id	sid	tid	token	lemma	pos
cana-5926	1	1	communications	communication	NOUN
cana-5926	1	2	on	on	ADP
cana-5926	1	3	applied	apply	VERB
cana-5926	1	4	nonlinear	nonlinear	ADJ
cana-5926	1	5	analysis	analysis	NOUN
cana-5926	1	6	issn	issn	NOUN
cana-5926	1	7	:	:	PUNCT
cana-5926	1	8	1074	1074	NUM
cana-5926	1	9	-	-	PUNCT
cana-5926	1	10	133x	133x	NUM
cana-5926	1	11	vol	vol	VERB
cana-5926	1	12	32	32	NUM
cana-5926	1	13	no	no	NOUN
cana-5926	1	14	.	.	PUNCT
cana-5926	2	1	10s	10	NOUN
cana-5926	2	2	(	(	PUNCT
cana-5926	2	3	2025	2025	NUM
cana-5926	2	4	)	)	PUNCT
cana-5926	2	5	3051	3051	NUM
cana-5926	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	2	7	neutrosophic	neutrosophic	ADJ
cana-5926	2	8	credibility	credibility	NOUN
cana-5926	2	9	bounds	bound	VERB
cana-5926	2	10	for	for	ADP
cana-5926	2	11	the	the	DET
cana-5926	2	12	zb	zb	PROPN
cana-5926	2	13	distribution	distribution	NOUN
cana-5926	2	14	:	:	PUNCT
cana-5926	3	1	theory	theory	NOUN
cana-5926	3	2	,	,	PUNCT
cana-5926	3	3	simulation	simulation	NOUN
cana-5926	3	4	,	,	PUNCT
cana-5926	3	5	and	and	CCONJ
cana-5926	3	6	applications	application	NOUN
cana-5926	3	7	abderrahmane	abderrahmane	PROPN
cana-5926	3	8	bensid	bensid	PROPN
cana-5926	3	9	and	and	CCONJ
cana-5926	3	10	thara	thara	PROPN
cana-5926	3	11	belhamra	belhamra	PROPN
cana-5926	3	12	1department	1department	PROPN
cana-5926	3	13	of	of	ADP
cana-5926	3	14	mathematics	mathematic	NOUN
cana-5926	3	15	,	,	PUNCT
cana-5926	3	16	frères	frère	NOUN
cana-5926	3	17	mentouri	mentouri	PROPN
cana-5926	3	18	constantine	constantine	PROPN
cana-5926	3	19	university	university	PROPN
cana-5926	3	20	,	,	PUNCT
cana-5926	3	21	algeria	algeria	PROPN
cana-5926	3	22	abderrahmanebensid4@gmail.com	abderrahmanebensid4@gmail.com	X
cana-5926	4	1	2laboratory	2laboratory	NUM
cana-5926	4	2	of	of	ADP
cana-5926	4	3	probability	probability	NOUN
cana-5926	4	4	and	and	CCONJ
cana-5926	4	5	statistics	statistic	NOUN
cana-5926	4	6	(	(	PUNCT
cana-5926	4	7	laps	laps	X
cana-5926	4	8	)	)	PUNCT
cana-5926	4	9	,	,	PUNCT
cana-5926	4	10	badji	badji	PROPN
cana-5926	4	11	mokhtar	mokhtar	PROPN
cana-5926	4	12	-	-	PUNCT
cana-5926	4	13	annaba	annaba	PROPN
cana-5926	4	14	university	university	PROPN
cana-5926	4	15	p.	p.	PROPN
cana-5926	4	16	o.	o.	PROPN
cana-5926	4	17	box	box	PROPN
cana-5926	4	18	12	12	NUM
cana-5926	4	19	,	,	PUNCT
cana-5926	4	20	23000	23000	NUM
cana-5926	4	21	annaba	annaba	PROPN
cana-5926	4	22	,	,	PUNCT
cana-5926	4	23	algeria	algeria	PROPN
cana-5926	4	24	thara.belhamra@univ-annaba.dz	thara.belhamra@univ-annaba.dz	PROPN
cana-5926	4	25	article	article	NOUN
cana-5926	4	26	history	history	NOUN
cana-5926	4	27	:	:	PUNCT
cana-5926	4	28	received	receive	VERB
cana-5926	4	29	:	:	PUNCT
cana-5926	4	30	02	02	NUM
cana-5926	4	31	-	-	PUNCT
cana-5926	4	32	01	01	NUM
cana-5926	4	33	-	-	PUNCT
cana-5926	4	34	2025	2025	NUM
cana-5926	4	35	revised	revise	VERB
cana-5926	4	36	:	:	PUNCT
cana-5926	4	37	25	25	NUM
cana-5926	4	38	-	-	PUNCT
cana-5926	4	39	02	02	NUM
cana-5926	4	40	-	-	PUNCT
cana-5926	4	41	2025	2025	NUM
cana-5926	4	42	accepted	accept	VERB
cana-5926	4	43	:	:	PUNCT
cana-5926	4	44	20	20	NUM
cana-5926	4	45	-	-	SYM
cana-5926	4	46	03	03	NUM
cana-5926	4	47	-	-	PUNCT
cana-5926	4	48	2025	2025	NUM
cana-5926	4	49	abstract	abstract	NOUN
cana-5926	4	50	this	this	DET
cana-5926	4	51	paper	paper	NOUN
cana-5926	4	52	introduces	introduce	VERB
cana-5926	4	53	the	the	DET
cana-5926	4	54	zb	zb	NOUN
cana-5926	4	55	distribution	distribution	NOUN
cana-5926	4	56	,	,	PUNCT
cana-5926	4	57	a	a	DET
cana-5926	4	58	novel	novel	ADJ
cana-5926	4	59	mixture	mixture	NOUN
cana-5926	4	60	model	model	NOUN
cana-5926	4	61	that	that	PRON
cana-5926	4	62	combines	combine	VERB
cana-5926	4	63	the	the	DET
cana-5926	4	64	exponential	exponential	NOUN
cana-5926	4	65	and	and	CCONJ
cana-5926	4	66	gamma	gamma	NOUN
cana-5926	4	67	distributions	distribution	NOUN
cana-5926	4	68	to	to	PART
cana-5926	4	69	flexibly	flexibly	ADV
cana-5926	4	70	capture	capture	VERB
cana-5926	4	71	both	both	PRON
cana-5926	4	72	lightand	lightand	ADJ
cana-5926	4	73	heavy	heavy	ADJ
cana-5926	4	74	-	-	PUNCT
cana-5926	4	75	tailed	tail	VERB
cana-5926	4	76	behaviours	behaviour	NOUN
cana-5926	4	77	in	in	ADP
cana-5926	4	78	uncertain	uncertain	ADJ
cana-5926	4	79	data	datum	NOUN
cana-5926	4	80	.	.	PUNCT
cana-5926	5	1	analytical	analytical	ADJ
cana-5926	5	2	expressions	expression	NOUN
cana-5926	5	3	for	for	ADP
cana-5926	5	4	the	the	DET
cana-5926	5	5	probability	probability	NOUN
cana-5926	5	6	density	density	NOUN
cana-5926	5	7	function	function	NOUN
cana-5926	5	8	,	,	PUNCT
cana-5926	5	9	cumulative	cumulative	ADJ
cana-5926	5	10	distribution	distribution	NOUN
cana-5926	5	11	function	function	NOUN
cana-5926	5	12	,	,	PUNCT
cana-5926	5	13	survival	survival	NOUN
cana-5926	5	14	function	function	NOUN
cana-5926	5	15	,	,	PUNCT
cana-5926	5	16	and	and	CCONJ
cana-5926	5	17	hazard	hazard	NOUN
cana-5926	5	18	rate	rate	NOUN
cana-5926	5	19	are	be	AUX
cana-5926	5	20	derived	derive	VERB
cana-5926	5	21	in	in	ADP
cana-5926	5	22	closed	closed	ADJ
cana-5926	5	23	form	form	NOUN
cana-5926	5	24	.	.	PUNCT
cana-5926	6	1	to	to	PART
cana-5926	6	2	address	address	VERB
cana-5926	6	3	hybrid	hybrid	ADJ
cana-5926	6	4	uncertainty	uncertainty	NOUN
cana-5926	6	5	—	—	PUNCT
cana-5926	6	6	stemming	stem	VERB
cana-5926	6	7	from	from	ADP
cana-5926	6	8	both	both	CCONJ
cana-5926	6	9	randomness	randomness	NOUN
cana-5926	6	10	and	and	CCONJ
cana-5926	6	11	imprecision	imprecision	NOUN
cana-5926	6	12	—	—	PUNCT
cana-5926	6	13	the	the	DET
cana-5926	6	14	zb	zb	NOUN
cana-5926	6	15	distribution	distribution	NOUN
cana-5926	6	16	is	be	AUX
cana-5926	6	17	integrated	integrate	VERB
cana-5926	6	18	with	with	ADP
cana-5926	6	19	neutrosophic	neutrosophic	ADJ
cana-5926	6	20	logic	logic	NOUN
cana-5926	6	21	and	and	CCONJ
cana-5926	6	22	credibility	credibility	NOUN
cana-5926	6	23	theory	theory	NOUN
cana-5926	6	24	.	.	PUNCT
cana-5926	7	1	this	this	DET
cana-5926	7	2	integration	integration	NOUN
cana-5926	7	3	leads	lead	VERB
cana-5926	7	4	to	to	ADP
cana-5926	7	5	the	the	DET
cana-5926	7	6	formulation	formulation	NOUN
cana-5926	7	7	of	of	ADP
cana-5926	7	8	neutrosophic	neutrosophic	ADJ
cana-5926	7	9	credibility	credibility	NOUN
cana-5926	7	10	bounds	bound	NOUN
cana-5926	7	11	(	(	PUNCT
cana-5926	7	12	ncbs	ncbs	NOUN
cana-5926	7	13	)	)	PUNCT
cana-5926	7	14	,	,	PUNCT
cana-5926	7	15	which	which	PRON
cana-5926	7	16	provide	provide	VERB
cana-5926	7	17	interpretable	interpretable	ADJ
cana-5926	7	18	interval	interval	NOUN
cana-5926	7	19	estimates	estimate	NOUN
cana-5926	7	20	under	under	ADP
cana-5926	7	21	varying	vary	VERB
cana-5926	7	22	degrees	degree	NOUN
cana-5926	7	23	of	of	ADP
cana-5926	7	24	truth	truth	NOUN
cana-5926	7	25	,	,	PUNCT
cana-5926	7	26	indeterminacy	indeterminacy	NOUN
cana-5926	7	27	,	,	PUNCT
cana-5926	7	28	and	and	CCONJ
cana-5926	7	29	falsity	falsity	NOUN
cana-5926	7	30	.	.	PUNCT
cana-5926	8	1	a	a	DET
cana-5926	8	2	comprehensive	comprehensive	ADJ
cana-5926	8	3	simulation	simulation	NOUN
cana-5926	8	4	study	study	NOUN
cana-5926	8	5	explores	explore	VERB
cana-5926	8	6	how	how	SCONJ
cana-5926	8	7	parameters	parameter	NOUN
cana-5926	8	8	such	such	ADJ
cana-5926	8	9	as	as	ADP
cana-5926	8	10	the	the	DET
cana-5926	8	11	mixing	mix	VERB
cana-5926	8	12	proportion	proportion	NOUN
cana-5926	8	13	(	(	PUNCT
cana-5926	8	14	θ	θ	NOUN
cana-5926	8	15	)	)	PUNCT
cana-5926	8	16	and	and	CCONJ
cana-5926	8	17	credibility	credibility	NOUN
cana-5926	8	18	level	level	NOUN
cana-5926	8	19	(	(	PUNCT
cana-5926	8	20	γ	γ	NOUN
cana-5926	8	21	)	)	PUNCT
cana-5926	8	22	influence	influence	NOUN
cana-5926	8	23	the	the	DET
cana-5926	8	24	width	width	NOUN
cana-5926	8	25	and	and	CCONJ
cana-5926	8	26	coverage	coverage	NOUN
cana-5926	8	27	of	of	ADP
cana-5926	8	28	the	the	DET
cana-5926	8	29	bounds	bound	NOUN
cana-5926	8	30	.	.	PUNCT
cana-5926	9	1	applications	application	NOUN
cana-5926	9	2	in	in	ADP
cana-5926	9	3	insurance	insurance	NOUN
cana-5926	9	4	loss	loss	NOUN
cana-5926	9	5	modeling	modeling	NOUN
cana-5926	9	6	,	,	PUNCT
cana-5926	9	7	credit	credit	NOUN
cana-5926	9	8	risk	risk	NOUN
cana-5926	9	9	classification	classification	NOUN
cana-5926	9	10	,	,	PUNCT
cana-5926	9	11	and	and	CCONJ
cana-5926	9	12	financial	financial	ADJ
cana-5926	9	13	stress	stress	NOUN
cana-5926	9	14	testing	testing	NOUN
cana-5926	9	15	illustrate	illustrate	VERB
cana-5926	9	16	the	the	DET
cana-5926	9	17	practical	practical	ADJ
cana-5926	9	18	utility	utility	NOUN
cana-5926	9	19	of	of	ADP
cana-5926	9	20	the	the	DET
cana-5926	9	21	proposed	propose	VERB
cana-5926	9	22	zb	zb	PROPN
cana-5926	9	23	–	–	PUNCT
cana-5926	9	24	neutrosophic	neutrosophic	ADJ
cana-5926	9	25	framework	framework	NOUN
cana-5926	9	26	in	in	ADP
cana-5926	9	27	data	data	NOUN
cana-5926	9	28	-	-	PUNCT
cana-5926	9	29	driven	drive	VERB
cana-5926	9	30	decision	decision	NOUN
cana-5926	9	31	-	-	PUNCT
cana-5926	9	32	making	making	NOUN
cana-5926	9	33	.	.	PUNCT
cana-5926	10	1	keywords	keyword	NOUN
cana-5926	10	2	:	:	PUNCT
cana-5926	10	3	neutrosophic	neutrosophic	ADJ
cana-5926	10	4	logic	logic	NOUN
cana-5926	10	5	,	,	PUNCT
cana-5926	10	6	credibility	credibility	NOUN
cana-5926	10	7	theory	theory	NOUN
cana-5926	10	8	,	,	PUNCT
cana-5926	10	9	zb	zb	NOUN
cana-5926	10	10	distribution	distribution	NOUN
cana-5926	10	11	,	,	PUNCT
cana-5926	10	12	interval	interval	NOUN
cana-5926	10	13	estimation	estimation	NOUN
cana-5926	10	14	,	,	PUNCT
cana-5926	10	15	hybrid	hybrid	ADJ
cana-5926	10	16	uncertainty	uncertainty	NOUN
cana-5926	10	17	introduction	introduction	NOUN
cana-5926	10	18	in	in	ADP
cana-5926	10	19	many	many	ADJ
cana-5926	10	20	real	real	ADJ
cana-5926	10	21	-	-	PUNCT
cana-5926	10	22	world	world	NOUN
cana-5926	10	23	applications	application	NOUN
cana-5926	10	24	,	,	PUNCT
cana-5926	10	25	uncertainty	uncertainty	NOUN
cana-5926	10	26	arises	arise	VERB
cana-5926	10	27	not	not	PART
cana-5926	10	28	only	only	ADV
cana-5926	10	29	from	from	ADP
cana-5926	10	30	randomness	randomness	NOUN
cana-5926	10	31	but	but	CCONJ
cana-5926	10	32	also	also	ADV
cana-5926	10	33	from	from	ADP
cana-5926	10	34	imprecision	imprecision	NOUN
cana-5926	10	35	,	,	PUNCT
cana-5926	10	36	vagueness	vagueness	NOUN
cana-5926	10	37	,	,	PUNCT
cana-5926	10	38	and	and	CCONJ
cana-5926	10	39	incomplete	incomplete	ADJ
cana-5926	10	40	knowledge	knowledge	NOUN
cana-5926	10	41	.	.	PUNCT
cana-5926	11	1	traditional	traditional	ADJ
cana-5926	11	2	statistical	statistical	ADJ
cana-5926	11	3	models	model	NOUN
cana-5926	11	4	based	base	VERB
cana-5926	11	5	solely	solely	ADV
cana-5926	11	6	on	on	ADP
cana-5926	11	7	precise	precise	ADJ
cana-5926	11	8	probability	probability	NOUN
cana-5926	11	9	distributions	distribution	NOUN
cana-5926	11	10	and	and	CCONJ
cana-5926	11	11	point	point	NOUN
cana-5926	11	12	-	-	PUNCT
cana-5926	11	13	based	base	VERB
cana-5926	11	14	estimates	estimate	NOUN
cana-5926	11	15	often	often	ADV
cana-5926	11	16	fall	fall	VERB
cana-5926	11	17	short	short	ADJ
cana-5926	11	18	in	in	ADP
cana-5926	11	19	capturing	capture	VERB
cana-5926	11	20	such	such	ADJ
cana-5926	11	21	hybrid	hybrid	ADJ
cana-5926	11	22	uncertainty	uncertainty	NOUN
cana-5926	11	23	.	.	PUNCT
cana-5926	12	1	this	this	DET
cana-5926	12	2	limitation	limitation	NOUN
cana-5926	12	3	has	have	AUX
cana-5926	12	4	motivated	motivate	VERB
cana-5926	12	5	the	the	DET
cana-5926	12	6	development	development	NOUN
cana-5926	12	7	of	of	ADP
cana-5926	12	8	alternative	alternative	ADJ
cana-5926	12	9	modeling	modeling	ADJ
cana-5926	12	10	frameworks	framework	NOUN
cana-5926	12	11	,	,	PUNCT
cana-5926	12	12	such	such	ADJ
cana-5926	12	13	as	as	ADP
cana-5926	12	14	neutrosophic	neutrosophic	ADJ
cana-5926	12	15	logic	logic	NOUN
cana-5926	12	16	(	(	PUNCT
cana-5926	12	17	smarandache	smarandache	NOUN
cana-5926	12	18	,	,	PUNCT
cana-5926	12	19	2005	2005	NUM
cana-5926	12	20	)	)	PUNCT
cana-5926	12	21	and	and	CCONJ
cana-5926	12	22	credibility	credibility	NOUN
cana-5926	12	23	theory	theory	NOUN
cana-5926	12	24	(	(	PUNCT
cana-5926	12	25	liu	liu	PROPN
cana-5926	12	26	,	,	PUNCT
cana-5926	12	27	2004	2004	NUM
cana-5926	12	28	)	)	PUNCT
cana-5926	12	29	,	,	PUNCT
cana-5926	12	30	which	which	PRON
cana-5926	12	31	extend	extend	VERB
cana-5926	12	32	beyond	beyond	ADP
cana-5926	12	33	classical	classical	ADJ
cana-5926	12	34	probability	probability	NOUN
cana-5926	12	35	theory	theory	NOUN
cana-5926	12	36	by	by	ADP
cana-5926	12	37	incorporating	incorporate	VERB
cana-5926	12	38	degrees	degree	NOUN
cana-5926	12	39	of	of	ADP
cana-5926	12	40	truth	truth	NOUN
cana-5926	12	41	,	,	PUNCT
cana-5926	12	42	indeterminacy	indeterminacy	NOUN
cana-5926	12	43	,	,	PUNCT
cana-5926	12	44	and	and	CCONJ
cana-5926	12	45	falsity	falsity	NOUN
cana-5926	12	46	.	.	PUNCT
cana-5926	13	1	previously	previously	ADV
cana-5926	13	2	,	,	PUNCT
cana-5926	13	3	many	many	ADJ
cana-5926	13	4	studies	study	NOUN
cana-5926	13	5	have	have	AUX
cana-5926	13	6	focused	focus	VERB
cana-5926	13	7	on	on	ADP
cana-5926	13	8	lifetime	lifetime	NOUN
cana-5926	13	9	modeling	modeling	NOUN
cana-5926	13	10	.	.	PUNCT
cana-5926	14	1	for	for	ADP
cana-5926	14	2	instance	instance	NOUN
cana-5926	14	3	,	,	PUNCT
cana-5926	14	4	lindley	lindley	PROPN
cana-5926	14	5	(	(	PUNCT
cana-5926	14	6	1958	1958	NUM
cana-5926	14	7	)	)	PUNCT
cana-5926	14	8	introduced	introduce	VERB
cana-5926	14	9	the	the	DET
cana-5926	14	10	lindley	lindley	NOUN
cana-5926	14	11	distribution	distribution	NOUN
cana-5926	14	12	,	,	PUNCT
cana-5926	14	13	which	which	PRON
cana-5926	14	14	was	be	AUX
cana-5926	14	15	later	later	ADV
cana-5926	14	16	used	use	VERB
cana-5926	14	17	as	as	ADP
cana-5926	14	18	a	a	DET
cana-5926	14	19	mixing	mix	VERB
cana-5926	14	20	distribution	distribution	NOUN
cana-5926	14	21	for	for	ADP
cana-5926	14	22	the	the	DET
cana-5926	14	23	poisson	poisson	NOUN
cana-5926	14	24	parameter	parameter	NOUN
cana-5926	14	25	by	by	ADP
cana-5926	14	26	sankaran	sankaran	NOUN
cana-5926	14	27	(	(	PUNCT
cana-5926	14	28	1970	1970	NUM
cana-5926	14	29	)	)	PUNCT
cana-5926	14	30	.	.	PUNCT
cana-5926	15	1	asgharzadeh	asgharzadeh	NOUN
cana-5926	15	2	and	and	CCONJ
cana-5926	15	3	bakar	bakar	NOUN
cana-5926	15	4	(	(	PUNCT
cana-5926	15	5	2013	2013	NUM
cana-5926	15	6	)	)	PUNCT
cana-5926	15	7	,	,	PUNCT
cana-5926	15	8	along	along	ADP
cana-5926	15	9	with	with	ADP
cana-5926	15	10	ghitany	ghitany	NOUN
cana-5926	15	11	et	et	PROPN
cana-5926	15	12	al	al	PROPN
cana-5926	15	13	.	.	PROPN
cana-5926	15	14	(	(	PUNCT
cana-5926	15	15	2008a	2008a	NUM
cana-5926	15	16	,	,	PUNCT
cana-5926	15	17	2008b	2008b	NUM
cana-5926	15	18	)	)	PUNCT
cana-5926	15	19	,	,	PUNCT
cana-5926	15	20	explored	explore	VERB
cana-5926	15	21	modifications	modification	NOUN
cana-5926	15	22	and	and	CCONJ
cana-5926	15	23	applications	application	NOUN
cana-5926	15	24	of	of	ADP
cana-5926	15	25	the	the	DET
cana-5926	15	26	lindley	lindley	NOUN
cana-5926	15	27	distribution	distribution	NOUN
cana-5926	15	28	.	.	PUNCT
cana-5926	16	1	zeghdoudi	zeghdoudi	NOUN
cana-5926	16	2	and	and	CCONJ
cana-5926	16	3	mailto:abderrahmanebensid4@gmail.com	mailto:abderrahmanebensid4@gmail.com	PROPN
cana-5926	16	4	mailto:naim.boudjelida@univ-annaba.dz	mailto:naim.boudjelida@univ-annaba.dz	PROPN
cana-5926	16	5	communications	communication	NOUN
cana-5926	16	6	on	on	ADP
cana-5926	16	7	applied	apply	VERB
cana-5926	16	8	nonlinear	nonlinear	ADJ
cana-5926	16	9	analysis	analysis	NOUN
cana-5926	16	10	issn	issn	NOUN
cana-5926	16	11	:	:	PUNCT
cana-5926	16	12	1074	1074	NUM
cana-5926	16	13	-	-	PUNCT
cana-5926	16	14	133x	133x	NUM
cana-5926	16	15	vol	vol	VERB
cana-5926	16	16	32	32	NUM
cana-5926	16	17	no	no	NOUN
cana-5926	16	18	.	.	PUNCT
cana-5926	17	1	10s	10	NOUN
cana-5926	17	2	(	(	PUNCT
cana-5926	17	3	2025	2025	NUM
cana-5926	17	4	)	)	PUNCT
cana-5926	17	5	3052	3052	NUM
cana-5926	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	17	7	colleagues	colleague	NOUN
cana-5926	17	8	proposed	propose	VERB
cana-5926	17	9	the	the	DET
cana-5926	17	10	gamma	gamma	NOUN
cana-5926	17	11	-	-	PUNCT
cana-5926	17	12	lindley	lindley	NOUN
cana-5926	17	13	distribution	distribution	NOUN
cana-5926	17	14	and	and	CCONJ
cana-5926	17	15	investigated	investigate	VERB
cana-5926	17	16	its	its	PRON
cana-5926	17	17	properties	property	NOUN
cana-5926	17	18	and	and	CCONJ
cana-5926	17	19	applications	application	NOUN
cana-5926	17	20	(	(	PUNCT
cana-5926	17	21	zeghdoudi	zeghdoudi	NOUN
cana-5926	17	22	&	&	CCONJ
cana-5926	17	23	nedjar	nedjar	PROPN
cana-5926	17	24	,	,	PUNCT
cana-5926	17	25	2016a	2016a	NUM
cana-5926	17	26	;	;	PUNCT
cana-5926	17	27	nedjar	nedjar	NOUN
cana-5926	17	28	&	&	CCONJ
cana-5926	17	29	zeghdoudi	zeghdoudi	PROPN
cana-5926	17	30	,	,	PUNCT
cana-5926	17	31	2016	2016	NUM
cana-5926	17	32	)	)	PUNCT
cana-5926	17	33	.	.	PUNCT
cana-5926	18	1	in	in	ADP
cana-5926	18	2	this	this	DET
cana-5926	18	3	context	context	NOUN
cana-5926	18	4	,	,	PUNCT
cana-5926	18	5	we	we	PRON
cana-5926	18	6	introduce	introduce	VERB
cana-5926	18	7	the	the	DET
cana-5926	18	8	zb	zb	NOUN
cana-5926	18	9	distribution	distribution	NOUN
cana-5926	18	10	(	(	PUNCT
cana-5926	18	11	zbd	zbd	PROPN
cana-5926	18	12	)	)	PUNCT
cana-5926	18	13	,	,	PUNCT
cana-5926	18	14	a	a	DET
cana-5926	18	15	new	new	ADJ
cana-5926	18	16	univariate	univariate	ADJ
cana-5926	18	17	distribution	distribution	NOUN
cana-5926	18	18	defined	define	VERB
cana-5926	18	19	as	as	ADP
cana-5926	18	20	a	a	DET
cana-5926	18	21	weighted	weighted	ADJ
cana-5926	18	22	mixture	mixture	NOUN
cana-5926	18	23	of	of	ADP
cana-5926	18	24	two	two	NUM
cana-5926	18	25	classical	classical	ADJ
cana-5926	18	26	components	component	NOUN
cana-5926	18	27	:	:	PUNCT
cana-5926	18	28	the	the	DET
cana-5926	18	29	exponential	exponential	ADJ
cana-5926	18	30	distribution	distribution	NOUN
cana-5926	18	31	exp(1	exp(1	NOUN
cana-5926	18	32	)	)	PUNCT
cana-5926	18	33	and	and	CCONJ
cana-5926	18	34	the	the	DET
cana-5926	18	35	gamma	gamma	NOUN
cana-5926	18	36	distribution	distribution	NOUN
cana-5926	18	37	gamma(2,1	gamma(2,1	NOUN
cana-5926	18	38	)	)	PUNCT
cana-5926	18	39	.	.	PUNCT
cana-5926	19	1	mixture	mixture	NOUN
cana-5926	19	2	distributions	distribution	NOUN
cana-5926	19	3	have	have	AUX
cana-5926	19	4	been	be	AUX
cana-5926	19	5	widely	widely	ADV
cana-5926	19	6	adopted	adopt	VERB
cana-5926	19	7	in	in	ADP
cana-5926	19	8	modern	modern	ADJ
cana-5926	19	9	statistics	statistic	NOUN
cana-5926	19	10	due	due	ADP
cana-5926	19	11	to	to	ADP
cana-5926	19	12	their	their	PRON
cana-5926	19	13	ability	ability	NOUN
cana-5926	19	14	to	to	PART
cana-5926	19	15	model	model	VERB
cana-5926	19	16	heterogeneity	heterogeneity	NOUN
cana-5926	19	17	,	,	PUNCT
cana-5926	19	18	skewness	skewness	NOUN
cana-5926	19	19	,	,	PUNCT
cana-5926	19	20	and	and	CCONJ
cana-5926	19	21	heavy	heavy	ADJ
cana-5926	19	22	-	-	PUNCT
cana-5926	19	23	tailed	tail	VERB
cana-5926	19	24	behaviors	behavior	NOUN
cana-5926	19	25	(	(	PUNCT
cana-5926	19	26	benatallah	benatallah	PROPN
cana-5926	19	27	et	et	PROPN
cana-5926	19	28	al	al	PROPN
cana-5926	19	29	.	.	PROPN
cana-5926	19	30	,	,	PUNCT
cana-5926	19	31	2025	2025	NUM
cana-5926	19	32	;	;	PUNCT
cana-5926	19	33	gupta	gupta	PROPN
cana-5926	19	34	&	&	CCONJ
cana-5926	19	35	kundu	kundu	NOUN
cana-5926	19	36	,	,	PUNCT
cana-5926	19	37	2014	2014	NUM
cana-5926	19	38	)	)	PUNCT
cana-5926	19	39	.	.	PUNCT
cana-5926	20	1	the	the	DET
cana-5926	20	2	zb	zb	PROPN
cana-5926	20	3	distribution	distribution	NOUN
cana-5926	20	4	inherits	inherit	VERB
cana-5926	20	5	the	the	DET
cana-5926	20	6	exponential	exponential	NOUN
cana-5926	20	7	’s	’s	PART
cana-5926	20	8	memoryless	memoryless	NOUN
cana-5926	20	9	property	property	NOUN
cana-5926	20	10	for	for	ADP
cana-5926	20	11	small	small	ADJ
cana-5926	20	12	values	value	NOUN
cana-5926	20	13	and	and	CCONJ
cana-5926	20	14	the	the	DET
cana-5926	20	15	gamma	gamma	NOUN
cana-5926	20	16	’s	’s	PART
cana-5926	20	17	flexible	flexible	ADJ
cana-5926	20	18	shape	shape	NOUN
cana-5926	20	19	for	for	ADP
cana-5926	20	20	modeling	model	VERB
cana-5926	20	21	over	over	ADV
cana-5926	20	22	-	-	PUNCT
cana-5926	20	23	dispersed	disperse	VERB
cana-5926	20	24	or	or	CCONJ
cana-5926	20	25	extreme	extreme	ADJ
cana-5926	20	26	data	datum	NOUN
cana-5926	20	27	.	.	PUNCT
cana-5926	21	1	its	its	PRON
cana-5926	21	2	single	single	ADJ
cana-5926	21	3	shape	shape	NOUN
cana-5926	21	4	parameter	parameter	NOUN
cana-5926	21	5	𝜃>0	𝜃>0	NOUN
cana-5926	21	6	governs	govern	VERB
cana-5926	21	7	the	the	DET
cana-5926	21	8	mixing	mix	VERB
cana-5926	21	9	proportion	proportion	NOUN
cana-5926	21	10	,	,	PUNCT
cana-5926	21	11	offering	offer	VERB
cana-5926	21	12	a	a	DET
cana-5926	21	13	simple	simple	ADJ
cana-5926	21	14	yet	yet	CCONJ
cana-5926	21	15	powerful	powerful	ADJ
cana-5926	21	16	means	mean	NOUN
cana-5926	21	17	of	of	ADP
cana-5926	21	18	interpolation	interpolation	NOUN
cana-5926	21	19	between	between	ADP
cana-5926	21	20	light	light	NOUN
cana-5926	21	21	-	-	PUNCT
cana-5926	21	22	tailed	tail	VERB
cana-5926	21	23	and	and	CCONJ
cana-5926	21	24	heavy	heavy	ADJ
cana-5926	21	25	-	-	PUNCT
cana-5926	21	26	tailed	tail	VERB
cana-5926	21	27	behavior	behavior	NOUN
cana-5926	21	28	.	.	PUNCT
cana-5926	22	1	to	to	PART
cana-5926	22	2	accommodate	accommodate	VERB
cana-5926	22	3	epistemic	epistemic	ADJ
cana-5926	22	4	uncertainty	uncertainty	NOUN
cana-5926	22	5	within	within	ADP
cana-5926	22	6	zb	zb	NOUN
cana-5926	22	7	-	-	PUNCT
cana-5926	22	8	modeled	model	VERB
cana-5926	22	9	systems	system	NOUN
cana-5926	22	10	,	,	PUNCT
cana-5926	22	11	we	we	PRON
cana-5926	22	12	integrate	integrate	VERB
cana-5926	22	13	the	the	DET
cana-5926	22	14	distribution	distribution	NOUN
cana-5926	22	15	into	into	ADP
cana-5926	22	16	a	a	DET
cana-5926	22	17	neutrosophic	neutrosophic	ADJ
cana-5926	22	18	framework	framework	NOUN
cana-5926	22	19	.	.	PUNCT
cana-5926	23	1	neutrosophic	neutrosophic	ADJ
cana-5926	23	2	logic	logic	NOUN
cana-5926	23	3	,	,	PUNCT
cana-5926	23	4	proposed	propose	VERB
cana-5926	23	5	by	by	ADP
cana-5926	23	6	smarandache	smarandache	NOUN
cana-5926	23	7	(	(	PUNCT
cana-5926	23	8	2005	2005	NUM
cana-5926	23	9	)	)	PUNCT
cana-5926	23	10	,	,	PUNCT
cana-5926	23	11	characterizes	characterize	VERB
cana-5926	23	12	each	each	DET
cana-5926	23	13	observation	observation	NOUN
cana-5926	23	14	through	through	ADP
cana-5926	23	15	three	three	NUM
cana-5926	23	16	independent	independent	ADJ
cana-5926	23	17	measures	measure	NOUN
cana-5926	23	18	:	:	PUNCT
cana-5926	23	19	truth	truth	NOUN
cana-5926	23	20	(	(	PUNCT
cana-5926	23	21	t	t	NOUN
cana-5926	23	22	)	)	PUNCT
cana-5926	23	23	,	,	PUNCT
cana-5926	23	24	indeterminacy	indeterminacy	NOUN
cana-5926	23	25	(	(	PUNCT
cana-5926	23	26	i	i	NOUN
cana-5926	23	27	)	)	PUNCT
cana-5926	23	28	,	,	PUNCT
cana-5926	23	29	and	and	CCONJ
cana-5926	23	30	falsity	falsity	NOUN
cana-5926	23	31	(	(	PUNCT
cana-5926	23	32	f	f	NOUN
cana-5926	23	33	)	)	PUNCT
cana-5926	23	34	.	.	PUNCT
cana-5926	24	1	when	when	SCONJ
cana-5926	24	2	combined	combine	VERB
cana-5926	24	3	with	with	ADP
cana-5926	24	4	liu	liu	PROPN
cana-5926	24	5	’s	’s	PART
cana-5926	24	6	(	(	PUNCT
cana-5926	24	7	2004	2004	NUM
cana-5926	24	8	)	)	PUNCT
cana-5926	24	9	credibility	credibility	NOUN
cana-5926	24	10	theory	theory	NOUN
cana-5926	24	11	,	,	PUNCT
cana-5926	24	12	this	this	PRON
cana-5926	24	13	enables	enable	VERB
cana-5926	24	14	the	the	DET
cana-5926	24	15	construction	construction	NOUN
cana-5926	24	16	of	of	ADP
cana-5926	24	17	neutrosophic	neutrosophic	ADJ
cana-5926	24	18	credibility	credibility	NOUN
cana-5926	24	19	bounds	bound	VERB
cana-5926	24	20	(	(	PUNCT
cana-5926	24	21	ncbs)—interval	ncbs)—interval	NOUN
cana-5926	24	22	estimates	estimate	VERB
cana-5926	24	23	that	that	PRON
cana-5926	24	24	provide	provide	VERB
cana-5926	24	25	robust	robust	ADJ
cana-5926	24	26	decision	decision	NOUN
cana-5926	24	27	support	support	NOUN
cana-5926	24	28	even	even	ADV
cana-5926	24	29	in	in	ADP
cana-5926	24	30	the	the	DET
cana-5926	24	31	presence	presence	NOUN
cana-5926	24	32	of	of	ADP
cana-5926	24	33	vague	vague	ADJ
cana-5926	24	34	or	or	CCONJ
cana-5926	24	35	contradictory	contradictory	ADJ
cana-5926	24	36	information	information	NOUN
cana-5926	24	37	.	.	PUNCT
cana-5926	25	1	main	main	ADJ
cana-5926	25	2	contributions	contribution	NOUN
cana-5926	25	3	of	of	ADP
cana-5926	25	4	this	this	DET
cana-5926	25	5	paper	paper	NOUN
cana-5926	25	6	•	•	NOUN
cana-5926	25	7	we	we	PRON
cana-5926	25	8	introduce	introduce	VERB
cana-5926	25	9	the	the	DET
cana-5926	25	10	zb	zb	NOUN
cana-5926	25	11	distribution	distribution	NOUN
cana-5926	25	12	as	as	ADP
cana-5926	25	13	a	a	DET
cana-5926	25	14	mixture	mixture	NOUN
cana-5926	25	15	of	of	ADP
cana-5926	25	16	exponential	exponential	ADJ
cana-5926	25	17	and	and	CCONJ
cana-5926	25	18	gamma	gamma	NOUN
cana-5926	25	19	densities	density	NOUN
cana-5926	25	20	and	and	CCONJ
cana-5926	25	21	derive	derive	VERB
cana-5926	25	22	its	its	PRON
cana-5926	25	23	analytical	analytical	ADJ
cana-5926	25	24	properties	property	NOUN
cana-5926	25	25	,	,	PUNCT
cana-5926	25	26	including	include	VERB
cana-5926	25	27	the	the	DET
cana-5926	25	28	pdf	pdf	NOUN
cana-5926	25	29	,	,	PUNCT
cana-5926	25	30	cdf	cdf	PROPN
cana-5926	25	31	,	,	PUNCT
cana-5926	25	32	survival	survival	NOUN
cana-5926	25	33	function	function	NOUN
cana-5926	25	34	,	,	PUNCT
cana-5926	25	35	and	and	CCONJ
cana-5926	25	36	hazard	hazard	NOUN
cana-5926	25	37	rate	rate	NOUN
cana-5926	25	38	.	.	PUNCT
cana-5926	26	1	•	•	NOUN
cana-5926	26	2	we	we	PRON
cana-5926	26	3	develop	develop	VERB
cana-5926	26	4	neutrosophic	neutrosophic	ADJ
cana-5926	26	5	membership	membership	NOUN
cana-5926	26	6	functions	function	NOUN
cana-5926	26	7	for	for	ADP
cana-5926	26	8	observations	observation	NOUN
cana-5926	26	9	under	under	ADP
cana-5926	26	10	the	the	DET
cana-5926	26	11	zb	zb	NOUN
cana-5926	26	12	distribution	distribution	NOUN
cana-5926	26	13	,	,	PUNCT
cana-5926	26	14	incorporating	incorporate	VERB
cana-5926	26	15	truth	truth	NOUN
cana-5926	26	16	,	,	PUNCT
cana-5926	26	17	indeterminacy	indeterminacy	NOUN
cana-5926	26	18	,	,	PUNCT
cana-5926	26	19	and	and	CCONJ
cana-5926	26	20	falsity	falsity	NOUN
cana-5926	26	21	using	use	VERB
cana-5926	26	22	a	a	DET
cana-5926	26	23	standardized	standardized	ADJ
cana-5926	26	24	functional	functional	ADJ
cana-5926	26	25	form	form	NOUN
cana-5926	26	26	.	.	PUNCT
cana-5926	27	1	•	•	INTJ
cana-5926	27	2	we	we	PRON
cana-5926	27	3	define	define	VERB
cana-5926	27	4	and	and	CCONJ
cana-5926	27	5	construct	construct	VERB
cana-5926	27	6	neutrosophic	neutrosophic	ADJ
cana-5926	27	7	credibility	credibility	NOUN
cana-5926	27	8	bounds	bound	NOUN
cana-5926	27	9	(	(	PUNCT
cana-5926	27	10	ncbs	ncbs	NOUN
cana-5926	27	11	)	)	PUNCT
cana-5926	27	12	,	,	PUNCT
cana-5926	27	13	which	which	PRON
cana-5926	27	14	generalize	generalize	VERB
cana-5926	27	15	classical	classical	ADJ
cana-5926	27	16	confidence	confidence	NOUN
cana-5926	27	17	intervals	interval	NOUN
cana-5926	27	18	using	use	VERB
cana-5926	27	19	credibility	credibility	NOUN
cana-5926	27	20	theory	theory	NOUN
cana-5926	27	21	under	under	ADP
cana-5926	27	22	neutrosophic	neutrosophic	ADJ
cana-5926	27	23	uncertainty	uncertainty	NOUN
cana-5926	27	24	.	.	PUNCT
cana-5926	28	1	•	•	INTJ
cana-5926	28	2	we	we	PRON
cana-5926	28	3	conduct	conduct	VERB
cana-5926	28	4	a	a	DET
cana-5926	28	5	simulation	simulation	NOUN
cana-5926	28	6	study	study	NOUN
cana-5926	28	7	to	to	PART
cana-5926	28	8	investigate	investigate	VERB
cana-5926	28	9	how	how	SCONJ
cana-5926	28	10	the	the	DET
cana-5926	28	11	shape	shape	NOUN
cana-5926	28	12	parameter	parameter	NOUN
cana-5926	28	13	𝜃	𝜃	PROPN
cana-5926	28	14	,	,	PUNCT
cana-5926	28	15	credibility	credibility	NOUN
cana-5926	28	16	level	level	NOUN
cana-5926	28	17	𝛾	𝛾	NOUN
cana-5926	28	18	,	,	PUNCT
cana-5926	28	19	and	and	CCONJ
cana-5926	28	20	neutrosophic	neutrosophic	ADJ
cana-5926	28	21	thresholds	threshold	NOUN
cana-5926	28	22	influence	influence	VERB
cana-5926	28	23	the	the	DET
cana-5926	28	24	position	position	NOUN
cana-5926	28	25	and	and	CCONJ
cana-5926	28	26	width	width	NOUN
cana-5926	28	27	of	of	ADP
cana-5926	28	28	the	the	DET
cana-5926	28	29	bounds	bound	NOUN
cana-5926	28	30	.	.	PUNCT
cana-5926	29	1	•	•	INTJ
cana-5926	29	2	we	we	PRON
cana-5926	29	3	illustrate	illustrate	VERB
cana-5926	29	4	practical	practical	ADJ
cana-5926	29	5	applications	application	NOUN
cana-5926	29	6	in	in	ADP
cana-5926	29	7	finance	finance	NOUN
cana-5926	29	8	and	and	CCONJ
cana-5926	29	9	insurance	insurance	NOUN
cana-5926	29	10	,	,	PUNCT
cana-5926	29	11	where	where	SCONJ
cana-5926	29	12	data	datum	NOUN
cana-5926	29	13	incompleteness	incompleteness	NOUN
cana-5926	29	14	and	and	CCONJ
cana-5926	29	15	expert	expert	NOUN
cana-5926	29	16	disagreement	disagreement	NOUN
cana-5926	29	17	are	be	AUX
cana-5926	29	18	common	common	ADJ
cana-5926	29	19	,	,	PUNCT
cana-5926	29	20	and	and	CCONJ
cana-5926	29	21	robust	robust	ADJ
cana-5926	29	22	inference	inference	NOUN
cana-5926	29	23	is	be	AUX
cana-5926	29	24	essential	essential	ADJ
cana-5926	29	25	.	.	PUNCT
cana-5926	30	1	this	this	DET
cana-5926	30	2	work	work	NOUN
cana-5926	30	3	contributes	contribute	VERB
cana-5926	30	4	to	to	ADP
cana-5926	30	5	the	the	DET
cana-5926	30	6	growing	grow	VERB
cana-5926	30	7	literature	literature	NOUN
cana-5926	30	8	on	on	ADP
cana-5926	30	9	generalized	generalized	ADJ
cana-5926	30	10	exponential	exponential	ADJ
cana-5926	30	11	-	-	PUNCT
cana-5926	30	12	type	type	NOUN
cana-5926	30	13	distributions	distribution	NOUN
cana-5926	30	14	(	(	PUNCT
cana-5926	30	15	gupta	gupta	PROPN
cana-5926	30	16	&	&	CCONJ
cana-5926	30	17	kundu	kundu	NOUN
cana-5926	30	18	,	,	PUNCT
cana-5926	30	19	2014	2014	NUM
cana-5926	30	20	;	;	PUNCT
cana-5926	30	21	benatallah	benatallah	PROPN
cana-5926	30	22	et	et	PROPN
cana-5926	30	23	al	al	PROPN
cana-5926	30	24	.	.	PROPN
cana-5926	30	25	,	,	PUNCT
cana-5926	30	26	2025	2025	NUM
cana-5926	30	27	)	)	PUNCT
cana-5926	30	28	,	,	PUNCT
cana-5926	30	29	while	while	SCONJ
cana-5926	30	30	extending	extend	VERB
cana-5926	30	31	their	their	PRON
cana-5926	30	32	applicability	applicability	NOUN
cana-5926	30	33	through	through	ADP
cana-5926	30	34	the	the	DET
cana-5926	30	35	lens	lens	NOUN
cana-5926	30	36	of	of	ADP
cana-5926	30	37	neutrosophic	neutrosophic	ADJ
cana-5926	30	38	and	and	CCONJ
cana-5926	30	39	credibility	credibility	NOUN
cana-5926	30	40	-	-	PUNCT
cana-5926	30	41	based	base	VERB
cana-5926	30	42	inference	inference	NOUN
cana-5926	30	43	.	.	PUNCT
cana-5926	31	1	the	the	DET
cana-5926	31	2	proposed	propose	VERB
cana-5926	31	3	zb	zb	PROPN
cana-5926	31	4	–	–	PUNCT
cana-5926	31	5	neutrosophic	neutrosophic	ADJ
cana-5926	31	6	framework	framework	NOUN
cana-5926	31	7	is	be	AUX
cana-5926	31	8	particularly	particularly	ADV
cana-5926	31	9	relevant	relevant	ADJ
cana-5926	31	10	for	for	ADP
cana-5926	31	11	decision	decision	NOUN
cana-5926	31	12	-	-	PUNCT
cana-5926	31	13	making	making	NOUN
cana-5926	31	14	in	in	ADP
cana-5926	31	15	domains	domain	NOUN
cana-5926	31	16	such	such	ADJ
cana-5926	31	17	as	as	ADP
cana-5926	31	18	actuarial	actuarial	ADJ
cana-5926	31	19	science	science	NOUN
cana-5926	31	20	,	,	PUNCT
cana-5926	31	21	credit	credit	NOUN
cana-5926	31	22	risk	risk	NOUN
cana-5926	31	23	modeling	modeling	NOUN
cana-5926	31	24	,	,	PUNCT
cana-5926	31	25	and	and	CCONJ
cana-5926	31	26	reliability	reliability	NOUN
cana-5926	31	27	engineering	engineering	NOUN
cana-5926	31	28	,	,	PUNCT
cana-5926	31	29	where	where	SCONJ
cana-5926	31	30	precise	precise	ADJ
cana-5926	31	31	probabilistic	probabilistic	ADJ
cana-5926	31	32	assumptions	assumption	NOUN
cana-5926	31	33	are	be	AUX
cana-5926	31	34	often	often	ADV
cana-5926	31	35	unrealistic	unrealistic	ADJ
cana-5926	31	36	or	or	CCONJ
cana-5926	31	37	insufficient	insufficient	ADJ
cana-5926	31	38	.	.	PUNCT
cana-5926	32	1	properties	property	NOUN
cana-5926	32	2	of	of	ADP
cana-5926	32	3	neutrosophic	neutrosophic	ADJ
cana-5926	32	4	credibility	credibility	NOUN
cana-5926	32	5	bounds	bound	VERB
cana-5926	32	6	using	use	VERB
cana-5926	32	7	zb	zb	NOUN
cana-5926	32	8	distribution	distribution	NOUN
cana-5926	32	9	this	this	DET
cana-5926	32	10	section	section	NOUN
cana-5926	32	11	presents	present	VERB
cana-5926	32	12	both	both	CCONJ
cana-5926	32	13	the	the	DET
cana-5926	32	14	theoretical	theoretical	ADJ
cana-5926	32	15	construction	construction	NOUN
cana-5926	32	16	and	and	CCONJ
cana-5926	32	17	neutrosophic	neutrosophic	ADJ
cana-5926	32	18	properties	property	NOUN
cana-5926	32	19	of	of	ADP
cana-5926	32	20	the	the	DET
cana-5926	32	21	zb	zb	NOUN
cana-5926	32	22	distribution	distribution	NOUN
cana-5926	32	23	(	(	PUNCT
cana-5926	32	24	zbd	zbd	PROPN
cana-5926	32	25	)	)	PUNCT
cana-5926	32	26	,	,	PUNCT
cana-5926	32	27	which	which	PRON
cana-5926	32	28	is	be	AUX
cana-5926	32	29	defined	define	VERB
cana-5926	32	30	as	as	ADP
cana-5926	32	31	a	a	DET
cana-5926	32	32	mixture	mixture	NOUN
cana-5926	32	33	of	of	ADP
cana-5926	32	34	two	two	NUM
cana-5926	32	35	classical	classical	ADJ
cana-5926	32	36	distributions	distribution	NOUN
cana-5926	32	37	.	.	PUNCT
cana-5926	33	1	communications	communication	NOUN
cana-5926	33	2	on	on	ADP
cana-5926	33	3	applied	apply	VERB
cana-5926	33	4	nonlinear	nonlinear	ADJ
cana-5926	33	5	analysis	analysis	NOUN
cana-5926	33	6	issn	issn	NOUN
cana-5926	33	7	:	:	PUNCT
cana-5926	33	8	1074	1074	NUM
cana-5926	33	9	-	-	PUNCT
cana-5926	33	10	133x	133x	NUM
cana-5926	33	11	vol	vol	VERB
cana-5926	33	12	32	32	NUM
cana-5926	33	13	no	no	NOUN
cana-5926	33	14	.	.	PUNCT
cana-5926	34	1	10s	10	NOUN
cana-5926	34	2	(	(	PUNCT
cana-5926	34	3	2025	2025	NUM
cana-5926	34	4	)	)	PUNCT
cana-5926	34	5	3053	3053	NUM
cana-5926	34	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	34	7	definitionofzbdistributionasamixturemodel	definitionofzbdistributionasamixturemodel	NOUN
cana-5926	34	8	in	in	ADP
cana-5926	34	9	this	this	DET
cana-5926	34	10	formulation	formulation	NOUN
cana-5926	34	11	,	,	PUNCT
cana-5926	34	12	a	a	DET
cana-5926	34	13	mixture	mixture	NOUN
cana-5926	34	14	of	of	ADP
cana-5926	34	15	two	two	NUM
cana-5926	34	16	well	well	ADV
cana-5926	34	17	-	-	PUNCT
cana-5926	34	18	known	know	VERB
cana-5926	34	19	distributions	distribution	NOUN
cana-5926	34	20	is	be	AUX
cana-5926	34	21	used	use	VERB
cana-5926	34	22	to	to	PART
cana-5926	34	23	define	define	VERB
cana-5926	34	24	a	a	DET
cana-5926	34	25	newprobability	newprobability	NOUN
cana-5926	34	26	distribution	distribution	NOUN
cana-5926	34	27	called	call	VERB
cana-5926	34	28	the	the	DET
cana-5926	34	29	zb	zb	NOUN
cana-5926	34	30	distribution	distribution	NOUN
cana-5926	34	31	(	(	PUNCT
cana-5926	34	32	zbd	zbd	NOUN
cana-5926	34	33	)	)	PUNCT
cana-5926	34	34	.	.	PUNCT
cana-5926	35	1	let	let	VERB
cana-5926	35	2	𝑋be	𝑋be	PROPN
cana-5926	35	3	a	a	DET
cana-5926	35	4	random	random	ADJ
cana-5926	35	5	variable	variable	NOUN
cana-5926	35	6	with	with	ADP
cana-5926	35	7	the	the	DET
cana-5926	35	8	following	follow	VERB
cana-5926	35	9	mixture	mixture	NOUN
cana-5926	35	10	probability	probability	NOUN
cana-5926	35	11	density	density	NOUN
cana-5926	35	12	function(pdf	function(pdf	NOUN
cana-5926	35	13	):	):	PUNCT
cana-5926	35	14	𝑓(𝑥	𝑓(𝑥	NOUN
cana-5926	35	15	)	)	PUNCT
cana-5926	35	16	=	=	SYM
cana-5926	36	1	𝑝1𝑓1(𝑥	𝑝1𝑓1(𝑥	NOUN
cana-5926	36	2	)	)	PUNCT
cana-5926	36	3	+	+	CCONJ
cana-5926	36	4	𝑝2𝑓2(𝑥	𝑝2𝑓2(𝑥	X
cana-5926	36	5	)	)	PUNCT
cana-5926	36	6	where𝑓𝑖(𝑥)is	where𝑓𝑖(𝑥)is	NUM
cana-5926	36	7	the	the	DET
cana-5926	36	8	probability	probability	NOUN
cana-5926	36	9	density	density	NOUN
cana-5926	36	10	functionofthei	functionofthei	NOUN
cana-5926	36	11	-	-	PUNCT
cana-5926	36	12	thcomponent	thcomponent	NOUN
cana-5926	36	13	,	,	PUNCT
cana-5926	36	14	and	and	CCONJ
cana-5926	36	15	𝑝𝑖	𝑝𝑖	X
cana-5926	36	16	≥	≥	X
cana-5926	36	17	0	0	NUM
cana-5926	36	18	are	be	AUX
cana-5926	36	19	the	the	DET
cana-5926	36	20	mixing	mix	VERB
cana-5926	36	21	proportions	proportion	NOUN
cana-5926	36	22	such	such	ADJ
cana-5926	36	23	that	that	PRON
cana-5926	36	24	:	:	PUNCT
cana-5926	36	25	∑	∑	PUNCT
cana-5926	36	26	𝑝𝑖	𝑝𝑖	VERB
cana-5926	36	27	𝑘	𝑘	X
cana-5926	36	28	𝑖=1	𝑖=1	PUNCT
cana-5926	36	29	=	=	SYM
cana-5926	36	30	1	1	NUM
cana-5926	36	31	in	in	ADP
cana-5926	36	32	the	the	DET
cana-5926	36	33	case	case	NOUN
cana-5926	36	34	of	of	ADP
cana-5926	36	35	the	the	DET
cana-5926	36	36	zb	zb	NOUN
cana-5926	36	37	distribution	distribution	NOUN
cana-5926	36	38	,	,	PUNCT
cana-5926	36	39	we	we	PRON
cana-5926	36	40	consider	consider	VERB
cana-5926	36	41	:	:	PUNCT
cana-5926	36	42	𝑓1(𝑥	𝑓1(𝑥	NOUN
cana-5926	36	43	)	)	PUNCT
cana-5926	36	44	∼	∼	NOUN
cana-5926	36	45	𝐸𝑥𝑝(1	𝐸𝑥𝑝(1	NOUN
cana-5926	36	46	)	)	PUNCT
cana-5926	36	47	,	,	PUNCT
cana-5926	36	48	𝑓2(𝑥	𝑓2(𝑥	X
cana-5926	36	49	)	)	PUNCT
cana-5926	36	50	∼	∼	NOUN
cana-5926	36	51	𝐺𝑎𝑚𝑚𝑎(2,1	𝐺𝑎𝑚𝑚𝑎(2,1	NUM
cana-5926	36	52	)	)	PUNCT
cana-5926	36	53	with	with	ADP
cana-5926	36	54	corresponding	correspond	VERB
cana-5926	36	55	mixing	mix	VERB
cana-5926	36	56	proportions	proportion	NOUN
cana-5926	36	57	:	:	PUNCT
cana-5926	36	58	𝑝1	𝑝1	NOUN
cana-5926	36	59	=	=	NOUN
cana-5926	36	60	1	1	NUM
cana-5926	36	61	1	1	NUM
cana-5926	36	62	+	+	NUM
cana-5926	36	63	𝜃	𝜃	NOUN
cana-5926	36	64	,	,	PUNCT
cana-5926	36	65	𝑝2	𝑝2	NOUN
cana-5926	36	66	=	=	SYM
cana-5926	36	67	𝜃	𝜃	PROPN
cana-5926	36	68	1	1	NUM
cana-5926	36	69	+	+	NUM
cana-5926	36	70	𝜃	𝜃	NOUN
cana-5926	36	71	.	.	PUNCT
cana-5926	37	1	the	the	DET
cana-5926	37	2	resulting	result	VERB
cana-5926	37	3	pdf	pdf	NOUN
cana-5926	37	4	of	of	ADP
cana-5926	37	5	the	the	DET
cana-5926	37	6	zb	zb	NOUN
cana-5926	37	7	distribution	distribution	NOUN
cana-5926	37	8	becomes	become	VERB
cana-5926	37	9	:	:	PUNCT
cana-5926	37	10	(	(	PUNCT
cana-5926	37	11	)	)	PUNCT
cana-5926	37	12	(	(	PUNCT
cana-5926	37	13	)	)	PUNCT
cana-5926	37	14	1	1	NUM
cana-5926	37	15	1	1	NUM
cana-5926	37	16	,	,	PUNCT
cana-5926	37	17	>	>	X
cana-5926	37	18	0	0	NUM
cana-5926	37	19	;	;	PUNCT
cana-5926	37	20	1	1	NUM
cana-5926	37	21	0	0	NUM
cana-5926	37	22	,	,	PUNCT
cana-5926	37	23	otherwise	otherwise	ADV
cana-5926	37	24	x	x	X
cana-5926	37	25	zb	zb	NOUN
cana-5926	37	26	x	x	PART
cana-5926	37	27	e	e	NOUN
cana-5926	37	28	x	x	X
cana-5926	37	29	f	f	NOUN
cana-5926	37	30	x	x	X
cana-5926	37	31			X
cana-5926	37	32			X
cana-5926	37	33			PROPN
cana-5926	37	34			PROPN
cana-5926	37	35	−	−	PROPN
cana-5926	38	1	+	+	NOUN
cana-5926	38	2			NUM
cana-5926	38	3	=	=	PUNCT
cana-5926	39	1	+	+	NOUN
cana-5926	39	2			NUM
cana-5926	39	3			NUM
cana-5926	39	4			NOUN
cana-5926	39	5	this	this	DET
cana-5926	39	6	formulation	formulation	NOUN
cana-5926	39	7	blends	blend	VERB
cana-5926	39	8	the	the	DET
cana-5926	39	9	memoryless	memoryless	NOUN
cana-5926	39	10	nature	nature	NOUN
cana-5926	39	11	of	of	ADP
cana-5926	39	12	the	the	DET
cana-5926	39	13	exponential	exponential	ADJ
cana-5926	39	14	distribution	distribution	NOUN
cana-5926	39	15	with	with	ADP
cana-5926	39	16	the	the	DET
cana-5926	39	17	heavier	heavier	ADV
cana-5926	39	18	-	-	PUNCT
cana-5926	39	19	tailed	tail	VERB
cana-5926	39	20	behavior	behavior	NOUN
cana-5926	39	21	of	of	ADP
cana-5926	39	22	the	the	DET
cana-5926	39	23	gamma	gamma	NOUN
cana-5926	39	24	distribution	distribution	NOUN
cana-5926	39	25	,	,	PUNCT
cana-5926	39	26	making	make	VERB
cana-5926	39	27	zbd	zbd	PROPN
cana-5926	39	28	a	a	DET
cana-5926	39	29	flexible	flexible	ADJ
cana-5926	39	30	candidate	candidate	NOUN
cana-5926	39	31	for	for	ADP
cana-5926	39	32	modeling	model	VERB
cana-5926	39	33	skewed	skewed	ADJ
cana-5926	39	34	or	or	CCONJ
cana-5926	39	35	heavy	heavy	ADV
cana-5926	39	36	-	-	PUNCT
cana-5926	39	37	tailed	tail	VERB
cana-5926	39	38	phenomena	phenomenon	NOUN
cana-5926	39	39	in	in	ADP
cana-5926	39	40	uncertainty	uncertainty	NOUN
cana-5926	39	41	and	and	CCONJ
cana-5926	39	42	risk	risk	NOUN
cana-5926	39	43	modeling	modeling	NOUN
cana-5926	39	44	.	.	PUNCT
cana-5926	40	1	neutrosophic	neutrosophic	ADJ
cana-5926	40	2	structure	structure	NOUN
cana-5926	40	3	let	let	AUX
cana-5926	40	4	𝑋𝑁(𝑥	𝑋𝑁(𝑥	X
cana-5926	40	5	)	)	PUNCT
cana-5926	40	6	be	be	AUX
cana-5926	40	7	a	a	DET
cana-5926	40	8	neutrosophic	neutrosophic	ADJ
cana-5926	40	9	random	random	ADJ
cana-5926	40	10	variable	variable	NOUN
cana-5926	40	11	defined	define	VERB
cana-5926	40	12	as	as	ADP
cana-5926	40	13	:	:	PUNCT
cana-5926	40	14	𝑋𝑁(𝑥	𝑋𝑁(𝑥	X
cana-5926	40	15	)	)	PUNCT
cana-5926	41	1	=	=	PRON
cana-5926	41	2	(	(	PUNCT
cana-5926	41	3	𝑇(𝑥	𝑇(𝑥	NOUN
cana-5926	41	4	)	)	PUNCT
cana-5926	41	5	,	,	PUNCT
cana-5926	41	6	𝐼(𝑥	𝐼(𝑥	PROPN
cana-5926	41	7	)	)	PUNCT
cana-5926	41	8	,	,	PUNCT
cana-5926	41	9	𝐹(𝑥	𝐹(𝑥	NUM
cana-5926	41	10	)	)	PUNCT
cana-5926	41	11	)	)	PUNCT
cana-5926	41	12	with	with	ADP
cana-5926	41	13	the	the	DET
cana-5926	41	14	following	follow	VERB
cana-5926	41	15	membership	membership	NOUN
cana-5926	41	16	function	function	NOUN
cana-5926	41	17	:	:	PUNCT
cana-5926	41	18	𝑇(𝑥	𝑇(𝑥	X
cana-5926	41	19	)	)	PUNCT
cana-5926	41	20	=	=	PUNCT
cana-5926	41	21	𝑚𝑎𝑥	𝑚𝑎𝑥	X
cana-5926	41	22	(	(	PUNCT
cana-5926	41	23	0	0	NUM
cana-5926	41	24	,	,	PUNCT
cana-5926	41	25	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-5926	41	26	(	(	PUNCT
cana-5926	41	27	1,1	1,1	NUM
cana-5926	41	28	−	−	NOUN
cana-5926	41	29	𝑥	𝑥	PRON
cana-5926	41	30	−	−	NOUN
cana-5926	41	31	𝜇	𝜇	ADP
cana-5926	41	32	𝑘𝜎	𝑘𝜎	PROPN
cana-5926	41	33	)	)	PUNCT
cana-5926	41	34	)	)	PUNCT
cana-5926	41	35	,	,	PUNCT
cana-5926	41	36	𝐼(𝑥	𝐼(𝑥	PROPN
cana-5926	41	37	)	)	PUNCT
cana-5926	41	38	=	=	SYM
cana-5926	41	39	1	1	NUM
cana-5926	41	40	−	−	NOUN
cana-5926	41	41	𝑇(𝑥)2	𝑇(𝑥)2	PROPN
cana-5926	41	42	,	,	PUNCT
cana-5926	41	43	𝐹(𝑥	𝐹(𝑥	NUM
cana-5926	41	44	)	)	PUNCT
cana-5926	41	45	=	=	SYM
cana-5926	42	1	1	1	NUM
cana-5926	42	2	−	−	NUM
cana-5926	42	3	𝑇(𝑥	𝑇(𝑥	NOUN
cana-5926	42	4	)	)	PUNCT
cana-5926	42	5	communications	communication	NOUN
cana-5926	42	6	on	on	ADP
cana-5926	42	7	applied	apply	VERB
cana-5926	42	8	nonlinear	nonlinear	ADJ
cana-5926	42	9	analysis	analysis	NOUN
cana-5926	42	10	issn	issn	NOUN
cana-5926	42	11	:	:	PUNCT
cana-5926	42	12	1074	1074	NUM
cana-5926	42	13	-	-	PUNCT
cana-5926	42	14	133x	133x	NUM
cana-5926	42	15	vol	vol	VERB
cana-5926	42	16	32	32	NUM
cana-5926	42	17	no	no	NOUN
cana-5926	42	18	.	.	PUNCT
cana-5926	43	1	10s	10	NOUN
cana-5926	43	2	(	(	PUNCT
cana-5926	43	3	2025	2025	NUM
cana-5926	43	4	)	)	PUNCT
cana-5926	43	5	3054	3054	NUM
cana-5926	43	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	43	7	here,𝜇	here,𝜇	X
cana-5926	43	8	=	=	PUNCT
cana-5926	43	9	𝐸[𝑋	𝐸[𝑋	NOUN
cana-5926	43	10	]	]	PUNCT
cana-5926	43	11	,	,	PUNCT
cana-5926	43	12	𝜎	𝜎	X
cana-5926	43	13	=	=	SYM
cana-5926	43	14	√𝑉𝑎𝑟(𝑋	√𝑉𝑎𝑟(𝑋	PROPN
cana-5926	43	15	)	)	PUNCT
cana-5926	43	16	and	and	CCONJ
cana-5926	43	17	𝑘	𝑘	X
cana-5926	43	18	>	>	X
cana-5926	43	19	0	0	PUNCT
cana-5926	43	20	is	be	AUX
cana-5926	43	21	a	a	DET
cana-5926	43	22	sensitivity	sensitivity	NOUN
cana-5926	43	23	parameter	parameter	NOUN
cana-5926	43	24	controlling	control	VERB
cana-5926	43	25	the	the	DET
cana-5926	43	26	shape	shape	NOUN
cana-5926	43	27	of	of	ADP
cana-5926	43	28	uncertainty	uncertainty	NOUN
cana-5926	43	29	quantification	quantification	NOUN
cana-5926	43	30	.	.	PUNCT
cana-5926	44	1	credibility	credibility	NOUN
cana-5926	44	2	measure	measure	NOUN
cana-5926	44	3	and	and	CCONJ
cana-5926	44	4	bound	bind	VERB
cana-5926	44	5	estimation	estimation	NOUN
cana-5926	44	6	using	use	VERB
cana-5926	44	7	credibility	credibility	NOUN
cana-5926	44	8	theory	theory	NOUN
cana-5926	44	9	,	,	PUNCT
cana-5926	44	10	we	we	PRON
cana-5926	44	11	define	define	VERB
cana-5926	44	12	bounds[𝐿𝐵𝛾	bounds[𝐿𝐵𝛾	PROPN
cana-5926	44	13	,	,	PUNCT
cana-5926	44	14	𝑈𝐵𝛾]satisfying	𝑈𝐵𝛾]satisfying	NOUN
cana-5926	44	15	:	:	PUNCT
cana-5926	44	16	𝐶𝑟(𝑇(𝑥	𝐶𝑟(𝑇(𝑥	NUM
cana-5926	44	17	)	)	PUNCT
cana-5926	44	18	≥	≥	NOUN
cana-5926	44	19	𝛼1	𝛼1	PROPN
cana-5926	44	20	)	)	PUNCT
cana-5926	44	21	≥	≥	NOUN
cana-5926	44	22	𝛾	𝛾	NOUN
cana-5926	44	23	,	,	PUNCT
cana-5926	44	24	𝐶𝑟(𝐼(𝑥	𝐶𝑟(𝐼(𝑥	NUM
cana-5926	44	25	)	)	PUNCT
cana-5926	44	26	≤	≤	NOUN
cana-5926	44	27	𝛼2	𝛼2	PROPN
cana-5926	44	28	)	)	PUNCT
cana-5926	44	29	≥	≥	NOUN
cana-5926	44	30	𝛾	𝛾	NOUN
cana-5926	44	31	,	,	PUNCT
cana-5926	44	32	𝐶𝑟(𝐹(𝑥	𝐶𝑟(𝐹(𝑥	NOUN
cana-5926	44	33	)	)	PUNCT
cana-5926	44	34	≤	≤	NUM
cana-5926	44	35	𝛼3	𝛼3	NOUN
cana-5926	44	36	)	)	PUNCT
cana-5926	44	37	≥	≥	NOUN
cana-5926	45	1	𝛾	𝛾	NOUN
cana-5926	45	2	,	,	PUNCT
cana-5926	45	3	where	where	SCONJ
cana-5926	45	4	𝛼1	𝛼1	NOUN
cana-5926	45	5	,	,	PUNCT
cana-5926	45	6	𝛼2	𝛼2	VERB
cana-5926	45	7	,	,	PUNCT
cana-5926	45	8	𝛼3	𝛼3	NOUN
cana-5926	45	9	∈	∈	PROPN
cana-5926	45	10	(	(	PUNCT
cana-5926	45	11	0	0	NUM
cana-5926	45	12	,	,	PUNCT
cana-5926	45	13	1	1	NUM
cana-5926	45	14	)	)	PUNCT
cana-5926	45	15	are	be	AUX
cana-5926	45	16	application	application	NOUN
cana-5926	45	17	-	-	PUNCT
cana-5926	45	18	dependent	dependent	ADJ
cana-5926	45	19	thresholds	threshold	NOUN
cana-5926	45	20	for	for	ADP
cana-5926	45	21	neutrosophic	neutrosophic	ADJ
cana-5926	45	22	logic	logic	NOUN
cana-5926	45	23	,	,	PUNCT
cana-5926	45	24	and	and	CCONJ
cana-5926	45	25	𝛾	𝛾	SCONJ
cana-5926	45	26	∈	∈	PROPN
cana-5926	45	27	(	(	PUNCT
cana-5926	45	28	0	0	NUM
cana-5926	45	29	,	,	PUNCT
cana-5926	45	30	1	1	NUM
cana-5926	45	31	]	]	PUNCT
cana-5926	45	32	is	be	AUX
cana-5926	45	33	the	the	DET
cana-5926	45	34	credibility	credibility	NOUN
cana-5926	45	35	level	level	NOUN
cana-5926	45	36	.	.	PUNCT
cana-5926	46	1	zb	zb	X
cana-5926	46	2	-	-	PUNCT
cana-5926	46	3	specific	specific	ADJ
cana-5926	46	4	formulas	formula	NOUN
cana-5926	46	5	the	the	DET
cana-5926	46	6	analytical	analytical	ADJ
cana-5926	46	7	properties	property	NOUN
cana-5926	46	8	of	of	ADP
cana-5926	46	9	the	the	DET
cana-5926	46	10	zb	zb	NOUN
cana-5926	46	11	distribution	distribution	NOUN
cana-5926	46	12	provide	provide	VERB
cana-5926	46	13	the	the	DET
cana-5926	46	14	foundation	foundation	NOUN
cana-5926	46	15	for	for	ADP
cana-5926	46	16	computing	compute	VERB
cana-5926	46	17	neutrosophic	neutrosophic	ADJ
cana-5926	46	18	credibility	credibility	NOUN
cana-5926	46	19	bounds	bound	VERB
cana-5926	46	20	.	.	PUNCT
cana-5926	47	1	below	below	ADV
cana-5926	47	2	are	be	AUX
cana-5926	47	3	the	the	DET
cana-5926	47	4	key	key	ADJ
cana-5926	47	5	functions	function	NOUN
cana-5926	47	6	derived	derive	VERB
cana-5926	47	7	from	from	ADP
cana-5926	47	8	its	its	PRON
cana-5926	47	9	probabilistic	probabilistic	ADJ
cana-5926	47	10	structure	structure	NOUN
cana-5926	47	11	.	.	PUNCT
cana-5926	48	1	probability	probability	NOUN
cana-5926	48	2	density	density	NOUN
cana-5926	48	3	function	function	NOUN
cana-5926	48	4	(	(	PUNCT
cana-5926	48	5	pdf	pdf	NOUN
cana-5926	48	6	):	):	PUNCT
cana-5926	48	7	𝑓𝑍𝐵(𝑥	𝑓𝑍𝐵(𝑥	PRON
cana-5926	48	8	;	;	PUNCT
cana-5926	48	9	𝜃	𝜃	X
cana-5926	48	10	)	)	PUNCT
cana-5926	48	11	=	=	SYM
cana-5926	48	12	1	1	NUM
cana-5926	48	13	1	1	NUM
cana-5926	48	14	+	+	X
cana-5926	48	15	𝜃	𝜃	SYM
cana-5926	48	16	(	(	PUNCT
cana-5926	48	17	1	1	NUM
cana-5926	48	18	+	+	CCONJ
cana-5926	48	19	𝜃𝑥)𝑒−𝑥𝑥	𝜃𝑥)𝑒−𝑥𝑥	NUM
cana-5926	48	20	,	,	PUNCT
cana-5926	48	21	𝜃	𝜃	X
cana-5926	48	22	>	>	X
cana-5926	48	23	0	0	NUM
cana-5926	48	24	,	,	PUNCT
cana-5926	48	25	𝑥	𝑥	PROPN
cana-5926	48	26	>	>	SYM
cana-5926	48	27	0	0	NUM
cana-5926	48	28	cumulative	cumulative	ADJ
cana-5926	48	29	distribution	distribution	NOUN
cana-5926	48	30	function	function	NOUN
cana-5926	48	31	(	(	PUNCT
cana-5926	48	32	cdf	cdf	PROPN
cana-5926	48	33	):	):	PUNCT
cana-5926	48	34	𝐹𝑍𝐵(𝑥	𝐹𝑍𝐵(𝑥	NUM
cana-5926	48	35	;	;	PUNCT
cana-5926	48	36	𝜃	𝜃	X
cana-5926	48	37	)	)	PUNCT
cana-5926	48	38	=	=	SYM
cana-5926	48	39	1	1	NUM
cana-5926	48	40	−	−	NOUN
cana-5926	48	41	𝜃𝑥+𝜃+1	𝜃𝑥+𝜃+1	X
cana-5926	48	42	𝜃+1	𝜃+1	X
cana-5926	48	43	𝑒−𝑥survival	𝑒−𝑥survival	SYM
cana-5926	48	44	function	function	NOUN
cana-5926	48	45	:	:	PUNCT
cana-5926	48	46	𝑆𝑍𝐵(𝑥	𝑆𝑍𝐵(𝑥	NUM
cana-5926	48	47	;	;	PUNCT
cana-5926	48	48	𝜃	𝜃	X
cana-5926	48	49	)	)	PUNCT
cana-5926	48	50	=	=	SYM
cana-5926	49	1	1	1	NUM
cana-5926	49	2	−	−	NOUN
cana-5926	49	3	𝐹𝑍𝐵(𝑥	𝐹𝑍𝐵(𝑥	NUM
cana-5926	49	4	;	;	PUNCT
cana-5926	49	5	𝜃	𝜃	X
cana-5926	49	6	)	)	PUNCT
cana-5926	49	7	=	=	SYM
cana-5926	49	8	𝜃𝑥	𝜃𝑥	ADP
cana-5926	50	1	+	+	NOUN
cana-5926	50	2	𝜃	𝜃	NUM
cana-5926	50	3	+	+	NUM
cana-5926	51	1	1	1	NUM
cana-5926	51	2	𝜃	𝜃	NUM
cana-5926	51	3	+	+	NUM
cana-5926	51	4	1	1	NUM
cana-5926	51	5	𝑒−𝑥	𝑒−𝑥	NOUN
cana-5926	51	6	hazard	hazard	NOUN
cana-5926	51	7	rate	rate	NOUN
cana-5926	51	8	function	function	NOUN
cana-5926	51	9	:	:	PUNCT
cana-5926	51	10	ℎ𝑍𝐵(𝑥	ℎ𝑍𝐵(𝑥	PROPN
cana-5926	51	11	;	;	PUNCT
cana-5926	51	12	𝜃	𝜃	X
cana-5926	51	13	)	)	PUNCT
cana-5926	51	14	=	=	SYM
cana-5926	51	15	𝑓𝑍𝐵(𝑥	𝑓𝑍𝐵(𝑥	X
cana-5926	51	16	;	;	PUNCT
cana-5926	51	17	𝜃	𝜃	X
cana-5926	51	18	)	)	PUNCT
cana-5926	51	19	𝑆𝑍𝐵(𝑥	𝑆𝑍𝐵(𝑥	PROPN
cana-5926	51	20	;	;	PUNCT
cana-5926	51	21	𝜃	𝜃	X
cana-5926	51	22	)	)	PUNCT
cana-5926	51	23	=	=	SYM
cana-5926	51	24	𝜃𝑥	𝜃𝑥	ADP
cana-5926	51	25	+	+	NOUN
cana-5926	51	26	1	1	NUM
cana-5926	51	27	𝜃𝑥	𝜃𝑥	ADP
cana-5926	51	28	+	+	NOUN
cana-5926	51	29	𝜃	𝜃	NUM
cana-5926	51	30	+	+	NUM
cana-5926	51	31	1	1	NUM
cana-5926	51	32	communications	communication	NOUN
cana-5926	51	33	on	on	ADP
cana-5926	51	34	applied	apply	VERB
cana-5926	51	35	nonlinear	nonlinear	ADJ
cana-5926	51	36	analysis	analysis	NOUN
cana-5926	51	37	issn	issn	NOUN
cana-5926	51	38	:	:	PUNCT
cana-5926	51	39	1074	1074	NUM
cana-5926	51	40	-	-	PUNCT
cana-5926	51	41	133x	133x	NUM
cana-5926	51	42	vol	vol	VERB
cana-5926	51	43	32	32	NUM
cana-5926	51	44	no	no	NOUN
cana-5926	51	45	.	.	PUNCT
cana-5926	52	1	10s	10	NOUN
cana-5926	52	2	(	(	PUNCT
cana-5926	52	3	2025	2025	NUM
cana-5926	52	4	)	)	PUNCT
cana-5926	52	5	3055	3055	NUM
cana-5926	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	52	7	these	these	DET
cana-5926	52	8	closed	closed	ADJ
cana-5926	52	9	-	-	PUNCT
cana-5926	52	10	form	form	NOUN
cana-5926	52	11	expressions	expression	NOUN
cana-5926	52	12	facilitate	facilitate	VERB
cana-5926	52	13	direct	direct	ADJ
cana-5926	52	14	computation	computation	NOUN
cana-5926	52	15	of	of	ADP
cana-5926	52	16	neutrosophic	neutrosophic	ADJ
cana-5926	52	17	measures	measure	NOUN
cana-5926	52	18	and	and	CCONJ
cana-5926	52	19	bounds	bound	NOUN
cana-5926	52	20	under	under	ADP
cana-5926	52	21	hybrid	hybrid	ADJ
cana-5926	52	22	uncertainty	uncertainty	NOUN
cana-5926	52	23	.	.	PUNCT
cana-5926	53	1	the	the	DET
cana-5926	53	2	survival	survival	NOUN
cana-5926	53	3	function	function	NOUN
cana-5926	53	4	𝑆𝑍𝐵(𝑥)describes	𝑆𝑍𝐵(𝑥)describe	VERB
cana-5926	53	5	the	the	DET
cana-5926	53	6	probability	probability	NOUN
cana-5926	53	7	of	of	ADP
cana-5926	53	8	observing	observe	VERB
cana-5926	53	9	values	value	NOUN
cana-5926	53	10	greater	great	ADJ
cana-5926	53	11	than	than	ADP
cana-5926	53	12	𝑥	𝑥	PROPN
cana-5926	53	13	,	,	PUNCT
cana-5926	53	14	while	while	SCONJ
cana-5926	53	15	the	the	DET
cana-5926	53	16	hazard	hazard	NOUN
cana-5926	53	17	function	function	NOUN
cana-5926	53	18	ℎ𝑍𝐵(𝑥	ℎ𝑍𝐵(𝑥	PROPN
cana-5926	53	19	)	)	PUNCT
cana-5926	53	20	captures	capture	VERB
cana-5926	53	21	the	the	DET
cana-5926	53	22	instantaneous	instantaneous	ADJ
cana-5926	53	23	risk	risk	NOUN
cana-5926	53	24	rate	rate	NOUN
cana-5926	53	25	of	of	ADP
cana-5926	53	26	an	an	DET
cana-5926	53	27	event	event	NOUN
cana-5926	53	28	at	at	ADP
cana-5926	53	29	time𝑥.	time𝑥.	PROPN
cana-5926	53	30	numerical	numerical	PROPN
cana-5926	53	31	simulation	simulation	PROPN
cana-5926	53	32	study	study	NOUN
cana-5926	53	33	to	to	PART
cana-5926	53	34	assess	assess	VERB
cana-5926	53	35	the	the	DET
cana-5926	53	36	performance	performance	NOUN
cana-5926	53	37	and	and	CCONJ
cana-5926	53	38	practical	practical	ADJ
cana-5926	53	39	behavior	behavior	NOUN
cana-5926	53	40	of	of	ADP
cana-5926	53	41	the	the	DET
cana-5926	53	42	proposed	propose	VERB
cana-5926	53	43	neutrosophic	neutrosophic	ADJ
cana-5926	53	44	credibility	credibility	NOUN
cana-5926	53	45	bounds	bound	NOUN
cana-5926	53	46	(	(	PUNCT
cana-5926	53	47	ncbs	ncbs	NOUN
cana-5926	53	48	)	)	PUNCT
cana-5926	53	49	under	under	ADP
cana-5926	53	50	the	the	DET
cana-5926	53	51	zb	zb	NOUN
cana-5926	53	52	distribution	distribution	NOUN
cana-5926	53	53	,	,	PUNCT
cana-5926	53	54	a	a	DET
cana-5926	53	55	detailed	detailed	ADJ
cana-5926	53	56	numerical	numerical	ADJ
cana-5926	53	57	simulation	simulation	NOUN
cana-5926	53	58	study	study	NOUN
cana-5926	53	59	is	be	AUX
cana-5926	53	60	conducted	conduct	VERB
cana-5926	53	61	.	.	PUNCT
cana-5926	54	1	the	the	DET
cana-5926	54	2	objective	objective	NOUN
cana-5926	54	3	is	be	AUX
cana-5926	54	4	to	to	PART
cana-5926	54	5	evaluate	evaluate	VERB
cana-5926	54	6	how	how	SCONJ
cana-5926	54	7	the	the	DET
cana-5926	54	8	distribution	distribution	NOUN
cana-5926	54	9	parameter	parameter	NOUN
cana-5926	54	10	𝜃	𝜃	PROPN
cana-5926	54	11	,	,	PUNCT
cana-5926	54	12	the	the	DET
cana-5926	54	13	credibility	credibility	NOUN
cana-5926	54	14	level	level	NOUN
cana-5926	54	15	𝛾	𝛾	NOUN
cana-5926	54	16	,	,	PUNCT
cana-5926	54	17	and	and	CCONJ
cana-5926	54	18	the	the	DET
cana-5926	54	19	neutrosophic	neutrosophic	ADJ
cana-5926	54	20	thresholds	threshold	VERB
cana-5926	54	21	𝛼1	𝛼1	NOUN
cana-5926	54	22	,	,	PUNCT
cana-5926	54	23	𝛼2	𝛼2	ADJ
cana-5926	54	24	,	,	PUNCT
cana-5926	54	25	𝛼3influence	𝛼3influence	NOUN
cana-5926	54	26	the	the	DET
cana-5926	54	27	width	width	NOUN
cana-5926	54	28	and	and	CCONJ
cana-5926	54	29	location	location	NOUN
cana-5926	54	30	of	of	ADP
cana-5926	54	31	the	the	DET
cana-5926	54	32	resulting	result	VERB
cana-5926	54	33	credibilitybounds	credibilitybound	NOUN
cana-5926	54	34	.	.	PUNCT
cana-5926	55	1	simulation	simulation	NOUN
cana-5926	55	2	setup	setup	NOUN
cana-5926	55	3	the	the	DET
cana-5926	55	4	simulation	simulation	NOUN
cana-5926	55	5	is	be	AUX
cana-5926	55	6	based	base	VERB
cana-5926	55	7	on	on	ADP
cana-5926	55	8	the	the	DET
cana-5926	55	9	following	follow	VERB
cana-5926	55	10	parameters	parameter	NOUN
cana-5926	55	11	:	:	PUNCT
cana-5926	55	12	distribution	distribution	NOUN
cana-5926	55	13	:	:	PUNCT
cana-5926	55	14	zb	zb	VERB
cana-5926	55	15	distribution	distribution	NOUN
cana-5926	55	16	with	with	ADP
cana-5926	55	17	values	value	NOUN
cana-5926	55	18	𝜃	𝜃	X
cana-5926	55	19	∈	∈	PROPN
cana-5926	55	20	{	{	PUNCT
cana-5926	55	21	0.5	0.5	NUM
cana-5926	55	22	,	,	PUNCT
cana-5926	55	23	1	1	NUM
cana-5926	55	24	,	,	PUNCT
cana-5926	55	25	2,3	2,3	NUM
cana-5926	55	26	}	}	PUNCT
cana-5926	55	27	.	.	PUNCT
cana-5926	56	1	sample	sample	NOUN
cana-5926	56	2	size:𝑛	size:𝑛	PROPN
cana-5926	57	1	=	=	NOUN
cana-5926	57	2	10,000	10,000	NUM
cana-5926	57	3	independent	independent	ADJ
cana-5926	57	4	observations	observation	NOUN
cana-5926	57	5	generated	generate	VERB
cana-5926	57	6	from	from	ADP
cana-5926	57	7	𝑓𝑍𝐵(𝑥	𝑓𝑍𝐵(𝑥	PRON
cana-5926	57	8	;	;	PUNCT
cana-5926	57	9	𝜃	𝜃	X
cana-5926	57	10	)	)	PUNCT
cana-5926	57	11	.	.	PUNCT
cana-5926	58	1	credibility	credibility	NOUN
cana-5926	58	2	levels:𝛾	levels:𝛾	PROPN
cana-5926	58	3	∈	∈	PROPN
cana-5926	58	4	{	{	PUNCT
cana-5926	58	5	0.80	0.80	NUM
cana-5926	58	6	,	,	PUNCT
cana-5926	58	7	0.90,0.95	0.90,0.95	PRON
cana-5926	58	8	}	}	PUNCT
cana-5926	58	9	figure	figure	NOUN
cana-5926	58	10	1	1	NUM
cana-5926	58	11	:	:	PUNCT
cana-5926	58	12	neutrosophic	neutrosophic	ADJ
cana-5926	58	13	components	component	NOUN
cana-5926	58	14	of	of	ADP
cana-5926	58	15	zb	zb	NOUN
cana-5926	58	16	distribution	distribution	NOUN
cana-5926	58	17	uncertainty	uncertainty	NOUN
cana-5926	58	18	parameters	parameter	NOUN
cana-5926	58	19	:	:	PUNCT
cana-5926	58	20	sensitivity	sensitivity	NOUN
cana-5926	58	21	factor	factor	NOUN
cana-5926	58	22	𝑘	𝑘	X
cana-5926	58	23	=	=	NOUN
cana-5926	58	24	1.5	1.5	NUM
cana-5926	58	25	;	;	PUNCT
cana-5926	58	26	neutrosophic	neutrosophic	ADJ
cana-5926	58	27	thresholds	threshold	NOUN
cana-5926	58	28	:	:	PUNCT
cana-5926	58	29	𝛼1	𝛼1	NOUN
cana-5926	58	30	=	=	SYM
cana-5926	58	31	0.70	0.70	NUM
cana-5926	58	32	,	,	PUNCT
cana-5926	58	33	𝛼2	𝛼2	PROPN
cana-5926	58	34	=	=	SYM
cana-5926	58	35	0.30	0.30	NUM
cana-5926	58	36	,	,	PUNCT
cana-5926	58	37	𝛼3	𝛼3	NOUN
cana-5926	58	38	=	=	NOUN
cana-5926	58	39	0.30	0.30	NUM
cana-5926	58	40	evaluation	evaluation	NOUN
cana-5926	58	41	metrics	metric	NOUN
cana-5926	58	42	:	:	PUNCT
cana-5926	58	43	computed	compute	VERB
cana-5926	58	44	bounds	bound	NOUN
cana-5926	58	45	[	[	X
cana-5926	58	46	𝐿𝐵𝛾	𝐿𝐵𝛾	NOUN
cana-5926	58	47	,	,	PUNCT
cana-5926	58	48	𝑈𝐵𝛾	𝑈𝐵𝛾	PROPN
cana-5926	58	49	]	]	PUNCT
cana-5926	58	50	,	,	PUNCT
cana-5926	58	51	interval	interval	NOUN
cana-5926	58	52	width	width	NOUN
cana-5926	58	53	,	,	PUNCT
cana-5926	58	54	and	and	CCONJ
cana-5926	58	55	coverage	coverage	NOUN
cana-5926	58	56	rate	rate	NOUN
cana-5926	58	57	of	of	ADP
cana-5926	58	58	the	the	DET
cana-5926	58	59	credibilityconditions	credibilitycondition	NOUN
cana-5926	58	60	methodology	methodology	NOUN
cana-5926	58	61	for	for	ADP
cana-5926	58	62	each	each	DET
cana-5926	58	63	combination	combination	NOUN
cana-5926	58	64	of	of	ADP
cana-5926	58	65	𝜃and	𝜃and	NOUN
cana-5926	58	66	𝛾	𝛾	PROPN
cana-5926	58	67	,	,	PUNCT
cana-5926	58	68	the	the	DET
cana-5926	58	69	following	follow	VERB
cana-5926	58	70	steps	step	NOUN
cana-5926	58	71	are	be	AUX
cana-5926	58	72	performed	perform	VERB
cana-5926	58	73	:	:	PUNCT
cana-5926	58	74	communications	communication	NOUN
cana-5926	58	75	on	on	ADP
cana-5926	58	76	applied	apply	VERB
cana-5926	58	77	nonlinear	nonlinear	ADJ
cana-5926	58	78	analysis	analysis	NOUN
cana-5926	58	79	issn	issn	NOUN
cana-5926	58	80	:	:	PUNCT
cana-5926	58	81	1074	1074	NUM
cana-5926	58	82	-	-	PUNCT
cana-5926	58	83	133x	133x	NUM
cana-5926	58	84	vol	vol	VERB
cana-5926	58	85	32	32	NUM
cana-5926	58	86	no	no	NOUN
cana-5926	58	87	.	.	PUNCT
cana-5926	59	1	10s	10	NOUN
cana-5926	59	2	(	(	PUNCT
cana-5926	59	3	2025	2025	NUM
cana-5926	59	4	)	)	PUNCT
cana-5926	59	5	3056	3056	NUM
cana-5926	59	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	59	7	generate	generate	VERB
cana-5926	59	8	𝑛observations	𝑛observation	NOUN
cana-5926	59	9	from	from	ADP
cana-5926	59	10	the	the	DET
cana-5926	59	11	zb	zb	NOUN
cana-5926	59	12	distribution	distribution	NOUN
cana-5926	59	13	using	use	VERB
cana-5926	59	14	its	its	PRON
cana-5926	59	15	mixture	mixture	NOUN
cana-5926	59	16	formulation	formulation	NOUN
cana-5926	59	17	:	:	PUNCT
cana-5926	59	18	(	(	PUNCT
cana-5926	59	19	)	)	PUNCT
cana-5926	59	20	(	(	PUNCT
cana-5926	59	21	)	)	PUNCT
cana-5926	59	22	(	(	PUNCT
cana-5926	59	23	)	)	PUNCT
cana-5926	59	24	(	(	PUNCT
cana-5926	59	25	)	)	PUNCT
cana-5926	59	26	(	(	PUNCT
cana-5926	59	27	)	)	PUNCT
cana-5926	59	28	exp	exp	NOUN
cana-5926	59	29	1	1	NUM
cana-5926	59	30	2,1	2,1	NUM
cana-5926	59	31	1	1	NUM
cana-5926	59	32	1	1	NUM
cana-5926	59	33	1	1	NUM
cana-5926	59	34	zb	zb	NOUN
cana-5926	59	35	gamma	gamma	NOUN
cana-5926	60	1	f	f	PROPN
cana-5926	61	1	x	x	PROPN
cana-5926	61	2	f	f	PROPN
cana-5926	61	3	x	x	X
cana-5926	61	4	f	f	NOUN
cana-5926	61	5	x	x	X
cana-5926	61	6			X
cana-5926	61	7			X
cana-5926	61	8			X
cana-5926	62	1	=	=	PUNCT
cana-5926	63	1	+	+	PUNCT
cana-5926	64	1	+	+	CCONJ
cana-5926	64	2	+	+	CCONJ
cana-5926	64	3	for	for	ADP
cana-5926	64	4	each	each	DET
cana-5926	64	5	sample	sample	NOUN
cana-5926	64	6	𝑥𝑖	𝑥𝑖	PROPN
cana-5926	64	7	,	,	PUNCT
cana-5926	64	8	compute	compute	VERB
cana-5926	64	9	the	the	DET
cana-5926	64	10	neutrosophic	neutrosophic	ADJ
cana-5926	64	11	components	component	NOUN
cana-5926	64	12	:	:	PUNCT
cana-5926	64	13	(	(	PUNCT
cana-5926	64	14	)	)	PUNCT
cana-5926	64	15	(	(	PUNCT
cana-5926	64	16	)	)	PUNCT
cana-5926	64	17	(	(	PUNCT
cana-5926	64	18	)	)	PUNCT
cana-5926	64	19	(	(	PUNCT
cana-5926	64	20	)	)	PUNCT
cana-5926	64	21	(	(	PUNCT
cana-5926	64	22	)	)	PUNCT
cana-5926	64	23	2	2	NUM
cana-5926	64	24	max	max	NOUN
cana-5926	64	25	0,min	0,min	NUM
cana-5926	64	26	1,1	1,1	NUM
cana-5926	64	27	,	,	PUNCT
cana-5926	64	28	i	i	PRON
cana-5926	64	29	1	1	NUM
cana-5926	64	30	,	,	PUNCT
cana-5926	64	31	f	f	PROPN
cana-5926	64	32	1i	1i	NOUN
cana-5926	65	1	i	i	PRON
cana-5926	65	2	i	i	PRON
cana-5926	66	1	i	i	PRON
cana-5926	66	2	i	i	PRON
cana-5926	67	1	i	i	VERB
cana-5926	67	2	x	x	VERB
cana-5926	67	3	t	t	NOUN
cana-5926	67	4	x	x	X
cana-5926	68	1	x	x	X
cana-5926	68	2	t	t	NOUN
cana-5926	68	3	x	x	X
cana-5926	68	4	x	x	X
cana-5926	68	5	t	t	NOUN
cana-5926	68	6	x	x	PUNCT
cana-5926	68	7	k	k	NOUN
cana-5926	68	8			NOUN
cana-5926	68	9			PROPN
cana-5926	68	10			NOUN
cana-5926	68	11	−	−	NOUN
cana-5926	69	1			PROPN
cana-5926	69	2			PROPN
cana-5926	69	3	=	=	PUNCT
cana-5926	70	1	−	−	PROPN
cana-5926	70	2	=	=	SYM
cana-5926	71	1	−	−	PROPN
cana-5926	71	2	=	=	SYM
cana-5926	71	3	−	−	PROPN
cana-5926	71	4			NOUN
cana-5926	71	5			CCONJ
cana-5926	72	1			ADJ
cana-5926	72	2			NOUN
cana-5926	72	3			NOUN
cana-5926	72	4	where	where	SCONJ
cana-5926	72	5	(	(	PUNCT
cana-5926	72	6	)	)	PUNCT
cana-5926	72	7	(	(	PUNCT
cana-5926	72	8	)	)	PUNCT
cana-5926	72	9	,	,	PUNCT
cana-5926	72	10	=	=	NOUN
cana-5926	72	11	e	e	NOUN
cana-5926	72	12	x	x	X
cana-5926	72	13	var	var	PROPN
cana-5926	72	14	x	x	PROPN
cana-5926	72	15	=	=	NOUN
cana-5926	72	16	and	and	CCONJ
cana-5926	72	17	𝑘	𝑘	PRON
cana-5926	72	18	controls	control	NOUN
cana-5926	72	19	sensitivity	sensitivity	NOUN
cana-5926	72	20	to	to	ADP
cana-5926	72	21	deviation	deviation	NOUN
cana-5926	72	22	.	.	PUNCT
cana-5926	73	1	identify	identify	VERB
cana-5926	73	2	neutrosophic	neutrosophic	ADJ
cana-5926	73	3	credibility	credibility	NOUN
cana-5926	73	4	bounds	bound	VERB
cana-5926	73	5	[	[	X
cana-5926	73	6	𝐿𝐵𝛾	𝐿𝐵𝛾	NOUN
cana-5926	73	7	,	,	PUNCT
cana-5926	73	8	𝑈𝐵𝛾	𝑈𝐵𝛾	PROPN
cana-5926	73	9	]	]	PUNCT
cana-5926	73	10	such	such	ADJ
cana-5926	73	11	that	that	SCONJ
cana-5926	73	12	:	:	PUNCT
cana-5926	73	13	𝐶𝑟(𝑇(𝑥	𝐶𝑟(𝑇(𝑥	X
cana-5926	73	14	)	)	PUNCT
cana-5926	73	15	≥	≥	NOUN
cana-5926	73	16	𝛼1	𝛼1	PROPN
cana-5926	73	17	)	)	PUNCT
cana-5926	73	18	≥	≥	NOUN
cana-5926	73	19	𝛾	𝛾	ADP
cana-5926	73	20	𝐶𝑟(𝐼(𝑥	𝐶𝑟(𝐼(𝑥	NUM
cana-5926	73	21	)	)	PUNCT
cana-5926	73	22	≤	≤	NOUN
cana-5926	73	23	𝛼2	𝛼2	PROPN
cana-5926	73	24	)	)	PUNCT
cana-5926	73	25	≥	≥	NOUN
cana-5926	73	26	𝛾	𝛾	NOUN
cana-5926	73	27	𝐶𝑟(𝐹(𝑥	𝐶𝑟(𝐹(𝑥	NOUN
cana-5926	73	28	)	)	PUNCT
cana-5926	73	29	≤	≤	NOUN
cana-5926	73	30	𝛼3	𝛼3	NOUN
cana-5926	73	31	)	)	PUNCT
cana-5926	73	32	≥	≥	X
cana-5926	73	33	𝛾	𝛾	AUX
cana-5926	73	34	repeat	repeat	VERB
cana-5926	73	35	for	for	ADP
cana-5926	73	36	each	each	DET
cana-5926	73	37	combination	combination	NOUN
cana-5926	73	38	of	of	ADP
cana-5926	73	39	𝜃	𝜃	NOUN
cana-5926	73	40	and	and	CCONJ
cana-5926	73	41	𝛾.	𝛾.	ADJ
cana-5926	73	42	record	record	NOUN
cana-5926	73	43	bounds	bound	NOUN
cana-5926	73	44	,	,	PUNCT
cana-5926	73	45	interval	interval	NOUN
cana-5926	73	46	widths	width	NOUN
cana-5926	73	47	,	,	PUNCT
cana-5926	73	48	and	and	CCONJ
cana-5926	73	49	satisfaction	satisfaction	NOUN
cana-5926	73	50	rates	rate	NOUN
cana-5926	73	51	.	.	PUNCT
cana-5926	74	1	results	result	NOUN
cana-5926	74	2	and	and	CCONJ
cana-5926	74	3	discussion	discussion	NOUN
cana-5926	74	4	the	the	DET
cana-5926	74	5	simulation	simulation	NOUN
cana-5926	74	6	results	result	NOUN
cana-5926	74	7	demonstrate	demonstrate	VERB
cana-5926	74	8	the	the	DET
cana-5926	74	9	following	follow	VERB
cana-5926	74	10	trends	trend	NOUN
cana-5926	74	11	:	:	PUNCT
cana-5926	74	12	as	as	ADP
cana-5926	74	13	𝜃increases	𝜃increase	NOUN
cana-5926	74	14	,	,	PUNCT
cana-5926	74	15	the	the	DET
cana-5926	74	16	zb	zb	NOUN
cana-5926	74	17	distribution	distribution	NOUN
cana-5926	74	18	becomes	become	VERB
cana-5926	74	19	more	more	ADV
cana-5926	74	20	skewed	skewed	ADJ
cana-5926	74	21	to	to	ADP
cana-5926	74	22	the	the	DET
cana-5926	74	23	right	right	NOUN
cana-5926	74	24	,	,	PUNCT
cana-5926	74	25	resulting	result	VERB
cana-5926	74	26	in	in	ADP
cana-5926	74	27	wider	wide	ADJ
cana-5926	74	28	credibility	credibility	NOUN
cana-5926	74	29	intervals	interval	NOUN
cana-5926	74	30	.	.	PUNCT
cana-5926	75	1	higher	high	ADJ
cana-5926	75	2	values	value	NOUN
cana-5926	75	3	of	of	ADP
cana-5926	75	4	𝛾lead	𝛾lead	NOUN
cana-5926	75	5	to	to	ADP
cana-5926	75	6	broader	broad	ADJ
cana-5926	75	7	bounds	bound	NOUN
cana-5926	75	8	,	,	PUNCT
cana-5926	75	9	reflecting	reflect	VERB
cana-5926	75	10	increased	increase	VERB
cana-5926	75	11	caution	caution	NOUN
cana-5926	75	12	under	under	ADP
cana-5926	75	13	stronger	strong	ADJ
cana-5926	75	14	credibility	credibility	NOUN
cana-5926	75	15	requirements	requirement	NOUN
cana-5926	75	16	.	.	PUNCT
cana-5926	76	1	bounds	bound	NOUN
cana-5926	76	2	are	be	AUX
cana-5926	76	3	sensitive	sensitive	ADJ
cana-5926	76	4	to	to	ADP
cana-5926	76	5	neutrosophic	neutrosophic	ADJ
cana-5926	76	6	thresholds	threshold	NOUN
cana-5926	76	7	:	:	PUNCT
cana-5926	76	8	lowering	lower	VERB
cana-5926	76	9	𝛼1	𝛼1	NOUN
cana-5926	76	10	or	or	CCONJ
cana-5926	76	11	increasing	increase	VERB
cana-5926	76	12	𝛼2	𝛼2	PROPN
cana-5926	76	13	,	,	PUNCT
cana-5926	76	14	𝛼3	𝛼3	NOUN
cana-5926	76	15	reduces	reduce	VERB
cana-5926	76	16	interval	interval	NOUN
cana-5926	76	17	width	width	NOUN
cana-5926	76	18	.	.	PUNCT
cana-5926	77	1	for	for	ADP
cana-5926	77	2	all	all	DET
cana-5926	77	3	tested	test	VERB
cana-5926	77	4	scenarios	scenario	NOUN
cana-5926	77	5	,	,	PUNCT
cana-5926	77	6	the	the	DET
cana-5926	77	7	observed	observe	VERB
cana-5926	77	8	coverage	coverage	NOUN
cana-5926	77	9	rates	rate	NOUN
cana-5926	77	10	consistently	consistently	ADV
cana-5926	77	11	met	meet	VERB
cana-5926	77	12	or	or	CCONJ
cana-5926	77	13	exceeded	exceed	VERB
cana-5926	77	14	the	the	DET
cana-5926	77	15	target	target	NOUN
cana-5926	77	16	credibility	credibility	NOUN
cana-5926	77	17	level	level	NOUN
cana-5926	77	18	𝛾	𝛾	ADP
cana-5926	77	19	,	,	PUNCT
cana-5926	77	20	confirming	confirm	VERB
cana-5926	77	21	the	the	DET
cana-5926	77	22	reliability	reliability	NOUN
cana-5926	77	23	of	of	ADP
cana-5926	77	24	the	the	DET
cana-5926	77	25	ncb	ncb	NOUN
cana-5926	77	26	approach	approach	NOUN
cana-5926	77	27	.	.	PUNCT
cana-5926	78	1	table	table	NOUN
cana-5926	78	2	1	1	NUM
cana-5926	78	3	:	:	PUNCT
cana-5926	78	4	neutrosophic	neutrosophic	ADJ
cana-5926	78	5	credibility	credibility	NOUN
cana-5926	78	6	bounds	bound	VERB
cana-5926	78	7	for	for	ADP
cana-5926	78	8	various	various	ADJ
cana-5926	78	9	𝜃and	𝜃and	NOUN
cana-5926	78	10	𝛾	𝛾	NOUN
cana-5926	78	11	𝜃	𝜃	NOUN
cana-5926	78	12	𝛾	𝛾	AUX
cana-5926	78	13	lower	lower	ADV
cana-5926	78	14	bound	bind	VERB
cana-5926	78	15	lbγ	lbγ	ADP
cana-5926	78	16	upper	upper	ADJ
cana-5926	78	17	bound	bind	VERB
cana-5926	78	18	ubγ	ubγ	PROPN
cana-5926	78	19	width	width	VERB
cana-5926	78	20	1.0	1.0	NUM
cana-5926	78	21	0.80	0.80	NUM
cana-5926	78	22	1.22	1.22	NUM
cana-5926	78	23	6.85	6.85	NUM
cana-5926	78	24	5.63	5.63	NUM
cana-5926	78	25	1.0	1.0	NUM
cana-5926	78	26	0.90	0.90	NUM
cana-5926	78	27	0.98	0.98	NUM
cana-5926	78	28	7.45	7.45	NUM
cana-5926	78	29	6.47	6.47	NUM
cana-5926	78	30	2.0	2.0	NUM
cana-5926	78	31	0.90	0.90	NUM
cana-5926	78	32	1.45	1.45	NUM
cana-5926	78	33	8.12	8.12	NUM
cana-5926	78	34	6.67	6.67	NUM
cana-5926	78	35	2.0	2.0	NUM
cana-5926	78	36	0.95	0.95	NUM
cana-5926	78	37	1.10	1.10	NUM
cana-5926	78	38	8.98	8.98	NUM
cana-5926	78	39	7.88	7.88	NUM
cana-5926	78	40	communications	communication	NOUN
cana-5926	78	41	on	on	ADP
cana-5926	78	42	applied	apply	VERB
cana-5926	78	43	nonlinear	nonlinear	ADJ
cana-5926	78	44	analysis	analysis	NOUN
cana-5926	78	45	issn	issn	NOUN
cana-5926	78	46	:	:	PUNCT
cana-5926	78	47	1074	1074	NUM
cana-5926	78	48	-	-	PUNCT
cana-5926	78	49	133x	133x	NUM
cana-5926	78	50	vol	vol	VERB
cana-5926	78	51	32	32	NUM
cana-5926	78	52	no	no	NOUN
cana-5926	78	53	.	.	PUNCT
cana-5926	79	1	10s	10	NOUN
cana-5926	79	2	(	(	PUNCT
cana-5926	79	3	2025	2025	NUM
cana-5926	79	4	)	)	PUNCT
cana-5926	79	5	3057	3057	NUM
cana-5926	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	79	7	3.0	3.0	NUM
cana-5926	79	8	0.95	0.95	NUM
cana-5926	79	9	1.02	1.02	NUM
cana-5926	79	10	9.32	9.32	NUM
cana-5926	79	11	8.30	8.30	NUM
cana-5926	79	12	these	these	DET
cana-5926	79	13	findings	finding	NOUN
cana-5926	79	14	support	support	VERB
cana-5926	79	15	the	the	DET
cana-5926	79	16	effectiveness	effectiveness	NOUN
cana-5926	79	17	of	of	ADP
cana-5926	79	18	the	the	DET
cana-5926	79	19	zb	zb	PROPN
cana-5926	79	20	neutrosophic	neutrosophic	ADJ
cana-5926	79	21	framework	framework	NOUN
cana-5926	79	22	in	in	ADP
cana-5926	79	23	delivering	deliver	VERB
cana-5926	79	24	flexible	flexible	ADJ
cana-5926	79	25	,	,	PUNCT
cana-5926	79	26	interpretable	interpretable	ADJ
cana-5926	79	27	,	,	PUNCT
cana-5926	79	28	and	and	CCONJ
cana-5926	79	29	credible	credible	ADJ
cana-5926	79	30	interval	interval	NOUN
cana-5926	79	31	estimates	estimate	NOUN
cana-5926	79	32	for	for	ADP
cana-5926	79	33	applications	application	NOUN
cana-5926	79	34	involving	involve	VERB
cana-5926	79	35	hybrid	hybrid	ADJ
cana-5926	79	36	uncertainty	uncertainty	NOUN
cana-5926	79	37	,	,	PUNCT
cana-5926	79	38	such	such	ADJ
cana-5926	79	39	as	as	ADP
cana-5926	79	40	finance	finance	NOUN
cana-5926	79	41	,	,	PUNCT
cana-5926	79	42	insurance	insurance	NOUN
cana-5926	79	43	,	,	PUNCT
cana-5926	79	44	and	and	CCONJ
cana-5926	79	45	reliability	reliability	NOUN
cana-5926	79	46	analysis	analysis	NOUN
cana-5926	79	47	.	.	PUNCT
cana-5926	80	1	applications	application	NOUN
cana-5926	80	2	in	in	ADP
cana-5926	80	3	finance	finance	NOUN
cana-5926	80	4	and	and	CCONJ
cana-5926	80	5	insurance	insurance	NOUN
cana-5926	80	6	financial	financial	ADJ
cana-5926	80	7	systems	system	NOUN
cana-5926	80	8	and	and	CCONJ
cana-5926	80	9	insurance	insurance	NOUN
cana-5926	80	10	domains	domain	NOUN
cana-5926	80	11	are	be	AUX
cana-5926	80	12	inherently	inherently	ADV
cana-5926	80	13	uncertain	uncertain	ADJ
cana-5926	80	14	,	,	PUNCT
cana-5926	80	15	often	often	ADV
cana-5926	80	16	characterized	characterize	VERB
cana-5926	80	17	by	by	ADP
cana-5926	80	18	incomplete	incomplete	ADJ
cana-5926	80	19	data	datum	NOUN
cana-5926	80	20	,	,	PUNCT
cana-5926	80	21	expert	expert	NOUN
cana-5926	80	22	disagreement	disagreement	NOUN
cana-5926	80	23	,	,	PUNCT
cana-5926	80	24	and	and	CCONJ
cana-5926	80	25	volatile	volatile	ADJ
cana-5926	80	26	markets	market	NOUN
cana-5926	80	27	.	.	PUNCT
cana-5926	81	1	classical	classical	ADJ
cana-5926	81	2	risk	risk	NOUN
cana-5926	81	3	models	model	NOUN
cana-5926	81	4	based	base	VERB
cana-5926	81	5	solely	solely	ADV
cana-5926	81	6	on	on	ADP
cana-5926	81	7	probabilistic	probabilistic	ADJ
cana-5926	81	8	assumptions	assumption	NOUN
cana-5926	81	9	often	often	ADV
cana-5926	81	10	fail	fail	VERB
cana-5926	81	11	to	to	PART
cana-5926	81	12	fully	fully	ADV
cana-5926	81	13	capture	capture	VERB
cana-5926	81	14	this	this	DET
cana-5926	81	15	hybrid	hybrid	ADJ
cana-5926	81	16	uncertainty	uncertainty	NOUN
cana-5926	81	17	.	.	PUNCT
cana-5926	82	1	the	the	DET
cana-5926	82	2	zb	zb	PROPN
cana-5926	82	3	distribution	distribution	NOUN
cana-5926	82	4	,	,	PUNCT
cana-5926	82	5	formed	form	VERB
cana-5926	82	6	as	as	ADP
cana-5926	82	7	a	a	DET
cana-5926	82	8	mixture	mixture	NOUN
cana-5926	82	9	of	of	ADP
cana-5926	82	10	exponential	exponential	ADJ
cana-5926	82	11	and	and	CCONJ
cana-5926	82	12	gamma	gamma	NOUN
cana-5926	82	13	components	component	NOUN
cana-5926	82	14	,	,	PUNCT
cana-5926	82	15	offers	offer	VERB
cana-5926	82	16	enhanced	enhance	VERB
cana-5926	82	17	flexibility	flexibility	NOUN
cana-5926	82	18	for	for	ADP
cana-5926	82	19	modeling	model	VERB
cana-5926	82	20	such	such	ADJ
cana-5926	82	21	uncertainty	uncertainty	NOUN
cana-5926	82	22	.	.	PUNCT
cana-5926	83	1	when	when	SCONJ
cana-5926	83	2	integrated	integrate	VERB
cana-5926	83	3	with	with	ADP
cana-5926	83	4	neutrosophic	neutrosophic	ADJ
cana-5926	83	5	logic	logic	NOUN
cana-5926	83	6	and	and	CCONJ
cana-5926	83	7	credibility	credibility	NOUN
cana-5926	83	8	theory	theory	NOUN
cana-5926	83	9	,	,	PUNCT
cana-5926	83	10	it	it	PRON
cana-5926	83	11	provides	provide	VERB
cana-5926	83	12	a	a	DET
cana-5926	83	13	robust	robust	ADJ
cana-5926	83	14	framework	framework	NOUN
cana-5926	83	15	for	for	ADP
cana-5926	83	16	modeling	model	VERB
cana-5926	83	17	uncertain	uncertain	ADJ
cana-5926	83	18	quantities	quantity	NOUN
cana-5926	83	19	such	such	ADJ
cana-5926	83	20	as	as	ADP
cana-5926	83	21	a	a	DET
cana-5926	83	22	set	set	NOUN
cana-5926	83	23	returns	return	NOUN
cana-5926	83	24	,	,	PUNCT
cana-5926	83	25	claim	claim	NOUN
cana-5926	83	26	severity	severity	NOUN
cana-5926	83	27	,	,	PUNCT
cana-5926	83	28	and	and	CCONJ
cana-5926	83	29	credit	credit	NOUN
cana-5926	83	30	risk	risk	NOUN
cana-5926	83	31	.	.	PUNCT
cana-5926	84	1	modeling	model	VERB
cana-5926	84	2	loss	loss	NOUN
cana-5926	84	3	severity	severity	NOUN
cana-5926	84	4	in	in	ADP
cana-5926	84	5	insurance	insurance	NOUN
cana-5926	84	6	let	let	VERB
cana-5926	84	7	x	x	PRON
cana-5926	84	8	represents	represent	VERB
cana-5926	84	9	the	the	DET
cana-5926	84	10	severity	severity	NOUN
cana-5926	84	11	of	of	ADP
cana-5926	84	12	a	a	DET
cana-5926	84	13	financial	financial	ADJ
cana-5926	84	14	loss	loss	NOUN
cana-5926	84	15	claim	claim	NOUN
cana-5926	84	16	.	.	PUNCT
cana-5926	85	1	due	due	ADP
cana-5926	85	2	to	to	PART
cana-5926	85	3	sparse	sparse	VERB
cana-5926	85	4	historical	historical	ADJ
cana-5926	85	5	records	record	NOUN
cana-5926	85	6	or	or	CCONJ
cana-5926	85	7	conflicting	conflict	VERB
cana-5926	85	8	expert	expert	NOUN
cana-5926	85	9	assessments	assessment	NOUN
cana-5926	85	10	,	,	PUNCT
cana-5926	85	11	the	the	DET
cana-5926	85	12	distribution	distribution	NOUN
cana-5926	85	13	of	of	ADP
cana-5926	85	14	x	x	PRON
cana-5926	85	15	may	may	AUX
cana-5926	85	16	notbe	notbe	VERB
cana-5926	85	17	precisely	precisely	ADV
cana-5926	85	18	defined	define	VERB
cana-5926	85	19	.	.	PUNCT
cana-5926	86	1	the	the	DET
cana-5926	86	2	zb	zb	PROPN
cana-5926	86	3	distribution	distribution	NOUN
cana-5926	86	4	addresses	address	NOUN
cana-5926	86	5	this	this	PRON
cana-5926	86	6	by	by	ADP
cana-5926	86	7	capturing	capture	VERB
cana-5926	86	8	both	both	DET
cana-5926	86	9	frequent	frequent	ADJ
cana-5926	86	10	,	,	PUNCT
cana-5926	86	11	small	small	ADJ
cana-5926	86	12	claims	claim	NOUN
cana-5926	86	13	(	(	PUNCT
cana-5926	86	14	via	via	ADP
cana-5926	86	15	its	its	PRON
cana-5926	86	16	exponential	exponential	ADJ
cana-5926	86	17	component	component	NOUN
cana-5926	86	18	)	)	PUNCT
cana-5926	86	19	and	and	CCONJ
cana-5926	86	20	rare	rare	ADJ
cana-5926	86	21	,	,	PUNCT
cana-5926	86	22	large	large	ADJ
cana-5926	86	23	claims	claim	NOUN
cana-5926	86	24	(	(	PUNCT
cana-5926	86	25	via	via	ADP
cana-5926	86	26	its	its	PRON
cana-5926	86	27	gamma	gamma	NOUN
cana-5926	86	28	component	component	NOUN
cana-5926	86	29	)	)	PUNCT
cana-5926	86	30	.	.	PUNCT
cana-5926	87	1	applying	apply	VERB
cana-5926	87	2	neutrosophic	neutrosophic	ADJ
cana-5926	87	3	credibility	credibility	NOUN
cana-5926	87	4	bounds	bound	VERB
cana-5926	87	5	to	to	ADP
cana-5926	87	6	zb	zb	NOUN
cana-5926	87	7	-	-	PUNCT
cana-5926	87	8	fitted	fit	VERB
cana-5926	87	9	data	data	NOUN
cana-5926	87	10	enables	enable	VERB
cana-5926	87	11	actuaries	actuary	NOUN
cana-5926	87	12	to	to	PART
cana-5926	87	13	generate	generate	VERB
cana-5926	87	14	interval	interval	NOUN
cana-5926	87	15	estimates	estimate	NOUN
cana-5926	87	16	that	that	PRON
cana-5926	87	17	reflect	reflect	VERB
cana-5926	87	18	epistemic	epistemic	ADJ
cana-5926	87	19	and	and	CCONJ
cana-5926	87	20	aleatory	aleatory	ADJ
cana-5926	87	21	uncertainty	uncertainty	NOUN
cana-5926	87	22	.	.	PUNCT
cana-5926	88	1	table	table	NOUN
cana-5926	88	2	2	2	NUM
cana-5926	88	3	:	:	PUNCT
cana-5926	88	4	neutrosophic	neutrosophic	ADJ
cana-5926	88	5	credibility	credibility	NOUN
cana-5926	88	6	bounds	bound	VERB
cana-5926	88	7	for	for	ADP
cana-5926	88	8	insurance	insurance	NOUN
cana-5926	88	9	losses	loss	NOUN
cana-5926	88	10	as	as	SCONJ
cana-5926	88	11	expected	expect	VERB
cana-5926	88	12	,	,	PUNCT
cana-5926	88	13	increasing	increase	VERB
cana-5926	88	14	the	the	DET
cana-5926	88	15	credibility	credibility	NOUN
cana-5926	88	16	level	level	NOUN
cana-5926	88	17	𝛾results	𝛾result	NOUN
cana-5926	88	18	in	in	ADP
cana-5926	88	19	wider	wide	ADJ
cana-5926	88	20	bounds	bound	NOUN
cana-5926	88	21	,	,	PUNCT
cana-5926	88	22	reflecting	reflect	VERB
cana-5926	88	23	greater	great	ADJ
cana-5926	88	24	conservatismin	conservatismin	NOUN
cana-5926	88	25	risk	risk	NOUN
cana-5926	88	26	estimation	estimation	NOUN
cana-5926	88	27	under	under	ADP
cana-5926	88	28	higher	high	ADJ
cana-5926	88	29	uncertainty	uncertainty	NOUN
cana-5926	88	30	.	.	PUNCT
cana-5926	89	1	cred	cred	ADJ
cana-5926	89	2	level	level	NOUN
cana-5926	89	3	gamma	gamma	NOUN
cana-5926	89	4	truth	truth	NOUN
cana-5926	89	5	threshold	threshold	NOUN
cana-5926	89	6	alpha	alpha	NOUN
cana-5926	89	7	1	1	NUM
cana-5926	89	8	indeterminacy	indeterminacy	NOUN
cana-5926	89	9	threshold	threshold	NOUN
cana-5926	89	10	alpha	alpha	NOUN
cana-5926	89	11	2	2	NUM
cana-5926	89	12	lower	lower	ADV
cana-5926	89	13	bound	bind	VERB
cana-5926	89	14	upper	upper	ADJ
cana-5926	89	15	bound	bind	VERB
cana-5926	89	16	0.8	0.8	NUM
cana-5926	89	17	0.7	0.7	NUM
cana-5926	89	18	0.3	0.3	NUM
cana-5926	89	19	1200	1200	NUM
cana-5926	89	20	5800	5800	NUM
cana-5926	89	21	0.9	0.9	NUM
cana-5926	89	22	0.7	0.7	NUM
cana-5926	89	23	0.3	0.3	NUM
cana-5926	89	24	950	950	NUM
cana-5926	89	25	6750	6750	NUM
cana-5926	89	26	0.95	0.95	NUM
cana-5926	89	27	0.7	0.7	NUM
cana-5926	89	28	0.3	0.3	NUM
cana-5926	89	29	850	850	NUM
cana-5926	89	30	7300	7300	NUM
cana-5926	89	31	communications	communication	NOUN
cana-5926	89	32	on	on	ADP
cana-5926	89	33	applied	apply	VERB
cana-5926	89	34	nonlinear	nonlinear	ADJ
cana-5926	89	35	analysis	analysis	NOUN
cana-5926	89	36	issn	issn	NOUN
cana-5926	89	37	:	:	PUNCT
cana-5926	89	38	1074	1074	NUM
cana-5926	89	39	-	-	PUNCT
cana-5926	89	40	133x	133x	NUM
cana-5926	89	41	vol	vol	VERB
cana-5926	89	42	32	32	NUM
cana-5926	89	43	no	no	NOUN
cana-5926	89	44	.	.	PUNCT
cana-5926	90	1	10s	10	NOUN
cana-5926	90	2	(	(	PUNCT
cana-5926	90	3	2025	2025	NUM
cana-5926	90	4	)	)	PUNCT
cana-5926	90	5	3058	3058	NUM
cana-5926	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	90	7	figure2	figure2	ADJ
cana-5926	90	8	:	:	PUNCT
cana-5926	90	9	simulatedfinanciallossesmodeledbythezbdistribution.theredcurverepresents	simulatedfinanciallossesmodeledbythezbdistribution.theredcurverepresent	VERB
cana-5926	90	10	the	the	DET
cana-5926	90	11	theoretical	theoretical	ADJ
cana-5926	90	12	zb	zb	NOUN
cana-5926	90	13	probability	probability	NOUN
cana-5926	90	14	densityfunction	densityfunction	NOUN
cana-5926	90	15	.	.	PUNCT
cana-5926	91	1	uncertain	uncertain	ADJ
cana-5926	91	2	asset	asset	NOUN
cana-5926	91	3	returns	return	NOUN
cana-5926	91	4	in	in	ADP
cana-5926	91	5	portfolio	portfolio	NOUN
cana-5926	91	6	optimization	optimization	NOUN
cana-5926	91	7	,	,	PUNCT
cana-5926	91	8	asset	asset	NOUN
cana-5926	91	9	returns	return	NOUN
cana-5926	91	10	often	often	ADV
cana-5926	91	11	deviate	deviate	VERB
cana-5926	91	12	from	from	ADP
cana-5926	91	13	the	the	DET
cana-5926	91	14	normal	normal	ADJ
cana-5926	91	15	distribution	distribution	NOUN
cana-5926	91	16	,	,	PUNCT
cana-5926	91	17	particularly	particularly	ADV
cana-5926	91	18	in	in	ADP
cana-5926	91	19	turbulent	turbulent	ADJ
cana-5926	91	20	markets	market	NOUN
cana-5926	91	21	.	.	PUNCT
cana-5926	92	1	the	the	DET
cana-5926	92	2	zb	zb	PROPN
cana-5926	92	3	distribution	distribution	NOUN
cana-5926	92	4	accommodates	accommodate	VERB
cana-5926	92	5	skewness	skewness	NOUN
cana-5926	92	6	and	and	CCONJ
cana-5926	92	7	heavy	heavy	ADJ
cana-5926	92	8	-	-	PUNCT
cana-5926	92	9	tailed	tail	VERB
cana-5926	92	10	behavior	behavior	NOUN
cana-5926	92	11	,	,	PUNCT
cana-5926	92	12	making	make	VERB
cana-5926	92	13	it	it	PRON
cana-5926	92	14	more	more	ADV
cana-5926	92	15	realistic	realistic	ADJ
cana-5926	92	16	than	than	ADP
cana-5926	92	17	gaussian	gaussian	NOUN
cana-5926	92	18	-	-	PUNCT
cana-5926	92	19	based	base	VERB
cana-5926	92	20	models	model	NOUN
cana-5926	92	21	.	.	PUNCT
cana-5926	93	1	when	when	SCONJ
cana-5926	93	2	combined	combine	VERB
cana-5926	93	3	with	with	ADP
cana-5926	93	4	neutrosophic	neutrosophic	ADJ
cana-5926	93	5	credibility	credibility	NOUN
cana-5926	93	6	bounds	bound	NOUN
cana-5926	93	7	,	,	PUNCT
cana-5926	93	8	investors	investor	NOUN
cana-5926	93	9	can	can	AUX
cana-5926	93	10	construct	construct	VERB
cana-5926	93	11	return	return	NOUN
cana-5926	93	12	intervals	interval	NOUN
cana-5926	93	13	that	that	PRON
cana-5926	93	14	reflect	reflect	VERB
cana-5926	93	15	partial	partial	ADJ
cana-5926	93	16	truth	truth	NOUN
cana-5926	93	17	and	and	CCONJ
cana-5926	93	18	incomplete	incomplete	ADJ
cana-5926	93	19	information	information	NOUN
cana-5926	93	20	useful	useful	ADJ
cana-5926	93	21	for	for	ADP
cana-5926	93	22	stress	stress	NOUN
cana-5926	93	23	testing	testing	NOUN
cana-5926	93	24	,	,	PUNCT
cana-5926	93	25	scenario	scenario	NOUN
cana-5926	93	26	planning	planning	NOUN
cana-5926	93	27	,	,	PUNCT
cana-5926	93	28	and	and	CCONJ
cana-5926	93	29	robust	robust	ADJ
cana-5926	93	30	investmentstrategies	investmentstrategie	NOUN
cana-5926	93	31	.	.	PUNCT
cana-5926	94	1	credit	credit	NOUN
cana-5926	94	2	risk	risk	NOUN
cana-5926	94	3	classification	classification	NOUN
cana-5926	94	4	banks	bank	NOUN
cana-5926	94	5	segment	segment	NOUN
cana-5926	94	6	borrowers	borrower	NOUN
cana-5926	94	7	into	into	ADP
cana-5926	94	8	risk	risk	NOUN
cana-5926	94	9	categories	category	NOUN
cana-5926	94	10	based	base	VERB
cana-5926	94	11	on	on	ADP
cana-5926	94	12	credit	credit	NOUN
cana-5926	94	13	scoring	scoring	NOUN
cana-5926	94	14	systems	system	NOUN
cana-5926	94	15	,	,	PUNCT
cana-5926	94	16	which	which	PRON
cana-5926	94	17	are	be	AUX
cana-5926	94	18	often	often	ADV
cana-5926	94	19	incomplete	incomplete	ADJ
cana-5926	94	20	,	,	PUNCT
cana-5926	94	21	noisy	noisy	ADJ
cana-5926	94	22	,	,	PUNCT
cana-5926	94	23	or	or	CCONJ
cana-5926	94	24	subjectively	subjectively	ADV
cana-5926	94	25	adjusted	adjust	VERB
cana-5926	94	26	.	.	PUNCT
cana-5926	95	1	the	the	DET
cana-5926	95	2	zb	zb	PROPN
cana-5926	95	3	distribution	distribution	NOUN
cana-5926	95	4	provides	provide	VERB
cana-5926	95	5	a	a	DET
cana-5926	95	6	probabilistic	probabilistic	ADJ
cana-5926	95	7	model	model	NOUN
cana-5926	95	8	for	for	ADP
cana-5926	95	9	credit	credit	NOUN
cana-5926	95	10	score	score	NOUN
cana-5926	95	11	variability	variability	NOUN
cana-5926	95	12	.	.	PUNCT
cana-5926	96	1	using	use	VERB
cana-5926	96	2	neutrosophic	neutrosophic	ADJ
cana-5926	96	3	bounds	bound	NOUN
cana-5926	96	4	,	,	PUNCT
cana-5926	96	5	institutions	institution	NOUN
cana-5926	96	6	can	can	AUX
cana-5926	96	7	define	define	VERB
cana-5926	96	8	data	datum	NOUN
cana-5926	96	9	driven	drive	VERB
cana-5926	96	10	,	,	PUNCT
cana-5926	96	11	credibility	credibility	NOUN
cana-5926	96	12	-	-	PUNCT
cana-5926	96	13	based	base	VERB
cana-5926	96	14	risk	risk	NOUN
cana-5926	96	15	intervals	interval	NOUN
cana-5926	96	16	that	that	PRON
cana-5926	96	17	incorporate	incorporate	VERB
cana-5926	96	18	varying	vary	VERB
cana-5926	96	19	levels	level	NOUN
cana-5926	96	20	of	of	ADP
cana-5926	96	21	trust	trust	NOUN
cana-5926	96	22	,	,	PUNCT
cana-5926	96	23	conflict	conflict	NOUN
cana-5926	96	24	,	,	PUNCT
cana-5926	96	25	and	and	CCONJ
cana-5926	96	26	uncertainty	uncertainty	NOUN
cana-5926	96	27	.	.	PUNCT
cana-5926	97	1	table	table	NOUN
cana-5926	97	2	3	3	NUM
cana-5926	97	3	:	:	PUNCT
cana-5926	97	4	neutrosophic	neutrosophic	ADJ
cana-5926	97	5	boundaries	boundary	NOUN
cana-5926	97	6	for	for	ADP
cana-5926	97	7	borrower	borrower	NOUN
cana-5926	97	8	segments	segment	NOUN
cana-5926	97	9	segment	segment	NOUN
cana-5926	97	10	mean	mean	VERB
cana-5926	97	11	credit	credit	NOUN
cana-5926	97	12	score	score	NOUN
cana-5926	97	13	truth	truth	NOUN
cana-5926	97	14	level	level	NOUN
cana-5926	97	15	𝑇(𝑥	𝑇(𝑥	NOUN
cana-5926	97	16	)	)	PUNCT
cana-5926	97	17	ncb	ncb	NOUN
cana-5926	97	18	interval	interval	NOUN
cana-5926	97	19	risk	risk	NOUN
cana-5926	97	20	category	category	NOUN
cana-5926	97	21	a	a	DET
cana-5926	97	22	730	730	NUM
cana-5926	97	23	0.95	0.95	NUM
cana-5926	98	1	[	[	X
cana-5926	98	2	680	680	NUM
cana-5926	98	3	,	,	PUNCT
cana-5926	98	4	770	770	NUM
cana-5926	98	5	]	]	X
cana-5926	98	6	low	low	PROPN
cana-5926	98	7	b	b	PROPN
cana-5926	98	8	620	620	NUM
cana-5926	98	9	0.70	0.70	NUM
cana-5926	98	10	[	[	X
cana-5926	98	11	540	540	NUM
cana-5926	98	12	,	,	PUNCT
cana-5926	98	13	690	690	NUM
cana-5926	98	14	]	]	PUNCT
cana-5926	98	15	moderate	moderate	PROPN
cana-5926	98	16	c	c	NOUN
cana-5926	98	17	510	510	NUM
cana-5926	98	18	0.55	0.55	NUM
cana-5926	98	19	[	[	X
cana-5926	98	20	420	420	NUM
cana-5926	98	21	,	,	PUNCT
cana-5926	98	22	620	620	NUM
cana-5926	98	23	]	]	X
cana-5926	98	24	high	high	ADJ
cana-5926	98	25	these	these	DET
cana-5926	98	26	intervals	interval	NOUN
cana-5926	98	27	provide	provide	VERB
cana-5926	98	28	flexible	flexible	ADJ
cana-5926	98	29	classification	classification	NOUN
cana-5926	98	30	thresholds	threshold	NOUN
cana-5926	98	31	that	that	PRON
cana-5926	98	32	account	account	VERB
cana-5926	98	33	for	for	ADP
cana-5926	98	34	uncertainty	uncertainty	NOUN
cana-5926	98	35	in	in	ADP
cana-5926	98	36	both	both	CCONJ
cana-5926	98	37	the	the	DET
cana-5926	98	38	data	datum	NOUN
cana-5926	98	39	and	and	CCONJ
cana-5926	98	40	expert	expert	ADJ
cana-5926	98	41	judgment	judgment	NOUN
cana-5926	98	42	useful	useful	ADJ
cana-5926	98	43	for	for	ADP
cana-5926	98	44	loan	loan	NOUN
cana-5926	98	45	pricing	pricing	NOUN
cana-5926	98	46	,	,	PUNCT
cana-5926	98	47	credit	credit	NOUN
cana-5926	98	48	limits	limit	NOUN
cana-5926	98	49	,	,	PUNCT
cana-5926	98	50	and	and	CCONJ
cana-5926	98	51	regulatory	regulatory	ADJ
cana-5926	98	52	reporting	reporting	NOUN
cana-5926	98	53	.	.	PUNCT
cana-5926	99	1	communications	communication	NOUN
cana-5926	99	2	on	on	ADP
cana-5926	99	3	applied	apply	VERB
cana-5926	99	4	nonlinear	nonlinear	ADJ
cana-5926	99	5	analysis	analysis	NOUN
cana-5926	99	6	issn	issn	NOUN
cana-5926	99	7	:	:	PUNCT
cana-5926	99	8	1074	1074	NUM
cana-5926	99	9	-	-	PUNCT
cana-5926	99	10	133x	133x	NUM
cana-5926	99	11	vol	vol	VERB
cana-5926	99	12	32	32	NUM
cana-5926	99	13	no	no	NOUN
cana-5926	99	14	.	.	PUNCT
cana-5926	100	1	10s	10	NOUN
cana-5926	100	2	(	(	PUNCT
cana-5926	100	3	2025	2025	NUM
cana-5926	100	4	)	)	PUNCT
cana-5926	100	5	3059	3059	NUM
cana-5926	100	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	100	7	portfolio	portfolio	NOUN
cana-5926	100	8	stress	stress	NOUN
cana-5926	100	9	testing	testing	NOUN
cana-5926	100	10	under	under	ADP
cana-5926	100	11	epistemic	epistemic	ADJ
cana-5926	100	12	risk	risk	NOUN
cana-5926	100	13	stress	stress	NOUN
cana-5926	100	14	testing	testing	NOUN
cana-5926	100	15	simulates	simulate	NOUN
cana-5926	100	16	adverse	adverse	ADJ
cana-5926	100	17	financial	financial	ADJ
cana-5926	100	18	scenarios	scenario	NOUN
cana-5926	100	19	to	to	PART
cana-5926	100	20	estimate	estimate	VERB
cana-5926	100	21	potential	potential	ADJ
cana-5926	100	22	losses	loss	NOUN
cana-5926	100	23	.	.	PUNCT
cana-5926	101	1	traditional	traditional	ADJ
cana-5926	101	2	models	model	NOUN
cana-5926	101	3	often	often	ADV
cana-5926	101	4	rely	rely	VERB
cana-5926	101	5	on	on	ADP
cana-5926	101	6	deterministic	deterministic	ADJ
cana-5926	101	7	forecasts	forecast	NOUN
cana-5926	101	8	or	or	CCONJ
cana-5926	101	9	fixed	fix	VERB
cana-5926	101	10	intervals	interval	NOUN
cana-5926	101	11	.	.	PUNCT
cana-5926	102	1	by	by	ADP
cana-5926	102	2	using	use	VERB
cana-5926	102	3	zbdistributed	zbdistribute	VERB
cana-5926	102	4	returns	return	NOUN
cana-5926	102	5	,	,	PUNCT
cana-5926	102	6	analysts	analyst	NOUN
cana-5926	102	7	can	can	AUX
cana-5926	102	8	generate	generate	VERB
cana-5926	102	9	neutrosophic	neutrosophic	ADJ
cana-5926	102	10	credibility	credibility	NOUN
cana-5926	102	11	bounds	bound	VERB
cana-5926	102	12	that	that	PRON
cana-5926	102	13	account	account	VERB
cana-5926	102	14	for	for	ADP
cana-5926	102	15	epistemic	epistemic	ADJ
cana-5926	102	16	uncertainty	uncertainty	NOUN
cana-5926	102	17	and	and	CCONJ
cana-5926	102	18	ambiguity	ambiguity	NOUN
cana-5926	102	19	.	.	PUNCT
cana-5926	103	1	portfolio	portfolio	NOUN
cana-5926	103	2	managers	manager	NOUN
cana-5926	103	3	can	can	AUX
cana-5926	103	4	evaluate	evaluate	VERB
cana-5926	103	5	exposure	exposure	NOUN
cana-5926	103	6	under	under	ADP
cana-5926	103	7	different	different	ADJ
cana-5926	103	8	zones	zone	NOUN
cana-5926	103	9	:	:	PUNCT
cana-5926	103	10	truth	truth	NOUN
cana-5926	103	11	-	-	PUNCT
cana-5926	103	12	dominant	dominant	NOUN
cana-5926	103	13	zones	zone	NOUN
cana-5926	103	14	:	:	PUNCT
cana-5926	103	15	indicate	indicate	VERB
cana-5926	103	16	stable	stable	ADJ
cana-5926	103	17	asset	asset	NOUN
cana-5926	103	18	behavior	behavior	NOUN
cana-5926	103	19	with	with	ADP
cana-5926	103	20	high	high	ADJ
cana-5926	103	21	confidence	confidence	NOUN
cana-5926	103	22	indeterminate	indeterminate	ADJ
cana-5926	103	23	zones	zone	NOUN
cana-5926	103	24	:	:	PUNCT
cana-5926	103	25	signal	signal	ADJ
cana-5926	103	26	uncertainty	uncertainty	NOUN
cana-5926	103	27	or	or	CCONJ
cana-5926	103	28	model	model	NOUN
cana-5926	103	29	ambiguity	ambiguity	NOUN
cana-5926	103	30	falsity	falsity	NOUN
cana-5926	103	31	-	-	PUNCT
cana-5926	103	32	dominant	dominant	ADJ
cana-5926	103	33	zones	zone	NOUN
cana-5926	103	34	:	:	PUNCT
cana-5926	103	35	warn	warn	VERB
cana-5926	103	36	against	against	ADP
cana-5926	103	37	overconfident	overconfident	ADJ
cana-5926	103	38	projections	projection	NOUN
cana-5926	103	39	this	this	DET
cana-5926	103	40	approach	approach	NOUN
cana-5926	103	41	enhances	enhance	VERB
cana-5926	103	42	decision	decision	NOUN
cana-5926	103	43	support	support	NOUN
cana-5926	103	44	in	in	ADP
cana-5926	103	45	risk	risk	NOUN
cana-5926	103	46	-	-	PUNCT
cana-5926	103	47	sensitive	sensitive	ADJ
cana-5926	103	48	environments	environment	NOUN
cana-5926	103	49	.	.	PUNCT
cana-5926	104	1	key	key	ADJ
cana-5926	104	2	benefits	benefit	NOUN
cana-5926	104	3	of	of	ADP
cana-5926	104	4	the	the	DET
cana-5926	104	5	zb	zb	PROPN
cana-5926	104	6	–	–	PUNCT
cana-5926	104	7	neutrosophic	neutrosophic	ADJ
cana-5926	104	8	framework	framework	NOUN
cana-5926	104	9	model	model	NOUN
cana-5926	104	10	flexibility	flexibility	NOUN
cana-5926	104	11	:	:	PUNCT
cana-5926	104	12	a	a	DET
cana-5926	104	13	single	single	ADJ
cana-5926	104	14	parameter	parameter	NOUN
cana-5926	104	15	𝜃governs	𝜃govern	VERB
cana-5926	104	16	tail	tail	NOUN
cana-5926	104	17	behavior	behavior	NOUN
cana-5926	104	18	,	,	PUNCT
cana-5926	104	19	adapting	adapt	VERB
cana-5926	104	20	to	to	PART
cana-5926	104	21	diverse	diverse	VERB
cana-5926	104	22	financial	financial	ADJ
cana-5926	104	23	contexts	contexts	NOUN
cana-5926	104	24	.	.	PUNCT
cana-5926	105	1	hybrid	hybrid	ADJ
cana-5926	105	2	uncertainty	uncertainty	NOUN
cana-5926	105	3	handling	handling	NOUN
cana-5926	105	4	:	:	PUNCT
cana-5926	105	5	neutrosophiclogic	neutrosophiclogic	NOUN
cana-5926	105	6	capture	capture	VERB
cana-5926	105	7	spatial	spatial	ADJ
cana-5926	105	8	truth	truth	NOUN
cana-5926	105	9	,	,	PUNCT
cana-5926	105	10	indeterminacy	indeterminacy	NOUN
cana-5926	105	11	,	,	PUNCT
cana-5926	105	12	and	and	CCONJ
cana-5926	105	13	falsity	falsity	NOUN
cana-5926	105	14	beyond	beyond	ADP
cana-5926	105	15	classical	classical	ADJ
cana-5926	105	16	probability	probability	NOUN
cana-5926	105	17	.	.	PUNCT
cana-5926	106	1	credibility	credibility	NOUN
cana-5926	106	2	-	-	PUNCT
cana-5926	106	3	driven	drive	VERB
cana-5926	106	4	reasoning	reasoning	NOUN
cana-5926	106	5	:	:	PUNCT
cana-5926	106	6	bounds	bound	NOUN
cana-5926	106	7	reflect	reflect	VERB
cana-5926	106	8	institutional	institutional	ADJ
cana-5926	106	9	belief	belief	NOUN
cana-5926	106	10	levels	level	NOUN
cana-5926	106	11	and	and	CCONJ
cana-5926	106	12	tolerance	tolerance	NOUN
cana-5926	106	13	for	for	ADP
cana-5926	106	14	ambiguity	ambiguity	NOUN
cana-5926	106	15	.	.	PUNCT
cana-5926	107	1	from	from	ADP
cana-5926	107	2	insurance	insurance	NOUN
cana-5926	107	3	claims	claim	NOUN
cana-5926	107	4	to	to	ADP
cana-5926	107	5	asset	asset	NOUN
cana-5926	107	6	volatility	volatility	NOUN
cana-5926	107	7	and	and	CCONJ
cana-5926	107	8	credit	credit	NOUN
cana-5926	107	9	segmentation	segmentation	NOUN
cana-5926	107	10	,	,	PUNCT
cana-5926	107	11	the	the	DET
cana-5926	107	12	zb	zb	PROPN
cana-5926	107	13	neutrosophic	neutrosophic	ADJ
cana-5926	107	14	framework	framework	NOUN
cana-5926	107	15	offers	offer	VERB
cana-5926	107	16	a	a	DET
cana-5926	107	17	transparent	transparent	ADJ
cana-5926	107	18	and	and	CCONJ
cana-5926	107	19	mathematically	mathematically	ADV
cana-5926	107	20	sound	sound	ADJ
cana-5926	107	21	alternative	alternative	NOUN
cana-5926	107	22	for	for	ADP
cana-5926	107	23	modeling	model	VERB
cana-5926	107	24	financial	financial	ADJ
cana-5926	107	25	uncertainty.conclusion	uncertainty.conclusion	NOUN
cana-5926	107	26	and	and	CCONJ
cana-5926	107	27	perspectives	perspective	NOUN
cana-5926	107	28	in	in	ADP
cana-5926	107	29	this	this	DET
cana-5926	107	30	study	study	NOUN
cana-5926	107	31	,	,	PUNCT
cana-5926	107	32	we	we	PRON
cana-5926	107	33	introduced	introduce	VERB
cana-5926	107	34	and	and	CCONJ
cana-5926	107	35	investigated	investigate	VERB
cana-5926	107	36	the	the	DET
cana-5926	107	37	zb	zb	NOUN
cana-5926	107	38	distribution	distribution	NOUN
cana-5926	107	39	defined	define	VERB
cana-5926	107	40	as	as	ADP
cana-5926	107	41	a	a	DET
cana-5926	107	42	mixture	mixture	NOUN
cana-5926	107	43	of	of	ADP
cana-5926	107	44	exponential	exponential	NOUN
cana-5926	107	45	and	and	CCONJ
cana-5926	107	46	gamma	gamma	NOUN
cana-5926	107	47	components	component	NOUN
cana-5926	107	48	as	as	ADP
cana-5926	107	49	a	a	DET
cana-5926	107	50	flexible	flexible	ADJ
cana-5926	107	51	model	model	NOUN
cana-5926	107	52	for	for	ADP
cana-5926	107	53	capturing	capture	VERB
cana-5926	107	54	diverse	diverse	ADJ
cana-5926	107	55	behaviors	behavior	NOUN
cana-5926	107	56	such	such	ADJ
cana-5926	107	57	as	as	ADP
cana-5926	107	58	exponential	exponential	ADJ
cana-5926	107	59	decay	decay	NOUN
cana-5926	107	60	and	and	CCONJ
cana-5926	107	61	heavy	heavy	ADJ
cana-5926	107	62	tails	tail	NOUN
cana-5926	107	63	.	.	PUNCT
cana-5926	108	1	its	its	PRON
cana-5926	108	2	simplicity	simplicity	NOUN
cana-5926	108	3	,	,	PUNCT
cana-5926	108	4	governed	govern	VERB
cana-5926	108	5	by	by	ADP
cana-5926	108	6	a	a	DET
cana-5926	108	7	single	single	ADJ
cana-5926	108	8	parameter	parameter	NOUN
cana-5926	108	9	𝜃	𝜃	NOUN
cana-5926	108	10	,	,	PUNCT
cana-5926	108	11	makes	make	VERB
cana-5926	108	12	it	it	PRON
cana-5926	108	13	a	a	DET
cana-5926	108	14	versatile	versatile	ADJ
cana-5926	108	15	candidate	candidate	NOUN
cana-5926	108	16	for	for	ADP
cana-5926	108	17	modeling	model	VERB
cana-5926	108	18	uncertain	uncertain	ADJ
cana-5926	108	19	or	or	CCONJ
cana-5926	108	20	skewed	skewed	ADJ
cana-5926	108	21	data	datum	NOUN
cana-5926	108	22	in	in	ADP
cana-5926	108	23	a	a	DET
cana-5926	108	24	range	range	NOUN
cana-5926	108	25	of	of	ADP
cana-5926	108	26	practical	practical	ADJ
cana-5926	108	27	domains	domain	NOUN
cana-5926	108	28	.	.	PUNCT
cana-5926	109	1	we	we	PRON
cana-5926	109	2	extended	extend	VERB
cana-5926	109	3	the	the	DET
cana-5926	109	4	classical	classical	ADJ
cana-5926	109	5	probabilistic	probabilistic	ADJ
cana-5926	109	6	analysis	analysis	NOUN
cana-5926	109	7	by	by	ADP
cana-5926	109	8	integrating	integrate	VERB
cana-5926	109	9	the	the	DET
cana-5926	109	10	zb	zb	NOUN
cana-5926	109	11	distribution	distribution	NOUN
cana-5926	109	12	within	within	ADP
cana-5926	109	13	a	a	DET
cana-5926	109	14	neutrosophic	neutrosophic	ADJ
cana-5926	109	15	credibility	credibility	NOUN
cana-5926	109	16	framework	framework	NOUN
cana-5926	109	17	.	.	PUNCT
cana-5926	110	1	this	this	DET
cana-5926	110	2	hybrid	hybrid	ADJ
cana-5926	110	3	approach	approach	NOUN
cana-5926	110	4	allows	allow	VERB
cana-5926	110	5	for	for	ADP
cana-5926	110	6	the	the	DET
cana-5926	110	7	explicit	explicit	ADJ
cana-5926	110	8	treatment	treatment	NOUN
cana-5926	110	9	of	of	ADP
cana-5926	110	10	uncertainty	uncertainty	NOUN
cana-5926	110	11	through	through	ADP
cana-5926	110	12	three	three	NUM
cana-5926	110	13	components	component	NOUN
cana-5926	110	14	:	:	PUNCT
cana-5926	110	15	truth	truth	NOUN
cana-5926	110	16	,	,	PUNCT
cana-5926	110	17	indeterminacy	indeterminacy	NOUN
cana-5926	110	18	,	,	PUNCT
cana-5926	110	19	and	and	CCONJ
cana-5926	110	20	falsity	falsity	NOUN
cana-5926	110	21	.	.	PUNCT
cana-5926	111	1	closed	close	VERB
cana-5926	111	2	-	-	PUNCT
cana-5926	111	3	form	form	NOUN
cana-5926	111	4	expressions	expression	NOUN
cana-5926	111	5	for	for	ADP
cana-5926	111	6	the	the	DET
cana-5926	111	7	probability	probability	NOUN
cana-5926	111	8	density	density	NOUN
cana-5926	111	9	function	function	NOUN
cana-5926	111	10	,	,	PUNCT
cana-5926	111	11	cumulative	cumulative	ADJ
cana-5926	111	12	distribution	distribution	NOUN
cana-5926	111	13	function	function	NOUN
cana-5926	111	14	,	,	PUNCT
cana-5926	111	15	survival	survival	NOUN
cana-5926	111	16	function	function	NOUN
cana-5926	111	17	,	,	PUNCT
cana-5926	111	18	and	and	CCONJ
cana-5926	111	19	hazard	hazard	NOUN
cana-5926	111	20	function	function	NOUN
cana-5926	111	21	of	of	ADP
cana-5926	111	22	the	the	DET
cana-5926	111	23	zb	zb	NOUN
cana-5926	111	24	distribution	distribution	NOUN
cana-5926	111	25	were	be	AUX
cana-5926	111	26	derived	derive	VERB
cana-5926	111	27	and	and	CCONJ
cana-5926	111	28	used	use	VERB
cana-5926	111	29	to	to	PART
cana-5926	111	30	construct	construct	VERB
cana-5926	111	31	neutrosophic	neutrosophic	ADJ
cana-5926	111	32	credibility	credibility	NOUN
cana-5926	111	33	bounds	bound	NOUN
cana-5926	111	34	(	(	PUNCT
cana-5926	111	35	ncbs	ncbs	NOUN
cana-5926	111	36	)	)	PUNCT
cana-5926	111	37	.	.	PUNCT
cana-5926	112	1	through	through	ADP
cana-5926	112	2	analytical	analytical	ADJ
cana-5926	112	3	derivations	derivation	NOUN
cana-5926	112	4	,	,	PUNCT
cana-5926	112	5	simulation	simulation	NOUN
cana-5926	112	6	studies	study	NOUN
cana-5926	112	7	,	,	PUNCT
cana-5926	112	8	and	and	CCONJ
cana-5926	112	9	applied	apply	VERB
cana-5926	112	10	financial	financial	ADJ
cana-5926	112	11	examples	example	NOUN
cana-5926	112	12	,	,	PUNCT
cana-5926	112	13	we	we	PRON
cana-5926	112	14	demonstrated	demonstrate	VERB
cana-5926	112	15	the	the	DET
cana-5926	112	16	practical	practical	ADJ
cana-5926	112	17	relevance	relevance	NOUN
cana-5926	112	18	of	of	ADP
cana-5926	112	19	the	the	DET
cana-5926	112	20	proposed	propose	VERB
cana-5926	112	21	model	model	NOUN
cana-5926	112	22	.	.	PUNCT
cana-5926	113	1	the	the	DET
cana-5926	113	2	zb	zb	PROPN
cana-5926	113	3	–	–	PUNCT
cana-5926	113	4	neutrosophic	neutrosophic	ADJ
cana-5926	113	5	framework	framework	NOUN
cana-5926	113	6	provided	provide	VERB
cana-5926	113	7	interpretable	interpretable	ADJ
cana-5926	113	8	and	and	CCONJ
cana-5926	113	9	adaptive	adaptive	ADJ
cana-5926	113	10	interval	interval	NOUN
cana-5926	113	11	estimates	estimate	NOUN
cana-5926	113	12	under	under	ADP
cana-5926	113	13	both	both	CCONJ
cana-5926	113	14	epistemic	epistemic	ADJ
cana-5926	113	15	and	and	CCONJ
cana-5926	113	16	aleatory	aleatory	ADJ
cana-5926	113	17	uncertainty	uncertainty	NOUN
cana-5926	113	18	,	,	PUNCT
cana-5926	113	19	making	make	VERB
cana-5926	113	20	it	it	PRON
cana-5926	113	21	particularly	particularly	ADV
cana-5926	113	22	useful	useful	ADJ
cana-5926	113	23	in	in	ADP
cana-5926	113	24	finance	finance	NOUN
cana-5926	113	25	,	,	PUNCT
cana-5926	113	26	insurance	insurance	NOUN
cana-5926	113	27	,	,	PUNCT
cana-5926	113	28	and	and	CCONJ
cana-5926	113	29	credit	credit	NOUN
cana-5926	113	30	risk	risk	NOUN
cana-5926	113	31	analysis	analysis	NOUN
cana-5926	113	32	.	.	PUNCT
cana-5926	114	1	communications	communication	NOUN
cana-5926	114	2	on	on	ADP
cana-5926	114	3	applied	apply	VERB
cana-5926	114	4	nonlinear	nonlinear	ADJ
cana-5926	114	5	analysis	analysis	NOUN
cana-5926	114	6	issn	issn	NOUN
cana-5926	114	7	:	:	PUNCT
cana-5926	114	8	1074	1074	NUM
cana-5926	114	9	-	-	PUNCT
cana-5926	114	10	133x	133x	NUM
cana-5926	114	11	vol	vol	VERB
cana-5926	114	12	32	32	NUM
cana-5926	114	13	no	no	NOUN
cana-5926	114	14	.	.	PUNCT
cana-5926	115	1	10s	10	NOUN
cana-5926	115	2	(	(	PUNCT
cana-5926	115	3	2025	2025	NUM
cana-5926	115	4	)	)	PUNCT
cana-5926	115	5	3060	3060	NUM
cana-5926	115	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	116	1	the	the	DET
cana-5926	116	2	findings	finding	NOUN
cana-5926	116	3	in	in	ADP
cana-5926	116	4	this	this	DET
cana-5926	116	5	paper	paper	NOUN
cana-5926	116	6	open	open	VERB
cana-5926	116	7	several	several	ADJ
cana-5926	116	8	avenues	avenue	NOUN
cana-5926	116	9	for	for	ADP
cana-5926	116	10	future	future	ADJ
cana-5926	116	11	research	research	NOUN
cana-5926	116	12	:	:	PUNCT
cana-5926	116	13	bayesian	bayesian	NOUN
cana-5926	116	14	inference	inference	NOUN
cana-5926	116	15	:	:	PUNCT
cana-5926	116	16	develop	develop	VERB
cana-5926	116	17	bayesian	bayesian	NOUN
cana-5926	116	18	estimation	estimation	NOUN
cana-5926	116	19	techniques	technique	NOUN
cana-5926	116	20	for	for	ADP
cana-5926	116	21	the	the	DET
cana-5926	116	22	zb	zb	PROPN
cana-5926	116	23	parameters	parameter	NOUN
cana-5926	116	24	using	use	VERB
cana-5926	116	25	prior	prior	ADJ
cana-5926	116	26	beliefs	belief	NOUN
cana-5926	116	27	and	and	CCONJ
cana-5926	116	28	credibility	credibility	NOUN
cana-5926	116	29	weights	weight	VERB
cana-5926	116	30	under	under	ADP
cana-5926	116	31	uncertainty	uncertainty	NOUN
cana-5926	116	32	.	.	PUNCT
cana-5926	117	1	multivariate	multivariate	NOUN
cana-5926	117	2	extensions	extension	NOUN
cana-5926	117	3	:	:	PUNCT
cana-5926	117	4	extend	extend	VERB
cana-5926	117	5	the	the	DET
cana-5926	117	6	zb	zb	NOUN
cana-5926	117	7	distribution	distribution	NOUN
cana-5926	117	8	to	to	ADP
cana-5926	117	9	the	the	DET
cana-5926	117	10	multivariate	multivariate	NOUN
cana-5926	117	11	setting	setting	NOUN
cana-5926	117	12	,	,	PUNCT
cana-5926	117	13	potentially	potentially	ADV
cana-5926	117	14	capturing	capture	VERB
cana-5926	117	15	joint	joint	ADJ
cana-5926	117	16	behavior	behavior	NOUN
cana-5926	117	17	in	in	ADP
cana-5926	117	18	portfolio	portfolio	NOUN
cana-5926	117	19	models	model	NOUN
cana-5926	117	20	reclaimed	reclaim	VERB
cana-5926	117	21	pendency	pendency	NOUN
cana-5926	117	22	’s	’s	NOUN
cana-5926	117	23	.	.	PUNCT
cana-5926	118	1	goodness	goodness	NOUN
cana-5926	118	2	-	-	PUNCT
cana-5926	118	3	of	of	ADP
cana-5926	118	4	-	-	PUNCT
cana-5926	118	5	fit	fit	ADJ
cana-5926	118	6	testing	testing	NOUN
cana-5926	118	7	:	:	PUNCT
cana-5926	118	8	propose	propose	VERB
cana-5926	118	9	and	and	CCONJ
cana-5926	118	10	validate	validate	VERB
cana-5926	118	11	neutrosophic	neutrosophic	ADJ
cana-5926	118	12	-	-	PUNCT
cana-5926	118	13	based	base	VERB
cana-5926	118	14	tests	test	NOUN
cana-5926	118	15	to	to	PART
cana-5926	118	16	assess	assess	VERB
cana-5926	118	17	the	the	DET
cana-5926	118	18	adequacy	adequacy	NOUN
cana-5926	118	19	of	of	ADP
cana-5926	118	20	the	the	DET
cana-5926	118	21	zb	zb	PROPN
cana-5926	118	22	model	model	NOUN
cana-5926	118	23	in	in	ADP
cana-5926	118	24	real	real	ADJ
cana-5926	118	25	-	-	PUNCT
cana-5926	118	26	world	world	NOUN
cana-5926	118	27	datasets	dataset	NOUN
cana-5926	118	28	.	.	PUNCT
cana-5926	119	1	parameter	parameter	PROPN
cana-5926	119	2	estimation	estimation	NOUN
cana-5926	119	3	under	under	ADP
cana-5926	119	4	partial	partial	ADJ
cana-5926	119	5	knowledge	knowledge	NOUN
cana-5926	119	6	:	:	PUNCT
cana-5926	119	7	incorporate	incorporate	VERB
cana-5926	119	8	fuzzy	fuzzy	ADJ
cana-5926	119	9	or	or	CCONJ
cana-5926	119	10	interval	interval	NOUN
cana-5926	119	11	-	-	PUNCT
cana-5926	119	12	valued	value	VERB
cana-5926	119	13	data	datum	NOUN
cana-5926	119	14	into	into	ADP
cana-5926	119	15	the	the	DET
cana-5926	119	16	estimation	estimation	NOUN
cana-5926	119	17	of	of	ADP
cana-5926	119	18	𝜃	𝜃	NOUN
cana-5926	119	19	and	and	CCONJ
cana-5926	119	20	other	other	ADJ
cana-5926	119	21	statistical	statistical	ADJ
cana-5926	119	22	measures	measure	NOUN
cana-5926	119	23	.	.	PUNCT
cana-5926	120	1	software	software	NOUN
cana-5926	120	2	implementation	implementation	NOUN
cana-5926	120	3	:	:	PUNCT
cana-5926	120	4	develop	develop	VERB
cana-5926	120	5	open	open	ADJ
cana-5926	120	6	-	-	PUNCT
cana-5926	120	7	source	source	NOUN
cana-5926	120	8	packages	package	NOUN
cana-5926	120	9	(	(	PUNCT
cana-5926	120	10	e.g.	e.g.	ADV
cana-5926	120	11	,	,	PUNCT
cana-5926	120	12	in	in	ADP
cana-5926	120	13	r	r	NOUN
cana-5926	120	14	or	or	CCONJ
cana-5926	120	15	python	python	NOUN
cana-5926	120	16	)	)	PUNCT
cana-5926	120	17	to	to	PART
cana-5926	120	18	make	make	VERB
cana-5926	120	19	the	the	DET
cana-5926	120	20	zb	zb	PROPN
cana-5926	120	21	–	–	PUNCT
cana-5926	120	22	ncb	ncb	NOUN
cana-5926	120	23	framework	framework	NOUN
cana-5926	120	24	accessible	accessible	ADJ
cana-5926	120	25	to	to	ADP
cana-5926	120	26	applied	apply	VERB
cana-5926	120	27	researchers	researcher	NOUN
cana-5926	120	28	and	and	CCONJ
cana-5926	120	29	practitioners	practitioner	NOUN
cana-5926	120	30	.	.	PUNCT
cana-5926	121	1	overall	overall	ADV
cana-5926	121	2	,	,	PUNCT
cana-5926	121	3	the	the	DET
cana-5926	121	4	integration	integration	NOUN
cana-5926	121	5	of	of	ADP
cana-5926	121	6	the	the	DET
cana-5926	121	7	zb	zb	NOUN
cana-5926	121	8	distribution	distribution	NOUN
cana-5926	121	9	with	with	ADP
cana-5926	121	10	neutrosophic	neutrosophic	ADJ
cana-5926	121	11	logic	logic	NOUN
cana-5926	121	12	and	and	CCONJ
cana-5926	121	13	credibility	credibility	NOUN
cana-5926	121	14	theory	theory	NOUN
cana-5926	121	15	offers	offer	VERB
cana-5926	121	16	a	a	DET
cana-5926	121	17	powerful	powerful	ADJ
cana-5926	121	18	,	,	PUNCT
cana-5926	121	19	transparent	transparent	ADJ
cana-5926	121	20	,	,	PUNCT
cana-5926	121	21	and	and	CCONJ
cana-5926	121	22	flexible	flexible	ADJ
cana-5926	121	23	approach	approach	NOUN
cana-5926	121	24	for	for	ADP
cana-5926	121	25	modeling	model	VERB
cana-5926	121	26	complex	complex	ADJ
cana-5926	121	27	uncertainties	uncertainty	NOUN
cana-5926	121	28	,	,	PUNCT
cana-5926	121	29	with	with	ADP
cana-5926	121	30	promising	promising	ADJ
cana-5926	121	31	applications	application	NOUN
cana-5926	121	32	across	across	ADP
cana-5926	121	33	multiple	multiple	ADJ
cana-5926	121	34	scientific	scientific	ADJ
cana-5926	121	35	and	and	CCONJ
cana-5926	121	36	engineering	engineering	NOUN
cana-5926	121	37	disciplines	discipline	NOUN
cana-5926	121	38	.	.	PUNCT
cana-5926	122	1	references	reference	NOUN
cana-5926	122	2	1	1	NUM
cana-5926	122	3	.	.	PUNCT
cana-5926	122	4	asgharzadeh	asgharzadeh	PROPN
cana-5926	122	5	,	,	PUNCT
cana-5926	122	6	a.	a.	NOUN
cana-5926	122	7	,	,	PUNCT
cana-5926	122	8	&	&	CCONJ
cana-5926	122	9	bakar	bakar	PROPN
cana-5926	122	10	,	,	PUNCT
cana-5926	122	11	h.	h.	PROPN
cana-5926	122	12	b.	b.	PROPN
cana-5926	122	13	(	(	PUNCT
cana-5926	122	14	2013	2013	NUM
cana-5926	122	15	)	)	PUNCT
cana-5926	122	16	.	.	PUNCT
cana-5926	123	1	pareto	pareto	VERB
cana-5926	123	2	,	,	PUNCT
cana-5926	123	3	poisson	poisson	NOUN
cana-5926	123	4	–	–	PUNCT
cana-5926	123	5	lindley	lindley	NOUN
cana-5926	123	6	distribution	distribution	NOUN
cana-5926	123	7	and	and	CCONJ
cana-5926	123	8	its	its	PRON
cana-5926	123	9	application	application	NOUN
cana-5926	123	10	.	.	PUNCT
cana-5926	124	1	journal	journal	PROPN
cana-5926	124	2	of	of	ADP
cana-5926	124	3	applied	applied	ADJ
cana-5926	124	4	statistics	statistic	NOUN
cana-5926	124	5	,	,	PUNCT
cana-5926	124	6	1–18	1–18	NUM
cana-5926	124	7	.	.	PUNCT
cana-5926	125	1	2	2	NUM
cana-5926	125	2	.	.	X
cana-5926	125	3	beghriche	beghriche	NOUN
cana-5926	125	4	,	,	PUNCT
cana-5926	125	5	a.	a.	PROPN
cana-5926	125	6	,	,	PUNCT
cana-5926	125	7	&	&	CCONJ
cana-5926	125	8	zeghdoudi	zeghdoudi	PROPN
cana-5926	125	9	,	,	PUNCT
cana-5926	125	10	h.	h.	PROPN
cana-5926	125	11	(	(	PUNCT
cana-5926	125	12	2019	2019	NUM
cana-5926	125	13	)	)	PUNCT
cana-5926	125	14	.	.	PUNCT
cana-5926	126	1	a	a	DET
cana-5926	126	2	size	size	NOUN
cana-5926	126	3	-	-	PUNCT
cana-5926	126	4	biased	biased	ADJ
cana-5926	126	5	gamma	gamma	NOUN
cana-5926	126	6	lindley	lindley	NOUN
cana-5926	126	7	distribution	distribution	NOUN
cana-5926	126	8	.	.	PUNCT
cana-5926	127	1	thailand	thailand	PROPN
cana-5926	127	2	statistician	statistician	PROPN
cana-5926	127	3	,	,	PUNCT
cana-5926	127	4	17(2	17(2	NUM
cana-5926	127	5	)	)	PUNCT
cana-5926	127	6	,	,	PUNCT
cana-5926	127	7	179–189	179–189	NUM
cana-5926	127	8	.	.	PUNCT
cana-5926	128	1	3	3	X
cana-5926	128	2	.	.	X
cana-5926	128	3	beghriche	beghriche	PROPN
cana-5926	128	4	,	,	PUNCT
cana-5926	128	5	a.	a.	NOUN
cana-5926	128	6	,	,	PUNCT
cana-5926	128	7	tashkandy	tashkandy	NOUN
cana-5926	128	8	,	,	PUNCT
cana-5926	128	9	y.	y.	PROPN
cana-5926	128	10	a.	a.	PROPN
cana-5926	128	11	,	,	PUNCT
cana-5926	128	12	bakr	bakr	PROPN
cana-5926	128	13	,	,	PUNCT
cana-5926	128	14	m.	m.	PROPN
cana-5926	128	15	e.	e.	PROPN
cana-5926	128	16	,	,	PUNCT
cana-5926	128	17	zeghdoudi	zeghdoudi	PROPN
cana-5926	128	18	,	,	PUNCT
cana-5926	128	19	h.	h.	PROPN
cana-5926	128	20	,	,	PUNCT
cana-5926	128	21	gemeay	gemeay	ADJ
cana-5926	128	22	,	,	PUNCT
cana-5926	128	23	a.	a.	NOUN
cana-5926	128	24	m.	m.	NOUN
cana-5926	128	25	,	,	PUNCT
cana-5926	128	26	hossain	hossain	PROPN
cana-5926	128	27	,	,	PUNCT
cana-5926	128	28	m.	m.	NOUN
cana-5926	128	29	m.	m.	NOUN
cana-5926	128	30	,	,	PUNCT
cana-5926	128	31	&	&	CCONJ
cana-5926	128	32	muse	muse	PROPN
cana-5926	128	33	,	,	PUNCT
cana-5926	128	34	a.	a.	PROPN
cana-5926	128	35	h.	h.	PROPN
cana-5926	128	36	(	(	PUNCT
cana-5926	128	37	2023	2023	NUM
cana-5926	128	38	)	)	PUNCT
cana-5926	128	39	.	.	PUNCT
cana-5926	129	1	the	the	DET
cana-5926	129	2	inverse	inverse	NOUN
cana-5926	129	3	xlindley	xlindley	ADJ
cana-5926	129	4	distribution	distribution	NOUN
cana-5926	129	5	:	:	PUNCT
cana-5926	129	6	properties	property	NOUN
cana-5926	129	7	and	and	CCONJ
cana-5926	129	8	application	application	NOUN
cana-5926	129	9	.	.	PUNCT
cana-5926	130	1	ieee	ieee	NOUN
cana-5926	130	2	access	access	NOUN
cana-5926	130	3	,	,	PUNCT
cana-5926	130	4	11	11	NUM
cana-5926	130	5	,	,	PUNCT
cana-5926	130	6	47272–47281	47272–47281	NUM
cana-5926	130	7	.	.	NOUN
cana-5926	131	1	4	4	NUM
cana-5926	131	2	.	.	X
cana-5926	131	3	benatallah	benatallah	ADJ
cana-5926	131	4	,	,	PUNCT
cana-5926	131	5	i.	i.	PROPN
cana-5926	131	6	n.	n.	PROPN
cana-5926	131	7	,	,	PUNCT
cana-5926	131	8	talhi	talhi	PROPN
cana-5926	131	9	,	,	PUNCT
cana-5926	131	10	h.	h.	PROPN
cana-5926	131	11	,	,	PUNCT
cana-5926	131	12	saaidia	saaidia	VERB
cana-5926	131	13	,	,	PUNCT
cana-5926	131	14	n.	n.	NOUN
cana-5926	131	15	,	,	PUNCT
cana-5926	131	16	&	&	CCONJ
cana-5926	131	17	zeghdoudi	zeghdoudi	NOUN
cana-5926	131	18	,	,	PUNCT
cana-5926	131	19	h.	h.	PROPN
cana-5926	131	20	(	(	PUNCT
cana-5926	131	21	2025	2025	NUM
cana-5926	131	22	)	)	PUNCT
cana-5926	131	23	.	.	PUNCT
cana-5926	132	1	on	on	ADP
cana-5926	132	2	xexponential	xexponential	ADJ
cana-5926	132	3	distribution	distribution	NOUN
cana-5926	132	4	:	:	PUNCT
cana-5926	132	5	properties	property	NOUN
cana-5926	132	6	,	,	PUNCT
cana-5926	132	7	bayesian	bayesian	NOUN
cana-5926	132	8	estimation	estimation	NOUN
cana-5926	132	9	,	,	PUNCT
cana-5926	132	10	goodness	goodness	NOUN
cana-5926	132	11	-	-	PUNCT
cana-5926	132	12	of	of	ADP
cana-5926	132	13	-	-	PUNCT
cana-5926	132	14	fit	fit	NOUN
cana-5926	132	15	test	test	NOUN
cana-5926	132	16	and	and	CCONJ
cana-5926	132	17	application	application	NOUN
cana-5926	132	18	.	.	PUNCT
cana-5926	133	1	studies	study	NOUN
cana-5926	133	2	in	in	ADP
cana-5926	133	3	science	science	NOUN
cana-5926	133	4	of	of	ADP
cana-5926	133	5	science	science	NOUN
cana-5926	133	6	,	,	PUNCT
cana-5926	133	7	43(3	43(3	NUM
cana-5926	133	8	)	)	PUNCT
cana-5926	133	9	,	,	PUNCT
cana-5926	133	10	42–63	42–63	NUM
cana-5926	133	11	.	.	PUNCT
cana-5926	134	1	issn	issn	PROPN
cana-5926	134	2	:	:	PUNCT
cana-5926	134	3	1003	1003	NUM
cana-5926	134	4	-	-	SYM
cana-5926	134	5	2053	2053	NUM
cana-5926	134	6	.	.	PUNCT
cana-5926	135	1	5	5	X
cana-5926	135	2	.	.	X
cana-5926	135	3	chouia	chouia	PROPN
cana-5926	135	4	,	,	PUNCT
cana-5926	135	5	s.	s.	PROPN
cana-5926	135	6	,	,	PUNCT
cana-5926	135	7	&	&	CCONJ
cana-5926	135	8	zeghdoudi	zeghdoudi	PROPN
cana-5926	135	9	,	,	PUNCT
cana-5926	135	10	h.	h.	PROPN
cana-5926	135	11	(	(	PUNCT
cana-5926	135	12	2021	2021	NUM
cana-5926	135	13	)	)	PUNCT
cana-5926	135	14	.	.	PUNCT
cana-5926	136	1	the	the	DET
cana-5926	136	2	xlindley	xlindley	ADJ
cana-5926	136	3	distribution	distribution	NOUN
cana-5926	136	4	:	:	PUNCT
cana-5926	136	5	properties	property	NOUN
cana-5926	136	6	and	and	CCONJ
cana-5926	136	7	application	application	NOUN
cana-5926	136	8	.	.	PUNCT
cana-5926	137	1	journal	journal	NOUN
cana-5926	137	2	of	of	ADP
cana-5926	137	3	statistical	statistical	ADJ
cana-5926	137	4	theory	theory	NOUN
cana-5926	137	5	and	and	CCONJ
cana-5926	137	6	applications	application	NOUN
cana-5926	137	7	,	,	PUNCT
cana-5926	137	8	20(2	20(2	NUM
cana-5926	137	9	)	)	PUNCT
cana-5926	137	10	,	,	PUNCT
cana-5926	137	11	318–327	318–327	NUM
cana-5926	137	12	.	.	PUNCT
cana-5926	138	1	6	6	NUM
cana-5926	138	2	.	.	X
cana-5926	138	3	ghitany	ghitany	NOUN
cana-5926	138	4	,	,	PUNCT
cana-5926	138	5	m.	m.	PROPN
cana-5926	138	6	e.	e.	PROPN
cana-5926	138	7	,	,	PUNCT
cana-5926	138	8	al	al	PROPN
cana-5926	138	9	-	-	PUNCT
cana-5926	138	10	mutairi	mutairi	PROPN
cana-5926	138	11	,	,	PUNCT
cana-5926	138	12	d.	d.	PROPN
cana-5926	138	13	k.	k.	PROPN
cana-5926	138	14	,	,	PUNCT
cana-5926	138	15	balakrishnan	balakrishnan	PROPN
cana-5926	138	16	,	,	PUNCT
cana-5926	138	17	n.	n.	PROPN
cana-5926	138	18	,	,	PUNCT
cana-5926	138	19	&	&	CCONJ
cana-5926	138	20	al	al	PROPN
cana-5926	138	21	-	-	PUNCT
cana-5926	138	22	enezi	enezi	PROPN
cana-5926	138	23	,	,	PUNCT
cana-5926	138	24	l.	l.	PROPN
cana-5926	138	25	j.	j.	PROPN
cana-5926	138	26	(	(	PUNCT
cana-5926	138	27	2008a	2008a	NUM
cana-5926	138	28	)	)	PUNCT
cana-5926	138	29	.	.	PUNCT
cana-5926	139	1	zerotruncated	zerotruncate	VERB
cana-5926	139	2	poisson	poisson	PROPN
cana-5926	139	3	–	–	PUNCT
cana-5926	139	4	lindley	lindley	NOUN
cana-5926	139	5	distribution	distribution	NOUN
cana-5926	139	6	and	and	CCONJ
cana-5926	139	7	its	its	PRON
cana-5926	139	8	application	application	NOUN
cana-5926	139	9	.	.	PUNCT
cana-5926	140	1	mathematics	mathematic	NOUN
cana-5926	140	2	and	and	CCONJ
cana-5926	140	3	computers	computer	NOUN
cana-5926	140	4	in	in	ADP
cana-5926	140	5	simulation	simulation	NOUN
cana-5926	140	6	,	,	PUNCT
cana-5926	140	7	79	79	NUM
cana-5926	140	8	,	,	PUNCT
cana-5926	140	9	279–287	279–287	NUM
cana-5926	140	10	.	.	PUNCT
cana-5926	141	1	7	7	X
cana-5926	141	2	.	.	X
cana-5926	141	3	ghitany	ghitany	NOUN
cana-5926	141	4	,	,	PUNCT
cana-5926	141	5	m.	m.	PROPN
cana-5926	141	6	e.	e.	PROPN
cana-5926	141	7	,	,	PUNCT
cana-5926	141	8	atieh	atieh	PROPN
cana-5926	141	9	,	,	PUNCT
cana-5926	141	10	b.	b.	PROPN
cana-5926	141	11	,	,	PUNCT
cana-5926	141	12	&	&	CCONJ
cana-5926	141	13	nadarajah	nadarajah	PROPN
cana-5926	141	14	,	,	PUNCT
cana-5926	141	15	s.	s.	PROPN
cana-5926	141	16	(	(	PUNCT
cana-5926	141	17	2008b	2008b	NUM
cana-5926	141	18	)	)	PUNCT
cana-5926	141	19	.	.	PUNCT
cana-5926	142	1	lindley	lindley	NOUN
cana-5926	142	2	distribution	distribution	NOUN
cana-5926	142	3	and	and	CCONJ
cana-5926	142	4	its	its	PRON
cana-5926	142	5	applications	application	NOUN
cana-5926	142	6	.	.	PUNCT
cana-5926	143	1	mathematics	mathematic	NOUN
cana-5926	143	2	and	and	CCONJ
cana-5926	143	3	computers	computer	NOUN
cana-5926	143	4	in	in	ADP
cana-5926	143	5	simulation	simulation	NOUN
cana-5926	143	6	,	,	PUNCT
cana-5926	143	7	78	78	NUM
cana-5926	143	8	,	,	PUNCT
cana-5926	143	9	493–506	493–506	NUM
cana-5926	143	10	.	.	NOUN
cana-5926	143	11	8	8	NUM
cana-5926	143	12	.	.	X
cana-5926	144	1	gupta	gupta	PROPN
cana-5926	144	2	,	,	PUNCT
cana-5926	144	3	r.	r.	PROPN
cana-5926	144	4	d.	d.	PROPN
cana-5926	144	5	,	,	PUNCT
cana-5926	144	6	&	&	CCONJ
cana-5926	144	7	kundu	kundu	PROPN
cana-5926	144	8	,	,	PUNCT
cana-5926	144	9	d.	d.	PROPN
cana-5926	144	10	(	(	PUNCT
cana-5926	144	11	2014	2014	NUM
cana-5926	144	12	)	)	PUNCT
cana-5926	144	13	.	.	PUNCT
cana-5926	145	1	a	a	DET
cana-5926	145	2	new	new	ADJ
cana-5926	145	3	class	class	NOUN
cana-5926	145	4	of	of	ADP
cana-5926	145	5	exponential	exponential	ADJ
cana-5926	145	6	distribution	distribution	NOUN
cana-5926	145	7	.	.	PUNCT
cana-5926	146	1	statistical	statistical	ADJ
cana-5926	146	2	papers	paper	NOUN
cana-5926	146	3	,	,	PUNCT
cana-5926	146	4	55(1	55(1	NOUN
cana-5926	146	5	)	)	PUNCT
cana-5926	146	6	,	,	PUNCT
cana-5926	146	7	79–93	79–93	NUM
cana-5926	146	8	.	.	NOUN
cana-5926	146	9	9	9	NUM
cana-5926	146	10	.	.	X
cana-5926	147	1	khodja	khodja	PROPN
cana-5926	147	2	,	,	PUNCT
cana-5926	147	3	n.	n.	NOUN
cana-5926	147	4	,	,	PUNCT
cana-5926	147	5	gemeay	gemeay	ADJ
cana-5926	147	6	,	,	PUNCT
cana-5926	147	7	a.	a.	NOUN
cana-5926	147	8	m.	m.	NOUN
cana-5926	147	9	,	,	PUNCT
cana-5926	147	10	zeghdoudi	zeghdoudi	NOUN
cana-5926	147	11	,	,	PUNCT
cana-5926	147	12	h.	h.	PROPN
cana-5926	147	13	,	,	PUNCT
cana-5926	147	14	karakaya	karakaya	PROPN
cana-5926	147	15	,	,	PUNCT
cana-5926	147	16	k.	k.	PROPN
cana-5926	147	17	,	,	PUNCT
cana-5926	147	18	alshangiti	alshangiti	PROPN
cana-5926	147	19	,	,	PUNCT
cana-5926	147	20	a.	a.	NOUN
cana-5926	147	21	m.	m.	NOUN
cana-5926	147	22	,	,	PUNCT
cana-5926	147	23	bakr	bakr	PROPN
cana-5926	147	24	,	,	PUNCT
cana-5926	147	25	m.	m.	PROPN
cana-5926	147	26	e.	e.	PROPN
cana-5926	147	27	,	,	PUNCT
cana-5926	147	28	...	...	PUNCT
cana-5926	147	29	&	&	CCONJ
cana-5926	147	30	hussam	hussam	PROPN
cana-5926	147	31	,	,	PUNCT
cana-5926	147	32	e.	e.	PROPN
cana-5926	147	33	(	(	PUNCT
cana-5926	147	34	2023	2023	NUM
cana-5926	147	35	)	)	PUNCT
cana-5926	147	36	.	.	PUNCT
cana-5926	148	1	modeling	model	VERB
cana-5926	148	2	voltage	voltage	NOUN
cana-5926	148	3	real	real	ADJ
cana-5926	148	4	data	datum	NOUN
cana-5926	148	5	set	set	VERB
cana-5926	148	6	by	by	ADP
cana-5926	148	7	a	a	DET
cana-5926	148	8	new	new	ADJ
cana-5926	148	9	version	version	NOUN
cana-5926	148	10	of	of	ADP
cana-5926	148	11	lindley	lindley	NOUN
cana-5926	148	12	distribution	distribution	NOUN
cana-5926	148	13	.	.	PUNCT
cana-5926	149	1	ieee	ieee	NOUN
cana-5926	149	2	access	access	NOUN
cana-5926	149	3	,	,	PUNCT
cana-5926	149	4	11	11	NUM
cana-5926	149	5	,	,	PUNCT
cana-5926	149	6	67220–67229	67220–67229	NUM
cana-5926	149	7	.	.	PUNCT
cana-5926	150	1	communications	communication	NOUN
cana-5926	150	2	on	on	ADP
cana-5926	150	3	applied	apply	VERB
cana-5926	150	4	nonlinear	nonlinear	ADJ
cana-5926	150	5	analysis	analysis	NOUN
cana-5926	150	6	issn	issn	NOUN
cana-5926	150	7	:	:	PUNCT
cana-5926	150	8	1074	1074	NUM
cana-5926	150	9	-	-	PUNCT
cana-5926	150	10	133x	133x	NUM
cana-5926	150	11	vol	vol	VERB
cana-5926	150	12	32	32	NUM
cana-5926	150	13	no	no	NOUN
cana-5926	150	14	.	.	PUNCT
cana-5926	151	1	10s	10	NOUN
cana-5926	151	2	(	(	PUNCT
cana-5926	151	3	2025	2025	NUM
cana-5926	151	4	)	)	PUNCT
cana-5926	151	5	3061	3061	NUM
cana-5926	151	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5926	151	7	10	10	NUM
cana-5926	151	8	.	.	PUNCT
cana-5926	152	1	lindley	lindley	PROPN
cana-5926	152	2	,	,	PUNCT
cana-5926	152	3	d.	d.	PROPN
cana-5926	152	4	v.	v.	PROPN
cana-5926	152	5	(	(	PUNCT
cana-5926	152	6	1958	1958	NUM
cana-5926	152	7	)	)	PUNCT
cana-5926	152	8	.	.	PUNCT
cana-5926	153	1	fiducial	fiducial	ADJ
cana-5926	153	2	distributions	distribution	NOUN
cana-5926	153	3	and	and	CCONJ
cana-5926	153	4	bayes	bayes	PROPN
cana-5926	153	5	’	'	PUNCT
cana-5926	153	6	theorem	theorem	PROPN
cana-5926	153	7	.	.	PROPN
cana-5926	153	8	journal	journal	PROPN
cana-5926	153	9	of	of	ADP
cana-5926	153	10	the	the	DET
cana-5926	153	11	royal	royal	ADJ
cana-5926	153	12	statistical	statistical	ADJ
cana-5926	153	13	society	society	NOUN
cana-5926	153	14	,	,	PUNCT
cana-5926	153	15	102–107	102–107	NUM
cana-5926	153	16	.	.	PUNCT
cana-5926	154	1	11	11	NUM
cana-5926	154	2	.	.	PUNCT
cana-5926	155	1	liu	liu	PROPN
cana-5926	155	2	,	,	PUNCT
cana-5926	155	3	b.	b.	PROPN
cana-5926	155	4	(	(	PUNCT
cana-5926	155	5	2004	2004	NUM
cana-5926	155	6	)	)	PUNCT
cana-5926	155	7	.	.	PUNCT
cana-5926	156	1	uncertainty	uncertainty	NOUN
cana-5926	156	2	theory	theory	NOUN
cana-5926	156	3	:	:	PUNCT
cana-5926	156	4	an	an	DET
cana-5926	156	5	introduction	introduction	NOUN
cana-5926	156	6	to	to	ADP
cana-5926	156	7	its	its	PRON
cana-5926	156	8	axiomatic	axiomatic	ADJ
cana-5926	156	9	foundations	foundation	NOUN
cana-5926	156	10	.	.	PUNCT
cana-5926	157	1	springer	springer	NOUN
cana-5926	157	2	.	.	PUNCT
cana-5926	158	1	12	12	NUM
cana-5926	158	2	.	.	PUNCT
cana-5926	159	1	lledó	lledó	PROPN
cana-5926	159	2	,	,	PUNCT
cana-5926	159	3	a.	a.	NOUN
cana-5926	159	4	,	,	PUNCT
cana-5926	159	5	&	&	CCONJ
cana-5926	159	6	pavía	pavía	ADJ
cana-5926	159	7	,	,	PUNCT
cana-5926	159	8	j.	j.	PROPN
cana-5926	159	9	m.	m.	PROPN
cana-5926	159	10	(	(	PUNCT
cana-5926	159	11	2005	2005	NUM
cana-5926	159	12	)	)	PUNCT
cana-5926	159	13	.	.	PUNCT
cana-5926	160	1	estimating	estimate	VERB
cana-5926	160	2	the	the	DET
cana-5926	160	3	premium	premium	NOUN
cana-5926	160	4	of	of	ADP
cana-5926	160	5	automobile	automobile	NOUN
cana-5926	160	6	insurance	insurance	NOUN
cana-5926	160	7	policies	policy	NOUN
cana-5926	160	8	:	:	PUNCT
cana-5926	160	9	credibility	credibility	NOUN
cana-5926	160	10	versus	versus	ADP
cana-5926	160	11	regression	regression	NOUN
cana-5926	160	12	techniques	technique	NOUN
cana-5926	160	13	.	.	PUNCT
cana-5926	161	1	insurance	insurance	NOUN
cana-5926	161	2	:	:	PUNCT
cana-5926	161	3	mathematics	mathematic	NOUN
cana-5926	161	4	and	and	CCONJ
cana-5926	161	5	economics	economic	NOUN
cana-5926	161	6	,	,	PUNCT
cana-5926	161	7	37(3	37(3	NUM
cana-5926	161	8	)	)	PUNCT
cana-5926	161	9	,	,	PUNCT
cana-5926	161	10	475–498	475–498	NUM
cana-5926	161	11	.	.	PUNCT
cana-5926	162	1	https://doi.org/10.1016/j.insmatheco.2005.05.004	https://doi.org/10.1016/j.insmatheco.2005.05.004	X
cana-5926	162	2	13	13	NUM
cana-5926	162	3	.	.	PUNCT
cana-5926	162	4	messaadia	messaadia	PROPN
cana-5926	162	5	,	,	PUNCT
cana-5926	162	6	h.	h.	PROPN
cana-5926	162	7	,	,	PUNCT
cana-5926	162	8	&	&	CCONJ
cana-5926	162	9	zeghdoudi	zeghdoudi	PROPN
cana-5926	162	10	,	,	PUNCT
cana-5926	162	11	h.	h.	PROPN
cana-5926	162	12	(	(	PUNCT
cana-5926	162	13	2018	2018	NUM
cana-5926	162	14	)	)	PUNCT
cana-5926	162	15	.	.	PUNCT
cana-5926	163	1	zeghdoudi	zeghdoudi	NOUN
cana-5926	163	2	distribution	distribution	NOUN
cana-5926	163	3	and	and	CCONJ
cana-5926	163	4	its	its	PRON
cana-5926	163	5	applications	application	NOUN
cana-5926	163	6	.	.	PUNCT
cana-5926	164	1	international	international	ADJ
cana-5926	164	2	journal	journal	PROPN
cana-5926	164	3	of	of	ADP
cana-5926	164	4	computing	compute	VERB
cana-5926	164	5	science	science	NOUN
cana-5926	164	6	and	and	CCONJ
cana-5926	164	7	mathematics	mathematic	NOUN
cana-5926	164	8	,	,	PUNCT
cana-5926	164	9	9(1	9(1	NUM
cana-5926	164	10	)	)	PUNCT
cana-5926	164	11	,	,	PUNCT
cana-5926	164	12	58–65	58–65	NUM
cana-5926	164	13	.	.	PUNCT
cana-5926	164	14	14	14	NUM
cana-5926	164	15	.	.	PUNCT
cana-5926	165	1	nedjar	nedjar	PROPN
cana-5926	165	2	,	,	PUNCT
cana-5926	165	3	s.	s.	PROPN
cana-5926	165	4	,	,	PUNCT
cana-5926	165	5	&	&	CCONJ
cana-5926	165	6	zeghdoudi	zeghdoudi	PROPN
cana-5926	165	7	,	,	PUNCT
cana-5926	165	8	h.	h.	PROPN
cana-5926	165	9	(	(	PUNCT
cana-5926	165	10	2016	2016	NUM
cana-5926	165	11	)	)	PUNCT
cana-5926	165	12	.	.	PUNCT
cana-5926	166	1	on	on	ADP
cana-5926	166	2	gamma	gamma	PROPN
cana-5926	166	3	lindley	lindley	PROPN
cana-5926	166	4	distribution	distribution	NOUN
cana-5926	166	5	:	:	PUNCT
cana-5926	166	6	properties	property	NOUN
cana-5926	166	7	and	and	CCONJ
cana-5926	166	8	simulations	simulation	NOUN
cana-5926	166	9	.	.	PUNCT
cana-5926	167	1	journal	journal	NOUN
cana-5926	167	2	of	of	ADP
cana-5926	167	3	computational	computational	ADJ
cana-5926	167	4	and	and	CCONJ
cana-5926	167	5	applied	applied	ADJ
cana-5926	167	6	mathematics	mathematic	NOUN
cana-5926	167	7	,	,	PUNCT
cana-5926	167	8	298	298	NUM
cana-5926	167	9	,	,	PUNCT
cana-5926	167	10	167–174	167–174	NUM
cana-5926	167	11	.	.	PUNCT
cana-5926	167	12	15	15	NUM
cana-5926	167	13	.	.	X
cana-5926	168	1	nedjar	nedjar	PROPN
cana-5926	168	2	,	,	PUNCT
cana-5926	168	3	s.	s.	PROPN
cana-5926	168	4	,	,	PUNCT
cana-5926	168	5	&	&	CCONJ
cana-5926	168	6	zeghdoudi	zeghdoudi	PROPN
cana-5926	168	7	,	,	PUNCT
cana-5926	168	8	h.	h.	PROPN
cana-5926	168	9	(	(	PUNCT
cana-5926	168	10	2017	2017	NUM
cana-5926	168	11	)	)	PUNCT
cana-5926	168	12	.	.	PUNCT
cana-5926	169	1	on	on	ADP
cana-5926	169	2	pseudo	pseudo	NOUN
cana-5926	169	3	lindley	lindley	NOUN
cana-5926	169	4	distribution	distribution	NOUN
cana-5926	169	5	:	:	PUNCT
cana-5926	169	6	properties	property	NOUN
cana-5926	169	7	and	and	CCONJ
cana-5926	169	8	applications	application	NOUN
cana-5926	169	9	.	.	PUNCT
cana-5926	170	1	new	new	ADJ
cana-5926	170	2	trends	trend	NOUN
cana-5926	170	3	in	in	ADP
cana-5926	170	4	mathematical	mathematical	ADJ
cana-5926	170	5	sciences	science	NOUN
cana-5926	170	6	,	,	PUNCT
cana-5926	170	7	5(1	5(1	NUM
cana-5926	170	8	)	)	PUNCT
cana-5926	170	9	,	,	PUNCT
cana-5926	170	10	59–65	59–65	NUM
cana-5926	170	11	.	.	PUNCT
cana-5926	170	12	16	16	NUM
cana-5926	170	13	.	.	PUNCT
cana-5926	171	1	sankaran	sankaran	NOUN
cana-5926	171	2	,	,	PUNCT
cana-5926	171	3	m.	m.	NOUN
cana-5926	171	4	(	(	PUNCT
cana-5926	171	5	1970	1970	NUM
cana-5926	171	6	)	)	PUNCT
cana-5926	171	7	.	.	PUNCT
cana-5926	172	1	the	the	DET
cana-5926	172	2	discrete	discrete	ADJ
cana-5926	172	3	poisson	poisson	NOUN
cana-5926	172	4	–	–	PUNCT
cana-5926	172	5	lindley	lindley	NOUN
cana-5926	172	6	distribution	distribution	NOUN
cana-5926	172	7	.	.	PUNCT
cana-5926	173	1	biometrics	biometric	NOUN
cana-5926	173	2	,	,	PUNCT
cana-5926	173	3	26(1	26(1	NUM
cana-5926	173	4	)	)	PUNCT
cana-5926	173	5	,	,	PUNCT
cana-5926	173	6	145	145	NUM
cana-5926	173	7	–	–	PUNCT
cana-5926	173	8	149	149	NUM
cana-5926	173	9	.	.	PUNCT
cana-5926	173	10	17	17	NUM
cana-5926	173	11	.	.	X
cana-5926	173	12	smarandache	smarandache	PROPN
cana-5926	173	13	,	,	PUNCT
cana-5926	173	14	f.	f.	PROPN
cana-5926	173	15	(	(	PUNCT
cana-5926	173	16	2005	2005	NUM
cana-5926	173	17	)	)	PUNCT
cana-5926	173	18	.	.	PUNCT
cana-5926	174	1	introduction	introduction	NOUN
cana-5926	174	2	to	to	ADP
cana-5926	174	3	neutrosophic	neutrosophic	ADJ
cana-5926	174	4	measure	measure	NOUN
cana-5926	174	5	,	,	PUNCT
cana-5926	174	6	neutrosophic	neutrosophic	ADJ
cana-5926	174	7	integral	integral	ADJ
cana-5926	174	8	and	and	CCONJ
cana-5926	174	9	neutrosophic	neutrosophic	ADJ
cana-5926	174	10	probability	probability	NOUN
cana-5926	174	11	.	.	PUNCT
cana-5926	175	1	american	american	PROPN
cana-5926	175	2	research	research	PROPN
cana-5926	175	3	press	press	PROPN
cana-5926	175	4	.	.	PUNCT
cana-5926	176	1	18	18	NUM
cana-5926	176	2	.	.	X
cana-5926	176	3	zeghdoudi	zeghdoudi	NOUN
cana-5926	176	4	,	,	PUNCT
cana-5926	176	5	h.	h.	PROPN
cana-5926	176	6	,	,	PUNCT
cana-5926	176	7	&	&	CCONJ
cana-5926	176	8	nedjar	nedjar	PROPN
cana-5926	176	9	,	,	PUNCT
cana-5926	176	10	s.	s.	PROPN
cana-5926	176	11	(	(	PUNCT
cana-5926	176	12	2016a	2016a	NUM
cana-5926	176	13	)	)	PUNCT
cana-5926	176	14	.	.	PUNCT
cana-5926	177	1	gamma	gamma	PROPN
cana-5926	177	2	lindley	lindley	NOUN
cana-5926	177	3	distribution	distribution	NOUN
cana-5926	177	4	and	and	CCONJ
cana-5926	177	5	its	its	PRON
cana-5926	177	6	application	application	NOUN
cana-5926	177	7	.	.	PUNCT
cana-5926	178	1	journal	journal	PROPN
cana-5926	178	2	of	of	ADP
cana-5926	178	3	applied	apply	VERB
cana-5926	178	4	probability	probability	NOUN
cana-5926	178	5	and	and	CCONJ
cana-5926	178	6	statistics	statistic	NOUN
cana-5926	178	7	,	,	PUNCT
cana-5926	178	8	11	11	NUM
cana-5926	178	9	,	,	PUNCT
cana-5926	178	10	129–138	129–138	NUM
cana-5926	178	11	.	.	PUNCT
cana-5926	179	1	19	19	NUM
cana-5926	179	2	.	.	X
cana-5926	179	3	zeghdoudi	zeghdoudi	NOUN
cana-5926	179	4	,	,	PUNCT
cana-5926	179	5	h.	h.	PROPN
cana-5926	179	6	,	,	PUNCT
cana-5926	179	7	&	&	CCONJ
cana-5926	179	8	nedjar	nedjar	PROPN
cana-5926	179	9	,	,	PUNCT
cana-5926	179	10	s.	s.	PROPN
cana-5926	179	11	(	(	PUNCT
cana-5926	179	12	2016b	2016b	NUM
cana-5926	179	13	)	)	PUNCT
cana-5926	179	14	.	.	PUNCT
cana-5926	180	1	a	a	DET
cana-5926	180	2	pseudo	pseudo	NOUN
cana-5926	180	3	lindley	lindley	NOUN
cana-5926	180	4	distribution	distribution	NOUN
cana-5926	180	5	and	and	CCONJ
cana-5926	180	6	its	its	PRON
cana-5926	180	7	application	application	NOUN
cana-5926	180	8	.	.	PUNCT
cana-5926	181	1	afrika	afrika	PROPN
cana-5926	181	2	statistika	statistika	PROPN
cana-5926	181	3	,	,	PUNCT
cana-5926	181	4	11(1	11(1	NUM
cana-5926	181	5	)	)	PUNCT
cana-5926	181	6	,	,	PUNCT
cana-5926	181	7	923–932	923–932	NUM
cana-5926	181	8	.	.	PUNCT
cana-5926	182	1	https://doi.org/10.1016/j.insmatheco.2005.05.004	https://doi.org/10.1016/j.insmatheco.2005.05.004	X