id	sid	tid	token	lemma	pos
ijassa-86	1	1	advances	advance	NOUN
ijassa-86	1	2	in	in	ADP
ijassa-86	1	3	systems	system	NOUN
ijassa-86	1	4	science	science	NOUN
ijassa-86	1	5	and	and	CCONJ
ijassa-86	1	6	applications	application	NOUN
ijassa-86	1	7	(	(	PUNCT
ijassa-86	1	8	2012	2012	NUM
ijassa-86	1	9	)	)	PUNCT
ijassa-86	1	10	vol.12	vol.12	NOUN
ijassa-86	1	11	no.1	no.1	VERB
ijassa-86	1	12	18	18	NUM
ijassa-86	1	13	-	-	SYM
ijassa-86	1	14	26	26	NUM
ijassa-86	1	15	empirical	empirical	ADJ
ijassa-86	1	16	analysis	analysis	NOUN
ijassa-86	1	17	of	of	ADP
ijassa-86	1	18	credit	credit	NOUN
ijassa-86	1	19	risk	risk	NOUN
ijassa-86	1	20	measure	measure	NOUN
ijassa-86	1	21	using	use	VERB
ijassa-86	1	22	fuzzy	fuzzy	ADJ
ijassa-86	1	23	adaptive	adaptive	ADJ
ijassa-86	1	24	neural	neural	ADJ
ijassa-86	1	25	-	-	PUNCT
ijassa-86	1	26	networks	network	NOUN
ijassa-86	1	27	:	:	PUNCT
ijassa-86	1	28	for	for	ADP
ijassa-86	1	29	small	small	ADJ
ijassa-86	1	30	and	and	CCONJ
ijassa-86	1	31	medium	medium	ADJ
ijassa-86	1	32	-	-	PUNCT
ijassa-86	1	33	sized	sized	ADJ
ijassa-86	1	34	enterprises	enterprise	NOUN
ijassa-86	1	35	zhichun	zhichun	PROPN
ijassa-86	1	36	xu	xu	PROPN
ijassa-86	1	37	and	and	CCONJ
ijassa-86	1	38	zongjun	zongjun	PROPN
ijassa-86	1	39	wang	wang	PROPN
ijassa-86	1	40	school	school	PROPN
ijassa-86	1	41	of	of	ADP
ijassa-86	1	42	management	management	NOUN
ijassa-86	1	43	,	,	PUNCT
ijassa-86	1	44	huazhong	huazhong	PROPN
ijassa-86	1	45	university	university	PROPN
ijassa-86	1	46	of	of	ADP
ijassa-86	1	47	science	science	PROPN
ijassa-86	1	48	technology	technology	PROPN
ijassa-86	1	49	,	,	PUNCT
ijassa-86	1	50	wuhan	wuhan	PROPN
ijassa-86	1	51	430074	430074	PROPN
ijassa-86	1	52	p.r.china	p.r.china	ADJ
ijassa-86	1	53	abstract	abstract	ADJ
ijassa-86	1	54	measuring	measure	VERB
ijassa-86	1	55	credit	credit	NOUN
ijassa-86	1	56	risks	risk	NOUN
ijassa-86	1	57	of	of	ADP
ijassa-86	1	58	small	small	ADJ
ijassa-86	1	59	and	and	CCONJ
ijassa-86	1	60	medium	medium	ADJ
ijassa-86	1	61	-	-	PUNCT
ijassa-86	1	62	sized	sized	ADJ
ijassa-86	1	63	enterprises	enterprise	NOUN
ijassa-86	1	64	should	should	AUX
ijassa-86	1	65	take	take	VERB
ijassa-86	1	66	a	a	DET
ijassa-86	1	67	series	series	NOUN
ijassa-86	1	68	of	of	ADP
ijassa-86	1	69	unique	unique	ADJ
ijassa-86	1	70	characteristics	characteristic	NOUN
ijassa-86	1	71	into	into	ADP
ijassa-86	1	72	consideration	consideration	NOUN
ijassa-86	1	73	.	.	PUNCT
ijassa-86	2	1	firstly	firstly	ADV
ijassa-86	2	2	,	,	PUNCT
ijassa-86	2	3	non	non	ADJ
ijassa-86	2	4	-	-	ADJ
ijassa-86	2	5	financial	financial	ADJ
ijassa-86	2	6	conditions	condition	NOUN
ijassa-86	2	7	should	should	AUX
ijassa-86	2	8	be	be	AUX
ijassa-86	2	9	combined	combine	VERB
ijassa-86	2	10	to	to	PART
ijassa-86	2	11	produce	produce	VERB
ijassa-86	2	12	more	more	ADV
ijassa-86	2	13	accurate	accurate	ADJ
ijassa-86	2	14	evaluation	evaluation	NOUN
ijassa-86	2	15	results	result	NOUN
ijassa-86	2	16	.	.	PUNCT
ijassa-86	3	1	secondly	secondly	ADV
ijassa-86	3	2	,	,	PUNCT
ijassa-86	3	3	to	to	PART
ijassa-86	3	4	overcome	overcome	VERB
ijassa-86	3	5	the	the	DET
ijassa-86	3	6	vague	vague	NOUN
ijassa-86	3	7	of	of	ADP
ijassa-86	3	8	non	non	ADJ
ijassa-86	3	9	-	-	ADJ
ijassa-86	3	10	financial	financial	ADJ
ijassa-86	3	11	and	and	CCONJ
ijassa-86	3	12	sharp	sharp	ADJ
ijassa-86	3	13	boundaries	boundary	NOUN
ijassa-86	3	14	of	of	ADP
ijassa-86	3	15	financial	financial	ADJ
ijassa-86	3	16	conditions	condition	NOUN
ijassa-86	3	17	,	,	PUNCT
ijassa-86	3	18	fuzzy	fuzzy	ADJ
ijassa-86	3	19	approaches	approach	NOUN
ijassa-86	3	20	and	and	CCONJ
ijassa-86	3	21	a	a	DET
ijassa-86	3	22	nonlinear	nonlinear	ADJ
ijassa-86	3	23	classifier	classifier	NOUN
ijassa-86	3	24	based	base	VERB
ijassa-86	3	25	on	on	ADP
ijassa-86	3	26	fuzzy	fuzzy	ADJ
ijassa-86	3	27	adaptive	adaptive	ADJ
ijassa-86	3	28	neuralnetwork(hereinafter	neuralnetwork(hereinafter	PROPN
ijassa-86	3	29	referred	refer	VERB
ijassa-86	3	30	to	to	ADP
ijassa-86	3	31	as	as	ADP
ijassa-86	3	32	“	"	PUNCT
ijassa-86	3	33	fan	fan	NOUN
ijassa-86	3	34	”	"	PUNCT
ijassa-86	3	35	)	)	PUNCT
ijassa-86	3	36	were	be	AUX
ijassa-86	3	37	introduced	introduce	VERB
ijassa-86	3	38	.	.	PUNCT
ijassa-86	4	1	a	a	DET
ijassa-86	4	2	sample	sample	NOUN
ijassa-86	4	3	family	family	NOUN
ijassa-86	4	4	of	of	ADP
ijassa-86	4	5	65	65	NUM
ijassa-86	4	6	firms	firm	NOUN
ijassa-86	4	7	was	be	AUX
ijassa-86	4	8	collected	collect	VERB
ijassa-86	4	9	to	to	PART
ijassa-86	4	10	test	test	VERB
ijassa-86	4	11	the	the	DET
ijassa-86	4	12	performance	performance	NOUN
ijassa-86	4	13	of	of	ADP
ijassa-86	4	14	the	the	DET
ijassa-86	4	15	above	above	ADJ
ijassa-86	4	16	classifier	classifier	NOUN
ijassa-86	4	17	,	,	PUNCT
ijassa-86	4	18	among	among	ADP
ijassa-86	4	19	which	which	PRON
ijassa-86	4	20	29	29	NUM
ijassa-86	4	21	firms	firm	NOUN
ijassa-86	4	22	were	be	AUX
ijassa-86	4	23	default	default	NOUN
ijassa-86	4	24	and	and	CCONJ
ijassa-86	4	25	36	36	NUM
ijassa-86	4	26	firms	firm	NOUN
ijassa-86	4	27	were	be	AUX
ijassa-86	4	28	good	good	ADJ
ijassa-86	4	29	.	.	PUNCT
ijassa-86	5	1	the	the	DET
ijassa-86	5	2	result	result	NOUN
ijassa-86	5	3	was	be	AUX
ijassa-86	5	4	shown	show	VERB
ijassa-86	5	5	as	as	ADP
ijassa-86	5	6	roc	roc	PROPN
ijassa-86	5	7	curves	curve	NOUN
ijassa-86	5	8	.	.	PUNCT
ijassa-86	6	1	to	to	PART
ijassa-86	6	2	compare	compare	VERB
ijassa-86	6	3	the	the	DET
ijassa-86	6	4	performance	performance	NOUN
ijassa-86	6	5	of	of	ADP
ijassa-86	6	6	the	the	DET
ijassa-86	6	7	model	model	NOUN
ijassa-86	6	8	,	,	PUNCT
ijassa-86	6	9	the	the	DET
ijassa-86	6	10	empirical	empirical	ADJ
ijassa-86	6	11	results	result	NOUN
ijassa-86	6	12	of	of	ADP
ijassa-86	6	13	another	another	DET
ijassa-86	6	14	4	4	NUM
ijassa-86	6	15	classifiers	classifier	NOUN
ijassa-86	6	16	were	be	AUX
ijassa-86	6	17	shown	show	VERB
ijassa-86	6	18	at	at	ADP
ijassa-86	6	19	the	the	DET
ijassa-86	6	20	same	same	ADJ
ijassa-86	6	21	figures	figure	NOUN
ijassa-86	6	22	and	and	CCONJ
ijassa-86	6	23	tables	table	NOUN
ijassa-86	6	24	.	.	PUNCT
ijassa-86	7	1	the	the	DET
ijassa-86	7	2	results	result	NOUN
ijassa-86	7	3	showed	show	VERB
ijassa-86	7	4	that	that	SCONJ
ijassa-86	7	5	fan	fan	NOUN
ijassa-86	7	6	has	have	VERB
ijassa-86	7	7	the	the	DET
ijassa-86	7	8	best	good	ADJ
ijassa-86	7	9	performance	performance	NOUN
ijassa-86	7	10	and	and	CCONJ
ijassa-86	7	11	can	can	AUX
ijassa-86	7	12	effectively	effectively	ADV
ijassa-86	7	13	distinguish	distinguish	VERB
ijassa-86	7	14	the	the	DET
ijassa-86	7	15	good	good	ADJ
ijassa-86	7	16	and	and	CCONJ
ijassa-86	7	17	default	default	NOUN
ijassa-86	7	18	firms	firm	NOUN
ijassa-86	7	19	.	.	PUNCT
ijassa-86	8	1	keywords	keyword	NOUN
ijassa-86	8	2	fuzzy	fuzzy	ADJ
ijassa-86	8	3	adaptive	adaptive	ADJ
ijassa-86	8	4	neural	neural	ADJ
ijassa-86	8	5	-	-	PUNCT
ijassa-86	8	6	network	network	NOUN
ijassa-86	8	7	,	,	PUNCT
ijassa-86	8	8	small	small	ADJ
ijassa-86	8	9	and	and	CCONJ
ijassa-86	8	10	medium	medium	ADJ
ijassa-86	8	11	-	-	PUNCT
ijassa-86	8	12	sized	sized	ADJ
ijassa-86	8	13	enterprises	enterprise	NOUN
ijassa-86	8	14	,	,	PUNCT
ijassa-86	8	15	credit	credit	NOUN
ijassa-86	8	16	risk	risk	NOUN
ijassa-86	8	17	,	,	PUNCT
ijassa-86	8	18	non	non	ADJ
ijassa-86	8	19	-	-	ADJ
ijassa-86	8	20	financial	financial	ADJ
ijassa-86	8	21	conditions	condition	NOUN
ijassa-86	8	22	1	1	NUM
ijassa-86	8	23	introduction	introduction	NOUN
ijassa-86	8	24	it	it	PRON
ijassa-86	8	25	is	be	AUX
ijassa-86	8	26	well	well	ADV
ijassa-86	8	27	known	know	VERB
ijassa-86	8	28	that	that	SCONJ
ijassa-86	8	29	small	small	ADJ
ijassa-86	8	30	and	and	CCONJ
ijassa-86	8	31	medium	medium	ADJ
ijassa-86	8	32	-	-	PUNCT
ijassa-86	8	33	sized	sized	ADJ
ijassa-86	8	34	enterprises	enterprise	NOUN
ijassa-86	8	35	(	(	PUNCT
ijassa-86	8	36	smes	sme	NOUN
ijassa-86	8	37	)	)	PUNCT
ijassa-86	8	38	have	have	VERB
ijassa-86	8	39	a	a	DET
ijassa-86	8	40	series	series	NOUN
ijassa-86	8	41	of	of	ADP
ijassa-86	8	42	unique	unique	ADJ
ijassa-86	8	43	characteristics	characteristic	NOUN
ijassa-86	8	44	differing	differ	VERB
ijassa-86	8	45	from	from	ADP
ijassa-86	8	46	large	large	ADJ
ijassa-86	8	47	enterprises	enterprise	NOUN
ijassa-86	8	48	.	.	PUNCT
ijassa-86	9	1	for	for	ADP
ijassa-86	9	2	instance	instance	NOUN
ijassa-86	9	3	,	,	PUNCT
ijassa-86	9	4	many	many	ADJ
ijassa-86	9	5	small	small	ADJ
ijassa-86	9	6	and	and	CCONJ
ijassa-86	9	7	medium	medium	ADJ
ijassa-86	9	8	-	-	PUNCT
ijassa-86	9	9	sized	sized	ADJ
ijassa-86	9	10	and	and	CCONJ
ijassa-86	9	11	businesses	business	NOUN
ijassa-86	9	12	are	be	AUX
ijassa-86	9	13	lack	lack	NOUN
ijassa-86	9	14	of	of	ADP
ijassa-86	9	15	audited	audit	VERB
ijassa-86	9	16	financial	financial	ADJ
ijassa-86	9	17	statements	statement	NOUN
ijassa-86	9	18	,	,	PUNCT
ijassa-86	9	19	and	and	CCONJ
ijassa-86	9	20	the	the	DET
ijassa-86	9	21	reliability	reliability	NOUN
ijassa-86	9	22	of	of	ADP
ijassa-86	9	23	their	their	PRON
ijassa-86	9	24	financial	financial	ADJ
ijassa-86	9	25	statements	statement	NOUN
ijassa-86	9	26	is	be	AUX
ijassa-86	9	27	doubtful	doubtful	ADJ
ijassa-86	9	28	to	to	ADP
ijassa-86	9	29	lenders	lender	NOUN
ijassa-86	9	30	.	.	PUNCT
ijassa-86	10	1	also	also	ADV
ijassa-86	10	2	,	,	PUNCT
ijassa-86	10	3	non	non	ADJ
ijassa-86	10	4	-	-	ADJ
ijassa-86	10	5	financial	financial	ADJ
ijassa-86	10	6	factors	factor	NOUN
ijassa-86	10	7	of	of	ADP
ijassa-86	10	8	the	the	DET
ijassa-86	10	9	borrowers	borrower	NOUN
ijassa-86	10	10	have	have	VERB
ijassa-86	10	11	deep	deep	ADJ
ijassa-86	10	12	impacts	impact	NOUN
ijassa-86	10	13	on	on	ADP
ijassa-86	10	14	the	the	DET
ijassa-86	10	15	probability	probability	NOUN
ijassa-86	10	16	to	to	PART
ijassa-86	10	17	meet	meet	VERB
ijassa-86	10	18	their	their	PRON
ijassa-86	10	19	future	future	ADJ
ijassa-86	10	20	obligations	obligation	NOUN
ijassa-86	10	21	.	.	PUNCT
ijassa-86	11	1	these	these	DET
ijassa-86	11	2	non	non	ADJ
ijassa-86	11	3	-	-	ADJ
ijassa-86	11	4	financial	financial	ADJ
ijassa-86	11	5	factors	factor	NOUN
ijassa-86	11	6	include	include	VERB
ijassa-86	11	7	the	the	DET
ijassa-86	11	8	owners	owner	NOUN
ijassa-86	11	9	’	’	PART
ijassa-86	11	10	personal	personal	ADJ
ijassa-86	11	11	finances	finance	NOUN
ijassa-86	11	12	,	,	PUNCT
ijassa-86	11	13	as	as	ADV
ijassa-86	11	14	well	well	ADV
ijassa-86	11	15	as	as	ADP
ijassa-86	11	16	other	other	ADJ
ijassa-86	11	17	attributes	attribute	NOUN
ijassa-86	11	18	like	like	ADP
ijassa-86	11	19	their	their	PRON
ijassa-86	11	20	morality	morality	NOUN
ijassa-86	11	21	and	and	CCONJ
ijassa-86	11	22	beliefs	belief	NOUN
ijassa-86	11	23	.	.	PUNCT
ijassa-86	12	1	at	at	ADP
ijassa-86	12	2	last	last	ADJ
ijassa-86	12	3	,	,	PUNCT
ijassa-86	12	4	macroeconomic	macroeconomic	ADJ
ijassa-86	12	5	environments	environment	NOUN
ijassa-86	12	6	and	and	CCONJ
ijassa-86	12	7	industry	industry	NOUN
ijassa-86	12	8	policies	policy	NOUN
ijassa-86	12	9	have	have	VERB
ijassa-86	12	10	important	important	ADJ
ijassa-86	12	11	influence	influence	NOUN
ijassa-86	12	12	to	to	ADP
ijassa-86	12	13	operating	operate	VERB
ijassa-86	12	14	of	of	ADP
ijassa-86	12	15	the	the	DET
ijassa-86	12	16	firms	firm	NOUN
ijassa-86	12	17	.	.	PUNCT
ijassa-86	13	1	based	base	VERB
ijassa-86	13	2	on	on	ADP
ijassa-86	13	3	the	the	DET
ijassa-86	13	4	above	above	ADJ
ijassa-86	13	5	reasons	reason	NOUN
ijassa-86	13	6	,	,	PUNCT
ijassa-86	13	7	when	when	SCONJ
ijassa-86	13	8	we	we	PRON
ijassa-86	13	9	construct	construct	VERB
ijassa-86	13	10	model	model	NOUN
ijassa-86	13	11	to	to	PART
ijassa-86	13	12	measure	measure	VERB
ijassa-86	13	13	credit	credit	NOUN
ijassa-86	13	14	risk	risk	NOUN
ijassa-86	13	15	of	of	ADP
ijassa-86	13	16	smes	sme	NOUN
ijassa-86	13	17	,	,	PUNCT
ijassa-86	13	18	the	the	DET
ijassa-86	13	19	unique	unique	ADJ
ijassa-86	13	20	characters	character	NOUN
ijassa-86	13	21	should	should	AUX
ijassa-86	13	22	been	be	AUX
ijassa-86	13	23	taken	take	VERB
ijassa-86	13	24	serious	serious	ADJ
ijassa-86	13	25	consideration	consideration	NOUN
ijassa-86	13	26	.	.	PUNCT
ijassa-86	14	1	in	in	ADP
ijassa-86	14	2	this	this	DET
ijassa-86	14	3	paper	paper	NOUN
ijassa-86	14	4	,	,	PUNCT
ijassa-86	14	5	we	we	PRON
ijassa-86	14	6	will	will	AUX
ijassa-86	14	7	concentrate	concentrate	VERB
ijassa-86	14	8	on	on	ADP
ijassa-86	14	9	these	these	DET
ijassa-86	14	10	characters	character	NOUN
ijassa-86	14	11	and	and	CCONJ
ijassa-86	14	12	put	put	VERB
ijassa-86	14	13	forward	forward	ADV
ijassa-86	14	14	to	to	ADP
ijassa-86	14	15	a	a	DET
ijassa-86	14	16	nonlinear	nonlinear	ADJ
ijassa-86	14	17	classifier	classifier	NOUN
ijassa-86	14	18	based	base	VERB
ijassa-86	14	19	on	on	ADP
ijassa-86	14	20	fuzzy	fuzzy	ADJ
ijassa-86	14	21	adaptive	adaptive	ADJ
ijassa-86	14	22	neural	neural	ADJ
ijassa-86	14	23	-	-	PUNCT
ijassa-86	14	24	network	network	NOUN
ijassa-86	14	25	to	to	PART
ijassa-86	14	26	solve	solve	VERB
ijassa-86	14	27	these	these	DET
ijassa-86	14	28	problems.(einstein	problems.(einstein	ADP
ijassa-86	14	29	,	,	PUNCT
ijassa-86	14	30	1954	1954	NUM
ijassa-86	14	31	)	)	PUNCT
ijassa-86	14	32	.	.	PUNCT
ijassa-86	15	1	the	the	DET
ijassa-86	15	2	paper	paper	NOUN
ijassa-86	15	3	is	be	AUX
ijassa-86	15	4	structured	structure	VERB
ijassa-86	15	5	as	as	SCONJ
ijassa-86	15	6	follows	follow	VERB
ijassa-86	15	7	.	.	PUNCT
ijassa-86	16	1	the	the	DET
ijassa-86	16	2	next	next	ADJ
ijassa-86	16	3	section	section	NOUN
ijassa-86	16	4	provides	provide	VERB
ijassa-86	16	5	a	a	DET
ijassa-86	16	6	survey	survey	NOUN
ijassa-86	16	7	of	of	ADP
ijassa-86	16	8	the	the	DET
ijassa-86	16	9	technologies	technology	NOUN
ijassa-86	16	10	about	about	ADP
ijassa-86	16	11	credit	credit	NOUN
ijassa-86	16	12	risk	risk	NOUN
ijassa-86	16	13	modeling	modeling	NOUN
ijassa-86	16	14	for	for	ADP
ijassa-86	16	15	smes	sme	NOUN
ijassa-86	16	16	and	and	CCONJ
ijassa-86	16	17	related	related	ADJ
ijassa-86	16	18	work	work	NOUN
ijassa-86	16	19	.	.	PUNCT
ijassa-86	17	1	section	section	NOUN
ijassa-86	17	2	3	3	NUM
ijassa-86	17	3	describes	describe	VERB
ijassa-86	17	4	our	our	PRON
ijassa-86	17	5	data	datum	NOUN
ijassa-86	17	6	set	set	VERB
ijassa-86	17	7	used	use	VERB
ijassa-86	17	8	in	in	ADP
ijassa-86	17	9	the	the	DET
ijassa-86	17	10	paper	paper	NOUN
ijassa-86	17	11	.	.	PUNCT
ijassa-86	18	1	section	section	NOUN
ijassa-86	18	2	4	4	NUM
ijassa-86	18	3	presents	present	VERB
ijassa-86	18	4	the	the	DET
ijassa-86	18	5	feature	feature	NOUN
ijassa-86	18	6	extraction	extraction	NOUN
ijassa-86	18	7	and	and	CCONJ
ijassa-86	18	8	the	the	DET
ijassa-86	18	9	procedure	procedure	NOUN
ijassa-86	18	10	of	of	ADP
ijassa-86	18	11	factors	factor	NOUN
ijassa-86	18	12	formation	formation	NOUN
ijassa-86	18	13	.	.	PUNCT
ijassa-86	19	1	section	section	NOUN
ijassa-86	19	2	5	5	NUM
ijassa-86	19	3	discusses	discuss	VERB
ijassa-86	19	4	the	the	DET
ijassa-86	19	5	empirical	empirical	ADJ
ijassa-86	19	6	results	result	NOUN
ijassa-86	19	7	advances	advance	NOUN
ijassa-86	19	8	in	in	ADP
ijassa-86	19	9	systems	system	NOUN
ijassa-86	19	10	science	science	NOUN
ijassa-86	19	11	and	and	CCONJ
ijassa-86	19	12	applications	application	NOUN
ijassa-86	19	13	(	(	PUNCT
ijassa-86	19	14	2012	2012	NUM
ijassa-86	19	15	)	)	PUNCT
ijassa-86	19	16	vol.12	vol.12	NOUN
ijassa-86	19	17	no.1	no.1	X
ijassa-86	19	18	19	19	NUM
ijassa-86	19	19	and	and	CCONJ
ijassa-86	19	20	analyzes	analyze	VERB
ijassa-86	19	21	the	the	DET
ijassa-86	19	22	results	result	NOUN
ijassa-86	19	23	together	together	ADV
ijassa-86	19	24	with	with	ADP
ijassa-86	19	25	a	a	DET
ijassa-86	19	26	comparison	comparison	NOUN
ijassa-86	19	27	between	between	ADP
ijassa-86	19	28	the	the	DET
ijassa-86	19	29	two	two	NUM
ijassa-86	19	30	methods	method	NOUN
ijassa-86	19	31	.	.	PUNCT
ijassa-86	20	1	we	we	PRON
ijassa-86	20	2	conclude	conclude	VERB
ijassa-86	20	3	the	the	DET
ijassa-86	20	4	paper	paper	NOUN
ijassa-86	20	5	in	in	ADP
ijassa-86	20	6	section	section	NOUN
ijassa-86	20	7	6	6	NUM
ijassa-86	20	8	.	.	SYM
ijassa-86	20	9	2	2	NUM
ijassa-86	20	10	technologies	technology	NOUN
ijassa-86	20	11	about	about	ADP
ijassa-86	20	12	credit	credit	NOUN
ijassa-86	20	13	risk	risk	NOUN
ijassa-86	20	14	measure	measure	NOUN
ijassa-86	20	15	for	for	ADP
ijassa-86	20	16	smes	sme	NOUN
ijassa-86	20	17	unlike	unlike	ADP
ijassa-86	20	18	many	many	ADJ
ijassa-86	20	19	literatures	literature	NOUN
ijassa-86	20	20	emphasizing	emphasize	VERB
ijassa-86	20	21	financial	financial	ADJ
ijassa-86	20	22	conditions	condition	NOUN
ijassa-86	20	23	,	,	PUNCT
ijassa-86	20	24	edmister	edmister	NOUN
ijassa-86	20	25	(	(	PUNCT
ijassa-86	20	26	1988	1988	NUM
ijassa-86	20	27	)	)	PUNCT
ijassa-86	20	28	claimed	claim	VERB
ijassa-86	20	29	that	that	SCONJ
ijassa-86	20	30	numerical	numerical	ADJ
ijassa-86	20	31	financial	financial	ADJ
ijassa-86	20	32	ratios	ratio	NOUN
ijassa-86	20	33	and	and	CCONJ
ijassa-86	20	34	human	human	ADJ
ijassa-86	20	35	credit	credit	NOUN
ijassa-86	20	36	analysis	analysis	NOUN
ijassa-86	20	37	could	could	AUX
ijassa-86	20	38	be	be	AUX
ijassa-86	20	39	combined	combine	VERB
ijassa-86	20	40	to	to	PART
ijassa-86	20	41	produce	produce	VERB
ijassa-86	20	42	more	more	ADV
ijassa-86	20	43	accurate	accurate	ADJ
ijassa-86	20	44	evaluation	evaluation	NOUN
ijassa-86	20	45	results	result	NOUN
ijassa-86	20	46	for	for	ADP
ijassa-86	20	47	credit	credit	NOUN
ijassa-86	20	48	risk	risk	NOUN
ijassa-86	20	49	measure	measure	NOUN
ijassa-86	20	50	.	.	PUNCT
ijassa-86	21	1	neglecting	neglect	VERB
ijassa-86	21	2	the	the	DET
ijassa-86	21	3	information	information	NOUN
ijassa-86	21	4	provided	provide	VERB
ijassa-86	21	5	by	by	ADP
ijassa-86	21	6	these	these	DET
ijassa-86	21	7	qualitative	qualitative	ADJ
ijassa-86	21	8	factors	factor	NOUN
ijassa-86	21	9	might	might	AUX
ijassa-86	21	10	result	result	VERB
ijassa-86	21	11	in	in	ADP
ijassa-86	21	12	undesirable	undesirable	ADJ
ijassa-86	21	13	consequences[1	consequences[1	PROPN
ijassa-86	21	14	]	]	PUNCT
ijassa-86	21	15	.	.	PUNCT
ijassa-86	22	1	based	base	VERB
ijassa-86	22	2	on	on	ADP
ijassa-86	22	3	the	the	DET
ijassa-86	22	4	judgments	judgment	NOUN
ijassa-86	22	5	,	,	PUNCT
ijassa-86	22	6	many	many	ADJ
ijassa-86	22	7	non	non	ADJ
ijassa-86	22	8	-	-	ADJ
ijassa-86	22	9	financial	financial	ADJ
ijassa-86	22	10	conditions	condition	NOUN
ijassa-86	22	11	were	be	AUX
ijassa-86	22	12	introduced	introduce	VERB
ijassa-86	22	13	to	to	PART
ijassa-86	22	14	model	model	VERB
ijassa-86	22	15	the	the	DET
ijassa-86	22	16	credit	credit	NOUN
ijassa-86	22	17	risk	risk	NOUN
ijassa-86	22	18	of	of	ADP
ijassa-86	22	19	smes	sme	NOUN
ijassa-86	22	20	.	.	PUNCT
ijassa-86	23	1	but	but	CCONJ
ijassa-86	23	2	the	the	DET
ijassa-86	23	3	non	non	ADJ
ijassa-86	23	4	-	-	ADJ
ijassa-86	23	5	financial	financial	ADJ
ijassa-86	23	6	conditions	condition	NOUN
ijassa-86	23	7	always	always	ADV
ijassa-86	23	8	were	be	AUX
ijassa-86	23	9	linguistic	linguistic	ADJ
ijassa-86	23	10	and	and	CCONJ
ijassa-86	23	11	vague	vague	ADJ
ijassa-86	23	12	,	,	PUNCT
ijassa-86	23	13	they	they	PRON
ijassa-86	23	14	could	could	AUX
ijassa-86	23	15	not	not	PART
ijassa-86	23	16	be	be	AUX
ijassa-86	23	17	easily	easily	ADV
ijassa-86	23	18	treated	treat	VERB
ijassa-86	23	19	like	like	ADP
ijassa-86	23	20	financial	financial	ADJ
ijassa-86	23	21	ratios	ratio	NOUN
ijassa-86	23	22	in	in	ADP
ijassa-86	23	23	linear	linear	ADJ
ijassa-86	23	24	discriminant	discriminant	NOUN
ijassa-86	23	25	models	model	NOUN
ijassa-86	23	26	such	such	ADJ
ijassa-86	23	27	as	as	ADP
ijassa-86	23	28	mda	mda	PROPN
ijassa-86	23	29	and	and	CCONJ
ijassa-86	23	30	logistic	logistic	ADJ
ijassa-86	23	31	regression	regression	NOUN
ijassa-86	23	32	model	model	NOUN
ijassa-86	23	33	.	.	PUNCT
ijassa-86	24	1	even	even	ADV
ijassa-86	24	2	for	for	ADP
ijassa-86	24	3	financial	financial	ADJ
ijassa-86	24	4	information	information	NOUN
ijassa-86	24	5	,	,	PUNCT
ijassa-86	24	6	the	the	DET
ijassa-86	24	7	sharp	sharp	ADJ
ijassa-86	24	8	boundaries	boundary	NOUN
ijassa-86	24	9	also	also	ADV
ijassa-86	24	10	need	need	VERB
ijassa-86	24	11	seriously	seriously	ADV
ijassa-86	24	12	treated[2].to	treated[2].to	PROPN
ijassa-86	24	13	overcome	overcome	VERB
ijassa-86	24	14	this	this	DET
ijassa-86	24	15	problem	problem	NOUN
ijassa-86	24	16	,	,	PUNCT
ijassa-86	24	17	fuzzy	fuzzy	ADJ
ijassa-86	24	18	approaches	approach	NOUN
ijassa-86	24	19	were	be	AUX
ijassa-86	24	20	introduced	introduce	VERB
ijassa-86	24	21	.	.	PUNCT
ijassa-86	25	1	rommelfanger	rommelfanger	PROPN
ijassa-86	25	2	(	(	PUNCT
ijassa-86	25	3	1999	1999	NUM
ijassa-86	25	4	)	)	PUNCT
ijassa-86	25	5	proposed	propose	VERB
ijassa-86	25	6	the	the	DET
ijassa-86	25	7	use	use	NOUN
ijassa-86	25	8	of	of	ADP
ijassa-86	25	9	fuzzy	fuzzy	ADJ
ijassa-86	25	10	logic	logic	NOUN
ijassa-86	25	11	to	to	PART
ijassa-86	25	12	check	check	VERB
ijassa-86	25	13	the	the	DET
ijassa-86	25	14	credit	credit	NOUN
ijassa-86	25	15	solvency	solvency	NOUN
ijassa-86	25	16	of	of	ADP
ijassa-86	25	17	small	small	ADJ
ijassa-86	25	18	business	business	NOUN
ijassa-86	25	19	firms	firm	NOUN
ijassa-86	25	20	[	[	X
ijassa-86	25	21	3	3	NUM
ijassa-86	25	22	]	]	PUNCT
ijassa-86	25	23	.	.	PUNCT
ijassa-86	26	1	weber	weber	PROPN
ijassa-86	26	2	(	(	PUNCT
ijassa-86	26	3	1999	1999	NUM
ijassa-86	26	4	)	)	PUNCT
ijassa-86	26	5	used	use	VERB
ijassa-86	26	6	fuzzy	fuzzy	ADJ
ijassa-86	26	7	logic	logic	NOUN
ijassa-86	26	8	for	for	ADP
ijassa-86	26	9	credit	credit	NOUN
ijassa-86	26	10	worthiness	worthiness	NOUN
ijassa-86	26	11	evaluation[4	evaluation[4	PROPN
ijassa-86	26	12	]	]	PUNCT
ijassa-86	26	13	.	.	PUNCT
ijassa-86	27	1	syau	syau	PROPN
ijassa-86	27	2	et	et	PROPN
ijassa-86	27	3	al	al	PROPN
ijassa-86	27	4	.	.	PROPN
ijassa-86	28	1	(	(	PUNCT
ijassa-86	28	2	2001	2001	NUM
ijassa-86	28	3	)	)	PUNCT
ijassa-86	28	4	used	use	VERB
ijassa-86	28	5	fuzzy	fuzzy	ADJ
ijassa-86	28	6	membership	membership	NOUN
ijassa-86	28	7	function	function	NOUN
ijassa-86	28	8	to	to	PART
ijassa-86	28	9	model	model	VERB
ijassa-86	28	10	the	the	DET
ijassa-86	28	11	credit	credit	NOUN
ijassa-86	28	12	worthiness	worthiness	NOUN
ijassa-86	28	13	of	of	ADP
ijassa-86	28	14	an	an	DET
ijassa-86	28	15	enterprise[5	enterprise[5	PROPN
ijassa-86	28	16	]	]	PUNCT
ijassa-86	28	17	.	.	PUNCT
ijassa-86	29	1	chen	chen	PROPN
ijassa-86	29	2	(	(	PUNCT
ijassa-86	29	3	1999	1999	NUM
ijassa-86	29	4	)	)	PUNCT
ijassa-86	29	5	presented	present	VERB
ijassa-86	29	6	a	a	DET
ijassa-86	29	7	fuzzy	fuzzy	ADJ
ijassa-86	29	8	credit	credit	NOUN
ijassa-86	29	9	-	-	PUNCT
ijassa-86	29	10	rating	rating	NOUN
ijassa-86	29	11	approach	approach	NOUN
ijassa-86	29	12	to	to	PART
ijassa-86	29	13	deal	deal	VERB
ijassa-86	29	14	with	with	ADP
ijassa-86	29	15	the	the	DET
ijassa-86	29	16	problem	problem	NOUN
ijassa-86	29	17	arisen	arise	VERB
ijassa-86	29	18	from	from	ADP
ijassa-86	29	19	the	the	DET
ijassa-86	29	20	credit	credit	NOUN
ijassa-86	29	21	rating	rating	NOUN
ijassa-86	29	22	table	table	NOUN
ijassa-86	29	23	used	use	VERB
ijassa-86	29	24	in	in	ADP
ijassa-86	29	25	taiwan	taiwan	PROPN
ijassa-86	29	26	.	.	PUNCT
ijassa-86	30	1	the	the	DET
ijassa-86	30	2	evaluation	evaluation	NOUN
ijassa-86	30	3	criteria	criterion	NOUN
ijassa-86	30	4	were	be	AUX
ijassa-86	30	5	modeled	model	VERB
ijassa-86	30	6	as	as	ADP
ijassa-86	30	7	a	a	DET
ijassa-86	30	8	hierarchical	hierarchical	ADJ
ijassa-86	30	9	decision	decision	NOUN
ijassa-86	30	10	structure	structure	NOUN
ijassa-86	30	11	,	,	PUNCT
ijassa-86	30	12	and	and	CCONJ
ijassa-86	30	13	fuzzy	fuzzy	ADJ
ijassa-86	30	14	integral	integral	ADJ
ijassa-86	30	15	was	be	AUX
ijassa-86	30	16	employed	employ	VERB
ijassa-86	30	17	for	for	ADP
ijassa-86	30	18	aggregating	aggregate	VERB
ijassa-86	30	19	credit	credit	NOUN
ijassa-86	30	20	information[6	information[6	PROPN
ijassa-86	30	21	]	]	PUNCT
ijassa-86	30	22	.	.	PUNCT
ijassa-86	31	1	resent	resent	PROPN
ijassa-86	31	2	research	research	NOUN
ijassa-86	31	3	has	have	AUX
ijassa-86	31	4	been	be	AUX
ijassa-86	31	5	done	do	VERB
ijassa-86	31	6	by	by	ADP
ijassa-86	31	7	jiao	jiao	PROPN
ijassa-86	31	8	et	et	PROPN
ijassa-86	31	9	al	al	PROPN
ijassa-86	31	10	(	(	PUNCT
ijassa-86	31	11	2007	2007	NUM
ijassa-86	31	12	)	)	PUNCT
ijassa-86	31	13	.	.	PUNCT
ijassa-86	32	1	in	in	ADP
ijassa-86	32	2	their	their	PRON
ijassa-86	32	3	paper	paper	NOUN
ijassa-86	32	4	,	,	PUNCT
ijassa-86	32	5	fuzzy	fuzzy	ADJ
ijassa-86	32	6	adaptive	adaptive	ADJ
ijassa-86	32	7	network	network	NOUN
ijassa-86	32	8	was	be	AUX
ijassa-86	32	9	used	use	VERB
ijassa-86	32	10	to	to	PART
ijassa-86	32	11	model	model	VERB
ijassa-86	32	12	the	the	DET
ijassa-86	32	13	credit	credit	NOUN
ijassa-86	32	14	rating	rating	NOUN
ijassa-86	32	15	of	of	ADP
ijassa-86	32	16	small	small	ADJ
ijassa-86	32	17	financial	financial	ADJ
ijassa-86	32	18	enterprises	enterprise	NOUN
ijassa-86	32	19	.	.	PUNCT
ijassa-86	33	1	the	the	DET
ijassa-86	33	2	data	datum	NOUN
ijassa-86	33	3	of	of	ADP
ijassa-86	33	4	the	the	DET
ijassa-86	33	5	credit	credit	NOUN
ijassa-86	33	6	rating	rating	NOUN
ijassa-86	33	7	problem	problem	NOUN
ijassa-86	33	8	was	be	AUX
ijassa-86	33	9	first	first	ADV
ijassa-86	33	10	represented	represent	VERB
ijassa-86	33	11	by	by	ADP
ijassa-86	33	12	the	the	DET
ijassa-86	33	13	use	use	NOUN
ijassa-86	33	14	of	of	ADP
ijassa-86	33	15	fuzzy	fuzzy	ADJ
ijassa-86	33	16	numbers	number	NOUN
ijassa-86	33	17	.	.	PUNCT
ijassa-86	34	1	the	the	DET
ijassa-86	34	2	network	network	NOUN
ijassa-86	34	3	based	base	VERB
ijassa-86	34	4	on	on	ADP
ijassa-86	34	5	inference	inference	NOUN
ijassa-86	34	6	rules	rule	NOUN
ijassa-86	34	7	was	be	AUX
ijassa-86	34	8	constructed	construct	VERB
ijassa-86	34	9	and	and	CCONJ
ijassa-86	34	10	was	be	AUX
ijassa-86	34	11	trained	train	VERB
ijassa-86	34	12	or	or	CCONJ
ijassa-86	34	13	learned	learn	VERB
ijassa-86	34	14	by	by	ADP
ijassa-86	34	15	using	use	VERB
ijassa-86	34	16	the	the	DET
ijassa-86	34	17	fuzzy	fuzzy	ADJ
ijassa-86	34	18	number	number	NOUN
ijassa-86	34	19	training	training	NOUN
ijassa-86	34	20	data	datum	NOUN
ijassa-86	34	21	.	.	PUNCT
ijassa-86	35	1	because	because	SCONJ
ijassa-86	35	2	of	of	ADP
ijassa-86	35	3	the	the	DET
ijassa-86	35	4	learning	learning	NOUN
ijassa-86	35	5	and	and	CCONJ
ijassa-86	35	6	the	the	DET
ijassa-86	35	7	linguistic	linguistic	ADJ
ijassa-86	35	8	representation	representation	NOUN
ijassa-86	35	9	ability	ability	NOUN
ijassa-86	35	10	of	of	ADP
ijassa-86	35	11	the	the	DET
ijassa-86	35	12	fuzzy	fuzzy	ADJ
ijassa-86	35	13	adaptive	adaptive	ADJ
ijassa-86	35	14	network	network	NOUN
ijassa-86	35	15	,	,	PUNCT
ijassa-86	35	16	they	they	PRON
ijassa-86	35	17	showed	show	VERB
ijassa-86	35	18	that	that	SCONJ
ijassa-86	35	19	it	it	PRON
ijassa-86	35	20	was	be	AUX
ijassa-86	35	21	ideally	ideally	ADV
ijassa-86	35	22	suited	suit	VERB
ijassa-86	35	23	for	for	ADP
ijassa-86	35	24	the	the	DET
ijassa-86	35	25	modeling	modeling	NOUN
ijassa-86	35	26	of	of	ADP
ijassa-86	35	27	credit	credit	NOUN
ijassa-86	35	28	rating[2	rating[2	NOUN
ijassa-86	35	29	]	]	PUNCT
ijassa-86	35	30	.	.	PUNCT
ijassa-86	36	1	compared	compare	VERB
ijassa-86	36	2	to	to	ADP
ijassa-86	36	3	jian	jian	PROPN
ijassa-86	36	4	’s	’s	PART
ijassa-86	36	5	work	work	NOUN
ijassa-86	36	6	(	(	PUNCT
ijassa-86	36	7	2007	2007	NUM
ijassa-86	36	8	)	)	PUNCT
ijassa-86	36	9	,	,	PUNCT
ijassa-86	36	10	we	we	PRON
ijassa-86	36	11	consider	consider	VERB
ijassa-86	36	12	the	the	DET
ijassa-86	36	13	non	non	ADJ
ijassa-86	36	14	-	-	ADJ
ijassa-86	36	15	financial	financial	ADJ
ijassa-86	36	16	information	information	NOUN
ijassa-86	36	17	when	when	SCONJ
ijassa-86	36	18	we	we	PRON
ijassa-86	36	19	classify	classify	VERB
ijassa-86	36	20	smes	sme	NOUN
ijassa-86	36	21	by	by	ADP
ijassa-86	36	22	using	use	VERB
ijassa-86	36	23	fuzzy	fuzzy	ADJ
ijassa-86	36	24	approaches	approach	NOUN
ijassa-86	36	25	together	together	ADV
ijassa-86	36	26	with	with	ADP
ijassa-86	36	27	neural	neural	ADJ
ijassa-86	36	28	-	-	PUNCT
ijassa-86	36	29	network	network	NOUN
ijassa-86	36	30	.	.	PUNCT
ijassa-86	37	1	furthermore	furthermore	ADV
ijassa-86	37	2	,	,	PUNCT
ijassa-86	37	3	we	we	PRON
ijassa-86	37	4	conduct	conduct	VERB
ijassa-86	37	5	factor	factor	NOUN
ijassa-86	37	6	analysis	analysis	NOUN
ijassa-86	37	7	as	as	ADP
ijassa-86	37	8	a	a	DET
ijassa-86	37	9	pretreatment	pretreatment	NOUN
ijassa-86	37	10	process	process	NOUN
ijassa-86	37	11	to	to	PART
ijassa-86	37	12	reduce	reduce	VERB
ijassa-86	37	13	the	the	DET
ijassa-86	37	14	complexity	complexity	NOUN
ijassa-86	37	15	and	and	CCONJ
ijassa-86	37	16	detect	detect	VERB
ijassa-86	37	17	structure	structure	NOUN
ijassa-86	37	18	in	in	ADP
ijassa-86	37	19	the	the	DET
ijassa-86	37	20	relationships	relationship	NOUN
ijassa-86	37	21	between	between	ADP
ijassa-86	37	22	variables.in	variables.in	ADJ
ijassa-86	37	23	addition	addition	NOUN
ijassa-86	37	24	,	,	PUNCT
ijassa-86	37	25	we	we	PRON
ijassa-86	37	26	apply	apply	VERB
ijassa-86	37	27	analytic	analytic	ADJ
ijassa-86	37	28	hierarchy	hierarchy	NOUN
ijassa-86	37	29	process	process	NOUN
ijassa-86	37	30	to	to	PART
ijassa-86	37	31	get	get	VERB
ijassa-86	37	32	the	the	DET
ijassa-86	37	33	weights	weight	NOUN
ijassa-86	37	34	of	of	ADP
ijassa-86	37	35	non	non	ADJ
ijassa-86	37	36	-	-	ADJ
ijassa-86	37	37	financial	financial	ADJ
ijassa-86	37	38	conditions	condition	NOUN
ijassa-86	37	39	.	.	PUNCT
ijassa-86	38	1	the	the	DET
ijassa-86	38	2	input	input	NOUN
ijassa-86	38	3	vectors	vector	NOUN
ijassa-86	38	4	have	have	VERB
ijassa-86	38	5	5	5	NUM
ijassa-86	38	6	dimensions	dimension	NOUN
ijassa-86	38	7	,	,	PUNCT
ijassa-86	38	8	the	the	DET
ijassa-86	38	9	output	output	NOUN
ijassa-86	38	10	has	have	VERB
ijassa-86	38	11	only	only	ADV
ijassa-86	38	12	one	one	NUM
ijassa-86	38	13	dimension	dimension	NOUN
ijassa-86	38	14	.	.	PUNCT
ijassa-86	39	1	the	the	DET
ijassa-86	39	2	result	result	NOUN
ijassa-86	39	3	will	will	AUX
ijassa-86	39	4	show	show	VERB
ijassa-86	39	5	on	on	ADP
ijassa-86	39	6	roc	roc	PROPN
ijassa-86	39	7	curves	curve	NOUN
ijassa-86	39	8	.	.	PUNCT
ijassa-86	40	1	3	3	NUM
ijassa-86	40	2	data	datum	NOUN
ijassa-86	40	3	acquisition	acquisition	NOUN
ijassa-86	40	4	statistics	statistic	NOUN
ijassa-86	40	5	on	on	ADP
ijassa-86	40	6	smes	sme	NOUN
ijassa-86	40	7	are	be	AUX
ijassa-86	40	8	problematic	problematic	ADJ
ijassa-86	40	9	almost	almost	ADV
ijassa-86	40	10	by	by	ADP
ijassa-86	40	11	nature	nature	NOUN
ijassa-86	40	12	:	:	PUNCT
ijassa-86	40	13	the	the	DET
ijassa-86	40	14	majority	majority	NOUN
ijassa-86	40	15	of	of	ADP
ijassa-86	40	16	them	they	PRON
ijassa-86	40	17	are	be	AUX
ijassa-86	40	18	n’t	not	PART
ijassa-86	40	19	public	public	ADJ
ijassa-86	40	20	companies	company	NOUN
ijassa-86	40	21	and	and	CCONJ
ijassa-86	40	22	the	the	DET
ijassa-86	40	23	financial	financial	ADJ
ijassa-86	40	24	information	information	NOUN
ijassa-86	40	25	together	together	ADV
ijassa-86	40	26	with	with	ADP
ijassa-86	40	27	non	non	ADJ
ijassa-86	40	28	-	-	ADJ
ijassa-86	40	29	financial	financial	ADJ
ijassa-86	40	30	infor20	infor20	NOUN
ijassa-86	40	31	zhichun	zhichun	PROPN
ijassa-86	40	32	xu	xu	PROPN
ijassa-86	40	33	:	:	PUNCT
ijassa-86	40	34	empirical	empirical	ADJ
ijassa-86	40	35	analysis	analysis	NOUN
ijassa-86	40	36	of	of	ADP
ijassa-86	40	37	credit	credit	NOUN
ijassa-86	40	38	risk	risk	NOUN
ijassa-86	40	39	measure	measure	NOUN
ijassa-86	40	40	using	use	VERB
ijassa-86	40	41	fuzzy	fuzzy	ADJ
ijassa-86	40	42	adaptive	adaptive	ADJ
ijassa-86	40	43	neural	neural	ADJ
ijassa-86	40	44	-	-	PUNCT
ijassa-86	40	45	networks	network	NOUN
ijassa-86	40	46	.	.	PUNCT
ijassa-86	40	47	.	.	PUNCT
ijassa-86	40	48	.	.	PUNCT
ijassa-86	41	1	mation	mation	PROPN
ijassa-86	41	2	ca	can	AUX
ijassa-86	41	3	n’t	not	PART
ijassa-86	41	4	be	be	AUX
ijassa-86	41	5	obtained	obtain	VERB
ijassa-86	41	6	publicly	publicly	ADV
ijassa-86	41	7	.	.	PUNCT
ijassa-86	42	1	in	in	ADP
ijassa-86	42	2	contrast	contrast	NOUN
ijassa-86	42	3	to	to	ADP
ijassa-86	42	4	most	most	ADJ
ijassa-86	42	5	other	other	ADJ
ijassa-86	42	6	western	western	ADJ
ijassa-86	42	7	countries	country	NOUN
ijassa-86	42	8	,	,	PUNCT
ijassa-86	42	9	there	there	PRON
ijassa-86	42	10	is	be	VERB
ijassa-86	42	11	no	no	DET
ijassa-86	42	12	long	long	ADJ
ijassa-86	42	13	official	official	ADJ
ijassa-86	42	14	default	default	NOUN
ijassa-86	42	15	history	history	NOUN
ijassa-86	42	16	that	that	PRON
ijassa-86	42	17	can	can	AUX
ijassa-86	42	18	be	be	AUX
ijassa-86	42	19	used	use	VERB
ijassa-86	42	20	.	.	PUNCT
ijassa-86	43	1	only	only	ADV
ijassa-86	43	2	by	by	ADP
ijassa-86	43	3	combining	combine	VERB
ijassa-86	43	4	different	different	ADJ
ijassa-86	43	5	sources	source	NOUN
ijassa-86	43	6	,	,	PUNCT
ijassa-86	43	7	and	and	CCONJ
ijassa-86	43	8	expensive	expensive	ADJ
ijassa-86	43	9	and	and	CCONJ
ijassa-86	43	10	labor	labor	NOUN
ijassa-86	43	11	-	-	PUNCT
ijassa-86	43	12	intensive	intensive	ADJ
ijassa-86	43	13	process	process	NOUN
ijassa-86	43	14	,	,	PUNCT
ijassa-86	43	15	can	can	AUX
ijassa-86	43	16	a	a	DET
ijassa-86	43	17	usable	usable	ADJ
ijassa-86	43	18	database	database	NOUN
ijassa-86	43	19	of	of	ADP
ijassa-86	43	20	default	default	NOUN
ijassa-86	43	21	be	be	AUX
ijassa-86	43	22	constructed	construct	VERB
ijassa-86	43	23	.	.	PUNCT
ijassa-86	44	1	as	as	ADV
ijassa-86	44	2	far	far	ADV
ijassa-86	44	3	as	as	SCONJ
ijassa-86	44	4	default	default	NOUN
ijassa-86	44	5	companies	company	NOUN
ijassa-86	44	6	are	be	AUX
ijassa-86	44	7	concerned	concern	VERB
ijassa-86	44	8	,	,	PUNCT
ijassa-86	44	9	we	we	PRON
ijassa-86	44	10	adopt	adopt	VERB
ijassa-86	44	11	the	the	DET
ijassa-86	44	12	definition	definition	NOUN
ijassa-86	44	13	in	in	ADP
ijassa-86	44	14	the	the	DET
ijassa-86	44	15	basel	basel	PROPN
ijassa-86	44	16	accord	accord	PROPN
ijassa-86	44	17	ii	ii	PROPN
ijassa-86	44	18	.	.	PUNCT
ijassa-86	45	1	the	the	DET
ijassa-86	45	2	basel	basel	PROPN
ijassa-86	45	3	ii	ii	PROPN
ijassa-86	45	4	(	(	PUNCT
ijassa-86	45	5	2004	2004	NUM
ijassa-86	45	6	)	)	PUNCT
ijassa-86	45	7	suggest	suggest	VERB
ijassa-86	45	8	a	a	DET
ijassa-86	45	9	conservative	conservative	ADJ
ijassa-86	45	10	definition	definition	NOUN
ijassa-86	45	11	of	of	ADP
ijassa-86	45	12	default	default	NOUN
ijassa-86	45	13	for	for	ADP
ijassa-86	45	14	a	a	DET
ijassa-86	45	15	bank	bank	NOUN
ijassa-86	45	16	,	,	PUNCT
ijassa-86	45	17	that	that	SCONJ
ijassa-86	45	18	a	a	DET
ijassa-86	45	19	default	default	NOUN
ijassa-86	45	20	is	be	AUX
ijassa-86	45	21	considered	consider	VERB
ijassa-86	45	22	to	to	PART
ijassa-86	45	23	have	have	AUX
ijassa-86	45	24	occurred	occur	VERB
ijassa-86	45	25	with	with	ADP
ijassa-86	45	26	regard	regard	NOUN
ijassa-86	45	27	to	to	ADP
ijassa-86	45	28	a	a	DET
ijassa-86	45	29	particular	particular	ADJ
ijassa-86	45	30	obligor	obligor	NOUN
ijassa-86	45	31	when	when	SCONJ
ijassa-86	45	32	the	the	DET
ijassa-86	45	33	obligor	obligor	NOUN
ijassa-86	45	34	is	be	AUX
ijassa-86	45	35	past	past	ADJ
ijassa-86	45	36	due	due	ADJ
ijassa-86	45	37	more	more	ADJ
ijassa-86	45	38	than	than	ADP
ijassa-86	45	39	90	90	NUM
ijassa-86	45	40	days	day	NOUN
ijassa-86	45	41	on	on	ADP
ijassa-86	45	42	any	any	DET
ijassa-86	45	43	material	material	NOUN
ijassa-86	45	44	credit	credit	NOUN
ijassa-86	45	45	obligation	obligation	NOUN
ijassa-86	45	46	to	to	ADP
ijassa-86	45	47	the	the	DET
ijassa-86	45	48	banking	banking	NOUN
ijassa-86	45	49	group	group	NOUN
ijassa-86	45	50	,	,	PUNCT
ijassa-86	45	51	or	or	CCONJ
ijassa-86	45	52	the	the	DET
ijassa-86	45	53	bank	bank	NOUN
ijassa-86	45	54	considers	consider	VERB
ijassa-86	45	55	that	that	SCONJ
ijassa-86	45	56	the	the	DET
ijassa-86	45	57	obligor	obligor	NOUN
ijassa-86	45	58	is	be	AUX
ijassa-86	45	59	unlikely	unlikely	ADJ
ijassa-86	45	60	to	to	PART
ijassa-86	45	61	pay	pay	VERB
ijassa-86	45	62	its	its	PRON
ijassa-86	45	63	credit	credit	NOUN
ijassa-86	45	64	obligations	obligation	NOUN
ijassa-86	45	65	to	to	ADP
ijassa-86	45	66	the	the	DET
ijassa-86	45	67	banking	banking	NOUN
ijassa-86	45	68	group	group	NOUN
ijassa-86	45	69	in	in	ADP
ijassa-86	45	70	full	full	ADJ
ijassa-86	45	71	,	,	PUNCT
ijassa-86	45	72	without	without	ADP
ijassa-86	45	73	recourse	recourse	NOUN
ijassa-86	45	74	by	by	ADP
ijassa-86	45	75	the	the	DET
ijassa-86	45	76	bank	bank	NOUN
ijassa-86	45	77	to	to	ADP
ijassa-86	45	78	actions	action	NOUN
ijassa-86	45	79	such	such	ADJ
ijassa-86	45	80	as	as	ADP
ijassa-86	45	81	realizing	realize	VERB
ijassa-86	45	82	security	security	NOUN
ijassa-86	45	83	.	.	PUNCT
ijassa-86	46	1	the	the	DET
ijassa-86	46	2	accounting	accounting	NOUN
ijassa-86	46	3	data	datum	NOUN
ijassa-86	46	4	used	use	VERB
ijassa-86	46	5	in	in	ADP
ijassa-86	46	6	this	this	DET
ijassa-86	46	7	study	study	NOUN
ijassa-86	46	8	are	be	AUX
ijassa-86	46	9	collected	collect	VERB
ijassa-86	46	10	by	by	ADP
ijassa-86	46	11	a	a	DET
ijassa-86	46	12	state	state	NOUN
ijassa-86	46	13	-	-	PUNCT
ijassa-86	46	14	owned	own	VERB
ijassa-86	46	15	bank	bank	NOUN
ijassa-86	46	16	’s	’s	PART
ijassa-86	46	17	credit	credit	NOUN
ijassa-86	46	18	management	management	NOUN
ijassa-86	46	19	system	system	NOUN
ijassa-86	46	20	.	.	PUNCT
ijassa-86	47	1	because	because	SCONJ
ijassa-86	47	2	the	the	DET
ijassa-86	47	3	systems	system	NOUN
ijassa-86	47	4	have	have	AUX
ijassa-86	47	5	been	be	AUX
ijassa-86	47	6	run	run	VERB
ijassa-86	47	7	since	since	SCONJ
ijassa-86	47	8	2002	2002	NUM
ijassa-86	47	9	,	,	PUNCT
ijassa-86	47	10	we	we	PRON
ijassa-86	47	11	get	get	VERB
ijassa-86	47	12	the	the	DET
ijassa-86	47	13	data	datum	NOUN
ijassa-86	47	14	in	in	ADP
ijassa-86	47	15	the	the	DET
ijassa-86	47	16	period	period	NOUN
ijassa-86	47	17	between	between	ADP
ijassa-86	47	18	2002	2002	NUM
ijassa-86	47	19	and	and	CCONJ
ijassa-86	47	20	2008	2008	NUM
ijassa-86	47	21	.	.	PUNCT
ijassa-86	48	1	when	when	SCONJ
ijassa-86	48	2	a	a	DET
ijassa-86	48	3	firm	firm	NOUN
ijassa-86	48	4	is	be	AUX
ijassa-86	48	5	granted	grant	VERB
ijassa-86	48	6	a	a	DET
ijassa-86	48	7	credit	credit	NOUN
ijassa-86	48	8	rating	rating	NOUN
ijassa-86	48	9	by	by	ADP
ijassa-86	48	10	the	the	DET
ijassa-86	48	11	bank	bank	NOUN
ijassa-86	48	12	,	,	PUNCT
ijassa-86	48	13	the	the	DET
ijassa-86	48	14	bank	bank	NOUN
ijassa-86	48	15	’s	’s	PART
ijassa-86	48	16	loan	loan	NOUN
ijassa-86	48	17	managers	manager	NOUN
ijassa-86	48	18	are	be	AUX
ijassa-86	48	19	obliged	oblige	VERB
ijassa-86	48	20	to	to	PART
ijassa-86	48	21	register	register	VERB
ijassa-86	48	22	their	their	PRON
ijassa-86	48	23	customers	customer	NOUN
ijassa-86	48	24	’	'	PUNCT
ijassa-86	48	25	fixed	fix	VERB
ijassa-86	48	26	information	information	NOUN
ijassa-86	48	27	at	at	ADP
ijassa-86	48	28	first	first	ADJ
ijassa-86	48	29	time	time	NOUN
ijassa-86	48	30	together	together	ADV
ijassa-86	48	31	with	with	ADP
ijassa-86	48	32	accounting	accounting	NOUN
ijassa-86	48	33	report	report	NOUN
ijassa-86	48	34	each	each	DET
ijassa-86	48	35	quarter	quarter	NOUN
ijassa-86	48	36	of	of	ADP
ijassa-86	48	37	every	every	DET
ijassa-86	48	38	year	year	NOUN
ijassa-86	48	39	.	.	PUNCT
ijassa-86	49	1	during	during	ADP
ijassa-86	49	2	the	the	DET
ijassa-86	49	3	period	period	NOUN
ijassa-86	49	4	of	of	ADP
ijassa-86	49	5	2002	2002	NUM
ijassa-86	49	6	to	to	ADP
ijassa-86	49	7	2008	2008	NUM
ijassa-86	49	8	,	,	PUNCT
ijassa-86	49	9	a	a	DET
ijassa-86	49	10	total	total	NOUN
ijassa-86	49	11	of	of	ADP
ijassa-86	49	12	65	65	NUM
ijassa-86	49	13	loans	loan	NOUN
ijassa-86	49	14	are	be	AUX
ijassa-86	49	15	selected	select	VERB
ijassa-86	49	16	.	.	PUNCT
ijassa-86	50	1	the	the	DET
ijassa-86	50	2	data	datum	NOUN
ijassa-86	50	3	set	set	VERB
ijassa-86	50	4	comprises	comprise	NOUN
ijassa-86	50	5	of	of	ADP
ijassa-86	50	6	36	36	NUM
ijassa-86	50	7	good	good	ADJ
ijassa-86	50	8	loans	loan	NOUN
ijassa-86	50	9	(	(	PUNCT
ijassa-86	50	10	gl	gl	NOUN
ijassa-86	50	11	)	)	PUNCT
ijassa-86	50	12	and	and	CCONJ
ijassa-86	50	13	29	29	NUM
ijassa-86	50	14	bad	bad	ADJ
ijassa-86	50	15	(	(	PUNCT
ijassa-86	50	16	or	or	CCONJ
ijassa-86	50	17	default	default	NOUN
ijassa-86	50	18	)	)	PUNCT
ijassa-86	50	19	loans	loan	NOUN
ijassa-86	50	20	(	(	PUNCT
ijassa-86	50	21	bl	bl	INTJ
ijassa-86	50	22	)	)	PUNCT
ijassa-86	50	23	.	.	PUNCT
ijassa-86	51	1	all	all	DET
ijassa-86	51	2	loans	loan	NOUN
ijassa-86	51	3	are	be	AUX
ijassa-86	51	4	under	under	ADP
ijassa-86	51	5	the	the	DET
ijassa-86	51	6	normal	normal	ADJ
ijassa-86	51	7	loan	loan	NOUN
ijassa-86	51	8	scheme	scheme	NOUN
ijassa-86	51	9	.	.	PUNCT
ijassa-86	52	1	all	all	PRON
ijassa-86	52	2	of	of	ADP
ijassa-86	52	3	the	the	DET
ijassa-86	52	4	65	65	NUM
ijassa-86	52	5	loans	loan	NOUN
ijassa-86	52	6	correspond	correspond	VERB
ijassa-86	52	7	to	to	ADP
ijassa-86	52	8	65	65	NUM
ijassa-86	52	9	firms	firm	NOUN
ijassa-86	52	10	.	.	PUNCT
ijassa-86	53	1	the	the	DET
ijassa-86	53	2	financial	financial	ADJ
ijassa-86	53	3	conditions	condition	NOUN
ijassa-86	53	4	are	be	AUX
ijassa-86	53	5	collected	collect	VERB
ijassa-86	53	6	from	from	ADP
ijassa-86	53	7	the	the	DET
ijassa-86	53	8	credit	credit	NOUN
ijassa-86	53	9	management	management	NOUN
ijassa-86	53	10	system	system	NOUN
ijassa-86	53	11	.	.	PUNCT
ijassa-86	54	1	the	the	DET
ijassa-86	54	2	ratios	ratio	NOUN
ijassa-86	54	3	are	be	AUX
ijassa-86	54	4	calculated	calculate	VERB
ijassa-86	54	5	based	base	VERB
ijassa-86	54	6	on	on	ADP
ijassa-86	54	7	the	the	DET
ijassa-86	54	8	data	datum	NOUN
ijassa-86	54	9	in	in	ADP
ijassa-86	54	10	the	the	DET
ijassa-86	54	11	balance	balance	NOUN
ijassa-86	54	12	sheets	sheet	NOUN
ijassa-86	54	13	and	and	CCONJ
ijassa-86	54	14	income	income	NOUN
ijassa-86	54	15	statements	statement	NOUN
ijassa-86	54	16	.	.	PUNCT
ijassa-86	55	1	the	the	DET
ijassa-86	55	2	ratios	ratio	NOUN
ijassa-86	55	3	of	of	ADP
ijassa-86	55	4	the	the	DET
ijassa-86	55	5	default	default	NOUN
ijassa-86	55	6	firms	firm	NOUN
ijassa-86	55	7	are	be	AUX
ijassa-86	55	8	calculated	calculate	VERB
ijassa-86	55	9	by	by	ADP
ijassa-86	55	10	the	the	DET
ijassa-86	55	11	data	datum	NOUN
ijassa-86	55	12	of	of	ADP
ijassa-86	55	13	the	the	DET
ijassa-86	55	14	years	year	NOUN
ijassa-86	55	15	before	before	ADP
ijassa-86	55	16	default	default	NOUN
ijassa-86	55	17	.	.	PUNCT
ijassa-86	56	1	the	the	DET
ijassa-86	56	2	ratios	ratio	NOUN
ijassa-86	56	3	of	of	ADP
ijassa-86	56	4	the	the	DET
ijassa-86	56	5	good	good	ADJ
ijassa-86	56	6	firms	firm	NOUN
ijassa-86	56	7	are	be	AUX
ijassa-86	56	8	computed	compute	VERB
ijassa-86	56	9	by	by	ADP
ijassa-86	56	10	the	the	DET
ijassa-86	56	11	newest	new	ADJ
ijassa-86	56	12	data	datum	NOUN
ijassa-86	56	13	we	we	PRON
ijassa-86	56	14	can	can	AUX
ijassa-86	56	15	get	get	VERB
ijassa-86	56	16	.	.	PUNCT
ijassa-86	57	1	to	to	PART
ijassa-86	57	2	obtain	obtain	VERB
ijassa-86	57	3	the	the	DET
ijassa-86	57	4	objective	objective	ADJ
ijassa-86	57	5	evidence	evidence	NOUN
ijassa-86	57	6	according	accord	VERB
ijassa-86	57	7	to	to	ADP
ijassa-86	57	8	a	a	DET
ijassa-86	57	9	company	company	NOUN
ijassa-86	57	10	’s	’s	PART
ijassa-86	57	11	non	non	ADJ
ijassa-86	57	12	-	-	ADJ
ijassa-86	57	13	financial	financial	ADJ
ijassa-86	57	14	conditions	condition	NOUN
ijassa-86	57	15	,	,	PUNCT
ijassa-86	57	16	a	a	DET
ijassa-86	57	17	reliable	reliable	ADJ
ijassa-86	57	18	way	way	NOUN
ijassa-86	57	19	is	be	AUX
ijassa-86	57	20	to	to	PART
ijassa-86	57	21	collect	collect	VERB
ijassa-86	57	22	the	the	DET
ijassa-86	57	23	views	view	NOUN
ijassa-86	57	24	of	of	ADP
ijassa-86	57	25	experienced	experienced	ADJ
ijassa-86	57	26	bank	bank	NOUN
ijassa-86	57	27	loan	loan	NOUN
ijassa-86	57	28	officers	officer	NOUN
ijassa-86	57	29	who	who	PRON
ijassa-86	57	30	are	be	AUX
ijassa-86	57	31	asked	ask	VERB
ijassa-86	57	32	to	to	PART
ijassa-86	57	33	assess	assess	VERB
ijassa-86	57	34	the	the	DET
ijassa-86	57	35	degree	degree	NOUN
ijassa-86	57	36	of	of	ADP
ijassa-86	57	37	each	each	DET
ijassa-86	57	38	information	information	NOUN
ijassa-86	57	39	source	source	NOUN
ijassa-86	57	40	using	use	VERB
ijassa-86	57	41	five	five	NUM
ijassa-86	57	42	linguistic	linguistic	ADJ
ijassa-86	57	43	terms	term	NOUN
ijassa-86	57	44	,	,	PUNCT
ijassa-86	57	45	namely“very	namely“very	NOUN
ijassa-86	57	46	good”,“good”,“fair”,“bar	good”,“good”,“fair”,“bar	NOUN
ijassa-86	57	47	”	"	PUNCT
ijassa-86	57	48	,	,	PUNCT
ijassa-86	57	49	and“very	and“very	PROPN
ijassa-86	57	50	bad	bad	ADJ
ijassa-86	57	51	”	"	PUNCT
ijassa-86	57	52	.	.	PUNCT
ijassa-86	58	1	we	we	PRON
ijassa-86	58	2	collect	collect	VERB
ijassa-86	58	3	the	the	DET
ijassa-86	58	4	65	65	NUM
ijassa-86	58	5	firms	firm	NOUN
ijassa-86	58	6	’	'	PUNCT
ijassa-86	58	7	basic	basic	ADJ
ijassa-86	58	8	information	information	NOUN
ijassa-86	58	9	,	,	PUNCT
ijassa-86	58	10	and	and	CCONJ
ijassa-86	58	11	select	select	VERB
ijassa-86	58	12	12	12	NUM
ijassa-86	58	13	factors	factor	NOUN
ijassa-86	58	14	representing	represent	VERB
ijassa-86	58	15	4	4	NUM
ijassa-86	58	16	kinds	kind	NOUN
ijassa-86	58	17	of	of	ADP
ijassa-86	58	18	abilities	ability	NOUN
ijassa-86	58	19	.	.	PUNCT
ijassa-86	59	1	the	the	DET
ijassa-86	59	2	12	12	NUM
ijassa-86	59	3	non	non	ADJ
ijassa-86	59	4	-	-	ADJ
ijassa-86	59	5	financial	financial	ADJ
ijassa-86	59	6	factors	factor	NOUN
ijassa-86	59	7	are	be	AUX
ijassa-86	59	8	selected	select	VERB
ijassa-86	59	9	referring	refer	VERB
ijassa-86	59	10	to	to	ADP
ijassa-86	59	11	the	the	DET
ijassa-86	59	12	practices	practice	NOUN
ijassa-86	59	13	of	of	ADP
ijassa-86	59	14	loan	loan	NOUN
ijassa-86	59	15	risk	risk	NOUN
ijassa-86	59	16	classification	classification	NOUN
ijassa-86	59	17	of	of	ADP
ijassa-86	59	18	chinese	chinese	ADJ
ijassa-86	59	19	commercial	commercial	ADJ
ijassa-86	59	20	banks	bank	NOUN
ijassa-86	59	21	.	.	PUNCT
ijassa-86	60	1	we	we	PRON
ijassa-86	60	2	produce	produce	VERB
ijassa-86	60	3	consulting	consulting	NOUN
ijassa-86	60	4	tables	table	NOUN
ijassa-86	60	5	and	and	CCONJ
ijassa-86	60	6	distribute	distribute	VERB
ijassa-86	60	7	them	they	PRON
ijassa-86	60	8	to	to	ADP
ijassa-86	60	9	30	30	NUM
ijassa-86	60	10	bank	bank	NOUN
ijassa-86	60	11	’s	’s	PART
ijassa-86	60	12	account	account	NOUN
ijassa-86	60	13	managers	manager	NOUN
ijassa-86	60	14	and	and	CCONJ
ijassa-86	60	15	loan	loan	NOUN
ijassa-86	60	16	officers	officer	NOUN
ijassa-86	60	17	,	,	PUNCT
ijassa-86	60	18	and	and	CCONJ
ijassa-86	60	19	receive	receive	VERB
ijassa-86	60	20	24	24	NUM
ijassa-86	60	21	answers	answer	NOUN
ijassa-86	60	22	.	.	PUNCT
ijassa-86	61	1	the	the	DET
ijassa-86	61	2	answers	answer	NOUN
ijassa-86	61	3	are	be	AUX
ijassa-86	61	4	expressed	express	VERB
ijassa-86	61	5	by	by	ADP
ijassa-86	61	6	the	the	DET
ijassa-86	61	7	above	above	ADJ
ijassa-86	61	8	five	five	NUM
ijassa-86	61	9	linguistic	linguistic	ADJ
ijassa-86	61	10	.	.	PUNCT
ijassa-86	62	1	all	all	DET
ijassa-86	62	2	the	the	DET
ijassa-86	62	3	financial	financial	ADJ
ijassa-86	62	4	conditions	condition	NOUN
ijassa-86	62	5	and	and	CCONJ
ijassa-86	62	6	non	non	ADJ
ijassa-86	62	7	-	-	ADJ
ijassa-86	62	8	financial	financial	ADJ
ijassa-86	62	9	conditions	condition	NOUN
ijassa-86	62	10	are	be	AUX
ijassa-86	62	11	listed	list	VERB
ijassa-86	62	12	in	in	ADP
ijassa-86	62	13	table	table	NOUN
ijassa-86	62	14	1	1	NUM
ijassa-86	62	15	.	.	SYM
ijassa-86	62	16	4	4	NUM
ijassa-86	62	17	feature	feature	NOUN
ijassa-86	62	18	selection	selection	NOUN
ijassa-86	62	19	and	and	CCONJ
ijassa-86	62	20	factor	factor	NOUN
ijassa-86	62	21	formation	formation	NOUN
ijassa-86	62	22	described	describe	VERB
ijassa-86	62	23	as	as	ADP
ijassa-86	62	24	above	above	ADP
ijassa-86	62	25	section	section	NOUN
ijassa-86	62	26	,	,	PUNCT
ijassa-86	62	27	the	the	DET
ijassa-86	62	28	financial	financial	ADJ
ijassa-86	62	29	conditions	condition	NOUN
ijassa-86	62	30	listed	list	VERB
ijassa-86	62	31	as	as	ADP
ijassa-86	62	32	table	table	NOUN
ijassa-86	62	33	1	1	NUM
ijassa-86	62	34	have	have	VERB
ijassa-86	62	35	10	10	NUM
ijassa-86	62	36	items	item	NOUN
ijassa-86	62	37	and	and	CCONJ
ijassa-86	62	38	non	non	ADJ
ijassa-86	62	39	-	-	ADJ
ijassa-86	62	40	financial	financial	ADJ
ijassa-86	62	41	conditions	condition	NOUN
ijassa-86	62	42	have	have	VERB
ijassa-86	62	43	12	12	NUM
ijassa-86	62	44	items	item	NOUN
ijassa-86	62	45	.	.	PUNCT
ijassa-86	63	1	if	if	SCONJ
ijassa-86	63	2	all	all	PRON
ijassa-86	63	3	of	of	ADP
ijassa-86	63	4	them	they	PRON
ijassa-86	63	5	are	be	AUX
ijassa-86	63	6	used	use	VERB
ijassa-86	63	7	as	as	ADP
ijassa-86	63	8	inputs	input	NOUN
ijassa-86	63	9	when	when	SCONJ
ijassa-86	63	10	we	we	PRON
ijassa-86	63	11	train	train	VERB
ijassa-86	63	12	fuzzy	fuzzy	ADJ
ijassa-86	63	13	adaptive	adaptive	ADJ
ijassa-86	63	14	neural	neural	ADJ
ijassa-86	63	15	network	network	NOUN
ijassa-86	63	16	,	,	PUNCT
ijassa-86	63	17	the	the	DET
ijassa-86	63	18	nodes	node	NOUN
ijassa-86	63	19	in	in	ADP
ijassa-86	63	20	hidden	hidden	ADJ
ijassa-86	63	21	layer	layer	NOUN
ijassa-86	63	22	will	will	AUX
ijassa-86	63	23	become	become	VERB
ijassa-86	63	24	too	too	ADV
ijassa-86	63	25	large	large	ADJ
ijassa-86	63	26	to	to	PART
ijassa-86	63	27	properly	properly	ADV
ijassa-86	63	28	work	work	VERB
ijassa-86	63	29	.	.	PUNCT
ijassa-86	64	1	in	in	ADP
ijassa-86	64	2	order	order	NOUN
ijassa-86	64	3	to	to	PART
ijassa-86	64	4	reduce	reduce	VERB
ijassa-86	64	5	the	the	DET
ijassa-86	64	6	number	number	NOUN
ijassa-86	64	7	of	of	ADP
ijassa-86	64	8	variables	variable	NOUN
ijassa-86	64	9	and	and	CCONJ
ijassa-86	64	10	to	to	ADP
ijassa-86	64	11	advances	advance	NOUN
ijassa-86	64	12	in	in	ADP
ijassa-86	64	13	systems	system	NOUN
ijassa-86	64	14	science	science	NOUN
ijassa-86	64	15	and	and	CCONJ
ijassa-86	64	16	applications	application	NOUN
ijassa-86	64	17	(	(	PUNCT
ijassa-86	64	18	2012	2012	NUM
ijassa-86	64	19	)	)	PUNCT
ijassa-86	64	20	vol.12	vol.12	NOUN
ijassa-86	64	21	no.1	no.1	X
ijassa-86	64	22	21	21	NUM
ijassa-86	64	23	detect	detect	NOUN
ijassa-86	64	24	structure	structure	NOUN
ijassa-86	64	25	in	in	ADP
ijassa-86	64	26	the	the	DET
ijassa-86	64	27	relationships	relationship	NOUN
ijassa-86	64	28	between	between	ADP
ijassa-86	64	29	variables	variable	NOUN
ijassa-86	64	30	,	,	PUNCT
ijassa-86	64	31	an	an	DET
ijassa-86	64	32	effective	effective	ADJ
ijassa-86	64	33	method	method	NOUN
ijassa-86	64	34	to	to	PART
ijassa-86	64	35	deal	deal	VERB
ijassa-86	64	36	with	with	ADP
ijassa-86	64	37	financial	financial	ADJ
ijassa-86	64	38	conditions	condition	NOUN
ijassa-86	64	39	is	be	AUX
ijassa-86	64	40	the	the	DET
ijassa-86	64	41	application	application	NOUN
ijassa-86	64	42	of	of	ADP
ijassa-86	64	43	factor	factor	NOUN
ijassa-86	64	44	analytic	analytic	ADJ
ijassa-86	64	45	techniques	technique	NOUN
ijassa-86	64	46	.	.	PUNCT
ijassa-86	65	1	we	we	PRON
ijassa-86	65	2	can	can	AUX
ijassa-86	65	3	combine	combine	VERB
ijassa-86	65	4	the	the	DET
ijassa-86	65	5	variables	variable	NOUN
ijassa-86	65	6	into	into	ADP
ijassa-86	65	7	several	several	ADJ
ijassa-86	65	8	factors	factor	NOUN
ijassa-86	65	9	and	and	CCONJ
ijassa-86	65	10	reduce	reduce	VERB
ijassa-86	65	11	the	the	DET
ijassa-86	65	12	complexity	complexity	NOUN
ijassa-86	65	13	.	.	PUNCT
ijassa-86	66	1	table	table	NOUN
ijassa-86	66	2	1	1	NUM
ijassa-86	66	3	variables	variable	NOUN
ijassa-86	66	4	used	use	VERB
ijassa-86	66	5	in	in	ADP
ijassa-86	66	6	the	the	DET
ijassa-86	66	7	model	model	NOUN
ijassa-86	66	8	financial	financial	ADJ
ijassa-86	66	9	conditions(f	conditions(f	PROPN
ijassa-86	66	10	)	)	PUNCT
ijassa-86	66	11	non	non	ADJ
ijassa-86	66	12	-	-	ADJ
ijassa-86	66	13	financial	financial	ADJ
ijassa-86	66	14	conditions	condition	NOUN
ijassa-86	66	15	−−debt	−−debt	NUM
ijassa-86	66	16	payment	payment	NOUN
ijassa-86	66	17	ability	ability	NOUN
ijassa-86	66	18	−−debt	−−debt	NUM
ijassa-86	66	19	payment	payment	NOUN
ijassa-86	66	20	ability(nf1	ability(nf1	NOUN
ijassa-86	66	21	)	)	PUNCT
ijassa-86	66	22	debt	debt	NOUN
ijassa-86	66	23	-	-	PUNCT
ijassa-86	66	24	to	to	ADP
ijassa-86	66	25	-	-	PUNCT
ijassa-86	66	26	asset	asset	NOUN
ijassa-86	66	27	ratio(f1	ratio(f1	NOUN
ijassa-86	66	28	)	)	PUNCT
ijassa-86	66	29	period	period	NOUN
ijassa-86	66	30	matching	matching	NOUN
ijassa-86	66	31	of	of	ADP
ijassa-86	66	32	liabilities	liability	NOUN
ijassa-86	66	33	and	and	CCONJ
ijassa-86	66	34	assets(nf11	assets(nf11	PROPN
ijassa-86	66	35	)	)	PUNCT
ijassa-86	66	36	quick	quick	ADJ
ijassa-86	66	37	ratio(f2	ratio(f2	NOUN
ijassa-86	66	38	)	)	PUNCT
ijassa-86	66	39	ability	ability	NOUN
ijassa-86	66	40	of	of	ADP
ijassa-86	66	41	financing	financing	NOUN
ijassa-86	66	42	from	from	ADP
ijassa-86	66	43	outside	outside	ADV
ijassa-86	66	44	in	in	ADP
ijassa-86	66	45	time(nf12	time(nf12	NOUN
ijassa-86	66	46	)	)	PUNCT
ijassa-86	66	47	current	current	ADJ
ijassa-86	66	48	ratio(f3	ratio(f3	X
ijassa-86	66	49	)	)	PUNCT
ijassa-86	66	50	collateral(nf3	collateral(nf3	PROPN
ijassa-86	66	51	)	)	PUNCT
ijassa-86	66	52	−−	−−	NOUN
ijassa-86	66	53	earning	earn	VERB
ijassa-86	66	54	ability(nf2	ability(nf2	ADJ
ijassa-86	66	55	)	)	PUNCT
ijassa-86	66	56	−−	−−	NOUN
ijassa-86	66	57	earning	earn	VERB
ijassa-86	66	58	ability	ability	NOUN
ijassa-86	66	59	sustained	sustain	VERB
ijassa-86	66	60	profitability(nf21	profitability(nf21	NOUN
ijassa-86	66	61	)	)	PUNCT
ijassa-86	66	62	return	return	NOUN
ijassa-86	66	63	on	on	ADP
ijassa-86	66	64	assets(f4	assets(f4	NOUN
ijassa-86	66	65	)	)	PUNCT
ijassa-86	66	66	core	core	NOUN
ijassa-86	66	67	business(nf22	business(nf22	NOUN
ijassa-86	66	68	)	)	PUNCT
ijassa-86	66	69	return	return	NOUN
ijassa-86	66	70	on	on	ADP
ijassa-86	66	71	net	net	ADJ
ijassa-86	66	72	sales(f5	sales(f5	NOUN
ijassa-86	66	73	)	)	PUNCT
ijassa-86	66	74	quality	quality	NOUN
ijassa-86	66	75	of	of	ADP
ijassa-86	66	76	profit(nf23	profit(nf23	PROPN
ijassa-86	66	77	)	)	PUNCT
ijassa-86	66	78	−−	−−	NOUN
ijassa-86	66	79	management	management	NOUN
ijassa-86	66	80	ability	ability	NOUN
ijassa-86	66	81	−−	−−	NOUN
ijassa-86	66	82	management	management	NOUN
ijassa-86	66	83	ability(nf3	ability(nf3	PROPN
ijassa-86	66	84	)	)	PUNCT
ijassa-86	66	85	total	total	ADJ
ijassa-86	66	86	assets	asset	NOUN
ijassa-86	66	87	turnover(f6	turnover(f6	NUM
ijassa-86	66	88	)	)	PUNCT
ijassa-86	66	89	innovation	innovation	NOUN
ijassa-86	66	90	ability(nf31	ability(nf31	PROPN
ijassa-86	66	91	)	)	PUNCT
ijassa-86	66	92	inventory	inventory	NOUN
ijassa-86	66	93	turnover(f7	turnover(f7	NOUN
ijassa-86	66	94	)	)	PUNCT
ijassa-86	66	95	customer	customer	NOUN
ijassa-86	66	96	degree	degree	NOUN
ijassa-86	66	97	of	of	ADP
ijassa-86	66	98	satisfaction(nf32	satisfaction(nf32	NOUN
ijassa-86	66	99	)	)	PUNCT
ijassa-86	66	100	equipment	equipment	NOUN
ijassa-86	66	101	and	and	CCONJ
ijassa-86	66	102	technologies(nf33	technologies(nf33	ADV
ijassa-86	66	103	)	)	PUNCT
ijassa-86	66	104	−−	−−	NOUN
ijassa-86	66	105	growth	growth	NOUN
ijassa-86	66	106	ability	ability	NOUN
ijassa-86	66	107	−−characteristics	−−characteristic	NOUN
ijassa-86	66	108	of	of	ADP
ijassa-86	66	109	company	company	NOUN
ijassa-86	66	110	and	and	CCONJ
ijassa-86	66	111	owner(nf4	owner(nf4	ADJ
ijassa-86	66	112	)	)	PUNCT
ijassa-86	66	113	sale	sale	NOUN
ijassa-86	66	114	growth	growth	NOUN
ijassa-86	66	115	ratio(f8	ratio(f8	NOUN
ijassa-86	66	116	)	)	PUNCT
ijassa-86	66	117	education	education	NOUN
ijassa-86	66	118	degree	degree	NOUN
ijassa-86	66	119	of	of	ADP
ijassa-86	66	120	the	the	DET
ijassa-86	66	121	owner(nf41	owner(nf41	NOUN
ijassa-86	66	122	)	)	PUNCT
ijassa-86	66	123	net	net	ADJ
ijassa-86	66	124	asset	asset	NOUN
ijassa-86	66	125	growth	growth	NOUN
ijassa-86	66	126	ratio(f9	ratio(f9	NOUN
ijassa-86	66	127	)	)	PUNCT
ijassa-86	66	128	moral	moral	ADJ
ijassa-86	66	129	behavior	behavior	NOUN
ijassa-86	66	130	of	of	ADP
ijassa-86	66	131	the	the	DET
ijassa-86	66	132	owner(nf42	owner(nf42	NUM
ijassa-86	66	133	)	)	PUNCT
ijassa-86	66	134	net	net	ADJ
ijassa-86	66	135	profit	profit	NOUN
ijassa-86	66	136	growth	growth	NOUN
ijassa-86	66	137	ratio(f10	ratio(f10	NOUN
ijassa-86	66	138	)	)	PUNCT
ijassa-86	66	139	specifications	specification	NOUN
ijassa-86	66	140	of	of	ADP
ijassa-86	66	141	management(nf43	management(nf43	NOUN
ijassa-86	66	142	)	)	PUNCT
ijassa-86	66	143	differ	differ	VERB
ijassa-86	66	144	from	from	ADP
ijassa-86	66	145	those	those	DET
ijassa-86	66	146	financial	financial	ADJ
ijassa-86	66	147	conditions	condition	NOUN
ijassa-86	66	148	can	can	AUX
ijassa-86	66	149	be	be	AUX
ijassa-86	66	150	expressed	express	VERB
ijassa-86	66	151	by	by	ADP
ijassa-86	66	152	numerical	numerical	ADJ
ijassa-86	66	153	ratios	ratio	NOUN
ijassa-86	66	154	,	,	PUNCT
ijassa-86	66	155	non	non	ADJ
ijassa-86	66	156	-	-	ADJ
ijassa-86	66	157	financial	financial	ADJ
ijassa-86	66	158	conditions	condition	NOUN
ijassa-86	66	159	are	be	AUX
ijassa-86	66	160	the	the	DET
ijassa-86	66	161	problem	problem	NOUN
ijassa-86	66	162	we	we	PRON
ijassa-86	66	163	must	must	AUX
ijassa-86	66	164	seriously	seriously	ADV
ijassa-86	66	165	consider	consider	VERB
ijassa-86	66	166	.	.	PUNCT
ijassa-86	67	1	as	as	ADP
ijassa-86	67	2	a	a	DET
ijassa-86	67	3	result	result	NOUN
ijassa-86	67	4	,	,	PUNCT
ijassa-86	67	5	we	we	PRON
ijassa-86	67	6	firstly	firstly	ADV
ijassa-86	67	7	put	put	VERB
ijassa-86	67	8	our	our	PRON
ijassa-86	67	9	focuses	focus	NOUN
ijassa-86	67	10	on	on	ADP
ijassa-86	67	11	the	the	DET
ijassa-86	67	12	fuzzy	fuzzy	ADJ
ijassa-86	67	13	processing	processing	NOUN
ijassa-86	67	14	of	of	ADP
ijassa-86	67	15	non	non	ADJ
ijassa-86	67	16	-	-	ADJ
ijassa-86	67	17	financial	financial	ADJ
ijassa-86	67	18	information	information	NOUN
ijassa-86	67	19	.	.	PUNCT
ijassa-86	68	1	similar	similar	ADJ
ijassa-86	68	2	to	to	ADP
ijassa-86	68	3	the	the	DET
ijassa-86	68	4	work	work	NOUN
ijassa-86	68	5	of	of	ADP
ijassa-86	68	6	jiao(2007	jiao(2007	NOUN
ijassa-86	68	7	)	)	PUNCT
ijassa-86	68	8	,	,	PUNCT
ijassa-86	68	9	our	our	PRON
ijassa-86	68	10	purpose	purpose	NOUN
ijassa-86	68	11	is	be	AUX
ijassa-86	68	12	to	to	PART
ijassa-86	68	13	get	get	VERB
ijassa-86	68	14	an	an	DET
ijassa-86	68	15	aggregative	aggregative	ADJ
ijassa-86	68	16	score	score	NOUN
ijassa-86	68	17	to	to	PART
ijassa-86	68	18	express	express	VERB
ijassa-86	68	19	the	the	DET
ijassa-86	68	20	information	information	NOUN
ijassa-86	68	21	.	.	PUNCT
ijassa-86	69	1	in	in	ADP
ijassa-86	69	2	order	order	NOUN
ijassa-86	69	3	to	to	PART
ijassa-86	69	4	get	get	VERB
ijassa-86	69	5	the	the	DET
ijassa-86	69	6	total	total	ADJ
ijassa-86	69	7	score	score	NOUN
ijassa-86	69	8	,	,	PUNCT
ijassa-86	69	9	we	we	PRON
ijassa-86	69	10	should	should	AUX
ijassa-86	69	11	calculate	calculate	VERB
ijassa-86	69	12	the	the	DET
ijassa-86	69	13	objective	objective	ADJ
ijassa-86	69	14	evidence	evidence	NOUN
ijassa-86	69	15	of	of	ADP
ijassa-86	69	16	each	each	DET
ijassa-86	69	17	information	information	NOUN
ijassa-86	69	18	source	source	NOUN
ijassa-86	69	19	.	.	PUNCT
ijassa-86	70	1	to	to	PART
ijassa-86	70	2	obtain	obtain	VERB
ijassa-86	70	3	the	the	DET
ijassa-86	70	4	objective	objective	ADJ
ijassa-86	70	5	evidence	evidence	NOUN
ijassa-86	70	6	according	accord	VERB
ijassa-86	70	7	to	to	ADP
ijassa-86	70	8	a	a	DET
ijassa-86	70	9	company	company	NOUN
ijassa-86	70	10	’s	’s	PART
ijassa-86	70	11	non	non	ADJ
ijassa-86	70	12	-	-	ADJ
ijassa-86	70	13	financial	financial	ADJ
ijassa-86	70	14	conditions	condition	NOUN
ijassa-86	70	15	,	,	PUNCT
ijassa-86	70	16	we	we	PRON
ijassa-86	70	17	get	get	VERB
ijassa-86	70	18	five	five	NUM
ijassa-86	70	19	linguistic	linguistic	ADJ
ijassa-86	70	20	expressions	expression	NOUN
ijassa-86	70	21	by	by	ADP
ijassa-86	70	22	the	the	DET
ijassa-86	70	23	above	above	ADJ
ijassa-86	70	24	section	section	NOUN
ijassa-86	70	25	’s	’s	PART
ijassa-86	70	26	methods	method	NOUN
ijassa-86	70	27	.	.	PUNCT
ijassa-86	71	1	for	for	ADP
ijassa-86	71	2	the	the	DET
ijassa-86	71	3	subsequent	subsequent	ADJ
ijassa-86	71	4	fuzzy	fuzzy	ADJ
ijassa-86	71	5	operations	operation	NOUN
ijassa-86	71	6	,	,	PUNCT
ijassa-86	71	7	these	these	DET
ijassa-86	71	8	linguistic	linguistic	ADJ
ijassa-86	71	9	terms	term	NOUN
ijassa-86	71	10	should	should	AUX
ijassa-86	71	11	be	be	AUX
ijassa-86	71	12	translated	translate	VERB
ijassa-86	71	13	into	into	ADP
ijassa-86	71	14	fuzzy	fuzzy	ADJ
ijassa-86	71	15	numbers	number	NOUN
ijassa-86	71	16	.	.	PUNCT
ijassa-86	72	1	we	we	PRON
ijassa-86	72	2	use	use	VERB
ijassa-86	72	3	five	five	NUM
ijassa-86	72	4	triangular	triangular	ADJ
ijassa-86	72	5	fuzzy	fuzzy	ADJ
ijassa-86	72	6	numbers	number	NOUN
ijassa-86	72	7	to	to	PART
ijassa-86	72	8	describe	describe	VERB
ijassa-86	72	9	these	these	DET
ijassa-86	72	10	linguistic	linguistic	ADJ
ijassa-86	72	11	terms	term	NOUN
ijassa-86	72	12	according	accord	VERB
ijassa-86	72	13	to	to	ADP
ijassa-86	72	14	a	a	DET
ijassa-86	72	15	kind	kind	NOUN
ijassa-86	72	16	of	of	ADP
ijassa-86	72	17	conversion	conversion	NOUN
ijassa-86	72	18	scale	scale	NOUN
ijassa-86	72	19	.	.	PUNCT
ijassa-86	73	1	the	the	DET
ijassa-86	73	2	definitions	definition	NOUN
ijassa-86	73	3	of	of	ADP
ijassa-86	73	4	these	these	DET
ijassa-86	73	5	fuzzy	fuzzy	ADJ
ijassa-86	73	6	numbers	number	NOUN
ijassa-86	73	7	are	be	AUX
ijassa-86	73	8	(	(	PUNCT
ijassa-86	73	9	80	80	NUM
ijassa-86	73	10	,	,	PUNCT
ijassa-86	73	11	90	90	NUM
ijassa-86	73	12	,	,	PUNCT
ijassa-86	73	13	90	90	NUM
ijassa-86	73	14	)	)	PUNCT
ijassa-86	73	15	,	,	PUNCT
ijassa-86	73	16	(	(	PUNCT
ijassa-86	73	17	70	70	NUM
ijassa-86	73	18	,	,	PUNCT
ijassa-86	73	19	80	80	NUM
ijassa-86	73	20	,	,	PUNCT
ijassa-86	73	21	90	90	NUM
ijassa-86	73	22	)	)	PUNCT
ijassa-86	73	23	,	,	PUNCT
ijassa-86	73	24	(	(	PUNCT
ijassa-86	73	25	60	60	NUM
ijassa-86	73	26	,	,	PUNCT
ijassa-86	73	27	70	70	NUM
ijassa-86	73	28	,	,	PUNCT
ijassa-86	73	29	80	80	NUM
ijassa-86	73	30	)	)	PUNCT
ijassa-86	73	31	,	,	PUNCT
ijassa-86	73	32	(	(	PUNCT
ijassa-86	73	33	50	50	NUM
ijassa-86	73	34	,	,	PUNCT
ijassa-86	73	35	60	60	NUM
ijassa-86	73	36	,	,	PUNCT
ijassa-86	73	37	70	70	NUM
ijassa-86	73	38	)	)	PUNCT
ijassa-86	73	39	,	,	PUNCT
ijassa-86	73	40	and	and	CCONJ
ijassa-86	73	41	(	(	PUNCT
ijassa-86	73	42	50	50	NUM
ijassa-86	73	43	,	,	PUNCT
ijassa-86	73	44	50	50	NUM
ijassa-86	73	45	,	,	PUNCT
ijassa-86	73	46	70	70	NUM
ijassa-86	73	47	)	)	PUNCT
ijassa-86	73	48	,	,	PUNCT
ijassa-86	73	49	respectively	respectively	ADV
ijassa-86	73	50	,	,	PUNCT
ijassa-86	73	51	as	as	SCONJ
ijassa-86	73	52	shown	show	VERB
ijassa-86	73	53	in	in	ADP
ijassa-86	73	54	fig.1	fig.1	PROPN
ijassa-86	73	55	.	.	PUNCT
ijassa-86	74	1	by	by	ADP
ijassa-86	74	2	the	the	DET
ijassa-86	74	3	fuzzy	fuzzy	ADJ
ijassa-86	74	4	numbers	number	NOUN
ijassa-86	74	5	,	,	PUNCT
ijassa-86	74	6	we	we	PRON
ijassa-86	74	7	can	can	AUX
ijassa-86	74	8	compute	compute	VERB
ijassa-86	74	9	the	the	DET
ijassa-86	74	10	average	average	ADJ
ijassa-86	74	11	numbers	number	NOUN
ijassa-86	74	12	of	of	ADP
ijassa-86	74	13	the	the	DET
ijassa-86	74	14	non	non	ADJ
ijassa-86	74	15	-	-	ADJ
ijassa-86	74	16	financial	financial	ADJ
ijassa-86	74	17	conditions	condition	NOUN
ijassa-86	74	18	of	of	ADP
ijassa-86	74	19	each	each	DET
ijassa-86	74	20	firm	firm	NOUN
ijassa-86	74	21	.	.	PUNCT
ijassa-86	75	1	it	it	PRON
ijassa-86	75	2	should	should	AUX
ijassa-86	75	3	be	be	AUX
ijassa-86	75	4	noted	note	VERB
ijassa-86	75	5	that	that	SCONJ
ijassa-86	75	6	another	another	DET
ijassa-86	75	7	problem	problem	NOUN
ijassa-86	75	8	is	be	AUX
ijassa-86	75	9	to	to	PART
ijassa-86	75	10	decide	decide	VERB
ijassa-86	75	11	the	the	DET
ijassa-86	75	12	weighting	weighting	NOUN
ijassa-86	75	13	of	of	ADP
ijassa-86	75	14	each	each	DET
ijassa-86	75	15	nonfinancial	nonfinancial	ADJ
ijassa-86	75	16	criterion	criterion	NOUN
ijassa-86	75	17	.	.	PUNCT
ijassa-86	76	1	since	since	SCONJ
ijassa-86	76	2	this	this	DET
ijassa-86	76	3	weighting	weighting	NOUN
ijassa-86	76	4	depends	depend	VERB
ijassa-86	76	5	on	on	ADP
ijassa-86	76	6	the	the	DET
ijassa-86	76	7	particular	particular	ADJ
ijassa-86	76	8	problem	problem	NOUN
ijassa-86	76	9	at	at	ADP
ijassa-86	76	10	a	a	DET
ijassa-86	76	11	particular	particular	ADJ
ijassa-86	76	12	time	time	NOUN
ijassa-86	76	13	,	,	PUNCT
ijassa-86	76	14	the	the	DET
ijassa-86	76	15	decision	decision	NOUN
ijassa-86	76	16	-	-	PUNCT
ijassa-86	76	17	maker	maker	NOUN
ijassa-86	76	18	usually	usually	ADV
ijassa-86	76	19	determines	determine	VERB
ijassa-86	76	20	it	it	PRON
ijassa-86	76	21	.	.	PUNCT
ijassa-86	77	1	an	an	DET
ijassa-86	77	2	effective	effective	ADJ
ijassa-86	77	3	method	method	NOUN
ijassa-86	77	4	to	to	ADP
ijassa-86	77	5	22	22	NUM
ijassa-86	77	6	zhichun	zhichun	PROPN
ijassa-86	77	7	xu	xu	PROPN
ijassa-86	77	8	:	:	PUNCT
ijassa-86	77	9	empirical	empirical	ADJ
ijassa-86	77	10	analysis	analysis	NOUN
ijassa-86	77	11	of	of	ADP
ijassa-86	77	12	credit	credit	NOUN
ijassa-86	77	13	risk	risk	NOUN
ijassa-86	77	14	measure	measure	NOUN
ijassa-86	77	15	using	use	VERB
ijassa-86	77	16	fuzzy	fuzzy	ADJ
ijassa-86	77	17	adaptive	adaptive	ADJ
ijassa-86	77	18	neural	neural	ADJ
ijassa-86	77	19	-	-	PUNCT
ijassa-86	77	20	networks	network	NOUN
ijassa-86	77	21	.	.	PUNCT
ijassa-86	77	22	.	.	PUNCT
ijassa-86	77	23	.	.	PUNCT
ijassa-86	78	1	fig.1	fig.1	ADJ
ijassa-86	78	2	membership	membership	NOUN
ijassa-86	78	3	functions	function	NOUN
ijassa-86	78	4	of	of	ADP
ijassa-86	78	5	the	the	DET
ijassa-86	78	6	five	five	NUM
ijassa-86	78	7	rating	rating	NOUN
ijassa-86	78	8	levels	level	NOUN
ijassa-86	78	9	for	for	ADP
ijassa-86	78	10	non	non	ADJ
ijassa-86	78	11	-	-	ADJ
ijassa-86	78	12	financial	financial	ADJ
ijassa-86	78	13	conditions	condition	NOUN
ijassa-86	78	14	build	build	VERB
ijassa-86	78	15	up	up	ADP
ijassa-86	78	16	the	the	DET
ijassa-86	78	17	weighting	weighting	NOUN
ijassa-86	78	18	structure	structure	NOUN
ijassa-86	78	19	is	be	AUX
ijassa-86	78	20	analytic	analytic	ADJ
ijassa-86	78	21	hierarchy	hierarchy	NOUN
ijassa-86	78	22	process	process	NOUN
ijassa-86	78	23	.	.	PUNCT
ijassa-86	79	1	since	since	SCONJ
ijassa-86	79	2	the	the	DET
ijassa-86	79	3	focus	focus	NOUN
ijassa-86	79	4	of	of	ADP
ijassa-86	79	5	this	this	DET
ijassa-86	79	6	paper	paper	NOUN
ijassa-86	79	7	is	be	AUX
ijassa-86	79	8	to	to	PART
ijassa-86	79	9	illustrate	illustrate	VERB
ijassa-86	79	10	the	the	DET
ijassa-86	79	11	application	application	NOUN
ijassa-86	79	12	of	of	ADP
ijassa-86	79	13	fuzzy	fuzzy	ADJ
ijassa-86	79	14	logic	logic	NOUN
ijassa-86	79	15	and	and	CCONJ
ijassa-86	79	16	neural	neural	ADJ
ijassa-86	79	17	network	network	NOUN
ijassa-86	79	18	,	,	PUNCT
ijassa-86	79	19	the	the	DET
ijassa-86	79	20	process	process	NOUN
ijassa-86	79	21	of	of	ADP
ijassa-86	79	22	analytic	analytic	ADJ
ijassa-86	79	23	hierarchy	hierarchy	NOUN
ijassa-86	79	24	wo	will	AUX
ijassa-86	79	25	n’t	not	PART
ijassa-86	79	26	be	be	AUX
ijassa-86	79	27	described	describe	VERB
ijassa-86	79	28	in	in	ADP
ijassa-86	79	29	detail	detail	NOUN
ijassa-86	79	30	.	.	PUNCT
ijassa-86	80	1	we	we	PRON
ijassa-86	80	2	simplely	simplely	ADV
ijassa-86	80	3	give	give	VERB
ijassa-86	80	4	the	the	DET
ijassa-86	80	5	result	result	NOUN
ijassa-86	80	6	in	in	ADP
ijassa-86	80	7	table	table	NOUN
ijassa-86	80	8	2	2	NUM
ijassa-86	80	9	.	.	PUNCT
ijassa-86	80	10	table	table	NOUN
ijassa-86	80	11	2	2	NUM
ijassa-86	80	12	normalized	normalize	VERB
ijassa-86	80	13	weights	weight	NOUN
ijassa-86	80	14	for	for	ADP
ijassa-86	80	15	the	the	DET
ijassa-86	80	16	non	non	ADJ
ijassa-86	80	17	-	-	ADJ
ijassa-86	80	18	financial	financial	ADJ
ijassa-86	80	19	conditions	condition	NOUN
ijassa-86	80	20	category	category	NOUN
ijassa-86	80	21	variables	variable	VERB
ijassa-86	80	22	nf11	nf11	PROPN
ijassa-86	80	23	nf12	nf12	PROPN
ijassa-86	80	24	nf13	nf13	PROPN
ijassa-86	80	25	nf21	nf21	PROPN
ijassa-86	80	26	nf2	nf2	VERB
ijassa-86	80	27	nf23	nf23	PROPN
ijassa-86	80	28	weights	weight	VERB
ijassa-86	80	29	0.23	0.23	NUM
ijassa-86	80	30	0.45	0.45	NUM
ijassa-86	80	31	0.32	0.32	NUM
ijassa-86	80	32	0.25	0.25	NUM
ijassa-86	80	33	0.35	0.35	NUM
ijassa-86	80	34	0.30	0.30	NUM
ijassa-86	80	35	variables	variable	NOUN
ijassa-86	80	36	nf31	nf31	PROPN
ijassa-86	80	37	nf32	nf32	PROPN
ijassa-86	80	38	nf33	nf33	PROPN
ijassa-86	80	39	nf41	nf41	PROPN
ijassa-86	80	40	nf42	nf42	PROPN
ijassa-86	80	41	nf43	nf43	PROPN
ijassa-86	80	42	weights	weight	VERB
ijassa-86	80	43	0.19	0.19	NUM
ijassa-86	80	44	0.23	0.23	NUM
ijassa-86	80	45	0.42	0.42	NUM
ijassa-86	80	46	0.31	0.31	NUM
ijassa-86	80	47	0.53	0.53	NUM
ijassa-86	80	48	0.16	0.16	NUM
ijassa-86	80	49	based	base	VERB
ijassa-86	80	50	on	on	ADP
ijassa-86	80	51	fuzzy	fuzzy	ADJ
ijassa-86	80	52	arithmetic	arithmetic	ADJ
ijassa-86	80	53	the	the	DET
ijassa-86	80	54	aggregation	aggregation	NOUN
ijassa-86	80	55	of	of	ADP
ijassa-86	80	56	n	n	CCONJ
ijassa-86	80	57	fuzzy	fuzzy	ADJ
ijassa-86	80	58	triangular	triangular	NOUN
ijassa-86	80	59	numbers	number	NOUN
ijassa-86	80	60	xi	xi	X
ijassa-86	80	61	=(	=(	PROPN
ijassa-86	80	62	xi	xi	PROPN
ijassa-86	80	63	l	l	PROPN
ijassa-86	80	64	,	,	PUNCT
ijassa-86	80	65	xi	xi	PROPN
ijassa-86	80	66	c	c	PROPN
ijassa-86	80	67	,	,	PUNCT
ijassa-86	80	68	xi	xi	PROPN
ijassa-86	80	69	r	r	NOUN
ijassa-86	80	70	)	)	PUNCT
ijassa-86	80	71	,	,	PUNCT
ijassa-86	80	72	,	,	PUNCT
ijassa-86	80	73	i=1	i=1	PROPN
ijassa-86	80	74	,	,	PUNCT
ijassa-86	80	75	2	2	NUM
ijassa-86	80	76	,	,	PUNCT
ijassa-86	80	77	3	3	NUM
ijassa-86	80	78	,	,	PUNCT
ijassa-86	80	79	.n	.n	PROPN
ijassa-86	80	80	,	,	PUNCT
ijassa-86	80	81	with	with	ADP
ijassa-86	80	82	normalized	normalize	VERB
ijassa-86	80	83	weights	weight	NOUN
ijassa-86	80	84	w	w	NOUN
ijassa-86	80	85	=	=	SYM
ijassa-86	80	86	(	(	PUNCT
ijassa-86	80	87	w1,w2	w1,w2	PROPN
ijassa-86	80	88	,	,	PUNCT
ijassa-86	80	89	.	.	PUNCT
ijassa-86	80	90	.	.	PUNCT
ijassa-86	80	91	.	.	PUNCT
ijassa-86	81	1	,	,	PUNCT
ijassa-86	81	2	wn	wn	PROPN
ijassa-86	81	3	)	)	PUNCT
ijassa-86	81	4	can	can	AUX
ijassa-86	81	5	be	be	AUX
ijassa-86	81	6	carried	carry	VERB
ijassa-86	81	7	out	out	ADP
ijassa-86	81	8	using	use	VERB
ijassa-86	81	9	the	the	DET
ijassa-86	81	10	following	follow	VERB
ijassa-86	81	11	equations	equation	NOUN
ijassa-86	81	12	:	:	PUNCT
ijassa-86	81	13	ac	ac	PROPN
ijassa-86	82	1	=	=	PUNCT
ijassa-86	82	2	n∑	n∑	PROPN
ijassa-86	82	3	i=1	i=1	PROPN
ijassa-86	82	4	wixi	wixi	PROPN
ijassa-86	82	5	c	c	PROPN
ijassa-86	82	6	al	al	PROPN
ijassa-86	82	7	=	=	PROPN
ijassa-86	82	8	n∑	n∑	PROPN
ijassa-86	82	9	i=1	i=1	PROPN
ijassa-86	82	10	wixi	wixi	PROPN
ijassa-86	82	11	l	l	PROPN
ijassa-86	82	12	ar	ar	PROPN
ijassa-86	82	13	=	=	PROPN
ijassa-86	83	1	n∑	n∑	PROPN
ijassa-86	83	2	i=1	i=1	PROPN
ijassa-86	83	3	wixi	wixi	PROPN
ijassa-86	83	4	r	r	NOUN
ijassa-86	83	5	(	(	PUNCT
ijassa-86	83	6	1	1	NUM
ijassa-86	83	7	)	)	PUNCT
ijassa-86	83	8	the	the	DET
ijassa-86	83	9	final	final	ADJ
ijassa-86	83	10	aggregated	aggregate	VERB
ijassa-86	83	11	triangular	triangular	NOUN
ijassa-86	83	12	fuzzy	fuzzy	ADJ
ijassa-86	83	13	number	number	NOUN
ijassa-86	83	14	is	be	AUX
ijassa-86	83	15	assumed	assume	VERB
ijassa-86	83	16	as	as	ADP
ijassa-86	83	17	a	a	DET
ijassa-86	83	18	=	=	SYM
ijassa-86	83	19	(	(	PUNCT
ijassa-86	83	20	al	al	PROPN
ijassa-86	83	21	,	,	PUNCT
ijassa-86	83	22	ac	ac	PROPN
ijassa-86	83	23	,	,	PUNCT
ijassa-86	83	24	ar	ar	PROPN
ijassa-86	83	25	)	)	PUNCT
ijassa-86	83	26	.	.	PUNCT
ijassa-86	84	1	using	use	VERB
ijassa-86	84	2	the	the	DET
ijassa-86	84	3	normalized	normalize	VERB
ijassa-86	84	4	weights	weight	NOUN
ijassa-86	84	5	listed	list	VERB
ijassa-86	84	6	in	in	ADP
ijassa-86	84	7	table	table	NOUN
ijassa-86	84	8	2	2	NUM
ijassa-86	84	9	,	,	PUNCT
ijassa-86	84	10	the	the	DET
ijassa-86	84	11	triangular	triangular	ADJ
ijassa-86	84	12	fuzzy	fuzzy	ADJ
ijassa-86	84	13	numbers	number	NOUN
ijassa-86	84	14	for	for	ADP
ijassa-86	84	15	non	non	ADJ
ijassa-86	84	16	-	-	ADJ
ijassa-86	84	17	financial	financial	ADJ
ijassa-86	84	18	conditions	condition	NOUN
ijassa-86	84	19	and	and	CCONJ
ijassa-86	84	20	eq	eq	NOUN
ijassa-86	84	21	.	.	PUNCT
ijassa-86	85	1	(	(	PUNCT
ijassa-86	85	2	1	1	NUM
ijassa-86	85	3	)	)	PUNCT
ijassa-86	85	4	,	,	PUNCT
ijassa-86	85	5	the	the	DET
ijassa-86	85	6	aggregated	aggregate	VERB
ijassa-86	85	7	triangular	triangular	NOUN
ijassa-86	85	8	fuzzy	fuzzy	ADJ
ijassa-86	85	9	numbers	number	NOUN
ijassa-86	85	10	for	for	ADP
ijassa-86	85	11	the	the	DET
ijassa-86	85	12	four	four	NUM
ijassa-86	85	13	non	non	ADJ
ijassa-86	85	14	-	-	ADJ
ijassa-86	85	15	financial	financial	ADJ
ijassa-86	85	16	conditions	condition	NOUN
ijassa-86	85	17	categories	category	NOUN
ijassa-86	85	18	of	of	ADP
ijassa-86	85	19	each	each	DET
ijassa-86	85	20	sample	sample	NOUN
ijassa-86	85	21	can	can	AUX
ijassa-86	85	22	be	be	AUX
ijassa-86	85	23	obtained	obtain	VERB
ijassa-86	85	24	,	,	PUNCT
ijassa-86	85	25	respectively	respectively	ADV
ijassa-86	85	26	.	.	PUNCT
ijassa-86	86	1	in	in	ADP
ijassa-86	86	2	order	order	NOUN
ijassa-86	86	3	to	to	PART
ijassa-86	86	4	compare	compare	VERB
ijassa-86	86	5	or	or	CCONJ
ijassa-86	86	6	rank	rank	VERB
ijassa-86	86	7	the	the	DET
ijassa-86	86	8	credit	credit	NOUN
ijassa-86	86	9	ratings	rating	NOUN
ijassa-86	86	10	of	of	ADP
ijassa-86	86	11	the	the	DET
ijassa-86	86	12	fuzzy	fuzzy	ADJ
ijassa-86	86	13	numbers	number	NOUN
ijassa-86	86	14	obtained	obtain	VERB
ijassa-86	86	15	above	above	ADV
ijassa-86	86	16	,	,	PUNCT
ijassa-86	86	17	the	the	DET
ijassa-86	86	18	overall	overall	ADJ
ijassa-86	86	19	existence	existence	NOUN
ijassa-86	86	20	ranking	ranking	NOUN
ijassa-86	86	21	index	index	NOUN
ijassa-86	86	22	(	(	PUNCT
ijassa-86	86	23	oeri	oeri	ADJ
ijassa-86	86	24	)	)	PUNCT
ijassa-86	86	25	will	will	AUX
ijassa-86	86	26	be	be	AUX
ijassa-86	86	27	used	use	VERB
ijassa-86	86	28	.	.	PUNCT
ijassa-86	87	1	for	for	ADP
ijassa-86	87	2	triangular	triangular	ADJ
ijassa-86	87	3	fuzzy	fuzzy	ADJ
ijassa-86	87	4	numbers	number	NOUN
ijassa-86	87	5	,	,	PUNCT
ijassa-86	87	6	the	the	DET
ijassa-86	87	7	overall	overall	ADJ
ijassa-86	87	8	existence	existence	NOUN
ijassa-86	87	9	measure	measure	NOUN
ijassa-86	87	10	om	om	PROPN
ijassa-86	87	11	for	for	ADP
ijassa-86	87	12	fuzzy	fuzzy	ADJ
ijassa-86	87	13	set	set	NOUN
ijassa-86	87	14	a	a	PRON
ijassa-86	87	15	can	can	AUX
ijassa-86	87	16	be	be	AUX
ijassa-86	87	17	written	write	VERB
ijassa-86	87	18	advances	advance	NOUN
ijassa-86	87	19	in	in	ADP
ijassa-86	87	20	systems	system	NOUN
ijassa-86	87	21	science	science	NOUN
ijassa-86	87	22	and	and	CCONJ
ijassa-86	87	23	applications	application	NOUN
ijassa-86	87	24	(	(	PUNCT
ijassa-86	87	25	2012	2012	NUM
ijassa-86	87	26	)	)	PUNCT
ijassa-86	87	27	vol.12	vol.12	NOUN
ijassa-86	87	28	no.1	no.1	X
ijassa-86	87	29	23	23	NUM
ijassa-86	87	30	as	as	ADP
ijassa-86	87	31	:	:	PUNCT
ijassa-86	87	32	om	om	PROPN
ijassa-86	87	33	(	(	PUNCT
ijassa-86	87	34	a	a	NOUN
ijassa-86	87	35	)	)	PUNCT
ijassa-86	87	36	=	=	SYM
ijassa-86	87	37	4al	4al	NOUN
ijassa-86	87	38	−	−	PROPN
ijassa-86	88	1	ac	ac	PROPN
ijassa-86	89	1	+	+	CCONJ
ijassa-86	89	2	ar	ar	PROPN
ijassa-86	89	3	4	4	NUM
ijassa-86	89	4	(	(	PUNCT
ijassa-86	89	5	2	2	NUM
ijassa-86	89	6	)	)	PUNCT
ijassa-86	89	7	using	use	VERB
ijassa-86	89	8	eq.(2	eq.(2	NOUN
ijassa-86	89	9	)	)	PUNCT
ijassa-86	89	10	,	,	PUNCT
ijassa-86	89	11	we	we	PRON
ijassa-86	89	12	can	can	AUX
ijassa-86	89	13	obtain	obtain	VERB
ijassa-86	89	14	the	the	DET
ijassa-86	89	15	oeri	oeri	ADJ
ijassa-86	89	16	ratings	rating	NOUN
ijassa-86	89	17	of	of	ADP
ijassa-86	89	18	each	each	DET
ijassa-86	89	19	sample	sample	NOUN
ijassa-86	89	20	company	company	NOUN
ijassa-86	89	21	.	.	PUNCT
ijassa-86	90	1	we	we	PRON
ijassa-86	90	2	describe	describe	VERB
ijassa-86	90	3	the	the	DET
ijassa-86	90	4	process	process	NOUN
ijassa-86	90	5	of	of	ADP
ijassa-86	90	6	feature	feature	NOUN
ijassa-86	90	7	selection	selection	NOUN
ijassa-86	90	8	as	as	SCONJ
ijassa-86	90	9	follows	follow	VERB
ijassa-86	90	10	.	.	PUNCT
ijassa-86	91	1	step1	step1	PROPN
ijassa-86	91	2	.	.	PUNCT
ijassa-86	92	1	use	use	NOUN
ijassa-86	92	2	factor	factor	NOUN
ijassa-86	92	3	analytic	analytic	ADJ
ijassa-86	92	4	approach	approach	NOUN
ijassa-86	92	5	to	to	PART
ijassa-86	92	6	treat	treat	VERB
ijassa-86	92	7	the	the	DET
ijassa-86	92	8	financial	financial	ADJ
ijassa-86	92	9	conditions	condition	NOUN
ijassa-86	92	10	.	.	PUNCT
ijassa-86	93	1	as	as	ADP
ijassa-86	93	2	a	a	DET
ijassa-86	93	3	result	result	NOUN
ijassa-86	93	4	,	,	PUNCT
ijassa-86	93	5	we	we	PRON
ijassa-86	93	6	obtain	obtain	VERB
ijassa-86	93	7	four	four	NUM
ijassa-86	93	8	main	main	ADJ
ijassa-86	93	9	components	component	NOUN
ijassa-86	93	10	.	.	PUNCT
ijassa-86	94	1	step2	step2	PROPN
ijassa-86	94	2	.	.	PUNCT
ijassa-86	95	1	build	build	VERB
ijassa-86	95	2	up	up	ADP
ijassa-86	95	3	the	the	DET
ijassa-86	95	4	membership	membership	NOUN
ijassa-86	95	5	functions	function	NOUN
ijassa-86	95	6	of	of	ADP
ijassa-86	95	7	the	the	DET
ijassa-86	95	8	five	five	NUM
ijassa-86	95	9	rating	rating	NOUN
ijassa-86	95	10	levels	level	NOUN
ijassa-86	95	11	for	for	ADP
ijassa-86	95	12	each	each	DET
ijassa-86	95	13	non	non	ADJ
ijassa-86	95	14	-	-	ADJ
ijassa-86	95	15	financial	financial	ADJ
ijassa-86	95	16	criterion	criterion	NOUN
ijassa-86	95	17	and	and	CCONJ
ijassa-86	95	18	the	the	DET
ijassa-86	95	19	result	result	NOUN
ijassa-86	95	20	criterion	criterion	NOUN
ijassa-86	95	21	.	.	PUNCT
ijassa-86	96	1	step3	step3	PROPN
ijassa-86	96	2	.	.	PUNCT
ijassa-86	97	1	decide	decide	VERB
ijassa-86	97	2	the	the	DET
ijassa-86	97	3	weights	weight	NOUN
ijassa-86	97	4	of	of	ADP
ijassa-86	97	5	each	each	DET
ijassa-86	97	6	criterion	criterion	NOUN
ijassa-86	97	7	using	use	VERB
ijassa-86	97	8	analytic	analytic	ADJ
ijassa-86	97	9	hierarchy	hierarchy	NOUN
ijassa-86	97	10	process	process	NOUN
ijassa-86	97	11	.	.	PUNCT
ijassa-86	98	1	step4	step4	PROPN
ijassa-86	98	2	.	.	PUNCT
ijassa-86	99	1	calculate	calculate	VERB
ijassa-86	99	2	the	the	DET
ijassa-86	99	3	objective	objective	ADJ
ijassa-86	99	4	evidence	evidence	NOUN
ijassa-86	99	5	of	of	ADP
ijassa-86	99	6	the	the	DET
ijassa-86	99	7	four	four	NUM
ijassa-86	99	8	non	non	ADJ
ijassa-86	99	9	-	-	ADJ
ijassa-86	99	10	financial	financial	ADJ
ijassa-86	99	11	conditions	condition	NOUN
ijassa-86	99	12	categories	category	NOUN
ijassa-86	99	13	by	by	ADP
ijassa-86	99	14	aggregating	aggregate	VERB
ijassa-86	99	15	the	the	DET
ijassa-86	99	16	triangular	triangular	NOUN
ijassa-86	99	17	fuzzy	fuzzy	ADJ
ijassa-86	99	18	numbers	number	NOUN
ijassa-86	99	19	and	and	CCONJ
ijassa-86	99	20	rank	rank	VERB
ijassa-86	99	21	the	the	DET
ijassa-86	99	22	fuzzy	fuzzy	ADJ
ijassa-86	99	23	numbers	number	NOUN
ijassa-86	99	24	using	use	VERB
ijassa-86	99	25	the	the	DET
ijassa-86	99	26	overall	overall	ADJ
ijassa-86	99	27	existence	existence	NOUN
ijassa-86	99	28	ranking	rank	VERB
ijassa-86	99	29	index	index	NOUN
ijassa-86	99	30	approach	approach	NOUN
ijassa-86	99	31	.	.	PUNCT
ijassa-86	100	1	finally	finally	ADV
ijassa-86	100	2	,	,	PUNCT
ijassa-86	100	3	a	a	DET
ijassa-86	100	4	ranking	ranking	ADJ
ijassa-86	100	5	numerical	numerical	ADJ
ijassa-86	100	6	value	value	NOUN
ijassa-86	100	7	for	for	ADP
ijassa-86	100	8	each	each	DET
ijassa-86	100	9	sample	sample	NOUN
ijassa-86	100	10	can	can	AUX
ijassa-86	100	11	be	be	AUX
ijassa-86	100	12	obtained	obtain	VERB
ijassa-86	100	13	.	.	PUNCT
ijassa-86	101	1	using	use	VERB
ijassa-86	101	2	factor	factor	NOUN
ijassa-86	101	3	analysis	analysis	NOUN
ijassa-86	101	4	technique	technique	NOUN
ijassa-86	101	5	,	,	PUNCT
ijassa-86	101	6	we	we	PRON
ijassa-86	101	7	can	can	AUX
ijassa-86	101	8	combine	combine	VERB
ijassa-86	101	9	10	10	NUM
ijassa-86	101	10	variables	variable	NOUN
ijassa-86	101	11	into	into	ADP
ijassa-86	101	12	several	several	ADJ
ijassa-86	101	13	main	main	ADJ
ijassa-86	101	14	components	component	NOUN
ijassa-86	101	15	.	.	PUNCT
ijassa-86	102	1	by	by	ADP
ijassa-86	102	2	analyzing	analyze	VERB
ijassa-86	102	3	the	the	DET
ijassa-86	102	4	data	datum	NOUN
ijassa-86	102	5	described	describe	VERB
ijassa-86	102	6	above	above	ADV
ijassa-86	102	7	,	,	PUNCT
ijassa-86	102	8	we	we	PRON
ijassa-86	102	9	get	get	VERB
ijassa-86	102	10	four	four	NUM
ijassa-86	102	11	main	main	ADJ
ijassa-86	102	12	components	component	NOUN
ijassa-86	102	13	representing	represent	VERB
ijassa-86	102	14	the	the	DET
ijassa-86	102	15	four	four	NUM
ijassa-86	102	16	categories	category	NOUN
ijassa-86	102	17	respectively	respectively	ADV
ijassa-86	102	18	.	.	PUNCT
ijassa-86	103	1	together	together	ADV
ijassa-86	103	2	with	with	ADP
ijassa-86	103	3	the	the	DET
ijassa-86	103	4	aggregative	aggregative	ADJ
ijassa-86	103	5	score	score	NOUN
ijassa-86	103	6	representing	represent	VERB
ijassa-86	103	7	the	the	DET
ijassa-86	103	8	non	non	ADJ
ijassa-86	103	9	-	-	ADJ
ijassa-86	103	10	financial	financial	ADJ
ijassa-86	103	11	conditions	condition	NOUN
ijassa-86	103	12	,	,	PUNCT
ijassa-86	103	13	we	we	PRON
ijassa-86	103	14	get	get	VERB
ijassa-86	103	15	five	five	NUM
ijassa-86	103	16	factors	factor	NOUN
ijassa-86	103	17	which	which	PRON
ijassa-86	103	18	represent	represent	VERB
ijassa-86	103	19	the	the	DET
ijassa-86	103	20	characters	character	NOUN
ijassa-86	103	21	of	of	ADP
ijassa-86	103	22	a	a	DET
ijassa-86	103	23	company	company	NOUN
ijassa-86	103	24	and	and	CCONJ
ijassa-86	103	25	construct	construct	VERB
ijassa-86	103	26	input	input	NOUN
ijassa-86	103	27	vectors	vector	NOUN
ijassa-86	103	28	with	with	ADP
ijassa-86	103	29	five	five	NUM
ijassa-86	103	30	dimensions	dimension	NOUN
ijassa-86	103	31	.	.	PUNCT
ijassa-86	104	1	5	5	NUM
ijassa-86	104	2	classification	classification	NOUN
ijassa-86	104	3	procedure	procedure	NOUN
ijassa-86	104	4	and	and	CCONJ
ijassa-86	104	5	results	result	NOUN
ijassa-86	104	6	based	base	VERB
ijassa-86	104	7	on	on	ADP
ijassa-86	104	8	the	the	DET
ijassa-86	104	9	above	above	ADJ
ijassa-86	104	10	discussions	discussion	NOUN
ijassa-86	104	11	,	,	PUNCT
ijassa-86	104	12	every	every	DET
ijassa-86	104	13	sample	sample	NOUN
ijassa-86	104	14	company	company	NOUN
ijassa-86	104	15	is	be	AUX
ijassa-86	104	16	represented	represent	VERB
ijassa-86	104	17	by	by	ADP
ijassa-86	104	18	a	a	DET
ijassa-86	104	19	five	five	NUM
ijassa-86	104	20	feature	feature	NOUN
ijassa-86	104	21	vector	vector	NOUN
ijassa-86	104	22	.	.	PUNCT
ijassa-86	105	1	the	the	DET
ijassa-86	105	2	classifier	classifier	NOUN
ijassa-86	105	3	will	will	AUX
ijassa-86	105	4	be	be	AUX
ijassa-86	105	5	constructed	construct	VERB
ijassa-86	105	6	by	by	ADP
ijassa-86	105	7	fuzzy	fuzzy	ADJ
ijassa-86	105	8	adaptive	adaptive	ADJ
ijassa-86	105	9	neural	neural	ADJ
ijassa-86	105	10	network	network	NOUN
ijassa-86	105	11	.	.	PUNCT
ijassa-86	106	1	in	in	ADP
ijassa-86	106	2	order	order	NOUN
ijassa-86	106	3	to	to	PART
ijassa-86	106	4	check	check	VERB
ijassa-86	106	5	the	the	DET
ijassa-86	106	6	performance	performance	NOUN
ijassa-86	106	7	of	of	ADP
ijassa-86	106	8	the	the	DET
ijassa-86	106	9	classifier	classifier	NOUN
ijassa-86	106	10	,	,	PUNCT
ijassa-86	106	11	a	a	DET
ijassa-86	106	12	generalized	generalize	VERB
ijassa-86	106	13	dynamic	dynamic	ADJ
ijassa-86	106	14	fuzzy	fuzzy	ADJ
ijassa-86	106	15	neural	neural	ADJ
ijassa-86	106	16	network	network	NOUN
ijassa-86	106	17	(	(	PUNCT
ijassa-86	106	18	hereinafter	hereinafter	NOUN
ijassa-86	106	19	referred	refer	VERB
ijassa-86	106	20	to	to	ADP
ijassa-86	106	21	as	as	ADP
ijassa-86	106	22	“	"	PUNCT
ijassa-86	106	23	gdfnn	gdfnn	NOUN
ijassa-86	106	24	”	"	PUNCT
ijassa-86	106	25	)	)	PUNCT
ijassa-86	106	26	introduce	introduce	NOUN
ijassa-86	106	27	by	by	ADP
ijassa-86	106	28	wu	wu	PROPN
ijassa-86	106	29	et	et	NOUN
ijassa-86	106	30	al.(2007	al.(2007	PROPN
ijassa-86	106	31	)	)	PUNCT
ijassa-86	106	32	,	,	PUNCT
ijassa-86	106	33	a	a	DET
ijassa-86	106	34	common	common	ADJ
ijassa-86	106	35	bp	bp	PROPN
ijassa-86	106	36	neural	neural	ADJ
ijassa-86	106	37	network	network	NOUN
ijassa-86	106	38	and	and	CCONJ
ijassa-86	106	39	logistical	logistical	ADJ
ijassa-86	106	40	regression	regression	NOUN
ijassa-86	106	41	classifiers	classifier	NOUN
ijassa-86	106	42	are	be	AUX
ijassa-86	106	43	used	use	VERB
ijassa-86	106	44	to	to	PART
ijassa-86	106	45	process	process	VERB
ijassa-86	106	46	the	the	DET
ijassa-86	106	47	data	datum	NOUN
ijassa-86	106	48	respectively	respectively	ADV
ijassa-86	106	49	.	.	PUNCT
ijassa-86	107	1	a	a	DET
ijassa-86	107	2	method	method	NOUN
ijassa-86	107	3	name	name	NOUN
ijassa-86	107	4	round	round	NOUN
ijassa-86	107	5	-	-	PUNCT
ijassa-86	107	6	robin	robin	PROPN
ijassa-86	107	7	will	will	AUX
ijassa-86	107	8	be	be	AUX
ijassa-86	107	9	used	use	VERB
ijassa-86	107	10	to	to	PART
ijassa-86	107	11	extract	extract	VERB
ijassa-86	107	12	training	training	NOUN
ijassa-86	107	13	samples	sample	NOUN
ijassa-86	107	14	and	and	CCONJ
ijassa-86	107	15	checking	check	VERB
ijassa-86	107	16	samples	sample	NOUN
ijassa-86	107	17	.	.	PUNCT
ijassa-86	108	1	during	during	ADP
ijassa-86	108	2	every	every	DET
ijassa-86	108	3	round	round	NOUN
ijassa-86	108	4	,	,	PUNCT
ijassa-86	108	5	n-1	n-1	NOUN
ijassa-86	108	6	samples	sample	NOUN
ijassa-86	108	7	are	be	AUX
ijassa-86	108	8	used	use	VERB
ijassa-86	108	9	as	as	ADP
ijassa-86	108	10	training	training	NOUN
ijassa-86	108	11	samples	sample	NOUN
ijassa-86	108	12	and	and	CCONJ
ijassa-86	108	13	the	the	DET
ijassa-86	108	14	remaining	remain	VERB
ijassa-86	108	15	one	one	NOUN
ijassa-86	108	16	is	be	AUX
ijassa-86	108	17	used	use	VERB
ijassa-86	108	18	as	as	ADP
ijassa-86	108	19	checking	check	VERB
ijassa-86	108	20	sample	sample	NOUN
ijassa-86	108	21	.	.	PUNCT
ijassa-86	109	1	the	the	DET
ijassa-86	109	2	process	process	NOUN
ijassa-86	109	3	will	will	AUX
ijassa-86	109	4	be	be	AUX
ijassa-86	109	5	repeated	repeat	VERB
ijassa-86	109	6	until	until	SCONJ
ijassa-86	109	7	all	all	DET
ijassa-86	109	8	samples	sample	NOUN
ijassa-86	109	9	are	be	AUX
ijassa-86	109	10	checked	check	VERB
ijassa-86	109	11	once	once	ADV
ijassa-86	109	12	.	.	PUNCT
ijassa-86	110	1	the	the	DET
ijassa-86	110	2	performance	performance	NOUN
ijassa-86	110	3	of	of	ADP
ijassa-86	110	4	classification	classification	NOUN
ijassa-86	110	5	will	will	AUX
ijassa-86	110	6	be	be	AUX
ijassa-86	110	7	evaluated	evaluate	VERB
ijassa-86	110	8	by	by	ADP
ijassa-86	110	9	roc	roc	PROPN
ijassa-86	110	10	methodology	methodology	NOUN
ijassa-86	110	11	.	.	PUNCT
ijassa-86	111	1	the	the	DET
ijassa-86	111	2	experiments	experiment	NOUN
ijassa-86	111	3	were	be	AUX
ijassa-86	111	4	run	run	VERB
ijassa-86	111	5	on	on	ADP
ijassa-86	111	6	matlab7.0	matlab7.0	NUM
ijassa-86	111	7	.	.	PUNCT
ijassa-86	112	1	the	the	DET
ijassa-86	112	2	results	result	NOUN
ijassa-86	112	3	are	be	AUX
ijassa-86	112	4	shown	show	VERB
ijassa-86	112	5	as	as	ADP
ijassa-86	112	6	fig.2,fig.3	fig.2,fig.3	NOUN
ijassa-86	112	7	and	and	CCONJ
ijassa-86	112	8	table	table	NOUN
ijassa-86	112	9	3	3	NUM
ijassa-86	112	10	.	.	PUNCT
ijassa-86	112	11	by	by	ADP
ijassa-86	112	12	using	use	VERB
ijassa-86	112	13	fan	fan	NOUN
ijassa-86	112	14	classifier	classifier	NOUN
ijassa-86	112	15	,	,	PUNCT
ijassa-86	112	16	the	the	DET
ijassa-86	112	17	roc	roc	PROPN
ijassa-86	112	18	curve	curve	NOUN
ijassa-86	112	19	line	line	NOUN
ijassa-86	112	20	area(az	area(az	PROPN
ijassa-86	112	21	)	)	PUNCT
ijassa-86	112	22	reached	reach	VERB
ijassa-86	112	23	0.959	0.959	NUM
ijassa-86	112	24	,	,	PUNCT
ijassa-86	112	25	and	and	CCONJ
ijassa-86	112	26	corresponding	correspond	VERB
ijassa-86	112	27	true	true	ADJ
ijassa-86	112	28	default	default	NOUN
ijassa-86	112	29	rate	rate	NOUN
ijassa-86	112	30	and	and	CCONJ
ijassa-86	112	31	false	false	ADJ
ijassa-86	112	32	default	default	NOUN
ijassa-86	112	33	rate	rate	NOUN
ijassa-86	112	34	were	be	AUX
ijassa-86	112	35	89.6	89.6	NUM
ijassa-86	112	36	%	%	NOUN
ijassa-86	112	37	and	and	CCONJ
ijassa-86	112	38	11.2%,respectively	11.2%,respectively	ADV
ijassa-86	112	39	,	,	PUNCT
ijassa-86	112	40	and	and	CCONJ
ijassa-86	112	41	the	the	DET
ijassa-86	112	42	overall	overall	ADJ
ijassa-86	112	43	rate	rate	NOUN
ijassa-86	112	44	of	of	ADP
ijassa-86	112	45	accuracy	accuracy	NOUN
ijassa-86	112	46	was	be	AUX
ijassa-86	112	47	89.2	89.2	NUM
ijassa-86	112	48	%	%	NOUN
ijassa-86	112	49	.	.	PUNCT
ijassa-86	113	1	another	another	DET
ijassa-86	113	2	classifier	classifier	NOUN
ijassa-86	113	3	is	be	AUX
ijassa-86	113	4	constructed	construct	VERB
ijassa-86	113	5	by	by	ADP
ijassa-86	113	6	gdfnn	gdfnn	NOUN
ijassa-86	113	7	,	,	PUNCT
ijassa-86	113	8	a	a	DET
ijassa-86	113	9	general	general	ADJ
ijassa-86	113	10	dynamic	dynamic	ADJ
ijassa-86	113	11	fuzzy	fuzzy	ADJ
ijassa-86	113	12	neural	neural	ADJ
ijassa-86	113	13	network	network	NOUN
ijassa-86	113	14	.	.	PUNCT
ijassa-86	114	1	the	the	DET
ijassa-86	114	2	network	network	NOUN
ijassa-86	114	3	is	be	AUX
ijassa-86	114	4	constructed	construct	VERB
ijassa-86	114	5	based	base	VERB
ijassa-86	114	6	on	on	ADP
ijassa-86	114	7	rbf	rbf	PROPN
ijassa-86	114	8	network	network	NOUN
ijassa-86	114	9	and	and	CCONJ
ijassa-86	114	10	had	have	VERB
ijassa-86	114	11	four	four	NUM
ijassa-86	114	12	layers	layer	NOUN
ijassa-86	114	13	.	.	PUNCT
ijassa-86	115	1	the	the	DET
ijassa-86	115	2	first	first	ADJ
ijassa-86	115	3	layer	layer	NOUN
ijassa-86	115	4	is	be	AUX
ijassa-86	115	5	input	input	ADJ
ijassa-86	115	6	layer	layer	NOUN
ijassa-86	115	7	.	.	PUNCT
ijassa-86	116	1	the	the	DET
ijassa-86	116	2	second	second	ADJ
ijassa-86	116	3	layer	layer	NOUN
ijassa-86	116	4	is	be	AUX
ijassa-86	116	5	membership	membership	NOUN
ijassa-86	116	6	function	function	NOUN
ijassa-86	116	7	layer	layer	NOUN
ijassa-86	116	8	.	.	PUNCT
ijassa-86	117	1	the	the	DET
ijassa-86	117	2	third	third	ADJ
ijassa-86	117	3	layer	layer	NOUN
ijassa-86	117	4	is	be	AUX
ijassa-86	117	5	if	if	SCONJ
ijassa-86	117	6	-	-	PUNCT
ijassa-86	117	7	then	then	ADV
ijassa-86	117	8	rule	rule	NOUN
ijassa-86	117	9	layer	layer	NOUN
ijassa-86	117	10	and	and	CCONJ
ijassa-86	117	11	the	the	DET
ijassa-86	117	12	last	last	ADJ
ijassa-86	117	13	layer	layer	NOUN
ijassa-86	117	14	is	be	AUX
ijassa-86	117	15	normalizing	normalize	VERB
ijassa-86	117	16	layer	layer	NOUN
ijassa-86	117	17	.	.	PUNCT
ijassa-86	118	1	the	the	DET
ijassa-86	118	2	gdfnn	gdfnn	NOUN
ijassa-86	118	3	is	be	AUX
ijassa-86	118	4	equivalent	equivalent	ADJ
ijassa-86	118	5	to	to	ADP
ijassa-86	118	6	tsk	tsk	PROPN
ijassa-86	118	7	fuzzy	fuzzy	ADJ
ijassa-86	118	8	logic	logic	NOUN
ijassa-86	118	9	system	system	NOUN
ijassa-86	118	10	.	.	PUNCT
ijassa-86	119	1	the	the	DET
ijassa-86	119	2	classifier	classifier	NOUN
ijassa-86	119	3	is	be	AUX
ijassa-86	119	4	trained	train	VERB
ijassa-86	119	5	24	24	NUM
ijassa-86	119	6	zhichun	zhichun	NOUN
ijassa-86	119	7	xu	xu	PROPN
ijassa-86	119	8	:	:	PUNCT
ijassa-86	119	9	empirical	empirical	ADJ
ijassa-86	119	10	analysis	analysis	NOUN
ijassa-86	119	11	of	of	ADP
ijassa-86	119	12	credit	credit	NOUN
ijassa-86	119	13	risk	risk	NOUN
ijassa-86	119	14	measure	measure	NOUN
ijassa-86	119	15	using	use	VERB
ijassa-86	119	16	fuzzy	fuzzy	ADJ
ijassa-86	119	17	adaptive	adaptive	ADJ
ijassa-86	119	18	neural	neural	ADJ
ijassa-86	119	19	-	-	PUNCT
ijassa-86	119	20	networks	network	NOUN
ijassa-86	119	21	.	.	PUNCT
ijassa-86	119	22	.	.	PUNCT
ijassa-86	120	1	.	.	PUNCT
ijassa-86	121	1	like	like	ADP
ijassa-86	121	2	the	the	DET
ijassa-86	121	3	above	above	PROPN
ijassa-86	121	4	fan	fan	NOUN
ijassa-86	121	5	classifier	classifier	PROPN
ijassa-86	121	6	.	.	PUNCT
ijassa-86	122	1	and	and	CCONJ
ijassa-86	122	2	the	the	DET
ijassa-86	122	3	result	result	NOUN
ijassa-86	122	4	is	be	AUX
ijassa-86	122	5	shown	show	VERB
ijassa-86	122	6	as	as	ADP
ijassa-86	122	7	fig.2	fig.2	NOUN
ijassa-86	122	8	either	either	ADV
ijassa-86	122	9	.	.	PUNCT
ijassa-86	123	1	the	the	DET
ijassa-86	123	2	roc	roc	PROPN
ijassa-86	123	3	curve	curve	NOUN
ijassa-86	123	4	line	line	NOUN
ijassa-86	123	5	area(az	area(az	PROPN
ijassa-86	123	6	)	)	PUNCT
ijassa-86	123	7	reach	reach	VERB
ijassa-86	123	8	0.893	0.893	NUM
ijassa-86	123	9	,	,	PUNCT
ijassa-86	123	10	and	and	CCONJ
ijassa-86	123	11	the	the	DET
ijassa-86	123	12	overall	overall	ADJ
ijassa-86	123	13	rate	rate	NOUN
ijassa-86	123	14	of	of	ADP
ijassa-86	123	15	accuracy	accuracy	NOUN
ijassa-86	123	16	is	be	AUX
ijassa-86	123	17	81.5	81.5	NUM
ijassa-86	123	18	%	%	NOUN
ijassa-86	123	19	.	.	PUNCT
ijassa-86	124	1	the	the	DET
ijassa-86	124	2	classifier	classifier	PROPN
ijassa-86	124	3	bp	bp	PROPN
ijassa-86	124	4	have	have	AUX
ijassa-86	124	5	n’t	not	PART
ijassa-86	124	6	carried	carry	VERB
ijassa-86	124	7	out	out	ADP
ijassa-86	124	8	fuzzy	fuzzy	ADJ
ijassa-86	124	9	computation	computation	NOUN
ijassa-86	124	10	,	,	PUNCT
ijassa-86	124	11	and	and	CCONJ
ijassa-86	124	12	az=0.714	az=0.714	NOUN
ijassa-86	124	13	,	,	PUNCT
ijassa-86	124	14	the	the	DET
ijassa-86	124	15	rate	rate	NOUN
ijassa-86	124	16	of	of	ADP
ijassa-86	124	17	accuracy	accuracy	NOUN
ijassa-86	124	18	is	be	AUX
ijassa-86	124	19	64.5	64.5	NUM
ijassa-86	124	20	%	%	NOUN
ijassa-86	124	21	.	.	PUNCT
ijassa-86	125	1	the	the	DET
ijassa-86	125	2	result	result	NOUN
ijassa-86	125	3	of	of	ADP
ijassa-86	125	4	logistic	logistic	ADJ
ijassa-86	125	5	regression	regression	NOUN
ijassa-86	125	6	classifier	classifier	NOUN
ijassa-86	125	7	is	be	AUX
ijassa-86	125	8	listed	list	VERB
ijassa-86	125	9	as	as	ADP
ijassa-86	125	10	fig.2	fig.2	PROPN
ijassa-86	125	11	roc	roc	PROPN
ijassa-86	125	12	curve	curve	NOUN
ijassa-86	125	13	created	create	VERB
ijassa-86	125	14	by	by	ADP
ijassa-86	125	15	fan	fan	PROPN
ijassa-86	125	16	,	,	PUNCT
ijassa-86	125	17	gdfnn	gdfnn	NOUN
ijassa-86	125	18	and	and	CCONJ
ijassa-86	125	19	bp	bp	PROPN
ijassa-86	125	20	classifier	classifier	PROPN
ijassa-86	125	21	fig.3	fig.3	PROPN
ijassa-86	125	22	roc	roc	PROPN
ijassa-86	125	23	curve	curve	NOUN
ijassa-86	125	24	created	create	VERB
ijassa-86	125	25	by	by	ADP
ijassa-86	125	26	fan	fan	NOUN
ijassa-86	125	27	table	table	NOUN
ijassa-86	125	28	3	3	PROPN
ijassa-86	125	29	.	.	X
ijassa-86	125	30	one	one	PRON
ijassa-86	125	31	can	can	AUX
ijassa-86	125	32	find	find	VERB
ijassa-86	125	33	that	that	SCONJ
ijassa-86	125	34	the	the	DET
ijassa-86	125	35	rate	rate	NOUN
ijassa-86	125	36	of	of	ADP
ijassa-86	125	37	accuracy	accuracy	NOUN
ijassa-86	125	38	was	be	AUX
ijassa-86	125	39	lower	low	ADJ
ijassa-86	125	40	than	than	ADP
ijassa-86	125	41	fan	fan	NOUN
ijassa-86	125	42	and	and	CCONJ
ijassa-86	125	43	gdfnn	gdfnn	NOUN
ijassa-86	125	44	,	,	PUNCT
ijassa-86	125	45	but	but	CCONJ
ijassa-86	125	46	higher	high	ADJ
ijassa-86	125	47	than	than	ADP
ijassa-86	125	48	bp	bp	PROPN
ijassa-86	125	49	.	.	PUNCT
ijassa-86	126	1	the	the	DET
ijassa-86	126	2	above	above	ADJ
ijassa-86	126	3	four	four	NUM
ijassa-86	126	4	classifiers	classifier	NOUN
ijassa-86	126	5	are	be	AUX
ijassa-86	126	6	tested	test	VERB
ijassa-86	126	7	by	by	ADP
ijassa-86	126	8	financial	financial	ADJ
ijassa-86	126	9	information	information	NOUN
ijassa-86	126	10	and	and	CCONJ
ijassa-86	126	11	non	non	ADJ
ijassa-86	126	12	-	-	ADJ
ijassa-86	126	13	financial	financial	ADJ
ijassa-86	126	14	information	information	NOUN
ijassa-86	126	15	.	.	PUNCT
ijassa-86	127	1	in	in	ADP
ijassa-86	127	2	order	order	NOUN
ijassa-86	127	3	to	to	PART
ijassa-86	127	4	test	test	VERB
ijassa-86	127	5	the	the	DET
ijassa-86	127	6	effect	effect	NOUN
ijassa-86	127	7	of	of	ADP
ijassa-86	127	8	non	non	ADJ
ijassa-86	127	9	-	-	ADJ
ijassa-86	127	10	financial	financial	ADJ
ijassa-86	127	11	information	information	NOUN
ijassa-86	127	12	,	,	PUNCT
ijassa-86	127	13	we	we	PRON
ijassa-86	127	14	build	build	VERB
ijassa-86	127	15	up	up	ADP
ijassa-86	127	16	a	a	DET
ijassa-86	127	17	contrast	contrast	NOUN
ijassa-86	127	18	experiment	experiment	NOUN
ijassa-86	127	19	.	.	PUNCT
ijassa-86	128	1	the	the	DET
ijassa-86	128	2	classifier	classifier	NOUN
ijassa-86	128	3	is	be	AUX
ijassa-86	128	4	fan	fan	NOUN
ijassa-86	128	5	,	,	PUNCT
ijassa-86	128	6	and	and	CCONJ
ijassa-86	128	7	the	the	DET
ijassa-86	128	8	input	input	NOUN
ijassa-86	128	9	vectors	vector	NOUN
ijassa-86	128	10	are	be	AUX
ijassa-86	128	11	conditions	condition	NOUN
ijassa-86	128	12	advances	advance	NOUN
ijassa-86	128	13	in	in	ADP
ijassa-86	128	14	systems	system	NOUN
ijassa-86	128	15	science	science	NOUN
ijassa-86	128	16	and	and	CCONJ
ijassa-86	128	17	applications	application	NOUN
ijassa-86	128	18	(	(	PUNCT
ijassa-86	128	19	2012	2012	NUM
ijassa-86	128	20	)	)	PUNCT
ijassa-86	128	21	vol.12	vol.12	NOUN
ijassa-86	128	22	no.1	no.1	X
ijassa-86	128	23	25	25	NUM
ijassa-86	128	24	including	include	VERB
ijassa-86	128	25	non	non	ADJ
ijassa-86	128	26	-	-	ADJ
ijassa-86	128	27	financial	financial	ADJ
ijassa-86	128	28	and	and	CCONJ
ijassa-86	128	29	not	not	PART
ijassa-86	128	30	including	include	VERB
ijassa-86	128	31	non	non	ADJ
ijassa-86	128	32	-	-	ADJ
ijassa-86	128	33	financial	financial	ADJ
ijassa-86	128	34	condition	condition	NOUN
ijassa-86	128	35	.	.	PUNCT
ijassa-86	129	1	the	the	DET
ijassa-86	129	2	result	result	NOUN
ijassa-86	129	3	is	be	AUX
ijassa-86	129	4	shown	show	VERB
ijassa-86	129	5	as	as	ADP
ijassa-86	129	6	roc	roc	PROPN
ijassa-86	129	7	curves	curve	NOUN
ijassa-86	129	8	.	.	PUNCT
ijassa-86	130	1	the	the	DET
ijassa-86	130	2	higher	high	ADJ
ijassa-86	130	3	curve	curve	NOUN
ijassa-86	130	4	is	be	AUX
ijassa-86	130	5	for	for	ADP
ijassa-86	130	6	the	the	DET
ijassa-86	130	7	input	input	NOUN
ijassa-86	130	8	with	with	ADP
ijassa-86	130	9	non	non	ADJ
ijassa-86	130	10	-	-	ADJ
ijassa-86	130	11	financial	financial	ADJ
ijassa-86	130	12	conditions	condition	NOUN
ijassa-86	130	13	just	just	ADV
ijassa-86	130	14	as	as	ADP
ijassa-86	130	15	fig.1	fig.1	PROPN
ijassa-86	130	16	,	,	PUNCT
ijassa-86	130	17	and	and	CCONJ
ijassa-86	130	18	the	the	DET
ijassa-86	130	19	lower	low	ADJ
ijassa-86	130	20	curve	curve	NOUN
ijassa-86	130	21	line	line	NOUN
ijassa-86	130	22	is	be	AUX
ijassa-86	130	23	for	for	ADP
ijassa-86	130	24	the	the	DET
ijassa-86	130	25	input	input	NOUN
ijassa-86	130	26	without	without	ADP
ijassa-86	130	27	non	non	ADJ
ijassa-86	130	28	-	-	ADJ
ijassa-86	130	29	financial	financial	ADJ
ijassa-86	130	30	conditions	condition	NOUN
ijassa-86	130	31	.	.	PUNCT
ijassa-86	131	1	the	the	DET
ijassa-86	131	2	az	az	PROPN
ijassa-86	131	3	is	be	AUX
ijassa-86	131	4	equal	equal	ADJ
ijassa-86	131	5	to	to	ADP
ijassa-86	131	6	0.959	0.959	NUM
ijassa-86	131	7	and	and	CCONJ
ijassa-86	131	8	0.757	0.757	NUM
ijassa-86	131	9	respectively	respectively	ADV
ijassa-86	131	10	.	.	PUNCT
ijassa-86	132	1	the	the	DET
ijassa-86	132	2	results	result	NOUN
ijassa-86	132	3	show	show	VERB
ijassa-86	132	4	that	that	SCONJ
ijassa-86	132	5	non	non	ADJ
ijassa-86	132	6	-	-	ADJ
ijassa-86	132	7	financial	financial	ADJ
ijassa-86	132	8	conditions	condition	NOUN
ijassa-86	132	9	can	can	AUX
ijassa-86	132	10	raise	raise	VERB
ijassa-86	132	11	the	the	DET
ijassa-86	132	12	rate	rate	NOUN
ijassa-86	132	13	of	of	ADP
ijassa-86	132	14	accuracy	accuracy	NOUN
ijassa-86	132	15	of	of	ADP
ijassa-86	132	16	default	default	NOUN
ijassa-86	132	17	.	.	PUNCT
ijassa-86	133	1	table	table	NOUN
ijassa-86	133	2	3	3	NUM
ijassa-86	133	3	classification	classification	NOUN
ijassa-86	133	4	table	table	NOUN
ijassa-86	133	5	predicted	predict	VERB
ijassa-86	133	6	classifier	classifier	NOUN
ijassa-86	133	7	observed	observe	VERB
ijassa-86	133	8	group	group	NOUN
ijassa-86	133	9	percentage	percentage	NOUN
ijassa-86	133	10	correct	correct	ADJ
ijassa-86	133	11	.00	.00	NUM
ijassa-86	133	12	1.00	1.00	NUM
ijassa-86	133	13	group	group	NOUN
ijassa-86	133	14	0	0	NUM
ijassa-86	133	15	28	28	NUM
ijassa-86	133	16	8	8	NUM
ijassa-86	133	17	77.7	77.7	NUM
ijassa-86	133	18	logistic	logistic	ADJ
ijassa-86	133	19	regression	regression	NOUN
ijassa-86	133	20	group	group	NOUN
ijassa-86	133	21	1	1	NUM
ijassa-86	133	22	4	4	NUM
ijassa-86	133	23	25	25	NUM
ijassa-86	133	24	86.2	86.2	NUM
ijassa-86	133	25	overall	overall	ADJ
ijassa-86	133	26	percentage	percentage	NOUN
ijassa-86	133	27	81.5	81.5	NUM
ijassa-86	133	28	group	group	NOUN
ijassa-86	133	29	0	0	NUM
ijassa-86	133	30	32	32	NUM
ijassa-86	133	31	4	4	NUM
ijassa-86	133	32	88.8	88.8	NUM
ijassa-86	133	33	fan	fan	NOUN
ijassa-86	133	34	group	group	NOUN
ijassa-86	133	35	1	1	NUM
ijassa-86	133	36	3	3	NUM
ijassa-86	133	37	26	26	NUM
ijassa-86	133	38	89.2	89.2	NUM
ijassa-86	133	39	overall	overall	ADJ
ijassa-86	133	40	percentage	percentage	NOUN
ijassa-86	133	41	89.2	89.2	NUM
ijassa-86	133	42	group	group	NOUN
ijassa-86	133	43	0	0	NUM
ijassa-86	133	44	30	30	NUM
ijassa-86	133	45	6	6	NUM
ijassa-86	133	46	83.3	83.3	NUM
ijassa-86	133	47	gdff	gdff	NOUN
ijassa-86	133	48	group	group	NOUN
ijassa-86	133	49	1	1	NUM
ijassa-86	133	50	6	6	NUM
ijassa-86	133	51	23	23	NUM
ijassa-86	133	52	79.3	79.3	NUM
ijassa-86	133	53	overall	overall	ADJ
ijassa-86	133	54	percentage	percentage	NOUN
ijassa-86	133	55	81.5	81.5	NUM
ijassa-86	133	56	group	group	NOUN
ijassa-86	133	57	0	0	NUM
ijassa-86	133	58	25	25	NUM
ijassa-86	133	59	11	11	NUM
ijassa-86	133	60	69.4	69.4	NUM
ijassa-86	133	61	bp	bp	PROPN
ijassa-86	133	62	group	group	NOUN
ijassa-86	133	63	1	1	NUM
ijassa-86	133	64	12	12	NUM
ijassa-86	133	65	17	17	NUM
ijassa-86	133	66	58.6	58.6	NUM
ijassa-86	133	67	overall	overall	ADJ
ijassa-86	133	68	percentage	percentage	NOUN
ijassa-86	133	69	64.5	64.5	NUM
ijassa-86	133	70	6	6	NUM
ijassa-86	133	71	conclusion	conclusion	NOUN
ijassa-86	133	72	small	small	ADJ
ijassa-86	133	73	and	and	CCONJ
ijassa-86	133	74	medium	medium	ADJ
ijassa-86	133	75	-	-	PUNCT
ijassa-86	133	76	sized	sized	ADJ
ijassa-86	133	77	enterprises	enterprise	NOUN
ijassa-86	133	78	have	have	VERB
ijassa-86	133	79	uniquely	uniquely	ADV
ijassa-86	133	80	financial	financial	ADJ
ijassa-86	133	81	features	feature	NOUN
ijassa-86	133	82	,	,	PUNCT
ijassa-86	133	83	models	model	NOUN
ijassa-86	133	84	and	and	CCONJ
ijassa-86	133	85	methods	method	NOUN
ijassa-86	133	86	to	to	PART
ijassa-86	133	87	measure	measure	VERB
ijassa-86	133	88	their	their	PRON
ijassa-86	133	89	credit	credit	NOUN
ijassa-86	133	90	risk	risk	NOUN
ijassa-86	133	91	need	need	VERB
ijassa-86	133	92	special	special	ADJ
ijassa-86	133	93	treatments	treatment	NOUN
ijassa-86	133	94	.	.	PUNCT
ijassa-86	134	1	in	in	ADP
ijassa-86	134	2	this	this	DET
ijassa-86	134	3	paper	paper	NOUN
ijassa-86	134	4	,	,	PUNCT
ijassa-86	134	5	we	we	PRON
ijassa-86	134	6	have	have	AUX
ijassa-86	134	7	presented	present	VERB
ijassa-86	134	8	that	that	SCONJ
ijassa-86	134	9	non	non	ADJ
ijassa-86	134	10	-	-	ADJ
ijassa-86	134	11	financial	financial	ADJ
ijassa-86	134	12	conditions	condition	NOUN
ijassa-86	134	13	are	be	AUX
ijassa-86	134	14	helpful	helpful	ADJ
ijassa-86	134	15	to	to	PART
ijassa-86	134	16	produce	produce	VERB
ijassa-86	134	17	more	more	ADV
ijassa-86	134	18	accurate	accurate	ADJ
ijassa-86	134	19	evaluation	evaluation	NOUN
ijassa-86	134	20	results	result	NOUN
ijassa-86	134	21	.	.	PUNCT
ijassa-86	135	1	in	in	SCONJ
ijassa-86	135	2	order	order	NOUN
ijassa-86	135	3	to	to	PART
ijassa-86	135	4	overcome	overcome	VERB
ijassa-86	135	5	the	the	DET
ijassa-86	135	6	vague	vague	NOUN
ijassa-86	135	7	of	of	ADP
ijassa-86	135	8	non	non	ADJ
ijassa-86	135	9	-	-	ADJ
ijassa-86	135	10	financial	financial	ADJ
ijassa-86	135	11	and	and	CCONJ
ijassa-86	135	12	sharp	sharp	ADJ
ijassa-86	135	13	boundaries	boundary	NOUN
ijassa-86	135	14	of	of	ADP
ijassa-86	135	15	financial	financial	ADJ
ijassa-86	135	16	conditions	condition	NOUN
ijassa-86	135	17	,	,	PUNCT
ijassa-86	135	18	fuzzy	fuzzy	ADJ
ijassa-86	135	19	approaches	approach	NOUN
ijassa-86	135	20	and	and	CCONJ
ijassa-86	135	21	a	a	DET
ijassa-86	135	22	nonlinear	nonlinear	ADJ
ijassa-86	135	23	classifier	classifier	NOUN
ijassa-86	135	24	fuzzy	fuzzy	ADJ
ijassa-86	135	25	adaptive	adaptive	ADJ
ijassa-86	135	26	neural	neural	ADJ
ijassa-86	135	27	network	network	NOUN
ijassa-86	135	28	are	be	AUX
ijassa-86	135	29	conducted	conduct	VERB
ijassa-86	135	30	.	.	PUNCT
ijassa-86	136	1	our	our	PRON
ijassa-86	136	2	numerical	numerical	ADJ
ijassa-86	136	3	results	result	NOUN
ijassa-86	136	4	demonstrated	demonstrate	VERB
ijassa-86	136	5	that	that	SCONJ
ijassa-86	136	6	fuzzy	fuzzy	ADJ
ijassa-86	136	7	adaptive	adaptive	ADJ
ijassa-86	136	8	neural	neural	ADJ
ijassa-86	136	9	network	network	NOUN
ijassa-86	136	10	is	be	AUX
ijassa-86	136	11	ideally	ideally	ADV
ijassa-86	136	12	suited	suit	VERB
ijassa-86	136	13	for	for	ADP
ijassa-86	136	14	the	the	DET
ijassa-86	136	15	modeling	modeling	NOUN
ijassa-86	136	16	of	of	ADP
ijassa-86	136	17	problems	problem	NOUN
ijassa-86	136	18	such	such	ADJ
ijassa-86	136	19	as	as	ADP
ijassa-86	136	20	credit	credit	NOUN
ijassa-86	136	21	rating	rating	NOUN
ijassa-86	136	22	or	or	CCONJ
ijassa-86	136	23	other	other	ADJ
ijassa-86	136	24	financial	financial	ADJ
ijassa-86	136	25	systems	system	NOUN
ijassa-86	136	26	when	when	SCONJ
ijassa-86	136	27	the	the	DET
ijassa-86	136	28	variables	variable	NOUN
ijassa-86	136	29	or	or	CCONJ
ijassa-86	136	30	even	even	ADV
ijassa-86	136	31	the	the	DET
ijassa-86	136	32	problem	problem	NOUN
ijassa-86	136	33	are	be	AUX
ijassa-86	136	34	vaguely	vaguely	ADV
ijassa-86	136	35	defined	define	VERB
ijassa-86	136	36	.	.	PUNCT
ijassa-86	137	1	in	in	ADP
ijassa-86	137	2	addition	addition	NOUN
ijassa-86	137	3	,	,	PUNCT
ijassa-86	137	4	we	we	PRON
ijassa-86	137	5	showed	show	VERB
ijassa-86	137	6	the	the	DET
ijassa-86	137	7	learning	learning	NOUN
ijassa-86	137	8	ability	ability	NOUN
ijassa-86	137	9	can	can	AUX
ijassa-86	137	10	improve	improve	VERB
ijassa-86	137	11	the	the	DET
ijassa-86	137	12	initially	initially	ADV
ijassa-86	137	13	represented	represent	VERB
ijassa-86	137	14	approximate	approximate	ADJ
ijassa-86	137	15	model	model	NOUN
ijassa-86	137	16	as	as	SCONJ
ijassa-86	137	17	more	more	ADJ
ijassa-86	137	18	data	datum	NOUN
ijassa-86	137	19	become	become	VERB
ijassa-86	137	20	available	available	ADJ
ijassa-86	137	21	.	.	PUNCT
ijassa-86	138	1	references	reference	NOUN
ijassa-86	138	2	[	[	X
ijassa-86	138	3	1	1	NUM
ijassa-86	138	4	]	]	X
ijassa-86	138	5	r.o	r.o	PROPN
ijassa-86	138	6	.	.	PROPN
ijassa-86	138	7	edmister	edmister	NOUN
ijassa-86	138	8	.	.	PUNCT
ijassa-86	139	1	(	(	PUNCT
ijassa-86	139	2	1988	1988	NUM
ijassa-86	139	3	)	)	PUNCT
ijassa-86	139	4	,	,	PUNCT
ijassa-86	139	5	“	"	PUNCT
ijassa-86	139	6	combining	combine	VERB
ijassa-86	139	7	human	human	ADJ
ijassa-86	139	8	credit	credit	NOUN
ijassa-86	139	9	analysis	analysis	NOUN
ijassa-86	139	10	and	and	CCONJ
ijassa-86	139	11	numerical	numerical	ADJ
ijassa-86	139	12	credit	credit	NOUN
ijassa-86	139	13	scoring	scoring	NOUN
ijassa-86	139	14	for	for	ADP
ijassa-86	139	15	business	business	NOUN
ijassa-86	139	16	failure	failure	NOUN
ijassa-86	139	17	prediction	prediction	NOUN
ijassa-86	139	18	”	"	PUNCT
ijassa-86	139	19	,	,	PUNCT
ijassa-86	139	20	akron	akron	PROPN
ijassa-86	139	21	business	business	NOUN
ijassa-86	139	22	economic	economic	PROPN
ijassa-86	139	23	re26	re26	PROPN
ijassa-86	139	24	zhichun	zhichun	PROPN
ijassa-86	139	25	xu	xu	PROPN
ijassa-86	139	26	:	:	PUNCT
ijassa-86	139	27	empirical	empirical	ADJ
ijassa-86	139	28	analysis	analysis	NOUN
ijassa-86	139	29	of	of	ADP
ijassa-86	139	30	credit	credit	NOUN
ijassa-86	139	31	risk	risk	NOUN
ijassa-86	139	32	measure	measure	NOUN
ijassa-86	139	33	using	use	VERB
ijassa-86	139	34	fuzzy	fuzzy	ADJ
ijassa-86	139	35	adaptive	adaptive	ADJ
ijassa-86	139	36	neural	neural	ADJ
ijassa-86	139	37	-	-	PUNCT
ijassa-86	139	38	networks	network	NOUN
ijassa-86	139	39	.	.	PUNCT
ijassa-86	139	40	.	.	PUNCT
ijassa-86	140	1	.	.	PUNCT
ijassa-86	141	1	view	view	NOUN
ijassa-86	141	2	,	,	PUNCT
ijassa-86	141	3	vol.19	vol.19	NOUN
ijassa-86	141	4	,	,	PUNCT
ijassa-86	141	5	no.3	no.3	PROPN
ijassa-86	141	6	,	,	PUNCT
ijassa-86	141	7	pp.6	pp.6	PROPN
ijassa-86	141	8	-	-	PROPN
ijassa-86	141	9	14	14	NUM
ijassa-86	141	10	.	.	PUNCT
ijassa-86	142	1	[	[	X
ijassa-86	142	2	2	2	NUM
ijassa-86	142	3	]	]	X
ijassa-86	142	4	y.	y.	PROPN
ijassa-86	142	5	jiao	jiao	PROPN
ijassa-86	142	6	,	,	PUNCT
ijassa-86	142	7	y.r	y.r	PROPN
ijassa-86	142	8	.	.	PROPN
ijassa-86	142	9	syau	syau	PROPN
ijassa-86	142	10	,	,	PUNCT
ijassa-86	142	11	and	and	CCONJ
ijassa-86	142	12	s.e	s.e	PROPN
ijassa-86	142	13	lee	lee	PROPN
ijassa-86	142	14	.	.	PUNCT
ijassa-86	143	1	(	(	PUNCT
ijassa-86	143	2	2007	2007	NUM
ijassa-86	143	3	)	)	PUNCT
ijassa-86	143	4	,	,	PUNCT
ijassa-86	143	5	“	"	PUNCT
ijassa-86	143	6	modeling	model	VERB
ijassa-86	143	7	credit	credit	NOUN
ijassa-86	143	8	rating	rating	NOUN
ijassa-86	143	9	by	by	ADP
ijassa-86	143	10	fuzzy	fuzzy	ADJ
ijassa-86	143	11	adaptive	adaptive	ADJ
ijassa-86	143	12	network	network	NOUN
ijassa-86	143	13	”	"	PUNCT
ijassa-86	143	14	,	,	PUNCT
ijassa-86	143	15	mathematical	mathematical	ADJ
ijassa-86	143	16	and	and	CCONJ
ijassa-86	143	17	computer	computer	NOUN
ijassa-86	143	18	modeling	modeling	NOUN
ijassa-86	143	19	,	,	PUNCT
ijassa-86	143	20	vol.45	vol.45	X
ijassa-86	143	21	,	,	PUNCT
ijassa-86	143	22	pp.717731	pp.717731	PROPN
ijassa-86	143	23	.	.	PUNCT
ijassa-86	144	1	[	[	X
ijassa-86	144	2	3	3	NUM
ijassa-86	144	3	]	]	PUNCT
ijassa-86	144	4	h.j.rommelfanger	h.j.rommelfanger	NOUN
ijassa-86	144	5	.	.	PUNCT
ijassa-86	145	1	(	(	PUNCT
ijassa-86	145	2	1999	1999	NUM
ijassa-86	145	3	)	)	PUNCT
ijassa-86	146	1	,	,	PUNCT
ijassa-86	146	2	“	"	PUNCT
ijassa-86	146	3	fuzzy	fuzzy	ADJ
ijassa-86	146	4	logic	logic	NOUN
ijassa-86	146	5	based	base	VERB
ijassa-86	146	6	systems	system	NOUN
ijassa-86	146	7	fro	fro	NOUN
ijassa-86	146	8	checking	check	VERB
ijassa-86	146	9	credit	credit	NOUN
ijassa-86	146	10	solvency	solvency	NOUN
ijassa-86	146	11	of	of	ADP
ijassa-86	146	12	small	small	ADJ
ijassa-86	146	13	business	business	NOUN
ijassa-86	146	14	firms	firm	NOUN
ijassa-86	146	15	”	"	PUNCT
ijassa-86	146	16	,	,	PUNCT
ijassa-86	146	17	soft	soft	ADJ
ijassa-86	146	18	computing	computing	NOUN
ijassa-86	146	19	in	in	ADP
ijassa-86	146	20	financial	financial	ADJ
ijassa-86	146	21	engineering	engineering	NOUN
ijassa-86	146	22	,	,	PUNCT
ijassa-86	146	23	pp.371	pp.371	PROPN
ijassa-86	146	24	-	-	SYM
ijassa-86	146	25	387	387	NUM
ijassa-86	146	26	.	.	PUNCT
ijassa-86	147	1	[	[	X
ijassa-86	147	2	4	4	NUM
ijassa-86	147	3	]	]	SYM
ijassa-86	147	4	r.weber	r.weber	NOUN
ijassa-86	147	5	.	.	PUNCT
ijassa-86	148	1	(	(	PUNCT
ijassa-86	148	2	1999	1999	NUM
ijassa-86	148	3	)	)	PUNCT
ijassa-86	148	4	,	,	PUNCT
ijassa-86	148	5	“	"	PUNCT
ijassa-86	148	6	applications	application	NOUN
ijassa-86	148	7	of	of	ADP
ijassa-86	148	8	fuzzy	fuzzy	ADJ
ijassa-86	148	9	logic	logic	NOUN
ijassa-86	148	10	for	for	ADP
ijassa-86	148	11	credit	credit	NOUN
ijassa-86	148	12	worthiness	worthiness	NOUN
ijassa-86	148	13	evaluation	evaluation	NOUN
ijassa-86	148	14	”	"	PUNCT
ijassa-86	148	15	,	,	PUNCT
ijassa-86	148	16	soft	soft	ADJ
ijassa-86	148	17	computing	computing	NOUN
ijassa-86	148	18	in	in	ADP
ijassa-86	148	19	financial	financial	ADJ
ijassa-86	148	20	engineering	engineering	NOUN
ijassa-86	148	21	,	,	PUNCT
ijassa-86	148	22	pp.388	pp.388	PROPN
ijassa-86	148	23	-	-	PUNCT
ijassa-86	148	24	401	401	NUM
ijassa-86	148	25	.	.	PUNCT
ijassa-86	149	1	[	[	X
ijassa-86	149	2	5	5	NUM
ijassa-86	149	3	]	]	X
ijassa-86	149	4	y.r	y.r	PROPN
ijassa-86	149	5	.	.	PROPN
ijassa-86	149	6	syau	syau	PROPN
ijassa-86	149	7	,	,	PUNCT
ijassa-86	149	8	h.t	h.t	PROPN
ijassa-86	149	9	.	.	PROPN
ijassa-86	149	10	hsieh	hsieh	PROPN
ijassa-86	149	11	,	,	PUNCT
ijassa-86	149	12	e.s	e.s	PROPN
ijassa-86	149	13	.	.	PROPN
ijassa-86	149	14	lee	lee	PROPN
ijassa-86	149	15	.	.	PUNCT
ijassa-86	150	1	(	(	PUNCT
ijassa-86	150	2	2001	2001	NUM
ijassa-86	150	3	)	)	PUNCT
ijassa-86	150	4	,	,	PUNCT
ijassa-86	150	5	“	"	PUNCT
ijassa-86	150	6	fuzzy	fuzzy	ADJ
ijassa-86	150	7	numbers	number	NOUN
ijassa-86	150	8	in	in	ADP
ijassa-86	150	9	the	the	DET
ijassa-86	150	10	credit	credit	NOUN
ijassa-86	150	11	rating	rating	NOUN
ijassa-86	150	12	of	of	ADP
ijassa-86	150	13	enterprise	enterprise	NOUN
ijassa-86	150	14	financial	financial	ADJ
ijassa-86	150	15	conditions	condition	NOUN
ijassa-86	150	16	”	"	PUNCT
ijassa-86	150	17	,	,	PUNCT
ijassa-86	150	18	review	review	NOUN
ijassa-86	150	19	of	of	ADP
ijassa-86	150	20	quatitative	quatitative	ADJ
ijassa-86	150	21	finance	finance	NOUN
ijassa-86	150	22	and	and	CCONJ
ijassa-86	150	23	accounting	accounting	NOUN
ijassa-86	150	24	,	,	PUNCT
ijassa-86	150	25	vol.45	vol.45	X
ijassa-86	150	26	,	,	PUNCT
ijassa-86	150	27	pp.351	pp.351	NOUN
ijassa-86	150	28	-	-	PUNCT
ijassa-86	150	29	360	360	NUM
ijassa-86	150	30	.	.	PUNCT
ijassa-86	151	1	[	[	X
ijassa-86	151	2	6	6	NUM
ijassa-86	151	3	]	]	X
ijassa-86	151	4	l.h	l.h	PROPN
ijassa-86	151	5	.	.	PROPN
ijassa-86	151	6	chen	chen	PROPN
ijassa-86	151	7	,	,	PUNCT
ijassa-86	151	8	t.w.chiou	t.w.chiou	NOUN
ijassa-86	151	9	.	.	PUNCT
ijassa-86	152	1	(	(	PUNCT
ijassa-86	152	2	1999	1999	NUM
ijassa-86	152	3	)	)	PUNCT
ijassa-86	152	4	,	,	PUNCT
ijassa-86	152	5	“	"	PUNCT
ijassa-86	152	6	a	a	DET
ijassa-86	152	7	fuzzy	fuzzy	ADJ
ijassa-86	152	8	credit	credit	NOUN
ijassa-86	152	9	rating	rating	NOUN
ijassa-86	152	10	approach	approach	NOUN
ijassa-86	152	11	for	for	ADP
ijassa-86	152	12	commercial	commercial	ADJ
ijassa-86	152	13	loans	loan	NOUN
ijassa-86	152	14	,	,	PUNCT
ijassa-86	152	15	a	a	DET
ijassa-86	152	16	taiwan	taiwan	PROPN
ijassa-86	152	17	case	case	NOUN
ijassa-86	152	18	,	,	PUNCT
ijassa-86	152	19	omega	omega	NOUN
ijassa-86	152	20	international	international	PROPN
ijassa-86	152	21	”	"	PUNCT
ijassa-86	152	22	,	,	PUNCT
ijassa-86	152	23	journal	journal	NOUN
ijassa-86	152	24	of	of	ADP
ijassa-86	152	25	management	management	NOUN
ijassa-86	152	26	science	science	NOUN
ijassa-86	152	27	,	,	PUNCT
ijassa-86	152	28	vol.27	vol.27	PROPN
ijassa-86	152	29	,	,	PUNCT
ijassa-86	152	30	pp.407	pp.407	PROPN
ijassa-86	152	31	-	-	PUNCT
ijassa-86	152	32	419	419	NUM
ijassa-86	152	33	.	.	PUNCT
ijassa-86	153	1	corresponding	correspond	VERB
ijassa-86	153	2	author	author	NOUN
ijassa-86	153	3	zhichun	zhichun	PROPN
ijassa-86	153	4	xu	xu	PROPN
ijassa-86	153	5	can	can	AUX
ijassa-86	153	6	be	be	AUX
ijassa-86	153	7	contacted	contact	VERB
ijassa-86	153	8	at	at	ADP
ijassa-86	153	9	:	:	PUNCT
ijassa-86	153	10	spring0267@yeah.net	spring0267@yeah.net	NOUN