	in	in	ADP
ejpam-5162	226	17	more	more	ADV
ejpam-5162	226	18	robust	robust	ADJ
ejpam-5162	226	19	models	model	NOUN
ejpam-5162	226	20	and	and	CCONJ
ejpam-5162	226	21	more	more	ADV
ejpam-5162	226	22	comprehensive	comprehensive	ADJ
ejpam-5162	226	23	analysis	analysis	NOUN
ejpam-5162	226	24	under	under	ADP
ejpam-5162	226	25	uncertain	uncertain	ADJ
ejpam-5162	226	26	conditions.additionally	conditions.additionally	NOUN
ejpam-5162	226	27	,	,	PUNCT
ejpam-5162	226	28	three	three	NUM
ejpam-5162	226	29	sftpmc	sftpmc	ADJ
ejpam-5162	226	30	models	model	NOUN
ejpam-5162	226	31	—	—	PUNCT
ejpam-5162	226	32	models	model	NOUN
ejpam-5162	226	33	1	1	NUM
ejpam-5162	226	34	,	,	PUNCT
ejpam-5162	226	35	2	2	NUM
ejpam-5162	226	36	,	,	PUNCT
ejpam-5162	226	37	and	and	CCONJ
ejpam-5162	226	38	3	3	NUM
ejpam-5162	226	39	—	—	PUNCT
ejpam-5162	226	40	are	be	AUX
ejpam-5162	226	41	constructed	construct	VERB
ejpam-5162	226	42	,	,	PUNCT
ejpam-5162	226	43	and	and	CCONJ
ejpam-5162	226	44	lingo	lingo	NOUN
ejpam-5162	226	45	software	software	NOUN
ejpam-5162	226	46	has	have	AUX
ejpam-5162	226	47	been	be	AUX
ejpam-5162	226	48	used	use	VERB
ejpam-5162	226	49	to	to	PART
ejpam-5162	226	50	determine	determine	VERB
ejpam-5162	226	51	each	each	DET
ejpam-5162	226	52	model	model	NOUN
ejpam-5162	226	53	’s	’s	PART
ejpam-5162	226	54	ideal	ideal	PROPN
ejpam-5162	226	55	answer.a	answer.a	PROPN
ejpam-5162	226	56	numerical	numerical	PROPN
ejpam-5162	226	57	example	example	NOUN
ejpam-5162	226	58	illustrating	illustrate	VERB
ejpam-5162	226	59	the	the	DET
ejpam-5162	226	60	models	model	NOUN
ejpam-5162	226	61	’	'	PUNCT
ejpam-5162	226	62	performance	performance	NOUN
ejpam-5162	226	63	is	be	AUX
ejpam-5162	226	64	provided	provide	VERB
ejpam-5162	226	65	.	.	PUNCT
ejpam-5162	227	1	due	due	ADP
ejpam-5162	227	2	to	to	ADP
ejpam-5162	227	3	this	this	DET
ejpam-5162	227	4	issue	issue	NOUN
ejpam-5162	227	5	,	,	PUNCT
ejpam-5162	227	6	sftpmc	sftpmc	PROPN
ejpam-5162	227	7	is	be	AUX
ejpam-5162	227	8	essential	essential	ADJ
ejpam-5162	227	9	in	in	ADP
ejpam-5162	227	10	many	many	ADJ
ejpam-5162	227	11	circumstances	circumstance	NOUN
ejpam-5162	227	12	involving	involve	VERB
ejpam-5162	227	13	managerial	managerial	ADJ
ejpam-5162	227	14	decision	decision	NOUN
ejpam-5162	227	15	-	-	PUNCT
ejpam-5162	227	16	making	making	NOUN
ejpam-5162	227	17	,	,	PUNCT
ejpam-5162	227	18	such	such	ADJ
ejpam-5162	227	19	as	as	ADP
ejpam-5162	227	20	the	the	DET
ejpam-5162	227	21	planning	planning	NOUN
ejpam-5162	227	22	of	of	ADP
ejpam-5162	227	23	several	several	ADJ
ejpam-5162	227	24	intricate	intricate	ADJ
ejpam-5162	227	25	resource	resource	NOUN
ejpam-5162	227	26	allocation	allocation	NOUN
ejpam-5162	227	27	issues	issue	NOUN
ejpam-5162	227	28	in	in	ADP
ejpam-5162	227	29	the	the	DET
ejpam-5162	227	30	context	context	NOUN
ejpam-5162	227	31	of	of	ADP
ejpam-5162	227	32	industrial	industrial	ADJ
ejpam-5162	227	33	production	production	NOUN
ejpam-5162	227	34	,	,	PUNCT
ejpam-5162	227	35	where	where	SCONJ
ejpam-5162	227	36	supply	supply	NOUN
ejpam-5162	227	37	and	and	CCONJ
ejpam-5162	227	38	demand	demand	NOUN
ejpam-5162	227	39	are	be	AUX
ejpam-5162	227	40	essentially	essentially	ADV
ejpam-5162	227	41	random	random	ADJ
ejpam-5162	227	42	variables	variable	NOUN
ejpam-5162	227	43	.	.	PUNCT
ejpam-5162	228	1	this	this	DET
ejpam-5162	228	2	model	model	NOUN
ejpam-5162	228	3	will	will	AUX
ejpam-5162	228	4	function	function	VERB
ejpam-5162	228	5	as	as	ADP
ejpam-5162	228	6	an	an	DET
ejpam-5162	228	7	effective	effective	ADJ
ejpam-5162	228	8	tool	tool	NOUN
ejpam-5162	228	9	for	for	ADP
ejpam-5162	228	10	the	the	DET
ejpam-5162	228	11	best	good	ADJ
ejpam-5162	228	12	planning	planning	NOUN
ejpam-5162	228	13	in	in	ADP
ejpam-5162	228	14	such	such	ADJ
ejpam-5162	228	15	circumstances	circumstance	NOUN
ejpam-5162	228	16	.	.	PUNCT
ejpam-5162	229	1	when	when	SCONJ
ejpam-5162	229	2	compared	compare	VERB
ejpam-5162	229	3	with	with	ADP
ejpam-5162	229	4	different	different	ADJ
ejpam-5162	229	5	distributions	distribution	NOUN
ejpam-5162	229	6	,	,	PUNCT
ejpam-5162	229	7	the	the	DET
ejpam-5162	229	8	ld	ld	PROPN
ejpam-5162	229	9	optimum	optimum	ADJ
ejpam-5162	229	10	solution	solution	NOUN
ejpam-5162	229	11	is	be	AUX
ejpam-5162	229	12	superior	superior	ADJ
ejpam-5162	229	13	in	in	ADP
ejpam-5162	229	14	this	this	DET
ejpam-5162	229	15	instance	instance	NOUN
ejpam-5162	229	16	,	,	PUNCT
ejpam-5162	229	17	due	due	ADP
ejpam-5162	229	18	to	to	ADP
ejpam-5162	229	19	minimum	minimum	NOUN
ejpam-5162	229	20	.	.	PUNCT
ejpam-5162	230	1	references	reference	NOUN
ejpam-5162	230	2	[	[	X
ejpam-5162	230	3	1	1	X
ejpam-5162	230	4	]	]	PUNCT
ejpam-5162	230	5	s.	s.	PROPN
ejpam-5162	230	6	acharya	acharya	PROPN
ejpam-5162	230	7	,	,	PUNCT
ejpam-5162	230	8	n.	n.	PROPN
ejpam-5162	230	9	ranarahu	ranarahu	PROPN
ejpam-5162	230	10	,	,	PUNCT
ejpam-5162	230	11	j.	j.	PROPN
ejpam-5162	230	12	k.	k.	PROPN
ejpam-5162	230	13	dash	dash	PROPN
ejpam-5162	230	14	,	,	PUNCT
ejpam-5162	230	15	and	and	CCONJ
ejpam-5162	230	16	m.	m.	NOUN
ejpam-5162	230	17	m.	m.	PROPN
ejpam-5162	230	18	acharya	acharya	PROPN
ejpam-5162	230	19	.	.	PUNCT
ejpam-5162	231	1	computation	computation	NOUN
ejpam-5162	231	2	of	of	ADP
ejpam-5162	231	3	a	a	DET
ejpam-5162	231	4	multiobjective	multiobjective	ADJ
ejpam-5162	231	5	fuzzy	fuzzy	ADJ
ejpam-5162	231	6	stochastic	stochastic	ADJ
ejpam-5162	231	7	transportation	transportation	NOUN
ejpam-5162	231	8	problem	problem	NOUN
ejpam-5162	231	9	.	.	PUNCT
ejpam-5162	232	1	international	international	ADJ
ejpam-5162	232	2	journal	journal	NOUN
ejpam-5162	232	3	of	of	ADP
ejpam-5162	232	4	fuzzy	fuzzy	ADJ
ejpam-5162	232	5	computation	computation	NOUN
ejpam-5162	232	6	and	and	CCONJ
ejpam-5162	232	7	modelling	modelling	NOUN
ejpam-5162	232	8	,	,	PUNCT
ejpam-5162	232	9	1(2):212	1(2):212	NUM
ejpam-5162	232	10	,	,	PUNCT
ejpam-5162	232	11	2014	2014	NUM
ejpam-5162	232	12	.	.	PUNCT
ejpam-5162	233	1	[	[	X
ejpam-5162	233	2	2	2	X
ejpam-5162	233	3	]	]	PUNCT
ejpam-5162	233	4	v.	v.	CCONJ
ejpam-5162	233	5	adlakha	adlakha	PROPN
ejpam-5162	233	6	,	,	PUNCT
ejpam-5162	233	7	k.	k.	PROPN
ejpam-5162	233	8	kowalski	kowalski	PROPN
ejpam-5162	233	9	,	,	PUNCT
ejpam-5162	233	10	and	and	CCONJ
ejpam-5162	233	11	b.	b.	PROPN
ejpam-5162	233	12	lev	lev	PROPN
ejpam-5162	233	13	.	.	PUNCT
ejpam-5162	234	1	solving	solve	VERB
ejpam-5162	234	2	transportation	transportation	NOUN
ejpam-5162	234	3	problems	problem	NOUN
ejpam-5162	234	4	with	with	ADP
ejpam-5162	234	5	mixed	mixed	ADJ
ejpam-5162	234	6	constraints	constraint	NOUN
ejpam-5162	234	7	.	.	PUNCT
ejpam-5162	235	1	international	international	ADJ
ejpam-5162	235	2	journal	journal	PROPN
ejpam-5162	235	3	of	of	ADP
ejpam-5162	235	4	management	management	NOUN
ejpam-5162	235	5	science	science	NOUN
ejpam-5162	235	6	and	and	CCONJ
ejpam-5162	235	7	engineering	engineering	NOUN
ejpam-5162	235	8	management	management	NOUN
ejpam-5162	235	9	,	,	PUNCT
ejpam-5162	235	10	1(1):47–52	1(1):47–52	NUM
ejpam-5162	235	11	,	,	PUNCT
ejpam-5162	235	12	2006	2006	NUM
ejpam-5162	235	13	.	.	PUNCT
ejpam-5162	236	1	[	[	X
ejpam-5162	236	2	3	3	X
ejpam-5162	236	3	]	]	X
ejpam-5162	236	4	s.	s.	PROPN
ejpam-5162	236	5	agarwal	agarwal	PROPN
ejpam-5162	236	6	and	and	CCONJ
ejpam-5162	236	7	s.	s.	PROPN
ejpam-5162	236	8	sharma	sharma	PROPN
ejpam-5162	236	9	.	.	PUNCT
ejpam-5162	237	1	a	a	DET
ejpam-5162	237	2	shootout	shootout	NOUN
ejpam-5162	237	3	method	method	NOUN
ejpam-5162	237	4	for	for	ADP
ejpam-5162	237	5	time	time	NOUN
ejpam-5162	237	6	minimizing	minimize	VERB
ejpam-5162	237	7	transportation	transportation	NOUN
ejpam-5162	237	8	references	reference	NOUN
ejpam-5162	237	9	1241	1241	NUM
ejpam-5162	237	10	problem	problem	NOUN
ejpam-5162	237	11	with	with	ADP
ejpam-5162	237	12	mixed	mixed	ADJ
ejpam-5162	237	13	constraints	constraint	NOUN
ejpam-5162	237	14	.	.	PUNCT
ejpam-5162	238	1	merican	merican	ADJ
ejpam-5162	238	2	journal	journal	PROPN
ejpam-5162	238	3	of	of	ADP
ejpam-5162	238	4	mathematical	mathematical	ADJ
ejpam-5162	238	5	and	and	CCONJ
ejpam-5162	238	6	management	management	NOUN
ejpam-5162	238	7	sciences	science	NOUN
ejpam-5162	238	8	,	,	PUNCT
ejpam-5162	238	9	39(4):299–314	39(4):299–314	PROPN
ejpam-5162	238	10	,	,	PUNCT
ejpam-5162	238	11	2020	2020	NUM
ejpam-5162	238	12	.	.	PUNCT
ejpam-5162	239	1	[	[	X
ejpam-5162	239	2	4	4	X
ejpam-5162	239	3	]	]	X
ejpam-5162	239	4	p.	p.	NOUN
ejpam-5162	239	5	agrawal	agrawal	PROPN
ejpam-5162	239	6	,	,	PUNCT
ejpam-5162	239	7	k.	k.	PROPN
ejpam-5162	239	8	alnowibet	alnowibet	PROPN
ejpam-5162	239	9	,	,	PUNCT
ejpam-5162	239	10	t.	t.	PROPN
ejpam-5162	239	11	ganesh	ganesh	PROPN
ejpam-5162	239	12	,	,	PUNCT
ejpam-5162	239	13	a.	a.	PROPN
ejpam-5162	239	14	f	f	PROPN
ejpam-5162	239	15	alrasheedi	alrasheedi	PROPN
ejpam-5162	239	16	,	,	PUNCT
ejpam-5162	239	17	h.	h.	PROPN
ejpam-5162	239	18	ahmad	ahmad	PROPN
ejpam-5162	239	19	,	,	PUNCT
ejpam-5162	239	20	and	and	CCONJ
ejpam-5162	239	21	a.	a.	PROPN
ejpam-5162	239	22	wagdy	wagdy	PROPN
ejpam-5162	239	23	mohamed	mohamed	PROPN
ejpam-5162	239	24	.	.	PUNCT
ejpam-5162	240	1	an	an	DET
ejpam-5162	240	2	artificial	artificial	ADJ
ejpam-5162	240	3	intelligence	intelligence	NOUN
ejpam-5162	240	4	approach	approach	NOUN
ejpam-5162	240	5	for	for	ADP
ejpam-5162	240	6	solving	solve	VERB
ejpam-5162	240	7	stochastic	stochastic	ADJ
ejpam-5162	240	8	transportation	transportation	NOUN
ejpam-5162	240	9	problems	problem	NOUN
ejpam-5162	240	10	.	.	PUNCT
ejpam-5162	241	1	computers	computer	NOUN
ejpam-5162	241	2	,	,	PUNCT
ejpam-5162	241	3	materials	material	NOUN
ejpam-5162	241	4	continua	continuum	NOUN
ejpam-5162	241	5	,	,	PUNCT
ejpam-5162	241	6	70(1):817–829	70(1):817–829	NOUN
ejpam-5162	241	7	,	,	PUNCT
ejpam-5162	241	8	2022	2022	NUM
ejpam-5162	241	9	.	.	PUNCT
ejpam-5162	242	1	[	[	X
ejpam-5162	242	2	5	5	X
ejpam-5162	242	3	]	]	PUNCT
ejpam-5162	242	4	p.	p.	NOUN
ejpam-5162	242	5	agrawal	agrawal	PROPN
ejpam-5162	242	6	and	and	CCONJ
ejpam-5162	242	7	t.	t.	PROPN
ejpam-5162	242	8	ganesh	ganesh	PROPN
ejpam-5162	242	9	.	.	PUNCT
ejpam-5162	243	1	solving	solve	VERB
ejpam-5162	243	2	transportation	transportation	NOUN
ejpam-5162	243	3	problem	problem	NOUN
ejpam-5162	243	4	with	with	ADP
ejpam-5162	243	5	stochastic	stochastic	ADJ
ejpam-5162	243	6	demand	demand	NOUN
ejpam-5162	243	7	and	and	CCONJ
ejpam-5162	243	8	non	non	ADJ
ejpam-5162	243	9	-	-	ADJ
ejpam-5162	243	10	linear	linear	ADJ
ejpam-5162	243	11	multi	multi	ADJ
ejpam-5162	243	12	-	-	ADJ
ejpam-5162	243	13	choice	choice	ADJ
ejpam-5162	243	14	cost	cost	NOUN
ejpam-5162	243	15	.	.	PUNCT
ejpam-5162	244	1	research	research	NOUN
ejpam-5162	244	2	gate	gate	NOUN
ejpam-5162	244	3	,	,	PUNCT
ejpam-5162	244	4	2019	2019	NUM
ejpam-5162	244	5	.	.	PUNCT
ejpam-5162	245	1	[	[	X
ejpam-5162	245	2	6	6	NUM
ejpam-5162	245	3	]	]	PUNCT
ejpam-5162	245	4	s.	s.	PROPN
ejpam-5162	245	5	k.	k.	PROPN
ejpam-5162	245	6	behera	behera	PROPN
ejpam-5162	245	7	and	and	CCONJ
ejpam-5162	245	8	j.	j.	PROPN
ejpam-5162	245	9	r.	r.	PROPN
ejpam-5162	245	10	nayak	nayak	PROPN
ejpam-5162	245	11	.	.	PUNCT
ejpam-5162	246	1	solution	solution	NOUN
ejpam-5162	246	2	of	of	ADP
ejpam-5162	246	3	multi	multi	ADJ
ejpam-5162	246	4	-	-	ADJ
ejpam-5162	246	5	objective	objective	ADJ
ejpam-5162	246	6	mathematical	mathematical	ADJ
ejpam-5162	246	7	programming	programming	NOUN
ejpam-5162	246	8	problems	problem	NOUN
ejpam-5162	246	9	in	in	ADP
ejpam-5162	246	10	fuzzy	fuzzy	ADJ
ejpam-5162	246	11	approach	approach	NOUN
ejpam-5162	246	12	.	.	PUNCT
ejpam-5162	247	1	international	international	ADJ
ejpam-5162	247	2	journal	journal	PROPN
ejpam-5162	247	3	of	of	ADP
ejpam-5162	247	4	computer	computer	NOUN
ejpam-5162	247	5	science	science	NOUN
ejpam-5162	247	6	and	and	CCONJ
ejpam-5162	247	7	engineering	engineering	NOUN
ejpam-5162	247	8	,	,	PUNCT
ejpam-5162	247	9	3(12	3(12	NUM
ejpam-5162	247	10	)	)	PUNCT
ejpam-5162	247	11	,	,	PUNCT
ejpam-5162	247	12	2011	2011	NUM
ejpam-5162	247	13	.	.	PUNCT
ejpam-5162	248	1	[	[	X
ejpam-5162	248	2	7	7	X
ejpam-5162	248	3	]	]	PUNCT
ejpam-5162	248	4	m.	m.	PROPN
ejpam-5162	248	5	e.	e.	PROPN
ejpam-5162	248	6	b.	b.	PROPN
ejpam-5162	248	7	brigden	brigden	PROPN
ejpam-5162	248	8	.	.	PUNCT
ejpam-5162	249	1	a	a	DET
ejpam-5162	249	2	variant	variant	NOUN
ejpam-5162	249	3	of	of	ADP
ejpam-5162	249	4	the	the	DET
ejpam-5162	249	5	transportation	transportation	NOUN
ejpam-5162	249	6	problem	problem	NOUN
ejpam-5162	249	7	in	in	ADP
ejpam-5162	249	8	which	which	PRON
ejpam-5162	249	9	the	the	DET
ejpam-5162	249	10	constraints	constraint	NOUN
ejpam-5162	249	11	are	be	AUX
ejpam-5162	249	12	of	of	ADP
ejpam-5162	249	13	mixed	mixed	ADJ
ejpam-5162	249	14	type	type	NOUN
ejpam-5162	249	15	.	.	PUNCT
ejpam-5162	250	1	operational	operational	ADJ
ejpam-5162	250	2	research	research	NOUN
ejpam-5162	250	3	society	society	NOUN
ejpam-5162	250	4	,	,	PUNCT
ejpam-5162	250	5	25(3):437–445	25(3):437–445	NOUN
ejpam-5162	250	6	,	,	PUNCT
ejpam-5162	250	7	1977	1977	NUM
ejpam-5162	250	8	.	.	PUNCT
ejpam-5162	251	1	[	[	X
ejpam-5162	251	2	8	8	NUM
ejpam-5162	251	3	]	]	X
ejpam-5162	251	4	t.k	t.k	PROPN
ejpam-5162	251	5	.	.	PROPN
ejpam-5162	251	6	buvaneshwari	buvaneshwari	PROPN
ejpam-5162	251	7	and	and	CCONJ
ejpam-5162	251	8	d.	d.	PROPN
ejpam-5162	251	9	anuradha	anuradha	PROPN
ejpam-5162	251	10	.	.	PUNCT
ejpam-5162	252	1	solving	solve	VERB
ejpam-5162	252	2	stochastic	stochastic	ADJ
ejpam-5162	252	3	fuzzy	fuzzy	ADJ
ejpam-5162	252	4	transportation	transportation	NOUN
ejpam-5162	252	5	problem	problem	NOUN
ejpam-5162	252	6	with	with	ADP
ejpam-5162	252	7	mixed	mixed	ADJ
ejpam-5162	252	8	constraints	constraint	NOUN
ejpam-5162	252	9	using	use	VERB
ejpam-5162	252	10	the	the	DET
ejpam-5162	252	11	weibull	weibull	NOUN
ejpam-5162	252	12	distribution	distribution	NOUN
ejpam-5162	252	13	.	.	PUNCT
ejpam-5162	253	1	ournal	ournal	ADJ
ejpam-5162	253	2	of	of	ADP
ejpam-5162	253	3	mathematics	mathematic	NOUN
ejpam-5162	253	4	,	,	PUNCT
ejpam-5162	253	5	2022	2022	NUM
ejpam-5162	253	6	.	.	PUNCT
ejpam-5162	254	1	[	[	X
ejpam-5162	254	2	9	9	NUM
ejpam-5162	254	3	]	]	X
ejpam-5162	254	4	g.	g.	PROPN
ejpam-5162	254	5	aruna	aruna	PROPN
ejpam-5162	254	6	chalam	chalam	PROPN
ejpam-5162	254	7	.	.	PUNCT
ejpam-5162	255	1	fuzzy	fuzzy	ADJ
ejpam-5162	255	2	goal	goal	NOUN
ejpam-5162	255	3	programming	programming	NOUN
ejpam-5162	255	4	(	(	PUNCT
ejpam-5162	255	5	fgp	fgp	ADJ
ejpam-5162	255	6	)	)	PUNCT
ejpam-5162	255	7	approach	approach	NOUN
ejpam-5162	255	8	to	to	ADP
ejpam-5162	255	9	a	a	DET
ejpam-5162	255	10	stochastic	stochastic	ADJ
ejpam-5162	255	11	transportation	transportation	NOUN
ejpam-5162	255	12	problem	problem	NOUN
ejpam-5162	255	13	under	under	ADP
ejpam-5162	255	14	budgetary	budgetary	ADJ
ejpam-5162	255	15	constraint	constraint	NOUN
ejpam-5162	255	16	.	.	PUNCT
ejpam-5162	256	1	fuzzy	fuzzy	ADJ
ejpam-5162	256	2	sets	set	NOUN
ejpam-5162	256	3	and	and	CCONJ
ejpam-5162	256	4	systems	system	NOUN
ejpam-5162	256	5	,	,	PUNCT
ejpam-5162	256	6	66(3):293	66(3):293	NUM
ejpam-5162	256	7	–	–	PUNCT
ejpam-5162	256	8	299	299	NUM
ejpam-5162	256	9	,	,	PUNCT
ejpam-5162	256	10	1994	1994	NUM
ejpam-5162	256	11	.	.	PUNCT
ejpam-5162	257	1	[	[	X
ejpam-5162	257	2	10	10	NUM
ejpam-5162	257	3	]	]	PUNCT
ejpam-5162	257	4	a.	a.	NOUN
ejpam-5162	257	5	charnes	charne	NOUN
ejpam-5162	257	6	and	and	CCONJ
ejpam-5162	257	7	w.	w.	PROPN
ejpam-5162	257	8	w.	w.	PROPN
ejpam-5162	257	9	cooper	cooper	PROPN
ejpam-5162	257	10	.	.	PUNCT
ejpam-5162	257	11	chance	chance	NOUN
ejpam-5162	257	12	-	-	PUNCT
ejpam-5162	257	13	constrained	constrain	VERB
ejpam-5162	257	14	programming	programming	NOUN
ejpam-5162	257	15	.	.	PUNCT
ejpam-5162	258	1	management	management	NOUN
ejpam-5162	258	2	science	science	NOUN
ejpam-5162	258	3	,	,	PUNCT
ejpam-5162	258	4	6(1):73–79	6(1):73–79	NUM
ejpam-5162	258	5	,	,	PUNCT
ejpam-5162	258	6	1959	1959	NUM
ejpam-5162	258	7	.	.	PUNCT
ejpam-5162	259	1	[	[	X
ejpam-5162	259	2	11	11	NUM
ejpam-5162	259	3	]	]	PUNCT
ejpam-5162	259	4	a.	a.	NOUN
ejpam-5162	259	5	das	das	PROPN
ejpam-5162	259	6	,	,	PUNCT
ejpam-5162	259	7	u.	u.	PROPN
ejpam-5162	259	8	k.	k.	PROPN
ejpam-5162	259	9	bera	bera	PROPN
ejpam-5162	259	10	,	,	PUNCT
ejpam-5162	259	11	and	and	CCONJ
ejpam-5162	259	12	b.	b.	PROPN
ejpam-5162	259	13	das	das	PROPN
ejpam-5162	259	14	.	.	PUNCT
ejpam-5162	260	1	a	a	DET
ejpam-5162	260	2	solid	solid	ADJ
ejpam-5162	260	3	transportation	transportation	NOUN
ejpam-5162	260	4	problem	problem	NOUN
ejpam-5162	260	5	with	with	ADP
ejpam-5162	260	6	mixed	mixed	ADJ
ejpam-5162	260	7	constraint	constraint	NOUN
ejpam-5162	260	8	in	in	ADP
ejpam-5162	260	9	different	different	ADJ
ejpam-5162	260	10	environment	environment	NOUN
ejpam-5162	260	11	.	.	PUNCT
ejpam-5162	261	1	journal	journal	PROPN
ejpam-5162	261	2	of	of	ADP
ejpam-5162	261	3	applied	apply	VERB
ejpam-5162	261	4	analysis	analysis	NOUN
ejpam-5162	261	5	computation	computation	NOUN
ejpam-5162	261	6	,	,	PUNCT
ejpam-5162	261	7	6(1):179–195	6(1):179–195	NOUN
ejpam-5162	261	8	,	,	PUNCT
ejpam-5162	261	9	2016	2016	NUM
ejpam-5162	261	10	.	.	PUNCT
ejpam-5162	262	1	[	[	X
ejpam-5162	262	2	12	12	NUM
ejpam-5162	262	3	]	]	PUNCT
ejpam-5162	262	4	a.	a.	NOUN
ejpam-5162	262	5	das	das	PROPN
ejpam-5162	262	6	and	and	CCONJ
ejpam-5162	262	7	g.	g.	PROPN
ejpam-5162	262	8	m.	m.	PROPN
ejpam-5162	262	9	lee	lee	PROPN
ejpam-5162	262	10	.	.	PUNCT
ejpam-5162	263	1	a	a	DET
ejpam-5162	263	2	multi	multi	ADJ
ejpam-5162	263	3	-	-	ADJ
ejpam-5162	263	4	objective	objective	ADJ
ejpam-5162	263	5	stochastic	stochastic	ADJ
ejpam-5162	263	6	solid	solid	ADJ
ejpam-5162	263	7	transportation	transportation	NOUN
ejpam-5162	263	8	problem	problem	NOUN
ejpam-5162	263	9	with	with	ADP
ejpam-5162	263	10	the	the	DET
ejpam-5162	263	11	supply	supply	NOUN
ejpam-5162	263	12	,	,	PUNCT
ejpam-5162	263	13	demand	demand	NOUN
ejpam-5162	263	14	,	,	PUNCT
ejpam-5162	263	15	and	and	CCONJ
ejpam-5162	263	16	conveyance	conveyance	NOUN
ejpam-5162	263	17	capacity	capacity	NOUN
ejpam-5162	263	18	following	follow	VERB
ejpam-5162	263	19	the	the	DET
ejpam-5162	263	20	weibull	weibull	PROPN
ejpam-5162	263	21	distribution	distribution	NOUN
ejpam-5162	263	22	.	.	PUNCT
ejpam-5162	264	1	mathematics	mathematic	NOUN
ejpam-5162	264	2	,	,	PUNCT
ejpam-5162	264	3	9:1757	9:1757	NOUN
ejpam-5162	264	4	,	,	PUNCT
ejpam-5162	264	5	2021	2021	NUM
ejpam-5162	264	6	.	.	PUNCT
ejpam-5162	265	1	[	[	X
ejpam-5162	265	2	13	13	NUM
ejpam-5162	265	3	]	]	PUNCT
ejpam-5162	265	4	s.	s.	PROPN
ejpam-5162	265	5	dutta	dutta	PROPN
ejpam-5162	265	6	,	,	PUNCT
ejpam-5162	265	7	s.	s.	PROPN
ejpam-5162	265	8	acharya	acharya	PROPN
ejpam-5162	265	9	,	,	PUNCT
ejpam-5162	265	10	and	and	CCONJ
ejpam-5162	265	11	r.	r.	PROPN
ejpam-5162	265	12	mishra	mishra	PROPN
ejpam-5162	265	13	.	.	PROPN
ejpam-5162	266	1	genetic	genetic	ADJ
ejpam-5162	266	2	algorithm	algorithm	NOUN
ejpam-5162	266	3	based	base	VERB
ejpam-5162	266	4	fuzzy	fuzzy	ADJ
ejpam-5162	266	5	stochastic	stochastic	ADJ
ejpam-5162	266	6	transportation	transportation	NOUN
ejpam-5162	266	7	programming	programming	NOUN
ejpam-5162	266	8	problem	problem	NOUN
ejpam-5162	266	9	with	with	ADP
ejpam-5162	266	10	continuous	continuous	ADJ
ejpam-5162	266	11	random	random	ADJ
ejpam-5162	266	12	variables	variable	NOUN
ejpam-5162	266	13	.	.	PUNCT
ejpam-5162	267	1	operational	operational	ADJ
ejpam-5162	267	2	research	research	NOUN
ejpam-5162	267	3	,	,	PUNCT
ejpam-5162	267	4	53(4):835–872	53(4):835–872	PROPN
ejpam-5162	267	5	,	,	PUNCT
ejpam-5162	267	6	2016	2016	NUM
ejpam-5162	267	7	.	.	PUNCT
ejpam-5162	268	1	[	[	X
ejpam-5162	268	2	14	14	NUM
ejpam-5162	268	3	]	]	PUNCT
ejpam-5162	268	4	rasha	rasha	PROPN
ejpam-5162	268	5	ebaid	ebaid	PROPN
ejpam-5162	268	6	and	and	CCONJ
ejpam-5162	268	7	afaf	afaf	PROPN
ejpam-5162	268	8	el	el	NOUN
ejpam-5162	268	9	-	-	PUNCT
ejpam-5162	268	10	dash	dash	NOUN
ejpam-5162	268	11	.	.	PUNCT
ejpam-5162	269	1	probabilistic	probabilistic	ADJ
ejpam-5162	269	2	programming	programming	NOUN
ejpam-5162	269	3	technique	technique	NOUN
ejpam-5162	269	4	for	for	ADP
ejpam-5162	269	5	bivariate	bivariate	ADJ
ejpam-5162	269	6	lomax	lomax	PROPN
ejpam-5162	269	7	random	random	ADJ
ejpam-5162	269	8	parameters	parameter	NOUN
ejpam-5162	269	9	.	.	PUNCT
ejpam-5162	270	1	far	far	PROPN
ejpam-5162	270	2	east	east	PROPN
ejpam-5162	270	3	journal	journal	PROPN
ejpam-5162	270	4	of	of	ADP
ejpam-5162	270	5	mathematical	mathematical	ADJ
ejpam-5162	270	6	sciences	science	NOUN
ejpam-5162	270	7	,	,	PUNCT
ejpam-5162	270	8	130(2):151	130(2):151	NUM
ejpam-5162	270	9	–	–	PUNCT
ejpam-5162	270	10	164	164	NUM
ejpam-5162	270	11	,	,	PUNCT
ejpam-5162	270	12	2021	2021	NUM
ejpam-5162	270	13	.	.	PUNCT
ejpam-5162	271	1	[	[	X
ejpam-5162	271	2	15	15	NUM
ejpam-5162	271	3	]	]	X
ejpam-5162	271	4	j.	j.	PROPN
ejpam-5162	271	5	l.	l.	PROPN
ejpam-5162	271	6	edward	edward	PROPN
ejpam-5162	271	7	and	and	CCONJ
ejpam-5162	271	8	k.	k.	PROPN
ejpam-5162	271	9	palanivel	palanivel	PROPN
ejpam-5162	271	10	.	.	PUNCT
ejpam-5162	272	1	two	two	NUM
ejpam-5162	272	2	-	-	PUNCT
ejpam-5162	272	3	stage	stage	NOUN
ejpam-5162	272	4	transportation	transportation	NOUN
ejpam-5162	272	5	model	model	NOUN
ejpam-5162	272	6	for	for	ADP
ejpam-5162	272	7	distributing	distribute	VERB
ejpam-5162	272	8	relief	relief	NOUN
ejpam-5162	272	9	aids	aid	NOUN
ejpam-5162	272	10	to	to	ADP
ejpam-5162	272	11	the	the	DET
ejpam-5162	272	12	affected	affected	ADJ
ejpam-5162	272	13	regions	region	NOUN
ejpam-5162	272	14	in	in	ADP
ejpam-5162	272	15	an	an	DET
ejpam-5162	272	16	emergency	emergency	NOUN
ejpam-5162	272	17	response	response	NOUN
ejpam-5162	272	18	under	under	ADP
ejpam-5162	272	19	uncertainty	uncertainty	NOUN
ejpam-5162	272	20	.	.	PUNCT
ejpam-5162	273	1	intelligent	intelligent	ADJ
ejpam-5162	273	2	and	and	CCONJ
ejpam-5162	273	3	fuzzy	fuzzy	ADJ
ejpam-5162	273	4	systems	system	NOUN
ejpam-5162	273	5	,	,	PUNCT
ejpam-5162	273	6	758	758	NUM
ejpam-5162	273	7	,	,	PUNCT
ejpam-5162	273	8	2023	2023	NUM
ejpam-5162	273	9	.	.	PUNCT
ejpam-5162	274	1	references	reference	NOUN
ejpam-5162	274	2	1242	1242	NUM
ejpam-5162	274	3	[	[	X
ejpam-5162	274	4	16	16	NUM
ejpam-5162	274	5	]	]	PUNCT
ejpam-5162	274	6	a.	a.	NOUN
ejpam-5162	274	7	gessesse	gessesse	PROPN
ejpam-5162	274	8	,	,	PUNCT
ejpam-5162	274	9	r.	r.	PROPN
ejpam-5162	274	10	mishra	mishra	PROPN
ejpam-5162	274	11	,	,	PUNCT
ejpam-5162	274	12	and	and	CCONJ
ejpam-5162	274	13	m.	m.	NOUN
ejpam-5162	274	14	m.	m.	NOUN
ejpam-5162	274	15	acharya	acharya	PROPN
ejpam-5162	274	16	.	.	PUNCT
ejpam-5162	275	1	solving	solve	VERB
ejpam-5162	275	2	multi	multi	ADJ
ejpam-5162	275	3	-	-	ADJ
ejpam-5162	275	4	objective	objective	ADJ
ejpam-5162	275	5	linear	linear	ADJ
ejpam-5162	275	6	fractional	fractional	ADJ
ejpam-5162	275	7	stochastic	stochastic	ADJ
ejpam-5162	275	8	transportation	transportation	NOUN
ejpam-5162	275	9	problems	problem	NOUN
ejpam-5162	275	10	involving	involve	VERB
ejpam-5162	275	11	normal	normal	ADJ
ejpam-5162	275	12	distribution	distribution	NOUN
ejpam-5162	275	13	using	use	VERB
ejpam-5162	275	14	simulationbased	simulationbase	VERB
ejpam-5162	275	15	genetic	genetic	ADJ
ejpam-5162	275	16	algorithm	algorithm	NOUN
ejpam-5162	275	17	.	.	PUNCT
ejpam-5162	276	1	nternational	nternational	ADJ
ejpam-5162	276	2	journal	journal	NOUN
ejpam-5162	276	3	of	of	ADP
ejpam-5162	276	4	engineering	engineering	NOUN
ejpam-5162	276	5	and	and	CCONJ
ejpam-5162	276	6	advanced	advanced	ADJ
ejpam-5162	276	7	technology	technology	NOUN
ejpam-5162	276	8	,	,	PUNCT
ejpam-5162	276	9	9(2):9–17	9(2):9–17	NUM
ejpam-5162	276	10	,	,	PUNCT
ejpam-5162	276	11	2019	2019	NUM
ejpam-5162	276	12	.	.	PUNCT
ejpam-5162	277	1	[	[	X
ejpam-5162	277	2	17	17	NUM
ejpam-5162	277	3	]	]	PUNCT
ejpam-5162	277	4	a.	a.	NOUN
ejpam-5162	277	5	abebaw	abebaw	PROPN
ejpam-5162	277	6	gessesse	gessesse	PROPN
ejpam-5162	277	7	,	,	PUNCT
ejpam-5162	277	8	r.	r.	PROPN
ejpam-5162	277	9	mishra	mishra	PROPN
ejpam-5162	277	10	,	,	PUNCT
ejpam-5162	277	11	m.	m.	NOUN
ejpam-5162	277	12	m.	m.	PROPN
ejpam-5162	277	13	acharya	acharya	PROPN
ejpam-5162	277	14	,	,	PUNCT
ejpam-5162	277	15	and	and	CCONJ
ejpam-5162	277	16	k.	k.	PROPN
ejpam-5162	277	17	n.	n.	PROPN
ejpam-5162	277	18	das	das	PROPN
ejpam-5162	277	19	.	.	PUNCT
ejpam-5162	278	1	genetic	genetic	ADJ
ejpam-5162	278	2	algorithm	algorithm	NOUN
ejpam-5162	278	3	based	base	VERB
ejpam-5162	278	4	fuzzy	fuzzy	ADJ
ejpam-5162	278	5	programming	programming	NOUN
ejpam-5162	278	6	approach	approach	NOUN
ejpam-5162	278	7	for	for	ADP
ejpam-5162	278	8	multiobjective	multiobjective	ADJ
ejpam-5162	278	9	linear	linear	ADJ
ejpam-5162	278	10	fractional	fractional	ADJ
ejpam-5162	278	11	stochastic	stochastic	ADJ
ejpam-5162	278	12	transportation	transportation	NOUN
ejpam-5162	278	13	problem	problem	NOUN
ejpam-5162	278	14	involving	involve	VERB
ejpam-5162	278	15	four	four	NUM
ejpam-5162	278	16	-	-	PUNCT
ejpam-5162	278	17	parameter	parameter	NOUN
ejpam-5162	278	18	burr	burr	NOUN
ejpam-5162	278	19	distribution	distribution	NOUN
ejpam-5162	278	20	.	.	PUNCT
ejpam-5162	279	1	international	international	ADJ
ejpam-5162	279	2	journal	journal	PROPN
ejpam-5162	279	3	of	of	ADP
ejpam-5162	279	4	system	system	NOUN
ejpam-5162	279	5	assurance	assurance	NOUN
ejpam-5162	279	6	engineering	engineering	NOUN
ejpam-5162	279	7	and	and	CCONJ
ejpam-5162	279	8	management	management	NOUN
ejpam-5162	279	9	,	,	PUNCT
ejpam-5162	279	10	11(1):93–109	11(1):93–109	NUM
ejpam-5162	279	11	,	,	PUNCT
ejpam-5162	279	12	2020	2020	NUM
ejpam-5162	279	13	.	.	PUNCT
ejpam-5162	280	1	[	[	X
ejpam-5162	280	2	18	18	NUM
ejpam-5162	280	3	]	]	PUNCT
ejpam-5162	280	4	p.	p.	NOUN
ejpam-5162	280	5	k.	k.	PROPN
ejpam-5162	281	1	giri	giri	PROPN
ejpam-5162	281	2	,	,	PUNCT
ejpam-5162	281	3	m.	m.	PROPN
ejpam-5162	281	4	k.	k.	PROPN
ejpam-5162	281	5	maiti	maiti	PROPN
ejpam-5162	281	6	,	,	PUNCT
ejpam-5162	281	7	and	and	CCONJ
ejpam-5162	281	8	m.	m.	NOUN
ejpam-5162	281	9	maiti	maiti	PROPN
ejpam-5162	281	10	.	.	PUNCT
ejpam-5162	282	1	fuzzy	fuzzy	ADJ
ejpam-5162	282	2	stochastic	stochastic	ADJ
ejpam-5162	282	3	solid	solid	ADJ
ejpam-5162	282	4	transportation	transportation	NOUN
ejpam-5162	282	5	problem	problem	NOUN
ejpam-5162	282	6	using	use	VERB
ejpam-5162	282	7	fuzzy	fuzzy	ADJ
ejpam-5162	282	8	goal	goal	NOUN
ejpam-5162	282	9	programming	programming	NOUN
ejpam-5162	282	10	approach	approach	NOUN
ejpam-5162	282	11	.	.	PUNCT
ejpam-5162	283	1	computers	computer	NOUN
ejpam-5162	283	2	industrial	industrial	ADJ
ejpam-5162	283	3	engineering	engineering	NOUN
ejpam-5162	283	4	,	,	PUNCT
ejpam-5162	283	5	72:160	72:160	NUM
ejpam-5162	283	6	–	–	PUNCT
ejpam-5162	283	7	168	168	NUM
ejpam-5162	283	8	,	,	PUNCT
ejpam-5162	283	9	2014	2014	NUM
ejpam-5162	283	10	.	.	PUNCT
ejpam-5162	284	1	[	[	X
ejpam-5162	284	2	19	19	NUM
ejpam-5162	284	3	]	]	X
ejpam-5162	284	4	s.	s.	PROPN
ejpam-5162	284	5	gupta	gupta	PROPN
ejpam-5162	284	6	,	,	PUNCT
ejpam-5162	284	7	i.	i.	PROPN
ejpam-5162	284	8	ali	ali	PROPN
ejpam-5162	284	9	,	,	PUNCT
ejpam-5162	284	10	and	and	CCONJ
ejpam-5162	284	11	a.	a.	PROPN
ejpam-5162	284	12	ahmed	ahmed	PROPN
ejpam-5162	284	13	.	.	PUNCT
ejpam-5162	285	1	multi	multi	ADJ
ejpam-5162	285	2	-	-	ADJ
ejpam-5162	285	3	objective	objective	ADJ
ejpam-5162	285	4	capacitated	capacitate	VERB
ejpam-5162	285	5	transportation	transportation	NOUN
ejpam-5162	285	6	problem	problem	NOUN
ejpam-5162	285	7	with	with	ADP
ejpam-5162	285	8	mixed	mixed	ADJ
ejpam-5162	285	9	constraint	constraint	NOUN
ejpam-5162	285	10	:	:	PUNCT
ejpam-5162	285	11	a	a	DET
ejpam-5162	285	12	case	case	NOUN
ejpam-5162	285	13	study	study	NOUN
ejpam-5162	285	14	of	of	ADP
ejpam-5162	285	15	certain	certain	ADJ
ejpam-5162	285	16	and	and	CCONJ
ejpam-5162	285	17	uncertain	uncertain	ADJ
ejpam-5162	285	18	environment	environment	NOUN
ejpam-5162	285	19	.	.	PUNCT
ejpam-5162	286	1	operation	operation	NOUN
ejpam-5162	286	2	research	research	NOUN
ejpam-5162	286	3	,	,	PUNCT
ejpam-5162	286	4	55(2):447–477	55(2):447–477	PROPN
ejpam-5162	286	5	,	,	PUNCT
ejpam-5162	286	6	2018	2018	NUM
ejpam-5162	286	7	.	.	PUNCT
ejpam-5162	287	1	[	[	X
ejpam-5162	287	2	20	20	NUM
ejpam-5162	287	3	]	]	X
ejpam-5162	287	4	s.	s.	PROPN
ejpam-5162	287	5	gupta	gupta	PROPN
ejpam-5162	287	6	,	,	PUNCT
ejpam-5162	287	7	i.	i.	PROPN
ejpam-5162	287	8	ali	ali	PROPN
ejpam-5162	287	9	,	,	PUNCT
ejpam-5162	287	10	and	and	CCONJ
ejpam-5162	287	11	a.	a.	PROPN
ejpam-5162	287	12	ahmed	ahmed	PROPN
ejpam-5162	287	13	.	.	PUNCT
ejpam-5162	288	1	an	an	DET
ejpam-5162	288	2	extended	extended	ADJ
ejpam-5162	288	3	multi	multi	ADJ
ejpam-5162	288	4	-	-	ADJ
ejpam-5162	288	5	objective	objective	ADJ
ejpam-5162	288	6	capacitated	capacitate	VERB
ejpam-5162	288	7	transportation	transportation	NOUN
ejpam-5162	288	8	problem	problem	NOUN
ejpam-5162	288	9	with	with	ADP
ejpam-5162	288	10	mixed	mixed	ADJ
ejpam-5162	288	11	constraints	constraint	NOUN
ejpam-5162	288	12	in	in	ADP
ejpam-5162	288	13	fuzzy	fuzzy	ADJ
ejpam-5162	288	14	environment	environment	NOUN
ejpam-5162	288	15	.	.	PUNCT
ejpam-5162	289	1	international	international	ADJ
ejpam-5162	289	2	journal	journal	PROPN
ejpam-5162	289	3	of	of	ADP
ejpam-5162	289	4	operational	operational	ADJ
ejpam-5162	289	5	research	research	NOUN
ejpam-5162	289	6	,	,	PUNCT
ejpam-5162	289	7	37(3):345–376	37(3):345–376	NUM
ejpam-5162	289	8	,	,	PUNCT
ejpam-5162	289	9	2020	2020	NUM
ejpam-5162	289	10	.	.	PUNCT
ejpam-5162	290	1	[	[	X
ejpam-5162	290	2	21	21	NUM
ejpam-5162	290	3	]	]	X
ejpam-5162	290	4	b.	b.	PROPN
ejpam-5162	290	5	jerbi	jerbi	PROPN
ejpam-5162	290	6	.	.	PUNCT
ejpam-5162	291	1	a	a	DET
ejpam-5162	291	2	fuzzy	fuzzy	ADJ
ejpam-5162	291	3	multi	multi	ADJ
ejpam-5162	291	4	-	-	ADJ
ejpam-5162	291	5	objective	objective	ADJ
ejpam-5162	291	6	polynomial	polynomial	ADJ
ejpam-5162	291	7	time	time	NOUN
ejpam-5162	291	8	algorithm	algorithm	NOUN
ejpam-5162	291	9	to	to	PART
ejpam-5162	291	10	solve	solve	VERB
ejpam-5162	291	11	the	the	DET
ejpam-5162	291	12	stochastic	stochastic	ADJ
ejpam-5162	291	13	transportation	transportation	NOUN
ejpam-5162	291	14	formulation	formulation	NOUN
ejpam-5162	291	15	of	of	ADP
ejpam-5162	291	16	a	a	DET
ejpam-5162	291	17	hospitalbed	hospitalbe	VERB
ejpam-5162	291	18	rearrangement	rearrangement	NOUN
ejpam-5162	291	19	problem	problem	NOUN
ejpam-5162	291	20	.	.	PUNCT
ejpam-5162	292	1	journal	journal	NOUN
ejpam-5162	292	2	of	of	ADP
ejpam-5162	292	3	multicriteria	multicriteria	PROPN
ejpam-5162	292	4	decision	decision	NOUN
ejpam-5162	292	5	analysis	analysis	NOUN
ejpam-5162	292	6	,	,	PUNCT
ejpam-5162	292	7	28:34–44	28:34–44	NUM
ejpam-5162	292	8	,	,	PUNCT
ejpam-5162	292	9	2021	2021	NUM
ejpam-5162	292	10	.	.	PUNCT
ejpam-5162	293	1	[	[	X
ejpam-5162	293	2	22	22	NUM
ejpam-5162	293	3	]	]	PUNCT
ejpam-5162	293	4	k.	k.	PROPN
ejpam-5162	293	5	kalaivani	kalaivani	PROPN
ejpam-5162	293	6	and	and	CCONJ
ejpam-5162	293	7	palanivel	palanivel	PROPN
ejpam-5162	293	8	kaliyaperumal	kaliyaperumal	PROPN
ejpam-5162	293	9	.	.	PUNCT
ejpam-5162	294	1	a	a	DET
ejpam-5162	294	2	neutrosophic	neutrosophic	ADJ
ejpam-5162	294	3	approach	approach	NOUN
ejpam-5162	294	4	to	to	ADP
ejpam-5162	294	5	the	the	DET
ejpam-5162	294	6	transportation	transportation	NOUN
ejpam-5162	294	7	problem	problem	NOUN
ejpam-5162	294	8	using	use	VERB
ejpam-5162	294	9	single	single	ADJ
ejpam-5162	294	10	-	-	PUNCT
ejpam-5162	294	11	valued	value	VERB
ejpam-5162	294	12	trapezoidal	trapezoidal	ADJ
ejpam-5162	294	13	neutrosophic	neutrosophic	ADJ
ejpam-5162	294	14	numbers	number	NOUN
ejpam-5162	294	15	.	.	PUNCT
ejpam-5162	295	1	proyecciones	proyecciones	PROPN
ejpam-5162	295	2	journal	journal	PROPN
ejpam-5162	295	3	of	of	ADP
ejpam-5162	295	4	mathematics	mathematic	NOUN
ejpam-5162	295	5	,	,	PUNCT
ejpam-5162	295	6	42(2):533–547	42(2):533–547	NUM
ejpam-5162	295	7	,	,	PUNCT
ejpam-5162	295	8	2023	2023	NUM
ejpam-5162	295	9	.	.	PUNCT
ejpam-5162	296	1	[	[	X
ejpam-5162	296	2	23	23	NUM
ejpam-5162	296	3	]	]	X
ejpam-5162	296	4	parmil	parmil	PROPN
ejpam-5162	296	5	kumar	kumar	PROPN
ejpam-5162	296	6	,	,	PUNCT
ejpam-5162	296	7	kirandeep	kirandeep	NOUN
ejpam-5162	296	8	kour	kour	NOUN
ejpam-5162	296	9	,	,	PUNCT
ejpam-5162	296	10	and	and	CCONJ
ejpam-5162	296	11	jaspreet	jaspreet	PROPN
ejpam-5162	296	12	kour	kour	PROPN
ejpam-5162	296	13	.	.	PUNCT
ejpam-5162	297	1	estimation	estimation	NOUN
ejpam-5162	297	2	of	of	ADP
ejpam-5162	297	3	the	the	DET
ejpam-5162	297	4	probability	probability	NOUN
ejpam-5162	297	5	density	density	NOUN
ejpam-5162	297	6	function	function	NOUN
ejpam-5162	297	7	of	of	ADP
ejpam-5162	297	8	lomax	lomax	PROPN
ejpam-5162	297	9	distribution	distribution	NOUN
ejpam-5162	297	10	.	.	PUNCT
ejpam-5162	298	1	nternational	nternational	ADJ
ejpam-5162	298	2	journal	journal	NOUN
ejpam-5162	298	3	of	of	ADP
ejpam-5162	298	4	statistics	statistic	NOUN
ejpam-5162	298	5	and	and	CCONJ
ejpam-5162	298	6	economics	economic	NOUN
ejpam-5162	298	7	,	,	PUNCT
ejpam-5162	298	8	19(2	19(2	NUM
ejpam-5162	298	9	)	)	PUNCT
ejpam-5162	298	10	,	,	PUNCT
ejpam-5162	298	11	2018	2018	NUM
ejpam-5162	298	12	.	.	PUNCT
ejpam-5162	299	1	[	[	X
ejpam-5162	299	2	24	24	NUM
ejpam-5162	299	3	]	]	PUNCT
ejpam-5162	299	4	jubran	jubran	NOUN
ejpam-5162	299	5	abdulameer	abdulameer	NOUN
ejpam-5162	299	6	labban	labban	NOUN
ejpam-5162	299	7	.	.	PUNCT
ejpam-5162	300	1	on	on	ADP
ejpam-5162	300	2	2	2	NUM
ejpam-5162	300	3	-	-	PUNCT
ejpam-5162	300	4	parameter	parameter	NOUN
ejpam-5162	300	5	estimation	estimation	NOUN
ejpam-5162	300	6	of	of	ADP
ejpam-5162	300	7	lomax	lomax	PROPN
ejpam-5162	300	8	distribution	distribution	NOUN
ejpam-5162	300	9	.	.	PUNCT
ejpam-5162	301	1	2nd	2nd	ADJ
ejpam-5162	301	2	international	international	PROPN
ejpam-5162	301	3	science	science	NOUN
ejpam-5162	301	4	conference	conference	NOUN
ejpam-5162	301	5	,	,	PUNCT
ejpam-5162	301	6	journal	journal	NOUN
ejpam-5162	301	7	of	of	ADP
ejpam-5162	301	8	physics	physics	PROPN
ejpam-5162	301	9	:	:	PUNCT
ejpam-5162	301	10	conf	conf	PROPN
ejpam-5162	301	11	.	.	PUNCT
ejpam-5162	302	1	series	series	PROPN
ejpam-5162	302	2	,	,	PUNCT
ejpam-5162	302	3	page	page	NOUN
ejpam-5162	302	4	1294	1294	NUM
ejpam-5162	302	5	,	,	PUNCT
ejpam-5162	302	6	2019	2019	NUM
ejpam-5162	302	7	.	.	PUNCT
ejpam-5162	303	1	[	[	X
ejpam-5162	303	2	25	25	NUM
ejpam-5162	303	3	]	]	PUNCT
ejpam-5162	303	4	k.	k.	PROPN
ejpam-5162	303	5	s.	s.	PROPN
ejpam-5162	303	6	lomax	lomax	PROPN
ejpam-5162	303	7	.	.	PUNCT
ejpam-5162	304	1	business	business	NOUN
ejpam-5162	304	2	failures	failure	NOUN
ejpam-5162	304	3	:	:	PUNCT
ejpam-5162	304	4	another	another	DET
ejpam-5162	304	5	example	example	NOUN
ejpam-5162	304	6	of	of	ADP
ejpam-5162	304	7	the	the	DET
ejpam-5162	304	8	analysis	analysis	NOUN
ejpam-5162	304	9	of	of	ADP
ejpam-5162	304	10	failure	failure	NOUN
ejpam-5162	304	11	data	datum	NOUN
ejpam-5162	304	12	.	.	PUNCT
ejpam-5162	305	1	journal	journal	NOUN
ejpam-5162	305	2	of	of	ADP
ejpam-5162	305	3	the	the	DET
ejpam-5162	305	4	american	american	PROPN
ejpam-5162	305	5	statistical	statistical	PROPN
ejpam-5162	305	6	association	association	PROPN
ejpam-5162	305	7	,	,	PUNCT
ejpam-5162	305	8	49(268):847–852	49(268):847–852	NOUN
ejpam-5162	305	9	,	,	PUNCT
ejpam-5162	305	10	1954	1954	NUM
ejpam-5162	305	11	.	.	PUNCT
ejpam-5162	306	1	[	[	X
ejpam-5162	306	2	26	26	NUM
ejpam-5162	306	3	]	]	X
ejpam-5162	306	4	d.	d.	PROPN
ejpam-5162	306	5	r.	r.	PROPN
ejpam-5162	306	6	mahapatra	mahapatra	PROPN
ejpam-5162	306	7	,	,	PUNCT
ejpam-5162	306	8	s.	s.	PROPN
ejpam-5162	306	9	panda	panda	NOUN
ejpam-5162	306	10	,	,	PUNCT
ejpam-5162	306	11	and	and	CCONJ
ejpam-5162	306	12	s.	s.	PROPN
ejpam-5162	306	13	s.	s.	PROPN
ejpam-5162	306	14	sana	sana	PROPN
ejpam-5162	306	15	.	.	PUNCT
ejpam-5162	307	1	multi	multi	ADJ
ejpam-5162	307	2	-	-	ADJ
ejpam-5162	307	3	choice	choice	ADJ
ejpam-5162	307	4	and	and	CCONJ
ejpam-5162	307	5	stochastic	stochastic	ADJ
ejpam-5162	307	6	programming	programming	NOUN
ejpam-5162	307	7	for	for	ADP
ejpam-5162	307	8	transportation	transportation	NOUN
ejpam-5162	307	9	problem	problem	NOUN
ejpam-5162	307	10	involved	involve	VERB
ejpam-5162	307	11	in	in	ADP
ejpam-5162	307	12	supply	supply	NOUN
ejpam-5162	307	13	of	of	ADP
ejpam-5162	307	14	foods	food	NOUN
ejpam-5162	307	15	and	and	CCONJ
ejpam-5162	307	16	medicines	medicine	NOUN
ejpam-5162	307	17	to	to	ADP
ejpam-5162	307	18	hospitals	hospital	NOUN
ejpam-5162	307	19	with	with	ADP
ejpam-5162	307	20	consideration	consideration	NOUN
ejpam-5162	307	21	of	of	ADP
ejpam-5162	307	22	logistic	logistic	ADJ
ejpam-5162	307	23	distribution	distribution	NOUN
ejpam-5162	307	24	.	.	PUNCT
ejpam-5162	308	1	bairo	bairo	PROPN
ejpam-5162	308	2	operational	operational	ADJ
ejpam-5162	308	3	research	research	NOUN
ejpam-5162	308	4	,	,	PUNCT
ejpam-5162	308	5	54(4	54(4	NUM
ejpam-5162	308	6	)	)	PUNCT
ejpam-5162	308	7	,	,	PUNCT
ejpam-5162	308	8	2020	2020	NUM
ejpam-5162	308	9	.	.	PUNCT
ejpam-5162	309	1	[	[	X
ejpam-5162	309	2	27	27	NUM
ejpam-5162	309	3	]	]	X
ejpam-5162	309	4	g.	g.	NOUN
ejpam-5162	309	5	maity	maity	PROPN
ejpam-5162	309	6	,	,	PUNCT
ejpam-5162	309	7	v.	v.	PROPN
ejpam-5162	309	8	f.	f.	PROPN
ejpam-5162	309	9	yu	yu	PROPN
ejpam-5162	309	10	,	,	PUNCT
ejpam-5162	309	11	and	and	CCONJ
ejpam-5162	309	12	s.	s.	PROPN
ejpam-5162	309	13	k.	k.	PROPN
ejpam-5162	309	14	roy	roy	PROPN
ejpam-5162	309	15	.	.	PROPN
ejpam-5162	309	16	optimum	optimum	ADJ
ejpam-5162	309	17	intervention	intervention	NOUN
ejpam-5162	309	18	in	in	ADP
ejpam-5162	309	19	transportation	transportation	NOUN
ejpam-5162	309	20	networks	network	NOUN
ejpam-5162	309	21	using	use	VERB
ejpam-5162	309	22	multimodal	multimodal	NOUN
ejpam-5162	309	23	system	system	NOUN
ejpam-5162	309	24	under	under	ADP
ejpam-5162	309	25	fuzzy	fuzzy	ADJ
ejpam-5162	309	26	stochastic	stochastic	ADJ
ejpam-5162	309	27	environment	environment	NOUN
ejpam-5162	309	28	.	.	PUNCT
ejpam-5162	310	1	ounal	ounal	NOUN
ejpam-5162	310	2	of	of	ADP
ejpam-5162	310	3	advanced	advanced	ADJ
ejpam-5162	310	4	transportation	transportation	NOUN
ejpam-5162	310	5	,	,	PUNCT
ejpam-5162	310	6	2022	2022	NUM
ejpam-5162	310	7	.	.	PUNCT
ejpam-5162	311	1	references	reference	NOUN
ejpam-5162	311	2	1243	1243	NUM
ejpam-5162	312	1	[	[	X
ejpam-5162	312	2	28	28	NUM
ejpam-5162	312	3	]	]	X
ejpam-5162	312	4	s.	s.	PROPN
ejpam-5162	312	5	h.	h.	PROPN
ejpam-5162	312	6	nasseri	nasseri	PROPN
ejpam-5162	312	7	and	and	CCONJ
ejpam-5162	312	8	s.	s.	PROPN
ejpam-5162	312	9	bavandi	bavandi	PROPN
ejpam-5162	312	10	.	.	PUNCT
ejpam-5162	313	1	solving	solve	VERB
ejpam-5162	313	2	multi	multi	ADJ
ejpam-5162	313	3	-	-	ADJ
ejpam-5162	313	4	objective	objective	ADJ
ejpam-5162	313	5	multi	multi	ADJ
ejpam-5162	313	6	-	-	ADJ
ejpam-5162	313	7	choice	choice	ADJ
ejpam-5162	313	8	stochastic	stochastic	ADJ
ejpam-5162	313	9	transportation	transportation	NOUN
ejpam-5162	313	10	problem	problem	NOUN
ejpam-5162	313	11	with	with	ADP
ejpam-5162	313	12	fuzzy	fuzzy	ADJ
ejpam-5162	313	13	programming	programming	NOUN
ejpam-5162	313	14	approach	approach	NOUN
ejpam-5162	313	15	.	.	PUNCT
ejpam-5162	314	1	8th	8th	ADJ
ejpam-5162	314	2	iranian	iranian	ADJ
ejpam-5162	314	3	joint	joint	ADJ
ejpam-5162	314	4	congress	congress	PROPN
ejpam-5162	314	5	on	on	ADP
ejpam-5162	314	6	fuzzy	fuzzy	ADJ
ejpam-5162	314	7	and	and	CCONJ
ejpam-5162	314	8	intelligent	intelligent	ADJ
ejpam-5162	314	9	systems	system	NOUN
ejpam-5162	314	10	(	(	PUNCT
ejpam-5162	314	11	cfis	cfis	PROPN
ejpam-5162	314	12	)	)	PUNCT
ejpam-5162	314	13	,	,	PUNCT
ejpam-5162	314	14	2020	2020	NUM
ejpam-5162	314	15	.	.	PUNCT
ejpam-5162	315	1	[	[	X
ejpam-5162	315	2	29	29	NUM
ejpam-5162	315	3	]	]	PUNCT
ejpam-5162	315	4	k.	k.	PROPN
ejpam-5162	315	5	palanivel	palanivel	PROPN
ejpam-5162	315	6	.	.	PUNCT
ejpam-5162	316	1	fuzzy	fuzzy	ADJ
ejpam-5162	316	2	commercial	commercial	ADJ
ejpam-5162	316	3	traveler	traveler	NOUN
ejpam-5162	316	4	problem	problem	NOUN
ejpam-5162	316	5	of	of	ADP
ejpam-5162	316	6	trapezoidal	trapezoidal	ADJ
ejpam-5162	316	7	membership	membership	NOUN
ejpam-5162	316	8	functions	function	NOUN
ejpam-5162	316	9	within	within	ADP
ejpam-5162	316	10	the	the	DET
ejpam-5162	316	11	sort	sort	NOUN
ejpam-5162	316	12	of	of	ADP
ejpam-5162	316	13	optimum	optimum	ADJ
ejpam-5162	316	14	solution	solution	NOUN
ejpam-5162	316	15	using	use	VERB
ejpam-5162	316	16	ranking	rank	VERB
ejpam-5162	316	17	technique	technique	NOUN
ejpam-5162	316	18	.	.	PUNCT
ejpam-5162	317	1	afrika	afrika	ADJ
ejpam-5162	317	2	matematika	matematika	PROPN
ejpam-5162	317	3	,	,	PUNCT
ejpam-5162	317	4	27(1	27(1	NUM
ejpam-5162	317	5	-	-	PUNCT
ejpam-5162	317	6	2):263	2):263	NUM
ejpam-5162	317	7	,	,	PUNCT
ejpam-5162	317	8	2016	2016	NUM
ejpam-5162	317	9	.	.	PUNCT
ejpam-5162	318	1	[	[	X
ejpam-5162	318	2	30	30	NUM
ejpam-5162	318	3	]	]	X
ejpam-5162	318	4	h.	h.	PROPN
ejpam-5162	318	5	al	al	PROPN
ejpam-5162	318	6	qahtani	qahtani	PROPN
ejpam-5162	318	7	,	,	PUNCT
ejpam-5162	318	8	a.	a.	PROPN
ejpam-5162	318	9	el	el	PROPN
ejpam-5162	318	10	-	-	PUNCT
ejpam-5162	318	11	hefnawy	hefnawy	PROPN
ejpam-5162	318	12	,	,	PUNCT
ejpam-5162	318	13	m.	m.	NOUN
ejpam-5162	318	14	m.	m.	PROPN
ejpam-5162	318	15	el	el	PROPN
ejpam-5162	318	16	-	-	PROPN
ejpam-5162	318	17	ashram	ashram	PROPN
ejpam-5162	318	18	,	,	PUNCT
ejpam-5162	318	19	and	and	CCONJ
ejpam-5162	318	20	a.	a.	NOUN
ejpam-5162	318	21	fayomi	fayomi	NOUN
ejpam-5162	318	22	.	.	PUNCT
ejpam-5162	319	1	a	a	DET
ejpam-5162	319	2	goal	goal	NOUN
ejpam-5162	319	3	programming	programming	NOUN
ejpam-5162	319	4	approach	approach	NOUN
ejpam-5162	319	5	to	to	ADP
ejpam-5162	319	6	multichoice	multichoice	VERB
ejpam-5162	319	7	multiobjective	multiobjective	ADJ
ejpam-5162	319	8	stochastic	stochastic	ADJ
ejpam-5162	319	9	transportation	transportation	NOUN
ejpam-5162	319	10	problems	problem	NOUN
ejpam-5162	319	11	with	with	ADP
ejpam-5162	319	12	extreme	extreme	ADJ
ejpam-5162	319	13	value	value	NOUN
ejpam-5162	319	14	distribution	distribution	NOUN
ejpam-5162	319	15	.	.	PUNCT
ejpam-5162	320	1	advances	advance	NOUN
ejpam-5162	320	2	in	in	ADP
ejpam-5162	320	3	operations	operation	NOUN
ejpam-5162	320	4	research	research	NOUN
ejpam-5162	320	5	,	,	PUNCT
ejpam-5162	320	6	2019	2019	NUM
ejpam-5162	320	7	.	.	PUNCT
ejpam-5162	321	1	[	[	X
ejpam-5162	321	2	31	31	NUM
ejpam-5162	321	3	]	]	PUNCT
ejpam-5162	321	4	f.	f.	PROPN
ejpam-5162	321	5	rashid	rashid	PROPN
ejpam-5162	321	6	,	,	PUNCT
ejpam-5162	321	7	a.	a.	PROPN
ejpam-5162	321	8	r.	r.	PROPN
ejpam-5162	321	9	khan	khan	PROPN
ejpam-5162	321	10	,	,	PUNCT
ejpam-5162	321	11	and	and	CCONJ
ejpam-5162	321	12	s.	s.	PROPN
ejpam-5162	321	13	uddin	uddin	PROPN
ejpam-5162	321	14	.	.	PUNCT
ejpam-5162	322	1	mixed	mixed	ADJ
ejpam-5162	322	2	constraints	constraint	NOUN
ejpam-5162	322	3	cost	cost	NOUN
ejpam-5162	322	4	minimization	minimization	NOUN
ejpam-5162	322	5	transportation	transportation	NOUN
ejpam-5162	322	6	problem	problem	NOUN
ejpam-5162	322	7	an	an	DET
ejpam-5162	322	8	effective	effective	ADJ
ejpam-5162	322	9	algorithmic	algorithmic	ADJ
ejpam-5162	322	10	approach	approach	NOUN
ejpam-5162	322	11	.	.	PUNCT
ejpam-5162	323	1	american	american	PROPN
ejpam-5162	323	2	journal	journal	PROPN
ejpam-5162	323	3	of	of	ADP
ejpam-5162	323	4	operations	operation	NOUN
ejpam-5162	323	5	research	research	NOUN
ejpam-5162	323	6	,	,	PUNCT
ejpam-5162	323	7	11(1	11(1	NUM
ejpam-5162	323	8	)	)	PUNCT
ejpam-5162	323	9	,	,	PUNCT
ejpam-5162	323	10	2021	2021	NUM
ejpam-5162	323	11	.	.	PUNCT
ejpam-5162	324	1	[	[	X
ejpam-5162	324	2	32	32	NUM
ejpam-5162	324	3	]	]	X
ejpam-5162	324	4	v.	v.	CCONJ
ejpam-5162	324	5	vidhya	vidhya	PROPN
ejpam-5162	324	6	,	,	PUNCT
ejpam-5162	324	7	p.	p.	PROPN
ejpam-5162	324	8	uma	uma	PROPN
ejpam-5162	324	9	maheswari	maheswari	PROPN
ejpam-5162	324	10	,	,	PUNCT
ejpam-5162	324	11	and	and	CCONJ
ejpam-5162	324	12	k.	k.	PROPN
ejpam-5162	324	13	ganesan	ganesan	PROPN
ejpam-5162	324	14	.	.	PUNCT
ejpam-5162	325	1	an	an	DET
ejpam-5162	325	2	alternate	alternate	ADJ
ejpam-5162	325	3	method	method	NOUN
ejpam-5162	325	4	for	for	ADP
ejpam-5162	325	5	finding	find	VERB
ejpam-5162	325	6	more	more	ADJ
ejpam-5162	325	7	for	for	ADP
ejpam-5162	325	8	less	less	ADJ
ejpam-5162	325	9	solution	solution	NOUN
ejpam-5162	325	10	to	to	ADP
ejpam-5162	325	11	fuzzy	fuzzy	ADJ
ejpam-5162	325	12	transportation	transportation	NOUN
ejpam-5162	325	13	problem	problem	NOUN
ejpam-5162	325	14	with	with	ADP
ejpam-5162	325	15	mixed	mixed	ADJ
ejpam-5162	325	16	constraints	constraint	NOUN
ejpam-5162	325	17	.	.	PUNCT
ejpam-5162	326	1	soft	soft	ADJ
ejpam-5162	326	2	computing	computing	NOUN
ejpam-5162	326	3	,	,	PUNCT
ejpam-5162	326	4	25(18	25(18	PROPN
ejpam-5162	326	5	)	)	PUNCT
ejpam-5162	326	6	,	,	PUNCT
ejpam-5162	326	7	2021	2021	NUM
ejpam-5162	326	8	.	.	PUNCT
ejpam-5162	327	1	[	[	X
ejpam-5162	327	2	33	33	NUM
ejpam-5162	327	3	]	]	PUNCT
ejpam-5162	327	4	l.	l.	PROPN
ejpam-5162	327	5	a.	a.	PROPN
ejpam-5162	327	6	zadeh	zadeh	PROPN
ejpam-5162	327	7	.	.	PUNCT
ejpam-5162	327	8	fuzzy	fuzzy	ADJ
ejpam-5162	327	9	sets	set	NOUN
ejpam-5162	327	10	.	.	PUNCT
ejpam-5162	328	1	information	information	NOUN
ejpam-5162	328	2	and	and	CCONJ
ejpam-5162	328	3	control	control	NOUN
ejpam-5162	328	4	,	,	PUNCT
ejpam-5162	328	5	8(3):338–353	8(3):338–353	NUM
ejpam-5162	328	6	,	,	PUNCT
ejpam-5162	328	7	1965	1965	NUM
ejpam-5162	328	8	.	.	PUNCT