id	sid	tid	token	lemma	pos
cana-1623	1	1	communications	communication	NOUN
cana-1623	1	2	on	on	ADP
cana-1623	1	3	applied	apply	VERB
cana-1623	1	4	nonlinear	nonlinear	ADJ
cana-1623	1	5	analysis	analysis	NOUN
cana-1623	1	6	issn	issn	NOUN
cana-1623	1	7	:	:	PUNCT
cana-1623	1	8	1074	1074	NUM
cana-1623	1	9	-	-	PUNCT
cana-1623	1	10	133x	133x	NUM
cana-1623	1	11	vol	vol	NOUN
cana-1623	1	12	32	32	NUM
cana-1623	1	13	no	no	NOUN
cana-1623	1	14	.	.	NOUN
cana-1623	1	15	1	1	NUM
cana-1623	1	16	(	(	PUNCT
cana-1623	1	17	2025	2025	NUM
cana-1623	1	18	)	)	PUNCT
cana-1623	1	19	90	90	NUM
cana-1623	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	1	21	application	application	NOUN
cana-1623	1	22	of	of	ADP
cana-1623	1	23	the	the	DET
cana-1623	1	24	inverse	inverse	ADJ
cana-1623	1	25	weibull	weibull	NOUN
cana-1623	1	26	distribution	distribution	NOUN
cana-1623	1	27	to	to	ADP
cana-1623	1	28	agricultural	agricultural	ADJ
cana-1623	1	29	data	datum	NOUN
cana-1623	1	30	based	base	VERB
cana-1623	1	31	on	on	ADP
cana-1623	1	32	intuitionistic	intuitionistic	ADJ
cana-1623	1	33	fuzzy	fuzzy	ADJ
cana-1623	1	34	sets	set	NOUN
cana-1623	1	35	s.	s.	PROPN
cana-1623	1	36	sujatha1	sujatha1	PROPN
cana-1623	1	37	*	*	PROPN
cana-1623	1	38	,	,	PUNCT
cana-1623	1	39	a.	a.	PROPN
cana-1623	1	40	dinesh	dinesh	PROPN
cana-1623	1	41	kumar2	kumar2	PROPN
cana-1623	1	42	,	,	PUNCT
cana-1623	1	43	r.	r.	PROPN
cana-1623	1	44	sivaraman3	sivaraman3	PROPN
cana-1623	1	45	&	&	CCONJ
cana-1623	1	46	m.	m.	PROPN
cana-1623	1	47	vasuki4	vasuki4	PROPN
cana-1623	2	1	1	1	NUM
cana-1623	2	2	*	*	NOUN
cana-1623	2	3	research	research	NOUN
cana-1623	2	4	scholar	scholar	NOUN
cana-1623	2	5	,	,	PUNCT
cana-1623	2	6	department	department	NOUN
cana-1623	2	7	of	of	ADP
cana-1623	2	8	mathematics	mathematic	NOUN
cana-1623	2	9	,	,	PUNCT
cana-1623	2	10	khadir	khadir	PROPN
cana-1623	2	11	mohideen	mohideen	PROPN
cana-1623	2	12	college	college	PROPN
cana-1623	2	13	(	(	PUNCT
cana-1623	2	14	affiliated	affiliate	VERB
cana-1623	2	15	to	to	PART
cana-1623	2	16	bharathidasan	bharathidasan	VERB
cana-1623	2	17	university	university	NOUN
cana-1623	2	18	)	)	PUNCT
cana-1623	2	19	,	,	PUNCT
cana-1623	2	20	adhirampattinam	adhirampattinam	PROPN
cana-1623	2	21	,	,	PUNCT
cana-1623	2	22	tamil	tamil	PROPN
cana-1623	2	23	nadu	nadu	PROPN
cana-1623	2	24	,	,	PUNCT
cana-1623	2	25	india	india	PROPN
cana-1623	2	26	.	.	PUNCT
cana-1623	2	27	email	email	NOUN
cana-1623	2	28	:	:	PUNCT
cana-1623	2	29	suja01rakshi@gmail.com	suja01rakshi@gmail.com	NUM
cana-1623	2	30	2	2	NUM
cana-1623	2	31	assistant	assistant	NOUN
cana-1623	2	32	professor	professor	NOUN
cana-1623	2	33	,	,	PUNCT
cana-1623	2	34	department	department	NOUN
cana-1623	2	35	of	of	ADP
cana-1623	2	36	mathematics	mathematic	NOUN
cana-1623	2	37	,	,	PUNCT
cana-1623	2	38	khadir	khadir	PROPN
cana-1623	2	39	mohideen	mohideen	PROPN
cana-1623	2	40	college	college	PROPN
cana-1623	2	41	(	(	PUNCT
cana-1623	2	42	affiliated	affiliate	VERB
cana-1623	2	43	to	to	PART
cana-1623	2	44	bharathidasan	bharathidasan	VERB
cana-1623	2	45	university	university	NOUN
cana-1623	2	46	)	)	PUNCT
cana-1623	2	47	,	,	PUNCT
cana-1623	2	48	adhirampattinam	adhirampattinam	PROPN
cana-1623	2	49	,	,	PUNCT
cana-1623	2	50	tamil	tamil	PROPN
cana-1623	2	51	nadu	nadu	PROPN
cana-1623	2	52	,	,	PUNCT
cana-1623	2	53	india	india	PROPN
cana-1623	2	54	.	.	PUNCT
cana-1623	2	55	email	email	NOUN
cana-1623	2	56	:	:	PUNCT
cana-1623	3	1	dradineshkumar@gmail.com	dradineshkumar@gmail.com	PROPN
cana-1623	3	2	3	3	NUM
cana-1623	3	3	associate	associate	NOUN
cana-1623	3	4	professor	professor	NOUN
cana-1623	3	5	,	,	PUNCT
cana-1623	3	6	department	department	NOUN
cana-1623	3	7	of	of	ADP
cana-1623	3	8	mathematics	mathematic	NOUN
cana-1623	3	9	,	,	PUNCT
cana-1623	3	10	dwaraka	dwaraka	PROPN
cana-1623	3	11	doss	doss	PROPN
cana-1623	3	12	goverdhan	goverdhan	PROPN
cana-1623	3	13	doss	doss	PROPN
cana-1623	3	14	vaishnav	vaishnav	PROPN
cana-1623	3	15	college	college	PROPN
cana-1623	3	16	,	,	PUNCT
cana-1623	3	17	chennai	chennai	PROPN
cana-1623	3	18	,	,	PUNCT
cana-1623	3	19	tamil	tamil	PROPN
cana-1623	3	20	nadu	nadu	PROPN
cana-1623	3	21	,	,	PUNCT
cana-1623	3	22	india	india	PROPN
cana-1623	3	23	.	.	PUNCT
cana-1623	3	24	email	email	NOUN
cana-1623	3	25	:	:	PUNCT
cana-1623	3	26	rsivaraman1729@yahoo.co.in	rsivaraman1729@yahoo.co.in	PROPN
cana-1623	3	27	4	4	NUM
cana-1623	3	28	assistant	assistant	NOUN
cana-1623	3	29	professor	professor	NOUN
cana-1623	3	30	,	,	PUNCT
cana-1623	3	31	department	department	NOUN
cana-1623	3	32	of	of	ADP
cana-1623	3	33	mathematics	mathematics	PROPN
cana-1623	3	34	,	,	PUNCT
cana-1623	3	35	srinivasan	srinivasan	PROPN
cana-1623	3	36	college	college	PROPN
cana-1623	3	37	of	of	ADP
cana-1623	3	38	arts	art	NOUN
cana-1623	3	39	and	and	CCONJ
cana-1623	3	40	science	science	NOUN
cana-1623	3	41	(	(	PUNCT
cana-1623	3	42	affiliated	affiliate	VERB
cana-1623	3	43	to	to	PART
cana-1623	3	44	bharathidasan	bharathidasan	VERB
cana-1623	3	45	university	university	NOUN
cana-1623	3	46	)	)	PUNCT
cana-1623	3	47	,	,	PUNCT
cana-1623	3	48	perambalur	perambalur	VERB
cana-1623	3	49	,	,	PUNCT
cana-1623	3	50	tamil	tamil	PROPN
cana-1623	3	51	nadu	nadu	PROPN
cana-1623	3	52	,	,	PUNCT
cana-1623	3	53	india	india	PROPN
cana-1623	3	54	.	.	PUNCT
cana-1623	3	55	email	email	NOUN
cana-1623	3	56	:	:	PUNCT
cana-1623	4	1	vasuki.scas@gmail.com	vasuki.scas@gmail.com	X
cana-1623	4	2	*	*	PUNCT
cana-1623	4	3	corresponding	correspond	VERB
cana-1623	4	4	author	author	NOUN
cana-1623	4	5	:	:	PUNCT
cana-1623	4	6	suja01rakshi@gmail.com	suja01rakshi@gmail.com	NUM
cana-1623	4	7	article	article	NOUN
cana-1623	4	8	history	history	NOUN
cana-1623	4	9	:	:	PUNCT
cana-1623	4	10	received	receive	VERB
cana-1623	4	11	:	:	PUNCT
cana-1623	4	12	08	08	NUM
cana-1623	4	13	-	-	SYM
cana-1623	4	14	07	07	NUM
cana-1623	4	15	-	-	PUNCT
cana-1623	4	16	2024	2024	NUM
cana-1623	4	17	revised	revise	VERB
cana-1623	4	18	:	:	PUNCT
cana-1623	4	19	21	21	NUM
cana-1623	4	20	-	-	SYM
cana-1623	4	21	08	08	NUM
cana-1623	4	22	-	-	PUNCT
cana-1623	4	23	2024	2024	NUM
cana-1623	4	24	accepted	accept	VERB
cana-1623	4	25	:	:	PUNCT
cana-1623	4	26	04	04	NUM
cana-1623	4	27	-	-	PUNCT
cana-1623	4	28	09	09	NUM
cana-1623	4	29	-	-	PUNCT
cana-1623	4	30	2024	2024	NUM
cana-1623	4	31	abstract	abstract	NOUN
cana-1623	4	32	:	:	PUNCT
cana-1623	4	33	the	the	DET
cana-1623	4	34	inverse	inverse	ADJ
cana-1623	4	35	weibull	weibull	NOUN
cana-1623	4	36	distribution	distribution	NOUN
cana-1623	4	37	(	(	PUNCT
cana-1623	4	38	iwd	iwd	PROPN
cana-1623	4	39	)	)	PUNCT
cana-1623	4	40	is	be	AUX
cana-1623	4	41	a	a	DET
cana-1623	4	42	frequently	frequently	ADV
cana-1623	4	43	used	use	VERB
cana-1623	4	44	model	model	NOUN
cana-1623	4	45	in	in	ADP
cana-1623	4	46	dependability	dependability	NOUN
cana-1623	4	47	analysis	analysis	NOUN
cana-1623	4	48	that	that	PRON
cana-1623	4	49	finds	find	VERB
cana-1623	4	50	widespread	widespread	ADJ
cana-1623	4	51	use	use	NOUN
cana-1623	4	52	in	in	ADP
cana-1623	4	53	a	a	DET
cana-1623	4	54	variety	variety	NOUN
cana-1623	4	55	of	of	ADP
cana-1623	4	56	scientific	scientific	ADJ
cana-1623	4	57	domains	domain	NOUN
cana-1623	4	58	.	.	PUNCT
cana-1623	5	1	this	this	DET
cana-1623	5	2	work	work	NOUN
cana-1623	5	3	examines	examine	VERB
cana-1623	5	4	the	the	DET
cana-1623	5	5	intuitionistic	intuitionistic	ADJ
cana-1623	5	6	fuzzy	fuzzy	ADJ
cana-1623	5	7	lifespan	lifespan	NOUN
cana-1623	5	8	data	data	NOUN
cana-1623	5	9	-	-	PUNCT
cana-1623	5	10	based	base	VERB
cana-1623	5	11	dependability	dependability	NOUN
cana-1623	5	12	estimation	estimation	NOUN
cana-1623	5	13	of	of	ADP
cana-1623	5	14	the	the	DET
cana-1623	5	15	iwd	iwd	PROPN
cana-1623	5	16	.	.	PROPN
cana-1623	6	1	prior	prior	ADV
cana-1623	6	2	to	to	ADP
cana-1623	6	3	deriving	derive	VERB
cana-1623	6	4	the	the	DET
cana-1623	6	5	ideas	idea	NOUN
cana-1623	6	6	of	of	ADP
cana-1623	6	7	intuitionistic	intuitionistic	ADJ
cana-1623	6	8	fuzzy	fuzzy	ADJ
cana-1623	6	9	conditional	conditional	ADJ
cana-1623	6	10	expectation	expectation	NOUN
cana-1623	6	11	,	,	PUNCT
cana-1623	6	12	intuitionistic	intuitionistic	ADJ
cana-1623	6	13	fuzzy	fuzzy	ADJ
cana-1623	6	14	probability	probability	NOUN
cana-1623	6	15	function	function	NOUN
cana-1623	6	16	,	,	PUNCT
cana-1623	6	17	and	and	CCONJ
cana-1623	6	18	intuitionistic	intuitionistic	ADJ
cana-1623	6	19	fuzzy	fuzzy	ADJ
cana-1623	6	20	conditional	conditional	ADJ
cana-1623	6	21	density	density	NOUN
cana-1623	6	22	,	,	PUNCT
cana-1623	6	23	the	the	DET
cana-1623	6	24	associated	associate	VERB
cana-1623	6	25	concepts	concept	NOUN
cana-1623	6	26	of	of	ADP
cana-1623	6	27	fuzzy	fuzzy	ADJ
cana-1623	6	28	set	set	NOUN
cana-1623	6	29	theory	theory	NOUN
cana-1623	6	30	are	be	AUX
cana-1623	6	31	examined	examine	VERB
cana-1623	6	32	.	.	PUNCT
cana-1623	7	1	in	in	ADP
cana-1623	7	2	conventional	conventional	ADJ
cana-1623	7	3	estimations	estimation	NOUN
cana-1623	7	4	,	,	PUNCT
cana-1623	7	5	the	the	DET
cana-1623	7	6	maximum	maximum	ADJ
cana-1623	7	7	likelihood	likelihood	NOUN
cana-1623	7	8	estimators	estimator	NOUN
cana-1623	7	9	for	for	ADP
cana-1623	7	10	reliability	reliability	NOUN
cana-1623	7	11	and	and	CCONJ
cana-1623	7	12	parameters	parameter	NOUN
cana-1623	7	13	are	be	AUX
cana-1623	7	14	obtained	obtain	VERB
cana-1623	7	15	.	.	PUNCT
cana-1623	8	1	the	the	DET
cana-1623	8	2	maximum	maximum	ADJ
cana-1623	8	3	likelihood	likelihood	NOUN
cana-1623	8	4	estimates	estimate	NOUN
cana-1623	8	5	are	be	AUX
cana-1623	8	6	obtained	obtain	VERB
cana-1623	8	7	using	use	VERB
cana-1623	8	8	the	the	DET
cana-1623	8	9	em	em	PROPN
cana-1623	8	10	algorithm	algorithm	NOUN
cana-1623	8	11	because	because	SCONJ
cana-1623	8	12	of	of	ADP
cana-1623	8	13	the	the	DET
cana-1623	8	14	nonlinearity	nonlinearity	NOUN
cana-1623	8	15	.	.	PUNCT
cana-1623	9	1	the	the	DET
cana-1623	9	2	gamma	gamma	PROPN
cana-1623	9	3	prior	prior	ADV
cana-1623	9	4	is	be	AUX
cana-1623	9	5	chosen	choose	VERB
cana-1623	9	6	in	in	ADP
cana-1623	9	7	the	the	DET
cana-1623	9	8	bayesian	bayesian	NOUN
cana-1623	9	9	estimation	estimation	NOUN
cana-1623	9	10	process	process	NOUN
cana-1623	9	11	,	,	PUNCT
cana-1623	9	12	and	and	CCONJ
cana-1623	9	13	the	the	DET
cana-1623	9	14	symmetric	symmetric	ADJ
cana-1623	9	15	entropy	entropy	NOUN
cana-1623	9	16	and	and	CCONJ
cana-1623	9	17	scale	scale	NOUN
cana-1623	9	18	square	square	ADJ
cana-1623	9	19	error	error	NOUN
cana-1623	9	20	loss	loss	NOUN
cana-1623	9	21	functions	function	NOUN
cana-1623	9	22	,	,	PUNCT
cana-1623	9	23	respectively	respectively	ADV
cana-1623	9	24	,	,	PUNCT
cana-1623	9	25	are	be	AUX
cana-1623	9	26	used	use	VERB
cana-1623	9	27	to	to	PART
cana-1623	9	28	estimate	estimate	VERB
cana-1623	9	29	the	the	DET
cana-1623	9	30	parameters	parameter	NOUN
cana-1623	9	31	and	and	CCONJ
cana-1623	9	32	reliability	reliability	NOUN
cana-1623	9	33	.	.	PUNCT
cana-1623	10	1	the	the	DET
cana-1623	10	2	lindley	lindley	NOUN
cana-1623	10	3	approximation	approximation	NOUN
cana-1623	10	4	is	be	AUX
cana-1623	10	5	used	use	VERB
cana-1623	10	6	to	to	PART
cana-1623	10	7	approximate	approximate	VERB
cana-1623	10	8	the	the	DET
cana-1623	10	9	bayesian	bayesian	NOUN
cana-1623	10	10	estimates	estimate	NOUN
cana-1623	10	11	due	due	ADP
cana-1623	10	12	to	to	ADP
cana-1623	10	13	the	the	DET
cana-1623	10	14	complexity	complexity	NOUN
cana-1623	10	15	of	of	ADP
cana-1623	10	16	the	the	DET
cana-1623	10	17	integrals	integral	NOUN
cana-1623	10	18	.	.	PUNCT
cana-1623	11	1	according	accord	VERB
cana-1623	11	2	to	to	ADP
cana-1623	11	3	the	the	DET
cana-1623	11	4	simulation	simulation	NOUN
cana-1623	11	5	results	result	NOUN
cana-1623	11	6	,	,	PUNCT
cana-1623	11	7	the	the	DET
cana-1623	11	8	maximum	maximum	ADJ
cana-1623	11	9	likelihood	likelihood	NOUN
cana-1623	11	10	estimate	estimate	NOUN
cana-1623	11	11	is	be	AUX
cana-1623	11	12	not	not	PART
cana-1623	11	13	as	as	ADV
cana-1623	11	14	appropriate	appropriate	ADJ
cana-1623	11	15	for	for	ADP
cana-1623	11	16	reliability	reliability	NOUN
cana-1623	11	17	estimation	estimation	NOUN
cana-1623	11	18	as	as	ADP
cana-1623	11	19	the	the	DET
cana-1623	11	20	bayesian	bayesian	NOUN
cana-1623	11	21	estimation	estimation	NOUN
cana-1623	11	22	.	.	PUNCT
cana-1623	12	1	ultimately	ultimately	ADV
cana-1623	12	2	,	,	PUNCT
cana-1623	12	3	the	the	DET
cana-1623	12	4	efficacy	efficacy	NOUN
cana-1623	12	5	of	of	ADP
cana-1623	12	6	these	these	DET
cana-1623	12	7	suggested	suggest	VERB
cana-1623	12	8	techniques	technique	NOUN
cana-1623	12	9	is	be	AUX
cana-1623	12	10	demonstrated	demonstrate	VERB
cana-1623	12	11	using	use	VERB
cana-1623	12	12	a	a	DET
cana-1623	12	13	collection	collection	NOUN
cana-1623	12	14	of	of	ADP
cana-1623	12	15	agriculture	agriculture	NOUN
cana-1623	12	16	production	production	NOUN
cana-1623	12	17	data	datum	NOUN
cana-1623	12	18	.	.	PUNCT
cana-1623	13	1	these	these	DET
cana-1623	13	2	techniques	technique	NOUN
cana-1623	13	3	yield	yield	VERB
cana-1623	13	4	an	an	DET
cana-1623	13	5	accurate	accurate	ADJ
cana-1623	13	6	evaluation	evaluation	NOUN
cana-1623	13	7	of	of	ADP
cana-1623	13	8	the	the	DET
cana-1623	13	9	intuitive	intuitive	ADJ
cana-1623	13	10	fuzzy	fuzzy	ADJ
cana-1623	13	11	life	life	NOUN
cana-1623	13	12	data	datum	NOUN
cana-1623	13	13	's	's	PART
cana-1623	13	14	reliability	reliability	NOUN
cana-1623	13	15	,	,	PUNCT
cana-1623	13	16	serving	serve	VERB
cana-1623	13	17	as	as	ADP
cana-1623	13	18	a	a	DET
cana-1623	13	19	crucial	crucial	ADJ
cana-1623	13	20	point	point	NOUN
cana-1623	13	21	of	of	ADP
cana-1623	13	22	reference	reference	NOUN
cana-1623	13	23	for	for	ADP
cana-1623	13	24	reliability	reliability	NOUN
cana-1623	13	25	analysis	analysis	NOUN
cana-1623	13	26	in	in	ADP
cana-1623	13	27	the	the	DET
cana-1623	13	28	scientific	scientific	ADJ
cana-1623	13	29	community	community	NOUN
cana-1623	13	30	.	.	PUNCT
cana-1623	14	1	using	use	VERB
cana-1623	14	2	intuitionistic	intuitionistic	ADJ
cana-1623	14	3	fuzzy	fuzzy	ADJ
cana-1623	14	4	values	value	NOUN
cana-1623	14	5	for	for	ADP
cana-1623	14	6	real	real	ADJ
cana-1623	14	7	-	-	PUNCT
cana-1623	14	8	time	time	NOUN
cana-1623	14	9	data	datum	NOUN
cana-1623	14	10	,	,	PUNCT
cana-1623	14	11	the	the	DET
cana-1623	14	12	present	present	ADJ
cana-1623	14	13	work	work	NOUN
cana-1623	14	14	investigated	investigate	VERB
cana-1623	14	15	the	the	DET
cana-1623	14	16	reliability	reliability	NOUN
cana-1623	14	17	estimation	estimation	NOUN
cana-1623	14	18	,	,	PUNCT
cana-1623	14	19	cumulative	cumulative	ADJ
cana-1623	14	20	density	density	NOUN
cana-1623	14	21	function	function	NOUN
cana-1623	14	22	,	,	PUNCT
cana-1623	14	23	and	and	CCONJ
cana-1623	14	24	probability	probability	NOUN
cana-1623	14	25	density	density	NOUN
cana-1623	14	26	function	function	NOUN
cana-1623	14	27	of	of	ADP
cana-1623	14	28	the	the	DET
cana-1623	14	29	inverse	inverse	ADJ
cana-1623	14	30	weibull	weibull	NOUN
cana-1623	14	31	distribution	distribution	NOUN
cana-1623	14	32	.	.	PUNCT
cana-1623	15	1	we	we	PRON
cana-1623	15	2	examined	examine	VERB
cana-1623	15	3	andra	andra	PRON
cana-1623	15	4	agricultural	agricultural	ADJ
cana-1623	15	5	output	output	NOUN
cana-1623	15	6	in	in	ADP
cana-1623	15	7	2019	2019	NUM
cana-1623	15	8	in	in	ADP
cana-1623	15	9	this	this	DET
cana-1623	15	10	analysis	analysis	NOUN
cana-1623	15	11	.	.	PUNCT
cana-1623	16	1	the	the	DET
cana-1623	16	2	comparison	comparison	NOUN
cana-1623	16	3	thus	thus	ADV
cana-1623	16	4	showed	show	VERB
cana-1623	16	5	that	that	SCONJ
cana-1623	16	6	the	the	DET
cana-1623	16	7	estimation	estimation	NOUN
cana-1623	16	8	of	of	ADP
cana-1623	16	9	fuzziness	fuzziness	NOUN
cana-1623	16	10	values	value	NOUN
cana-1623	16	11	is	be	AUX
cana-1623	16	12	better	well	ADJ
cana-1623	16	13	than	than	ADP
cana-1623	16	14	the	the	DET
cana-1623	16	15	real	real	ADJ
cana-1623	16	16	-	-	PUNCT
cana-1623	16	17	time	time	NOUN
cana-1623	16	18	data	datum	NOUN
cana-1623	16	19	.	.	PUNCT
cana-1623	17	1	keywords	keyword	NOUN
cana-1623	17	2	:	:	PUNCT
cana-1623	17	3	agriculture	agriculture	NOUN
cana-1623	17	4	data	datum	NOUN
cana-1623	17	5	,	,	PUNCT
cana-1623	17	6	inverse	inverse	ADJ
cana-1623	17	7	weibull	weibull	NOUN
cana-1623	17	8	distribution	distribution	NOUN
cana-1623	17	9	,	,	PUNCT
cana-1623	17	10	intuitionistic	intuitionistic	ADJ
cana-1623	17	11	fuzzy	fuzzy	ADJ
cana-1623	17	12	set	set	NOUN
cana-1623	17	13	,	,	PUNCT
cana-1623	17	14	reliability	reliability	NOUN
cana-1623	17	15	estimation	estimation	NOUN
cana-1623	17	16	.	.	PUNCT
cana-1623	18	1	mathematical	mathematical	ADJ
cana-1623	18	2	subject	subject	ADJ
cana-1623	18	3	classification	classification	NOUN
cana-1623	18	4	(	(	PUNCT
cana-1623	18	5	2020	2020	NUM
cana-1623	18	6	):	):	PUNCT
cana-1623	18	7	03e72	03e72	NUM
cana-1623	18	8	,	,	PUNCT
cana-1623	18	9	62a86	62a86	NUM
cana-1623	18	10	.	.	PUNCT
cana-1623	19	1	mailto:suja01rakshi@gmail.com	mailto:suja01rakshi@gmail.com	X
cana-1623	19	2	mailto:dradineshkumar@gmail.com	mailto:dradineshkumar@gmail.com	NOUN
cana-1623	20	1	mailto:rsivaraman1729@yahoo.co.in	mailto:rsivaraman1729@yahoo.co.in	PROPN
cana-1623	20	2	mailto:vasuki.scas@gmail.com	mailto:vasuki.scas@gmail.com	PROPN
cana-1623	20	3	mailto:suja01rakshi@gmail.com	mailto:suja01rakshi@gmail.com	PROPN
cana-1623	20	4	communications	communication	NOUN
cana-1623	20	5	on	on	ADP
cana-1623	20	6	applied	apply	VERB
cana-1623	20	7	nonlinear	nonlinear	ADJ
cana-1623	20	8	analysis	analysis	NOUN
cana-1623	20	9	issn	issn	NOUN
cana-1623	20	10	:	:	PUNCT
cana-1623	20	11	1074	1074	NUM
cana-1623	20	12	-	-	PUNCT
cana-1623	20	13	133x	133x	NUM
cana-1623	20	14	vol	vol	NOUN
cana-1623	20	15	32	32	NUM
cana-1623	20	16	no	no	NOUN
cana-1623	20	17	.	.	NOUN
cana-1623	20	18	1	1	NUM
cana-1623	20	19	(	(	PUNCT
cana-1623	20	20	2025	2025	NUM
cana-1623	20	21	)	)	PUNCT
cana-1623	21	1	91	91	NUM
cana-1623	21	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	21	3	1	1	NUM
cana-1623	21	4	.	.	PUNCT
cana-1623	21	5	introduction	introduction	NOUN
cana-1623	21	6	real	real	ADJ
cana-1623	21	7	-	-	PUNCT
cana-1623	21	8	world	world	NOUN
cana-1623	21	9	models	model	NOUN
cana-1623	21	10	can	can	AUX
cana-1623	21	11	be	be	AUX
cana-1623	21	12	more	more	ADV
cana-1623	21	13	accurate	accurate	ADJ
cana-1623	21	14	when	when	SCONJ
cana-1623	21	15	fuzzy	fuzzy	ADJ
cana-1623	21	16	sets	set	NOUN
cana-1623	21	17	of	of	ADP
cana-1623	21	18	numbers	number	NOUN
cana-1623	21	19	are	be	AUX
cana-1623	21	20	used	use	VERB
cana-1623	21	21	,	,	PUNCT
cana-1623	21	22	especially	especially	ADV
cana-1623	21	23	when	when	SCONJ
cana-1623	21	24	it	it	PRON
cana-1623	21	25	comes	come	VERB
cana-1623	21	26	to	to	ADP
cana-1623	21	27	uncertainty	uncertainty	NOUN
cana-1623	21	28	models	model	NOUN
cana-1623	21	29	like	like	ADP
cana-1623	21	30	statistical	statistical	ADJ
cana-1623	21	31	fluctuations	fluctuation	NOUN
cana-1623	21	32	in	in	ADP
cana-1623	21	33	observed	observed	ADJ
cana-1623	21	34	lifetime	lifetime	NOUN
cana-1623	21	35	.	.	PUNCT
cana-1623	22	1	voids	void	NOUN
cana-1623	22	2	are	be	AUX
cana-1623	22	3	another	another	DET
cana-1623	22	4	type	type	NOUN
cana-1623	22	5	of	of	ADP
cana-1623	22	6	uncertainty	uncertainty	NOUN
cana-1623	22	7	that	that	PRON
cana-1623	22	8	arises	arise	VERB
cana-1623	22	9	when	when	SCONJ
cana-1623	22	10	an	an	DET
cana-1623	22	11	observation	observation	NOUN
cana-1623	22	12	is	be	AUX
cana-1623	22	13	not	not	PART
cana-1623	22	14	a	a	DET
cana-1623	22	15	precise	precise	ADJ
cana-1623	22	16	number	number	NOUN
cana-1623	22	17	but	but	CCONJ
cana-1623	22	18	rather	rather	ADV
cana-1623	22	19	a	a	DET
cana-1623	22	20	fuzzy	fuzzy	ADJ
cana-1623	22	21	one	one	NUM
cana-1623	22	22	.	.	PUNCT
cana-1623	23	1	zadeh	zadeh	PROPN
cana-1623	23	2	used	use	VERB
cana-1623	23	3	the	the	DET
cana-1623	23	4	term	term	NOUN
cana-1623	23	5	"	"	PUNCT
cana-1623	23	6	fuzzy	fuzzy	ADJ
cana-1623	23	7	variable	variable	NOUN
cana-1623	23	8	"	"	PUNCT
cana-1623	23	9	in	in	ADP
cana-1623	23	10	1965	1965	NUM
cana-1623	23	11	[	[	X
cana-1623	23	12	1	1	X
cana-1623	23	13	]	]	PUNCT
cana-1623	23	14	to	to	PART
cana-1623	23	15	refer	refer	VERB
cana-1623	23	16	to	to	ADP
cana-1623	23	17	incorrect	incorrect	ADJ
cana-1623	23	18	linguistic	linguistic	ADJ
cana-1623	23	19	idiom	idiom	NOUN
cana-1623	23	20	and	and	CCONJ
cana-1623	23	21	vernacular	vernacular	ADJ
cana-1623	23	22	.	.	PUNCT
cana-1623	24	1	fuzzy	fuzzy	ADJ
cana-1623	24	2	set	set	PROPN
cana-1623	24	3	theory	theory	NOUN
cana-1623	24	4	got	get	VERB
cana-1623	24	5	its	its	PRON
cana-1623	24	6	start	start	NOUN
cana-1623	24	7	with	with	ADP
cana-1623	24	8	this	this	PRON
cana-1623	24	9	.	.	PUNCT
cana-1623	25	1	a	a	DET
cana-1623	25	2	fuzzy	fuzzy	ADJ
cana-1623	25	3	set	set	NOUN
cana-1623	25	4	is	be	AUX
cana-1623	25	5	made	make	VERB
cana-1623	25	6	up	up	ADP
cana-1623	25	7	of	of	ADP
cana-1623	25	8	elements	element	NOUN
cana-1623	25	9	with	with	ADP
cana-1623	25	10	different	different	ADJ
cana-1623	25	11	membership	membership	NOUN
cana-1623	25	12	levels	level	NOUN
cana-1623	25	13	.	.	PUNCT
cana-1623	26	1	the	the	DET
cana-1623	26	2	rayleigh	rayleigh	PROPN
cana-1623	26	3	lifetime	lifetime	NOUN
cana-1623	26	4	distribution	distribution	NOUN
cana-1623	26	5	to	to	PART
cana-1623	26	6	study	study	VERB
cana-1623	26	7	the	the	DET
cana-1623	26	8	dependability	dependability	NOUN
cana-1623	26	9	properties	property	NOUN
cana-1623	26	10	of	of	ADP
cana-1623	26	11	systems	system	NOUN
cana-1623	26	12	,	,	PUNCT
cana-1623	26	13	where	where	SCONJ
cana-1623	26	14	the	the	DET
cana-1623	26	15	lifespan	lifespan	ADJ
cana-1623	26	16	parameter	parameter	NOUN
cana-1623	26	17	is	be	AUX
cana-1623	26	18	taken	take	VERB
cana-1623	26	19	to	to	PART
cana-1623	26	20	be	be	AUX
cana-1623	26	21	a	a	DET
cana-1623	26	22	generalized	generalized	ADJ
cana-1623	26	23	intuitionistic	intuitionistic	ADJ
cana-1623	26	24	fuzzy	fuzzy	ADJ
cana-1623	26	25	number	number	NOUN
cana-1623	26	26	,	,	PUNCT
cana-1623	26	27	when	when	SCONJ
cana-1623	26	28	the	the	DET
cana-1623	26	29	systems	system	NOUN
cana-1623	26	30	follow	follow	VERB
cana-1623	26	31	a	a	DET
cana-1623	26	32	generalised	generalise	VERB
cana-1623	26	33	intuitionistic	intuitionistic	ADJ
cana-1623	26	34	fuzzy	fuzzy	ADJ
cana-1623	26	35	rayleigh	rayleigh	NOUN
cana-1623	26	36	lifetime	lifetime	NOUN
cana-1623	26	37	distribution	distribution	NOUN
cana-1623	26	38	,	,	PUNCT
cana-1623	26	39	generalised	generalise	VERB
cana-1623	26	40	intuitionistic	intuitionistic	ADJ
cana-1623	26	41	fuzzy	fuzzy	ADJ
cana-1623	26	42	dependability	dependability	NOUN
cana-1623	26	43	,	,	PUNCT
cana-1623	26	44	generalised	generalise	VERB
cana-1623	26	45	intuitionistic	intuitionistic	ADJ
cana-1623	26	46	fuzzy	fuzzy	ADJ
cana-1623	26	47	hazard	hazard	NOUN
cana-1623	26	48	function	function	NOUN
cana-1623	26	49	,	,	PUNCT
cana-1623	26	50	and	and	CCONJ
cana-1623	26	51	generalised	generalise	VERB
cana-1623	26	52	intuitionistic	intuitionistic	ADJ
cana-1623	26	53	fuzzy	fuzzy	ADJ
cana-1623	26	54	mean	mean	ADJ
cana-1623	26	55	time	time	NOUN
cana-1623	26	56	to	to	ADP
cana-1623	26	57	failure	failure	NOUN
cana-1623	26	58	are	be	AUX
cana-1623	26	59	explored	explore	VERB
cana-1623	26	60	along	along	ADP
cana-1623	26	61	with	with	ADP
cana-1623	26	62	their	their	PRON
cana-1623	26	63	cut	cut	NOUN
cana-1623	26	64	sets	set	NOUN
cana-1623	26	65	.	.	PUNCT
cana-1623	27	1	with	with	ADP
cana-1623	27	2	this	this	DET
cana-1623	27	3	method	method	NOUN
cana-1623	27	4	,	,	PUNCT
cana-1623	27	5	the	the	DET
cana-1623	27	6	danger	danger	NOUN
cana-1623	27	7	and	and	CCONJ
cana-1623	27	8	dependability	dependability	NOUN
cana-1623	27	9	curves	curve	NOUN
cana-1623	27	10	for	for	ADP
cana-1623	27	11	each	each	DET
cana-1623	27	12	unique	unique	ADJ
cana-1623	27	13	cut	cut	NOUN
cana-1623	27	14	set	set	VERB
cana-1623	27	15	resemble	resemble	VERB
cana-1623	27	16	a	a	DET
cana-1623	27	17	band	band	NOUN
cana-1623	27	18	with	with	ADP
cana-1623	27	19	upper	upper	ADJ
cana-1623	27	20	and	and	CCONJ
cana-1623	27	21	lower	low	ADJ
cana-1623	27	22	bounds	bound	NOUN
cana-1623	27	23	.	.	PUNCT
cana-1623	28	1	a	a	DET
cana-1623	28	2	numerical	numerical	ADJ
cana-1623	28	3	example	example	NOUN
cana-1623	28	4	is	be	AUX
cana-1623	28	5	provided	provide	VERB
cana-1623	28	6	to	to	PART
cana-1623	28	7	demonstrate	demonstrate	VERB
cana-1623	28	8	the	the	DET
cana-1623	28	9	suggested	suggest	VERB
cana-1623	28	10	methodology	methodology	NOUN
cana-1623	28	11	.	.	PUNCT
cana-1623	29	1	additional	additional	ADJ
cana-1623	29	2	reliability	reliability	NOUN
cana-1623	29	3	study	study	NOUN
cana-1623	29	4	is	be	AUX
cana-1623	29	5	conducted	conduct	VERB
cana-1623	29	6	for	for	ADP
cana-1623	29	7	both	both	CCONJ
cana-1623	29	8	the	the	DET
cana-1623	29	9	parallel	parallel	ADJ
cana-1623	29	10	and	and	CCONJ
cana-1623	29	11	series	series	NOUN
cana-1623	29	12	systems	system	NOUN
cana-1623	29	13	[	[	X
cana-1623	29	14	2	2	NUM
cana-1623	29	15	]	]	PUNCT
cana-1623	29	16	.	.	PUNCT
cana-1623	30	1	an	an	DET
cana-1623	30	2	intuitionistic	intuitionistic	ADJ
cana-1623	30	3	fuzzy	fuzzy	ADJ
cana-1623	30	4	weibull	weibull	NOUN
cana-1623	30	5	lifetime	lifetime	NOUN
cana-1623	30	6	distribution	distribution	NOUN
cana-1623	30	7	to	to	PART
cana-1623	30	8	examine	examine	VERB
cana-1623	30	9	the	the	DET
cana-1623	30	10	fuzzy	fuzzy	ADJ
cana-1623	30	11	dependability	dependability	NOUN
cana-1623	30	12	of	of	ADP
cana-1623	30	13	a	a	DET
cana-1623	30	14	few	few	ADJ
cana-1623	30	15	systems	system	NOUN
cana-1623	30	16	,	,	PUNCT
cana-1623	30	17	because	because	SCONJ
cana-1623	30	18	of	of	ADP
cana-1623	30	19	data	datum	NOUN
cana-1623	30	20	imperfection	imperfection	NOUN
cana-1623	30	21	and	and	CCONJ
cana-1623	30	22	uncertainty	uncertainty	NOUN
cana-1623	30	23	,	,	PUNCT
cana-1623	30	24	fuzzy	fuzzy	ADJ
cana-1623	30	25	lifetime	lifetime	NOUN
cana-1623	30	26	parameters	parameter	NOUN
cana-1623	30	27	are	be	AUX
cana-1623	30	28	postulated	postulate	VERB
cana-1623	30	29	.	.	PUNCT
cana-1623	31	1	when	when	SCONJ
cana-1623	31	2	systems	system	NOUN
cana-1623	31	3	follow	follow	VERB
cana-1623	31	4	intuitionistic	intuitionistic	ADJ
cana-1623	31	5	fuzzy	fuzzy	ADJ
cana-1623	31	6	weibull	weibull	NOUN
cana-1623	31	7	lifetime	lifetime	NOUN
cana-1623	31	8	distribution	distribution	NOUN
cana-1623	31	9	,	,	PUNCT
cana-1623	31	10	expressions	expression	NOUN
cana-1623	31	11	for	for	ADP
cana-1623	31	12	fuzzy	fuzzy	ADJ
cana-1623	31	13	dependability	dependability	NOUN
cana-1623	31	14	,	,	PUNCT
cana-1623	31	15	fuzzy	fuzzy	ADJ
cana-1623	31	16	mean	mean	ADJ
cana-1623	31	17	time	time	NOUN
cana-1623	31	18	to	to	ADP
cana-1623	31	19	failure	failure	NOUN
cana-1623	31	20	,	,	PUNCT
cana-1623	31	21	fuzzy	fuzzy	ADJ
cana-1623	31	22	hazard	hazard	NOUN
cana-1623	31	23	function	function	NOUN
cana-1623	31	24	,	,	PUNCT
cana-1623	31	25	and	and	CCONJ
cana-1623	31	26	their	their	PRON
cana-1623	31	27	𝛼-cut	𝛼-cut	NOUN
cana-1623	31	28	have	have	AUX
cana-1623	31	29	been	be	AUX
cana-1623	31	30	addressed	address	VERB
cana-1623	31	31	.	.	PUNCT
cana-1623	32	1	to	to	PART
cana-1623	32	2	demonstrate	demonstrate	VERB
cana-1623	32	3	the	the	DET
cana-1623	32	4	process	process	NOUN
cana-1623	32	5	for	for	ADP
cana-1623	32	6	calculating	calculate	VERB
cana-1623	32	7	the	the	DET
cana-1623	32	8	fuzzy	fuzzy	ADJ
cana-1623	32	9	reliability	reliability	NOUN
cana-1623	32	10	characteristics	characteristic	NOUN
cana-1623	32	11	of	of	ADP
cana-1623	32	12	systems	system	NOUN
cana-1623	32	13	,	,	PUNCT
cana-1623	32	14	a	a	DET
cana-1623	32	15	numerical	numerical	ADJ
cana-1623	32	16	example	example	NOUN
cana-1623	32	17	is	be	AUX
cana-1623	32	18	also	also	ADV
cana-1623	32	19	provided	provide	VERB
cana-1623	32	20	by	by	ADP
cana-1623	32	21	[	[	X
cana-1623	32	22	3	3	NUM
cana-1623	32	23	]	]	PUNCT
cana-1623	32	24	.	.	PUNCT
cana-1623	33	1	an	an	DET
cana-1623	33	2	intuitionistic	intuitionistic	ADJ
cana-1623	33	3	fuzzy	fuzzy	ADJ
cana-1623	33	4	random	random	ADJ
cana-1623	33	5	variable	variable	NOUN
cana-1623	33	6	with	with	ADP
cana-1623	33	7	exact	exact	ADJ
cana-1623	33	8	parameters	parameter	NOUN
cana-1623	33	9	was	be	AUX
cana-1623	33	10	created	create	VERB
cana-1623	33	11	and	and	CCONJ
cana-1623	33	12	used	use	VERB
cana-1623	33	13	to	to	PART
cana-1623	33	14	assess	assess	VERB
cana-1623	33	15	the	the	DET
cana-1623	33	16	reliability	reliability	NOUN
cana-1623	33	17	functions	function	NOUN
cana-1623	33	18	of	of	ADP
cana-1623	33	19	a	a	DET
cana-1623	33	20	k	k	NOUN
cana-1623	33	21	-	-	PUNCT
cana-1623	33	22	out	out	ADP
cana-1623	33	23	-	-	PUNCT
cana-1623	33	24	of	of	ADP
cana-1623	33	25	-	-	PUNCT
cana-1623	33	26	n	n	NOUN
cana-1623	33	27	system	system	NOUN
cana-1623	33	28	.	.	PUNCT
cana-1623	34	1	some	some	DET
cana-1623	34	2	reliability	reliability	NOUN
cana-1623	34	3	evaluation	evaluation	NOUN
cana-1623	34	4	criteria	criterion	NOUN
cana-1623	34	5	were	be	AUX
cana-1623	34	6	explored	explore	VERB
cana-1623	34	7	and	and	CCONJ
cana-1623	34	8	interpreted	interpret	VERB
cana-1623	34	9	.	.	PUNCT
cana-1623	35	1	numerical	numerical	ADJ
cana-1623	35	2	assessments	assessment	NOUN
cana-1623	35	3	were	be	AUX
cana-1623	35	4	also	also	ADV
cana-1623	35	5	presented	present	VERB
cana-1623	35	6	to	to	PART
cana-1623	35	7	demonstrate	demonstrate	VERB
cana-1623	35	8	the	the	DET
cana-1623	35	9	determination	determination	NOUN
cana-1623	35	10	of	of	ADP
cana-1623	35	11	system	system	NOUN
cana-1623	35	12	dependability	dependability	NOUN
cana-1623	35	13	criteria	criterion	NOUN
cana-1623	35	14	in	in	ADP
cana-1623	35	15	the	the	DET
cana-1623	35	16	form	form	NOUN
cana-1623	35	17	of	of	ADP
cana-1623	35	18	intuitionistic	intuitionistic	ADJ
cana-1623	35	19	fuzzy	fuzzy	ADJ
cana-1623	35	20	numbers	number	NOUN
cana-1623	35	21	[	[	X
cana-1623	35	22	4	4	NUM
cana-1623	35	23	]	]	PUNCT
cana-1623	35	24	.	.	PUNCT
cana-1623	36	1	finally	finally	ADV
cana-1623	36	2	,	,	PUNCT
cana-1623	36	3	many	many	ADJ
cana-1623	36	4	potential	potential	ADJ
cana-1623	36	5	engineering	engineering	NOUN
cana-1623	36	6	applications	application	NOUN
cana-1623	36	7	for	for	ADP
cana-1623	36	8	the	the	DET
cana-1623	36	9	suggested	suggest	VERB
cana-1623	36	10	technique	technique	NOUN
cana-1623	36	11	were	be	AUX
cana-1623	36	12	discussed	discuss	VERB
cana-1623	36	13	.	.	PUNCT
cana-1623	37	1	generalized	generalized	ADJ
cana-1623	37	2	intuitionistic	intuitionistic	ADJ
cana-1623	37	3	fuzzy	fuzzy	ADJ
cana-1623	37	4	numbers	number	NOUN
cana-1623	37	5	are	be	AUX
cana-1623	37	6	used	use	VERB
cana-1623	37	7	to	to	PART
cana-1623	37	8	assess	assess	VERB
cana-1623	37	9	the	the	DET
cana-1623	37	10	reliability	reliability	NOUN
cana-1623	37	11	of	of	ADP
cana-1623	37	12	various	various	ADJ
cana-1623	37	13	systems	system	NOUN
cana-1623	37	14	.	.	PUNCT
cana-1623	38	1	the	the	DET
cana-1623	38	2	reliability	reliability	NOUN
cana-1623	38	3	features	feature	NOUN
cana-1623	38	4	of	of	ADP
cana-1623	38	5	systems	system	NOUN
cana-1623	38	6	using	use	VERB
cana-1623	38	7	the	the	DET
cana-1623	38	8	pareto	pareto	ADJ
cana-1623	38	9	lifespan	lifespan	ADJ
cana-1623	38	10	distribution	distribution	NOUN
cana-1623	38	11	are	be	AUX
cana-1623	38	12	explored	explore	VERB
cana-1623	38	13	,	,	PUNCT
cana-1623	38	14	under	under	ADP
cana-1623	38	15	the	the	DET
cana-1623	38	16	assumption	assumption	NOUN
cana-1623	38	17	that	that	SCONJ
cana-1623	38	18	the	the	DET
cana-1623	38	19	lifetime	lifetime	NOUN
cana-1623	38	20	scale	scale	NOUN
cana-1623	38	21	parameter	parameter	NOUN
cana-1623	38	22	is	be	AUX
cana-1623	38	23	a	a	DET
cana-1623	38	24	generalized	generalized	ADJ
cana-1623	38	25	intuitionistic	intuitionistic	ADJ
cana-1623	38	26	fuzzy	fuzzy	ADJ
cana-1623	38	27	number	number	NOUN
cana-1623	38	28	.	.	PUNCT
cana-1623	39	1	in	in	ADP
cana-1623	39	2	general	general	ADJ
cana-1623	39	3	,	,	PUNCT
cana-1623	39	4	the	the	DET
cana-1623	39	5	cut	cut	NOUN
cana-1623	39	6	sets	set	VERB
cana-1623	39	7	for	for	ADP
cana-1623	39	8	the	the	DET
cana-1623	39	9	generalized	generalized	ADJ
cana-1623	39	10	intuitionistic	intuitionistic	ADJ
cana-1623	39	11	fuzzy	fuzzy	ADJ
cana-1623	39	12	reliability	reliability	NOUN
cana-1623	39	13	function	function	NOUN
cana-1623	39	14	,	,	PUNCT
cana-1623	39	15	generalised	generalise	VERB
cana-1623	39	16	intuitionistic	intuitionistic	ADJ
cana-1623	39	17	fuzzy	fuzzy	ADJ
cana-1623	39	18	conditional	conditional	ADJ
cana-1623	39	19	reliability	reliability	NOUN
cana-1623	39	20	function	function	NOUN
cana-1623	39	21	,	,	PUNCT
cana-1623	39	22	generalized	generalized	ADJ
cana-1623	39	23	intuitionistic	intuitionistic	ADJ
cana-1623	39	24	fuzzy	fuzzy	ADJ
cana-1623	39	25	hazard	hazard	NOUN
cana-1623	39	26	function	function	NOUN
cana-1623	39	27	,	,	PUNCT
cana-1623	39	28	and	and	CCONJ
cana-1623	39	29	generalized	generalized	ADJ
cana-1623	39	30	intuitionistic	intuitionistic	ADJ
cana-1623	39	31	fuzzy	fuzzy	ADJ
cana-1623	39	32	mean	mean	ADJ
cana-1623	39	33	time	time	NOUN
cana-1623	39	34	to	to	ADP
cana-1623	39	35	failure	failure	NOUN
cana-1623	39	36	are	be	AUX
cana-1623	39	37	examined	examine	VERB
cana-1623	39	38	.	.	PUNCT
cana-1623	40	1	the	the	DET
cana-1623	40	2	reliability	reliability	NOUN
cana-1623	40	3	functions	function	NOUN
cana-1623	40	4	listed	list	VERB
cana-1623	40	5	above	above	ADV
cana-1623	40	6	are	be	AUX
cana-1623	40	7	discussed	discuss	VERB
cana-1623	40	8	for	for	ADP
cana-1623	40	9	generalized	generalized	ADJ
cana-1623	40	10	intuitionistic	intuitionistic	ADJ
cana-1623	40	11	fuzzy	fuzzy	ADJ
cana-1623	40	12	pareto	pareto	ADJ
cana-1623	40	13	lifespan	lifespan	NOUN
cana-1623	40	14	systems	system	NOUN
cana-1623	40	15	.	.	PUNCT
cana-1623	41	1	furthermore	furthermore	ADV
cana-1623	41	2	,	,	PUNCT
cana-1623	41	3	reliability	reliability	NOUN
cana-1623	41	4	analysis	analysis	NOUN
cana-1623	41	5	of	of	ADP
cana-1623	41	6	series	series	NOUN
cana-1623	41	7	and	and	CCONJ
cana-1623	41	8	parallel	parallel	ADJ
cana-1623	41	9	systems	system	NOUN
cana-1623	41	10	is	be	AUX
cana-1623	41	11	performed	perform	VERB
cana-1623	41	12	,	,	PUNCT
cana-1623	41	13	and	and	CCONJ
cana-1623	41	14	a	a	DET
cana-1623	41	15	numerical	numerical	ADJ
cana-1623	41	16	example	example	NOUN
cana-1623	41	17	is	be	AUX
cana-1623	41	18	provided	provide	VERB
cana-1623	41	19	[	[	X
cana-1623	41	20	5	5	NUM
cana-1623	41	21	]	]	PUNCT
cana-1623	41	22	.	.	PUNCT
cana-1623	42	1	the	the	DET
cana-1623	42	2	intuitionistic	intuitionistic	ADJ
cana-1623	42	3	fuzzy	fuzzy	ADJ
cana-1623	42	4	sets	set	NOUN
cana-1623	42	5	(	(	PUNCT
cana-1623	42	6	ifs	ifs	PROPN
cana-1623	42	7	)	)	PUNCT
cana-1623	42	8	idea	idea	NOUN
cana-1623	42	9	,	,	PUNCT
cana-1623	42	10	along	along	ADP
cana-1623	42	11	with	with	ADP
cana-1623	42	12	the	the	DET
cana-1623	42	13	triangle	triangle	NOUN
cana-1623	42	14	fuzzy	fuzzy	ADJ
cana-1623	42	15	number	number	NOUN
cana-1623	42	16	(	(	PUNCT
cana-1623	42	17	tfn	tfn	NOUN
cana-1623	42	18	)	)	PUNCT
cana-1623	42	19	and	and	CCONJ
cana-1623	42	20	weibull	weibull	PROPN
cana-1623	42	21	lifetime	lifetime	NOUN
cana-1623	42	22	distribution	distribution	NOUN
cana-1623	42	23	,	,	PUNCT
cana-1623	42	24	is	be	AUX
cana-1623	42	25	used	use	VERB
cana-1623	42	26	to	to	PART
cana-1623	42	27	determine	determine	VERB
cana-1623	42	28	the	the	DET
cana-1623	42	29	same	same	ADJ
cana-1623	42	30	system	system	NOUN
cana-1623	42	31	's	's	PART
cana-1623	42	32	fuzzy	fuzzy	ADJ
cana-1623	42	33	dependability	dependability	NOUN
cana-1623	42	34	.	.	PUNCT
cana-1623	43	1	in	in	ADP
cana-1623	43	2	addition	addition	NOUN
cana-1623	43	3	,	,	PUNCT
cana-1623	43	4	an	an	DET
cana-1623	43	5	averaging	averaging	NOUN
cana-1623	43	6	operator	operator	NOUN
cana-1623	43	7	with	with	ADP
cana-1623	43	8	equal	equal	ADJ
cana-1623	43	9	weights	weight	NOUN
cana-1623	43	10	is	be	AUX
cana-1623	43	11	applied	apply	VERB
cana-1623	43	12	to	to	ADP
cana-1623	43	13	a	a	DET
cana-1623	43	14	set	set	NOUN
cana-1623	43	15	of	of	ADP
cana-1623	43	16	three	three	NUM
cana-1623	43	17	triangular	triangular	NOUN
cana-1623	43	18	intuitionistic	intuitionistic	ADJ
cana-1623	43	19	fuzzy	fuzzy	ADJ
cana-1623	43	20	numbers	number	NOUN
cana-1623	43	21	.	.	PUNCT
cana-1623	44	1	a	a	DET
cana-1623	44	2	numerical	numerical	ADJ
cana-1623	44	3	example	example	NOUN
cana-1623	44	4	is	be	AUX
cana-1623	44	5	solved	solve	VERB
cana-1623	44	6	as	as	ADP
cana-1623	44	7	an	an	DET
cana-1623	44	8	illustration	illustration	NOUN
cana-1623	44	9	[	[	X
cana-1623	44	10	6	6	NUM
cana-1623	44	11	]	]	PUNCT
cana-1623	44	12	.	.	PUNCT
cana-1623	45	1	communications	communication	NOUN
cana-1623	45	2	on	on	ADP
cana-1623	45	3	applied	apply	VERB
cana-1623	45	4	nonlinear	nonlinear	ADJ
cana-1623	45	5	analysis	analysis	NOUN
cana-1623	45	6	issn	issn	NOUN
cana-1623	45	7	:	:	PUNCT
cana-1623	45	8	1074	1074	NUM
cana-1623	45	9	-	-	PUNCT
cana-1623	45	10	133x	133x	NUM
cana-1623	45	11	vol	vol	NOUN
cana-1623	45	12	32	32	NUM
cana-1623	45	13	no	no	NOUN
cana-1623	45	14	.	.	NOUN
cana-1623	45	15	1	1	NUM
cana-1623	45	16	(	(	PUNCT
cana-1623	45	17	2025	2025	NUM
cana-1623	45	18	)	)	PUNCT
cana-1623	45	19	92	92	NUM
cana-1623	45	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	46	1	the	the	DET
cana-1623	46	2	simulation	simulation	NOUN
cana-1623	46	3	results	result	NOUN
cana-1623	46	4	demonstrated	demonstrate	VERB
cana-1623	46	5	[	[	X
cana-1623	46	6	7	7	X
cana-1623	46	7	]	]	PUNCT
cana-1623	46	8	that	that	SCONJ
cana-1623	46	9	the	the	DET
cana-1623	46	10	fuzzy	fuzzy	ADJ
cana-1623	46	11	reliability	reliability	NOUN
cana-1623	46	12	at	at	ADP
cana-1623	46	13	the	the	DET
cana-1623	46	14	estimation	estimation	NOUN
cana-1623	46	15	stage	stage	NOUN
cana-1623	46	16	of	of	ADP
cana-1623	46	17	the	the	DET
cana-1623	46	18	maximum	maximum	ADJ
cana-1623	46	19	likelihood	likelihood	NOUN
cana-1623	46	20	method	method	NOUN
cana-1623	46	21	and	and	CCONJ
cana-1623	46	22	the	the	DET
cana-1623	46	23	mixed	mixed	ADJ
cana-1623	46	24	thompson	thompson	PROPN
cana-1623	46	25	method	method	NOUN
cana-1623	46	26	outperform	outperform	VERB
cana-1623	46	27	the	the	DET
cana-1623	46	28	other	other	ADJ
cana-1623	46	29	methods	method	NOUN
cana-1623	46	30	in	in	ADP
cana-1623	46	31	terms	term	NOUN
cana-1623	46	32	of	of	ADP
cana-1623	46	33	mean	mean	ADJ
cana-1623	46	34	squared	square	VERB
cana-1623	46	35	error	error	NOUN
cana-1623	46	36	(	(	PUNCT
cana-1623	46	37	mse	mse	NOUN
cana-1623	46	38	)	)	PUNCT
cana-1623	46	39	,	,	PUNCT
cana-1623	46	40	indicating	indicate	VERB
cana-1623	46	41	that	that	SCONJ
cana-1623	46	42	the	the	DET
cana-1623	46	43	use	use	NOUN
cana-1623	46	44	of	of	ADP
cana-1623	46	45	this	this	DET
cana-1623	46	46	type	type	NOUN
cana-1623	46	47	of	of	ADP
cana-1623	46	48	estimation	estimation	NOUN
cana-1623	46	49	is	be	AUX
cana-1623	46	50	recommended	recommend	VERB
cana-1623	46	51	.	.	PUNCT
cana-1623	47	1	the	the	DET
cana-1623	47	2	fuzzy	fuzzy	ADJ
cana-1623	47	3	values	value	NOUN
cana-1623	47	4	also	also	ADV
cana-1623	47	5	outperform	outperform	VERB
cana-1623	47	6	the	the	DET
cana-1623	47	7	real	real	ADJ
cana-1623	47	8	values	value	NOUN
cana-1623	47	9	for	for	ADP
cana-1623	47	10	all	all	DET
cana-1623	47	11	sample	sample	NOUN
cana-1623	47	12	sizes	size	NOUN
cana-1623	47	13	.	.	PUNCT
cana-1623	48	1	a	a	DET
cana-1623	48	2	new	new	ADJ
cana-1623	48	3	technique	technique	NOUN
cana-1623	48	4	for	for	ADP
cana-1623	48	5	analysing	analyse	VERB
cana-1623	48	6	fuzzy	fuzzy	ADJ
cana-1623	48	7	system	system	NOUN
cana-1623	48	8	reliability	reliability	NOUN
cana-1623	48	9	based	base	VERB
cana-1623	48	10	on	on	ADP
cana-1623	48	11	intuitionistic	intuitionistic	ADJ
cana-1623	48	12	trapezoidal	trapezoidal	ADJ
cana-1623	48	13	fuzzy	fuzzy	ADJ
cana-1623	48	14	set	set	NOUN
cana-1623	48	15	theory	theory	NOUN
cana-1623	48	16	is	be	AUX
cana-1623	48	17	described	describe	VERB
cana-1623	48	18	,	,	PUNCT
cana-1623	48	19	in	in	ADP
cana-1623	48	20	which	which	PRON
cana-1623	48	21	the	the	DET
cana-1623	48	22	reliabilities	reliability	NOUN
cana-1623	48	23	of	of	ADP
cana-1623	48	24	system	system	NOUN
cana-1623	48	25	components	component	NOUN
cana-1623	48	26	are	be	AUX
cana-1623	48	27	represented	represent	VERB
cana-1623	48	28	by	by	ADP
cana-1623	48	29	intuitionistic	intuitionistic	ADJ
cana-1623	48	30	trapezoidal	trapezoidal	ADJ
cana-1623	48	31	fuzzy	fuzzy	ADJ
cana-1623	48	32	numbers	number	NOUN
cana-1623	48	33	to	to	PART
cana-1623	48	34	simulate	simulate	VERB
cana-1623	48	35	uncertainty	uncertainty	NOUN
cana-1623	48	36	and	and	CCONJ
cana-1623	48	37	vagueness	vagueness	NOUN
cana-1623	48	38	in	in	ADP
cana-1623	48	39	real	real	ADJ
cana-1623	48	40	-	-	PUNCT
cana-1623	48	41	world	world	NOUN
cana-1623	48	42	circumstances	circumstance	NOUN
cana-1623	48	43	[	[	X
cana-1623	48	44	8	8	NUM
cana-1623	48	45	]	]	PUNCT
cana-1623	48	46	.	.	PUNCT
cana-1623	49	1	the	the	DET
cana-1623	49	2	suggested	suggest	VERB
cana-1623	49	3	method	method	NOUN
cana-1623	49	4	may	may	AUX
cana-1623	49	5	describe	describe	VERB
cana-1623	49	6	and	and	CCONJ
cana-1623	49	7	analyse	analyse	VERB
cana-1623	49	8	fuzzy	fuzzy	ADJ
cana-1623	49	9	system	system	NOUN
cana-1623	49	10	reliability	reliability	NOUN
cana-1623	49	11	in	in	ADP
cana-1623	49	12	a	a	DET
cana-1623	49	13	more	more	ADV
cana-1623	49	14	adaptable	adaptable	ADJ
cana-1623	49	15	and	and	CCONJ
cana-1623	49	16	intelligent	intelligent	ADJ
cana-1623	49	17	way	way	NOUN
cana-1623	49	18	.	.	PUNCT
cana-1623	50	1	the	the	DET
cana-1623	50	2	suggested	suggest	VERB
cana-1623	50	3	method	method	NOUN
cana-1623	50	4	also	also	ADV
cana-1623	50	5	compares	compare	VERB
cana-1623	50	6	different	different	ADJ
cana-1623	50	7	complex	complex	ADJ
cana-1623	50	8	systems	system	NOUN
cana-1623	50	9	using	use	VERB
cana-1623	50	10	the	the	DET
cana-1623	50	11	score	score	NOUN
cana-1623	50	12	and	and	CCONJ
cana-1623	50	13	accuracy	accuracy	NOUN
cana-1623	50	14	functions	function	NOUN
cana-1623	50	15	.	.	PUNCT
cana-1623	51	1	the	the	DET
cana-1623	51	2	score	score	NOUN
cana-1623	51	3	function	function	NOUN
cana-1623	51	4	can	can	AUX
cana-1623	51	5	assist	assist	VERB
cana-1623	51	6	the	the	DET
cana-1623	51	7	decision	decision	NOUN
cana-1623	51	8	maker	maker	NOUN
cana-1623	51	9	in	in	ADP
cana-1623	51	10	making	make	VERB
cana-1623	51	11	his	his	PRON
cana-1623	51	12	decision	decision	NOUN
cana-1623	51	13	more	more	ADV
cana-1623	51	14	efficiently	efficiently	ADV
cana-1623	51	15	in	in	ADP
cana-1623	51	16	a	a	DET
cana-1623	51	17	decision	decision	NOUN
cana-1623	51	18	-	-	PUNCT
cana-1623	51	19	making	make	VERB
cana-1623	51	20	dilemma	dilemma	NOUN
cana-1623	51	21	.	.	PUNCT
cana-1623	52	1	this	this	DET
cana-1623	52	2	method	method	NOUN
cana-1623	52	3	is	be	AUX
cana-1623	52	4	then	then	ADV
cana-1623	52	5	applied	apply	VERB
cana-1623	52	6	to	to	ADP
cana-1623	52	7	a	a	DET
cana-1623	52	8	wireless	wireless	ADJ
cana-1623	52	9	communication	communication	NOUN
cana-1623	52	10	system	system	NOUN
cana-1623	52	11	to	to	PART
cana-1623	52	12	evaluate	evaluate	VERB
cana-1623	52	13	its	its	PRON
cana-1623	52	14	intuitionistic	intuitionistic	ADJ
cana-1623	52	15	fuzzy	fuzzy	ADJ
cana-1623	52	16	reliability	reliability	NOUN
cana-1623	52	17	and	and	CCONJ
cana-1623	52	18	availability	availability	NOUN
cana-1623	52	19	,	,	PUNCT
cana-1623	52	20	with	with	ADP
cana-1623	52	21	each	each	DET
cana-1623	52	22	performance	performance	NOUN
cana-1623	52	23	state	state	NOUN
cana-1623	52	24	and	and	CCONJ
cana-1623	52	25	probability	probability	NOUN
cana-1623	52	26	represented	represent	VERB
cana-1623	52	27	by	by	ADP
cana-1623	52	28	a	a	DET
cana-1623	52	29	tifn	tifn	NOUN
cana-1623	52	30	.	.	PUNCT
cana-1623	53	1	the	the	DET
cana-1623	53	2	acquired	acquire	VERB
cana-1623	53	3	results	result	NOUN
cana-1623	53	4	are	be	AUX
cana-1623	53	5	also	also	ADV
cana-1623	53	6	shown	show	VERB
cana-1623	53	7	graphically	graphically	ADV
cana-1623	53	8	for	for	ADP
cana-1623	53	9	better	well	ADJ
cana-1623	53	10	understanding	understanding	NOUN
cana-1623	53	11	.	.	PUNCT
cana-1623	54	1	this	this	DET
cana-1623	54	2	work	work	NOUN
cana-1623	54	3	contributes	contribute	VERB
cana-1623	54	4	to	to	ADP
cana-1623	54	5	a	a	DET
cana-1623	54	6	better	well	ADJ
cana-1623	54	7	understanding	understanding	NOUN
cana-1623	54	8	of	of	ADP
cana-1623	54	9	fmss	fmss	NOUN
cana-1623	54	10	,	,	PUNCT
cana-1623	54	11	making	make	VERB
cana-1623	54	12	them	they	PRON
cana-1623	54	13	more	more	ADV
cana-1623	54	14	dependable	dependable	ADJ
cana-1623	54	15	[	[	X
cana-1623	54	16	9	9	NUM
cana-1623	54	17	]	]	PUNCT
cana-1623	54	18	.	.	PUNCT
cana-1623	55	1	the	the	DET
cana-1623	55	2	foundation	foundation	NOUN
cana-1623	55	3	of	of	ADP
cana-1623	55	4	reliability	reliability	NOUN
cana-1623	55	5	engineering	engineering	NOUN
cana-1623	55	6	is	be	AUX
cana-1623	55	7	reliability	reliability	NOUN
cana-1623	55	8	theory	theory	NOUN
cana-1623	55	9	.	.	PUNCT
cana-1623	56	1	reliability	reliability	NOUN
cana-1623	56	2	analysis	analysis	NOUN
cana-1623	56	3	is	be	AUX
cana-1623	56	4	vital	vital	ADJ
cana-1623	56	5	for	for	ADP
cana-1623	56	6	developing	develop	VERB
cana-1623	56	7	several	several	ADJ
cana-1623	56	8	system	system	NOUN
cana-1623	56	9	improvement	improvement	NOUN
cana-1623	56	10	alternatives	alternative	NOUN
cana-1623	56	11	during	during	ADP
cana-1623	56	12	the	the	DET
cana-1623	56	13	design	design	NOUN
cana-1623	56	14	,	,	PUNCT
cana-1623	56	15	configuration	configuration	NOUN
cana-1623	56	16	,	,	PUNCT
cana-1623	56	17	and	and	CCONJ
cana-1623	56	18	tuning	tune	VERB
cana-1623	56	19	stages	stage	NOUN
cana-1623	56	20	,	,	PUNCT
cana-1623	56	21	all	all	PRON
cana-1623	56	22	of	of	ADP
cana-1623	56	23	which	which	PRON
cana-1623	56	24	are	be	AUX
cana-1623	56	25	required	require	VERB
cana-1623	56	26	for	for	ADP
cana-1623	56	27	a	a	DET
cana-1623	56	28	complex	complex	ADJ
cana-1623	56	29	system	system	NOUN
cana-1623	56	30	to	to	PART
cana-1623	56	31	operate	operate	VERB
cana-1623	56	32	efficiently	efficiently	ADV
cana-1623	56	33	.	.	PUNCT
cana-1623	57	1	this	this	DET
cana-1623	57	2	work	work	NOUN
cana-1623	57	3	focuses	focus	VERB
cana-1623	57	4	on	on	ADP
cana-1623	57	5	estimating	estimate	VERB
cana-1623	57	6	the	the	DET
cana-1623	57	7	reliability	reliability	NOUN
cana-1623	57	8	of	of	ADP
cana-1623	57	9	a	a	DET
cana-1623	57	10	degradable	degradable	ADJ
cana-1623	57	11	system	system	NOUN
cana-1623	57	12	with	with	ADP
cana-1623	57	13	imperfect	imperfect	ADJ
cana-1623	57	14	coverage	coverage	NOUN
cana-1623	57	15	and	and	CCONJ
cana-1623	57	16	unknown	unknown	ADJ
cana-1623	57	17	information	information	NOUN
cana-1623	57	18	about	about	ADP
cana-1623	57	19	its	its	PRON
cana-1623	57	20	components[10	components[10	NOUN
cana-1623	57	21	]	]	PUNCT
cana-1623	57	22	.	.	PUNCT
cana-1623	58	1	the	the	DET
cana-1623	58	2	weibull	weibull	PROPN
cana-1623	58	3	intuitionistic	intuitionistic	ADJ
cana-1623	58	4	fuzzy	fuzzy	ADJ
cana-1623	58	5	set	set	NOUN
cana-1623	58	6	(	(	PUNCT
cana-1623	58	7	wifs	wifs	PROPN
cana-1623	58	8	)	)	PUNCT
cana-1623	58	9	idea	idea	NOUN
cana-1623	58	10	was	be	AUX
cana-1623	58	11	utilised	utilise	VERB
cana-1623	58	12	to	to	PART
cana-1623	58	13	address	address	VERB
cana-1623	58	14	data	datum	NOUN
cana-1623	58	15	uncertainty	uncertainty	NOUN
cana-1623	58	16	.	.	PUNCT
cana-1623	59	1	the	the	DET
cana-1623	59	2	trapezoidal	trapezoidal	ADJ
cana-1623	59	3	intuitionistic	intuitionistic	ADJ
cana-1623	59	4	fuzzy	fuzzy	ADJ
cana-1623	59	5	number	number	NOUN
cana-1623	59	6	(	(	PUNCT
cana-1623	59	7	trifn	trifn	NOUN
cana-1623	59	8	)	)	PUNCT
cana-1623	59	9	and	and	CCONJ
cana-1623	59	10	its	its	PRON
cana-1623	59	11	arithmetic	arithmetic	ADJ
cana-1623	59	12	operations	operation	NOUN
cana-1623	59	13	are	be	AUX
cana-1623	59	14	discussed	discuss	VERB
cana-1623	59	15	.	.	PUNCT
cana-1623	60	1	trapezoidal	trapezoidal	ADJ
cana-1623	60	2	intuitionistic	intuitionistic	ADJ
cana-1623	60	3	fuzzy	fuzzy	ADJ
cana-1623	60	4	numbers	number	NOUN
cana-1623	60	5	(	(	PUNCT
cana-1623	60	6	trifn	trifn	NOUN
cana-1623	60	7	)	)	PUNCT
cana-1623	60	8	are	be	AUX
cana-1623	60	9	used	use	VERB
cana-1623	60	10	to	to	PART
cana-1623	60	11	represent	represent	VERB
cana-1623	60	12	the	the	DET
cana-1623	60	13	failure	failure	NOUN
cana-1623	60	14	rate	rate	NOUN
cana-1623	60	15	of	of	ADP
cana-1623	60	16	the	the	DET
cana-1623	60	17	system	system	NOUN
cana-1623	60	18	.	.	PUNCT
cana-1623	61	1	simulation	simulation	NOUN
cana-1623	61	2	results	result	NOUN
cana-1623	61	3	indicate	indicate	VERB
cana-1623	61	4	that	that	SCONJ
cana-1623	61	5	bayesian	bayesian	NOUN
cana-1623	61	6	estimation	estimation	NOUN
cana-1623	61	7	outperforms	outperform	VERB
cana-1623	61	8	maximum	maximum	ADJ
cana-1623	61	9	likelihood	likelihood	NOUN
cana-1623	61	10	estimation	estimation	NOUN
cana-1623	61	11	for	for	ADP
cana-1623	61	12	estimating	estimate	VERB
cana-1623	61	13	dependability	dependability	NOUN
cana-1623	61	14	.	.	PUNCT
cana-1623	62	1	the	the	DET
cana-1623	62	2	proposed	propose	VERB
cana-1623	62	3	approaches	approach	NOUN
cana-1623	62	4	are	be	AUX
cana-1623	62	5	tested	test	VERB
cana-1623	62	6	against	against	ADP
cana-1623	62	7	real	real	ADJ
cana-1623	62	8	data	datum	NOUN
cana-1623	62	9	to	to	PART
cana-1623	62	10	demonstrate	demonstrate	VERB
cana-1623	62	11	their	their	PRON
cana-1623	62	12	usefulness	usefulness	NOUN
cana-1623	62	13	.	.	PUNCT
cana-1623	63	1	these	these	DET
cana-1623	63	2	approaches	approach	NOUN
cana-1623	63	3	reliably	reliably	ADV
cana-1623	63	4	evaluate	evaluate	VERB
cana-1623	63	5	the	the	DET
cana-1623	63	6	reliability	reliability	NOUN
cana-1623	63	7	of	of	ADP
cana-1623	63	8	intuitive	intuitive	ADJ
cana-1623	63	9	fuzzy	fuzzy	ADJ
cana-1623	63	10	life	life	NOUN
cana-1623	63	11	data	datum	NOUN
cana-1623	63	12	,	,	PUNCT
cana-1623	63	13	serving	serve	VERB
cana-1623	63	14	as	as	ADP
cana-1623	63	15	a	a	DET
cana-1623	63	16	valuable	valuable	ADJ
cana-1623	63	17	reference	reference	NOUN
cana-1623	63	18	for	for	ADP
cana-1623	63	19	reliability	reliability	NOUN
cana-1623	63	20	analysis	analysis	NOUN
cana-1623	63	21	in	in	ADP
cana-1623	63	22	science	science	NOUN
cana-1623	63	23	[	[	X
cana-1623	63	24	11	11	NUM
cana-1623	63	25	]	]	PUNCT
cana-1623	63	26	.	.	PUNCT
cana-1623	64	1	the	the	DET
cana-1623	64	2	current	current	ADJ
cana-1623	64	3	work	work	NOUN
cana-1623	64	4	used	use	VERB
cana-1623	64	5	a	a	DET
cana-1623	64	6	fuzzy	fuzzy	ADJ
cana-1623	64	7	intuitionistic	intuitionistic	ADJ
cana-1623	64	8	fuzzy	fuzzy	ADJ
cana-1623	64	9	set	set	NOUN
cana-1623	64	10	to	to	PART
cana-1623	64	11	analyze	analyze	VERB
cana-1623	64	12	the	the	DET
cana-1623	64	13	inverse	inverse	ADJ
cana-1623	64	14	weibull	weibull	NOUN
cana-1623	64	15	distribution	distribution	NOUN
cana-1623	64	16	's	's	PART
cana-1623	64	17	probability	probability	NOUN
cana-1623	64	18	density	density	NOUN
cana-1623	64	19	function	function	NOUN
cana-1623	64	20	,	,	PUNCT
cana-1623	64	21	cumulative	cumulative	ADJ
cana-1623	64	22	density	density	NOUN
cana-1623	64	23	function	function	NOUN
cana-1623	64	24	,	,	PUNCT
cana-1623	64	25	and	and	CCONJ
cana-1623	64	26	reliability	reliability	NOUN
cana-1623	64	27	estimation	estimation	NOUN
cana-1623	64	28	with	with	ADP
cana-1623	64	29	real	real	ADJ
cana-1623	64	30	-	-	PUNCT
cana-1623	64	31	time	time	NOUN
cana-1623	64	32	data	datum	NOUN
cana-1623	64	33	.	.	PUNCT
cana-1623	65	1	this	this	DET
cana-1623	65	2	study	study	NOUN
cana-1623	65	3	focused	focus	VERB
cana-1623	65	4	on	on	ADP
cana-1623	65	5	andra	andra	PROPN
cana-1623	65	6	's	's	PART
cana-1623	65	7	agriculture	agriculture	NOUN
cana-1623	65	8	in	in	ADP
cana-1623	65	9	2019	2019	NUM
cana-1623	65	10	.	.	PUNCT
cana-1623	66	1	2	2	X
cana-1623	66	2	.	.	X
cana-1623	66	3	fuzzy	fuzzy	ADJ
cana-1623	66	4	mathematical	mathematical	ADJ
cana-1623	66	5	approach	approach	NOUN
cana-1623	66	6	.	.	PUNCT
cana-1623	67	1	the	the	DET
cana-1623	67	2	probability	probability	NOUN
cana-1623	67	3	density	density	NOUN
cana-1623	67	4	function	function	NOUN
cana-1623	67	5	(	(	PUNCT
cana-1623	67	6	pdf	pdf	NOUN
cana-1623	67	7	)	)	PUNCT
cana-1623	67	8	,	,	PUNCT
cana-1623	67	9	cumulative	cumulative	ADJ
cana-1623	67	10	distribution	distribution	NOUN
cana-1623	67	11	function	function	NOUN
cana-1623	67	12	(	(	PUNCT
cana-1623	67	13	cdf	cdf	PROPN
cana-1623	67	14	)	)	PUNCT
cana-1623	67	15	,	,	PUNCT
cana-1623	67	16	and	and	CCONJ
cana-1623	67	17	reliability	reliability	NOUN
cana-1623	67	18	function	function	NOUN
cana-1623	67	19	of	of	ADP
cana-1623	67	20	iwd	iwd	PROPN
cana-1623	67	21	are	be	AUX
cana-1623	67	22	defined	define	VERB
cana-1623	67	23	as	as	SCONJ
cana-1623	67	24	follows	follow	VERB
cana-1623	67	25	:	:	PUNCT
cana-1623	67	26	𝑦(𝑡	𝑦(𝑡	NUM
cana-1623	67	27	;	;	PUNCT
cana-1623	67	28	𝜆	𝜆	X
cana-1623	67	29	,	,	PUNCT
cana-1623	67	30	𝜂	𝜂	NOUN
cana-1623	67	31	)	)	PUNCT
cana-1623	67	32	=	=	SYM
cana-1623	67	33	𝜆𝜂𝑡−𝜂−1	𝜆𝜂𝑡−𝜂−1	NOUN
cana-1623	67	34	exp(−𝜆𝑡−𝜂	exp(−𝜆𝑡−𝜂	PRON
cana-1623	67	35	)	)	PUNCT
cana-1623	67	36	,	,	PUNCT
cana-1623	67	37	𝑡	𝑡	X
cana-1623	67	38	>	>	X
cana-1623	67	39	0	0	PUNCT
cana-1623	68	1	𝑌(𝑡	𝑌(𝑡	X
cana-1623	68	2	;	;	PUNCT
cana-1623	68	3	𝜆	𝜆	X
cana-1623	68	4	,	,	PUNCT
cana-1623	68	5	𝜂	𝜂	NOUN
cana-1623	68	6	)	)	PUNCT
cana-1623	68	7	=	=	SYM
cana-1623	68	8	exp(−𝜆𝑡−𝜂	exp(−𝜆𝑡−𝜂	PROPN
cana-1623	68	9	)	)	PUNCT
cana-1623	68	10	,	,	PUNCT
cana-1623	68	11	𝑡	𝑡	X
cana-1623	68	12	>	>	X
cana-1623	68	13	0	0	PUNCT
cana-1623	68	14	𝑅(𝑡	𝑅(𝑡	NOUN
cana-1623	68	15	)	)	PUNCT
cana-1623	68	16	=	=	SYM
cana-1623	69	1	1	1	NUM
cana-1623	69	2	−	−	NUM
cana-1623	69	3	exp(−𝜆𝑡−𝜂	exp(−𝜆𝑡−𝜂	PROPN
cana-1623	69	4	)	)	PUNCT
cana-1623	69	5	,	,	PUNCT
cana-1623	69	6	𝑡	𝑡	X
cana-1623	69	7	>	>	X
cana-1623	69	8	0	0	NUM
cana-1623	69	9	where	where	SCONJ
cana-1623	69	10	𝜆	𝜆	DET
cana-1623	69	11	>	>	X
cana-1623	69	12	0	0	NUM
cana-1623	69	13	is	be	AUX
cana-1623	69	14	the	the	DET
cana-1623	69	15	scale	scale	NOUN
cana-1623	69	16	parameter	parameter	NOUN
cana-1623	69	17	and	and	CCONJ
cana-1623	69	18	𝜂	𝜂	NOUN
cana-1623	69	19	>	>	X
cana-1623	69	20	0	0	NUM
cana-1623	69	21	is	be	AUX
cana-1623	69	22	the	the	DET
cana-1623	69	23	shape	shape	NOUN
cana-1623	69	24	parameter	parameter	NOUN
cana-1623	69	25	,	,	PUNCT
cana-1623	69	26	communications	communication	NOUN
cana-1623	69	27	on	on	ADP
cana-1623	69	28	applied	apply	VERB
cana-1623	69	29	nonlinear	nonlinear	ADJ
cana-1623	69	30	analysis	analysis	NOUN
cana-1623	69	31	issn	issn	NOUN
cana-1623	69	32	:	:	PUNCT
cana-1623	69	33	1074	1074	NUM
cana-1623	69	34	-	-	PUNCT
cana-1623	69	35	133x	133x	NUM
cana-1623	69	36	vol	vol	NOUN
cana-1623	69	37	32	32	NUM
cana-1623	69	38	no	no	NOUN
cana-1623	69	39	.	.	NOUN
cana-1623	69	40	1	1	NUM
cana-1623	69	41	(	(	PUNCT
cana-1623	69	42	2025	2025	NUM
cana-1623	69	43	)	)	PUNCT
cana-1623	69	44	93	93	NUM
cana-1623	69	45	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	70	1	a	a	DET
cana-1623	70	2	fuzzy	fuzzy	ADJ
cana-1623	70	3	set	set	NOUN
cana-1623	70	4	expresses	express	VERB
cana-1623	70	5	the	the	DET
cana-1623	70	6	concept	concept	NOUN
cana-1623	70	7	of	of	ADP
cana-1623	70	8	fuzziness	fuzziness	NOUN
cana-1623	70	9	.	.	PUNCT
cana-1623	71	1	similarly	similarly	ADV
cana-1623	71	2	to	to	ADP
cana-1623	71	3	the	the	DET
cana-1623	71	4	definition	definition	NOUN
cana-1623	71	5	of	of	ADP
cana-1623	71	6	the	the	DET
cana-1623	71	7	characteristic	characteristic	ADJ
cana-1623	71	8	function	function	NOUN
cana-1623	71	9	of	of	ADP
cana-1623	71	10	a	a	DET
cana-1623	71	11	classical	classical	ADJ
cana-1623	71	12	set	set	NOUN
cana-1623	71	13	,	,	PUNCT
cana-1623	71	14	the	the	DET
cana-1623	71	15	definition	definition	NOUN
cana-1623	71	16	of	of	ADP
cana-1623	71	17	a	a	DET
cana-1623	71	18	fuzzy	fuzzy	ADJ
cana-1623	71	19	set	set	NOUN
cana-1623	71	20	can	can	AUX
cana-1623	71	21	be	be	AUX
cana-1623	71	22	achieved	achieve	VERB
cana-1623	71	23	by	by	ADP
cana-1623	71	24	expanding	expand	VERB
cana-1623	71	25	its	its	PRON
cana-1623	71	26	domain	domain	NOUN
cana-1623	71	27	.	.	PUNCT
cana-1623	72	1	definition	definition	NOUN
cana-1623	72	2	2.1	2.1	NUM
cana-1623	72	3	let	let	VERB
cana-1623	72	4	t	t	PROPN
cana-1623	72	5	represent	represent	VERB
cana-1623	72	6	a	a	DET
cana-1623	72	7	non	non	ADJ
cana-1623	72	8	-	-	ADJ
cana-1623	72	9	empty	empty	ADJ
cana-1623	72	10	universal	universal	ADJ
cana-1623	72	11	set	set	NOUN
cana-1623	72	12	.	.	PUNCT
cana-1623	73	1	the	the	DET
cana-1623	73	2	fuzzy	fuzzy	ADJ
cana-1623	73	3	set	set	VERB
cana-1623	73	4	�	�	PROPN
cana-1623	73	5	̃	̃	PROPN
cana-1623	73	6	�	�	PROPN
cana-1623	73	7	is	be	AUX
cana-1623	73	8	defined	define	VERB
cana-1623	73	9	as	as	ADP
cana-1623	73	10	�	�	PROPN
cana-1623	73	11	̃	̃	PROPN
cana-1623	73	12	�	�	NOUN
cana-1623	73	13	=	=	SYM
cana-1623	73	14	{	{	PUNCT
cana-1623	73	15	<	<	X
cana-1623	73	16	𝑡	𝑡	PROPN
cana-1623	73	17	,	,	PUNCT
cana-1623	73	18	𝜇	𝜇	ADP
cana-1623	73	19	�	�	PROPN
cana-1623	73	20	̃	̃	PROPN
cana-1623	73	21	�	�	PROPN
cana-1623	73	22	(𝑡)⟩	(𝑡)⟩	PROPN
cana-1623	73	23	∣	∣	PROPN
cana-1623	73	24	𝑡	𝑡	PROPN
cana-1623	73	25	∈	∈	PROPN
cana-1623	73	26	𝕋	𝕋	PROPN
cana-1623	73	27	}	}	PUNCT
cana-1623	73	28	,	,	PUNCT
cana-1623	73	29	where	where	SCONJ
cana-1623	73	30	𝜇	𝜇	ADP
cana-1623	73	31	�	�	PROPN
cana-1623	73	32	̃	̃	NOUN
cana-1623	73	33	�	�	NOUN
cana-1623	73	34	:	:	PUNCT
cana-1623	73	35	𝕋	𝕋	PROPN
cana-1623	73	36	→	→	SYM
cana-1623	73	37	[	[	X
cana-1623	73	38	0,1	0,1	NUM
cana-1623	73	39	]	]	PUNCT
cana-1623	73	40	]	]	PUNCT
cana-1623	73	41	represents	represent	VERB
cana-1623	73	42	the	the	DET
cana-1623	73	43	degree	degree	NOUN
cana-1623	73	44	of	of	ADP
cana-1623	73	45	membership	membership	NOUN
cana-1623	73	46	of	of	ADP
cana-1623	73	47	t	t	PROPN
cana-1623	73	48	in	in	ADP
cana-1623	73	49	�	�	PROPN
cana-1623	73	50	̃	̃	PROPN
cana-1623	73	51	�	�	PROPN
cana-1623	73	52	.	.	PUNCT
cana-1623	73	53	.	.	PUNCT
cana-1623	74	1	definition	definition	NOUN
cana-1623	74	2	2.2	2.2	NUM
cana-1623	74	3	let	let	VERB
cana-1623	74	4	t	t	PROPN
cana-1623	74	5	represent	represent	VERB
cana-1623	74	6	a	a	DET
cana-1623	74	7	non	non	ADJ
cana-1623	74	8	-	-	ADJ
cana-1623	74	9	empty	empty	ADJ
cana-1623	74	10	universal	universal	ADJ
cana-1623	74	11	set	set	NOUN
cana-1623	74	12	.	.	PUNCT
cana-1623	75	1	ifs	ifs	PROPN
cana-1623	75	2	a	a	DET
cana-1623	75	3	̃	̃	PROPN
cana-1623	75	4	is	be	AUX
cana-1623	75	5	defined	define	VERB
cana-1623	75	6	as	as	ADP
cana-1623	75	7	�	�	PROPN
cana-1623	75	8	̃	̃	PROPN
cana-1623	75	9	�	�	NOUN
cana-1623	75	10	=	=	SYM
cana-1623	75	11	{	{	PUNCT
cana-1623	75	12	⟨𝑡	⟨𝑡	NOUN
cana-1623	75	13	,	,	PUNCT
cana-1623	75	14	𝜇	𝜇	ADP
cana-1623	75	15	�	�	PROPN
cana-1623	75	16	̃	̃	NOUN
cana-1623	75	17	�	�	NOUN
cana-1623	75	18	(𝑡	(𝑡	NOUN
cana-1623	75	19	)	)	PUNCT
cana-1623	75	20	,	,	PUNCT
cana-1623	75	21	𝑣	𝑣	PROPN
cana-1623	75	22	�	�	PROPN
cana-1623	75	23	̃	̃	PROPN
cana-1623	75	24	�	�	PROPN
cana-1623	75	25	(𝑡	(𝑡	NOUN
cana-1623	75	26	)	)	PUNCT
cana-1623	75	27	>	>	PUNCT
cana-1623	75	28	|𝑡	|𝑡	X
cana-1623	75	29	∈	∈	PROPN
cana-1623	75	30	𝕋	𝕋	PROPN
cana-1623	75	31	}	}	PUNCT
cana-1623	75	32	,	,	PUNCT
cana-1623	75	33	where	where	SCONJ
cana-1623	75	34	𝜇	𝜇	ADP
cana-1623	75	35	�	�	PROPN
cana-1623	75	36	̃	̃	NOUN
cana-1623	75	37	�	�	NOUN
cana-1623	75	38	:	:	PUNCT
cana-1623	75	39	𝕋	𝕋	PROPN
cana-1623	75	40	→	→	SYM
cana-1623	75	41	[	[	X
cana-1623	75	42	0,1	0,1	NUM
cana-1623	75	43	]	]	PUNCT
cana-1623	75	44	is	be	AUX
cana-1623	75	45	the	the	DET
cana-1623	75	46	degree	degree	NOUN
cana-1623	75	47	of	of	ADP
cana-1623	75	48	membership	membership	NOUN
cana-1623	75	49	of	of	ADP
cana-1623	75	50	t	t	PROPN
cana-1623	75	51	in	in	ADP
cana-1623	75	52	�	�	PROPN
cana-1623	75	53	̃	̃	PROPN
cana-1623	75	54	�	�	PROPN
cana-1623	75	55	and	and	CCONJ
cana-1623	75	56	𝑣	𝑣	ADP
cana-1623	75	57	�	�	PROPN
cana-1623	75	58	̃	̃	NOUN
cana-1623	75	59	�	�	PROPN
cana-1623	75	60	:	:	PUNCT
cana-1623	75	61	𝕋	𝕋	PROPN
cana-1623	75	62	→	→	SYM
cana-1623	75	63	[	[	X
cana-1623	75	64	0,1	0,1	NUM
cana-1623	75	65	]	]	PUNCT
cana-1623	75	66	is	be	AUX
cana-1623	75	67	the	the	DET
cana-1623	75	68	degree	degree	NOUN
cana-1623	75	69	of	of	ADP
cana-1623	75	70	nonmembership	nonmembership	NOUN
cana-1623	75	71	of	of	ADP
cana-1623	75	72	t	t	PROPN
cana-1623	75	73	in	in	ADP
cana-1623	75	74	�	�	PROPN
cana-1623	75	75	̃	̃	PROPN
cana-1623	75	76	�	�	PROPN
cana-1623	75	77	.	.	PUNCT
cana-1623	76	1	they	they	PRON
cana-1623	76	2	satisfy	satisfy	VERB
cana-1623	76	3	0	0	NUM
cana-1623	76	4	≤	≤	PROPN
cana-1623	76	5	𝜇	𝜇	ADP
cana-1623	76	6	�	�	PROPN
cana-1623	76	7	̃	̃	NOUN
cana-1623	76	8	�	�	NOUN
cana-1623	76	9	(𝑡	(𝑡	NOUN
cana-1623	76	10	)	)	PUNCT
cana-1623	77	1	+	+	CCONJ
cana-1623	77	2	𝑣	𝑣	PRON
cana-1623	77	3	�	�	PROPN
cana-1623	77	4	̃	̃	PROPN
cana-1623	77	5	�	�	PROPN
cana-1623	77	6	(𝑡	(𝑡	NOUN
cana-1623	77	7	)	)	PUNCT
cana-1623	77	8	≤	≤	NOUN
cana-1623	77	9	1	1	NUM
cana-1623	77	10	for	for	ADP
cana-1623	77	11	each	each	DET
cana-1623	77	12	t.	t.	NOUN
cana-1623	77	13	when	when	SCONJ
cana-1623	77	14	t	t	PROPN
cana-1623	77	15	has	have	VERB
cana-1623	77	16	only	only	ADV
cana-1623	77	17	one	one	NUM
cana-1623	77	18	element	element	NOUN
cana-1623	77	19	,	,	PUNCT
cana-1623	77	20	�	�	PROPN
cana-1623	77	21	̃	̃	NOUN
cana-1623	77	22	�	�	NOUN
cana-1623	78	1	=	=	PROPN
cana-1623	78	2	<	<	X
cana-1623	78	3	𝜇	𝜇	PART
cana-1623	78	4	�	�	PROPN
cana-1623	78	5	̃	̃	NOUN
cana-1623	78	6	�	�	PROPN
cana-1623	78	7	,	,	PUNCT
cana-1623	78	8	𝑣	𝑣	PROPN
cana-1623	78	9	�	�	PROPN
cana-1623	78	10	̃	̃	NOUN
cana-1623	78	11	�	�	PROPN
cana-1623	78	12	>	>	X
cana-1623	78	13	is	be	AUX
cana-1623	78	14	frequently	frequently	ADV
cana-1623	78	15	referred	refer	VERB
cana-1623	78	16	to	to	ADP
cana-1623	78	17	as	as	ADP
cana-1623	78	18	intuitionistic	intuitionistic	ADJ
cana-1623	78	19	fuzzy	fuzzy	ADJ
cana-1623	78	20	number	number	NOUN
cana-1623	78	21	.	.	PUNCT
cana-1623	79	1	the	the	DET
cana-1623	79	2	membership	membership	NOUN
cana-1623	79	3	and	and	CCONJ
cana-1623	79	4	non	non	ADJ
cana-1623	79	5	-	-	ADJ
cana-1623	79	6	membership	membership	ADJ
cana-1623	79	7	functions	function	NOUN
cana-1623	79	8	are	be	AUX
cana-1623	79	9	:	:	PUNCT
cana-1623	79	10	𝜇ã(𝑡	𝜇ã(𝑡	NOUN
cana-1623	79	11	)	)	PUNCT
cana-1623	79	12	=	=	PRON
cana-1623	79	13	{	{	PUNCT
cana-1623	79	14	𝛼	𝛼	NOUN
cana-1623	79	15	𝑡	𝑡	NOUN
cana-1623	79	16	−	−	PROPN
cana-1623	79	17	𝑎	𝑎	NOUN
cana-1623	79	18	𝑏	𝑏	NOUN
cana-1623	79	19	−	−	PROPN
cana-1623	79	20	𝑎	𝑎	PUNCT
cana-1623	79	21	𝑡	𝑡	X
cana-1623	79	22	∈	∈	PROPN
cana-1623	80	1	[	[	X
cana-1623	80	2	𝑎	𝑎	X
cana-1623	80	3	,	,	PUNCT
cana-1623	80	4	𝑏	𝑏	NOUN
cana-1623	80	5	]	]	X
cana-1623	80	6	𝛼	𝛼	NUM
cana-1623	80	7	𝑡	𝑡	NOUN
cana-1623	80	8	∈	∈	PROPN
cana-1623	80	9	(	(	PUNCT
cana-1623	80	10	𝑏	𝑏	NOUN
cana-1623	80	11	,	,	PUNCT
cana-1623	80	12	𝑐	𝑐	NOUN
cana-1623	80	13	)	)	PUNCT
cana-1623	80	14	𝛼	𝛼	PROPN
cana-1623	80	15	𝑑	𝑑	NOUN
cana-1623	80	16	−	−	PROPN
cana-1623	80	17	𝑡	𝑡	PROPN
cana-1623	80	18	𝑑	𝑑	PROPN
cana-1623	80	19	−	−	PROPN
cana-1623	80	20	𝑐	𝑐	PROPN
cana-1623	80	21	𝑡	𝑡	PROPN
cana-1623	80	22	∈	∈	PROPN
cana-1623	81	1	[	[	X
cana-1623	81	2	𝑐	𝑐	NOUN
cana-1623	81	3	,	,	PUNCT
cana-1623	81	4	𝑑	𝑑	NOUN
cana-1623	81	5	]	]	X
cana-1623	81	6	0	0	NUM
cana-1623	81	7	else	else	ADV
cana-1623	81	8	𝑣ã(𝑡	𝑣ã(𝑡	NOUN
cana-1623	81	9	)	)	PUNCT
cana-1623	81	10	=	=	PRON
cana-1623	81	11	{	{	PUNCT
cana-1623	82	1	𝑏	𝑏	NOUN
cana-1623	82	2	−	−	PROPN
cana-1623	82	3	𝑡	𝑡	PROPN
cana-1623	83	1	𝑏	𝑏	NOUN
cana-1623	83	2	−	−	PROPN
cana-1623	83	3	𝑎	𝑎	PROPN
cana-1623	83	4	+	+	X
cana-1623	83	5	𝛽	𝛽	NOUN
cana-1623	83	6	𝑡	𝑡	NOUN
cana-1623	83	7	−	−	NUM
cana-1623	83	8	𝑎	𝑎	NOUN
cana-1623	83	9	𝑏	𝑏	NOUN
cana-1623	83	10	−	−	PROPN
cana-1623	83	11	𝑎	𝑎	PUNCT
cana-1623	83	12	𝑡	𝑡	X
cana-1623	83	13	∈	∈	PROPN
cana-1623	83	14	[	[	X
cana-1623	83	15	𝑎	𝑎	X
cana-1623	83	16	,	,	PUNCT
cana-1623	83	17	𝑏	𝑏	NOUN
cana-1623	83	18	]	]	X
cana-1623	83	19	𝛽	𝛽	NOUN
cana-1623	83	20	𝑡this	𝑡thi	VERB
cana-1623	83	21	∈	∈	NOUN
cana-1623	83	22	(	(	PUNCT
cana-1623	83	23	𝑏	𝑏	NOUN
cana-1623	83	24	,	,	PUNCT
cana-1623	83	25	𝑐	𝑐	NOUN
cana-1623	83	26	)	)	PUNCT
cana-1623	83	27	𝑡	𝑡	NOUN
cana-1623	83	28	−	−	PROPN
cana-1623	83	29	𝑐	𝑐	PROPN
cana-1623	83	30	𝑑	𝑑	PRON
cana-1623	83	31	−	−	PROPN
cana-1623	83	32	𝑐	𝑐	PROPN
cana-1623	83	33	+	+	NUM
cana-1623	83	34	𝛽	𝛽	PROPN
cana-1623	83	35	𝑑	𝑑	PRON
cana-1623	83	36	−	−	PROPN
cana-1623	83	37	𝑡	𝑡	PROPN
cana-1623	83	38	𝑑	𝑑	PROPN
cana-1623	83	39	−	−	PROPN
cana-1623	83	40	𝑐	𝑐	PROPN
cana-1623	83	41	𝑡	𝑡	PROPN
cana-1623	83	42	∈	∈	PROPN
cana-1623	84	1	[	[	X
cana-1623	84	2	𝑐	𝑐	NOUN
cana-1623	84	3	,	,	PUNCT
cana-1623	84	4	𝑑	𝑑	NOUN
cana-1623	84	5	]	]	X
cana-1623	84	6	1	1	NUM
cana-1623	84	7	else	else	ADV
cana-1623	84	8	where	where	SCONJ
cana-1623	84	9	α	α	NOUN
cana-1623	84	10	is	be	AUX
cana-1623	84	11	the	the	DET
cana-1623	84	12	maximum	maximum	ADJ
cana-1623	84	13	membership	membership	NOUN
cana-1623	84	14	degree	degree	NOUN
cana-1623	84	15	and	and	CCONJ
cana-1623	84	16	β	β	X
cana-1623	84	17	is	be	AUX
cana-1623	84	18	the	the	DET
cana-1623	84	19	minimum	minimum	ADJ
cana-1623	84	20	membership	membership	NOUN
cana-1623	84	21	degree	degree	NOUN
cana-1623	84	22	.	.	PUNCT
cana-1623	85	1	in	in	ADP
cana-1623	85	2	paper	paper	NOUN
cana-1623	85	3	,	,	PUNCT
cana-1623	85	4	we	we	PRON
cana-1623	85	5	assume	assume	VERB
cana-1623	85	6	t	t	PROPN
cana-1623	85	7	be	be	AUX
cana-1623	85	8	a	a	DET
cana-1623	85	9	set	set	NOUN
cana-1623	85	10	of	of	ADP
cana-1623	85	11	real	real	ADJ
cana-1623	85	12	numbers	number	NOUN
cana-1623	85	13	,	,	PUNCT
cana-1623	85	14	which	which	PRON
cana-1623	85	15	is	be	AUX
cana-1623	85	16	t	t	PROPN
cana-1623	85	17	=	=	PROPN
cana-1623	85	18	r.	r.	PROPN
cana-1623	85	19	additionally	additionally	ADV
cana-1623	85	20	,	,	PUNCT
cana-1623	85	21	we	we	PRON
cana-1623	85	22	assumed	assume	VERB
cana-1623	85	23	that	that	SCONJ
cana-1623	85	24	the	the	DET
cana-1623	85	25	ifss	ifss	NOUN
cana-1623	85	26	discussed	discuss	VERB
cana-1623	85	27	in	in	ADP
cana-1623	85	28	this	this	DET
cana-1623	85	29	paper	paper	NOUN
cana-1623	85	30	were	be	AUX
cana-1623	85	31	traifns	traifns	NOUN
cana-1623	85	32	.	.	PUNCT
cana-1623	85	33	to	to	PART
cana-1623	85	34	better	well	ADV
cana-1623	85	35	investigate	investigate	VERB
cana-1623	85	36	the	the	DET
cana-1623	85	37	estimation	estimation	NOUN
cana-1623	85	38	problem	problem	NOUN
cana-1623	85	39	on	on	ADP
cana-1623	85	40	the	the	DET
cana-1623	85	41	basis	basis	NOUN
cana-1623	85	42	of	of	ADP
cana-1623	85	43	intuitionistic	intuitionistic	ADJ
cana-1623	85	44	fuzzy	fuzzy	ADJ
cana-1623	85	45	data	datum	NOUN
cana-1623	85	46	,	,	PUNCT
cana-1623	85	47	some	some	DET
cana-1623	85	48	concepts	concept	NOUN
cana-1623	85	49	in	in	ADP
cana-1623	85	50	the	the	DET
cana-1623	85	51	probability	probability	NOUN
cana-1623	85	52	theory	theory	NOUN
cana-1623	85	53	were	be	AUX
cana-1623	85	54	extended	extend	VERB
cana-1623	85	55	to	to	ADP
cana-1623	85	56	intuitionistic	intuitionistic	ADJ
cana-1623	85	57	fuzzy	fuzzy	ADJ
cana-1623	85	58	random	random	ADJ
cana-1623	85	59	variables	variable	NOUN
cana-1623	85	60	.	.	PUNCT
cana-1623	86	1	definition	definition	NOUN
cana-1623	86	2	2.3	2.3	NUM
cana-1623	86	3	consider	consider	VERB
cana-1623	86	4	a	a	DET
cana-1623	86	5	probability	probability	NOUN
cana-1623	86	6	space	space	NOUN
cana-1623	86	7	(	(	PUNCT
cana-1623	86	8	ℝ𝑛	ℝ𝑛	PROPN
cana-1623	86	9	,	,	PUNCT
cana-1623	86	10	𝔄	𝔄	PROPN
cana-1623	86	11	,	,	PUNCT
cana-1623	86	12	𝒫	𝒫	PROPN
cana-1623	86	13	)	)	PUNCT
cana-1623	86	14	,	,	PUNCT
cana-1623	86	15	the	the	DET
cana-1623	86	16	probability	probability	NOUN
cana-1623	86	17	of	of	ADP
cana-1623	86	18	an	an	DET
cana-1623	86	19	intuitionistic	intuitionistic	ADJ
cana-1623	86	20	fuzzy	fuzzy	ADJ
cana-1623	86	21	observation	observation	NOUN
cana-1623	86	22	�	�	PROPN
cana-1623	86	23	̃	̃	PROPN
cana-1623	86	24	�	�	PROPN
cana-1623	86	25	in	in	ADP
cana-1623	86	26	ℝ𝑛	ℝ𝑛	PROPN
cana-1623	86	27	is	be	AUX
cana-1623	86	28	defined	define	VERB
cana-1623	86	29	as	as	ADP
cana-1623	86	30	𝑃(	𝑃(	ADJ
cana-1623	86	31	�	�	PROPN
cana-1623	86	32	̃	̃	PROPN
cana-1623	86	33	�	�	PROPN
cana-1623	86	34	)	)	PUNCT
cana-1623	86	35	=	=	SYM
cana-1623	87	1	∫	∫	PROPN
cana-1623	87	2	  	  	SPACE
cana-1623	88	1	ℝ𝑛	ℝ𝑛	ADV
cana-1623	88	2	  	  	SPACE
cana-1623	88	3	1	1	NUM
cana-1623	88	4	−	−	PROPN
cana-1623	88	5	𝑣	𝑣	PRON
cana-1623	88	6	�	�	PROPN
cana-1623	88	7	̃	̃	PROPN
cana-1623	88	8	�	�	NOUN
cana-1623	88	9	(𝑡	(𝑡	NOUN
cana-1623	88	10	)	)	PUNCT
cana-1623	88	11	+	+	CCONJ
cana-1623	88	12	𝜇	𝜇	PRON
cana-1623	88	13	�	�	PROPN
cana-1623	88	14	̃	̃	NOUN
cana-1623	88	15	�	�	NOUN
cana-1623	88	16	(𝑡	(𝑡	NOUN
cana-1623	88	17	)	)	PUNCT
cana-1623	88	18	2	2	NUM
cana-1623	88	19	𝑑𝒫	𝑑𝒫	NOUN
cana-1623	88	20	the	the	DET
cana-1623	88	21	continuous	continuous	ADJ
cana-1623	88	22	random	random	ADJ
cana-1623	88	23	variable	variable	NOUN
cana-1623	88	24	𝑇	𝑇	PROPN
cana-1623	88	25	=	=	SYM
cana-1623	88	26	(	(	PUNCT
cana-1623	88	27	𝑇1	𝑇1	PROPN
cana-1623	88	28	,	,	PUNCT
cana-1623	88	29	𝑇2	𝑇2	NOUN
cana-1623	88	30	,	,	PUNCT
cana-1623	88	31	…	…	PUNCT
cana-1623	88	32	,	,	PUNCT
cana-1623	88	33	𝑇𝑛	𝑇𝑛	PROPN
cana-1623	88	34	)	)	PUNCT
cana-1623	88	35	follows	follow	VERB
cana-1623	88	36	the	the	DET
cana-1623	88	37	iw	iw	PROPN
cana-1623	88	38	(	(	PUNCT
cana-1623	88	39	𝜆	𝜆	NOUN
cana-1623	88	40	,	,	PUNCT
cana-1623	88	41	𝜂	𝜂	NOUN
cana-1623	88	42	)	)	PUNCT
cana-1623	88	43	,	,	PUNCT
cana-1623	88	44	and	and	CCONJ
cana-1623	88	45	its	its	PRON
cana-1623	88	46	intuitionistic	intuitionistic	ADJ
cana-1623	88	47	fuzzy	fuzzy	ADJ
cana-1623	88	48	observations	observation	NOUN
cana-1623	88	49	are	be	AUX
cana-1623	88	50	denoted	denote	VERB
cana-1623	88	51	by	by	ADP
cana-1623	88	52	�	�	PROPN
cana-1623	88	53	̃	̃	PROPN
cana-1623	88	54	�	�	NOUN
cana-1623	88	55	=	=	SYM
cana-1623	88	56	(	(	PUNCT
cana-1623	88	57	�	�	PROPN
cana-1623	88	58	̃	̃	NOUN
cana-1623	88	59	�	�	NOUN
cana-1623	88	60	1	1	NUM
cana-1623	88	61	,	,	PUNCT
cana-1623	88	62	�	�	PROPN
cana-1623	88	63	̃	̃	NOUN
cana-1623	88	64	�	�	NOUN
cana-1623	88	65	2	2	NUM
cana-1623	88	66	,	,	PUNCT
cana-1623	88	67	…	…	PUNCT
cana-1623	88	68	,	,	PUNCT
cana-1623	88	69	�	�	PROPN
cana-1623	88	70	̃	̃	PROPN
cana-1623	88	71	�	�	NOUN
cana-1623	88	72	𝑛	𝑛	NOUN
cana-1623	88	73	)	)	PUNCT
cana-1623	88	74	.	.	PUNCT
cana-1623	89	1	the	the	DET
cana-1623	89	2	conditional	conditional	ADJ
cana-1623	89	3	density	density	NOUN
cana-1623	89	4	of	of	ADP
cana-1623	89	5	random	random	ADJ
cana-1623	89	6	variables	variable	NOUN
cana-1623	89	7	in	in	ADP
cana-1623	89	8	probability	probability	NOUN
cana-1623	89	9	theory	theory	NOUN
cana-1623	89	10	is	be	AUX
cana-1623	89	11	introduced	introduce	VERB
cana-1623	89	12	,	,	PUNCT
cana-1623	89	13	and	and	CCONJ
cana-1623	89	14	the	the	DET
cana-1623	89	15	intuitionistic	intuitionistic	ADJ
cana-1623	89	16	fuzzy	fuzzy	ADJ
cana-1623	89	17	conditional	conditional	ADJ
cana-1623	89	18	density	density	NOUN
cana-1623	89	19	is	be	AUX
cana-1623	89	20	given	give	VERB
cana-1623	89	21	as	as	SCONJ
cana-1623	89	22	follows	follow	VERB
cana-1623	89	23	:	:	PUNCT
cana-1623	89	24	communications	communication	NOUN
cana-1623	89	25	on	on	ADP
cana-1623	89	26	applied	apply	VERB
cana-1623	89	27	nonlinear	nonlinear	ADJ
cana-1623	89	28	analysis	analysis	NOUN
cana-1623	89	29	issn	issn	NOUN
cana-1623	89	30	:	:	PUNCT
cana-1623	89	31	1074	1074	NUM
cana-1623	89	32	-	-	PUNCT
cana-1623	89	33	133x	133x	NUM
cana-1623	89	34	vol	vol	NOUN
cana-1623	89	35	32	32	NUM
cana-1623	89	36	no	no	NOUN
cana-1623	89	37	.	.	NOUN
cana-1623	89	38	1	1	NUM
cana-1623	89	39	(	(	PUNCT
cana-1623	89	40	2025	2025	NUM
cana-1623	89	41	)	)	PUNCT
cana-1623	89	42	94	94	NUM
cana-1623	90	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	90	2	𝑦(𝑡	𝑦(𝑡	PROPN
cana-1623	90	3	∣	∣	PROPN
cana-1623	90	4	�	�	PROPN
cana-1623	90	5	̃	̃	PROPN
cana-1623	90	6	�	�	PROPN
cana-1623	90	7	)	)	PUNCT
cana-1623	90	8	=	=	SYM
cana-1623	90	9	𝑠(𝑡)𝑦(𝑡	𝑠(𝑡)𝑦(𝑡	NUM
cana-1623	90	10	;	;	PUNCT
cana-1623	90	11	𝜆	𝜆	X
cana-1623	90	12	,	,	PUNCT
cana-1623	90	13	𝜂	𝜂	NOUN
cana-1623	90	14	)	)	PUNCT
cana-1623	90	15	∫	∫	NOUN
cana-1623	90	16	  	  	SPACE
cana-1623	90	17	ℝ	ℝ	PROPN
cana-1623	90	18	 	 	SPACE
cana-1623	90	19	𝑠(𝑡)𝑦(𝑡	𝑠(𝑡)𝑦(𝑡	NUM
cana-1623	90	20	;	;	PUNCT
cana-1623	90	21	𝜆	𝜆	X
cana-1623	90	22	,	,	PUNCT
cana-1623	90	23	𝜂)𝑑𝑡	𝜂)𝑑𝑡	PROPN
cana-1623	90	24	where	where	SCONJ
cana-1623	90	25	𝑠(𝑡	𝑠(𝑡	PROPN
cana-1623	90	26	)	)	PUNCT
cana-1623	91	1	=	=	SYM
cana-1623	92	1	1−𝑣	1−𝑣	NUM
cana-1623	92	2	�	�	PROPN
cana-1623	92	3	̃	̃	PROPN
cana-1623	92	4	�	�	PROPN
cana-1623	92	5	(𝑡)+𝜇	(𝑡)+𝜇	PROPN
cana-1623	92	6	�	�	PROPN
cana-1623	92	7	̃	̃	PROPN
cana-1623	92	8	�	�	PROPN
cana-1623	92	9	(𝑡	(𝑡	NOUN
cana-1623	92	10	)	)	PUNCT
cana-1623	92	11	2	2	NUM
cana-1623	92	12	.	.	PUNCT
cana-1623	93	1	in	in	ADP
cana-1623	93	2	this	this	DET
cana-1623	93	3	case	case	NOUN
cana-1623	93	4	,	,	PUNCT
cana-1623	93	5	the	the	DET
cana-1623	93	6	intuitionistic	intuitionistic	ADJ
cana-1623	93	7	fuzzy	fuzzy	ADJ
cana-1623	93	8	likelihood	likelihood	NOUN
cana-1623	93	9	function	function	NOUN
cana-1623	93	10	of	of	ADP
cana-1623	93	11	iw⁡(𝜆	iw⁡(𝜆	PROPN
cana-1623	93	12	,	,	PUNCT
cana-1623	93	13	𝜂	𝜂	NOUN
cana-1623	93	14	)	)	PUNCT
cana-1623	93	15	is	be	AUX
cana-1623	93	16	:	:	PUNCT
cana-1623	93	17	ℎ(𝜆	ℎ(𝜆	NOUN
cana-1623	93	18	,	,	PUNCT
cana-1623	93	19	𝜂	𝜂	PROPN
cana-1623	93	20	∣	∣	PROPN
cana-1623	93	21	�	�	PROPN
cana-1623	93	22	̃	̃	PROPN
cana-1623	93	23	�	�	PROPN
cana-1623	93	24	)	)	PUNCT
cana-1623	93	25	=	=	SYM
cana-1623	93	26	∏	∏	X
cana-1623	93	27	  	  	SPACE
cana-1623	93	28	𝑛	𝑛	PRON
cana-1623	93	29	𝑖=1	𝑖=1	PROPN
cana-1623	93	30	 	 	SPACE
cana-1623	93	31	𝑃(	𝑃(	X
cana-1623	93	32	�	�	PROPN
cana-1623	93	33	̃	̃	PROPN
cana-1623	93	34	�	�	PROPN
cana-1623	93	35	𝑖	𝑖	PROPN
cana-1623	93	36	∣	∣	PROPN
cana-1623	93	37	𝜆	𝜆	NOUN
cana-1623	93	38	,	,	PUNCT
cana-1623	93	39	𝜂	𝜂	NOUN
cana-1623	93	40	)	)	PUNCT
cana-1623	93	41	=	=	NOUN
cana-1623	93	42	∏	∏	NUM
cana-1623	93	43	  	  	SPACE
cana-1623	93	44	𝑛	𝑛	PRON
cana-1623	93	45	𝑖=1	𝑖=1	PROPN
cana-1623	93	46	 	 	SPACE
cana-1623	93	47	∫	∫	PROPN
cana-1623	93	48	  	  	SPACE
cana-1623	93	49	ℝ	ℝ	PROPN
cana-1623	93	50	  	  	SPACE
cana-1623	93	51	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	93	52	;	;	PUNCT
cana-1623	93	53	𝜆	𝜆	X
cana-1623	93	54	,	,	PUNCT
cana-1623	93	55	𝜂)𝑑𝑡	𝜂)𝑑𝑡	PROPN
cana-1623	93	56	where	where	SCONJ
cana-1623	93	57	𝑠𝑖(𝑡	𝑠𝑖(𝑡	VERB
cana-1623	93	58	)	)	PUNCT
cana-1623	93	59	=	=	SYM
cana-1623	93	60	1−𝑣	1−𝑣	NUM
cana-1623	93	61	�	�	PROPN
cana-1623	93	62	̃	̃	PROPN
cana-1623	93	63	�	�	PROPN
cana-1623	93	64	𝑖(𝑡)+𝜇	𝑖(𝑡)+𝜇	NUM
cana-1623	93	65	�	�	PROPN
cana-1623	93	66	̃	̃	PROPN
cana-1623	93	67	�	�	NOUN
cana-1623	93	68	𝑖(𝑡	𝑖(𝑡	NUM
cana-1623	93	69	)	)	PUNCT
cana-1623	93	70	2	2	NUM
cana-1623	93	71	.	.	PUNCT
cana-1623	94	1	finally	finally	ADV
cana-1623	94	2	,	,	PUNCT
cana-1623	94	3	intuitionistic	intuitionistic	ADJ
cana-1623	94	4	fuzzy	fuzzy	ADJ
cana-1623	94	5	conditional	conditional	ADJ
cana-1623	94	6	expectation	expectation	NOUN
cana-1623	94	7	is	be	AUX
cana-1623	94	8	defined	define	VERB
cana-1623	94	9	.	.	PUNCT
cana-1623	95	1	using	use	VERB
cana-1623	95	2	the	the	DET
cana-1623	95	3	intuitionistic	intuitionistic	ADJ
cana-1623	95	4	fuzzy	fuzzy	ADJ
cana-1623	95	5	conditional	conditional	ADJ
cana-1623	95	6	density	density	NOUN
cana-1623	95	7	and	and	CCONJ
cana-1623	95	8	observation	observation	NOUN
cana-1623	95	9	�	�	PROPN
cana-1623	95	10	̃	̃	PROPN
cana-1623	95	11	�	�	PROPN
cana-1623	95	12	=	=	SYM
cana-1623	95	13	(	(	PUNCT
cana-1623	95	14	�	�	PROPN
cana-1623	95	15	̃	̃	NOUN
cana-1623	95	16	�	�	NOUN
cana-1623	95	17	1	1	NUM
cana-1623	95	18	,	,	PUNCT
cana-1623	95	19	�	�	PROPN
cana-1623	95	20	̃	̃	NOUN
cana-1623	95	21	�	�	NOUN
cana-1623	95	22	2	2	NUM
cana-1623	95	23	,	,	PUNCT
cana-1623	95	24	…	…	PUNCT
cana-1623	95	25	,	,	PUNCT
cana-1623	95	26	�	�	PROPN
cana-1623	95	27	̃	̃	PROPN
cana-1623	95	28	�	�	NOUN
cana-1623	95	29	𝑛	𝑛	NOUN
cana-1623	95	30	)	)	PUNCT
cana-1623	95	31	,	,	PUNCT
cana-1623	95	32	the	the	DET
cana-1623	95	33	intuitionistic	intuitionistic	ADJ
cana-1623	95	34	fuzzy	fuzzy	ADJ
cana-1623	95	35	conditional	conditional	ADJ
cana-1623	95	36	expectation	expectation	NOUN
cana-1623	95	37	of	of	ADP
cana-1623	95	38	a	a	DET
cana-1623	95	39	random	random	ADJ
cana-1623	95	40	variable	variable	NOUN
cana-1623	95	41	𝑇	𝑇	PROPN
cana-1623	95	42	=	=	SYM
cana-1623	95	43	(	(	PUNCT
cana-1623	95	44	𝑇1	𝑇1	PROPN
cana-1623	95	45	,	,	PUNCT
cana-1623	95	46	𝑇2	𝑇2	NOUN
cana-1623	95	47	,	,	PUNCT
cana-1623	95	48	…	…	PUNCT
cana-1623	95	49	,	,	PUNCT
cana-1623	95	50	𝑇𝑛	𝑇𝑛	NOUN
cana-1623	95	51	)	)	PUNCT
cana-1623	95	52	is	be	AUX
cana-1623	95	53	:	:	PUNCT
cana-1623	95	54	𝐸(𝑇	𝐸(𝑇	PROPN
cana-1623	95	55	∣	∣	PROPN
cana-1623	95	56	�	�	PROPN
cana-1623	95	57	̃	̃	PROPN
cana-1623	95	58	�	�	PROPN
cana-1623	95	59	)=	)=	PROPN
cana-1623	95	60	∫	∫	PROPN
cana-1623	95	61	  	  	SPACE
cana-1623	95	62	ℝ	ℝ	PROPN
cana-1623	95	63	 	 	SPACE
cana-1623	95	64	𝑡𝑦(𝑡	𝑡𝑦(𝑡	NUM
cana-1623	95	65	∣	∣	PROPN
cana-1623	95	66	�	�	PROPN
cana-1623	95	67	̃	̃	PROPN
cana-1623	95	68	�	�	NOUN
cana-1623	95	69	)𝑑𝑡	)𝑑𝑡	PUNCT
cana-1623	96	1	=	=	SYM
cana-1623	96	2	∫	∫	PROPN
cana-1623	96	3	  	  	SPACE
cana-1623	96	4	ℝ	ℝ	PROPN
cana-1623	96	5	 	 	SPACE
cana-1623	96	6	𝑡	𝑡	PROPN
cana-1623	96	7	𝑠(𝑡)𝑦(𝑡	𝑠(𝑡)𝑦(𝑡	NUM
cana-1623	96	8	;	;	PUNCT
cana-1623	96	9	𝜆	𝜆	X
cana-1623	96	10	,	,	PUNCT
cana-1623	96	11	𝜂	𝜂	NOUN
cana-1623	96	12	)	)	PUNCT
cana-1623	96	13	ℎ(𝜆	ℎ(𝜆	NOUN
cana-1623	96	14	,	,	PUNCT
cana-1623	96	15	𝜂	𝜂	PROPN
cana-1623	96	16	∣	∣	PROPN
cana-1623	96	17	�	�	PROPN
cana-1623	96	18	̃	̃	PROPN
cana-1623	96	19	�	�	PROPN
cana-1623	96	20	)	)	PUNCT
cana-1623	96	21	𝑑𝑡	𝑑𝑡	ADP
cana-1623	96	22	2.4	2.4	NUM
cana-1623	96	23	maximum	maximum	ADJ
cana-1623	96	24	likelihood	likelihood	NOUN
cana-1623	96	25	estimation	estimation	NOUN
cana-1623	96	26	the	the	DET
cana-1623	96	27	above	above	ADJ
cana-1623	96	28	equation	equation	NOUN
cana-1623	96	29	shows	show	VERB
cana-1623	96	30	the	the	DET
cana-1623	96	31	intuitionistic	intuitionistic	ADJ
cana-1623	96	32	fuzzy	fuzzy	ADJ
cana-1623	96	33	likelihood	likelihood	NOUN
cana-1623	96	34	function	function	NOUN
cana-1623	96	35	of	of	ADP
cana-1623	96	36	iw	iw	INTJ
cana-1623	96	37	(	(	PUNCT
cana-1623	96	38	𝜆	𝜆	NOUN
cana-1623	96	39	,	,	PUNCT
cana-1623	96	40	𝜂	𝜂	NOUN
cana-1623	96	41	)	)	PUNCT
cana-1623	96	42	thus	thus	ADV
cana-1623	96	43	,	,	PUNCT
cana-1623	96	44	the	the	DET
cana-1623	96	45	intuitionistic	intuitionistic	ADJ
cana-1623	96	46	fuzzy	fuzzy	ADJ
cana-1623	96	47	log	log	NOUN
cana-1623	96	48	-	-	PUNCT
cana-1623	96	49	likelihood	likelihood	NOUN
cana-1623	96	50	function	function	NOUN
cana-1623	96	51	is	be	AUX
cana-1623	96	52	given	give	VERB
cana-1623	96	53	as	as	SCONJ
cana-1623	96	54	follows	follow	VERB
cana-1623	96	55	:	:	PUNCT
cana-1623	97	1	𝐻(𝜆	𝐻(𝜆	PROPN
cana-1623	97	2	,	,	PUNCT
cana-1623	97	3	𝜂	𝜂	PROPN
cana-1623	97	4	∣	∣	PROPN
cana-1623	97	5	�	�	PROPN
cana-1623	97	6	̃	̃	PROPN
cana-1623	97	7	�	�	PROPN
cana-1623	97	8	)	)	PUNCT
cana-1623	97	9	=	=	SYM
cana-1623	97	10	ln	ln	PROPN
cana-1623	97	11	ℎ(𝜆	ℎ(𝜆	PROPN
cana-1623	97	12	,	,	PUNCT
cana-1623	97	13	𝜂	𝜂	PROPN
cana-1623	97	14	∣	∣	PROPN
cana-1623	97	15	�	�	PROPN
cana-1623	97	16	̃	̃	PROPN
cana-1623	97	17	�	�	PROPN
cana-1623	97	18	)	)	PUNCT
cana-1623	97	19	=	=	PROPN
cana-1623	97	20	∑	∑	PART
cana-1623	97	21	  	  	SPACE
cana-1623	97	22	𝑛	𝑛	PRON
cana-1623	97	23	𝑖=1	𝑖=1	PUNCT
cana-1623	97	24	 	 	SPACE
cana-1623	97	25	ln	ln	PROPN
cana-1623	98	1	[	[	X
cana-1623	98	2	∫	∫	INTJ
cana-1623	98	3	  	  	SPACE
cana-1623	98	4	ℝ	ℝ	PROPN
cana-1623	98	5	  	  	SPACE
cana-1623	98	6	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	98	7	;	;	PUNCT
cana-1623	98	8	𝜆	𝜆	X
cana-1623	98	9	,	,	PUNCT
cana-1623	98	10	𝜂)𝑑𝑡	𝜂)𝑑𝑡	PROPN
cana-1623	98	11	]	]	X
cana-1623	98	12	the	the	DET
cana-1623	98	13	mles	mle	NOUN
cana-1623	98	14	�	�	NOUN
cana-1623	98	15	̂	̂	PROPN
cana-1623	98	16	�	�	NOUN
cana-1623	98	17	𝑀𝐿	𝑀𝐿	PROPN
cana-1623	98	18	and	and	CCONJ
cana-1623	98	19	�	�	PROPN
cana-1623	98	20	̂	̂	VERB
cana-1623	98	21	�	�	NOUN
cana-1623	98	22	𝑀𝐿	𝑀𝐿	PROPN
cana-1623	98	23	are	be	AUX
cana-1623	98	24	obtained	obtain	VERB
cana-1623	98	25	by	by	ADP
cana-1623	98	26	the	the	DET
cana-1623	98	27	below	below	ADJ
cana-1623	98	28	equations	equation	NOUN
cana-1623	98	29	:	:	PUNCT
cana-1623	98	30	{	{	PUNCT
cana-1623	98	31	∂𝐻(𝜆	∂𝐻(𝜆	NOUN
cana-1623	98	32	,	,	PUNCT
cana-1623	98	33	𝜂	𝜂	PROPN
cana-1623	98	34	∣	∣	PROPN
cana-1623	98	35	�	�	PROPN
cana-1623	98	36	̃	̃	PROPN
cana-1623	98	37	�	�	PROPN
cana-1623	98	38	)	)	PUNCT
cana-1623	98	39	∂𝜆	∂𝜆	PROPN
cana-1623	99	1	=	=	NOUN
cana-1623	99	2	0	0	NUM
cana-1623	99	3	∂𝐻(𝜆	∂𝐻(𝜆	NOUN
cana-1623	99	4	,	,	PUNCT
cana-1623	99	5	𝜂	𝜂	PROPN
cana-1623	99	6	∣	∣	PROPN
cana-1623	99	7	�	�	PROPN
cana-1623	99	8	̃	̃	PROPN
cana-1623	99	9	�	�	PROPN
cana-1623	99	10	)	)	PUNCT
cana-1623	99	11	∂𝜂	∂𝜂	PROPN
cana-1623	100	1	=	=	NOUN
cana-1623	100	2	0	0	NUM
cana-1623	100	3	where	where	SCONJ
cana-1623	100	4	∂𝐻(𝜆,𝜂∣	∂𝐻(𝜆,𝜂∣	PROPN
cana-1623	100	5	�	�	PROPN
cana-1623	100	6	̃	̃	PROPN
cana-1623	100	7	�	�	PROPN
cana-1623	100	8	)	)	PUNCT
cana-1623	100	9	∂𝜆	∂𝜆	PROPN
cana-1623	100	10	and	and	CCONJ
cana-1623	100	11	∂𝐻(𝜆,𝜂∣	∂𝐻(𝜆,𝜂∣	PROPN
cana-1623	100	12	�	�	PROPN
cana-1623	100	13	̃	̃	PROPN
cana-1623	100	14	�	�	PROPN
cana-1623	100	15	)	)	PUNCT
cana-1623	100	16	∂𝜂	∂𝜂	PROPN
cana-1623	100	17	are	be	AUX
cana-1623	100	18	shown	show	VERB
cana-1623	100	19	in	in	ADP
cana-1623	100	20	below	below	ADP
cana-1623	100	21	∂𝐻(𝜆	∂𝐻(𝜆	NOUN
cana-1623	100	22	,	,	PUNCT
cana-1623	101	1	𝜂	𝜂	PROPN
cana-1623	101	2	∣	∣	PROPN
cana-1623	101	3	�	�	PROPN
cana-1623	101	4	̃	̃	PROPN
cana-1623	101	5	�	�	PROPN
cana-1623	101	6	)	)	PUNCT
cana-1623	101	7	∂𝜆	∂𝜆	PROPN
cana-1623	102	1	=	=	PUNCT
cana-1623	102	2	∑	∑	NOUN
cana-1623	102	3	  	  	SPACE
cana-1623	102	4	𝑛	𝑛	PRON
cana-1623	102	5	𝑖=1	𝑖=1	PROPN
cana-1623	102	6	  	  	SPACE
cana-1623	102	7	1	1	NUM
cana-1623	102	8	ℎ(𝜆	ℎ(𝜆	PROPN
cana-1623	102	9	,	,	PUNCT
cana-1623	102	10	𝜂	𝜂	PROPN
cana-1623	102	11	∣	∣	PROPN
cana-1623	102	12	�	�	PROPN
cana-1623	102	13	̃	̃	PROPN
cana-1623	102	14	�	�	NOUN
cana-1623	102	15	𝑖	𝑖	NUM
cana-1623	102	16	)	)	PUNCT
cana-1623	102	17	∫	∫	PROPN
cana-1623	102	18	  	  	SPACE
cana-1623	102	19	ℝ	ℝ	PROPN
cana-1623	102	20	 	 	SPACE
cana-1623	102	21	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	102	22	)	)	PUNCT
cana-1623	102	23	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	102	24	;	;	PUNCT
cana-1623	102	25	𝜆	𝜆	X
cana-1623	102	26	,	,	PUNCT
cana-1623	102	27	𝜂	𝜂	NOUN
cana-1623	102	28	)	)	PUNCT
cana-1623	102	29	∂𝜆	∂𝜆	PROPN
cana-1623	102	30	𝑑𝑡	𝑑𝑡	ADP
cana-1623	102	31	∂𝐻(𝜆	∂𝐻(𝜆	PROPN
cana-1623	102	32	,	,	PUNCT
cana-1623	102	33	𝜂	𝜂	PROPN
cana-1623	102	34	∣	∣	PROPN
cana-1623	102	35	�	�	PROPN
cana-1623	102	36	̃	̃	PROPN
cana-1623	102	37	�	�	PROPN
cana-1623	102	38	)	)	PUNCT
cana-1623	102	39	∂𝜂	∂𝜂	PROPN
cana-1623	103	1	=	=	PRON
cana-1623	103	2	∑	∑	NOUN
cana-1623	103	3	  	  	SPACE
cana-1623	103	4	𝑛	𝑛	PRON
cana-1623	103	5	𝑖=1	𝑖=1	PROPN
cana-1623	103	6	  	  	SPACE
cana-1623	103	7	1	1	NUM
cana-1623	103	8	ℎ(𝜆	ℎ(𝜆	PROPN
cana-1623	103	9	,	,	PUNCT
cana-1623	103	10	𝜂	𝜂	PROPN
cana-1623	103	11	∣	∣	PROPN
cana-1623	103	12	�	�	PROPN
cana-1623	103	13	̃	̃	PROPN
cana-1623	103	14	�	�	NOUN
cana-1623	103	15	𝑖	𝑖	NUM
cana-1623	103	16	)	)	PUNCT
cana-1623	103	17	∫	∫	PROPN
cana-1623	103	18	  	  	SPACE
cana-1623	103	19	ℝ	ℝ	PROPN
cana-1623	103	20	 	 	SPACE
cana-1623	103	21	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	103	22	)	)	PUNCT
cana-1623	103	23	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	103	24	;	;	PUNCT
cana-1623	103	25	𝜆	𝜆	X
cana-1623	103	26	,	,	PUNCT
cana-1623	103	27	𝜂	𝜂	NOUN
cana-1623	103	28	)	)	PUNCT
cana-1623	103	29	∂𝜂	∂𝜂	PROPN
cana-1623	103	30	𝑑𝑡	𝑑𝑡	ADP
cana-1623	103	31	here	here	ADV
cana-1623	103	32	,	,	PUNCT
cana-1623	103	33	ℎ(𝜆	ℎ(𝜆	PROPN
cana-1623	103	34	,	,	PUNCT
cana-1623	103	35	𝜂	𝜂	PROPN
cana-1623	103	36	∣	∣	PROPN
cana-1623	103	37	�	�	PROPN
cana-1623	103	38	̃	̃	PROPN
cana-1623	103	39	�	�	NOUN
cana-1623	103	40	𝑖	𝑖	NUM
cana-1623	103	41	)	)	PUNCT
cana-1623	103	42	=	=	NOUN
cana-1623	103	43	∫0	∫0	ADP
cana-1623	103	44	+	+	ADJ
cana-1623	103	45	∞	∞	PROPN
cana-1623	103	46	 	 	SPACE
cana-1623	103	47	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	103	48	;	;	PUNCT
cana-1623	103	49	𝜆	𝜆	X
cana-1623	103	50	,	,	PUNCT
cana-1623	103	51	𝜂)𝑑𝑡	𝜂)𝑑𝑡	PROPN
cana-1623	103	52	,	,	PUNCT
cana-1623	103	53	∂𝑦(𝑡;𝜆,𝜂	∂𝑦(𝑡;𝜆,𝜂	PROPN
cana-1623	103	54	)	)	PUNCT
cana-1623	103	55	∂𝜆	∂𝜆	PROPN
cana-1623	103	56	and	and	CCONJ
cana-1623	103	57	∂𝑦(𝑡;𝜆,𝜂	∂𝑦(𝑡;𝜆,𝜂	NUM
cana-1623	103	58	)	)	PUNCT
cana-1623	103	59	∂𝜂	∂𝜂	PROPN
cana-1623	103	60	are	be	AUX
cana-1623	103	61	shown	show	VERB
cana-1623	103	62	in	in	ADP
cana-1623	103	63	below	below	ADV
cana-1623	103	64	:	:	PUNCT
cana-1623	103	65	communications	communication	NOUN
cana-1623	103	66	on	on	ADP
cana-1623	103	67	applied	apply	VERB
cana-1623	103	68	nonlinear	nonlinear	ADJ
cana-1623	103	69	analysis	analysis	NOUN
cana-1623	103	70	issn	issn	NOUN
cana-1623	103	71	:	:	PUNCT
cana-1623	103	72	1074	1074	NUM
cana-1623	103	73	-	-	PUNCT
cana-1623	103	74	133x	133x	NUM
cana-1623	103	75	vol	vol	NOUN
cana-1623	103	76	32	32	NUM
cana-1623	103	77	no	no	NOUN
cana-1623	103	78	.	.	NOUN
cana-1623	103	79	1	1	NUM
cana-1623	103	80	(	(	PUNCT
cana-1623	103	81	2025	2025	NUM
cana-1623	103	82	)	)	PUNCT
cana-1623	103	83	95	95	NUM
cana-1623	103	84	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	103	85	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	103	86	;	;	PUNCT
cana-1623	103	87	𝜆	𝜆	X
cana-1623	103	88	,	,	PUNCT
cana-1623	103	89	𝜂	𝜂	NOUN
cana-1623	103	90	)	)	PUNCT
cana-1623	103	91	∂𝜆	∂𝜆	NOUN
cana-1623	104	1	=	=	PUNCT
cana-1623	104	2	1	1	NUM
cana-1623	104	3	𝜆	𝜆	DET
cana-1623	104	4	𝑦(𝑡	𝑦(𝑡	PROPN
cana-1623	104	5	;	;	PUNCT
cana-1623	104	6	𝜆	𝜆	X
cana-1623	104	7	,	,	PUNCT
cana-1623	104	8	𝜂	𝜂	NOUN
cana-1623	104	9	)	)	PUNCT
cana-1623	104	10	−	−	NOUN
cana-1623	104	11	𝑡−𝜂𝑦(𝑡	𝑡−𝜂𝑦(𝑡	ADJ
cana-1623	104	12	;	;	PUNCT
cana-1623	104	13	𝜆	𝜆	X
cana-1623	104	14	,	,	PUNCT
cana-1623	104	15	𝜂	𝜂	NOUN
cana-1623	104	16	)	)	PUNCT
cana-1623	104	17	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	104	18	;	;	PUNCT
cana-1623	104	19	𝜆	𝜆	X
cana-1623	104	20	,	,	PUNCT
cana-1623	104	21	𝜂	𝜂	NOUN
cana-1623	104	22	)	)	PUNCT
cana-1623	104	23	∂𝜂	∂𝜂	PROPN
cana-1623	104	24	=	=	SYM
cana-1623	104	25	1	1	NUM
cana-1623	104	26	𝜂	𝜂	PRON
cana-1623	104	27	𝑦(𝑡	𝑦(𝑡	NUM
cana-1623	104	28	;	;	PUNCT
cana-1623	104	29	𝜆	𝜆	X
cana-1623	104	30	,	,	PUNCT
cana-1623	104	31	𝜂	𝜂	NOUN
cana-1623	104	32	)	)	PUNCT
cana-1623	105	1	−	−	PROPN
cana-1623	105	2	𝑦(𝑡	𝑦(𝑡	PROPN
cana-1623	105	3	;	;	PUNCT
cana-1623	105	4	𝜆	𝜆	X
cana-1623	105	5	,	,	PUNCT
cana-1623	105	6	𝜂	𝜂	NOUN
cana-1623	105	7	)	)	PUNCT
cana-1623	105	8	ln	ln	NOUN
cana-1623	105	9	𝑡	𝑡	PROPN
cana-1623	105	10	+	+	PROPN
cana-1623	106	1	𝜆𝑡−𝜂𝑦(𝑡	𝜆𝑡−𝜂𝑦(𝑡	ADJ
cana-1623	106	2	;	;	PUNCT
cana-1623	106	3	𝜆	𝜆	X
cana-1623	106	4	,	,	PUNCT
cana-1623	106	5	𝜂	𝜂	NOUN
cana-1623	106	6	)	)	PUNCT
cana-1623	106	7	ln	ln	NOUN
cana-1623	106	8	𝑡	𝑡	NOUN
cana-1623	106	9	it	it	PRON
cana-1623	106	10	is	be	AUX
cana-1623	106	11	evident	evident	ADJ
cana-1623	106	12	that	that	SCONJ
cana-1623	106	13	the	the	DET
cana-1623	106	14	equations	equation	NOUN
cana-1623	106	15	above	above	ADV
cana-1623	106	16	are	be	AUX
cana-1623	106	17	nonlinear	nonlinear	ADJ
cana-1623	106	18	and	and	CCONJ
cana-1623	106	19	difficult	difficult	ADJ
cana-1623	106	20	to	to	PART
cana-1623	106	21	solve	solve	VERB
cana-1623	106	22	.	.	PUNCT
cana-1623	107	1	then	then	ADV
cana-1623	107	2	we	we	PRON
cana-1623	107	3	considered	consider	VERB
cana-1623	107	4	the	the	DET
cana-1623	107	5	em	em	PROPN
cana-1623	107	6	algorithm	algorithm	NOUN
cana-1623	107	7	.	.	PUNCT
cana-1623	108	1	the	the	DET
cana-1623	108	2	em	em	PROPN
cana-1623	108	3	technique	technique	NOUN
cana-1623	108	4	is	be	AUX
cana-1623	108	5	equally	equally	ADV
cana-1623	108	6	applicable	applicable	ADJ
cana-1623	108	7	to	to	ADP
cana-1623	108	8	intuitionistic	intuitionistic	ADJ
cana-1623	108	9	fuzzy	fuzzy	ADJ
cana-1623	108	10	data	datum	NOUN
cana-1623	108	11	because	because	SCONJ
cana-1623	108	12	the	the	DET
cana-1623	108	13	observed	observe	VERB
cana-1623	108	14	intuitionistic	intuitionistic	ADJ
cana-1623	108	15	fuzzy	fuzzy	ADJ
cana-1623	108	16	data	datum	NOUN
cana-1623	108	17	can	can	AUX
cana-1623	108	18	be	be	AUX
cana-1623	108	19	viewed	view	VERB
cana-1623	108	20	as	as	ADP
cana-1623	108	21	imperfect	imperfect	ADJ
cana-1623	108	22	characterizations	characterization	NOUN
cana-1623	108	23	of	of	ADP
cana-1623	108	24	the	the	DET
cana-1623	108	25	completed	complete	VERB
cana-1623	108	26	data	datum	NOUN
cana-1623	108	27	.	.	PUNCT
cana-1623	109	1	to	to	PART
cana-1623	109	2	better	well	ADV
cana-1623	109	3	illustrate	illustrate	VERB
cana-1623	109	4	the	the	DET
cana-1623	109	5	iterative	iterative	NOUN
cana-1623	109	6	process	process	NOUN
cana-1623	109	7	of	of	ADP
cana-1623	109	8	the	the	DET
cana-1623	109	9	em	em	PROPN
cana-1623	109	10	method	method	NOUN
cana-1623	109	11	,	,	PUNCT
cana-1623	109	12	from	from	ADP
cana-1623	109	13	above	above	ADP
cana-1623	109	14	equation	equation	NOUN
cana-1623	109	15	we	we	PRON
cana-1623	109	16	get	get	VERB
cana-1623	109	17	,	,	PUNCT
cana-1623	109	18	∂𝐻(𝜆	∂𝐻(𝜆	NOUN
cana-1623	109	19	,	,	PUNCT
cana-1623	109	20	𝜂	𝜂	PROPN
cana-1623	109	21	∣	∣	PROPN
cana-1623	109	22	�	�	PROPN
cana-1623	109	23	̃	̃	PROPN
cana-1623	109	24	�	�	PROPN
cana-1623	109	25	)	)	PUNCT
cana-1623	109	26	∂𝜆	∂𝜆	PROPN
cana-1623	110	1	=	=	PUNCT
cana-1623	110	2	∑	∑	NOUN
cana-1623	110	3	  	  	SPACE
cana-1623	110	4	𝑛	𝑛	PRON
cana-1623	110	5	𝑖=1	𝑖=1	PROPN
cana-1623	110	6	  	  	SPACE
cana-1623	110	7	1	1	NUM
cana-1623	110	8	ℎ(𝜆	ℎ(𝜆	PROPN
cana-1623	110	9	,	,	PUNCT
cana-1623	110	10	𝜂	𝜂	PROPN
cana-1623	110	11	∣	∣	PROPN
cana-1623	110	12	�	�	PROPN
cana-1623	110	13	̃	̃	PROPN
cana-1623	110	14	�	�	PROPN
cana-1623	110	15	𝑖)̅̅	𝑖)̅̅	NOUN
cana-1623	110	16	̅̅	̅̅	PROPN
cana-1623	110	17	̅̅	̅̅	PROPN
cana-1623	110	18	̅̅	̅̅	PROPN
cana-1623	110	19	̅̅	̅̅	PROPN
cana-1623	110	20	̅̅	̅̅	PROPN
cana-1623	110	21	̅̅	̅̅	PROPN
cana-1623	110	22	∫	∫	PROPN
cana-1623	110	23	  	  	SPACE
cana-1623	111	1	+	+	PROPN
cana-1623	111	2	∞	∞	PROPN
cana-1623	111	3	0	0	NUM
cana-1623	111	4	  	  	SPACE
cana-1623	111	5	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	111	6	)	)	PUNCT
cana-1623	111	7	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	111	8	;	;	PUNCT
cana-1623	111	9	𝜆	𝜆	X
cana-1623	111	10	,	,	PUNCT
cana-1623	111	11	𝜂	𝜂	NOUN
cana-1623	111	12	)	)	PUNCT
cana-1623	111	13	∂𝜆	∂𝜆	PROPN
cana-1623	111	14	𝑑𝑡	𝑑𝑡	ADP
cana-1623	111	15	=	=	NOUN
cana-1623	111	16	∑	∑	NOUN
cana-1623	111	17	  	  	SPACE
cana-1623	111	18	𝑛	𝑛	PRON
cana-1623	111	19	𝑖=1	𝑖=1	PROPN
cana-1623	111	20	  	  	SPACE
cana-1623	111	21	1	1	NUM
cana-1623	111	22	ℎ‾(𝜆	ℎ‾(𝜆	PROPN
cana-1623	111	23	,	,	PUNCT
cana-1623	111	24	𝜂	𝜂	PROPN
cana-1623	111	25	∣	∣	PROPN
cana-1623	111	26	�	�	PROPN
cana-1623	111	27	̃	̃	PROPN
cana-1623	111	28	�	�	NOUN
cana-1623	111	29	𝑖	𝑖	NUM
cana-1623	111	30	)	)	PUNCT
cana-1623	111	31	∫	∫	PROPN
cana-1623	111	32	  	  	SPACE
cana-1623	112	1	+	+	PROPN
cana-1623	112	2	∞	∞	PROPN
cana-1623	112	3	0	0	NUM
cana-1623	112	4	  	  	SPACE
cana-1623	112	5	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	112	6	)	)	PUNCT
cana-1623	112	7	[	[	PUNCT
cana-1623	112	8	1	1	NUM
cana-1623	112	9	𝜆	𝜆	PRON
cana-1623	112	10	𝑦(𝑡	𝑦(𝑡	NUM
cana-1623	112	11	;	;	PUNCT
cana-1623	112	12	𝜆	𝜆	X
cana-1623	112	13	,	,	PUNCT
cana-1623	112	14	𝜂	𝜂	NOUN
cana-1623	112	15	)	)	PUNCT
cana-1623	112	16	−	−	NOUN
cana-1623	112	17	𝑡−𝜂𝑦(𝑡	𝑡−𝜂𝑦(𝑡	ADJ
cana-1623	112	18	;	;	PUNCT
cana-1623	112	19	𝜆	𝜆	X
cana-1623	112	20	,	,	PUNCT
cana-1623	112	21	𝜂	𝜂	NOUN
cana-1623	112	22	)	)	PUNCT
cana-1623	112	23	]	]	PUNCT
cana-1623	112	24	𝑑𝑡	𝑑𝑡	ADP
cana-1623	112	25	=	=	NOUN
cana-1623	112	26	∑	∑	NOUN
cana-1623	112	27	  	  	SPACE
cana-1623	112	28	𝑛	𝑛	PRON
cana-1623	112	29	𝑖=1	𝑖=1	PUNCT
cana-1623	112	30	 	 	SPACE
cana-1623	112	31	∫	∫	PROPN
cana-1623	112	32	  	  	SPACE
cana-1623	113	1	+	+	PROPN
cana-1623	113	2	∞	∞	PROPN
cana-1623	113	3	0	0	NUM
cana-1623	113	4	  	  	SPACE
cana-1623	113	5	1	1	NUM
cana-1623	113	6	𝜆	𝜆	PROPN
cana-1623	113	7	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	113	8	,	,	PUNCT
cana-1623	113	9	𝜆	𝜆	NOUN
cana-1623	113	10	,	,	PUNCT
cana-1623	113	11	𝜂	𝜂	NOUN
cana-1623	113	12	)	)	PUNCT
cana-1623	113	13	ℎ(𝜆	ℎ(𝜆	NOUN
cana-1623	113	14	,	,	PUNCT
cana-1623	113	15	𝜂	𝜂	PROPN
cana-1623	113	16	∣	∣	PROPN
cana-1623	113	17	�	�	PROPN
cana-1623	113	18	̃	̃	PROPN
cana-1623	113	19	�	�	NOUN
cana-1623	113	20	𝑖	𝑖	NUM
cana-1623	113	21	)	)	PUNCT
cana-1623	113	22	𝑑𝑡	𝑑𝑡	ADP
cana-1623	113	23	−∑	−∑	PROPN
cana-1623	113	24	  	  	SPACE
cana-1623	113	25	𝑛	𝑛	PRON
cana-1623	113	26	𝑖=1	𝑖=1	PROPN
cana-1623	113	27	 	 	SPACE
cana-1623	113	28	∫	∫	PROPN
cana-1623	113	29	  	  	SPACE
cana-1623	114	1	+	+	PROPN
cana-1623	114	2	∞	∞	PROPN
cana-1623	114	3	0	0	NUM
cana-1623	114	4	  	  	SPACE
cana-1623	114	5	𝑡−𝜂	𝑡−𝜂	PROPN
cana-1623	114	6	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	114	7	;	;	PUNCT
cana-1623	114	8	𝜆	𝜆	X
cana-1623	114	9	,	,	PUNCT
cana-1623	114	10	𝜂	𝜂	NOUN
cana-1623	114	11	)	)	PUNCT
cana-1623	114	12	ℎ(𝜆	ℎ(𝜆	NOUN
cana-1623	114	13	,	,	PUNCT
cana-1623	114	14	𝜂	𝜂	PROPN
cana-1623	114	15	∣	∣	PROPN
cana-1623	114	16	�	�	PROPN
cana-1623	114	17	̃	̃	PROPN
cana-1623	114	18	�	�	NOUN
cana-1623	114	19	𝑖	𝑖	NUM
cana-1623	114	20	)	)	PUNCT
cana-1623	114	21	𝑑𝑡	𝑑𝑡	ADP
cana-1623	114	22	=	=	SYM
cana-1623	114	23	𝑛	𝑛	PROPN
cana-1623	114	24	1	1	NUM
cana-1623	114	25	𝜆	𝜆	DET
cana-1623	114	26	−∑	−∑	PROPN
cana-1623	114	27	  	  	SPACE
cana-1623	114	28	𝑛	𝑛	DET
cana-1623	114	29	𝑖=1	𝑖=1	PROPN
cana-1623	114	30	 	 	SPACE
cana-1623	114	31	𝐸1𝑖.	𝐸1𝑖.	NOUN
cana-1623	114	32	let	let	VERB
cana-1623	114	33	∂𝐻(𝜆	∂𝐻(𝜆	NOUN
cana-1623	114	34	,	,	PUNCT
cana-1623	114	35	𝜂	𝜂	PROPN
cana-1623	114	36	∣	∣	PROPN
cana-1623	114	37	�	�	PROPN
cana-1623	114	38	̃	̃	PROPN
cana-1623	114	39	�	�	PROPN
cana-1623	114	40	)	)	PUNCT
cana-1623	114	41	∂𝜆	∂𝜆	PROPN
cana-1623	115	1	=	=	PUNCT
cana-1623	115	2	0	0	PROPN
cana-1623	115	3	,	,	PUNCT
cana-1623	115	4	where	where	SCONJ
cana-1623	115	5	𝐸1𝑖	𝐸1𝑖	PROPN
cana-1623	115	6	=	=	PUNCT
cana-1623	115	7	𝐸(𝑇	𝐸(𝑇	PROPN
cana-1623	115	8	−𝜂	−𝜂	PROPN
cana-1623	115	9	∣	∣	PROPN
cana-1623	115	10	�	�	PROPN
cana-1623	115	11	̃	̃	PROPN
cana-1623	115	12	�	�	NOUN
cana-1623	115	13	𝑖	𝑖	NUM
cana-1623	115	14	)	)	PUNCT
cana-1623	115	15	=	=	SYM
cana-1623	116	1	∫	∫	PROPN
cana-1623	116	2	  	  	SPACE
cana-1623	117	1	+	+	PROPN
cana-1623	117	2	∞	∞	PROPN
cana-1623	117	3	0	0	NUM
cana-1623	117	4	𝑡−𝜂	𝑡−𝜂	PROPN
cana-1623	117	5	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	117	6	;	;	PUNCT
cana-1623	117	7	𝜆	𝜆	X
cana-1623	117	8	,	,	PUNCT
cana-1623	117	9	𝜂	𝜂	NOUN
cana-1623	117	10	)	)	PUNCT
cana-1623	117	11	ℎ(𝜆	ℎ(𝜆	NOUN
cana-1623	117	12	,	,	PUNCT
cana-1623	117	13	𝜂	𝜂	PROPN
cana-1623	117	14	∣	∣	PROPN
cana-1623	117	15	�	�	PROPN
cana-1623	117	16	̃	̃	PROPN
cana-1623	117	17	�	�	NOUN
cana-1623	117	18	𝑖	𝑖	NUM
cana-1623	117	19	)	)	PUNCT
cana-1623	117	20	𝑑𝑡	𝑑𝑡	ADP
cana-1623	117	21	∂𝐻(𝜆	∂𝐻(𝜆	PROPN
cana-1623	117	22	,	,	PUNCT
cana-1623	117	23	𝜂	𝜂	PROPN
cana-1623	117	24	∣	∣	PROPN
cana-1623	117	25	�	�	PROPN
cana-1623	117	26	̃	̃	PROPN
cana-1623	117	27	�	�	PROPN
cana-1623	117	28	)	)	PUNCT
cana-1623	117	29	∂𝜂	∂𝜂	PROPN
cana-1623	118	1	=	=	PRON
cana-1623	118	2	∑	∑	NOUN
cana-1623	118	3	  	  	SPACE
cana-1623	118	4	𝑛	𝑛	PRON
cana-1623	118	5	𝑖=1	𝑖=1	PROPN
cana-1623	118	6	  	  	SPACE
cana-1623	118	7	1	1	NUM
cana-1623	118	8	ℎ(𝜆	ℎ(𝜆	PROPN
cana-1623	118	9	,	,	PUNCT
cana-1623	118	10	𝜂	𝜂	PROPN
cana-1623	118	11	∣	∣	PROPN
cana-1623	118	12	�	�	PROPN
cana-1623	118	13	̃	̃	PROPN
cana-1623	118	14	�	�	PROPN
cana-1623	118	15	𝑖)̅̅	𝑖)̅̅	NOUN
cana-1623	118	16	̅̅	̅̅	PROPN
cana-1623	118	17	̅̅	̅̅	PROPN
cana-1623	118	18	̅̅	̅̅	PROPN
cana-1623	118	19	̅̅	̅̅	PROPN
cana-1623	118	20	̅̅	̅̅	PROPN
cana-1623	118	21	̅̅	̅̅	PROPN
cana-1623	118	22	∫	∫	PROPN
cana-1623	118	23	  	  	SPACE
cana-1623	119	1	+	+	PROPN
cana-1623	119	2	∞	∞	PROPN
cana-1623	119	3	0	0	NUM
cana-1623	119	4	  	  	SPACE
cana-1623	119	5	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	119	6	)	)	PUNCT
cana-1623	119	7	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	119	8	;	;	PUNCT
cana-1623	119	9	𝜆	𝜆	X
cana-1623	119	10	,	,	PUNCT
cana-1623	119	11	𝜂	𝜂	NOUN
cana-1623	119	12	)	)	PUNCT
cana-1623	119	13	∂𝜂	∂𝜂	PROPN
cana-1623	119	14	𝑑𝑡	𝑑𝑡	ADP
cana-1623	119	15	=	=	NOUN
cana-1623	119	16	𝑛	𝑛	PROPN
cana-1623	119	17	1	1	NUM
cana-1623	119	18	𝜂	𝜂	PROPN
cana-1623	119	19	−∑	−∑	PROPN
cana-1623	119	20	  	  	SPACE
cana-1623	119	21	𝑛	𝑛	DET
cana-1623	119	22	𝑖=1	𝑖=1	PROPN
cana-1623	119	23	 	 	SPACE
cana-1623	119	24	𝐸2𝑖	𝐸2𝑖	NOUN
cana-1623	120	1	+	+	CCONJ
cana-1623	120	2	𝜆∑	𝜆∑	VERB
cana-1623	120	3	  	  	SPACE
cana-1623	120	4	𝑛	𝑛	PRON
cana-1623	120	5	𝑖=1	𝑖=1	PROPN
cana-1623	120	6	 	 	SPACE
cana-1623	120	7	𝐸3𝑖	𝐸3𝑖	PROPN
cana-1623	120	8	let	let	VERB
cana-1623	120	9	∂𝐻(𝜆	∂𝐻(𝜆	NOUN
cana-1623	120	10	,	,	PUNCT
cana-1623	120	11	𝜂	𝜂	PROPN
cana-1623	120	12	∣	∣	PROPN
cana-1623	120	13	�	�	PROPN
cana-1623	120	14	̃	̃	PROPN
cana-1623	120	15	�	�	PROPN
cana-1623	120	16	)	)	PUNCT
cana-1623	120	17	∂𝜂	∂𝜂	PROPN
cana-1623	120	18	=	=	SYM
cana-1623	120	19	0	0	PROPN
cana-1623	120	20	,	,	PUNCT
cana-1623	120	21	where	where	SCONJ
cana-1623	120	22	𝐸2𝑖	𝐸2𝑖	NOUN
cana-1623	120	23	=	=	SYM
cana-1623	120	24	𝐸(ln	𝐸(ln	X
cana-1623	120	25	𝑇	𝑇	PROPN
cana-1623	120	26	∣	∣	PROPN
cana-1623	120	27	�	�	PROPN
cana-1623	120	28	̃	̃	PROPN
cana-1623	120	29	�	�	NOUN
cana-1623	120	30	𝑖	𝑖	NUM
cana-1623	120	31	)	)	PUNCT
cana-1623	120	32	=	=	SYM
cana-1623	121	1	∫	∫	PROPN
cana-1623	121	2	  	  	SPACE
cana-1623	122	1	+	+	PROPN
cana-1623	122	2	∞	∞	PROPN
cana-1623	122	3	0	0	PUNCT
cana-1623	123	1	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	ADJ
cana-1623	123	2	;	;	PUNCT
cana-1623	123	3	𝜆	𝜆	X
cana-1623	123	4	,	,	PUNCT
cana-1623	123	5	𝜂	𝜂	NOUN
cana-1623	123	6	)	)	PUNCT
cana-1623	123	7	ℎ(𝜆	ℎ(𝜆	NOUN
cana-1623	123	8	,	,	PUNCT
cana-1623	123	9	𝜂	𝜂	PROPN
cana-1623	123	10	∣	∣	PROPN
cana-1623	123	11	�	�	PROPN
cana-1623	123	12	̃	̃	PROPN
cana-1623	123	13	�	�	NOUN
cana-1623	123	14	𝑖	𝑖	NUM
cana-1623	123	15	)	)	PUNCT
cana-1623	123	16	(	(	PUNCT
cana-1623	123	17	ln	ln	PROPN
cana-1623	123	18	𝑡)𝑑𝑡	𝑡)𝑑𝑡	PROPN
cana-1623	123	19	and	and	CCONJ
cana-1623	123	20	communications	communication	NOUN
cana-1623	123	21	on	on	ADP
cana-1623	123	22	applied	apply	VERB
cana-1623	123	23	nonlinear	nonlinear	ADJ
cana-1623	123	24	analysis	analysis	NOUN
cana-1623	123	25	issn	issn	NOUN
cana-1623	123	26	:	:	PUNCT
cana-1623	123	27	1074	1074	NUM
cana-1623	123	28	-	-	PUNCT
cana-1623	123	29	133x	133x	NUM
cana-1623	123	30	vol	vol	NOUN
cana-1623	123	31	32	32	NUM
cana-1623	123	32	no	no	NOUN
cana-1623	123	33	.	.	NOUN
cana-1623	123	34	1	1	NUM
cana-1623	123	35	(	(	PUNCT
cana-1623	123	36	2025	2025	NUM
cana-1623	123	37	)	)	PUNCT
cana-1623	123	38	96	96	NUM
cana-1623	124	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	124	2	𝐸3𝑖	𝐸3𝑖	PROPN
cana-1623	124	3	=	=	PUNCT
cana-1623	124	4	𝐸(𝑇−𝜂ln	𝐸(𝑇−𝜂ln	PROPN
cana-1623	124	5	𝑇	𝑇	PROPN
cana-1623	124	6	∣	∣	PROPN
cana-1623	124	7	�	�	PROPN
cana-1623	124	8	̃	̃	PROPN
cana-1623	124	9	�	�	NOUN
cana-1623	124	10	𝑖	𝑖	NUM
cana-1623	124	11	)	)	PUNCT
cana-1623	124	12	=	=	SYM
cana-1623	124	13	∫	∫	PROPN
cana-1623	124	14	  	  	SPACE
cana-1623	124	15	+	+	PROPN
cana-1623	124	16	∞	∞	PROPN
cana-1623	124	17	0	0	PUNCT
cana-1623	125	1	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	ADJ
cana-1623	125	2	;	;	PUNCT
cana-1623	125	3	𝜆	𝜆	X
cana-1623	125	4	,	,	PUNCT
cana-1623	125	5	𝜂	𝜂	NOUN
cana-1623	125	6	)	)	PUNCT
cana-1623	125	7	ℎ(𝜆	ℎ(𝜆	NOUN
cana-1623	125	8	,	,	PUNCT
cana-1623	125	9	𝜂	𝜂	PROPN
cana-1623	125	10	∣	∣	PROPN
cana-1623	125	11	�	�	PROPN
cana-1623	125	12	̃	̃	PROPN
cana-1623	125	13	�	�	NOUN
cana-1623	125	14	𝑖	𝑖	NUM
cana-1623	125	15	)	)	PUNCT
cana-1623	125	16	(	(	PUNCT
cana-1623	125	17	𝑡−𝜂ln	𝑡−𝜂ln	VERB
cana-1623	126	1	𝑡)𝑑𝑡	𝑡)𝑑𝑡	ADP
cana-1623	126	2	the	the	DET
cana-1623	126	3	iterative	iterative	NOUN
cana-1623	126	4	processes	process	NOUN
cana-1623	126	5	for	for	ADP
cana-1623	126	6	obtaining	obtain	VERB
cana-1623	126	7	mles	mle	NOUN
cana-1623	126	8	with	with	ADP
cana-1623	126	9	the	the	DET
cana-1623	126	10	em	em	PROPN
cana-1623	126	11	method	method	NOUN
cana-1623	126	12	are	be	AUX
cana-1623	126	13	as	as	SCONJ
cana-1623	126	14	follows	follow	VERB
cana-1623	126	15	:	:	PUNCT
cana-1623	126	16	step	step	NOUN
cana-1623	126	17	1	1	NUM
cana-1623	126	18	:	:	PUNCT
cana-1623	126	19	let	let	VERB
cana-1623	126	20	the	the	DET
cana-1623	126	21	initial	initial	ADJ
cana-1623	126	22	value	value	NOUN
cana-1623	126	23	be	be	AUX
cana-1623	126	24	𝜃(0	𝜃(0	VERB
cana-1623	126	25	)	)	PUNCT
cana-1623	126	26	=	=	SYM
cana-1623	126	27	(	(	PUNCT
cana-1623	126	28	𝜆(0	𝜆(0	PROPN
cana-1623	126	29	)	)	PUNCT
cana-1623	126	30	,	,	PUNCT
cana-1623	126	31	𝜂(0	𝜂(0	PROPN
cana-1623	126	32	)	)	PUNCT
cana-1623	126	33	)	)	PUNCT
cana-1623	126	34	,	,	PUNCT
cana-1623	126	35	and	and	CCONJ
cana-1623	126	36	set	set	VERB
cana-1623	126	37	𝑗	𝑗	PROPN
cana-1623	126	38	=	=	SYM
cana-1623	126	39	0	0	X
cana-1623	126	40	.	.	PUNCT
cana-1623	126	41	give	give	VERB
cana-1623	126	42	the	the	DET
cana-1623	126	43	accuracy	accuracy	NOUN
cana-1623	126	44	ε	ε	PROPN
cana-1623	126	45	>	>	X
cana-1623	126	46	0	0	PROPN
cana-1623	126	47	.	.	PUNCT
cana-1623	127	1	step	step	NOUN
cana-1623	127	2	2	2	NUM
cana-1623	127	3	:	:	PUNCT
cana-1623	127	4	at	at	ADP
cana-1623	127	5	the	the	DET
cana-1623	127	6	(	(	PUNCT
cana-1623	127	7	𝑗	𝑗	PROPN
cana-1623	127	8	+	+	CCONJ
cana-1623	127	9	1)th	1)th	NUM
cana-1623	127	10	iteration	iteration	NOUN
cana-1623	127	11	,	,	PUNCT
cana-1623	127	12	compute	compute	VERB
cana-1623	127	13	the	the	DET
cana-1623	127	14	intuitionistic	intuitionistic	ADJ
cana-1623	127	15	fuzzy	fuzzy	ADJ
cana-1623	127	16	conditional	conditional	ADJ
cana-1623	127	17	expectations	expectation	NOUN
cana-1623	127	18	shown	show	VERB
cana-1623	127	19	below	below	ADV
cana-1623	127	20	.	.	PUNCT
cana-1623	128	1	𝐸1𝑖	𝐸1𝑖	PROPN
cana-1623	128	2	=	=	SYM
cana-1623	128	3	∫	∫	PROPN
cana-1623	128	4	𝑡−𝜂	𝑡−𝜂	PROPN
cana-1623	128	5	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	128	6	;	;	PUNCT
cana-1623	128	7	𝜆	𝜆	X
cana-1623	128	8	,	,	PUNCT
cana-1623	128	9	𝜂	𝜂	NOUN
cana-1623	128	10	)	)	PUNCT
cana-1623	128	11	ℎ	ℎ	PROPN
cana-1623	128	12	(	(	PUNCT
cana-1623	128	13	𝜆	𝜆	NOUN
cana-1623	128	14	,	,	PUNCT
cana-1623	128	15	𝜂	𝜂	X
cana-1623	128	16	∣∣	∣∣	NUM
cana-1623	128	17	�	�	PROPN
cana-1623	128	18	̃	̃	PROPN
cana-1623	128	19	�	�	NOUN
cana-1623	128	20	𝑖	𝑖	X
cana-1623	128	21	)	)	PUNCT
cana-1623	129	1	+	+	VERB
cana-1623	129	2	∞	∞	NUM
cana-1623	129	3	0	0	NUM
cana-1623	129	4	  	  	SPACE
cana-1623	129	5	|	|	ADV
cana-1623	129	6	𝜃(𝑗+1)=𝜃(𝑗	𝜃(𝑗+1)=𝜃(𝑗	ADJ
cana-1623	129	7	)	)	PUNCT
cana-1623	129	8	𝑑𝑡	𝑑𝑡	ADP
cana-1623	129	9	,	,	PUNCT
cana-1623	129	10	𝐸2𝑖	𝐸2𝑖	PROPN
cana-1623	129	11	=	=	SYM
cana-1623	129	12	∫	∫	PROPN
cana-1623	130	1	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	130	2	;	;	PUNCT
cana-1623	130	3	𝜆	𝜆	X
cana-1623	130	4	,	,	PUNCT
cana-1623	130	5	𝜂	𝜂	NOUN
cana-1623	130	6	)	)	PUNCT
cana-1623	130	7	ℎ	ℎ	PROPN
cana-1623	130	8	(	(	PUNCT
cana-1623	130	9	𝜆	𝜆	NOUN
cana-1623	130	10	,	,	PUNCT
cana-1623	130	11	𝜂	𝜂	X
cana-1623	130	12	∣∣	∣∣	NUM
cana-1623	130	13	�	�	PROPN
cana-1623	130	14	̃	̃	PROPN
cana-1623	130	15	�	�	NOUN
cana-1623	130	16	𝑖	𝑖	X
cana-1623	130	17	)	)	PUNCT
cana-1623	130	18	(	(	PUNCT
cana-1623	130	19	ln	ln	NOUN
cana-1623	130	20	𝑡	𝑡	NOUN
cana-1623	130	21	)	)	PUNCT
cana-1623	131	1	+	+	NOUN
cana-1623	131	2	∞	∞	NOUN
cana-1623	131	3	0	0	NUM
cana-1623	131	4	  	  	SPACE
cana-1623	131	5	|	|	ADV
cana-1623	131	6	𝜃(𝑗+1)=𝜃(𝑗	𝜃(𝑗+1)=𝜃(𝑗	ADJ
cana-1623	131	7	)	)	PUNCT
cana-1623	131	8	𝑑𝑡	𝑑𝑡	ADP
cana-1623	131	9	,	,	PUNCT
cana-1623	131	10	𝐸3𝑖	𝐸3𝑖	PROPN
cana-1623	131	11	=	=	PUNCT
cana-1623	131	12	∫	∫	PROPN
cana-1623	132	1	𝑠𝑖(𝑡)𝑦(𝑡	𝑠𝑖(𝑡)𝑦(𝑡	PROPN
cana-1623	132	2	;	;	PUNCT
cana-1623	132	3	𝜆	𝜆	X
cana-1623	132	4	,	,	PUNCT
cana-1623	132	5	𝜂	𝜂	NOUN
cana-1623	132	6	)	)	PUNCT
cana-1623	132	7	ℎ	ℎ	PROPN
cana-1623	132	8	(	(	PUNCT
cana-1623	132	9	𝜆	𝜆	NOUN
cana-1623	132	10	,	,	PUNCT
cana-1623	132	11	𝜂	𝜂	X
cana-1623	132	12	∣∣	∣∣	NUM
cana-1623	132	13	�	�	PROPN
cana-1623	132	14	̃	̃	PROPN
cana-1623	132	15	�	�	NOUN
cana-1623	132	16	𝑖	𝑖	X
cana-1623	132	17	)	)	PUNCT
cana-1623	132	18	(	(	PUNCT
cana-1623	132	19	𝑡−𝜂	𝑡−𝜂	PROPN
cana-1623	132	20	ln	ln	ADJ
cana-1623	132	21	𝑡	𝑡	PROPN
cana-1623	132	22	)	)	PUNCT
cana-1623	133	1	+	+	NOUN
cana-1623	133	2	∞	∞	NUM
cana-1623	133	3	0	0	NUM
cana-1623	133	4	  	  	SPACE
cana-1623	133	5	|	|	ADV
cana-1623	133	6	𝜃(𝑗+1)&=𝜃(𝑗	𝜃(𝑗+1)&=𝜃(𝑗	NOUN
cana-1623	133	7	)	)	PUNCT
cana-1623	133	8	𝑑𝑡.	𝑑𝑡.	VERB
cana-1623	133	9	step	step	NOUN
cana-1623	133	10	3	3	NUM
cana-1623	133	11	.	.	PUNCT
cana-1623	133	12	𝜆(𝑗+1	𝜆(𝑗+1	PUNCT
cana-1623	133	13	)	)	PUNCT
cana-1623	134	1	=	=	PRON
cana-1623	134	2	𝑛(∑	𝑛(∑	NOUN
cana-1623	134	3	  	  	SPACE
cana-1623	134	4	𝑛	𝑛	PRON
cana-1623	134	5	𝑖=1	𝑖=1	PROPN
cana-1623	134	6	 	 	SPACE
cana-1623	134	7	𝐸1𝑖	𝐸1𝑖	PROPN
cana-1623	134	8	)	)	PUNCT
cana-1623	134	9	−1	−1	NOUN
cana-1623	134	10	from	from	ADP
cana-1623	134	11	above	above	ADP
cana-1623	134	12	equations	equation	NOUN
cana-1623	134	13	we	we	PRON
cana-1623	134	14	get	get	VERB
cana-1623	134	15	,	,	PUNCT
cana-1623	134	16	𝜂(𝑗+1	𝜂(𝑗+1	PUNCT
cana-1623	134	17	)	)	PUNCT
cana-1623	134	18	=	=	SYM
cana-1623	134	19	𝑛(∑	𝑛(∑	NOUN
cana-1623	134	20	  	  	SPACE
cana-1623	134	21	𝑛	𝑛	PRON
cana-1623	134	22	𝑖=1	𝑖=1	PROPN
cana-1623	134	23	 	 	SPACE
cana-1623	134	24	𝐸2𝑖	𝐸2𝑖	PROPN
cana-1623	135	1	−	−	VERB
cana-1623	135	2	𝜆	𝜆	SYM
cana-1623	135	3	(	(	PUNCT
cana-1623	135	4	𝑗)∑	𝑗)∑	ADJ
cana-1623	135	5	  	  	SPACE
cana-1623	135	6	𝑛	𝑛	PRON
cana-1623	135	7	𝑖=1	𝑖=1	PROPN
cana-1623	135	8	 	 	SPACE
cana-1623	135	9	𝐸3𝑖	𝐸3𝑖	PROPN
cana-1623	135	10	)	)	PUNCT
cana-1623	135	11	−1	−1	NOUN
cana-1623	136	1	step	step	NOUN
cana-1623	136	2	4	4	NUM
cana-1623	136	3	:	:	PUNCT
cana-1623	136	4	if	if	SCONJ
cana-1623	136	5	|𝜃(𝑗+1	|𝜃(𝑗+1	NUM
cana-1623	136	6	)	)	PUNCT
cana-1623	136	7	−	−	NOUN
cana-1623	137	1	𝜃(𝑗)|	𝜃(𝑗)|	CCONJ
cana-1623	137	2	<	<	X
cana-1623	137	3	𝜀	𝜀	PROPN
cana-1623	137	4	,	,	PUNCT
cana-1623	137	5	the	the	DET
cana-1623	137	6	mles	mle	NOUN
cana-1623	137	7	are	be	AUX
cana-1623	137	8	produced	produce	VERB
cana-1623	137	9	by	by	ADP
cana-1623	137	10	�	�	PROPN
cana-1623	137	11	̂	̂	NOUN
cana-1623	137	12	�	�	NOUN
cana-1623	137	13	𝑀𝐿	𝑀𝐿	NOUN
cana-1623	137	14	=	=	SYM
cana-1623	137	15	𝜆	𝜆	PROPN
cana-1623	137	16	(	(	PUNCT
cana-1623	137	17	𝑗	𝑗	NOUN
cana-1623	137	18	)	)	PUNCT
cana-1623	137	19	and	and	CCONJ
cana-1623	137	20	�	�	PROPN
cana-1623	137	21	̂	̂	NOUN
cana-1623	137	22	�	�	NOUN
cana-1623	137	23	𝑀𝐿	𝑀𝐿	NOUN
cana-1623	137	24	=	=	SYM
cana-1623	137	25	𝜂	𝜂	PROPN
cana-1623	137	26	(	(	PUNCT
cana-1623	137	27	𝑗	𝑗	NOUN
cana-1623	137	28	)	)	PUNCT
cana-1623	137	29	.	.	PUNCT
cana-1623	138	1	if	if	SCONJ
cana-1623	138	2	not	not	PART
cana-1623	138	3	,	,	PUNCT
cana-1623	138	4	set	set	VERB
cana-1623	138	5	𝑗	𝑗	NOUN
cana-1623	138	6	=	=	X
cana-1623	138	7	𝑗	𝑗	PROPN
cana-1623	139	1	+	+	NUM
cana-1623	139	2	1	1	NUM
cana-1623	139	3	and	and	CCONJ
cana-1623	139	4	go	go	VERB
cana-1623	139	5	back	back	ADV
cana-1623	139	6	to	to	PART
cana-1623	139	7	step	step	NOUN
cana-1623	139	8	2	2	NUM
cana-1623	139	9	.	.	PUNCT
cana-1623	140	1	the	the	DET
cana-1623	140	2	mle⁡	mle⁡	PROPN
cana-1623	140	3	mle	mle	PROPN
cana-1623	140	4	�	�	PROPN
cana-1623	140	5	̂	̂	VERB
cana-1623	140	6	�	�	NOUN
cana-1623	140	7	𝑀𝐿(𝑡)can	𝑀𝐿(𝑡)can	NOUN
cana-1623	140	8	be	be	AUX
cana-1623	140	9	calculated	calculate	VERB
cana-1623	140	10	using	use	VERB
cana-1623	140	11	maximum	maximum	ADJ
cana-1623	140	12	likelihood	likelihood	NOUN
cana-1623	140	13	estimation	estimation	NOUN
cana-1623	140	14	invariance	invariance	NOUN
cana-1623	140	15	as	as	SCONJ
cana-1623	140	16	follows	follow	VERB
cana-1623	140	17	:	:	PUNCT
cana-1623	140	18	�	�	NOUN
cana-1623	140	19	̂	̂	NOUN
cana-1623	140	20	�	�	NOUN
cana-1623	140	21	𝑀𝐿(𝑡	𝑀𝐿(𝑡	NOUN
cana-1623	140	22	)	)	PUNCT
cana-1623	140	23	=	=	SYM
cana-1623	140	24	1	1	NUM
cana-1623	140	25	−	−	NOUN
cana-1623	140	26	exp	exp	NOUN
cana-1623	140	27	(	(	PUNCT
cana-1623	140	28	−	−	PROPN
cana-1623	140	29	�	�	PROPN
cana-1623	140	30	̂	̂	NOUN
cana-1623	140	31	�	�	NOUN
cana-1623	140	32	𝑀𝐿𝑡	𝑀𝐿𝑡	NOUN
cana-1623	140	33	−	−	NUM
cana-1623	140	34	�	�	PROPN
cana-1623	140	35	̂	̂	NOUN
cana-1623	140	36	�	�	NOUN
cana-1623	140	37	𝑀𝐿	𝑀𝐿	PROPN
cana-1623	140	38	)	)	PUNCT
cana-1623	140	39	2.5	2.5	NUM
cana-1623	140	40	bayesian	bayesian	NOUN
cana-1623	140	41	estimation	estimation	NOUN
cana-1623	140	42	in	in	ADP
cana-1623	140	43	bayesian	bayesian	NOUN
cana-1623	140	44	statistical	statistical	ADJ
cana-1623	140	45	inference	inference	NOUN
cana-1623	140	46	,	,	PUNCT
cana-1623	140	47	the	the	DET
cana-1623	140	48	prior	prior	ADJ
cana-1623	140	49	distribution	distribution	NOUN
cana-1623	140	50	is	be	AUX
cana-1623	140	51	important	important	ADJ
cana-1623	140	52	.	.	PUNCT
cana-1623	141	1	it	it	PRON
cana-1623	141	2	indicates	indicate	VERB
cana-1623	141	3	our	our	PRON
cana-1623	141	4	prior	prior	ADJ
cana-1623	141	5	knowledge	knowledge	NOUN
cana-1623	141	6	or	or	CCONJ
cana-1623	141	7	assumption	assumption	NOUN
cana-1623	141	8	about	about	ADP
cana-1623	141	9	the	the	DET
cana-1623	141	10	parameters	parameter	NOUN
cana-1623	141	11	and	and	CCONJ
cana-1623	141	12	can	can	AUX
cana-1623	141	13	be	be	AUX
cana-1623	141	14	used	use	VERB
cana-1623	141	15	to	to	PART
cana-1623	141	16	better	well	ADV
cana-1623	141	17	precisely	precisely	ADV
cana-1623	141	18	predict	predict	VERB
cana-1623	141	19	the	the	DET
cana-1623	141	20	posterior	posterior	ADJ
cana-1623	141	21	distribution	distribution	NOUN
cana-1623	141	22	.choosing	.choose	VERB
cana-1623	141	23	an	an	DET
cana-1623	141	24	appropriate	appropriate	ADJ
cana-1623	141	25	prior	prior	ADJ
cana-1623	141	26	distribution	distribution	NOUN
cana-1623	141	27	is	be	AUX
cana-1623	141	28	critical	critical	ADJ
cana-1623	141	29	since	since	SCONJ
cana-1623	141	30	it	it	PRON
cana-1623	141	31	influences	influence	VERB
cana-1623	141	32	the	the	DET
cana-1623	141	33	final	final	ADJ
cana-1623	141	34	inference	inference	NOUN
cana-1623	141	35	results	result	NOUN
cana-1623	141	36	.	.	PUNCT
cana-1623	142	1	the	the	DET
cana-1623	142	2	gamma	gamma	NOUN
cana-1623	142	3	distribution	distribution	NOUN
cana-1623	142	4	is	be	AUX
cana-1623	142	5	a	a	DET
cana-1623	142	6	versatile	versatile	ADV
cana-1623	142	7	continuous	continuous	ADJ
cana-1623	142	8	probability	probability	NOUN
cana-1623	142	9	distribution	distribution	NOUN
cana-1623	142	10	with	with	ADP
cana-1623	142	11	numerous	numerous	ADJ
cana-1623	142	12	desirable	desirable	ADJ
cana-1623	142	13	qualities	quality	NOUN
cana-1623	142	14	,	,	PUNCT
cana-1623	142	15	making	make	VERB
cana-1623	142	16	it	it	PRON
cana-1623	142	17	a	a	DET
cana-1623	142	18	popular	popular	ADJ
cana-1623	142	19	candidate	candidate	NOUN
cana-1623	142	20	for	for	ADP
cana-1623	142	21	the	the	DET
cana-1623	142	22	prior	prior	ADJ
cana-1623	142	23	distribution	distribution	NOUN
cana-1623	142	24	of	of	ADP
cana-1623	142	25	parameters	parameter	NOUN
cana-1623	142	26	in	in	ADP
cana-1623	142	27	bayesian	bayesian	NOUN
cana-1623	142	28	statistics	statistic	NOUN
cana-1623	142	29	.	.	PUNCT
cana-1623	143	1	the	the	DET
cana-1623	143	2	parameters	parameter	NOUN
cana-1623	143	3	of	of	ADP
cana-1623	143	4	the	the	DET
cana-1623	143	5	gamma	gamma	NOUN
cana-1623	143	6	distribution	distribution	NOUN
cana-1623	143	7	can	can	AUX
cana-1623	143	8	be	be	AUX
cana-1623	143	9	changed	change	VERB
cana-1623	143	10	to	to	PART
cana-1623	143	11	fit	fit	VERB
cana-1623	143	12	various	various	ADJ
cana-1623	143	13	prior	prior	ADJ
cana-1623	143	14	beliefs	belief	NOUN
cana-1623	143	15	.	.	PUNCT
cana-1623	144	1	furthermore	furthermore	ADV
cana-1623	144	2	,	,	PUNCT
cana-1623	144	3	the	the	DET
cana-1623	144	4	gamma	gamma	NOUN
cana-1623	144	5	distribution	distribution	NOUN
cana-1623	144	6	is	be	AUX
cana-1623	144	7	conjugate	conjugate	ADJ
cana-1623	144	8	,	,	PUNCT
cana-1623	144	9	which	which	PRON
cana-1623	144	10	means	mean	VERB
cana-1623	144	11	that	that	SCONJ
cana-1623	144	12	when	when	SCONJ
cana-1623	144	13	employed	employ	VERB
cana-1623	144	14	as	as	ADP
cana-1623	144	15	a	a	DET
cana-1623	144	16	prior	prior	ADJ
cana-1623	144	17	distribution	distribution	NOUN
cana-1623	144	18	,	,	PUNCT
cana-1623	144	19	the	the	DET
cana-1623	144	20	communications	communication	NOUN
cana-1623	144	21	on	on	ADP
cana-1623	144	22	applied	apply	VERB
cana-1623	144	23	nonlinear	nonlinear	ADJ
cana-1623	144	24	analysis	analysis	NOUN
cana-1623	144	25	issn	issn	NOUN
cana-1623	144	26	:	:	PUNCT
cana-1623	144	27	1074	1074	NUM
cana-1623	144	28	-	-	PUNCT
cana-1623	144	29	133x	133x	NUM
cana-1623	144	30	vol	vol	NOUN
cana-1623	144	31	32	32	NUM
cana-1623	144	32	no	no	NOUN
cana-1623	144	33	.	.	NOUN
cana-1623	144	34	1	1	NUM
cana-1623	144	35	(	(	PUNCT
cana-1623	144	36	2025	2025	NUM
cana-1623	144	37	)	)	PUNCT
cana-1623	144	38	97	97	NUM
cana-1623	144	39	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-1623	144	40	product	product	NOUN
cana-1623	144	41	with	with	ADP
cana-1623	144	42	the	the	DET
cana-1623	144	43	likelihood	likelihood	NOUN
cana-1623	144	44	function	function	NOUN
cana-1623	144	45	remains	remain	VERB
cana-1623	144	46	a	a	DET
cana-1623	144	47	gamma	gamma	NOUN
cana-1623	144	48	distribution	distribution	NOUN
cana-1623	144	49	;	;	PUNCT
cana-1623	144	50	simplifying	simplify	VERB
cana-1623	144	51	posterior	posterior	ADJ
cana-1623	144	52	distribution	distribution	NOUN
cana-1623	144	53	computations	computation	NOUN
cana-1623	144	54	.the	.the	X
cana-1623	145	1	pdf	pdf	NOUN
cana-1623	145	2	for	for	ADP
cana-1623	145	3	the	the	DET
cana-1623	145	4	gamma	gamma	NOUN
cana-1623	145	5	distribution	distribution	NOUN
cana-1623	145	6	is	be	AUX
cana-1623	145	7	[	[	X
cana-1623	145	8	11	11	NUM
cana-1623	145	9	]	]	PUNCT
cana-1623	145	10	𝜋(𝜔	𝜋(𝜔	NOUN
cana-1623	145	11	)	)	PUNCT
cana-1623	145	12	=	=	PRON
cana-1623	145	13	𝑏𝑎	𝑏𝑎	X
cana-1623	145	14	γ(𝑎	γ(𝑎	PROPN
cana-1623	145	15	)	)	PUNCT
cana-1623	145	16	𝜔𝑎−1𝑒−𝑏𝜔	𝜔𝑎−1𝑒−𝑏𝜔	ADP
cana-1623	145	17	,	,	PUNCT
cana-1623	145	18	𝜔	𝜔	X
cana-1623	145	19	>	>	X
cana-1623	145	20	0	0	NUM
cana-1623	145	21	,	,	PUNCT
cana-1623	145	22	𝑎	𝑎	NOUN
cana-1623	145	23	,	,	PUNCT
cana-1623	145	24	𝑏	𝑏	PROPN
cana-1623	145	25	>	>	X
cana-1623	145	26	0	0	PUNCT
cana-1623	145	27	in	in	ADP
cana-1623	145	28	this	this	DET
cana-1623	145	29	section	section	NOUN
cana-1623	145	30	,	,	PUNCT
cana-1623	145	31	we	we	PRON
cana-1623	145	32	assume	assume	VERB
cana-1623	145	33	that	that	SCONJ
cana-1623	145	34	λ	λ	PROPN
cana-1623	145	35	and	and	CCONJ
cana-1623	145	36	η	η	PROPN
cana-1623	145	37	are	be	AUX
cana-1623	145	38	independent	independent	ADJ
cana-1623	145	39	random	random	ADJ
cana-1623	145	40	variables	variable	NOUN
cana-1623	145	41	.	.	PUNCT
cana-1623	146	1	λ	λ	NOUN
cana-1623	146	2	follows	follow	VERB
cana-1623	146	3	gamma	gamma	NOUN
cana-1623	146	4	(	(	PUNCT
cana-1623	146	5	𝑐1	𝑐1	NOUN
cana-1623	146	6	,	,	PUNCT
cana-1623	146	7	𝑑1	𝑑1	NOUN
cana-1623	146	8	)	)	PUNCT
cana-1623	146	9	and	and	CCONJ
cana-1623	146	10	η	η	PROPN
cana-1623	146	11	follows	follow	VERB
cana-1623	146	12	gamma	gamma	NOUN
cana-1623	146	13	(	(	PUNCT
cana-1623	146	14	𝑐2	𝑐2	PROPN
cana-1623	146	15	,	,	PUNCT
cana-1623	146	16	𝑑2	𝑑2	NOUN
cana-1623	146	17	)	)	PUNCT
cana-1623	146	18	.	.	PUNCT
cana-1623	147	1	that	that	PRON
cana-1623	147	2	means	mean	VERB
cana-1623	147	3	:	:	PUNCT
cana-1623	147	4	𝜋1(𝜆	𝜋1(𝜆	X
cana-1623	147	5	)	)	PUNCT
cana-1623	147	6	∝	∝	PROPN
cana-1623	148	1	𝜆	𝜆	ADP
cana-1623	148	2	𝑑1−1𝑒−𝑐1𝜆𝜆	𝑑1−1𝑒−𝑐1𝜆𝜆	PROPN
cana-1623	148	3	>	>	X
cana-1623	148	4	0	0	PROPN
cana-1623	148	5	,	,	PUNCT
cana-1623	148	6	𝑐1	𝑐1	NOUN
cana-1623	148	7	>	>	X
cana-1623	148	8	0	0	NUM
cana-1623	148	9	,	,	PUNCT
cana-1623	148	10	𝑑1	𝑑1	NOUN
cana-1623	148	11	>	>	X
cana-1623	148	12	0	0	PUNCT
cana-1623	148	13	𝜋2(𝜂	𝜋2(𝜂	NUM
cana-1623	148	14	)	)	PUNCT
cana-1623	148	15	∝	∝	PROPN
cana-1623	148	16	𝜂	𝜂	X
cana-1623	148	17	𝑑2−1𝑒−𝑐2𝜂𝜂	𝑑2−1𝑒−𝑐2𝜂𝜂	PROPN
cana-1623	148	18	>	>	X
cana-1623	148	19	0	0	NUM
cana-1623	148	20	,	,	PUNCT
cana-1623	148	21	𝑐2	𝑐2	NOUN
cana-1623	148	22	>	>	X
cana-1623	148	23	0	0	NUM
cana-1623	148	24	,	,	PUNCT
cana-1623	148	25	𝑑2	𝑑2	VERB
cana-1623	148	26	>	>	X
cana-1623	148	27	0	0	X
cana-1623	148	28	.	.	PUNCT
cana-1623	149	1	thus	thus	ADV
cana-1623	149	2	,	,	PUNCT
cana-1623	149	3	the	the	DET
cana-1623	149	4	joint	joint	ADJ
cana-1623	149	5	prior	prior	ADJ
cana-1623	149	6	distribution	distribution	NOUN
cana-1623	149	7	of	of	ADP
cana-1623	149	8	𝜆	𝜆	PRON
cana-1623	149	9	and	and	CCONJ
cana-1623	149	10	𝜂	𝜂	NOUN
cana-1623	149	11	is	be	AUX
cana-1623	149	12	:	:	PUNCT
cana-1623	149	13	𝜋(𝜆	𝜋(𝜆	NOUN
cana-1623	149	14	,	,	PUNCT
cana-1623	149	15	𝜂	𝜂	NOUN
cana-1623	149	16	)	)	PUNCT
cana-1623	149	17	=	=	SYM
cana-1623	149	18	𝜋1(𝜆	𝜋1(𝜆	PROPN
cana-1623	149	19	)	)	PUNCT
cana-1623	149	20	×	×	NOUN
cana-1623	149	21	𝜋2(𝜂	𝜋2(𝜂	PROPN
cana-1623	149	22	)	)	PUNCT
cana-1623	149	23	∝	∝	PROPN
cana-1623	149	24	𝜆	𝜆	DET
cana-1623	149	25	𝑑1−1𝜂𝑑2−1𝑒−𝑐1𝜆−𝑐2𝜂	𝑑1−1𝜂𝑑2−1𝑒−𝑐1𝜆−𝑐2𝜂	NOUN
cana-1623	149	26	with	with	ADP
cana-1623	149	27	reference	reference	NOUN
cana-1623	149	28	to	to	ADP
cana-1623	149	29	the	the	DET
cana-1623	149	30	bayesian	bayesian	NOUN
cana-1623	149	31	formulation	formulation	NOUN
cana-1623	149	32	,	,	PUNCT
cana-1623	149	33	the	the	DET
cana-1623	149	34	posterior	posterior	ADJ
cana-1623	149	35	distribution	distribution	NOUN
cana-1623	149	36	of	of	ADP
cana-1623	149	37	𝜆	𝜆	PRON
cana-1623	149	38	and	and	CCONJ
cana-1623	149	39	𝜂	𝜂	NOUN
cana-1623	149	40	is	be	AUX
cana-1623	149	41	𝜋(𝜆	𝜋(𝜆	PROPN
cana-1623	149	42	,	,	PUNCT
cana-1623	149	43	𝜂	𝜂	PROPN
cana-1623	149	44	∣	∣	PROPN
cana-1623	149	45	�	�	PROPN
cana-1623	149	46	̃	̃	PROPN
cana-1623	149	47	�	�	PROPN
cana-1623	149	48	)∝	)∝	PUNCT
cana-1623	149	49	ℎ(𝜆	ℎ(𝜆	PROPN
cana-1623	149	50	,	,	PUNCT
cana-1623	149	51	𝜂	𝜂	PROPN
cana-1623	149	52	∣	∣	PROPN
cana-1623	149	53	�	�	PROPN
cana-1623	149	54	̃	̃	PROPN
cana-1623	149	55	�	�	PROPN
cana-1623	149	56	)	)	PUNCT
cana-1623	149	57	×	×	NOUN
cana-1623	149	58	𝜋(𝜆	𝜋(𝜆	PROPN
cana-1623	149	59	,	,	PUNCT
cana-1623	149	60	𝜂	𝜂	NOUN
cana-1623	149	61	)	)	PUNCT
cana-1623	149	62	the	the	DET
cana-1623	149	63	posterior	posterior	ADJ
cana-1623	149	64	expectation	expectation	NOUN
cana-1623	149	65	of	of	ADP
cana-1623	149	66	the	the	DET
cana-1623	149	67	function	function	NOUN
cana-1623	149	68	𝑔(𝜆	𝑔(𝜆	NOUN
cana-1623	149	69	,	,	PUNCT
cana-1623	149	70	𝜂	𝜂	NOUN
cana-1623	149	71	)	)	PUNCT
cana-1623	149	72	of	of	ADP
cana-1623	149	73	𝜆	𝜆	PRON
cana-1623	149	74	and	and	CCONJ
cana-1623	149	75	𝜂	𝜂	NOUN
cana-1623	149	76	is	be	AUX
cana-1623	149	77	:	:	PUNCT
cana-1623	149	78	𝐸[𝑔(𝜆	𝐸[𝑔(𝜆	NOUN
cana-1623	149	79	,	,	PUNCT
cana-1623	149	80	𝜂	𝜂	NOUN
cana-1623	149	81	)	)	PUNCT
cana-1623	149	82	∣	∣	PROPN
cana-1623	149	83	�	�	PROPN
cana-1623	149	84	̃	̃	PROPN
cana-1623	149	85	�	�	NOUN
cana-1623	149	86	]=	]=	NUM
cana-1623	149	87	∫	∫	NOUN
cana-1623	149	88	  	  	SPACE
cana-1623	150	1	+	+	PROPN
cana-1623	150	2	∞	∞	NOUN
cana-1623	150	3	0	0	NUM
cana-1623	150	4	 	 	SPACE
cana-1623	150	5	∫	∫	PROPN
cana-1623	150	6	  	  	SPACE
cana-1623	151	1	+	+	PROPN
cana-1623	151	2	∞	∞	PROPN
cana-1623	151	3	0	0	NUM
cana-1623	151	4	 	 	SPACE
cana-1623	151	5	𝑔(𝜆	𝑔(𝜆	NOUN
cana-1623	151	6	,	,	PUNCT
cana-1623	151	7	𝜂	𝜂	NOUN
cana-1623	151	8	)	)	PUNCT
cana-1623	151	9	𝜋(𝜆	𝜋(𝜆	PROPN
cana-1623	151	10	,	,	PUNCT
cana-1623	151	11	𝜂	𝜂	PROPN
cana-1623	151	12	∣	∣	PROPN
cana-1623	151	13	�	�	PROPN
cana-1623	151	14	̃	̃	PROPN
cana-1623	151	15	�	�	PROPN
cana-1623	151	16	)	)	PUNCT
cana-1623	151	17	∫	∫	PROPN
cana-1623	151	18	  	  	SPACE
cana-1623	152	1	+	+	NOUN
cana-1623	152	2	∞	∞	NOUN
cana-1623	152	3	0	0	NUM
cana-1623	152	4	 	 	SPACE
cana-1623	152	5	∫	∫	PROPN
cana-1623	152	6	  	  	SPACE
cana-1623	153	1	+	+	PROPN
cana-1623	153	2	∞	∞	PROPN
cana-1623	153	3	0	0	NUM
cana-1623	153	4	 	 	SPACE
cana-1623	153	5	𝜋(𝜆	𝜋(𝜆	PROPN
cana-1623	153	6	,	,	PUNCT
cana-1623	153	7	𝜂	𝜂	PROPN
cana-1623	153	8	∣	∣	PROPN
cana-1623	153	9	�	�	PROPN
cana-1623	153	10	̃	̃	PROPN
cana-1623	153	11	�	�	PROPN
cana-1623	153	12	)𝑑𝜆𝑑𝜂	)𝑑𝜆𝑑𝜂	PUNCT
cana-1623	153	13	𝑑𝜆𝑑𝜂	𝑑𝜆𝑑𝜂	VERB
cana-1623	153	14	𝐸[𝑔(𝜆	𝐸[𝑔(𝜆	NOUN
cana-1623	153	15	,	,	PUNCT
cana-1623	153	16	𝜂	𝜂	NOUN
cana-1623	153	17	)	)	PUNCT
cana-1623	153	18	∣	∣	PROPN
cana-1623	153	19	�	�	PROPN
cana-1623	153	20	̃	̃	PROPN
cana-1623	153	21	�	�	NOUN
cana-1623	153	22	]	]	X
cana-1623	153	23	=	=	SYM
cana-1623	153	24	∫𝑔(𝜆	∫𝑔(𝜆	NOUN
cana-1623	153	25	,	,	PUNCT
cana-1623	153	26	𝜂)𝑒𝐻(𝜆,𝜂∣	𝜂)𝑒𝐻(𝜆,𝜂∣	PROPN
cana-1623	153	27	�	�	PROPN
cana-1623	153	28	̃	̃	PROPN
cana-1623	153	29	�	�	NOUN
cana-1623	153	30	)+𝐺(𝜆,𝜂)𝑑(𝜆	)+𝐺(𝜆,𝜂)𝑑(𝜆	PROPN
cana-1623	153	31	,	,	PUNCT
cana-1623	153	32	𝜂	𝜂	NOUN
cana-1623	153	33	)	)	PUNCT
cana-1623	153	34	∫	∫	PROPN
cana-1623	153	35	𝑒𝐻(𝜆,𝜂∣	𝑒𝐻(𝜆,𝜂∣	PROPN
cana-1623	153	36	�	�	PROPN
cana-1623	153	37	̃	̃	PROPN
cana-1623	153	38	�	�	NOUN
cana-1623	153	39	)+𝐺(𝜆,𝜂)𝑑(𝜆	)+𝐺(𝜆,𝜂)𝑑(𝜆	PROPN
cana-1623	153	40	,	,	PUNCT
cana-1623	153	41	𝜂	𝜂	NOUN
cana-1623	153	42	)	)	PUNCT
cana-1623	153	43	where	where	SCONJ
cana-1623	153	44	𝐺(𝜆	𝐺(𝜆	NOUN
cana-1623	153	45	,	,	PUNCT
cana-1623	153	46	𝜂	𝜂	NOUN
cana-1623	153	47	)	)	PUNCT
cana-1623	153	48	=	=	PUNCT
cana-1623	153	49	ln	ln	ADJ
cana-1623	153	50	𝜋(𝜆	𝜋(𝜆	PROPN
cana-1623	153	51	,	,	PUNCT
cana-1623	153	52	𝜂	𝜂	NOUN
cana-1623	153	53	)	)	PUNCT
cana-1623	153	54	.	.	PUNCT
cana-1623	154	1	𝐸[𝑔(𝜆	𝐸[𝑔(𝜆	NOUN
cana-1623	154	2	,	,	PUNCT
cana-1623	154	3	𝜂	𝜂	NOUN
cana-1623	154	4	)	)	PUNCT
cana-1623	154	5	∣∣	∣∣	NUM
cana-1623	154	6	�	�	PROPN
cana-1623	154	7	̃	̃	NOUN
cana-1623	154	8	�	�	NOUN
cana-1623	154	9	]	]	PUNCT
cana-1623	154	10	=	=	SYM
cana-1623	154	11	𝑔(𝜆	𝑔(𝜆	NOUN
cana-1623	154	12	ˆ𝑀𝐿	ˆ𝑀𝐿	NOUN
cana-1623	154	13	,	,	PUNCT
cana-1623	154	14	𝜂	𝜂	DET
cana-1623	154	15	ˆ𝑀𝐿	ˆ𝑀𝐿	NUM
cana-1623	154	16	)	)	PUNCT
cana-1623	154	17	+	+	CCONJ
cana-1623	154	18	1	1	NUM
cana-1623	154	19	2(𝐴	2(𝐴	NOUN
cana-1623	154	20	+	+	CCONJ
cana-1623	154	21	𝐵	𝐵	NOUN
cana-1623	154	22	+	+	CCONJ
cana-1623	154	23	𝐶	𝐶	PROPN
cana-1623	154	24	+	+	CCONJ
cana-1623	154	25	𝐷	𝐷	NOUN
cana-1623	154	26	)	)	PUNCT
cana-1623	154	27	𝐴	𝐴	NOUN
cana-1623	154	28	=	=	PUNCT
cana-1623	154	29	(	(	PUNCT
cana-1623	154	30	𝑔	𝑔	PROPN
cana-1623	154	31	ˆ𝜆𝜆	ˆ𝜆𝜆	NOUN
cana-1623	154	32	+	+	CCONJ
cana-1623	154	33	2𝑔	2𝑔	NUM
cana-1623	154	34	ˆ𝜆𝐺	ˆ𝜆𝐺	PROPN
cana-1623	154	35	ˆ𝜆)𝜙	ˆ𝜆)𝜙	PROPN
cana-1623	154	36	ˆ𝜆𝜆	ˆ𝜆𝜆	NOUN
cana-1623	154	37	+	+	CCONJ
cana-1623	154	38	(	(	PUNCT
cana-1623	154	39	𝑔	𝑔	PROPN
cana-1623	154	40	ˆ𝜂𝜆	ˆ𝜂𝜆	NOUN
cana-1623	154	41	+	+	CCONJ
cana-1623	154	42	2𝑔	2𝑔	NUM
cana-1623	154	43	ˆ𝜂𝐺	ˆ𝜂𝐺	PROPN
cana-1623	154	44	ˆ𝜆)𝜙	ˆ𝜆)𝜙	PROPN
cana-1623	154	45	ˆ𝜂𝜆	ˆ𝜂𝜆	NOUN
cana-1623	154	46	𝐵	𝐵	NOUN
cana-1623	154	47	=	=	SYM
cana-1623	154	48	(	(	PUNCT
cana-1623	154	49	𝑔	𝑔	PROPN
cana-1623	154	50	ˆ𝜆𝜂	ˆ𝜆𝜂	NOUN
cana-1623	154	51	+	+	CCONJ
cana-1623	154	52	2𝑔	2𝑔	NUM
cana-1623	154	53	ˆ𝜆𝐺	ˆ𝜆𝐺	PROPN
cana-1623	154	54	ˆ𝜂)𝜙	ˆ𝜂)𝜙	PROPN
cana-1623	154	55	ˆ𝜆𝜂	ˆ𝜆𝜂	NOUN
cana-1623	154	56	+	+	CCONJ
cana-1623	154	57	(	(	PUNCT
cana-1623	154	58	𝑔	𝑔	PROPN
cana-1623	154	59	ˆ𝜂𝜂	ˆ𝜂𝜂	PROPN
cana-1623	154	60	+	+	CCONJ
cana-1623	154	61	2𝑔	2𝑔	NUM
cana-1623	154	62	ˆ𝜂𝐺	ˆ𝜂𝐺	PROPN
cana-1623	154	63	ˆ𝜂)𝜙	ˆ𝜂)𝜙	PROPN
cana-1623	154	64	ˆ𝜂𝜂	ˆ𝜂𝜂	PROPN
cana-1623	154	65	𝐶	𝐶	PROPN
cana-1623	154	66	=	=	SYM
cana-1623	154	67	(	(	PUNCT
cana-1623	154	68	𝑔	𝑔	NOUN
cana-1623	154	69	ˆ𝜆𝜙	ˆ𝜆𝜙	NOUN
cana-1623	154	70	ˆ𝜆𝜆	ˆ𝜆𝜆	NOUN
cana-1623	154	71	+	+	CCONJ
cana-1623	154	72	𝑔	𝑔	NUM
cana-1623	154	73	ˆ𝜂𝜙	ˆ𝜂𝜙	DET
cana-1623	154	74	ˆ𝜆𝜂)(𝐻	ˆ𝜆𝜂)(𝐻	NOUN
cana-1623	154	75	ˆ𝜆𝜆𝜆𝜙	ˆ𝜆𝜆𝜆𝜙	NOUN
cana-1623	154	76	ˆ𝜆𝜆	ˆ𝜆𝜆	NOUN
cana-1623	154	77	+	+	CCONJ
cana-1623	154	78	𝐻	𝐻	NOUN
cana-1623	154	79	ˆ𝜂𝜆𝜆𝜙	ˆ𝜂𝜆𝜆𝜙	ADJ
cana-1623	154	80	ˆ𝜂𝜆	ˆ𝜂𝜆	NOUN
cana-1623	155	1	+	+	CCONJ
cana-1623	155	2	𝐻	𝐻	PROPN
cana-1623	155	3	ˆ𝜆𝜂𝜆𝜙	ˆ𝜆𝜂𝜆𝜙	ADJ
cana-1623	155	4	ˆ𝜆𝜂	ˆ𝜆𝜂	NOUN
cana-1623	155	5	+	+	CCONJ
cana-1623	155	6	𝐻	𝐻	PROPN
cana-1623	155	7	ˆ𝜂𝜂𝜆𝜙	ˆ𝜂𝜂𝜆𝜙	ADJ
cana-1623	155	8	ˆ𝜂𝜂	ˆ𝜂𝜂	NOUN
cana-1623	155	9	)	)	PUNCT
cana-1623	155	10	𝐷	𝐷	NOUN
cana-1623	155	11	=	=	SYM
cana-1623	155	12	(	(	PUNCT
cana-1623	155	13	𝑔	𝑔	NOUN
cana-1623	155	14	ˆ𝜆𝜙	ˆ𝜆𝜙	NOUN
cana-1623	155	15	ˆ𝜂𝜆	ˆ𝜂𝜆	NOUN
cana-1623	156	1	+	+	CCONJ
cana-1623	156	2	𝑔	𝑔	PROPN
cana-1623	156	3	ˆ𝜂𝜙	ˆ𝜂𝜙	PRON
cana-1623	156	4	ˆ𝜂𝜂)(𝐻	ˆ𝜂𝜂)(𝐻	NOUN
cana-1623	156	5	ˆ𝜆𝜆𝜂𝜙	ˆ𝜆𝜆𝜂𝜙	NOUN
cana-1623	156	6	ˆ𝜆𝜆	ˆ𝜆𝜆	NOUN
cana-1623	156	7	+	+	NOUN
cana-1623	156	8	𝐻	𝐻	PROPN
cana-1623	156	9	ˆ𝜂𝜆𝜂𝜙	ˆ𝜂𝜆𝜂𝜙	NOUN
cana-1623	156	10	ˆ𝜂𝜆	ˆ𝜂𝜆	NOUN
cana-1623	157	1	+	+	CCONJ
cana-1623	157	2	𝐻	𝐻	PROPN
cana-1623	157	3	ˆ𝜆𝜂𝜂𝜙	ˆ𝜆𝜂𝜂𝜙	NOUN
cana-1623	157	4	ˆ𝜆𝜂	ˆ𝜆𝜂	NOUN
cana-1623	157	5	+	+	CCONJ
cana-1623	157	6	𝐻	𝐻	PROPN
cana-1623	157	7	ˆ𝜂𝜂𝜂𝜙	ˆ𝜂𝜂𝜂𝜙	NOUN
cana-1623	157	8	ˆ𝜂𝜂	ˆ𝜂𝜂	NOUN
cana-1623	157	9	)	)	PUNCT
cana-1623	157	10	the	the	DET
cana-1623	157	11	element	element	NOUN
cana-1623	157	12	𝜙𝑖𝑗(𝑖	𝜙𝑖𝑗(𝑖	PROPN
cana-1623	157	13	,	,	PUNCT
cana-1623	157	14	𝑗	𝑗	PROPN
cana-1623	157	15	=	=	SYM
cana-1623	157	16	𝜆	𝜆	NOUN
cana-1623	157	17	,	,	PUNCT
cana-1623	157	18	𝜂)represents	𝜂)represent	VERB
cana-1623	157	19	the	the	DET
cana-1623	157	20	inverse	inverse	NOUN
cana-1623	157	21	matrix	matrix	NOUN
cana-1623	157	22	of	of	ADP
cana-1623	157	23	−𝐻𝑖𝑗	−𝐻𝑖𝑗	NUM
cana-1623	157	24	..	..	PUNCT
cana-1623	157	25	the	the	DET
cana-1623	157	26	symbol	symbol	NOUN
cana-1623	157	27	�	�	PROPN
cana-1623	157	28	̂	̂	NOUN
cana-1623	157	29	�	�	NOUN
cana-1623	157	30	𝜆𝜆	𝜆𝜆	NOUN
cana-1623	157	31	signifies	signifie	NOUN
cana-1623	157	32	taking	take	VERB
cana-1623	157	33	the	the	DET
cana-1623	157	34	second	second	ADJ
cana-1623	157	35	derivative	derivative	NOUN
cana-1623	157	36	of	of	ADP
cana-1623	157	37	𝑔(𝜆	𝑔(𝜆	NOUN
cana-1623	157	38	,	,	PUNCT
cana-1623	157	39	𝜂	𝜂	NOUN
cana-1623	157	40	)	)	PUNCT
cana-1623	157	41	with	with	ADP
cana-1623	157	42	regard	regard	NOUN
cana-1623	157	43	to	to	ADP
cana-1623	157	44	λ	λ	PROPN
cana-1623	157	45	and	and	CCONJ
cana-1623	157	46	putting	put	VERB
cana-1623	157	47	�	�	PROPN
cana-1623	157	48	̂	̂	NUM
cana-1623	157	49	�	�	NOUN
cana-1623	157	50	𝑀𝐿	𝑀𝐿	PROPN
cana-1623	157	51	into	into	ADP
cana-1623	157	52	it	it	PRON
cana-1623	157	53	.	.	PUNCT
cana-1623	158	1	similarly	similarly	ADV
cana-1623	158	2	,	,	PUNCT
cana-1623	158	3	the	the	DET
cana-1623	158	4	rest	rest	NOUN
cana-1623	158	5	can	can	AUX
cana-1623	158	6	be	be	AUX
cana-1623	158	7	illustrated	illustrate	VERB
cana-1623	158	8	as	as	SCONJ
cana-1623	158	9	follows	follow	VERB
cana-1623	158	10	:	:	PUNCT
cana-1623	158	11	𝐻𝜆𝜆𝜆	𝐻𝜆𝜆𝜆	PROPN
cana-1623	158	12	=	=	PROPN
cana-1623	158	13	∑	∑	NOUN
cana-1623	158	14	  	  	SPACE
cana-1623	158	15	𝑛	𝑛	PRON
cana-1623	158	16	𝑖=1	𝑖=1	PROPN
cana-1623	158	17	  	  	SPACE
cana-1623	159	1	[	[	X
cana-1623	159	2	2ℎ−3(𝜆	2ℎ−3(𝜆	NUM
cana-1623	159	3	,	,	PUNCT
cana-1623	159	4	𝜂	𝜂	PROPN
cana-1623	159	5	∣	∣	PROPN
cana-1623	159	6	�	�	PROPN
cana-1623	159	7	̃	̃	PROPN
cana-1623	159	8	�	�	NOUN
cana-1623	159	9	𝑖	𝑖	NUM
cana-1623	159	10	)	)	PUNCT
cana-1623	159	11	(	(	PUNCT
cana-1623	159	12	∫	∫	PROPN
cana-1623	159	13	  	  	SPACE
cana-1623	160	1	+	+	PROPN
cana-1623	160	2	∞	∞	PROPN
cana-1623	160	3	0	0	NUM
cana-1623	160	4	  	  	SPACE
cana-1623	160	5	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	160	6	)	)	PUNCT
cana-1623	160	7	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	160	8	;	;	PUNCT
cana-1623	160	9	𝜆	𝜆	X
cana-1623	160	10	,	,	PUNCT
cana-1623	160	11	𝜂	𝜂	NOUN
cana-1623	160	12	)	)	PUNCT
cana-1623	160	13	∂𝜆	∂𝜆	PROPN
cana-1623	160	14	𝑑𝑡	𝑑𝑡	ADP
cana-1623	160	15	)	)	PUNCT
cana-1623	160	16	3	3	NUM
cana-1623	160	17	−	−	NOUN
cana-1623	160	18	ℎ−1(𝜆	ℎ−1(𝜆	NOUN
cana-1623	160	19	,	,	PUNCT
cana-1623	160	20	𝜂	𝜂	PROPN
cana-1623	160	21	∣	∣	PROPN
cana-1623	160	22	�	�	PROPN
cana-1623	160	23	̃	̃	PROPN
cana-1623	160	24	�	�	NOUN
cana-1623	160	25	𝑖)∫	𝑖)∫	PROPN
cana-1623	160	26	  	  	SPACE
cana-1623	160	27	+	+	PROPN
cana-1623	160	28	∞	∞	PROPN
cana-1623	160	29	0	0	NUM
cana-1623	160	30	 	 	SPACE
cana-1623	160	31	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	160	32	)	)	PUNCT
cana-1623	160	33	∂3𝑦(𝑡	∂3𝑦(𝑡	NUM
cana-1623	160	34	;	;	PUNCT
cana-1623	160	35	𝜆	𝜆	X
cana-1623	160	36	,	,	PUNCT
cana-1623	160	37	𝜂	𝜂	NOUN
cana-1623	160	38	)	)	PUNCT
cana-1623	160	39	∂𝜆3	∂𝜆3	PROPN
cana-1623	160	40	𝑑𝑡	𝑑𝑡	ADP
cana-1623	160	41	]	]	X
cana-1623	160	42	𝐻𝜆𝜆𝜂	𝐻𝜆𝜆𝜂	PROPN
cana-1623	160	43	=	=	SYM
cana-1623	160	44	𝐻𝜆𝜂𝜆	𝐻𝜆𝜂𝜆	PROPN
cana-1623	160	45	=	=	SYM
cana-1623	160	46	𝐻𝜂𝜆𝜆	𝐻𝜂𝜆𝜆	PROPN
cana-1623	160	47	communications	communication	NOUN
cana-1623	160	48	on	on	ADP
cana-1623	160	49	applied	apply	VERB
cana-1623	160	50	nonlinear	nonlinear	ADJ
cana-1623	160	51	analysis	analysis	NOUN
cana-1623	160	52	issn	issn	NOUN
cana-1623	160	53	:	:	PUNCT
cana-1623	160	54	1074	1074	NUM
cana-1623	160	55	-	-	PUNCT
cana-1623	160	56	133x	133x	NUM
cana-1623	160	57	vol	vol	NOUN
cana-1623	160	58	32	32	NUM
cana-1623	160	59	no	no	NOUN
cana-1623	160	60	.	.	NOUN
cana-1623	160	61	1	1	NUM
cana-1623	160	62	(	(	PUNCT
cana-1623	160	63	2025	2025	NUM
cana-1623	160	64	)	)	PUNCT
cana-1623	160	65	98	98	NUM
cana-1623	160	66	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	160	67	=	=	PUNCT
cana-1623	160	68	∑	∑	NOUN
cana-1623	160	69	  	  	SPACE
cana-1623	160	70	𝑛	𝑛	PRON
cana-1623	160	71	𝑖=1	𝑖=1	PROPN
cana-1623	160	72	  	  	SPACE
cana-1623	161	1	[	[	X
cana-1623	161	2	2ℎ−3(𝜆	2ℎ−3(𝜆	NUM
cana-1623	161	3	,	,	PUNCT
cana-1623	161	4	𝜂	𝜂	PROPN
cana-1623	161	5	∣	∣	PROPN
cana-1623	161	6	�	�	PROPN
cana-1623	161	7	̃	̃	PROPN
cana-1623	161	8	�	�	NOUN
cana-1623	161	9	𝑖)∫	𝑖)∫	PROPN
cana-1623	161	10	  	  	SPACE
cana-1623	161	11	+	+	PROPN
cana-1623	161	12	∞	∞	PROPN
cana-1623	161	13	0	0	NUM
cana-1623	161	14	  	  	SPACE
cana-1623	161	15	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	161	16	)	)	PUNCT
cana-1623	161	17	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	161	18	;	;	PUNCT
cana-1623	161	19	𝜆	𝜆	X
cana-1623	161	20	,	,	PUNCT
cana-1623	161	21	𝜂	𝜂	NOUN
cana-1623	161	22	)	)	PUNCT
cana-1623	161	23	∂𝜂	∂𝜂	PROPN
cana-1623	161	24	𝑑𝑡	𝑑𝑡	ADP
cana-1623	161	25	(	(	PUNCT
cana-1623	161	26	∫	∫	PROPN
cana-1623	161	27	  	  	SPACE
cana-1623	161	28	+	+	PROPN
cana-1623	161	29	∞	∞	PROPN
cana-1623	161	30	0	0	NUM
cana-1623	161	31	  	  	SPACE
cana-1623	161	32	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	161	33	)	)	PUNCT
cana-1623	161	34	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	161	35	;	;	PUNCT
cana-1623	161	36	𝜆	𝜆	X
cana-1623	161	37	,	,	PUNCT
cana-1623	161	38	𝜂	𝜂	NOUN
cana-1623	161	39	)	)	PUNCT
cana-1623	161	40	∂𝜆	∂𝜆	PROPN
cana-1623	161	41	𝑑𝑡	𝑑𝑡	ADP
cana-1623	161	42	)	)	PUNCT
cana-1623	161	43	2	2	NUM
cana-1623	161	44	]	]	PUNCT
cana-1623	161	45	−∑	−∑	PROPN
cana-1623	161	46	  	  	SPACE
cana-1623	161	47	𝑛	𝑛	PRON
cana-1623	161	48	𝑖=1	𝑖=1	PROPN
cana-1623	161	49	  	  	SPACE
cana-1623	162	1	[	[	X
cana-1623	162	2	ℎ−2(𝜆	ℎ−2(𝜆	PROPN
cana-1623	162	3	,	,	PUNCT
cana-1623	162	4	𝜂	𝜂	PROPN
cana-1623	162	5	∣	∣	PROPN
cana-1623	162	6	�	�	PROPN
cana-1623	162	7	̃	̃	PROPN
cana-1623	162	8	�	�	NOUN
cana-1623	162	9	𝑖)∫	𝑖)∫	PROPN
cana-1623	162	10	  	  	SPACE
cana-1623	162	11	+	+	PROPN
cana-1623	162	12	∞	∞	PROPN
cana-1623	162	13	0	0	NUM
cana-1623	162	14	  	  	SPACE
cana-1623	162	15	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	162	16	)	)	PUNCT
cana-1623	162	17	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	162	18	;	;	PUNCT
cana-1623	162	19	𝜆	𝜆	X
cana-1623	162	20	,	,	PUNCT
cana-1623	162	21	𝜂	𝜂	NOUN
cana-1623	162	22	)	)	PUNCT
cana-1623	162	23	∂𝜂	∂𝜂	PROPN
cana-1623	162	24	𝑑𝑡∫	𝑑𝑡∫	NOUN
cana-1623	162	25	  	  	SPACE
cana-1623	162	26	+	+	PROPN
cana-1623	162	27	∞	∞	PROPN
cana-1623	162	28	0	0	NUM
cana-1623	162	29	  	  	SPACE
cana-1623	162	30	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	162	31	)	)	PUNCT
cana-1623	162	32	∂2𝑦(𝑡	∂2𝑦(𝑡	ADV
cana-1623	162	33	;	;	PUNCT
cana-1623	162	34	𝜆	𝜆	X
cana-1623	162	35	,	,	PUNCT
cana-1623	162	36	𝜂	𝜂	NOUN
cana-1623	162	37	)	)	PUNCT
cana-1623	162	38	∂𝜆2	∂𝜆2	NOUN
cana-1623	162	39	𝑑𝑡	𝑑𝑡	ADP
cana-1623	162	40	]	]	X
cana-1623	162	41	+	+	ADJ
cana-1623	162	42	∑	∑	PROPN
cana-1623	162	43	  	  	SPACE
cana-1623	162	44	𝑛	𝑛	PRON
cana-1623	162	45	𝑖=1	𝑖=1	PROPN
cana-1623	162	46	 	 	SPACE
cana-1623	162	47	ℎ−1(𝜆	ℎ−1(𝜆	NOUN
cana-1623	162	48	,	,	PUNCT
cana-1623	162	49	𝜂	𝜂	PROPN
cana-1623	162	50	∣	∣	PROPN
cana-1623	162	51	�	�	PROPN
cana-1623	162	52	̃	̃	PROPN
cana-1623	162	53	�	�	NOUN
cana-1623	162	54	𝑖)∫	𝑖)∫	PROPN
cana-1623	162	55	  	  	SPACE
cana-1623	162	56	+	+	PROPN
cana-1623	162	57	∞	∞	PROPN
cana-1623	162	58	0	0	NUM
cana-1623	162	59	  	  	SPACE
cana-1623	162	60	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	162	61	)	)	PUNCT
cana-1623	162	62	∂3𝑦(𝑡	∂3𝑦(𝑡	NUM
cana-1623	162	63	;	;	PUNCT
cana-1623	162	64	𝜆	𝜆	X
cana-1623	162	65	,	,	PUNCT
cana-1623	162	66	𝜂	𝜂	NOUN
cana-1623	162	67	)	)	PUNCT
cana-1623	162	68	∂𝜆2	∂𝜆2	NOUN
cana-1623	162	69	∂𝜂	∂𝜂	PROPN
cana-1623	162	70	𝑑𝑡	𝑑𝑡	ADP
cana-1623	162	71	𝐻𝜂𝜂𝜆	𝐻𝜂𝜂𝜆	PROPN
cana-1623	163	1	=	=	SYM
cana-1623	163	2	𝐻𝜂𝜆𝜂	𝐻𝜂𝜆𝜂	PROPN
cana-1623	163	3	=	=	SYM
cana-1623	164	1	𝐻𝜆𝜂𝜂	𝐻𝜆𝜂𝜂	PROPN
cana-1623	164	2	=	=	PROPN
cana-1623	164	3	∑	∑	NOUN
cana-1623	164	4	  	  	SPACE
cana-1623	164	5	𝑛	𝑛	PRON
cana-1623	164	6	𝑖=1	𝑖=1	PROPN
cana-1623	164	7	  	  	SPACE
cana-1623	165	1	[	[	X
cana-1623	165	2	2ℎ−3(𝜆	2ℎ−3(𝜆	NUM
cana-1623	165	3	,	,	PUNCT
cana-1623	165	4	𝜂	𝜂	PROPN
cana-1623	165	5	∣	∣	PROPN
cana-1623	165	6	�	�	PROPN
cana-1623	165	7	̃	̃	PROPN
cana-1623	165	8	�	�	NOUN
cana-1623	165	9	𝑖)∫	𝑖)∫	PROPN
cana-1623	165	10	  	  	SPACE
cana-1623	165	11	+	+	PROPN
cana-1623	165	12	∞	∞	PROPN
cana-1623	165	13	0	0	NUM
cana-1623	165	14	  	  	SPACE
cana-1623	165	15	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	165	16	)	)	PUNCT
cana-1623	165	17	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	165	18	;	;	PUNCT
cana-1623	165	19	𝜆	𝜆	X
cana-1623	165	20	,	,	PUNCT
cana-1623	165	21	𝜂	𝜂	NOUN
cana-1623	165	22	)	)	PUNCT
cana-1623	165	23	∂𝜆	∂𝜆	PROPN
cana-1623	165	24	𝑑𝑡	𝑑𝑡	ADP
cana-1623	165	25	(	(	PUNCT
cana-1623	165	26	∫	∫	PROPN
cana-1623	165	27	  	  	SPACE
cana-1623	165	28	+	+	PROPN
cana-1623	165	29	∞	∞	PROPN
cana-1623	165	30	0	0	NUM
cana-1623	165	31	  	  	SPACE
cana-1623	165	32	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	165	33	)	)	PUNCT
cana-1623	165	34	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	165	35	;	;	PUNCT
cana-1623	165	36	𝜆	𝜆	X
cana-1623	165	37	,	,	PUNCT
cana-1623	165	38	𝜂	𝜂	NOUN
cana-1623	165	39	)	)	PUNCT
cana-1623	165	40	∂𝜂	∂𝜂	PROPN
cana-1623	165	41	𝑑𝑡	𝑑𝑡	ADP
cana-1623	165	42	)	)	PUNCT
cana-1623	165	43	2	2	NUM
cana-1623	165	44	]	]	PUNCT
cana-1623	165	45	−∑	−∑	PROPN
cana-1623	165	46	  	  	SPACE
cana-1623	165	47	𝑛	𝑛	PRON
cana-1623	165	48	𝑖=1	𝑖=1	PROPN
cana-1623	165	49	  	  	SPACE
cana-1623	166	1	[	[	X
cana-1623	166	2	ℎ−2(𝜆	ℎ−2(𝜆	PROPN
cana-1623	166	3	,	,	PUNCT
cana-1623	166	4	𝜂	𝜂	PROPN
cana-1623	166	5	∣	∣	PROPN
cana-1623	166	6	�	�	PROPN
cana-1623	166	7	̃	̃	PROPN
cana-1623	166	8	�	�	NOUN
cana-1623	166	9	𝑖)∫	𝑖)∫	PROPN
cana-1623	166	10	  	  	SPACE
cana-1623	166	11	+	+	PROPN
cana-1623	166	12	∞	∞	PROPN
cana-1623	166	13	0	0	NUM
cana-1623	166	14	  	  	SPACE
cana-1623	166	15	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	166	16	)	)	PUNCT
cana-1623	166	17	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	166	18	;	;	PUNCT
cana-1623	166	19	𝜆	𝜆	X
cana-1623	166	20	,	,	PUNCT
cana-1623	166	21	𝜂	𝜂	NOUN
cana-1623	166	22	)	)	PUNCT
cana-1623	166	23	∂𝜆	∂𝜆	PROPN
cana-1623	166	24	𝑑𝑡∫	𝑑𝑡∫	NOUN
cana-1623	166	25	  	  	SPACE
cana-1623	166	26	+	+	PROPN
cana-1623	166	27	∞	∞	PROPN
cana-1623	166	28	0	0	NUM
cana-1623	166	29	  	  	SPACE
cana-1623	166	30	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	166	31	)	)	PUNCT
cana-1623	166	32	∂2𝑦(𝑡	∂2𝑦(𝑡	ADV
cana-1623	166	33	;	;	PUNCT
cana-1623	166	34	𝜆	𝜆	X
cana-1623	166	35	,	,	PUNCT
cana-1623	166	36	𝜂	𝜂	NOUN
cana-1623	166	37	)	)	PUNCT
cana-1623	166	38	∂𝜂2	∂𝜂2	NOUN
cana-1623	166	39	𝑑𝑡	𝑑𝑡	ADP
cana-1623	166	40	]	]	X
cana-1623	166	41	+	+	PROPN
cana-1623	166	42	∑	∑	PROPN
cana-1623	166	43	  	  	SPACE
cana-1623	166	44	𝑛	𝑛	PRON
cana-1623	166	45	𝑖=1	𝑖=1	PROPN
cana-1623	166	46	  	  	SPACE
cana-1623	167	1	[	[	X
cana-1623	167	2	ℎ−1(𝜆	ℎ−1(𝜆	NOUN
cana-1623	167	3	,	,	PUNCT
cana-1623	167	4	𝜂	𝜂	PROPN
cana-1623	167	5	∣	∣	PROPN
cana-1623	167	6	�	�	PROPN
cana-1623	167	7	̃	̃	PROPN
cana-1623	167	8	�	�	NOUN
cana-1623	167	9	𝑖)∫	𝑖)∫	PROPN
cana-1623	167	10	  	  	SPACE
cana-1623	167	11	+	+	PROPN
cana-1623	167	12	∞	∞	PROPN
cana-1623	167	13	0	0	NUM
cana-1623	167	14	  	  	SPACE
cana-1623	167	15	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	167	16	)	)	PUNCT
cana-1623	167	17	∂3𝑦(𝑡	∂3𝑦(𝑡	NUM
cana-1623	167	18	;	;	PUNCT
cana-1623	167	19	𝜆	𝜆	X
cana-1623	167	20	,	,	PUNCT
cana-1623	167	21	𝜂	𝜂	NOUN
cana-1623	167	22	)	)	PUNCT
cana-1623	167	23	∂𝜂2	∂𝜂2	PROPN
cana-1623	167	24	∂𝜆	∂𝜆	PROPN
cana-1623	167	25	𝑑𝑡	𝑑𝑡	ADP
cana-1623	167	26	]	]	PUNCT
cana-1623	167	27	𝐻𝜂𝜂𝜂	𝐻𝜂𝜂𝜂	PROPN
cana-1623	167	28	=	=	PROPN
cana-1623	167	29	∑	∑	NOUN
cana-1623	167	30	  	  	SPACE
cana-1623	167	31	𝑛	𝑛	PRON
cana-1623	167	32	𝑖=1	𝑖=1	PROPN
cana-1623	167	33	  	  	SPACE
cana-1623	168	1	[	[	X
cana-1623	168	2	2ℎ−3(𝜆	2ℎ−3(𝜆	NUM
cana-1623	168	3	,	,	PUNCT
cana-1623	168	4	𝜂	𝜂	PROPN
cana-1623	168	5	∣	∣	PROPN
cana-1623	168	6	�	�	PROPN
cana-1623	168	7	̃	̃	PROPN
cana-1623	168	8	�	�	NOUN
cana-1623	168	9	𝑖	𝑖	NUM
cana-1623	168	10	)	)	PUNCT
cana-1623	168	11	(	(	PUNCT
cana-1623	168	12	∫	∫	PROPN
cana-1623	168	13	  	  	SPACE
cana-1623	169	1	+	+	PROPN
cana-1623	169	2	∞	∞	PROPN
cana-1623	169	3	0	0	NUM
cana-1623	169	4	  	  	SPACE
cana-1623	169	5	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	169	6	)	)	PUNCT
cana-1623	169	7	∂𝑦(𝑡	∂𝑦(𝑡	PROPN
cana-1623	169	8	;	;	PUNCT
cana-1623	169	9	𝜆	𝜆	X
cana-1623	169	10	,	,	PUNCT
cana-1623	169	11	𝜂	𝜂	NOUN
cana-1623	169	12	)	)	PUNCT
cana-1623	169	13	∂𝜂	∂𝜂	PROPN
cana-1623	169	14	𝑑𝑡	𝑑𝑡	ADP
cana-1623	169	15	)	)	PUNCT
cana-1623	169	16	3	3	NUM
cana-1623	169	17	+	+	SYM
cana-1623	169	18	ℎ−1(𝜆	ℎ−1(𝜆	NOUN
cana-1623	169	19	,	,	PUNCT
cana-1623	169	20	𝜂	𝜂	PROPN
cana-1623	169	21	∣	∣	PROPN
cana-1623	169	22	�	�	PROPN
cana-1623	169	23	̃	̃	PROPN
cana-1623	169	24	�	�	NOUN
cana-1623	169	25	𝑖)∫	𝑖)∫	PROPN
cana-1623	169	26	  	  	SPACE
cana-1623	169	27	+	+	PROPN
cana-1623	169	28	∞	∞	PROPN
cana-1623	169	29	0	0	NUM
cana-1623	169	30	  	  	SPACE
cana-1623	169	31	𝑠𝑖(𝑡	𝑠𝑖(𝑡	NOUN
cana-1623	169	32	)	)	PUNCT
cana-1623	169	33	∂3𝑦(𝑡	∂3𝑦(𝑡	NOUN
cana-1623	169	34	,	,	PUNCT
cana-1623	169	35	𝜆	𝜆	NOUN
cana-1623	169	36	,	,	PUNCT
cana-1623	169	37	𝜂	𝜂	NOUN
cana-1623	169	38	)	)	PUNCT
cana-1623	169	39	∂𝜂3	∂𝜂3	NOUN
cana-1623	169	40	𝑑𝑡	𝑑𝑡	ADP
cana-1623	169	41	]	]	PUNCT
cana-1623	169	42	the	the	DET
cana-1623	169	43	loss	loss	NOUN
cana-1623	169	44	function	function	NOUN
cana-1623	169	45	plays	play	VERB
cana-1623	169	46	an	an	DET
cana-1623	169	47	important	important	ADJ
cana-1623	169	48	role	role	NOUN
cana-1623	169	49	in	in	ADP
cana-1623	169	50	bayesian	bayesian	NOUN
cana-1623	169	51	statistical	statistical	ADJ
cana-1623	169	52	inference	inference	NOUN
cana-1623	169	53	since	since	SCONJ
cana-1623	169	54	it	it	PRON
cana-1623	169	55	evaluates	evaluate	VERB
cana-1623	169	56	the	the	DET
cana-1623	169	57	difference	difference	NOUN
cana-1623	169	58	between	between	ADP
cana-1623	169	59	model	model	NOUN
cana-1623	169	60	predictions	prediction	NOUN
cana-1623	169	61	and	and	CCONJ
cana-1623	169	62	actual	actual	ADJ
cana-1623	169	63	outcomes	outcome	NOUN
cana-1623	169	64	.	.	PUNCT
cana-1623	170	1	in	in	ADP
cana-1623	170	2	the	the	DET
cana-1623	170	3	bayesian	bayesian	NOUN
cana-1623	170	4	framework	framework	NOUN
cana-1623	170	5	,	,	PUNCT
cana-1623	170	6	we	we	PRON
cana-1623	170	7	used	use	VERB
cana-1623	170	8	the	the	DET
cana-1623	170	9	posterior	posterior	ADJ
cana-1623	170	10	distribution	distribution	NOUN
cana-1623	170	11	to	to	PART
cana-1623	170	12	represent	represent	VERB
cana-1623	170	13	uncertainty	uncertainty	NOUN
cana-1623	170	14	and	and	CCONJ
cana-1623	170	15	the	the	DET
cana-1623	170	16	loss	loss	NOUN
cana-1623	170	17	function	function	NOUN
cana-1623	170	18	to	to	PART
cana-1623	170	19	select	select	VERB
cana-1623	170	20	the	the	DET
cana-1623	170	21	best	good	ADJ
cana-1623	170	22	decision	decision	NOUN
cana-1623	170	23	or	or	CCONJ
cana-1623	170	24	prediction	prediction	NOUN
cana-1623	170	25	.	.	PUNCT
cana-1623	171	1	different	different	ADJ
cana-1623	171	2	loss	loss	NOUN
cana-1623	171	3	functions	function	NOUN
cana-1623	171	4	produce	produce	VERB
cana-1623	171	5	different	different	ADJ
cana-1623	171	6	conclusions	conclusion	NOUN
cana-1623	171	7	or	or	CCONJ
cana-1623	171	8	predictions	prediction	NOUN
cana-1623	171	9	;	;	PUNCT
cana-1623	171	10	thus	thus	ADV
cana-1623	171	11	,	,	PUNCT
cana-1623	171	12	choosing	choose	VERB
cana-1623	171	13	an	an	DET
cana-1623	171	14	appropriate	appropriate	ADJ
cana-1623	171	15	loss	loss	NOUN
cana-1623	171	16	function	function	NOUN
cana-1623	171	17	is	be	AUX
cana-1623	171	18	critical	critical	ADJ
cana-1623	171	19	to	to	ADP
cana-1623	171	20	the	the	DET
cana-1623	171	21	precision	precision	NOUN
cana-1623	171	22	and	and	CCONJ
cana-1623	171	23	reliability	reliability	NOUN
cana-1623	171	24	of	of	ADP
cana-1623	171	25	bayesian	bayesian	NOUN
cana-1623	171	26	inference	inference	NOUN
cana-1623	171	27	.	.	PUNCT
cana-1623	172	1	then	then	ADV
cana-1623	172	2	,	,	PUNCT
cana-1623	172	3	we	we	PRON
cana-1623	172	4	investigate	investigate	VERB
cana-1623	172	5	bayesian	bayesian	NOUN
cana-1623	172	6	estimate	estimate	NOUN
cana-1623	172	7	of	of	ADP
cana-1623	172	8	unknown	unknown	ADJ
cana-1623	172	9	parameters	parameter	NOUN
cana-1623	172	10	using	use	VERB
cana-1623	172	11	the	the	DET
cana-1623	172	12	se	se	PROPN
cana-1623	172	13	and	and	CCONJ
cana-1623	172	14	sse	sse	PROPN
cana-1623	172	15	loss	loss	NOUN
cana-1623	172	16	functions	function	NOUN
cana-1623	172	17	.	.	PUNCT
cana-1623	173	1	2.6	2.6	NUM
cana-1623	173	2	bayesian	bayesian	NOUN
cana-1623	173	3	estimation	estimation	NOUN
cana-1623	173	4	under	under	ADP
cana-1623	173	5	the	the	DET
cana-1623	173	6	se	se	PROPN
cana-1623	173	7	loss	loss	PROPN
cana-1623	173	8	function	function	NOUN
cana-1623	173	9	the	the	DET
cana-1623	173	10	se	se	PROPN
cana-1623	173	11	loss	loss	NOUN
cana-1623	173	12	function	function	NOUN
cana-1623	173	13	is	be	AUX
cana-1623	173	14	defined	define	VERB
cana-1623	173	15	as	as	ADP
cana-1623	173	16	follows	follow	VERB
cana-1623	173	17	,	,	PUNCT
cana-1623	173	18	𝐿1(𝜃	𝐿1(𝜃	PROPN
cana-1623	173	19	,	,	PUNCT
cana-1623	173	20	�	�	PROPN
cana-1623	173	21	̂	̂	NOUN
cana-1623	173	22	�	�	NOUN
cana-1623	173	23	)	)	PUNCT
cana-1623	173	24	=	=	SYM
cana-1623	173	25	�	�	PROPN
cana-1623	173	26	̂	̂	PROPN
cana-1623	173	27	�	�	NOUN
cana-1623	173	28	𝜃	𝜃	NOUN
cana-1623	173	29	+	+	NUM
cana-1623	173	30	𝜃	𝜃	PRON
cana-1623	173	31	�	�	NOUN
cana-1623	173	32	̂	̂	SYM
cana-1623	173	33	�	�	NOUN
cana-1623	173	34	−	−	PROPN
cana-1623	173	35	2	2	NUM
cana-1623	173	36	where	where	SCONJ
cana-1623	173	37	�	�	PROPN
cana-1623	173	38	̂	̂	SYM
cana-1623	173	39	�	�	NOUN
cana-1623	173	40	is	be	AUX
cana-1623	173	41	the	the	DET
cana-1623	173	42	estimator	estimator	NOUN
cana-1623	173	43	of	of	ADP
cana-1623	173	44	unknown	unknown	ADJ
cana-1623	173	45	parameter	parameter	NOUN
cana-1623	173	46	𝜃.	𝜃.	PROPN
cana-1623	173	47	3	3	X
cana-1623	173	48	.	.	PUNCT
cana-1623	174	1	real	real	ADJ
cana-1623	174	2	data	datum	NOUN
cana-1623	174	3	analysis	analysis	NOUN
cana-1623	174	4	in	in	ADP
cana-1623	174	5	this	this	DET
cana-1623	174	6	application	application	NOUN
cana-1623	174	7	,	,	PUNCT
cana-1623	174	8	we	we	PRON
cana-1623	174	9	used	use	VERB
cana-1623	174	10	real	real	ADJ
cana-1623	174	11	-	-	PUNCT
cana-1623	174	12	time	time	NOUN
cana-1623	174	13	agriculture	agriculture	NOUN
cana-1623	174	14	data	datum	NOUN
cana-1623	174	15	from	from	ADP
cana-1623	174	16	kaggle.com	kaggle.com	X
cana-1623	174	17	[	[	X
cana-1623	174	18	12	12	NUM
cana-1623	174	19	]	]	PUNCT
cana-1623	174	20	to	to	PART
cana-1623	174	21	analyze	analyze	VERB
cana-1623	174	22	the	the	DET
cana-1623	174	23	andra	andra	PROPN
cana-1623	174	24	agriculture	agriculture	PROPN
cana-1623	174	25	data	datum	NOUN
cana-1623	174	26	set	set	VERB
cana-1623	174	27	in	in	ADP
cana-1623	174	28	2019	2019	NUM
cana-1623	174	29	.	.	PUNCT
cana-1623	175	1	we	we	PRON
cana-1623	175	2	evaluated	evaluate	VERB
cana-1623	175	3	the	the	DET
cana-1623	175	4	data	datum	NOUN
cana-1623	175	5	using	use	VERB
cana-1623	175	6	an	an	DET
cana-1623	175	7	inverse	inverse	ADJ
cana-1623	175	8	weibull	weibull	NOUN
cana-1623	175	9	distribution	distribution	NOUN
cana-1623	175	10	with	with	ADP
cana-1623	175	11	intuitionistic	intuitionistic	ADJ
cana-1623	175	12	fuzzy	fuzzy	ADJ
cana-1623	175	13	data	datum	NOUN
cana-1623	175	14	,	,	PUNCT
cana-1623	175	15	as	as	SCONJ
cana-1623	175	16	shown	show	VERB
cana-1623	175	17	in	in	ADP
cana-1623	175	18	tables	table	NOUN
cana-1623	175	19	1	1	NUM
cana-1623	175	20	and	and	CCONJ
cana-1623	175	21	2	2	NUM
cana-1623	175	22	.	.	PUNCT
cana-1623	175	23	mean	mean	ADJ
cana-1623	175	24	square	square	ADJ
cana-1623	175	25	error	error	NOUN
cana-1623	175	26	for	for	ADP
cana-1623	175	27	each	each	DET
cana-1623	175	28	crop	crop	NOUN
cana-1623	175	29	1.0551	1.0551	NUM
cana-1623	175	30	,	,	PUNCT
cana-1623	175	31	0.0419	0.0419	NUM
cana-1623	175	32	,	,	PUNCT
cana-1623	175	33	0.2632	0.2632	NUM
cana-1623	175	34	,	,	PUNCT
cana-1623	175	35	28.5692	28.5692	NUM
cana-1623	175	36	,	,	PUNCT
cana-1623	175	37	0.0126	0.0126	NUM
cana-1623	175	38	,	,	PUNCT
cana-1623	175	39	0.0507	0.0507	NUM
cana-1623	175	40	,	,	PUNCT
cana-1623	175	41	0.0915	0.0915	NUM
cana-1623	175	42	,	,	PUNCT
cana-1623	175	43	0.0125	0.0125	NUM
cana-1623	175	44	,	,	PUNCT
cana-1623	175	45	1.0093	1.0093	NUM
cana-1623	175	46	,	,	PUNCT
cana-1623	175	47	0.0397	0.0397	NUM
cana-1623	175	48	and	and	CCONJ
cana-1623	175	49	bayesian	bayesian	NOUN
cana-1623	175	50	estimates	estimate	NOUN
cana-1623	175	51	and	and	CCONJ
cana-1623	175	52	reliability	reliability	NOUN
cana-1623	175	53	(	(	PUNCT
cana-1623	175	54	mse	mse	NOUN
cana-1623	175	55	)	)	PUNCT
cana-1623	175	56	for	for	ADP
cana-1623	175	57	each	each	DET
cana-1623	175	58	crop	crop	NOUN
cana-1623	175	59	0.0172	0.0172	NUM
cana-1623	175	60	,	,	PUNCT
cana-1623	175	61	0.0173	0.0173	NUM
cana-1623	175	62	,	,	PUNCT
cana-1623	175	63	0.0129	0.0129	NUM
cana-1623	175	64	,	,	PUNCT
cana-1623	175	65	0.0241	0.0241	NUM
cana-1623	175	66	,	,	PUNCT
cana-1623	175	67	0.0075	0.0075	NUM
cana-1623	175	68	,	,	PUNCT
cana-1623	175	69	0.0212	0.0212	NUM
cana-1623	175	70	,	,	PUNCT
cana-1623	175	71	0.0139	0.0139	NUM
cana-1623	175	72	,	,	PUNCT
cana-1623	175	73	0.0151	0.0151	NUM
cana-1623	175	74	,	,	PUNCT
cana-1623	175	75	communications	communication	NOUN
cana-1623	175	76	on	on	ADP
cana-1623	175	77	applied	apply	VERB
cana-1623	175	78	nonlinear	nonlinear	ADJ
cana-1623	175	79	analysis	analysis	NOUN
cana-1623	175	80	issn	issn	NOUN
cana-1623	175	81	:	:	PUNCT
cana-1623	175	82	1074	1074	NUM
cana-1623	175	83	-	-	PUNCT
cana-1623	175	84	133x	133x	NUM
cana-1623	175	85	vol	vol	NOUN
cana-1623	175	86	32	32	NUM
cana-1623	175	87	no	no	NOUN
cana-1623	175	88	.	.	NOUN
cana-1623	175	89	1	1	NUM
cana-1623	175	90	(	(	PUNCT
cana-1623	175	91	2025	2025	NUM
cana-1623	175	92	)	)	PUNCT
cana-1623	175	93	99	99	NUM
cana-1623	175	94	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	175	95	0.0372	0.0372	NUM
cana-1623	175	96	,	,	PUNCT
cana-1623	175	97	and	and	CCONJ
cana-1623	175	98	0.0073	0.0073	NUM
cana-1623	175	99	respectively	respectively	ADV
cana-1623	175	100	,	,	PUNCT
cana-1623	175	101	estimated	estimate	VERB
cana-1623	175	102	fuzzy	fuzzy	ADJ
cana-1623	175	103	parameters	parameter	NOUN
cana-1623	175	104	for	for	ADP
cana-1623	175	105	the	the	DET
cana-1623	175	106	𝜆	𝜆	NOUN
cana-1623	175	107	are	be	AUX
cana-1623	175	108	2.5554	2.5554	NUM
cana-1623	175	109	,	,	PUNCT
cana-1623	175	110	2.8394	2.8394	NUM
cana-1623	175	111	and	and	CCONJ
cana-1623	175	112	3.1233	3.1233	NUM
cana-1623	175	113	for	for	ADP
cana-1623	175	114	the	the	DET
cana-1623	175	115	𝜂	𝜂	NOUN
cana-1623	175	116	are	be	AUX
cana-1623	175	117	3.6139	3.6139	NUM
cana-1623	175	118	,	,	PUNCT
cana-1623	175	119	4.0155	4.0155	NUM
cana-1623	175	120	and	and	CCONJ
cana-1623	175	121	4.4170	4.4170	NUM
cana-1623	175	122	.	.	PUNCT
cana-1623	176	1	table.1	table.1	NOUN
cana-1623	176	2	.	.	PUNCT
cana-1623	177	1	agriculture	agriculture	NOUN
cana-1623	177	2	data	datum	NOUN
cana-1623	177	3	of	of	ADP
cana-1623	177	4	andra	andra	NOUN
cana-1623	177	5	in	in	ADP
cana-1623	177	6	the	the	DET
cana-1623	177	7	year	year	NOUN
cana-1623	177	8	of	of	ADP
cana-1623	177	9	2019	2019	NUM
cana-1623	177	10	.	.	PUNCT
cana-1623	178	1	crop	crop	NOUN
cana-1623	178	2	season	season	NOUN
cana-1623	178	3	membership	membership	NOUN
cana-1623	178	4	degree	degree	NOUN
cana-1623	178	5	(	(	PUNCT
cana-1623	178	6	μ\muμ	μ\muμ	NOUN
cana-1623	178	7	)	)	PUNCT
cana-1623	178	8	non	non	ADJ
cana-1623	178	9	-	-	ADJ
cana-1623	178	10	membership	membership	ADJ
cana-1623	178	11	degree	degree	NOUN
cana-1623	178	12	(	(	PUNCT
cana-1623	178	13	ν\nuν	ν\nuν	NOUN
cana-1623	178	14	)	)	PUNCT
cana-1623	178	15	degree	degree	NOUN
cana-1623	178	16	of	of	ADP
cana-1623	178	17	uncertainty	uncertainty	NOUN
cana-1623	178	18	(	(	PUNCT
cana-1623	178	19	π\piπ	π\piπ	NOUN
cana-1623	178	20	)	)	PUNCT
cana-1623	178	21	arecanut	arecanut	NOUN
cana-1623	178	22	kharif	kharif	NOUN
cana-1623	178	23	0.70	0.70	NUM
cana-1623	178	24	0.20	0.20	NUM
cana-1623	178	25	0.10	0.10	NUM
cana-1623	178	26	arhar	arhar	ADJ
cana-1623	178	27	/	/	SYM
cana-1623	178	28	tur	tur	NOUN
cana-1623	178	29	kharif	kharif	NOUN
cana-1623	178	30	0.80	0.80	NUM
cana-1623	178	31	0.10	0.10	NUM
cana-1623	178	32	0.10	0.10	NUM
cana-1623	178	33	arhar	arhar	ADJ
cana-1623	178	34	/	/	SYM
cana-1623	178	35	tur	tur	NOUN
cana-1623	178	36	rabi	rabi	NOUN
cana-1623	178	37	0.60	0.60	NUM
cana-1623	178	38	0.30	0.30	NUM
cana-1623	178	39	0.10	0.10	NUM
cana-1623	178	40	bajra	bajra	NOUN
cana-1623	178	41	kharif	kharif	NOUN
cana-1623	178	42	0.65	0.65	NUM
cana-1623	178	43	0.25	0.25	NUM
cana-1623	178	44	0.10	0.10	NUM
cana-1623	178	45	bajra	bajra	NOUN
cana-1623	178	46	rabi	rabi	NOUN
cana-1623	178	47	0.55	0.55	NUM
cana-1623	178	48	0.35	0.35	NUM
cana-1623	178	49	0.10	0.10	NUM
cana-1623	178	50	banana	banana	NOUN
cana-1623	178	51	whole	whole	ADJ
cana-1623	178	52	year	year	NOUN
cana-1623	178	53	0.90	0.90	NUM
cana-1623	178	54	0.05	0.05	NUM
cana-1623	178	55	0.05	0.05	NUM
cana-1623	178	56	black	black	ADJ
cana-1623	178	57	pepper	pepper	NOUN
cana-1623	178	58	whole	whole	ADJ
cana-1623	178	59	year	year	NOUN
cana-1623	178	60	0.85	0.85	NUM
cana-1623	178	61	0.10	0.10	NUM
cana-1623	178	62	0.05	0.05	NUM
cana-1623	178	63	cashewnut	cashewnut	NOUN
cana-1623	178	64	kharif	kharif	NOUN
cana-1623	178	65	0.75	0.75	NUM
cana-1623	178	66	0.20	0.20	NUM
cana-1623	178	67	0.05	0.05	NUM
cana-1623	178	68	castor	castor	NOUN
cana-1623	178	69	seed	seed	NOUN
cana-1623	178	70	kharif	kharif	NOUN
cana-1623	178	71	0.60	0.60	NUM
cana-1623	178	72	0.30	0.30	NUM
cana-1623	178	73	0.10	0.10	NUM
cana-1623	178	74	castor	castor	NOUN
cana-1623	178	75	seed	seed	NOUN
cana-1623	178	76	rabi	rabi	NOUN
cana-1623	178	77	0.50	0.50	NUM
cana-1623	178	78	0.40	0.40	NUM
cana-1623	178	79	0.10	0.10	NUM
cana-1623	178	80	table.2	table.2	NOUN
cana-1623	178	81	.	.	PUNCT
cana-1623	179	1	intuitionistic	intuitionistic	ADJ
cana-1623	179	2	fuzzy	fuzzy	ADJ
cana-1623	179	3	data	datum	NOUN
cana-1623	179	4	values	value	NOUN
cana-1623	179	5	of	of	ADP
cana-1623	179	6	andra	andra	PRON
cana-1623	179	7	in	in	ADP
cana-1623	179	8	the	the	DET
cana-1623	179	9	year	year	NOUN
cana-1623	179	10	of	of	ADP
cana-1623	179	11	2019	2019	NUM
cana-1623	179	12	.	.	PUNCT
cana-1623	180	1	maximum	maximum	ADJ
cana-1623	180	2	likelihood	likelihood	NOUN
cana-1623	180	3	estimator	estimator	NOUN
cana-1623	180	4	(	(	PUNCT
cana-1623	180	5	mle	mle	PROPN
cana-1623	180	6	)	)	PUNCT
cana-1623	180	7	table	table	NOUN
cana-1623	180	8	𝜆	𝜆	ADP
cana-1623	180	9	=	=	PUNCT
cana-1623	180	10	4.3956	4.3956	NUM
cana-1623	180	11	and	and	CCONJ
cana-1623	180	12	𝜂	𝜂	NOUN
cana-1623	180	13	=	=	SYM
cana-1623	180	14	7.3543	7.3543	NUM
cana-1623	180	15	.	.	PUNCT
cana-1623	181	1	s.no	s.no	AUX
cana-1623	181	2	observed	observe	VERB
cana-1623	181	3	yield(kg	yield(kg	ADV
cana-1623	181	4	/	/	SYM
cana-1623	181	5	ha	ha	INTJ
cana-1623	181	6	)	)	PUNCT
cana-1623	181	7	predicted	predict	VERB
cana-1623	181	8	yield(kg	yield(kg	PROPN
cana-1623	181	9	/	/	SYM
cana-1623	181	10	ha	ha	NOUN
cana-1623	181	11	)	)	PUNCT
cana-1623	181	12	1	1	NUM
cana-1623	181	13	5.00	5.00	NUM
cana-1623	181	14	5.00	5.00	NUM
cana-1623	181	15	2	2	NUM
cana-1623	181	16	4.67	4.67	NUM
cana-1623	181	17	4.67	4.67	NUM
cana-1623	181	18	3	3	NUM
cana-1623	181	19	4.00	4.00	NUM
cana-1623	181	20	4.00	4.00	NUM
cana-1623	181	21	4	4	NUM
cana-1623	181	22	3.60	3.60	NUM
cana-1623	181	23	3.60	3.60	NUM
cana-1623	181	24	5	5	NUM
cana-1623	181	25	3.33	3.33	NUM
cana-1623	181	26	3.33	3.33	NUM
cana-1623	181	27	crop	crop	NOUN
cana-1623	181	28	season	season	NOUN
cana-1623	181	29	area(ha	area(ha	NOUN
cana-1623	181	30	)	)	PUNCT
cana-1623	181	31	(	(	PUNCT
cana-1623	181	32	mt	mt	PROPN
cana-1623	181	33	)	)	PUNCT
cana-1623	181	34	(	(	PUNCT
cana-1623	181	35	kg	kg	X
cana-1623	181	36	/	/	SYM
cana-1623	181	37	ha	ha	INTJ
cana-1623	181	38	)	)	PUNCT
cana-1623	181	39	value(₹	value(₹	PROPN
cana-1623	181	40	)	)	PUNCT
cana-1623	181	41	(	(	PUNCT
cana-1623	181	42	₹	₹	NOUN
cana-1623	181	43	/kg	/kg	NOUN
cana-1623	181	44	)	)	PUNCT
cana-1623	181	45	crop	crop	NOUN
cana-1623	181	46	arecanut	arecanut	PROPN
cana-1623	181	47	kharif	kharif	PROPN
cana-1623	181	48	1096	1096	NUM
cana-1623	181	49	10418	10418	NUM
cana-1623	181	50	899.2	899.2	NUM
cana-1623	181	51	188249	188249	NUM
cana-1623	181	52	405.52	405.52	NUM
cana-1623	181	53	7.253333	7.253333	NUM
cana-1623	181	54	arhar	arhar	ADJ
cana-1623	181	55	/	/	SYM
cana-1623	181	56	tur	tur	X
cana-1623	181	57	kharif	kharif	NOUN
cana-1623	181	58	237647	237647	NUM
cana-1623	181	59	114451	114451	NUM
cana-1623	181	60	899.2	899.2	NUM
cana-1623	181	61	40818249	40818249	NUM
cana-1623	181	62	87929.39	87929.39	NUM
cana-1623	181	63	0.44	0.44	NUM
cana-1623	181	64	arhar	arhar	ADJ
cana-1623	181	65	/	/	SYM
cana-1623	181	66	tur	tur	NOUN
cana-1623	181	67	rabi	rabi	NOUN
cana-1623	181	68	5940	5940	NUM
cana-1623	181	69	3747	3747	NUM
cana-1623	181	70	899.2	899.2	NUM
cana-1623	181	71	1020254	1020254	NUM
cana-1623	181	72	2197.8	2197.8	NUM
cana-1623	181	73	0.43	0.43	NUM
cana-1623	181	74	bajra	bajra	NOUN
cana-1623	181	75	kharif	kharif	NOUN
cana-1623	181	76	20484	20484	NUM
cana-1623	181	77	47045	47045	NUM
cana-1623	181	78	899.2	899.2	NUM
cana-1623	181	79	3518332	3518332	NUM
cana-1623	181	80	7579.08	7579.08	NUM
cana-1623	181	81	2.004545	2.004545	NUM
cana-1623	181	82	bajra	bajra	NOUN
cana-1623	181	83	rabi	rabi	NOUN
cana-1623	181	84	4592	4592	NUM
cana-1623	181	85	11322	11322	NUM
cana-1623	181	86	899.2	899.2	NUM
cana-1623	181	87	788721.9	788721.9	NUM
cana-1623	181	88	1699.04	1699.04	NUM
cana-1623	181	89	2.48	2.48	NUM
cana-1623	181	90	banana	banana	NOUN
cana-1623	181	91	whole	whole	ADJ
cana-1623	181	92	year	year	NOUN
cana-1623	181	93	97695	97695	NUM
cana-1623	181	94	5861700	5861700	NUM
cana-1623	181	95	899.2	899.2	NUM
cana-1623	181	96	16780093	16780093	NUM
cana-1623	181	97	36147.15	36147.15	NUM
cana-1623	181	98	60	60	NUM
cana-1623	181	99	black	black	ADJ
cana-1623	181	100	pepper	pepper	NOUN
cana-1623	181	101	whole	whole	ADJ
cana-1623	181	102	year	year	NOUN
cana-1623	181	103	17645	17645	NUM
cana-1623	181	104	17645	17645	NUM
cana-1623	181	105	899.2	899.2	NUM
cana-1623	181	106	3030705	3030705	NUM
cana-1623	181	107	6528.65	6528.65	NUM
cana-1623	181	108	1	1	NUM
cana-1623	181	109	cashewnut	cashewnut	NOUN
cana-1623	181	110	kharif	kharif	NOUN
cana-1623	181	111	115785	115785	NUM
cana-1623	181	112	115785	115785	NUM
cana-1623	181	113	899.2	899.2	NUM
cana-1623	181	114	19887232	19887232	NUM
cana-1623	181	115	42840.45	42840.45	NUM
cana-1623	181	116	1	1	NUM
cana-1623	181	117	castor	castor	NOUN
cana-1623	181	118	seed	seed	NOUN
cana-1623	181	119	kharif	kharif	NOUN
cana-1623	181	120	36827	36827	NUM
cana-1623	181	121	25270	25270	NUM
cana-1623	181	122	899.2	899.2	NUM
cana-1623	181	123	6325406	6325406	NUM
cana-1623	181	124	13625.99	13625.99	NUM
cana-1623	181	125	0.7625	0.7625	NUM
cana-1623	181	126	castor	castor	NOUN
cana-1623	181	127	seed	seed	NOUN
cana-1623	181	128	rabi	rabi	NOUN
cana-1623	181	129	1056	1056	NUM
cana-1623	181	130	637	637	NUM
cana-1623	181	131	899.2	899.2	NUM
cana-1623	181	132	181378.6	181378.6	NUM
cana-1623	181	133	390.72	390.72	NUM
cana-1623	181	134	0.684	0.684	NUM
cana-1623	181	135	communications	communication	NOUN
cana-1623	181	136	on	on	ADP
cana-1623	181	137	applied	apply	VERB
cana-1623	181	138	nonlinear	nonlinear	ADJ
cana-1623	181	139	analysis	analysis	NOUN
cana-1623	181	140	issn	issn	NOUN
cana-1623	181	141	:	:	PUNCT
cana-1623	181	142	1074	1074	NUM
cana-1623	181	143	-	-	PUNCT
cana-1623	181	144	133x	133x	NUM
cana-1623	181	145	vol	vol	NOUN
cana-1623	181	146	32	32	NUM
cana-1623	181	147	no	no	NOUN
cana-1623	181	148	.	.	NOUN
cana-1623	181	149	1	1	NUM
cana-1623	181	150	(	(	PUNCT
cana-1623	181	151	2025	2025	NUM
cana-1623	181	152	)	)	PUNCT
cana-1623	181	153	100	100	NUM
cana-1623	181	154	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	181	155	mathematical	mathematical	ADJ
cana-1623	181	156	results	result	NOUN
cana-1623	181	157	of	of	ADP
cana-1623	181	158	the	the	DET
cana-1623	181	159	inverse	inverse	ADJ
cana-1623	181	160	weibull	weibull	NOUN
cana-1623	181	161	distribution	distribution	NOUN
cana-1623	181	162	.	.	PUNCT
cana-1623	182	1	fig	fig	NOUN
cana-1623	182	2	.	.	PUNCT
cana-1623	183	1	1	1	NUM
cana-1623	183	2	:	:	PUNCT
cana-1623	183	3	pdf	pdf	NOUN
cana-1623	183	4	and	and	CCONJ
cana-1623	183	5	empirical	empirical	ADJ
cana-1623	183	6	pdf	pdf	NOUN
cana-1623	183	7	of	of	ADP
cana-1623	183	8	inverse	inverse	ADJ
cana-1623	183	9	weibull	weibull	NOUN
cana-1623	183	10	distribution	distribution	NOUN
cana-1623	183	11	using	use	VERB
cana-1623	183	12	intuitionistic	intuitionistic	ADJ
cana-1623	183	13	fuzzy	fuzzy	ADJ
cana-1623	183	14	set	set	NOUN
cana-1623	183	15	.	.	PUNCT
cana-1623	184	1	fig	fig	NOUN
cana-1623	184	2	.	.	PUNCT
cana-1623	185	1	2	2	NUM
cana-1623	185	2	:	:	PUNCT
cana-1623	186	1	cdf	cdf	NOUN
cana-1623	186	2	and	and	CCONJ
cana-1623	186	3	empirical	empirical	ADJ
cana-1623	186	4	cdf	cdf	NOUN
cana-1623	186	5	of	of	ADP
cana-1623	186	6	inverse	inverse	ADJ
cana-1623	186	7	weibull	weibull	NOUN
cana-1623	186	8	distribution	distribution	NOUN
cana-1623	186	9	using	use	VERB
cana-1623	186	10	intuitionistic	intuitionistic	ADJ
cana-1623	186	11	fuzzy	fuzzy	ADJ
cana-1623	186	12	set	set	NOUN
cana-1623	186	13	.	.	PUNCT
cana-1623	187	1	fig.3	fig.3	PROPN
cana-1623	187	2	:	:	PUNCT
cana-1623	187	3	reliability	reliability	NOUN
cana-1623	187	4	estimation	estimation	NOUN
cana-1623	187	5	of	of	ADP
cana-1623	187	6	inverse	inverse	ADJ
cana-1623	187	7	weibull	weibull	NOUN
cana-1623	187	8	distribution	distribution	NOUN
cana-1623	187	9	with	with	ADP
cana-1623	187	10	intuitionistic	intuitionistic	ADJ
cana-1623	187	11	fuzzy	fuzzy	ADJ
cana-1623	187	12	set	set	NOUN
cana-1623	187	13	.	.	PUNCT
cana-1623	188	1	4	4	X
cana-1623	188	2	.	.	NOUN
cana-1623	188	3	results	result	NOUN
cana-1623	188	4	and	and	CCONJ
cana-1623	188	5	discussion	discussion	NOUN
cana-1623	188	6	fuzzy	fuzzy	ADJ
cana-1623	188	7	lifetime	lifetime	NOUN
cana-1623	188	8	data	datum	NOUN
cana-1623	188	9	can	can	AUX
cana-1623	188	10	be	be	AUX
cana-1623	188	11	used	use	VERB
cana-1623	188	12	to	to	PART
cana-1623	188	13	estimate	estimate	VERB
cana-1623	188	14	the	the	DET
cana-1623	188	15	reliability	reliability	NOUN
cana-1623	188	16	of	of	ADP
cana-1623	188	17	iwd	iwd	PROPN
cana-1623	188	18	in	in	ADP
cana-1623	188	19	real	real	ADJ
cana-1623	188	20	-	-	PUNCT
cana-1623	188	21	life	life	NOUN
cana-1623	188	22	scenarios	scenario	NOUN
cana-1623	188	23	due	due	ADJ
cana-1623	188	24	to	to	ADP
cana-1623	188	25	uncontrollable	uncontrollable	ADJ
cana-1623	188	26	factors	factor	NOUN
cana-1623	188	27	.	.	PUNCT
cana-1623	189	1	however	however	ADV
cana-1623	189	2	,	,	PUNCT
cana-1623	189	3	fuzzy	fuzzy	ADJ
cana-1623	189	4	sets	set	NOUN
cana-1623	189	5	only	only	ADV
cana-1623	189	6	have	have	VERB
cana-1623	189	7	one	one	NUM
cana-1623	189	8	membership	membership	NOUN
cana-1623	189	9	degree	degree	NOUN
cana-1623	189	10	parameter	parameter	NOUN
cana-1623	189	11	,	,	PUNCT
cana-1623	189	12	resulting	result	VERB
cana-1623	189	13	in	in	ADP
cana-1623	189	14	a	a	DET
cana-1623	189	15	less	less	ADV
cana-1623	189	16	precise	precise	ADJ
cana-1623	189	17	description	description	NOUN
cana-1623	189	18	of	of	ADP
cana-1623	189	19	the	the	DET
cana-1623	189	20	objective	objective	ADJ
cana-1623	189	21	world	world	NOUN
cana-1623	189	22	.	.	PUNCT
cana-1623	190	1	in	in	ADP
cana-1623	190	2	contrast	contrast	NOUN
cana-1623	190	3	,	,	PUNCT
cana-1623	190	4	intuitionistic	intuitionistic	ADJ
cana-1623	190	5	fuzzy	fuzzy	ADJ
cana-1623	190	6	sets	set	NOUN
cana-1623	190	7	can	can	AUX
cana-1623	190	8	better	well	ADV
cana-1623	190	9	express	express	VERB
cana-1623	190	10	uncertainty	uncertainty	NOUN
cana-1623	190	11	and	and	CCONJ
cana-1623	190	12	fuzziness	fuzziness	NOUN
cana-1623	190	13	when	when	SCONJ
cana-1623	190	14	dealing	deal	VERB
cana-1623	190	15	with	with	ADP
cana-1623	190	16	fuzzy	fuzzy	ADJ
cana-1623	190	17	information	information	NOUN
cana-1623	190	18	.	.	PUNCT
cana-1623	191	1	the	the	DET
cana-1623	191	2	em	em	PROPN
cana-1623	191	3	algorithm	algorithm	NOUN
cana-1623	191	4	was	be	AUX
cana-1623	191	5	used	use	VERB
cana-1623	191	6	to	to	PART
cana-1623	191	7	obtain	obtain	VERB
cana-1623	191	8	mles	mle	NOUN
cana-1623	191	9	,	,	PUNCT
cana-1623	191	10	followed	follow	VERB
cana-1623	191	11	by	by	ADP
cana-1623	191	12	the	the	DET
cana-1623	191	13	lindley	lindley	NOUN
cana-1623	191	14	approximation	approximation	NOUN
cana-1623	191	15	to	to	PART
cana-1623	191	16	obtain	obtain	VERB
cana-1623	191	17	bes	bes	NOUN
cana-1623	191	18	under	under	ADP
cana-1623	191	19	se	se	PROPN
cana-1623	191	20	and	and	CCONJ
cana-1623	191	21	sse	sse	PROPN
cana-1623	191	22	loss	loss	NOUN
cana-1623	191	23	functions	function	NOUN
cana-1623	191	24	.	.	PUNCT
cana-1623	192	1	results	result	NOUN
cana-1623	192	2	showed	show	VERB
cana-1623	192	3	that	that	SCONJ
cana-1623	192	4	changing	change	VERB
cana-1623	192	5	the	the	DET
cana-1623	192	6	true	true	ADJ
cana-1623	192	7	values	value	NOUN
cana-1623	192	8	of	of	ADP
cana-1623	192	9	multiple	multiple	ADJ
cana-1623	192	10	sets	set	NOUN
cana-1623	192	11	of	of	ADP
cana-1623	192	12	communications	communication	NOUN
cana-1623	192	13	on	on	ADP
cana-1623	192	14	applied	apply	VERB
cana-1623	192	15	nonlinear	nonlinear	ADJ
cana-1623	192	16	analysis	analysis	NOUN
cana-1623	192	17	issn	issn	NOUN
cana-1623	192	18	:	:	PUNCT
cana-1623	192	19	1074	1074	NUM
cana-1623	192	20	-	-	PUNCT
cana-1623	192	21	133x	133x	NUM
cana-1623	192	22	vol	vol	NOUN
cana-1623	192	23	32	32	NUM
cana-1623	192	24	no	no	NOUN
cana-1623	192	25	.	.	NOUN
cana-1623	192	26	1	1	NUM
cana-1623	192	27	(	(	PUNCT
cana-1623	192	28	2025	2025	NUM
cana-1623	192	29	)	)	PUNCT
cana-1623	192	30	101	101	NUM
cana-1623	192	31	https://internationalpubls.com	https://internationalpubls.com	X
cana-1623	192	32	parameters	parameter	NOUN
cana-1623	192	33	resulted	result	VERB
cana-1623	192	34	in	in	ADP
cana-1623	192	35	a	a	DET
cana-1623	192	36	significantly	significantly	ADV
cana-1623	192	37	smaller	small	ADJ
cana-1623	192	38	mean	mean	ADJ
cana-1623	192	39	square	square	ADJ
cana-1623	192	40	error	error	NOUN
cana-1623	192	41	under	under	ADP
cana-1623	192	42	bayesian	bayesian	NOUN
cana-1623	192	43	estimation	estimation	NOUN
cana-1623	192	44	compared	compare	VERB
cana-1623	192	45	to	to	ADP
cana-1623	192	46	the	the	DET
cana-1623	192	47	maximum	maximum	ADJ
cana-1623	192	48	likelihood	likelihood	NOUN
cana-1623	192	49	estimator	estimator	NOUN
cana-1623	192	50	.	.	PUNCT
cana-1623	193	1	kaggle.com	kaggle.com	X
cana-1623	193	2	supports	support	VERB
cana-1623	193	3	the	the	DET
cana-1623	193	4	current	current	ADJ
cana-1623	193	5	research	research	NOUN
cana-1623	193	6	findings	finding	NOUN
cana-1623	193	7	[	[	X
cana-1623	193	8	11	11	NUM
cana-1623	193	9	]	]	PUNCT
cana-1623	193	10	.	.	PUNCT
cana-1623	194	1	we	we	PRON
cana-1623	194	2	discovered	discover	VERB
cana-1623	194	3	results	result	NOUN
cana-1623	194	4	for	for	ADP
cana-1623	194	5	the	the	DET
cana-1623	194	6	probability	probability	NOUN
cana-1623	194	7	density	density	NOUN
cana-1623	194	8	function	function	NOUN
cana-1623	194	9	as	as	ADV
cana-1623	194	10	well	well	ADV
cana-1623	194	11	as	as	ADP
cana-1623	194	12	pdf	pdf	NOUN
cana-1623	194	13	and	and	CCONJ
cana-1623	194	14	empirical	empirical	ADJ
cana-1623	194	15	pdf	pdf	NOUN
cana-1623	194	16	(	(	PUNCT
cana-1623	194	17	fig.1	fig.1	PROPN
cana-1623	194	18	)	)	PUNCT
cana-1623	194	19	,	,	PUNCT
cana-1623	194	20	cumulative	cumulative	ADJ
cana-1623	194	21	density	density	NOUN
cana-1623	194	22	function	function	NOUN
cana-1623	194	23	as	as	ADV
cana-1623	194	24	well	well	ADV
cana-1623	194	25	as	as	ADP
cana-1623	194	26	cdf	cdf	NOUN
cana-1623	194	27	and	and	CCONJ
cana-1623	194	28	empirical	empirical	ADJ
cana-1623	194	29	cdf	cdf	PROPN
cana-1623	194	30	(	(	PUNCT
cana-1623	194	31	fig.2	fig.2	PROPN
cana-1623	194	32	)	)	PUNCT
cana-1623	194	33	,	,	PUNCT
cana-1623	194	34	and	and	CCONJ
cana-1623	194	35	reliability	reliability	NOUN
cana-1623	194	36	estimation	estimation	NOUN
cana-1623	194	37	(	(	PUNCT
cana-1623	194	38	fig.3	fig.3	PROPN
cana-1623	194	39	)	)	PUNCT
cana-1623	194	40	in	in	ADP
cana-1623	194	41	the	the	DET
cana-1623	194	42	inverse	inverse	NOUN
cana-1623	194	43	weibull	weibull	NOUN
cana-1623	194	44	distribution	distribution	NOUN
cana-1623	194	45	intuitionistic	intuitionistic	ADJ
cana-1623	194	46	fuzzy	fuzzy	ADJ
cana-1623	194	47	set	set	NOUN
cana-1623	194	48	to	to	ADP
cana-1623	194	49	the	the	DET
cana-1623	194	50	agriculture	agriculture	NOUN
cana-1623	194	51	problem	problem	NOUN
cana-1623	194	52	of	of	ADP
cana-1623	194	53	andra	andra	NOUN
cana-1623	194	54	in	in	ADP
cana-1623	194	55	the	the	DET
cana-1623	194	56	year	year	NOUN
cana-1623	194	57	of	of	ADP
cana-1623	194	58	2019	2019	NUM
cana-1623	194	59	with	with	ADP
cana-1623	194	60	fuzzy	fuzzy	ADJ
cana-1623	194	61	parameters	parameter	NOUN
cana-1623	194	62	and	and	CCONJ
cana-1623	194	63	supporting	support	VERB
cana-1623	194	64	matlab	matlab	PROPN
cana-1623	194	65	tool	tool	PROPN
cana-1623	194	66	,	,	PUNCT
cana-1623	194	67	which	which	PRON
cana-1623	194	68	shows	show	VERB
cana-1623	194	69	how	how	SCONJ
cana-1623	194	70	well	well	ADV
cana-1623	194	71	the	the	DET
cana-1623	194	72	suggested	suggest	VERB
cana-1623	194	73	technique	technique	NOUN
cana-1623	194	74	performs	perform	VERB
cana-1623	194	75	in	in	ADP
cana-1623	194	76	predicting	predict	VERB
cana-1623	194	77	crop	crop	NOUN
cana-1623	194	78	production	production	NOUN
cana-1623	194	79	for	for	ADP
cana-1623	194	80	all	all	DET
cana-1623	194	81	seasons	season	NOUN
cana-1623	194	82	.	.	PUNCT
cana-1623	195	1	5	5	X
cana-1623	195	2	.	.	X
cana-1623	195	3	conclusion	conclusion	NOUN
cana-1623	195	4	in	in	ADP
cana-1623	195	5	this	this	DET
cana-1623	195	6	study	study	NOUN
cana-1623	195	7	,	,	PUNCT
cana-1623	195	8	the	the	DET
cana-1623	195	9	inverse	inverse	ADJ
cana-1623	195	10	weibull	weibull	NOUN
cana-1623	195	11	distribution	distribution	NOUN
cana-1623	195	12	model	model	NOUN
cana-1623	195	13	is	be	AUX
cana-1623	195	14	applied	apply	VERB
cana-1623	195	15	to	to	ADP
cana-1623	195	16	real	real	ADJ
cana-1623	195	17	-	-	PUNCT
cana-1623	195	18	time	time	NOUN
cana-1623	195	19	data	datum	NOUN
cana-1623	195	20	in	in	ADP
cana-1623	195	21	a	a	DET
cana-1623	195	22	fuzzy	fuzzy	ADJ
cana-1623	195	23	environment	environment	NOUN
cana-1623	195	24	.	.	PUNCT
cana-1623	196	1	this	this	DET
cana-1623	196	2	value	value	NOUN
cana-1623	196	3	is	be	AUX
cana-1623	196	4	generated	generate	VERB
cana-1623	196	5	by	by	ADP
cana-1623	196	6	combining	combine	VERB
cana-1623	196	7	the	the	DET
cana-1623	196	8	inverse	inverse	NOUN
cana-1623	196	9	weibull	weibull	NOUN
cana-1623	196	10	distribution	distribution	NOUN
cana-1623	196	11	with	with	ADP
cana-1623	196	12	the	the	DET
cana-1623	196	13	intuitionistic	intuitionistic	ADJ
cana-1623	196	14	fuzzy	fuzzy	ADJ
cana-1623	196	15	set	set	NOUN
cana-1623	196	16	,	,	PUNCT
cana-1623	196	17	and	and	CCONJ
cana-1623	196	18	the	the	DET
cana-1623	196	19	resulting	result	VERB
cana-1623	196	20	curve	curve	NOUN
cana-1623	196	21	is	be	AUX
cana-1623	196	22	used	use	VERB
cana-1623	196	23	to	to	PART
cana-1623	196	24	assess	assess	VERB
cana-1623	196	25	the	the	DET
cana-1623	196	26	performance	performance	NOUN
cana-1623	196	27	of	of	ADP
cana-1623	196	28	the	the	DET
cana-1623	196	29	given	give	VERB
cana-1623	196	30	data	datum	NOUN
cana-1623	196	31	.	.	PUNCT
cana-1623	197	1	the	the	DET
cana-1623	197	2	calculated	calculate	VERB
cana-1623	197	3	mean	mean	NOUN
cana-1623	197	4	squared	square	VERB
cana-1623	197	5	error	error	NOUN
cana-1623	197	6	(	(	PUNCT
cana-1623	197	7	mse	mse	NOUN
cana-1623	197	8	)	)	PUNCT
cana-1623	197	9	,	,	PUNCT
cana-1623	197	10	maximum	maximum	ADJ
cana-1623	197	11	likelihood	likelihood	NOUN
cana-1623	197	12	estimator	estimator	NOUN
cana-1623	197	13	(	(	PUNCT
cana-1623	197	14	mle	mle	PROPN
cana-1623	197	15	)	)	PUNCT
cana-1623	197	16	and	and	CCONJ
cana-1623	197	17	fuzzy	fuzzy	ADJ
cana-1623	197	18	operating	operating	NOUN
cana-1623	197	19	characteristic	characteristic	ADJ
cana-1623	197	20	curves	curve	NOUN
cana-1623	197	21	for	for	ADP
cana-1623	197	22	several	several	ADJ
cana-1623	197	23	functions	function	NOUN
cana-1623	197	24	are	be	AUX
cana-1623	197	25	examined	examine	VERB
cana-1623	197	26	.	.	PUNCT
cana-1623	198	1	this	this	PRON
cana-1623	198	2	includes	include	VERB
cana-1623	198	3	the	the	DET
cana-1623	198	4	probability	probability	NOUN
cana-1623	198	5	density	density	NOUN
cana-1623	198	6	function	function	NOUN
cana-1623	198	7	,	,	PUNCT
cana-1623	198	8	empirical	empirical	ADJ
cana-1623	198	9	pdf	pdf	NOUN
cana-1623	198	10	,	,	PUNCT
cana-1623	198	11	cumulative	cumulative	ADJ
cana-1623	198	12	density	density	NOUN
cana-1623	198	13	function	function	NOUN
cana-1623	198	14	,	,	PUNCT
cana-1623	198	15	empirical	empirical	ADJ
cana-1623	198	16	cdf	cdf	NOUN
cana-1623	198	17	,	,	PUNCT
cana-1623	198	18	and	and	CCONJ
cana-1623	198	19	reliability	reliability	NOUN
cana-1623	198	20	estimation	estimation	NOUN
cana-1623	198	21	for	for	ADP
cana-1623	198	22	the	the	DET
cana-1623	198	23	inverse	inverse	ADJ
cana-1623	198	24	weibull	weibull	NOUN
cana-1623	198	25	distribution	distribution	NOUN
cana-1623	198	26	.	.	PUNCT
cana-1623	199	1	this	this	DET
cana-1623	199	2	study	study	NOUN
cana-1623	199	3	determined	determine	VERB
cana-1623	199	4	that	that	SCONJ
cana-1623	199	5	the	the	DET
cana-1623	199	6	proposed	propose	VERB
cana-1623	199	7	approach	approach	NOUN
cana-1623	199	8	can	can	AUX
cana-1623	199	9	be	be	AUX
cana-1623	199	10	implemented	implement	VERB
cana-1623	199	11	if	if	SCONJ
cana-1623	199	12	the	the	DET
cana-1623	199	13	product	product	NOUN
cana-1623	199	14	's	's	PART
cana-1623	199	15	quality	quality	NOUN
cana-1623	199	16	is	be	AUX
cana-1623	199	17	uncertain	uncertain	ADJ
cana-1623	199	18	.	.	PUNCT
cana-1623	200	1	the	the	DET
cana-1623	200	2	study	study	NOUN
cana-1623	200	3	discovered	discover	VERB
cana-1623	200	4	that	that	SCONJ
cana-1623	200	5	the	the	DET
cana-1623	200	6	strategy	strategy	NOUN
cana-1623	200	7	is	be	AUX
cana-1623	200	8	quite	quite	ADV
cana-1623	200	9	efficient	efficient	ADJ
cana-1623	200	10	in	in	ADP
cana-1623	200	11	unpredictable	unpredictable	ADJ
cana-1623	200	12	agriculture	agriculture	NOUN
cana-1623	200	13	and	and	CCONJ
cana-1623	200	14	situations	situation	NOUN
cana-1623	200	15	.	.	PUNCT
cana-1623	201	1	references	reference	NOUN
cana-1623	201	2	[	[	X
cana-1623	201	3	1	1	NUM
cana-1623	201	4	]	]	X
cana-1623	201	5	zadeh	zadeh	PROPN
cana-1623	201	6	,	,	PUNCT
cana-1623	201	7	lotfi	lotfi	PROPN
cana-1623	201	8	a.	a.	NOUN
cana-1623	201	9	"	"	PUNCT
cana-1623	201	10	fuzzy	fuzzy	ADJ
cana-1623	201	11	sets	set	NOUN
cana-1623	201	12	.	.	PUNCT
cana-1623	201	13	"	"	PUNCT
cana-1623	202	1	information	information	NOUN
cana-1623	202	2	and	and	CCONJ
cana-1623	202	3	control	control	NOUN
cana-1623	202	4	8	8	NUM
cana-1623	202	5	,	,	PUNCT
cana-1623	202	6	no	no	INTJ
cana-1623	202	7	.	.	NOUN
cana-1623	202	8	3	3	NUM
cana-1623	202	9	(	(	PUNCT
cana-1623	202	10	1965	1965	NUM
cana-1623	202	11	):	):	PUNCT
cana-1623	202	12	338	338	NUM
cana-1623	202	13	-	-	SYM
cana-1623	202	14	353	353	NUM
cana-1623	202	15	.	.	PUNCT
cana-1623	203	1	[	[	X
cana-1623	203	2	2	2	NUM
cana-1623	203	3	]	]	X
cana-1623	203	4	kumar	kumar	PROPN
cana-1623	203	5	,	,	PUNCT
cana-1623	203	6	pawan	pawan	PROPN
cana-1623	203	7	,	,	PUNCT
cana-1623	203	8	and	and	CCONJ
cana-1623	203	9	s.	s.	PROPN
cana-1623	203	10	b.	b.	PROPN
cana-1623	203	11	singh	singh	PROPN
cana-1623	203	12	.	.	PUNCT
cana-1623	204	1	"	"	PUNCT
cana-1623	204	2	fuzzy	fuzzy	ADJ
cana-1623	204	3	system	system	NOUN
cana-1623	204	4	reliability	reliability	NOUN
cana-1623	204	5	using	use	VERB
cana-1623	204	6	intuitionistic	intuitionistic	ADJ
cana-1623	204	7	fuzzy	fuzzy	ADJ
cana-1623	204	8	weibull	weibull	NOUN
cana-1623	204	9	lifetime	lifetime	NOUN
cana-1623	204	10	distribution	distribution	NOUN
cana-1623	204	11	.	.	PUNCT
cana-1623	204	12	"	"	PUNCT
cana-1623	205	1	international	international	ADJ
cana-1623	205	2	journal	journal	NOUN
cana-1623	205	3	of	of	ADP
cana-1623	205	4	reliability	reliability	NOUN
cana-1623	205	5	and	and	CCONJ
cana-1623	205	6	applications	application	NOUN
cana-1623	205	7	16	16	NUM
cana-1623	205	8	,	,	PUNCT
cana-1623	205	9	no	no	INTJ
cana-1623	205	10	.	.	NOUN
cana-1623	205	11	1	1	NUM
cana-1623	205	12	(	(	PUNCT
cana-1623	205	13	2015	2015	NUM
cana-1623	205	14	):	):	PUNCT
cana-1623	205	15	15	15	NUM
cana-1623	205	16	-	-	SYM
cana-1623	205	17	26	26	NUM
cana-1623	205	18	.	.	PUNCT
cana-1623	206	1	[	[	X
cana-1623	206	2	3	3	NUM
cana-1623	206	3	]	]	X
cana-1623	206	4	ebrahimnejad	ebrahimnejad	PROPN
cana-1623	206	5	,	,	PUNCT
cana-1623	206	6	ali	ali	PROPN
cana-1623	206	7	,	,	PUNCT
cana-1623	206	8	and	and	CCONJ
cana-1623	206	9	ezzatallah	ezzatallah	PROPN
cana-1623	206	10	b.	b.	PROPN
cana-1623	206	11	jamkhaneh	jamkhaneh	PROPN
cana-1623	206	12	.	.	PUNCT
cana-1623	207	1	"	"	PUNCT
cana-1623	207	2	system	system	NOUN
cana-1623	207	3	reliability	reliability	NOUN
cana-1623	207	4	using	use	VERB
cana-1623	207	5	generalized	generalized	ADJ
cana-1623	207	6	intuitionistic	intuitionistic	ADJ
cana-1623	207	7	fuzzy	fuzzy	ADJ
cana-1623	207	8	rayleigh	rayleigh	NOUN
cana-1623	207	9	lifetime	lifetime	NOUN
cana-1623	207	10	distribution	distribution	NOUN
cana-1623	207	11	.	.	PUNCT
cana-1623	207	12	"	"	PUNCT
cana-1623	208	1	applications	application	NOUN
cana-1623	208	2	and	and	CCONJ
cana-1623	208	3	applied	apply	VERB
cana-1623	208	4	mathematics	mathematic	NOUN
cana-1623	208	5	:	:	PUNCT
cana-1623	208	6	an	an	DET
cana-1623	208	7	international	international	ADJ
cana-1623	208	8	journal	journal	NOUN
cana-1623	208	9	(	(	PUNCT
cana-1623	208	10	aam	aam	PROPN
cana-1623	208	11	)	)	PUNCT
cana-1623	208	12	13	13	NUM
cana-1623	208	13	,	,	PUNCT
cana-1623	208	14	no	no	INTJ
cana-1623	208	15	.	.	NOUN
cana-1623	208	16	1	1	NUM
cana-1623	208	17	(	(	PUNCT
cana-1623	208	18	2018	2018	NUM
cana-1623	208	19	):	):	PUNCT
cana-1623	208	20	7	7	NUM
cana-1623	208	21	.	.	PUNCT
cana-1623	209	1	[	[	X
cana-1623	209	2	4	4	NUM
cana-1623	209	3	]	]	X
cana-1623	209	4	akbari	akbari	PROPN
cana-1623	209	5	,	,	PUNCT
cana-1623	209	6	mohammad	mohammad	PROPN
cana-1623	209	7	ghasem	ghasem	PROPN
cana-1623	209	8	,	,	PUNCT
cana-1623	209	9	and	and	CCONJ
cana-1623	209	10	gholamreza	gholamreza	PROPN
cana-1623	209	11	hesamian	hesamian	NOUN
cana-1623	209	12	.	.	PUNCT
cana-1623	210	1	"	"	PUNCT
cana-1623	210	2	time	time	NOUN
cana-1623	210	3	-	-	PUNCT
cana-1623	210	4	dependent	dependent	ADJ
cana-1623	210	5	intuitionistic	intuitionistic	ADJ
cana-1623	210	6	fuzzy	fuzzy	ADJ
cana-1623	210	7	system	system	NOUN
cana-1623	210	8	reliability	reliability	NOUN
cana-1623	210	9	analysis	analysis	NOUN
cana-1623	210	10	.	.	PUNCT
cana-1623	210	11	"	"	PUNCT
cana-1623	210	12	soft	soft	ADJ
cana-1623	210	13	computing	computing	NOUN
cana-1623	210	14	24	24	NUM
cana-1623	210	15	(	(	PUNCT
cana-1623	210	16	2020	2020	NUM
cana-1623	210	17	):	):	PUNCT
cana-1623	210	18	14441	14441	NUM
cana-1623	210	19	-	-	SYM
cana-1623	210	20	14448	14448	NUM
cana-1623	210	21	.	.	PUNCT
cana-1623	211	1	[	[	X
cana-1623	211	2	5	5	NUM
cana-1623	211	3	]	]	X
cana-1623	211	4	roohanizadeh	roohanizadeh	PROPN
cana-1623	211	5	,	,	PUNCT
cana-1623	211	6	zahra	zahra	PROPN
cana-1623	211	7	,	,	PUNCT
cana-1623	211	8	ezzatallah	ezzatallah	PROPN
cana-1623	211	9	baloui	baloui	PROPN
cana-1623	211	10	jamkhaneh	jamkhaneh	PROPN
cana-1623	211	11	,	,	PUNCT
cana-1623	211	12	and	and	CCONJ
cana-1623	211	13	einolah	einolah	PROPN
cana-1623	211	14	deiri	deiri	NOUN
cana-1623	211	15	.	.	PUNCT
cana-1623	212	1	"	"	PUNCT
cana-1623	212	2	a	a	DET
cana-1623	212	3	novel	novel	ADJ
cana-1623	212	4	approach	approach	NOUN
cana-1623	212	5	for	for	ADP
cana-1623	212	6	analyzing	analyze	VERB
cana-1623	212	7	system	system	NOUN
cana-1623	212	8	reliability	reliability	NOUN
cana-1623	212	9	using	use	VERB
cana-1623	212	10	generalized	generalized	ADJ
cana-1623	212	11	intuitionistic	intuitionistic	ADJ
cana-1623	212	12	fuzzy	fuzzy	ADJ
cana-1623	212	13	pareto	pareto	ADJ
cana-1623	212	14	lifetime	lifetime	NOUN
cana-1623	212	15	distribution	distribution	NOUN
cana-1623	212	16	.	.	PUNCT
cana-1623	212	17	"	"	PUNCT
cana-1623	213	1	journal	journal	NOUN
cana-1623	213	2	of	of	ADP
cana-1623	213	3	mathematical	mathematical	ADJ
cana-1623	213	4	extension	extension	NOUN
cana-1623	213	5	16	16	NUM
cana-1623	213	6	(	(	PUNCT
cana-1623	213	7	2021	2021	NUM
cana-1623	213	8	)	)	PUNCT
cana-1623	213	9	.	.	PUNCT
cana-1623	214	1	[	[	X
cana-1623	214	2	6	6	NUM
cana-1623	214	3	]	]	X
cana-1623	214	4	bhandari	bhandari	PROPN
cana-1623	214	5	,	,	PUNCT
cana-1623	214	6	ashok	ashok	PROPN
cana-1623	214	7	singh	singh	PROPN
cana-1623	214	8	,	,	PUNCT
cana-1623	214	9	akshay	akshay	PROPN
cana-1623	214	10	kumar	kumar	PROPN
cana-1623	214	11	,	,	PUNCT
cana-1623	214	12	and	and	CCONJ
cana-1623	214	13	mangey	mangey	PROPN
cana-1623	214	14	ram	ram	NOUN
cana-1623	214	15	.	.	PUNCT
cana-1623	215	1	"	"	PUNCT
cana-1623	215	2	fuzzy	fuzzy	ADJ
cana-1623	215	3	reliability	reliability	NOUN
cana-1623	215	4	evaluation	evaluation	NOUN
cana-1623	215	5	of	of	ADP
cana-1623	215	6	complex	complex	ADJ
cana-1623	215	7	systems	system	NOUN
cana-1623	215	8	using	use	VERB
cana-1623	215	9	intuitionistic	intuitionistic	ADJ
cana-1623	215	10	fuzzy	fuzzy	ADJ
cana-1623	215	11	sets	set	NOUN
cana-1623	215	12	.	.	PUNCT
cana-1623	215	13	"	"	PUNCT
cana-1623	216	1	in	in	ADP
cana-1623	216	2	advancements	advancement	NOUN
cana-1623	216	3	in	in	ADP
cana-1623	216	4	fuzzy	fuzzy	ADJ
cana-1623	216	5	reliability	reliability	NOUN
cana-1623	216	6	theory	theory	NOUN
cana-1623	216	7	,	,	PUNCT
cana-1623	216	8	pp	pp	ADJ
cana-1623	216	9	.	.	PUNCT
cana-1623	216	10	166	166	NUM
cana-1623	216	11	-	-	SYM
cana-1623	216	12	180	180	NUM
cana-1623	216	13	.	.	PUNCT
cana-1623	216	14	igi	igi	PROPN
cana-1623	216	15	global	global	PROPN
cana-1623	216	16	,	,	PUNCT
cana-1623	216	17	2021	2021	NUM
cana-1623	216	18	.	.	PUNCT
cana-1623	217	1	[	[	X
cana-1623	217	2	7	7	NUM
cana-1623	217	3	]	]	X
cana-1623	217	4	taha	taha	PROPN
cana-1623	217	5	,	,	PUNCT
cana-1623	217	6	taha	taha	PROPN
cana-1623	217	7	anwar	anwar	PROPN
cana-1623	217	8	,	,	PUNCT
cana-1623	217	9	and	and	CCONJ
cana-1623	217	10	abbas	abbas	PROPN
cana-1623	217	11	najim	najim	PROPN
cana-1623	217	12	salman	salman	PROPN
cana-1623	217	13	.	.	PUNCT
cana-1623	218	1	"	"	PUNCT
cana-1623	218	2	comparison	comparison	VERB
cana-1623	218	3	different	different	ADJ
cana-1623	218	4	estimation	estimation	NOUN
cana-1623	218	5	method	method	NOUN
cana-1623	218	6	for	for	ADP
cana-1623	218	7	reliability	reliability	NOUN
cana-1623	218	8	function	function	NOUN
cana-1623	218	9	of	of	ADP
cana-1623	218	10	rayleigh	rayleigh	ADJ
cana-1623	218	11	distribution	distribution	NOUN
cana-1623	218	12	based	base	VERB
cana-1623	218	13	on	on	ADP
cana-1623	218	14	fuzzy	fuzzy	ADJ
cana-1623	218	15	lifetime	lifetime	NOUN
cana-1623	218	16	data	datum	NOUN
cana-1623	218	17	.	.	PUNCT
cana-1623	218	18	"	"	PUNCT
cana-1623	219	1	iraqi	iraqi	ADJ
cana-1623	219	2	journal	journal	NOUN
cana-1623	219	3	of	of	ADP
cana-1623	219	4	science	science	NOUN
cana-1623	219	5	(	(	PUNCT
cana-1623	219	6	2022	2022	NUM
cana-1623	219	7	):	):	PUNCT
cana-1623	219	8	1707	1707	NUM
cana-1623	219	9	-	-	SYM
cana-1623	219	10	1719	1719	NUM
cana-1623	219	11	.	.	PUNCT
cana-1623	220	1	[	[	X
cana-1623	220	2	8	8	NUM
cana-1623	220	3	]	]	X
cana-1623	220	4	bhadauria	bhadauria	NOUN
cana-1623	220	5	,	,	PUNCT
cana-1623	220	6	jaya	jaya	PROPN
cana-1623	220	7	,	,	PUNCT
cana-1623	220	8	sudha	sudha	PROPN
cana-1623	220	9	rana	rana	PROPN
cana-1623	220	10	,	,	PUNCT
cana-1623	220	11	anita	anita	PROPN
cana-1623	220	12	kumari	kumari	PROPN
cana-1623	220	13	,	,	PUNCT
cana-1623	220	14	and	and	CCONJ
cana-1623	220	15	deepak	deepak	PROPN
cana-1623	220	16	kumar	kumar	PROPN
cana-1623	220	17	.	.	PUNCT
cana-1623	221	1	"	"	PUNCT
cana-1623	221	2	reliability	reliability	NOUN
cana-1623	221	3	analysis	analysis	NOUN
cana-1623	221	4	of	of	ADP
cana-1623	221	5	different	different	ADJ
cana-1623	221	6	complex	complex	ADJ
cana-1623	221	7	systems	system	NOUN
cana-1623	221	8	using	use	VERB
cana-1623	221	9	intuitionistic	intuitionistic	ADJ
cana-1623	221	10	trapezoidal	trapezoidal	ADJ
cana-1623	221	11	fuzzy	fuzzy	ADJ
cana-1623	221	12	number	number	NOUN
cana-1623	221	13	.	.	PUNCT
cana-1623	221	14	"	"	PUNCT
cana-1623	222	1	in	in	ADP
cana-1623	222	2	2022	2022	NUM
cana-1623	222	3	7th	7th	ADJ
cana-1623	222	4	international	international	ADJ
cana-1623	222	5	conference	conference	NOUN
cana-1623	222	6	on	on	ADP
cana-1623	222	7	computing	computing	NOUN
cana-1623	222	8	,	,	PUNCT
cana-1623	222	9	communication	communication	NOUN
cana-1623	222	10	and	and	CCONJ
cana-1623	222	11	security	security	NOUN
cana-1623	222	12	(	(	PUNCT
cana-1623	222	13	icccs	icccs	PROPN
cana-1623	222	14	)	)	PUNCT
cana-1623	222	15	,	,	PUNCT
cana-1623	222	16	pp	pp	PROPN
cana-1623	222	17	.	.	PUNCT
cana-1623	223	1	1	1	NUM
cana-1623	223	2	-	-	SYM
cana-1623	223	3	6	6	NUM
cana-1623	223	4	.	.	PUNCT
cana-1623	223	5	ieee	ieee	NOUN
cana-1623	223	6	,	,	PUNCT
cana-1623	223	7	2022	2022	NUM
cana-1623	223	8	.	.	PUNCT
cana-1623	224	1	[	[	X
cana-1623	224	2	9	9	NUM
cana-1623	224	3	]	]	X
cana-1623	224	4	chachra	chachra	NOUN
cana-1623	224	5	,	,	PUNCT
cana-1623	224	6	aayushi	aayushi	PROPN
cana-1623	224	7	,	,	PUNCT
cana-1623	224	8	akshay	akshay	PROPN
cana-1623	224	9	kumar	kumar	PROPN
cana-1623	224	10	,	,	PUNCT
cana-1623	224	11	and	and	CCONJ
cana-1623	224	12	mangey	mangey	PROPN
cana-1623	224	13	ram	ram	NOUN
cana-1623	224	14	.	.	PUNCT
cana-1623	225	1	"	"	PUNCT
cana-1623	225	2	intuitionistic	intuitionistic	ADJ
cana-1623	225	3	fuzzy	fuzzy	ADJ
cana-1623	225	4	approach	approach	NOUN
cana-1623	225	5	to	to	ADP
cana-1623	225	6	reliability	reliability	NOUN
cana-1623	225	7	assessment	assessment	NOUN
cana-1623	225	8	of	of	ADP
cana-1623	225	9	multi	multi	ADJ
cana-1623	225	10	-	-	ADJ
cana-1623	225	11	state	state	ADJ
cana-1623	225	12	systems	system	NOUN
cana-1623	225	13	.	.	PUNCT
cana-1623	225	14	"	"	PUNCT
cana-1623	226	1	mathematics	mathematic	NOUN
cana-1623	226	2	and	and	CCONJ
cana-1623	226	3	computers	computer	NOUN
cana-1623	226	4	in	in	ADP
cana-1623	226	5	simulation	simulation	NOUN
cana-1623	226	6	212	212	NUM
cana-1623	226	7	(	(	PUNCT
cana-1623	226	8	2023	2023	NUM
cana-1623	226	9	):	):	PUNCT
cana-1623	226	10	489	489	NUM
cana-1623	226	11	-	-	SYM
cana-1623	226	12	503	503	NUM
cana-1623	226	13	.	.	PUNCT
cana-1623	227	1	[	[	X
cana-1623	227	2	10	10	NUM
cana-1623	227	3	]	]	X
cana-1623	227	4	patrai	patrai	NOUN
cana-1623	227	5	,	,	PUNCT
cana-1623	227	6	kalika	kalika	NOUN
cana-1623	227	7	,	,	PUNCT
cana-1623	227	8	and	and	CCONJ
cana-1623	227	9	surbhi	surbhi	PROPN
cana-1623	227	10	gupta	gupta	PROPN
cana-1623	227	11	.	.	PUNCT
cana-1623	228	1	"	"	PUNCT
cana-1623	228	2	reliability	reliability	NOUN
cana-1623	228	3	estimation	estimation	NOUN
cana-1623	228	4	of	of	ADP
cana-1623	228	5	a	a	DET
cana-1623	228	6	degradable	degradable	ADJ
cana-1623	228	7	system	system	NOUN
cana-1623	228	8	using	use	VERB
cana-1623	228	9	intuitionistic	intuitionistic	ADJ
cana-1623	228	10	fuzzy	fuzzy	ADJ
cana-1623	228	11	weibull	weibull	NOUN
cana-1623	228	12	lifetime	lifetime	NOUN
cana-1623	228	13	distribution	distribution	NOUN
cana-1623	228	14	.	.	PUNCT
cana-1623	228	15	"	"	PUNCT
cana-1623	229	1	(	(	PUNCT
cana-1623	229	2	2023	2023	NUM
cana-1623	229	3	):	):	PUNCT
cana-1623	229	4	2317	2317	NUM
cana-1623	229	5	-	-	SYM
cana-1623	229	6	2324	2324	NUM
cana-1623	229	7	.	.	PUNCT
cana-1623	230	1	[	[	X
cana-1623	230	2	11	11	NUM
cana-1623	230	3	]	]	SYM
cana-1623	230	4	hu	hu	PROPN
cana-1623	230	5	,	,	PUNCT
cana-1623	230	6	xue	xue	PROPN
cana-1623	230	7	,	,	PUNCT
cana-1623	230	8	and	and	CCONJ
cana-1623	230	9	haiping	haipe	VERB
cana-1623	230	10	ren	ren	PROPN
cana-1623	230	11	.	.	PUNCT
cana-1623	231	1	"	"	PUNCT
cana-1623	231	2	reliability	reliability	NOUN
cana-1623	231	3	estimation	estimation	NOUN
cana-1623	231	4	of	of	ADP
cana-1623	231	5	inverse	inverse	ADJ
cana-1623	231	6	weibull	weibull	NOUN
cana-1623	231	7	distribution	distribution	NOUN
cana-1623	231	8	based	base	VERB
cana-1623	231	9	on	on	ADP
cana-1623	231	10	intuitionistic	intuitionistic	ADJ
cana-1623	231	11	fuzzy	fuzzy	ADJ
cana-1623	231	12	lifetime	lifetime	NOUN
cana-1623	231	13	data	datum	NOUN
cana-1623	231	14	.	.	PUNCT
cana-1623	231	15	"	"	PUNCT
cana-1623	231	16	axioms	axiom	VERB
cana-1623	231	17	12	12	NUM
cana-1623	231	18	,	,	PUNCT
cana-1623	231	19	no	no	INTJ
cana-1623	231	20	.	.	NOUN
cana-1623	231	21	9	9	NUM
cana-1623	231	22	(	(	PUNCT
cana-1623	231	23	2023	2023	NUM
cana-1623	231	24	):	):	PUNCT
cana-1623	231	25	838	838	NUM
cana-1623	231	26	.	.	PUNCT
cana-1623	232	1	[	[	X
cana-1623	232	2	12	12	NUM
cana-1623	232	3	]	]	X
cana-1623	232	4	https://www.kaggle.com/datasets/akshatgupta7/crop-yield-in-indian-states-dataset	https://www.kaggle.com/datasets/akshatgupta7/crop-yield-in-indian-states-dataset	NOUN
