id	sid	tid	token	lemma	pos
hjic-126	1	1	microsoft	microsoft	PROPN
hjic-126	1	2	word	word	NOUN
hjic-126	1	3	01_r.doc	01_r.doc	NUM
hjic-126	1	4	hungarian	hungarian	ADJ
hjic-126	1	5	journal	journal	NOUN
hjic-126	1	6	of	of	ADP
hjic-126	1	7	industrial	industrial	ADJ
hjic-126	1	8	chemistry	chemistry	NOUN
hjic-126	1	9	veszprém	veszprém	NOUN
hjic-126	1	10	vol	vol	NOUN
hjic-126	1	11	.	.	PROPN
hjic-126	2	1	35	35	NUM
hjic-126	2	2	.	.	PUNCT
hjic-126	3	1	pp	pp	ADJ
hjic-126	3	2	.	.	PUNCT
hjic-126	4	1	101	101	NUM
hjic-126	4	2	-	-	SYM
hjic-126	4	3	108	108	NUM
hjic-126	4	4	(	(	PUNCT
hjic-126	4	5	2007	2007	NUM
hjic-126	4	6	)	)	PUNCT
hjic-126	4	7	interpetable	interpetable	ADJ
hjic-126	4	8	support	support	NOUN
hjic-126	4	9	vector	vector	NOUN
hjic-126	4	10	machines	machine	NOUN
hjic-126	4	11	in	in	ADP
hjic-126	4	12	regression	regression	NOUN
hjic-126	4	13	and	and	CCONJ
hjic-126	4	14	classification	classification	NOUN
hjic-126	4	15	–	–	PUNCT
hjic-126	4	16	application	application	NOUN
hjic-126	4	17	in	in	ADP
hjic-126	4	18	process	process	NOUN
hjic-126	4	19	engineering	engineering	NOUN
hjic-126	4	20	t.	t.	PROPN
hjic-126	4	21	kenesei	kenesei	PROPN
hjic-126	4	22	,	,	PUNCT
hjic-126	4	23	j.	j.	PROPN
hjic-126	4	24	abonyi	abonyi	PROPN
hjic-126	4	25	university	university	PROPN
hjic-126	4	26	of	of	ADP
hjic-126	4	27	pannonia	pannonia	PROPN
hjic-126	4	28	,	,	PUNCT
hjic-126	4	29	department	department	NOUN
hjic-126	4	30	of	of	ADP
hjic-126	4	31	process	process	NOUN
hjic-126	4	32	engineering	engineering	NOUN
hjic-126	4	33	,	,	PUNCT
hjic-126	4	34	h-8201	h-8201	NUM
hjic-126	4	35	veszprém	veszprém	NOUN
hjic-126	4	36	,	,	PUNCT
hjic-126	4	37	p.o.box	p.o.box	PROPN
hjic-126	4	38	158	158	NUM
hjic-126	4	39	,	,	PUNCT
hjic-126	4	40	hungary	hungary	PROPN
hjic-126	4	41	abonyij@fmt.vein.hu	abonyij@fmt.vein.hu	PROPN
hjic-126	4	42	,	,	PUNCT
hjic-126	4	43	www.fmt.vein.hu/softcomp	www.fmt.vein.hu/softcomp	ADJ
hjic-126	4	44	tools	tool	NOUN
hjic-126	4	45	from	from	ADP
hjic-126	4	46	the	the	DET
hjic-126	4	47	armoury	armoury	NOUN
hjic-126	4	48	of	of	ADP
hjic-126	4	49	soft	soft	ADJ
hjic-126	4	50	computing	computing	NOUN
hjic-126	4	51	have	have	AUX
hjic-126	4	52	been	be	AUX
hjic-126	4	53	in	in	ADP
hjic-126	4	54	focus	focus	NOUN
hjic-126	4	55	of	of	ADP
hjic-126	4	56	researches	research	NOUN
hjic-126	4	57	recently	recently	ADV
hjic-126	4	58	,	,	PUNCT
hjic-126	4	59	since	since	SCONJ
hjic-126	4	60	soft	soft	ADJ
hjic-126	4	61	computing	computing	NOUN
hjic-126	4	62	techniques	technique	NOUN
hjic-126	4	63	are	be	AUX
hjic-126	4	64	used	use	VERB
hjic-126	4	65	for	for	ADP
hjic-126	4	66	fault	fault	NOUN
hjic-126	4	67	detection	detection	NOUN
hjic-126	4	68	(	(	PUNCT
hjic-126	4	69	classification	classification	NOUN
hjic-126	4	70	techniques	technique	NOUN
hjic-126	4	71	)	)	PUNCT
hjic-126	4	72	,	,	PUNCT
hjic-126	4	73	forecasting	forecasting	NOUN
hjic-126	4	74	of	of	ADP
hjic-126	4	75	time	time	NOUN
hjic-126	4	76	-	-	PUNCT
hjic-126	4	77	series	series	NOUN
hjic-126	4	78	data	data	PROPN
hjic-126	4	79	,	,	PUNCT
hjic-126	4	80	inference	inference	NOUN
hjic-126	4	81	,	,	PUNCT
hjic-126	4	82	hypothesis	hypothesis	NOUN
hjic-126	4	83	testing	testing	NOUN
hjic-126	4	84	,	,	PUNCT
hjic-126	4	85	and	and	CCONJ
hjic-126	4	86	modelling	modelling	NOUN
hjic-126	4	87	of	of	ADP
hjic-126	4	88	causal	causal	ADJ
hjic-126	4	89	relationships	relationship	NOUN
hjic-126	4	90	(	(	PUNCT
hjic-126	4	91	regression	regression	NOUN
hjic-126	4	92	techniques	technique	NOUN
hjic-126	4	93	)	)	PUNCT
hjic-126	4	94	in	in	ADP
hjic-126	4	95	process	process	NOUN
hjic-126	4	96	engineering	engineering	NOUN
hjic-126	4	97	.	.	PUNCT
hjic-126	5	1	these	these	DET
hjic-126	5	2	techniques	technique	NOUN
hjic-126	5	3	solve	solve	VERB
hjic-126	5	4	two	two	NUM
hjic-126	5	5	cardinal	cardinal	ADJ
hjic-126	5	6	problems	problem	NOUN
hjic-126	5	7	:	:	PUNCT
hjic-126	5	8	learning	learn	VERB
hjic-126	5	9	from	from	ADP
hjic-126	5	10	experimental	experimental	ADJ
hjic-126	5	11	data	datum	NOUN
hjic-126	5	12	by	by	ADP
hjic-126	5	13	neural	neural	ADJ
hjic-126	5	14	networks	network	NOUN
hjic-126	5	15	and	and	CCONJ
hjic-126	5	16	support	support	NOUN
hjic-126	5	17	vector	vector	NOUN
hjic-126	5	18	based	base	VERB
hjic-126	5	19	techniques	technique	NOUN
hjic-126	5	20	and	and	CCONJ
hjic-126	5	21	embedding	embed	VERB
hjic-126	5	22	existing	exist	VERB
hjic-126	5	23	structured	structured	ADJ
hjic-126	5	24	human	human	ADJ
hjic-126	5	25	knowledge	knowledge	NOUN
hjic-126	5	26	into	into	ADP
hjic-126	5	27	fuzzy	fuzzy	ADJ
hjic-126	5	28	models	model	NOUN
hjic-126	5	29	.	.	PUNCT
hjic-126	6	1	support	support	NOUN
hjic-126	6	2	vector	vector	NOUN
hjic-126	6	3	based	base	VERB
hjic-126	6	4	models	model	NOUN
hjic-126	6	5	are	be	AUX
hjic-126	6	6	one	one	NUM
hjic-126	6	7	of	of	ADP
hjic-126	6	8	the	the	DET
hjic-126	6	9	most	most	ADV
hjic-126	6	10	commonly	commonly	ADV
hjic-126	6	11	used	use	VERB
hjic-126	6	12	soft	soft	ADJ
hjic-126	6	13	computing	computing	NOUN
hjic-126	6	14	techniques	technique	NOUN
hjic-126	6	15	.	.	PUNCT
hjic-126	7	1	support	support	NOUN
hjic-126	7	2	vector	vector	NOUN
hjic-126	7	3	based	base	VERB
hjic-126	7	4	models	model	NOUN
hjic-126	7	5	are	be	AUX
hjic-126	7	6	strong	strong	ADJ
hjic-126	7	7	in	in	ADP
hjic-126	7	8	feature	feature	NOUN
hjic-126	7	9	selection	selection	NOUN
hjic-126	7	10	and	and	CCONJ
hjic-126	7	11	to	to	PART
hjic-126	7	12	achieve	achieve	VERB
hjic-126	7	13	robust	robust	ADJ
hjic-126	7	14	models	model	NOUN
hjic-126	7	15	and	and	CCONJ
hjic-126	7	16	fuzzy	fuzzy	ADJ
hjic-126	7	17	logic	logic	NOUN
hjic-126	7	18	helps	help	VERB
hjic-126	7	19	to	to	PART
hjic-126	7	20	improve	improve	VERB
hjic-126	7	21	the	the	DET
hjic-126	7	22	interpretability	interpretability	NOUN
hjic-126	7	23	of	of	ADP
hjic-126	7	24	models	model	NOUN
hjic-126	7	25	.	.	PUNCT
hjic-126	8	1	this	this	DET
hjic-126	8	2	paper	paper	NOUN
hjic-126	8	3	deals	deal	VERB
hjic-126	8	4	with	with	ADP
hjic-126	8	5	combining	combine	VERB
hjic-126	8	6	these	these	DET
hjic-126	8	7	existing	exist	VERB
hjic-126	8	8	soft	soft	ADJ
hjic-126	8	9	computing	computing	NOUN
hjic-126	8	10	techniques	technique	NOUN
hjic-126	8	11	to	to	PART
hjic-126	8	12	get	get	VERB
hjic-126	8	13	interpretable	interpretable	ADJ
hjic-126	8	14	but	but	CCONJ
hjic-126	8	15	accurate	accurate	ADJ
hjic-126	8	16	models	model	NOUN
hjic-126	8	17	for	for	ADP
hjic-126	8	18	industrial	industrial	ADJ
hjic-126	8	19	purposes	purpose	NOUN
hjic-126	8	20	.	.	PUNCT
hjic-126	9	1	the	the	DET
hjic-126	9	2	paper	paper	NOUN
hjic-126	9	3	describes	describe	VERB
hjic-126	9	4	that	that	SCONJ
hjic-126	9	5	trained	train	VERB
hjic-126	9	6	support	support	NOUN
hjic-126	9	7	vector	vector	NOUN
hjic-126	9	8	based	base	VERB
hjic-126	9	9	models	model	NOUN
hjic-126	9	10	can	can	AUX
hjic-126	9	11	be	be	AUX
hjic-126	9	12	used	use	VERB
hjic-126	9	13	for	for	ADP
hjic-126	9	14	the	the	DET
hjic-126	9	15	construction	construction	NOUN
hjic-126	9	16	of	of	ADP
hjic-126	9	17	fuzzy	fuzzy	ADJ
hjic-126	9	18	rule	rule	NOUN
hjic-126	9	19	-	-	PUNCT
hjic-126	9	20	based	base	VERB
hjic-126	9	21	classifier	classifier	NOUN
hjic-126	9	22	or	or	CCONJ
hjic-126	9	23	regression	regression	NOUN
hjic-126	9	24	models	model	NOUN
hjic-126	9	25	.	.	PUNCT
hjic-126	10	1	however	however	ADV
hjic-126	10	2	,	,	PUNCT
hjic-126	10	3	the	the	DET
hjic-126	10	4	transformed	transform	VERB
hjic-126	10	5	support	support	NOUN
hjic-126	10	6	vector	vector	NOUN
hjic-126	10	7	model	model	NOUN
hjic-126	10	8	does	do	AUX
hjic-126	10	9	not	not	PART
hjic-126	10	10	automatically	automatically	ADV
hjic-126	10	11	result	result	VERB
hjic-126	10	12	in	in	ADP
hjic-126	10	13	an	an	DET
hjic-126	10	14	interpretable	interpretable	ADJ
hjic-126	10	15	fuzzy	fuzzy	ADJ
hjic-126	10	16	model	model	NOUN
hjic-126	10	17	because	because	SCONJ
hjic-126	10	18	the	the	DET
hjic-126	10	19	support	support	NOUN
hjic-126	10	20	vector	vector	NOUN
hjic-126	10	21	model	model	NOUN
hjic-126	10	22	results	result	NOUN
hjic-126	10	23	in	in	ADP
hjic-126	10	24	a	a	DET
hjic-126	10	25	complex	complex	ADJ
hjic-126	10	26	rulebase	rulebase	NOUN
hjic-126	10	27	,	,	PUNCT
hjic-126	10	28	where	where	SCONJ
hjic-126	10	29	the	the	DET
hjic-126	10	30	number	number	NOUN
hjic-126	10	31	of	of	ADP
hjic-126	10	32	rules	rule	NOUN
hjic-126	10	33	is	be	AUX
hjic-126	10	34	approximately	approximately	ADV
hjic-126	10	35	40	40	NUM
hjic-126	10	36	-	-	SYM
hjic-126	10	37	60	60	NUM
hjic-126	10	38	%	%	NOUN
hjic-126	10	39	of	of	ADP
hjic-126	10	40	the	the	DET
hjic-126	10	41	number	number	NOUN
hjic-126	10	42	of	of	ADP
hjic-126	10	43	the	the	DET
hjic-126	10	44	training	training	NOUN
hjic-126	10	45	data	datum	NOUN
hjic-126	10	46	.	.	PUNCT
hjic-126	11	1	hence	hence	ADV
hjic-126	11	2	,	,	PUNCT
hjic-126	11	3	reduction	reduction	NOUN
hjic-126	11	4	of	of	ADP
hjic-126	11	5	the	the	DET
hjic-126	11	6	support	support	NOUN
hjic-126	11	7	model	model	NOUN
hjic-126	11	8	-	-	PUNCT
hjic-126	11	9	initialized	initialize	VERB
hjic-126	11	10	fuzzy	fuzzy	ADJ
hjic-126	11	11	model	model	NOUN
hjic-126	11	12	is	be	AUX
hjic-126	11	13	an	an	DET
hjic-126	11	14	essential	essential	ADJ
hjic-126	11	15	task	task	NOUN
hjic-126	11	16	.	.	PUNCT
hjic-126	12	1	for	for	ADP
hjic-126	12	2	this	this	DET
hjic-126	12	3	purpose	purpose	NOUN
hjic-126	12	4	,	,	PUNCT
hjic-126	12	5	a	a	DET
hjic-126	12	6	three	three	NUM
hjic-126	12	7	-	-	PUNCT
hjic-126	12	8	step	step	NOUN
hjic-126	12	9	reduction	reduction	NOUN
hjic-126	12	10	algorithm	algorithm	NOUN
hjic-126	12	11	is	be	AUX
hjic-126	12	12	used	use	VERB
hjic-126	12	13	on	on	ADP
hjic-126	12	14	the	the	DET
hjic-126	12	15	combination	combination	NOUN
hjic-126	12	16	of	of	ADP
hjic-126	12	17	previously	previously	ADV
hjic-126	12	18	published	publish	VERB
hjic-126	12	19	model	model	NOUN
hjic-126	12	20	reduction	reduction	NOUN
hjic-126	12	21	techniques	technique	NOUN
hjic-126	12	22	.	.	PUNCT
hjic-126	13	1	in	in	ADP
hjic-126	13	2	the	the	DET
hjic-126	13	3	first	first	ADJ
hjic-126	13	4	step	step	NOUN
hjic-126	13	5	,	,	PUNCT
hjic-126	13	6	the	the	DET
hjic-126	13	7	identification	identification	NOUN
hjic-126	13	8	of	of	ADP
hjic-126	13	9	the	the	DET
hjic-126	13	10	sv	sv	PROPN
hjic-126	13	11	model	model	NOUN
hjic-126	13	12	is	be	AUX
hjic-126	13	13	followed	follow	VERB
hjic-126	13	14	by	by	ADP
hjic-126	13	15	the	the	DET
hjic-126	13	16	application	application	NOUN
hjic-126	13	17	of	of	ADP
hjic-126	13	18	the	the	DET
hjic-126	13	19	reduced	reduce	VERB
hjic-126	13	20	set	set	VERB
hjic-126	13	21	method	method	NOUN
hjic-126	13	22	to	to	PART
hjic-126	13	23	decrease	decrease	VERB
hjic-126	13	24	the	the	DET
hjic-126	13	25	number	number	NOUN
hjic-126	13	26	of	of	ADP
hjic-126	13	27	kernel	kernel	PROPN
hjic-126	13	28	functions	function	NOUN
hjic-126	13	29	.	.	PUNCT
hjic-126	14	1	the	the	DET
hjic-126	14	2	reduced	reduce	VERB
hjic-126	14	3	sv	sv	PROPN
hjic-126	14	4	model	model	PROPN
hjic-126	14	5	is	be	AUX
hjic-126	14	6	then	then	ADV
hjic-126	14	7	transformed	transform	VERB
hjic-126	14	8	into	into	ADP
hjic-126	14	9	a	a	DET
hjic-126	14	10	fuzzy	fuzzy	ADJ
hjic-126	14	11	rule	rule	NOUN
hjic-126	14	12	-	-	PUNCT
hjic-126	14	13	based	base	VERB
hjic-126	14	14	model	model	NOUN
hjic-126	14	15	.	.	PUNCT
hjic-126	15	1	the	the	DET
hjic-126	15	2	interpretability	interpretability	NOUN
hjic-126	15	3	of	of	ADP
hjic-126	15	4	a	a	DET
hjic-126	15	5	fuzzy	fuzzy	ADJ
hjic-126	15	6	model	model	NOUN
hjic-126	15	7	highly	highly	ADV
hjic-126	15	8	depends	depend	VERB
hjic-126	15	9	on	on	ADP
hjic-126	15	10	the	the	DET
hjic-126	15	11	distribution	distribution	NOUN
hjic-126	15	12	of	of	ADP
hjic-126	15	13	the	the	DET
hjic-126	15	14	membership	membership	NOUN
hjic-126	15	15	functions	function	NOUN
hjic-126	15	16	.	.	PUNCT
hjic-126	16	1	hence	hence	ADV
hjic-126	16	2	,	,	PUNCT
hjic-126	16	3	the	the	DET
hjic-126	16	4	second	second	ADJ
hjic-126	16	5	reduction	reduction	NOUN
hjic-126	16	6	step	step	NOUN
hjic-126	16	7	is	be	AUX
hjic-126	16	8	achieved	achieve	VERB
hjic-126	16	9	by	by	ADP
hjic-126	16	10	merging	merge	VERB
hjic-126	16	11	similar	similar	ADJ
hjic-126	16	12	fuzzy	fuzzy	ADJ
hjic-126	16	13	sets	set	NOUN
hjic-126	16	14	based	base	VERB
hjic-126	16	15	on	on	ADP
hjic-126	16	16	a	a	DET
hjic-126	16	17	similarity	similarity	NOUN
hjic-126	16	18	measure	measure	NOUN
hjic-126	16	19	.	.	PUNCT
hjic-126	17	1	finally	finally	ADV
hjic-126	17	2	,	,	PUNCT
hjic-126	17	3	in	in	ADP
hjic-126	17	4	the	the	DET
hjic-126	17	5	third	third	ADJ
hjic-126	17	6	step	step	NOUN
hjic-126	17	7	,	,	PUNCT
hjic-126	17	8	an	an	DET
hjic-126	17	9	orthogonal	orthogonal	ADJ
hjic-126	17	10	least	least	ADJ
hjic-126	17	11	-	-	PUNCT
hjic-126	17	12	squares	square	NOUN
hjic-126	17	13	method	method	NOUN
hjic-126	17	14	is	be	AUX
hjic-126	17	15	used	use	VERB
hjic-126	17	16	to	to	PART
hjic-126	17	17	reduce	reduce	VERB
hjic-126	17	18	the	the	DET
hjic-126	17	19	number	number	NOUN
hjic-126	17	20	of	of	ADP
hjic-126	17	21	rules	rule	NOUN
hjic-126	17	22	and	and	CCONJ
hjic-126	17	23	re	re	VERB
hjic-126	17	24	-	-	NOUN
hjic-126	17	25	estimate	estimate	VERB
hjic-126	17	26	the	the	DET
hjic-126	17	27	consequent	consequent	ADJ
hjic-126	17	28	parameters	parameter	NOUN
hjic-126	17	29	of	of	ADP
hjic-126	17	30	the	the	DET
hjic-126	17	31	fuzzy	fuzzy	ADJ
hjic-126	17	32	rule	rule	NOUN
hjic-126	17	33	-	-	PUNCT
hjic-126	17	34	based	base	VERB
hjic-126	17	35	model	model	NOUN
hjic-126	17	36	.	.	PUNCT
hjic-126	18	1	the	the	DET
hjic-126	18	2	proposed	propose	VERB
hjic-126	18	3	approach	approach	NOUN
hjic-126	18	4	is	be	AUX
hjic-126	18	5	applied	apply	VERB
hjic-126	18	6	for	for	ADP
hjic-126	18	7	classification	classification	NOUN
hjic-126	18	8	problems	problem	NOUN
hjic-126	18	9	and	and	CCONJ
hjic-126	18	10	applied	apply	VERB
hjic-126	18	11	for	for	ADP
hjic-126	18	12	hammerstein	hammerstein	NOUN
hjic-126	18	13	system	system	NOUN
hjic-126	18	14	identification	identification	NOUN
hjic-126	18	15	to	to	PART
hjic-126	18	16	illustrate	illustrate	VERB
hjic-126	18	17	the	the	DET
hjic-126	18	18	effectiveness	effectiveness	NOUN
hjic-126	18	19	of	of	ADP
hjic-126	18	20	the	the	DET
hjic-126	18	21	technique	technique	NOUN
hjic-126	18	22	.	.	PUNCT
hjic-126	19	1	introduction	introduction	NOUN
hjic-126	19	2	tools	tool	NOUN
hjic-126	19	3	from	from	ADP
hjic-126	19	4	the	the	DET
hjic-126	19	5	armoury	armoury	NOUN
hjic-126	19	6	of	of	ADP
hjic-126	19	7	soft	soft	ADJ
hjic-126	19	8	computing	computing	NOUN
hjic-126	19	9	have	have	AUX
hjic-126	19	10	been	be	AUX
hjic-126	19	11	in	in	ADP
hjic-126	19	12	focus	focus	NOUN
hjic-126	19	13	of	of	ADP
hjic-126	19	14	researches	research	NOUN
hjic-126	19	15	recently	recently	ADV
hjic-126	19	16	,	,	PUNCT
hjic-126	19	17	since	since	SCONJ
hjic-126	19	18	soft	soft	ADJ
hjic-126	19	19	computing	computing	NOUN
hjic-126	19	20	techniques	technique	NOUN
hjic-126	19	21	are	be	AUX
hjic-126	19	22	used	use	VERB
hjic-126	19	23	for	for	ADP
hjic-126	19	24	fault	fault	NOUN
hjic-126	19	25	detection	detection	NOUN
hjic-126	19	26	(	(	PUNCT
hjic-126	19	27	classification	classification	NOUN
hjic-126	19	28	techniques	technique	NOUN
hjic-126	19	29	)	)	PUNCT
hjic-126	19	30	,	,	PUNCT
hjic-126	19	31	forecasting	forecasting	NOUN
hjic-126	19	32	of	of	ADP
hjic-126	19	33	time	time	NOUN
hjic-126	19	34	-	-	PUNCT
hjic-126	19	35	series	series	NOUN
hjic-126	19	36	data	data	PROPN
hjic-126	19	37	,	,	PUNCT
hjic-126	19	38	inference	inference	NOUN
hjic-126	19	39	,	,	PUNCT
hjic-126	19	40	hypothesis	hypothesis	NOUN
hjic-126	19	41	testing	testing	NOUN
hjic-126	19	42	,	,	PUNCT
hjic-126	19	43	and	and	CCONJ
hjic-126	19	44	modelling	modelling	NOUN
hjic-126	19	45	of	of	ADP
hjic-126	19	46	causal	causal	ADJ
hjic-126	19	47	relationships	relationship	NOUN
hjic-126	19	48	(	(	PUNCT
hjic-126	19	49	regression	regression	NOUN
hjic-126	19	50	techniques	technique	NOUN
hjic-126	19	51	)	)	PUNCT
hjic-126	19	52	in	in	ADP
hjic-126	19	53	process	process	NOUN
hjic-126	19	54	engineering	engineering	NOUN
hjic-126	19	55	.	.	PUNCT
hjic-126	20	1	as	as	ADP
hjic-126	20	2	mankind	mankind	NOUN
hjic-126	20	3	use	use	NOUN
hjic-126	20	4	,	,	PUNCT
hjic-126	20	5	store	store	VERB
hjic-126	20	6	and	and	CCONJ
hjic-126	20	7	maintain	maintain	VERB
hjic-126	20	8	enormous	enormous	ADJ
hjic-126	20	9	size	size	NOUN
hjic-126	20	10	of	of	ADP
hjic-126	20	11	information	information	NOUN
hjic-126	20	12	in	in	ADP
hjic-126	20	13	databases	database	NOUN
hjic-126	20	14	(	(	PUNCT
hjic-126	20	15	the	the	DET
hjic-126	20	16	amount	amount	NOUN
hjic-126	20	17	of	of	ADP
hjic-126	20	18	data	datum	NOUN
hjic-126	20	19	used	use	VERB
hjic-126	20	20	doubles	double	VERB
hjic-126	20	21	almost	almost	ADV
hjic-126	20	22	every	every	PRON
hjic-126	20	23	year	year	NOUN
hjic-126	20	24	)	)	PUNCT
hjic-126	20	25	modelling	model	VERB
hjic-126	20	26	techniques	technique	NOUN
hjic-126	20	27	getting	get	VERB
hjic-126	20	28	more	more	ADJ
hjic-126	20	29	and	and	CCONJ
hjic-126	20	30	more	more	ADV
hjic-126	20	31	important	important	ADJ
hjic-126	20	32	.	.	PUNCT
hjic-126	21	1	this	this	DET
hjic-126	21	2	phenomenon	phenomenon	NOUN
hjic-126	21	3	implies	imply	VERB
hjic-126	21	4	the	the	DET
hjic-126	21	5	need	need	NOUN
hjic-126	21	6	of	of	ADP
hjic-126	21	7	new	new	ADJ
hjic-126	21	8	generation	generation	NOUN
hjic-126	21	9	computational	computational	ADJ
hjic-126	21	10	techniques	technique	NOUN
hjic-126	21	11	to	to	PART
hjic-126	21	12	support	support	VERB
hjic-126	21	13	knowledge	knowledge	NOUN
hjic-126	21	14	extraction	extraction	NOUN
hjic-126	21	15	from	from	ADP
hjic-126	21	16	data	datum	NOUN
hjic-126	21	17	sources	source	NOUN
hjic-126	21	18	.	.	PUNCT
hjic-126	22	1	historically	historically	ADV
hjic-126	22	2	the	the	DET
hjic-126	22	3	notion	notion	NOUN
hjic-126	22	4	of	of	ADP
hjic-126	22	5	finding	find	VERB
hjic-126	22	6	useful	useful	ADJ
hjic-126	22	7	patterns	pattern	NOUN
hjic-126	22	8	in	in	ADP
hjic-126	22	9	data	datum	NOUN
hjic-126	22	10	has	have	AUX
hjic-126	22	11	been	be	AUX
hjic-126	22	12	given	give	VERB
hjic-126	22	13	a	a	DET
hjic-126	22	14	variety	variety	NOUN
hjic-126	22	15	of	of	ADP
hjic-126	22	16	names	name	NOUN
hjic-126	22	17	including	include	VERB
hjic-126	22	18	data	datum	NOUN
hjic-126	22	19	mining	mining	NOUN
hjic-126	22	20	,	,	PUNCT
hjic-126	22	21	knowledge	knowledge	NOUN
hjic-126	22	22	extraction	extraction	NOUN
hjic-126	22	23	,	,	PUNCT
hjic-126	22	24	information	information	NOUN
hjic-126	22	25	discovery	discovery	NOUN
hjic-126	22	26	,	,	PUNCT
hjic-126	22	27	and	and	CCONJ
hjic-126	22	28	data	data	NOUN
hjic-126	22	29	pattern	pattern	NOUN
hjic-126	22	30	processing	processing	NOUN
hjic-126	22	31	.	.	PUNCT
hjic-126	23	1	the	the	DET
hjic-126	23	2	term	term	NOUN
hjic-126	23	3	data	datum	NOUN
hjic-126	23	4	mining	mining	NOUN
hjic-126	23	5	has	have	AUX
hjic-126	23	6	been	be	AUX
hjic-126	23	7	mostly	mostly	ADV
hjic-126	23	8	used	use	VERB
hjic-126	23	9	by	by	ADP
hjic-126	23	10	statisticians	statistician	NOUN
hjic-126	23	11	,	,	PUNCT
hjic-126	23	12	data	datum	NOUN
hjic-126	23	13	analysts	analyst	NOUN
hjic-126	23	14	,	,	PUNCT
hjic-126	23	15	and	and	CCONJ
hjic-126	23	16	the	the	DET
hjic-126	23	17	management	management	NOUN
hjic-126	23	18	information	information	NOUN
hjic-126	23	19	systems	system	NOUN
hjic-126	23	20	(	(	PUNCT
hjic-126	23	21	mis	mis	NOUN
hjic-126	23	22	)	)	PUNCT
hjic-126	23	23	communities	community	NOUN
hjic-126	23	24	.	.	PUNCT
hjic-126	24	1	[	[	X
hjic-126	24	2	1	1	X
hjic-126	24	3	]	]	PUNCT
hjic-126	24	4	the	the	DET
hjic-126	24	5	term	term	NOUN
hjic-126	24	6	knowledge	knowledge	NOUN
hjic-126	24	7	discovery	discovery	NOUN
hjic-126	24	8	in	in	ADP
hjic-126	24	9	databases	database	NOUN
hjic-126	24	10	(	(	PUNCT
hjic-126	24	11	kdd	kdd	PROPN
hjic-126	24	12	)	)	PUNCT
hjic-126	24	13	refers	refer	VERB
hjic-126	24	14	to	to	ADP
hjic-126	24	15	the	the	DET
hjic-126	24	16	overall	overall	ADJ
hjic-126	24	17	process	process	NOUN
hjic-126	24	18	of	of	ADP
hjic-126	24	19	discovering	discover	VERB
hjic-126	24	20	knowledge	knowledge	NOUN
hjic-126	24	21	from	from	ADP
hjic-126	24	22	data	datum	NOUN
hjic-126	24	23	,	,	PUNCT
hjic-126	24	24	while	while	SCONJ
hjic-126	24	25	data	datum	NOUN
hjic-126	24	26	mining	mining	NOUN
hjic-126	24	27	refers	refer	VERB
hjic-126	24	28	to	to	ADP
hjic-126	24	29	a	a	DET
hjic-126	24	30	particular	particular	ADJ
hjic-126	24	31	step	step	NOUN
hjic-126	24	32	of	of	ADP
hjic-126	24	33	this	this	DET
hjic-126	24	34	process	process	NOUN
hjic-126	24	35	.	.	PUNCT
hjic-126	25	1	data	datum	NOUN
hjic-126	25	2	mining	mining	NOUN
hjic-126	25	3	is	be	AUX
hjic-126	25	4	the	the	DET
hjic-126	25	5	application	application	NOUN
hjic-126	25	6	of	of	ADP
hjic-126	25	7	specific	specific	ADJ
hjic-126	25	8	algorithms	algorithm	NOUN
hjic-126	25	9	for	for	ADP
hjic-126	25	10	extracting	extract	VERB
hjic-126	25	11	patterns	pattern	NOUN
hjic-126	25	12	from	from	ADP
hjic-126	25	13	data	datum	NOUN
hjic-126	25	14	.	.	PUNCT
hjic-126	26	1	the	the	DET
hjic-126	26	2	additional	additional	ADJ
hjic-126	26	3	steps	step	NOUN
hjic-126	26	4	in	in	ADP
hjic-126	26	5	the	the	DET
hjic-126	26	6	kdd	kdd	PROPN
hjic-126	26	7	process	process	NOUN
hjic-126	26	8	,	,	PUNCT
hjic-126	26	9	such	such	ADJ
hjic-126	26	10	as	as	ADP
hjic-126	26	11	data	data	NOUN
hjic-126	26	12	selection	selection	NOUN
hjic-126	26	13	,	,	PUNCT
hjic-126	26	14	data	datum	NOUN
hjic-126	26	15	cleaning	cleaning	NOUN
hjic-126	26	16	,	,	PUNCT
hjic-126	26	17	incorporating	incorporate	VERB
hjic-126	26	18	appropriate	appropriate	ADJ
hjic-126	26	19	prior	prior	ADJ
hjic-126	26	20	knowledge	knowledge	NOUN
hjic-126	26	21	,	,	PUNCT
hjic-126	26	22	and	and	CCONJ
hjic-126	26	23	proper	proper	ADJ
hjic-126	26	24	interpretation	interpretation	NOUN
hjic-126	26	25	of	of	ADP
hjic-126	26	26	the	the	DET
hjic-126	26	27	results	result	NOUN
hjic-126	26	28	are	be	AUX
hjic-126	26	29	essential	essential	ADJ
hjic-126	26	30	to	to	PART
hjic-126	26	31	ensure	ensure	VERB
hjic-126	26	32	that	that	SCONJ
hjic-126	26	33	useful	useful	ADJ
hjic-126	26	34	knowledge	knowledge	NOUN
hjic-126	26	35	is	be	AUX
hjic-126	26	36	derived	derive	VERB
hjic-126	26	37	form	form	NOUN
hjic-126	26	38	the	the	DET
hjic-126	26	39	data	datum	NOUN
hjic-126	26	40	[	[	X
hjic-126	26	41	2	2	NUM
hjic-126	26	42	]	]	PUNCT
hjic-126	26	43	.	.	PUNCT
hjic-126	27	1	soft	soft	ADJ
hjic-126	27	2	computing	computing	NOUN
hjic-126	27	3	techniques	technique	NOUN
hjic-126	27	4	are	be	AUX
hjic-126	27	5	one	one	NUM
hjic-126	27	6	of	of	ADP
hjic-126	27	7	the	the	DET
hjic-126	27	8	cornerstones	cornerstone	NOUN
hjic-126	27	9	of	of	ADP
hjic-126	27	10	the	the	DET
hjic-126	27	11	kdd	kdd	PROPN
hjic-126	27	12	process	process	NOUN
hjic-126	27	13	.	.	PUNCT
hjic-126	28	1	this	this	DET
hjic-126	28	2	paper	paper	NOUN
hjic-126	28	3	gives	give	VERB
hjic-126	28	4	a	a	DET
hjic-126	28	5	method	method	NOUN
hjic-126	28	6	how	how	SCONJ
hjic-126	28	7	the	the	DET
hjic-126	28	8	techniques	technique	NOUN
hjic-126	28	9	of	of	ADP
hjic-126	28	10	soft	soft	ADJ
hjic-126	28	11	computing	computing	NOUN
hjic-126	28	12	can	can	AUX
hjic-126	28	13	be	be	AUX
hjic-126	28	14	combined	combine	VERB
hjic-126	28	15	to	to	PART
hjic-126	28	16	get	get	VERB
hjic-126	28	17	interpretable	interpretable	ADJ
hjic-126	28	18	and	and	CCONJ
hjic-126	28	19	robust	robust	ADJ
hjic-126	28	20	models	model	NOUN
hjic-126	28	21	for	for	ADP
hjic-126	28	22	the	the	DET
hjic-126	28	23	kdd	kdd	PROPN
hjic-126	28	24	process	process	NOUN
hjic-126	28	25	.	.	PUNCT
hjic-126	29	1	the	the	DET
hjic-126	29	2	meaning	meaning	NOUN
hjic-126	29	3	of	of	ADP
hjic-126	29	4	soft	soft	ADJ
hjic-126	29	5	computing	computing	NOUN
hjic-126	29	6	was	be	AUX
hjic-126	29	7	originally	originally	ADV
hjic-126	29	8	tailored	tailor	VERB
hjic-126	29	9	in	in	ADP
hjic-126	29	10	the	the	DET
hjic-126	29	11	early	early	ADJ
hjic-126	29	12	1990s	1990s	NUM
hjic-126	29	13	by	by	ADP
hjic-126	29	14	dr	dr	PROPN
hjic-126	29	15	.	.	PROPN
hjic-126	29	16	zadeh	zadeh	PROPN
hjic-126	30	1	[	[	X
hjic-126	30	2	3	3	NUM
hjic-126	30	3	]	]	PUNCT
hjic-126	30	4	.	.	PUNCT
hjic-126	31	1	soft	soft	ADJ
hjic-126	31	2	computing	computing	NOUN
hjic-126	31	3	refers	refer	VERB
hjic-126	31	4	to	to	ADP
hjic-126	31	5	a	a	DET
hjic-126	31	6	collection	collection	NOUN
hjic-126	31	7	of	of	ADP
hjic-126	31	8	computational	computational	ADJ
hjic-126	31	9	techniques	technique	NOUN
hjic-126	31	10	in	in	ADP
hjic-126	31	11	computer	computer	NOUN
hjic-126	31	12	science	science	NOUN
hjic-126	31	13	,	,	PUNCT
hjic-126	31	14	artificial	artificial	ADJ
hjic-126	31	15	intelligence	intelligence	NOUN
hjic-126	31	16	,	,	PUNCT
hjic-126	31	17	machine	machine	NOUN
hjic-126	31	18	learning	learning	NOUN
hjic-126	31	19	and	and	CCONJ
hjic-126	31	20	some	some	DET
hjic-126	31	21	engineering	engineering	NOUN
hjic-126	31	22	disciplines	discipline	NOUN
hjic-126	31	23	,	,	PUNCT
hjic-126	31	24	to	to	PART
hjic-126	31	25	solve	solve	VERB
hjic-126	31	26	two	two	NUM
hjic-126	31	27	cardinal	cardinal	ADJ
hjic-126	31	28	problems	problem	NOUN
hjic-126	31	29	:	:	PUNCT
hjic-126	31	30	●	●	PUNCT
hjic-126	31	31	learning	learn	VERB
hjic-126	31	32	from	from	ADP
hjic-126	31	33	experimental	experimental	ADJ
hjic-126	31	34	data	datum	NOUN
hjic-126	31	35	(	(	PUNCT
hjic-126	31	36	examples	example	NOUN
hjic-126	31	37	,	,	PUNCT
hjic-126	31	38	samples	sample	NOUN
hjic-126	31	39	,	,	PUNCT
hjic-126	31	40	measurements	measurement	NOUN
hjic-126	31	41	,	,	PUNCT
hjic-126	31	42	records	record	NOUN
hjic-126	31	43	,	,	PUNCT
hjic-126	31	44	patterns	pattern	NOUN
hjic-126	31	45	)	)	PUNCT
hjic-126	31	46	by	by	ADP
hjic-126	31	47	102	102	NUM
hjic-126	31	48	neural	neural	ADJ
hjic-126	31	49	networks	network	NOUN
hjic-126	31	50	and	and	CCONJ
hjic-126	31	51	support	support	NOUN
hjic-126	31	52	vector	vector	NOUN
hjic-126	31	53	based	base	VERB
hjic-126	31	54	techniques	technique	NOUN
hjic-126	31	55	●	●	PUNCT
hjic-126	31	56	embedding	embed	VERB
hjic-126	31	57	existing	exist	VERB
hjic-126	31	58	structured	structured	ADJ
hjic-126	31	59	human	human	ADJ
hjic-126	31	60	knowledge	knowledge	NOUN
hjic-126	31	61	(	(	PUNCT
hjic-126	31	62	experience	experience	NOUN
hjic-126	31	63	,	,	PUNCT
hjic-126	31	64	expertise	expertise	NOUN
hjic-126	31	65	,	,	PUNCT
hjic-126	31	66	heuristic	heuristic	NOUN
hjic-126	31	67	)	)	PUNCT
hjic-126	31	68	into	into	ADP
hjic-126	31	69	fuzzy	fuzzy	ADJ
hjic-126	31	70	models	model	NOUN
hjic-126	31	71	[	[	X
hjic-126	31	72	2	2	X
hjic-126	31	73	]	]	PUNCT
hjic-126	31	74	these	these	DET
hjic-126	31	75	approaches	approach	NOUN
hjic-126	31	76	attempt	attempt	VERB
hjic-126	31	77	to	to	PART
hjic-126	31	78	study	study	VERB
hjic-126	31	79	,	,	PUNCT
hjic-126	31	80	model	model	NOUN
hjic-126	31	81	,	,	PUNCT
hjic-126	31	82	and	and	CCONJ
hjic-126	31	83	analyze	analyze	VERB
hjic-126	31	84	very	very	ADV
hjic-126	31	85	complex	complex	ADJ
hjic-126	31	86	phenomena	phenomenon	NOUN
hjic-126	31	87	:	:	PUNCT
hjic-126	31	88	those	those	PRON
hjic-126	31	89	for	for	ADP
hjic-126	31	90	which	which	PRON
hjic-126	31	91	more	more	ADV
hjic-126	31	92	conventional	conventional	ADJ
hjic-126	31	93	methods	method	NOUN
hjic-126	31	94	have	have	AUX
hjic-126	31	95	not	not	PART
hjic-126	31	96	yielded	yield	VERB
hjic-126	31	97	low	low	ADJ
hjic-126	31	98	cost	cost	NOUN
hjic-126	31	99	,	,	PUNCT
hjic-126	31	100	analytic	analytic	ADJ
hjic-126	31	101	,	,	PUNCT
hjic-126	31	102	and	and	CCONJ
hjic-126	31	103	complete	complete	ADJ
hjic-126	31	104	solutions	solution	NOUN
hjic-126	31	105	.	.	PUNCT
hjic-126	32	1	earlier	early	ADV
hjic-126	32	2	computational	computational	ADJ
hjic-126	32	3	approaches	approach	NOUN
hjic-126	32	4	(	(	PUNCT
hjic-126	32	5	hard	hard	ADJ
hjic-126	32	6	computing	computing	NOUN
hjic-126	32	7	)	)	PUNCT
hjic-126	32	8	could	could	AUX
hjic-126	32	9	model	model	VERB
hjic-126	32	10	and	and	CCONJ
hjic-126	32	11	precisely	precisely	ADV
hjic-126	32	12	analyze	analyze	VERB
hjic-126	32	13	only	only	ADV
hjic-126	32	14	relatively	relatively	ADV
hjic-126	32	15	simple	simple	ADJ
hjic-126	32	16	systems	system	NOUN
hjic-126	32	17	.	.	PUNCT
hjic-126	33	1	as	as	SCONJ
hjic-126	33	2	more	more	ADJ
hjic-126	33	3	complex	complex	ADJ
hjic-126	33	4	systems	system	NOUN
hjic-126	33	5	arising	arise	VERB
hjic-126	33	6	in	in	ADP
hjic-126	33	7	biology	biology	NOUN
hjic-126	33	8	,	,	PUNCT
hjic-126	33	9	medicine	medicine	NOUN
hjic-126	33	10	,	,	PUNCT
hjic-126	33	11	the	the	DET
hjic-126	33	12	humanities	humanity	NOUN
hjic-126	33	13	,	,	PUNCT
hjic-126	33	14	management	management	NOUN
hjic-126	33	15	sciences	science	NOUN
hjic-126	33	16	,	,	PUNCT
hjic-126	33	17	and	and	CCONJ
hjic-126	33	18	similar	similar	ADJ
hjic-126	33	19	fields	field	NOUN
hjic-126	33	20	often	often	ADV
hjic-126	33	21	remained	remain	VERB
hjic-126	33	22	intractable	intractable	ADJ
hjic-126	33	23	to	to	ADP
hjic-126	33	24	conventional	conventional	ADJ
hjic-126	33	25	mathematical	mathematical	ADJ
hjic-126	33	26	and	and	CCONJ
hjic-126	33	27	analytical	analytical	ADJ
hjic-126	33	28	methods	method	NOUN
hjic-126	33	29	.	.	PUNCT
hjic-126	34	1	where	where	SCONJ
hjic-126	34	2	the	the	DET
hjic-126	34	3	hard	hard	ADJ
hjic-126	34	4	computing	compute	VERB
hjic-126	34	5	schemes	scheme	NOUN
hjic-126	34	6	,	,	PUNCT
hjic-126	34	7	which	which	PRON
hjic-126	34	8	strive	strive	VERB
hjic-126	34	9	for	for	ADP
hjic-126	34	10	exactness	exactness	NOUN
hjic-126	34	11	and	and	CCONJ
hjic-126	34	12	full	full	ADJ
hjic-126	34	13	truth	truth	NOUN
hjic-126	34	14	,	,	PUNCT
hjic-126	34	15	fail	fail	VERB
hjic-126	34	16	to	to	PART
hjic-126	34	17	render	render	VERB
hjic-126	34	18	the	the	DET
hjic-126	34	19	problem	problem	NOUN
hjic-126	34	20	,	,	PUNCT
hjic-126	34	21	soft	soft	ADJ
hjic-126	34	22	computing	computing	NOUN
hjic-126	34	23	techniques	technique	NOUN
hjic-126	34	24	exploit	exploit	VERB
hjic-126	34	25	the	the	DET
hjic-126	34	26	given	give	VERB
hjic-126	34	27	tolerance	tolerance	NOUN
hjic-126	34	28	of	of	ADP
hjic-126	34	29	imprecision	imprecision	NOUN
hjic-126	34	30	,	,	PUNCT
hjic-126	34	31	partial	partial	ADJ
hjic-126	34	32	truth	truth	NOUN
hjic-126	34	33	,	,	PUNCT
hjic-126	34	34	and	and	CCONJ
hjic-126	34	35	uncertainty	uncertainty	NOUN
hjic-126	34	36	is	be	AUX
hjic-126	34	37	inherent	inherent	ADJ
hjic-126	34	38	in	in	ADP
hjic-126	34	39	human	human	ADJ
hjic-126	34	40	thinking	thinking	NOUN
hjic-126	34	41	and	and	CCONJ
hjic-126	34	42	in	in	ADP
hjic-126	34	43	real	real	ADJ
hjic-126	34	44	life	life	NOUN
hjic-126	34	45	problems	problem	NOUN
hjic-126	34	46	,	,	PUNCT
hjic-126	34	47	to	to	PART
hjic-126	34	48	deliver	deliver	VERB
hjic-126	34	49	robust	robust	ADJ
hjic-126	34	50	,	,	PUNCT
hjic-126	34	51	efficient	efficient	ADJ
hjic-126	34	52	and	and	CCONJ
hjic-126	34	53	optimal	optimal	ADJ
hjic-126	34	54	solutions	solution	NOUN
hjic-126	34	55	and	and	CCONJ
hjic-126	34	56	to	to	PART
hjic-126	34	57	further	far	ADV
hjic-126	34	58	explore	explore	VERB
hjic-126	34	59	and	and	CCONJ
hjic-126	34	60	capture	capture	VERB
hjic-126	34	61	the	the	DET
hjic-126	34	62	available	available	ADJ
hjic-126	34	63	design	design	NOUN
hjic-126	34	64	knowledge	knowledge	NOUN
hjic-126	34	65	.	.	PUNCT
hjic-126	35	1	generally	generally	ADV
hjic-126	35	2	speaking	speak	VERB
hjic-126	35	3	,	,	PUNCT
hjic-126	35	4	soft	soft	ADJ
hjic-126	35	5	computing	computing	NOUN
hjic-126	35	6	techniques	technique	NOUN
hjic-126	35	7	resemble	resemble	VERB
hjic-126	35	8	biological	biological	ADJ
hjic-126	35	9	processes	process	NOUN
hjic-126	35	10	more	more	ADV
hjic-126	35	11	closely	closely	ADV
hjic-126	35	12	than	than	ADP
hjic-126	35	13	traditional	traditional	ADJ
hjic-126	35	14	techniques	technique	NOUN
hjic-126	35	15	,	,	PUNCT
hjic-126	35	16	which	which	PRON
hjic-126	35	17	are	be	AUX
hjic-126	35	18	largely	largely	ADV
hjic-126	35	19	based	base	VERB
hjic-126	35	20	on	on	ADP
hjic-126	35	21	formal	formal	ADJ
hjic-126	35	22	logical	logical	ADJ
hjic-126	35	23	systems	system	NOUN
hjic-126	35	24	,	,	PUNCT
hjic-126	35	25	such	such	ADJ
hjic-126	35	26	as	as	ADP
hjic-126	35	27	sentential	sentential	ADJ
hjic-126	35	28	logic	logic	NOUN
hjic-126	35	29	and	and	CCONJ
hjic-126	35	30	predicate	predicate	NOUN
hjic-126	35	31	logic	logic	NOUN
hjic-126	35	32	,	,	PUNCT
hjic-126	35	33	or	or	CCONJ
hjic-126	35	34	rely	rely	VERB
hjic-126	35	35	heavily	heavily	ADV
hjic-126	35	36	on	on	ADP
hjic-126	35	37	computer	computer	NOUN
hjic-126	35	38	-	-	PUNCT
hjic-126	35	39	aided	aid	VERB
hjic-126	35	40	numerical	numerical	ADJ
hjic-126	35	41	analysis	analysis	NOUN
hjic-126	35	42	.	.	PUNCT
hjic-126	36	1	support	support	NOUN
hjic-126	36	2	vector	vector	NOUN
hjic-126	36	3	based	base	VERB
hjic-126	36	4	models	model	NOUN
hjic-126	36	5	and	and	CCONJ
hjic-126	36	6	neural	neural	ADJ
hjic-126	36	7	networks	network	NOUN
hjic-126	36	8	are	be	AUX
hjic-126	36	9	one	one	NUM
hjic-126	36	10	of	of	ADP
hjic-126	36	11	the	the	DET
hjic-126	36	12	most	most	ADV
hjic-126	36	13	commonly	commonly	ADV
hjic-126	36	14	used	use	VERB
hjic-126	36	15	soft	soft	ADJ
hjic-126	36	16	computing	computing	NOUN
hjic-126	36	17	techniques	technique	NOUN
hjic-126	36	18	.	.	PUNCT
hjic-126	37	1	however	however	ADV
hjic-126	37	2	it	it	PRON
hjic-126	37	3	should	should	AUX
hjic-126	37	4	be	be	AUX
hjic-126	37	5	pointed	point	VERB
hjic-126	37	6	out	out	ADP
hjic-126	37	7	that	that	SCONJ
hjic-126	37	8	simplicity	simplicity	NOUN
hjic-126	37	9	and	and	CCONJ
hjic-126	37	10	complexity	complexity	NOUN
hjic-126	37	11	of	of	ADP
hjic-126	37	12	these	these	DET
hjic-126	37	13	systems	system	NOUN
hjic-126	37	14	is	be	AUX
hjic-126	37	15	a	a	DET
hjic-126	37	16	challenging	challenging	ADJ
hjic-126	37	17	task	task	NOUN
hjic-126	37	18	to	to	PART
hjic-126	37	19	perform	perform	VERB
hjic-126	37	20	.	.	PUNCT
hjic-126	38	1	neural	neural	ADJ
hjic-126	38	2	networks	network	NOUN
hjic-126	38	3	,	,	PUNCT
hjic-126	38	4	support	support	NOUN
hjic-126	38	5	vector	vector	NOUN
hjic-126	38	6	machines	machine	NOUN
hjic-126	38	7	are	be	AUX
hjic-126	38	8	universal	universal	ADJ
hjic-126	38	9	approximators	approximator	NOUN
hjic-126	38	10	of	of	ADP
hjic-126	38	11	any	any	DET
hjic-126	38	12	multivariate	multivariate	NOUN
hjic-126	38	13	function	function	NOUN
hjic-126	38	14	;	;	PUNCT
hjic-126	38	15	they	they	PRON
hjic-126	38	16	are	be	AUX
hjic-126	38	17	widely	widely	ADV
hjic-126	38	18	-	-	PUNCT
hjic-126	38	19	used	use	VERB
hjic-126	38	20	to	to	PART
hjic-126	38	21	model	model	VERB
hjic-126	38	22	highly	highly	ADV
hjic-126	38	23	nonlinear	nonlinear	ADJ
hjic-126	38	24	,	,	PUNCT
hjic-126	38	25	unknown	unknown	ADJ
hjic-126	38	26	or	or	CCONJ
hjic-126	38	27	partially	partially	ADV
hjic-126	38	28	known	know	VERB
hjic-126	38	29	complex	complex	ADJ
hjic-126	38	30	systems	system	NOUN
hjic-126	38	31	plants	plant	NOUN
hjic-126	38	32	or	or	CCONJ
hjic-126	38	33	processes	process	NOUN
hjic-126	38	34	.	.	PUNCT
hjic-126	39	1	the	the	DET
hjic-126	39	2	identification	identification	NOUN
hjic-126	39	3	of	of	ADP
hjic-126	39	4	the	the	DET
hjic-126	39	5	proper	proper	ADJ
hjic-126	39	6	structure	structure	NOUN
hjic-126	39	7	of	of	ADP
hjic-126	39	8	nonlinear	nonlinear	ADJ
hjic-126	39	9	neural	neural	ADJ
hjic-126	39	10	networks	network	NOUN
hjic-126	39	11	(	(	PUNCT
hjic-126	39	12	nns	nn	NOUN
hjic-126	39	13	)	)	PUNCT
hjic-126	39	14	and	and	CCONJ
hjic-126	39	15	support	support	VERB
hjic-126	39	16	vector	vector	NOUN
hjic-126	39	17	based	base	VERB
hjic-126	39	18	techniques	technique	NOUN
hjic-126	39	19	(	(	PUNCT
hjic-126	39	20	svm	svm	PROPN
hjic-126	39	21	,	,	PUNCT
hjic-126	39	22	svr	svr	PROPN
hjic-126	39	23	)	)	PUNCT
hjic-126	39	24	is	be	AUX
hjic-126	39	25	a	a	DET
hjic-126	39	26	challenging	challenging	ADJ
hjic-126	39	27	task	task	NOUN
hjic-126	39	28	,	,	PUNCT
hjic-126	39	29	since	since	SCONJ
hjic-126	39	30	these	these	DET
hjic-126	39	31	black	black	ADJ
hjic-126	39	32	-	-	PUNCT
hjic-126	39	33	box	box	NOUN
hjic-126	39	34	models	model	NOUN
hjic-126	39	35	are	be	AUX
hjic-126	39	36	too	too	ADV
hjic-126	39	37	complex	complex	ADJ
hjic-126	39	38	and	and	CCONJ
hjic-126	39	39	not	not	PART
hjic-126	39	40	interpretable	interpretable	ADJ
hjic-126	39	41	.	.	PUNCT
hjic-126	40	1	complexity	complexity	NOUN
hjic-126	40	2	and	and	CCONJ
hjic-126	40	3	interpretability	interpretability	NOUN
hjic-126	40	4	issues	issue	NOUN
hjic-126	40	5	are	be	AUX
hjic-126	40	6	connected	connect	VERB
hjic-126	40	7	with	with	ADP
hjic-126	40	8	each	each	DET
hjic-126	40	9	other	other	ADJ
hjic-126	40	10	:	:	PUNCT
hjic-126	40	11	achieve	achieve	VERB
hjic-126	40	12	the	the	DET
hjic-126	40	13	less	less	ADV
hjic-126	40	14	complex	complex	ADJ
hjic-126	40	15	more	more	ADV
hjic-126	40	16	interpretable	interpretable	ADJ
hjic-126	40	17	model	model	NOUN
hjic-126	40	18	with	with	ADP
hjic-126	40	19	the	the	DET
hjic-126	40	20	best	good	ADJ
hjic-126	40	21	accuracy	accuracy	NOUN
hjic-126	40	22	.	.	PUNCT
hjic-126	41	1	other	other	ADJ
hjic-126	41	2	problem	problem	NOUN
hjic-126	41	3	is	be	AUX
hjic-126	41	4	how	how	SCONJ
hjic-126	41	5	a	a	DET
hjic-126	41	6	priori	priori	ADJ
hjic-126	41	7	knowledge	knowledge	NOUN
hjic-126	41	8	can	can	AUX
hjic-126	41	9	be	be	AUX
hjic-126	41	10	utilized	utilize	VERB
hjic-126	41	11	and	and	CCONJ
hjic-126	41	12	integrated	integrate	VERB
hjic-126	41	13	into	into	ADP
hjic-126	41	14	the	the	DET
hjic-126	41	15	black	black	ADJ
hjic-126	41	16	box	box	PROPN
hjic-126	41	17	modelling	modelling	NOUN
hjic-126	41	18	approach	approach	NOUN
hjic-126	41	19	,	,	PUNCT
hjic-126	41	20	and	and	CCONJ
hjic-126	41	21	how	how	SCONJ
hjic-126	41	22	a	a	DET
hjic-126	41	23	human	human	ADJ
hjic-126	41	24	expert	expert	NOUN
hjic-126	41	25	can	can	AUX
hjic-126	41	26	validate	validate	VERB
hjic-126	41	27	the	the	DET
hjic-126	41	28	identified	identify	VERB
hjic-126	41	29	black	black	ADJ
hjic-126	41	30	box	box	NOUN
hjic-126	41	31	model	model	NOUN
hjic-126	41	32	or	or	CCONJ
hjic-126	41	33	more	more	ADV
hjic-126	41	34	favourably	favourably	ADV
hjic-126	41	35	,	,	PUNCT
hjic-126	41	36	follow	follow	VERB
hjic-126	41	37	the	the	DET
hjic-126	41	38	identification	identification	NOUN
hjic-126	41	39	process	process	NOUN
hjic-126	41	40	to	to	PART
hjic-126	41	41	interfere	interfere	VERB
hjic-126	41	42	in	in	ADP
hjic-126	41	43	it	it	PRON
hjic-126	41	44	if	if	SCONJ
hjic-126	41	45	it	it	PRON
hjic-126	41	46	is	be	AUX
hjic-126	41	47	needed	need	VERB
hjic-126	41	48	(	(	PUNCT
hjic-126	41	49	e.g.	e.g.	ADV
hjic-126	41	50	to	to	PART
hjic-126	41	51	avoid	avoid	VERB
hjic-126	41	52	over	over	ADP
hjic-126	41	53	parameterization	parameterization	NOUN
hjic-126	41	54	)	)	PUNCT
hjic-126	41	55	neural	neural	ADJ
hjic-126	41	56	networks	network	NOUN
hjic-126	41	57	and	and	CCONJ
hjic-126	41	58	support	support	NOUN
hjic-126	41	59	vector	vector	NOUN
hjic-126	41	60	machines	machine	NOUN
hjic-126	41	61	are	be	AUX
hjic-126	41	62	strong	strong	ADJ
hjic-126	41	63	in	in	ADP
hjic-126	41	64	feature	feature	NOUN
hjic-126	41	65	selection	selection	NOUN
hjic-126	41	66	and	and	CCONJ
hjic-126	41	67	to	to	PART
hjic-126	41	68	achieve	achieve	VERB
hjic-126	41	69	robust	robust	ADJ
hjic-126	41	70	models	model	NOUN
hjic-126	41	71	and	and	CCONJ
hjic-126	41	72	fuzzy	fuzzy	ADJ
hjic-126	41	73	logic	logic	NOUN
hjic-126	41	74	helps	help	VERB
hjic-126	41	75	to	to	PART
hjic-126	41	76	improve	improve	VERB
hjic-126	41	77	the	the	DET
hjic-126	41	78	interpretability	interpretability	NOUN
hjic-126	41	79	of	of	ADP
hjic-126	41	80	models	model	NOUN
hjic-126	41	81	.	.	PUNCT
hjic-126	42	1	with	with	ADP
hjic-126	42	2	the	the	DET
hjic-126	42	3	combination	combination	NOUN
hjic-126	42	4	of	of	ADP
hjic-126	42	5	these	these	DET
hjic-126	42	6	techniques	technique	NOUN
hjic-126	42	7	accurate	accurate	ADJ
hjic-126	42	8	,	,	PUNCT
hjic-126	42	9	but	but	CCONJ
hjic-126	42	10	interpretable	interpretable	ADJ
hjic-126	42	11	models	model	NOUN
hjic-126	42	12	can	can	AUX
hjic-126	42	13	be	be	AUX
hjic-126	42	14	achieved	achieve	VERB
hjic-126	42	15	.	.	PUNCT
hjic-126	43	1	this	this	DET
hjic-126	43	2	paper	paper	NOUN
hjic-126	43	3	describes	describe	VERB
hjic-126	43	4	a	a	DET
hjic-126	43	5	three	three	NUM
hjic-126	43	6	-	-	PUNCT
hjic-126	43	7	step	step	NOUN
hjic-126	43	8	technique	technique	NOUN
hjic-126	43	9	how	how	SCONJ
hjic-126	43	10	to	to	PART
hjic-126	43	11	use	use	VERB
hjic-126	43	12	reduction	reduction	NOUN
hjic-126	43	13	techniques	technique	NOUN
hjic-126	43	14	on	on	ADP
hjic-126	43	15	trained	train	VERB
hjic-126	43	16	svm	svm	NOUN
hjic-126	43	17	and	and	CCONJ
hjic-126	43	18	svr	svr	PROPN
hjic-126	43	19	models	model	NOUN
hjic-126	43	20	to	to	PART
hjic-126	43	21	acquire	acquire	VERB
hjic-126	43	22	transparent	transparent	ADJ
hjic-126	43	23	,	,	PUNCT
hjic-126	43	24	but	but	CCONJ
hjic-126	43	25	accurate	accurate	ADJ
hjic-126	43	26	fuzzy	fuzzy	ADJ
hjic-126	43	27	rule	rule	NOUN
hjic-126	43	28	based	base	VERB
hjic-126	43	29	classifier	classifier	NOUN
hjic-126	43	30	and	and	CCONJ
hjic-126	43	31	fuzzy	fuzzy	ADJ
hjic-126	43	32	regression	regression	NOUN
hjic-126	43	33	models	model	NOUN
hjic-126	43	34	.	.	PUNCT
hjic-126	44	1	the	the	DET
hjic-126	44	2	steps	step	NOUN
hjic-126	44	3	are	be	AUX
hjic-126	44	4	the	the	DET
hjic-126	44	5	following	follow	VERB
hjic-126	44	6	:	:	PUNCT
hjic-126	44	7	step	step	NOUN
hjic-126	44	8	1	1	NUM
hjic-126	44	9	.	.	PUNCT
hjic-126	45	1	reduced	reduce	VERB
hjic-126	45	2	set	set	NOUN
hjic-126	45	3	method	method	NOUN
hjic-126	45	4	the	the	DET
hjic-126	45	5	identification	identification	NOUN
hjic-126	45	6	of	of	ADP
hjic-126	45	7	the	the	DET
hjic-126	45	8	svm	svm	PROPN
hjic-126	45	9	/	/	SYM
hjic-126	45	10	svr	svr	PROPN
hjic-126	45	11	model	model	NOUN
hjic-126	45	12	is	be	AUX
hjic-126	45	13	followed	follow	VERB
hjic-126	45	14	by	by	ADP
hjic-126	45	15	the	the	DET
hjic-126	45	16	application	application	NOUN
hjic-126	45	17	of	of	ADP
hjic-126	45	18	the	the	DET
hjic-126	45	19	reduced	reduce	VERB
hjic-126	45	20	set	set	NOUN
hjic-126	45	21	(	(	PUNCT
hjic-126	45	22	rs	rs	NOUN
hjic-126	45	23	)	)	PUNCT
hjic-126	45	24	method	method	NOUN
hjic-126	45	25	to	to	PART
hjic-126	45	26	decrease	decrease	VERB
hjic-126	45	27	the	the	DET
hjic-126	45	28	number	number	NOUN
hjic-126	45	29	of	of	ADP
hjic-126	45	30	kernel	kernel	PROPN
hjic-126	45	31	functions	function	NOUN
hjic-126	45	32	.	.	PUNCT
hjic-126	46	1	originally	originally	ADV
hjic-126	46	2	,	,	PUNCT
hjic-126	46	3	this	this	DET
hjic-126	46	4	method	method	NOUN
hjic-126	46	5	has	have	AUX
hjic-126	46	6	been	be	AUX
hjic-126	46	7	introduced	introduce	VERB
hjic-126	46	8	by	by	ADP
hjic-126	46	9	[	[	X
hjic-126	46	10	4	4	X
hjic-126	46	11	]	]	PUNCT
hjic-126	46	12	to	to	PART
hjic-126	46	13	reduce	reduce	VERB
hjic-126	46	14	the	the	DET
hjic-126	46	15	computational	computational	ADJ
hjic-126	46	16	complexity	complexity	NOUN
hjic-126	46	17	of	of	ADP
hjic-126	46	18	sv	sv	PROPN
hjic-126	46	19	models	model	NOUN
hjic-126	46	20	.	.	PUNCT
hjic-126	47	1	step	step	NOUN
hjic-126	47	2	2	2	NUM
hjic-126	47	3	.	.	PUNCT
hjic-126	48	1	similarity	similarity	NOUN
hjic-126	48	2	-	-	PUNCT
hjic-126	48	3	based	base	VERB
hjic-126	48	4	fuzzy	fuzzy	ADJ
hjic-126	48	5	set	set	NOUN
hjic-126	48	6	merging	merge	VERB
hjic-126	48	7	the	the	DET
hjic-126	48	8	gaussian	gaussian	ADJ
hjic-126	48	9	membership	membership	NOUN
hjic-126	48	10	functions	function	NOUN
hjic-126	48	11	of	of	ADP
hjic-126	48	12	the	the	DET
hjic-126	48	13	fuzzy	fuzzy	ADJ
hjic-126	48	14	rulebased	rulebase	VERB
hjic-126	48	15	models	model	NOUN
hjic-126	48	16	are	be	AUX
hjic-126	48	17	derived	derive	VERB
hjic-126	48	18	from	from	ADP
hjic-126	48	19	the	the	DET
hjic-126	48	20	gaussian	gaussian	ADJ
hjic-126	48	21	kernel	kernel	PROPN
hjic-126	48	22	functions	function	NOUN
hjic-126	48	23	of	of	ADP
hjic-126	48	24	the	the	DET
hjic-126	48	25	sv	sv	PROPN
hjic-126	48	26	models	model	NOUN
hjic-126	48	27	.	.	PUNCT
hjic-126	49	1	the	the	DET
hjic-126	49	2	interpretability	interpretability	NOUN
hjic-126	49	3	of	of	ADP
hjic-126	49	4	a	a	DET
hjic-126	49	5	fuzzy	fuzzy	ADJ
hjic-126	49	6	model	model	NOUN
hjic-126	49	7	highly	highly	ADV
hjic-126	49	8	depends	depend	VERB
hjic-126	49	9	on	on	ADP
hjic-126	49	10	the	the	DET
hjic-126	49	11	distribution	distribution	NOUN
hjic-126	49	12	of	of	ADP
hjic-126	49	13	the	the	DET
hjic-126	49	14	membership	membership	NOUN
hjic-126	49	15	functions	function	NOUN
hjic-126	49	16	.	.	PUNCT
hjic-126	50	1	hence	hence	ADV
hjic-126	50	2	,	,	PUNCT
hjic-126	50	3	the	the	DET
hjic-126	50	4	next	next	ADJ
hjic-126	50	5	reduction	reduction	NOUN
hjic-126	50	6	step	step	NOUN
hjic-126	50	7	is	be	AUX
hjic-126	50	8	achieved	achieve	VERB
hjic-126	50	9	by	by	ADP
hjic-126	50	10	merging	merge	VERB
hjic-126	50	11	fuzzy	fuzzy	ADJ
hjic-126	50	12	sets	set	NOUN
hjic-126	50	13	based	base	VERB
hjic-126	50	14	on	on	ADP
hjic-126	50	15	a	a	DET
hjic-126	50	16	similarity	similarity	NOUN
hjic-126	50	17	measure	measure	NOUN
hjic-126	50	18	.	.	PUNCT
hjic-126	51	1	[	[	X
hjic-126	51	2	5	5	X
hjic-126	51	3	]	]	X
hjic-126	51	4	step3	step3	PROPN
hjic-126	51	5	.	.	PUNCT
hjic-126	52	1	rule	rule	NOUN
hjic-126	52	2	-	-	PUNCT
hjic-126	52	3	base	base	NOUN
hjic-126	52	4	simplification	simplification	NOUN
hjic-126	52	5	by	by	ADP
hjic-126	52	6	orthogonal	orthogonal	ADJ
hjic-126	52	7	transformations	transformation	NOUN
hjic-126	52	8	finally	finally	ADV
hjic-126	53	1	,	,	PUNCT
hjic-126	53	2	an	an	DET
hjic-126	53	3	orthogonal	orthogonal	ADJ
hjic-126	53	4	least	least	ADJ
hjic-126	53	5	-	-	PUNCT
hjic-126	53	6	squares	square	NOUN
hjic-126	53	7	method	method	NOUN
hjic-126	53	8	is	be	AUX
hjic-126	53	9	used	use	VERB
hjic-126	53	10	to	to	PART
hjic-126	53	11	reduce	reduce	VERB
hjic-126	53	12	the	the	DET
hjic-126	53	13	number	number	NOUN
hjic-126	53	14	of	of	ADP
hjic-126	53	15	rules	rule	NOUN
hjic-126	53	16	and	and	CCONJ
hjic-126	53	17	re	re	VERB
hjic-126	53	18	-	-	NOUN
hjic-126	53	19	estimate	estimate	VERB
hjic-126	53	20	the	the	DET
hjic-126	53	21	consequent	consequent	ADJ
hjic-126	53	22	parameters	parameter	NOUN
hjic-126	53	23	of	of	ADP
hjic-126	53	24	the	the	DET
hjic-126	53	25	classifier	classifier	NOUN
hjic-126	53	26	.	.	PUNCT
hjic-126	54	1	the	the	DET
hjic-126	54	2	application	application	NOUN
hjic-126	54	3	of	of	ADP
hjic-126	54	4	orthogonal	orthogonal	ADJ
hjic-126	54	5	transforms	transform	VERB
hjic-126	54	6	for	for	ADP
hjic-126	54	7	reducing	reduce	VERB
hjic-126	54	8	the	the	DET
hjic-126	54	9	number	number	NOUN
hjic-126	54	10	of	of	ADP
hjic-126	54	11	rules	rule	NOUN
hjic-126	54	12	has	have	AUX
hjic-126	54	13	received	receive	VERB
hjic-126	54	14	much	much	ADJ
hjic-126	54	15	attention	attention	NOUN
hjic-126	54	16	in	in	ADP
hjic-126	54	17	the	the	DET
hjic-126	54	18	recent	recent	ADJ
hjic-126	54	19	literature	literature	NOUN
hjic-126	54	20	[	[	X
hjic-126	54	21	6	6	NUM
hjic-126	54	22	,	,	PUNCT
hjic-126	54	23	7	7	NUM
hjic-126	54	24	]	]	PUNCT
hjic-126	54	25	.	.	PUNCT
hjic-126	55	1	these	these	DET
hjic-126	55	2	methods	method	NOUN
hjic-126	55	3	evaluate	evaluate	VERB
hjic-126	55	4	the	the	DET
hjic-126	55	5	output	output	NOUN
hjic-126	55	6	contribution	contribution	NOUN
hjic-126	55	7	of	of	ADP
hjic-126	55	8	the	the	DET
hjic-126	55	9	rules	rule	NOUN
hjic-126	55	10	to	to	PART
hjic-126	55	11	obtain	obtain	VERB
hjic-126	55	12	the	the	DET
hjic-126	55	13	order	order	NOUN
hjic-126	55	14	of	of	ADP
hjic-126	55	15	importance	importance	NOUN
hjic-126	55	16	.	.	PUNCT
hjic-126	56	1	the	the	DET
hjic-126	56	2	less	less	ADV
hjic-126	56	3	important	important	ADJ
hjic-126	56	4	rules	rule	NOUN
hjic-126	56	5	are	be	AUX
hjic-126	56	6	then	then	ADV
hjic-126	56	7	removed	remove	VERB
hjic-126	56	8	according	accord	VERB
hjic-126	56	9	this	this	DET
hjic-126	56	10	ranking	ranking	NOUN
hjic-126	56	11	to	to	PART
hjic-126	56	12	further	far	ADV
hjic-126	56	13	reduce	reduce	VERB
hjic-126	56	14	the	the	DET
hjic-126	56	15	complexity	complexity	NOUN
hjic-126	56	16	and	and	CCONJ
hjic-126	56	17	increase	increase	VERB
hjic-126	56	18	the	the	DET
hjic-126	56	19	transparency	transparency	NOUN
hjic-126	56	20	.	.	PUNCT
hjic-126	57	1	this	this	DET
hjic-126	57	2	article	article	NOUN
hjic-126	57	3	organized	organize	VERB
hjic-126	57	4	as	as	SCONJ
hjic-126	57	5	follows	follow	VERB
hjic-126	57	6	.	.	PUNCT
hjic-126	58	1	firstly	firstly	ADV
hjic-126	58	2	basic	basic	ADJ
hjic-126	58	3	notations	notation	NOUN
hjic-126	58	4	of	of	ADP
hjic-126	58	5	support	support	NOUN
hjic-126	58	6	vector	vector	NOUN
hjic-126	58	7	machines	machine	NOUN
hjic-126	58	8	and	and	CCONJ
hjic-126	58	9	the	the	DET
hjic-126	58	10	connection	connection	NOUN
hjic-126	58	11	between	between	ADP
hjic-126	58	12	the	the	DET
hjic-126	58	13	fuzzy	fuzzy	ADJ
hjic-126	58	14	rule	rule	NOUN
hjic-126	58	15	-	-	PUNCT
hjic-126	58	16	based	base	VERB
hjic-126	58	17	classifiers	classifier	NOUN
hjic-126	58	18	is	be	AUX
hjic-126	58	19	described	describe	VERB
hjic-126	58	20	,	,	PUNCT
hjic-126	58	21	later	later	ADV
hjic-126	58	22	on	on	ADP
hjic-126	58	23	the	the	DET
hjic-126	58	24	connection	connection	NOUN
hjic-126	58	25	between	between	ADP
hjic-126	58	26	support	support	NOUN
hjic-126	58	27	vector	vector	NOUN
hjic-126	58	28	regression	regression	NOUN
hjic-126	58	29	and	and	CCONJ
hjic-126	58	30	fuzzy	fuzzy	ADJ
hjic-126	58	31	regression	regression	NOUN
hjic-126	58	32	is	be	AUX
hjic-126	58	33	introduced	introduce	VERB
hjic-126	58	34	.	.	PUNCT
hjic-126	59	1	after	after	ADP
hjic-126	59	2	detailed	detailed	ADJ
hjic-126	59	3	description	description	NOUN
hjic-126	59	4	of	of	ADP
hjic-126	59	5	the	the	DET
hjic-126	59	6	three	three	NUM
hjic-126	59	7	-	-	PUNCT
hjic-126	59	8	step	step	NOUN
hjic-126	59	9	reduction	reduction	NOUN
hjic-126	59	10	algorithm	algorithm	NOUN
hjic-126	59	11	examples	example	NOUN
hjic-126	59	12	indicate	indicate	VERB
hjic-126	59	13	the	the	DET
hjic-126	59	14	power	power	NOUN
hjic-126	59	15	and	and	CCONJ
hjic-126	59	16	the	the	DET
hjic-126	59	17	usage	usage	NOUN
hjic-126	59	18	of	of	ADP
hjic-126	59	19	the	the	DET
hjic-126	59	20	described	describe	VERB
hjic-126	59	21	techniques	technique	NOUN
hjic-126	59	22	either	either	CCONJ
hjic-126	59	23	on	on	ADP
hjic-126	59	24	classification	classification	NOUN
hjic-126	59	25	and	and	CCONJ
hjic-126	59	26	regression	regression	NOUN
hjic-126	59	27	problems	problem	NOUN
hjic-126	59	28	.	.	PUNCT
hjic-126	60	1	support	support	NOUN
hjic-126	60	2	vector	vector	NOUN
hjic-126	60	3	machines	machine	NOUN
hjic-126	60	4	for	for	ADP
hjic-126	60	5	classification	classification	NOUN
hjic-126	60	6	formulation	formulation	NOUN
hjic-126	60	7	of	of	ADP
hjic-126	60	8	the	the	DET
hjic-126	60	9	fuzzy	fuzzy	ADJ
hjic-126	60	10	rule	rule	NOUN
hjic-126	60	11	-	-	PUNCT
hjic-126	60	12	based	base	VERB
hjic-126	60	13	classifier	classifier	NOUN
hjic-126	60	14	as	as	ADP
hjic-126	60	15	a	a	DET
hjic-126	60	16	kernel	kernel	NOUN
hjic-126	60	17	machine	machine	NOUN
hjic-126	60	18	svm	svm	NOUN
hjic-126	60	19	has	have	AUX
hjic-126	60	20	been	be	AUX
hjic-126	60	21	recently	recently	ADV
hjic-126	60	22	introduced	introduce	VERB
hjic-126	60	23	for	for	ADP
hjic-126	60	24	solving	solve	VERB
hjic-126	60	25	pattern	pattern	NOUN
hjic-126	60	26	recognition	recognition	NOUN
hjic-126	60	27	and	and	CCONJ
hjic-126	60	28	function	function	NOUN
hjic-126	60	29	estimation	estimation	NOUN
hjic-126	60	30	problems	problem	NOUN
hjic-126	60	31	.	.	PUNCT
hjic-126	61	1	svm	svm	PROPN
hjic-126	61	2	is	be	AUX
hjic-126	61	3	a	a	DET
hjic-126	61	4	nonlinear	nonlinear	ADJ
hjic-126	61	5	generalization	generalization	NOUN
hjic-126	61	6	of	of	ADP
hjic-126	61	7	the	the	DET
hjic-126	61	8	generalized	generalized	ADJ
hjic-126	61	9	portrait	portrait	NOUN
hjic-126	61	10	algorithm	algorithm	NOUN
hjic-126	61	11	developed	develop	VERB
hjic-126	61	12	in	in	ADP
hjic-126	61	13	russia	russia	PROPN
hjic-126	61	14	in	in	ADP
hjic-126	61	15	the	the	DET
hjic-126	61	16	1960s	1960	NOUN
hjic-126	61	17	.	.	PUNCT
hjic-126	62	1	in	in	ADP
hjic-126	62	2	its	its	PRON
hjic-126	62	3	present	present	ADJ
hjic-126	62	4	form	form	NOUN
hjic-126	62	5	,	,	PUNCT
hjic-126	62	6	the	the	DET
hjic-126	62	7	svm	svm	NOUN
hjic-126	62	8	was	be	AUX
hjic-126	62	9	developed	develop	VERB
hjic-126	62	10	at	at	ADP
hjic-126	62	11	at&t	at&t	PROPN
hjic-126	62	12	bell	bell	PROPN
hjic-126	62	13	laboratories	laboratory	NOUN
hjic-126	62	14	by	by	ADP
hjic-126	62	15	vapnik	vapnik	NOUN
hjic-126	62	16	and	and	CCONJ
hjic-126	62	17	co	co	NOUN
hjic-126	62	18	-	-	NOUN
hjic-126	62	19	workers.[8	workers.[8	NOUN
hjic-126	62	20	]	]	PUNCT
hjic-126	62	21	due	due	ADP
hjic-126	62	22	to	to	ADP
hjic-126	62	23	this	this	DET
hjic-126	62	24	industrial	industrial	ADJ
hjic-126	62	25	context	context	NOUN
hjic-126	62	26	,	,	PUNCT
hjic-126	62	27	svm	svm	ADJ
hjic-126	62	28	research	research	NOUN
hjic-126	62	29	has	have	VERB
hjic-126	62	30	up	up	ADP
hjic-126	62	31	to	to	ADP
hjic-126	62	32	date	date	NOUN
hjic-126	62	33	had	have	VERB
hjic-126	62	34	a	a	DET
hjic-126	62	35	sound	sound	ADJ
hjic-126	62	36	orientation	orientation	NOUN
hjic-126	62	37	towards	towards	ADP
hjic-126	62	38	real	real	ADJ
hjic-126	62	39	-	-	PUNCT
hjic-126	62	40	world	world	NOUN
hjic-126	62	41	applications	application	NOUN
hjic-126	62	42	.	.	PUNCT
hjic-126	63	1	svm	svm	PROPN
hjic-126	63	2	learning	learning	NOUN
hjic-126	63	3	has	have	AUX
hjic-126	63	4	now	now	ADV
hjic-126	63	5	evolved	evolve	VERB
hjic-126	63	6	into	into	ADP
hjic-126	63	7	an	an	DET
hjic-126	63	8	active	active	ADJ
hjic-126	63	9	area	area	NOUN
hjic-126	63	10	of	of	ADP
hjic-126	63	11	research	research	NOUN
hjic-126	63	12	.	.	PUNCT
hjic-126	64	1	moreover	moreover	ADV
hjic-126	64	2	,	,	PUNCT
hjic-126	64	3	it	it	PRON
hjic-126	64	4	is	be	AUX
hjic-126	64	5	in	in	ADP
hjic-126	64	6	the	the	DET
hjic-126	64	7	process	process	NOUN
hjic-126	64	8	of	of	ADP
hjic-126	64	9	entering	enter	VERB
hjic-126	64	10	the	the	DET
hjic-126	64	11	standard	standard	ADJ
hjic-126	64	12	methods	method	NOUN
hjic-126	64	13	toolbox	toolbox	NOUN
hjic-126	64	14	of	of	ADP
hjic-126	64	15	machine	machine	NOUN
hjic-126	64	16	learning	learning	NOUN
hjic-126	64	17	.	.	PUNCT
hjic-126	65	1	the	the	DET
hjic-126	65	2	basic	basic	ADJ
hjic-126	65	3	idea	idea	NOUN
hjic-126	65	4	behind	behind	ADP
hjic-126	65	5	svm	svm	PROPN
hjic-126	65	6	is	be	AUX
hjic-126	65	7	that	that	SCONJ
hjic-126	65	8	with	with	ADP
hjic-126	65	9	a	a	DET
hjic-126	65	10	kernel	kernel	NOUN
hjic-126	65	11	function	function	NOUN
hjic-126	65	12	k(xi	k(xi	PROPN
hjic-126	65	13	,	,	PUNCT
hjic-126	65	14	xj	xj	NOUN
hjic-126	65	15	)	)	PUNCT
hjic-126	65	16	which	which	PRON
hjic-126	65	17	for	for	ADP
hjic-126	65	18	all	all	DET
hjic-126	65	19	data	datum	NOUN
hjic-126	65	20	pairs	pair	NOUN
hjic-126	65	21	{	{	PUNCT
hjic-126	65	22	x1	x1	PROPN
hjic-126	65	23	,	,	PUNCT
hjic-126	65	24	...	...	PUNCT
hjic-126	66	1	xnd	xnd	X
hjic-126	66	2	}	}	PUNCT
hjic-126	66	3	⊂	⊂	PROPN
hjic-126	66	4	χ	χ	PRON
hjic-126	66	5	×	×	NOUN
hjic-126	66	6	rni	rni	NOUN
hjic-126	66	7	give	give	VERB
hjic-126	66	8	rise	rise	NOUN
hjic-126	66	9	to	to	ADP
hjic-126	66	10	positive	positive	ADJ
hjic-126	66	11	matrices	matrix	NOUN
hjic-126	66	12	kij	kij	NOUN
hjic-126	66	13	:	:	PUNCT
hjic-126	66	14	=	=	SYM
hjic-126	66	15	k(xi	k(xi	PROPN
hjic-126	66	16	,	,	PUNCT
hjic-126	66	17	xj	xj	NOUN
hjic-126	66	18	)	)	PUNCT
hjic-126	66	19	.	.	PUNCT
hjic-126	67	1	[	[	X
hjic-126	67	2	9	9	NUM
hjic-126	67	3	]	]	PUNCT
hjic-126	67	4	using	use	VERB
hjic-126	67	5	k	k	PROPN
hjic-126	67	6	instead	instead	ADV
hjic-126	67	7	of	of	ADP
hjic-126	67	8	a	a	DET
hjic-126	67	9	dot	dot	NOUN
hjic-126	67	10	product	product	NOUN
hjic-126	67	11	in	in	ADP
hjic-126	67	12	rni	rni	NOUN
hjic-126	67	13	corresponds	correspond	VERB
hjic-126	67	14	to	to	ADP
hjic-126	67	15	mapping	map	VERB
hjic-126	67	16	the	the	DET
hjic-126	67	17	data	datum	NOUN
hjic-126	67	18	into	into	ADP
hjic-126	67	19	a	a	DET
hjic-126	67	20	possibly	possibly	ADV
hjic-126	67	21	high	high	ADJ
hjic-126	67	22	dimensional	dimensional	ADJ
hjic-126	67	23	space	space	NOUN
hjic-126	67	24	f	f	NOUN
hjic-126	67	25	,	,	PUNCT
hjic-126	67	26	by	by	ADP
hjic-126	67	27	a	a	DET
hjic-126	67	28	103	103	NUM
hjic-126	67	29	usually	usually	ADV
hjic-126	67	30	nonlinear	nonlinear	ADJ
hjic-126	67	31	map	map	NOUN
hjic-126	67	32	φ	φ	NOUN
hjic-126	67	33	:	:	PUNCT
hjic-126	67	34	rni	rni	NOUN
hjic-126	67	35	→	→	SYM
hjic-126	67	36	f	f	PROPN
hjic-126	67	37	and	and	CCONJ
hjic-126	67	38	takes	take	VERB
hjic-126	67	39	the	the	DET
hjic-126	67	40	dot	dot	NOUN
hjic-126	67	41	product	product	NOUN
hjic-126	67	42	there	there	ADV
hjic-126	67	43	k(zi	k(zi	NOUN
hjic-126	67	44	,	,	PUNCT
hjic-126	67	45	x	x	NOUN
hjic-126	67	46	)	)	PUNCT
hjic-126	67	47	=	=	SYM
hjic-126	67	48	(	(	PUNCT
hjic-126	67	49	φ(zi	φ(zi	PROPN
hjic-126	67	50	)	)	PUNCT
hjic-126	67	51	,	,	PUNCT
hjic-126	67	52	φ	φ	PROPN
hjic-126	67	53	(	(	PUNCT
hjic-126	67	54	x	x	NOUN
hjic-126	67	55	)	)	PUNCT
hjic-126	67	56	)	)	PUNCT
hjic-126	67	57	(	(	PUNCT
hjic-126	67	58	1	1	X
hjic-126	67	59	)	)	PUNCT
hjic-126	67	60	the	the	DET
hjic-126	67	61	structure	structure	NOUN
hjic-126	67	62	of	of	ADP
hjic-126	67	63	the	the	DET
hjic-126	67	64	fuzzy	fuzzy	ADJ
hjic-126	67	65	rule	rule	NOUN
hjic-126	67	66	-	-	PUNCT
hjic-126	67	67	based	base	VERB
hjic-126	67	68	classifier	classifier	NOUN
hjic-126	67	69	one	one	NUM
hjic-126	67	70	widely	widely	ADV
hjic-126	67	71	used	use	VERB
hjic-126	67	72	approach	approach	NOUN
hjic-126	67	73	to	to	PART
hjic-126	67	74	solve	solve	VERB
hjic-126	67	75	non	non	ADJ
hjic-126	67	76	-	-	ADJ
hjic-126	67	77	fuzzy	fuzzy	ADJ
hjic-126	67	78	nc	nc	ADJ
hjic-126	67	79	-	-	PUNCT
hjic-126	67	80	class	class	NOUN
hjic-126	67	81	pattern	pattern	NOUN
hjic-126	67	82	recognition	recognition	NOUN
hjic-126	67	83	problems	problem	NOUN
hjic-126	67	84	is	be	AUX
hjic-126	67	85	to	to	PART
hjic-126	67	86	consider	consider	VERB
hjic-126	67	87	the	the	DET
hjic-126	67	88	general	general	ADJ
hjic-126	67	89	problem	problem	NOUN
hjic-126	67	90	as	as	ADP
hjic-126	67	91	a	a	DET
hjic-126	67	92	collection	collection	NOUN
hjic-126	67	93	of	of	ADP
hjic-126	67	94	binary	binary	ADJ
hjic-126	67	95	classification	classification	NOUN
hjic-126	67	96	problems	problem	NOUN
hjic-126	67	97	.	.	PUNCT
hjic-126	68	1	accordingly	accordingly	ADV
hjic-126	68	2	,	,	PUNCT
hjic-126	68	3	nc	nc	PROPN
hjic-126	68	4	classifiers	classifier	NOUN
hjic-126	68	5	can	can	AUX
hjic-126	68	6	be	be	AUX
hjic-126	68	7	constructed	construct	VERB
hjic-126	68	8	,	,	PUNCT
hjic-126	68	9	i.e.	i.e.	X
hjic-126	68	10	one	one	NUM
hjic-126	68	11	for	for	ADP
hjic-126	68	12	each	each	DET
hjic-126	68	13	class	class	NOUN
hjic-126	68	14	.	.	PUNCT
hjic-126	69	1	the	the	DET
hjic-126	69	2	c	c	NOUN
hjic-126	69	3	-	-	PUNCT
hjic-126	69	4	th	th	X
hjic-126	69	5	classifier	classifier	NOUN
hjic-126	69	6	,	,	PUNCT
hjic-126	69	7	c	c	NOUN
hjic-126	69	8	=	=	SYM
hjic-126	69	9	1	1	NUM
hjic-126	69	10	...	...	PUNCT
hjic-126	69	11	nc	nc	NOUN
hjic-126	69	12	,	,	PUNCT
hjic-126	69	13	separates	separate	VERB
hjic-126	69	14	class	class	NOUN
hjic-126	69	15	c	c	NOUN
hjic-126	69	16	from	from	ADP
hjic-126	69	17	the	the	DET
hjic-126	69	18	nc	nc	PROPN
hjic-126	69	19	other	other	ADJ
hjic-126	69	20	classes	class	NOUN
hjic-126	69	21	.	.	PUNCT
hjic-126	70	1	this	this	DET
hjic-126	70	2	one	one	NUM
hjic-126	70	3	-	-	PUNCT
hjic-126	70	4	against	against	ADP
hjic-126	70	5	-	-	PUNCT
hjic-126	70	6	all	all	PRON
hjic-126	70	7	method	method	NOUN
hjic-126	70	8	results	result	NOUN
hjic-126	70	9	in	in	ADP
hjic-126	70	10	a	a	DET
hjic-126	70	11	hierarchical	hierarchical	ADJ
hjic-126	70	12	classifier	classifier	NOUN
hjic-126	70	13	structure	structure	NOUN
hjic-126	70	14	that	that	PRON
hjic-126	70	15	allows	allow	VERB
hjic-126	70	16	for	for	ADP
hjic-126	70	17	a	a	DET
hjic-126	70	18	sequential	sequential	ADJ
hjic-126	70	19	model	model	NOUN
hjic-126	70	20	construction	construction	NOUN
hjic-126	70	21	and	and	CCONJ
hjic-126	70	22	evaluation	evaluation	NOUN
hjic-126	70	23	procedure	procedure	NOUN
hjic-126	70	24	.	.	PUNCT
hjic-126	71	1	based	base	VERB
hjic-126	71	2	on	on	ADP
hjic-126	71	3	this	this	PRON
hjic-126	71	4	the	the	DET
hjic-126	71	5	classifier	classifier	NOUN
hjic-126	71	6	consist	consist	NOUN
hjic-126	71	7	of	of	ADP
hjic-126	71	8	nc	nc	PROPN
hjic-126	71	9	fuzzy	fuzzy	PROPN
hjic-126	71	10	subsystems	subsystem	NOUN
hjic-126	71	11	with	with	ADP
hjic-126	71	12	a	a	DET
hjic-126	71	13	set	set	NOUN
hjic-126	71	14	of	of	ADP
hjic-126	71	15	takagi	takagi	NOUN
hjic-126	71	16	-	-	PUNCT
hjic-126	71	17	sugeno	sugeno	NOUN
hjic-126	71	18	-	-	PUNCT
hjic-126	71	19	type	type	NOUN
hjic-126	71	20	fuzzy	fuzzy	ADJ
hjic-126	71	21	rules	rule	NOUN
hjic-126	71	22	[	[	X
hjic-126	71	23	10	10	NUM
hjic-126	71	24	]	]	PUNCT
hjic-126	71	25	that	that	PRON
hjic-126	71	26	describe	describe	VERB
hjic-126	71	27	the	the	DET
hjic-126	71	28	c	c	NOUN
hjic-126	71	29	-	-	PUNCT
hjic-126	71	30	th	th	VERB
hjic-126	71	31	class	class	NOUN
hjic-126	71	32	in	in	ADP
hjic-126	71	33	the	the	DET
hjic-126	71	34	given	give	VERB
hjic-126	71	35	data	datum	NOUN
hjic-126	71	36	set	set	VERB
hjic-126	71	37	as	as	ADP
hjic-126	71	38	:	:	PUNCT
hjic-126	71	39	ri	ri	NOUN
hjic-126	71	40	c	c	NOUN
hjic-126	71	41	if	if	SCONJ
hjic-126	71	42	x1	x1	PROPN
hjic-126	71	43	is	be	AUX
hjic-126	71	44	c	c	NOUN
hjic-126	71	45	ia1	ia1	NOUN
hjic-126	71	46	and	and	CCONJ
hjic-126	71	47	...	...	PUNCT
hjic-126	71	48	xn	xn	PROPN
hjic-126	71	49	is	be	AUX
hjic-126	71	50	c	c	NOUN
hjic-126	71	51	ina	ina	PROPN
hjic-126	72	1	then	then	ADV
hjic-126	72	2	c	c	VERB
hjic-126	73	1	i	i	PRON
hjic-126	73	2	c	c	PROPN
hjic-126	73	3	iy	iy	INTJ
hjic-126	73	4	δ=	δ=	X
hjic-126	73	5	(	(	PUNCT
hjic-126	73	6	2	2	NUM
hjic-126	73	7	)	)	PUNCT
hjic-126	73	8	where	where	SCONJ
hjic-126	73	9	ri	ri	PROPN
hjic-126	73	10	c	c	PROPN
hjic-126	73	11	is	be	AUX
hjic-126	73	12	the	the	DET
hjic-126	73	13	i	i	PROPN
hjic-126	73	14	-	-	PUNCT
hjic-126	73	15	th	th	VERB
hjic-126	73	16	rule	rule	NOUN
hjic-126	73	17	in	in	ADP
hjic-126	73	18	the	the	DET
hjic-126	73	19	c	c	NOUN
hjic-126	73	20	-	-	PUNCT
hjic-126	73	21	th	th	VERB
hjic-126	73	22	fuzzy	fuzzy	ADJ
hjic-126	73	23	rule	rule	NOUN
hjic-126	73	24	-	-	PUNCT
hjic-126	73	25	based	base	VERB
hjic-126	73	26	classifier	classifier	NOUN
hjic-126	73	27	and	and	CCONJ
hjic-126	73	28	nr	nr	PROPN
hjic-126	73	29	c	c	PROPN
hjic-126	73	30	denotes	denote	VERB
hjic-126	73	31	the	the	DET
hjic-126	73	32	number	number	NOUN
hjic-126	73	33	of	of	ADP
hjic-126	73	34	rules	rule	NOUN
hjic-126	73	35	.	.	PUNCT
hjic-126	74	1	c	c	NOUN
hjic-126	75	1	n	n	PRON
hjic-126	75	2	c	c	NOUN
hjic-126	76	1	i	i	PRON
hjic-126	76	2	i	i	PRON
hjic-126	76	3	aa	aa	PROPN
hjic-126	76	4	k,1	k,1	PROPN
hjic-126	76	5	denote	denote	VERB
hjic-126	76	6	the	the	DET
hjic-126	76	7	antecedent	antecedent	NOUN
hjic-126	76	8	fuzzy	fuzzy	ADJ
hjic-126	76	9	sets	set	NOUN
hjic-126	76	10	that	that	PRON
hjic-126	76	11	define	define	VERB
hjic-126	76	12	the	the	DET
hjic-126	76	13	operating	operating	NOUN
hjic-126	76	14	region	region	NOUN
hjic-126	76	15	of	of	ADP
hjic-126	76	16	rule	rule	NOUN
hjic-126	76	17	in	in	ADP
hjic-126	76	18	the	the	DET
hjic-126	76	19	ni	ni	ADJ
hjic-126	76	20	dimensional	dimensional	ADJ
hjic-126	76	21	input	input	NOUN
hjic-126	76	22	space	space	NOUN
hjic-126	76	23	.	.	PUNCT
hjic-126	77	1	the	the	DET
hjic-126	77	2	rule	rule	NOUN
hjic-126	77	3	consequent	consequent	NOUN
hjic-126	77	4	δi	δi	PROPN
hjic-126	77	5	c	c	NOUN
hjic-126	77	6	is	be	AUX
hjic-126	77	7	a	a	DET
hjic-126	77	8	crisp	crisp	ADJ
hjic-126	77	9	number	number	NOUN
hjic-126	77	10	.	.	PUNCT
hjic-126	78	1	the	the	DET
hjic-126	78	2	connective	connective	NOUN
hjic-126	78	3	is	be	AUX
hjic-126	78	4	modelled	model	VERB
hjic-126	78	5	by	by	ADP
hjic-126	78	6	the	the	DET
hjic-126	78	7	product	product	NOUN
hjic-126	78	8	operator	operator	NOUN
hjic-126	78	9	.	.	PUNCT
hjic-126	79	1	hence	hence	ADV
hjic-126	79	2	the	the	DET
hjic-126	79	3	degree	degree	NOUN
hjic-126	79	4	of	of	ADP
hjic-126	79	5	activation	activation	NOUN
hjic-126	79	6	of	of	ADP
hjic-126	79	7	the	the	DET
hjic-126	79	8	i	i	PROPN
hjic-126	79	9	-	-	PUNCT
hjic-126	79	10	th	th	VERB
hjic-126	79	11	rule	rule	NOUN
hjic-126	79	12	is	be	AUX
hjic-126	79	13	calculated	calculate	VERB
hjic-126	79	14	as	as	ADP
hjic-126	79	15	(	(	PUNCT
hjic-126	79	16	)	)	PUNCT
hjic-126	79	17	(	(	PUNCT
hjic-126	79	18	)	)	PUNCT
hjic-126	79	19	∏	∏	PROPN
hjic-126	79	20	=	=	PUNCT
hjic-126	80	1	=	=	SYM
hjic-126	80	2	=	=	PROPN
hjic-126	80	3	in	in	ADP
hjic-126	80	4	j	j	PROPN
hjic-126	80	5	c	c	PROPN
hjic-126	80	6	rj	rj	PROPN
hjic-126	80	7	c	c	NOUN
hjic-126	81	1	ij	ij	INTJ
hjic-126	81	2	c	c	INTJ
hjic-126	81	3	i	i	PRON
hjic-126	81	4	nixax	nixax	VERB
hjic-126	81	5	1	1	NUM
hjic-126	81	6	,	,	PUNCT
hjic-126	81	7	,	,	PUNCT
hjic-126	81	8	1	1	NUM
hjic-126	81	9	,	,	PUNCT
hjic-126	81	10	kβ	kβ	X
hjic-126	81	11	(	(	PUNCT
hjic-126	81	12	3	3	NUM
hjic-126	81	13	)	)	PUNCT
hjic-126	81	14	the	the	DET
hjic-126	81	15	output	output	NOUN
hjic-126	81	16	of	of	ADP
hjic-126	81	17	the	the	DET
hjic-126	81	18	classifier	classifier	NOUN
hjic-126	81	19	determined	determine	VERB
hjic-126	81	20	by	by	ADP
hjic-126	81	21	the	the	DET
hjic-126	81	22	following	follow	VERB
hjic-126	81	23	decision	decision	NOUN
hjic-126	81	24	function	function	NOUN
hjic-126	81	25	(	(	PUNCT
hjic-126	81	26	)	)	PUNCT
hjic-126	81	27	⎟	⎟	X
hjic-126	81	28	⎟	⎟	X
hjic-126	81	29	⎠	⎠	PUNCT
hjic-126	81	30	⎞	⎞	PROPN
hjic-126	81	31	⎜	⎜	PROPN
hjic-126	81	32	⎜	⎜	PROPN
hjic-126	81	33	⎝	⎝	PUNCT
hjic-126	81	34	⎛	⎛	X
hjic-126	82	1	+	+	PUNCT
hjic-126	82	2	=	=	SYM
hjic-126	82	3	∑	∑	PUNCT
hjic-126	82	4	=	=	SYM
hjic-126	82	5	cc	cc	PROPN
hjic-126	82	6	i	i	PRON
hjic-126	82	7	n	n	INTJ
hjic-126	83	1	i	i	INTJ
hjic-126	83	2	c	c	VERB
hjic-126	84	1	i	i	INTJ
hjic-126	84	2	c	c	VERB
hjic-126	85	1	bxy	bxy	NOUN
hjic-126	85	2	c	c	NOUN
hjic-126	85	3	r	r	NOUN
hjic-126	85	4	δβ	δβ	NOUN
hjic-126	85	5	1	1	NUM
hjic-126	85	6	sgn	sgn	NOUN
hjic-126	85	7	(	(	PUNCT
hjic-126	85	8	4	4	NUM
hjic-126	85	9	)	)	PUNCT
hjic-126	85	10	where	where	SCONJ
hjic-126	85	11	bc	bc	PROPN
hjic-126	85	12	is	be	AUX
hjic-126	85	13	a	a	DET
hjic-126	85	14	constant	constant	ADJ
hjic-126	85	15	threshold	threshold	NOUN
hjic-126	85	16	.	.	PUNCT
hjic-126	86	1	if	if	SCONJ
hjic-126	86	2	yc	yc	PROPN
hjic-126	86	3	=	=	PUNCT
hjic-126	86	4	–	–	PUNCT
hjic-126	86	5	1	1	NUM
hjic-126	86	6	,	,	PUNCT
hjic-126	86	7	then	then	ADV
hjic-126	86	8	it	it	PRON
hjic-126	86	9	is	be	AUX
hjic-126	86	10	not	not	PART
hjic-126	86	11	an	an	DET
hjic-126	86	12	item	item	NOUN
hjic-126	86	13	in	in	ADP
hjic-126	86	14	class	class	NOUN
hjic-126	86	15	c.	c.	NOUN
hjic-126	86	16	the	the	DET
hjic-126	86	17	main	main	ADJ
hjic-126	86	18	principle	principle	NOUN
hjic-126	86	19	of	of	ADP
hjic-126	86	20	kernel	kernel	NOUN
hjic-126	86	21	-	-	PUNCT
hjic-126	86	22	based	base	VERB
hjic-126	86	23	support	support	NOUN
hjic-126	86	24	vector	vector	NOUN
hjic-126	86	25	classifiers	classifier	NOUN
hjic-126	86	26	is	be	AUX
hjic-126	86	27	the	the	DET
hjic-126	86	28	identification	identification	NOUN
hjic-126	86	29	of	of	ADP
hjic-126	86	30	a	a	DET
hjic-126	86	31	linear	linear	ADJ
hjic-126	86	32	decision	decision	NOUN
hjic-126	86	33	boundary	boundary	ADJ
hjic-126	86	34	in	in	ADP
hjic-126	86	35	this	this	DET
hjic-126	86	36	high	high	ADJ
hjic-126	86	37	-	-	PUNCT
hjic-126	86	38	dimensional	dimensional	ADJ
hjic-126	86	39	feature	feature	NOUN
hjic-126	86	40	-	-	PUNCT
hjic-126	86	41	space	space	NOUN
hjic-126	86	42	.	.	PUNCT
hjic-126	87	1	the	the	DET
hjic-126	87	2	link	link	NOUN
hjic-126	87	3	to	to	ADP
hjic-126	87	4	the	the	DET
hjic-126	87	5	fuzzy	fuzzy	ADJ
hjic-126	87	6	model	model	NOUN
hjic-126	87	7	structure	structure	NOUN
hjic-126	87	8	is	be	AUX
hjic-126	87	9	the	the	DET
hjic-126	87	10	following	following	NOUN
hjic-126	87	11	:	:	PUNCT
hjic-126	87	12	the	the	DET
hjic-126	87	13	fuzzy	fuzzy	ADJ
hjic-126	87	14	sets	set	NOUN
hjic-126	87	15	are	be	AUX
hjic-126	87	16	represented	represent	VERB
hjic-126	87	17	in	in	ADP
hjic-126	87	18	this	this	DET
hjic-126	87	19	paper	paper	NOUN
hjic-126	87	20	by	by	ADP
hjic-126	87	21	gaussian	gaussian	ADJ
hjic-126	87	22	membership	membership	NOUN
hjic-126	87	23	functions	function	NOUN
hjic-126	87	24	(	(	PUNCT
hjic-126	87	25	)	)	PUNCT
hjic-126	87	26	(	(	PUNCT
hjic-126	87	27	)	)	PUNCT
hjic-126	87	28	⎟	⎟	X
hjic-126	87	29	⎟	⎟	X
hjic-126	87	30	⎠	⎠	PUNCT
hjic-126	87	31	⎞	⎞	PROPN
hjic-126	87	32	⎜	⎜	PROPN
hjic-126	87	33	⎜	⎜	PROPN
hjic-126	87	34	⎝	⎝	PUNCT
hjic-126	87	35	⎛	⎛	NOUN
hjic-126	87	36	−	−	NOUN
hjic-126	87	37	=	=	SYM
hjic-126	87	38	2	2	NUM
hjic-126	87	39	2	2	NUM
hjic-126	87	40	2	2	NUM
hjic-126	87	41	exp	exp	NOUN
hjic-126	87	42	σ	σ	NOUN
hjic-126	87	43	ijj	ijj	NOUN
hjic-126	88	1	jij	jij	PROPN
hjic-126	88	2	zx	zx	PROPN
hjic-126	88	3	xa	xa	PROPN
hjic-126	88	4	(	(	PUNCT
hjic-126	88	5	5	5	NUM
hjic-126	88	6	)	)	PUNCT
hjic-126	88	7	(	(	PUNCT
hjic-126	88	8	)	)	PUNCT
hjic-126	88	9	⎟	⎟	X
hjic-126	88	10	⎟	⎟	X
hjic-126	88	11	⎠	⎠	PUNCT
hjic-126	88	12	⎞	⎞	PROPN
hjic-126	88	13	⎜	⎜	PROPN
hjic-126	88	14	⎜	⎜	PROPN
hjic-126	88	15	⎝	⎝	PUNCT
hjic-126	88	16	⎛	⎛	NOUN
hjic-126	88	17	−	−	NOUN
hjic-126	88	18	=	=	SYM
hjic-126	88	19	=	=	SYM
hjic-126	88	20	σ	σ	PROPN
hjic-126	88	21	β	β	PROPN
hjic-126	88	22	2	2	NUM
hjic-126	88	23	exp	exp	NOUN
hjic-126	88	24	)	)	PUNCT
hjic-126	88	25	,	,	PUNCT
hjic-126	88	26	(	(	PUNCT
hjic-126	88	27	2	2	X
hjic-126	88	28	i	i	NOUN
hjic-126	88	29	ii	ii	NOUN
hjic-126	88	30	zx	zx	NUM
hjic-126	88	31	xzkx	xzkx	PROPN
hjic-126	88	32	(	(	PUNCT
hjic-126	88	33	6	6	NUM
hjic-126	88	34	)	)	PUNCT
hjic-126	88	35	the	the	DET
hjic-126	88	36	degree	degree	NOUN
hjic-126	88	37	of	of	ADP
hjic-126	88	38	fulfilment	fulfilment	NOUN
hjic-126	88	39	βi(x	βi(x	PUNCT
hjic-126	88	40	)	)	PUNCT
hjic-126	88	41	can	can	AUX
hjic-126	88	42	be	be	AUX
hjic-126	88	43	written	write	VERB
hjic-126	88	44	in	in	ADP
hjic-126	88	45	a	a	DET
hjic-126	88	46	more	more	ADV
hjic-126	88	47	compact	compact	ADJ
hjic-126	88	48	form	form	NOUN
hjic-126	88	49	by	by	ADP
hjic-126	88	50	using	use	VERB
hjic-126	88	51	the	the	DET
hjic-126	88	52	gaussian	gaussian	ADJ
hjic-126	88	53	kernels	kernel	NOUN
hjic-126	88	54	.	.	PUNCT
hjic-126	89	1	this	this	DET
hjic-126	89	2	kernel	kernel	PROPN
hjic-126	89	3	interpretation	interpretation	NOUN
hjic-126	89	4	of	of	ADP
hjic-126	89	5	fuzzy	fuzzy	ADJ
hjic-126	89	6	systems	system	NOUN
hjic-126	89	7	shows	show	VERB
hjic-126	89	8	that	that	SCONJ
hjic-126	89	9	fuzzy	fuzzy	ADJ
hjic-126	89	10	models	model	NOUN
hjic-126	89	11	are	be	AUX
hjic-126	89	12	effective	effective	ADJ
hjic-126	89	13	in	in	ADP
hjic-126	89	14	solving	solve	VERB
hjic-126	89	15	nonlinear	nonlinear	ADJ
hjic-126	89	16	problems	problem	NOUN
hjic-126	89	17	because	because	SCONJ
hjic-126	89	18	they	they	PRON
hjic-126	89	19	map	map	VERB
hjic-126	89	20	the	the	DET
hjic-126	89	21	original	original	ADJ
hjic-126	89	22	input	input	NOUN
hjic-126	89	23	space	space	NOUN
hjic-126	89	24	into	into	ADP
hjic-126	89	25	a	a	DET
hjic-126	89	26	nonlinear	nonlinear	ADJ
hjic-126	89	27	feature	feature	NOUN
hjic-126	89	28	space	space	NOUN
hjic-126	89	29	by	by	ADP
hjic-126	89	30	using	use	VERB
hjic-126	89	31	membership	membership	NOUN
hjic-126	89	32	functions	function	NOUN
hjic-126	89	33	similar	similar	ADJ
hjic-126	89	34	to	to	ADP
hjic-126	89	35	the	the	DET
hjic-126	89	36	svm	svm	NOUN
hjic-126	89	37	that	that	PRON
hjic-126	89	38	utilizes	utilize	VERB
hjic-126	89	39	kernel	kernel	NOUN
hjic-126	89	40	functions	function	NOUN
hjic-126	89	41	for	for	ADP
hjic-126	89	42	this	this	DET
hjic-126	89	43	purpose	purpose	NOUN
hjic-126	89	44	.	.	PUNCT
hjic-126	90	1	support	support	NOUN
hjic-126	90	2	vector	vector	NOUN
hjic-126	90	3	machines	machine	NOUN
hjic-126	90	4	for	for	ADP
hjic-126	90	5	regression	regression	NOUN
hjic-126	90	6	svms	svms	NOUN
hjic-126	90	7	can	can	AUX
hjic-126	90	8	also	also	ADV
hjic-126	90	9	be	be	AUX
hjic-126	90	10	applied	apply	VERB
hjic-126	90	11	to	to	PART
hjic-126	90	12	regression	regression	VERB
hjic-126	90	13	problems	problem	NOUN
hjic-126	90	14	as	as	SCONJ
hjic-126	90	15	described	describe	VERB
hjic-126	90	16	in	in	ADP
hjic-126	90	17	the	the	DET
hjic-126	90	18	following	follow	VERB
hjic-126	90	19	paragraphs	paragraph	NOUN
hjic-126	90	20	.	.	PUNCT
hjic-126	91	1	suppose	suppose	VERB
hjic-126	91	2	we	we	PRON
hjic-126	91	3	have	have	VERB
hjic-126	91	4	the	the	DET
hjic-126	91	5	training	training	NOUN
hjic-126	91	6	data	datum	NOUN
hjic-126	91	7	{	{	PUNCT
hjic-126	91	8	(	(	PUNCT
hjic-126	91	9	x1	x1	PROPN
hjic-126	91	10	,	,	PUNCT
hjic-126	91	11	y1	y1	PROPN
hjic-126	91	12	)	)	PUNCT
hjic-126	91	13	...	...	PUNCT
hjic-126	92	1	(	(	PUNCT
hjic-126	92	2	xnd	xnd	PROPN
hjic-126	92	3	,	,	PUNCT
hjic-126	92	4	ynd	ynd	PROPN
hjic-126	92	5	)	)	PUNCT
hjic-126	92	6	}	}	PUNCT
hjic-126	93	1	⊂	⊂	PROPN
hjic-126	93	2	χ	χ	DET
hjic-126	93	3	×	×	PROPN
hjic-126	93	4	rni	rni	NOUN
hjic-126	93	5	,	,	PUNCT
hjic-126	93	6	where	where	SCONJ
hjic-126	93	7	χ	χ	PRON
hjic-126	93	8	denotes	denote	VERB
hjic-126	93	9	the	the	DET
hjic-126	93	10	space	space	NOUN
hjic-126	93	11	of	of	ADP
hjic-126	93	12	input	input	NOUN
hjic-126	93	13	patterns	pattern	NOUN
hjic-126	93	14	.	.	PUNCT
hjic-126	94	1	our	our	PRON
hjic-126	94	2	goal	goal	NOUN
hjic-126	94	3	is	be	AUX
hjic-126	94	4	to	to	PART
hjic-126	94	5	find	find	VERB
hjic-126	94	6	function	function	NOUN
hjic-126	94	7	f(x	f(x	PROPN
hjic-126	94	8	)	)	PUNCT
hjic-126	94	9	that	that	PRON
hjic-126	94	10	has	have	VERB
hjic-126	94	11	at	at	ADP
hjic-126	94	12	most	most	ADJ
hjic-126	94	13	ε	ε	PROPN
hjic-126	94	14	deviation	deviation	NOUN
hjic-126	94	15	from	from	ADP
hjic-126	94	16	the	the	DET
hjic-126	94	17	actually	actually	ADV
hjic-126	94	18	obtained	obtain	VERB
hjic-126	94	19	targets	target	NOUN
hjic-126	94	20	yi	yi	PROPN
hjic-126	94	21	for	for	ADP
hjic-126	94	22	all	all	DET
hjic-126	94	23	the	the	DET
hjic-126	94	24	training	training	NOUN
hjic-126	94	25	data	datum	NOUN
hjic-126	94	26	.	.	PUNCT
hjic-126	95	1	in	in	ADP
hjic-126	95	2	other	other	ADJ
hjic-126	95	3	words	word	NOUN
hjic-126	95	4	we	we	PRON
hjic-126	95	5	do	do	AUX
hjic-126	95	6	not	not	PART
hjic-126	95	7	care	care	VERB
hjic-126	95	8	about	about	ADP
hjic-126	95	9	errors	error	NOUN
hjic-126	95	10	as	as	ADV
hjic-126	95	11	long	long	ADV
hjic-126	95	12	as	as	SCONJ
hjic-126	95	13	they	they	PRON
hjic-126	95	14	are	be	AUX
hjic-126	95	15	less	less	ADJ
hjic-126	95	16	than	than	ADP
hjic-126	95	17	ε	ε	PROPN
hjic-126	95	18	,	,	PUNCT
hjic-126	95	19	but	but	CCONJ
hjic-126	95	20	will	will	AUX
hjic-126	95	21	not	not	PART
hjic-126	95	22	accept	accept	VERB
hjic-126	95	23	any	any	DET
hjic-126	95	24	deviation	deviation	NOUN
hjic-126	95	25	larger	large	ADJ
hjic-126	95	26	than	than	ADP
hjic-126	95	27	this	this	PRON
hjic-126	95	28	[	[	X
hjic-126	95	29	9	9	NUM
hjic-126	95	30	]	]	PUNCT
hjic-126	95	31	.	.	PUNCT
hjic-126	96	1	the	the	DET
hjic-126	96	2	linear	linear	ADJ
hjic-126	96	3	case	case	NOUN
hjic-126	96	4	is	be	AUX
hjic-126	96	5	the	the	DET
hjic-126	96	6	following	follow	VERB
hjic-126	96	7	:	:	PUNCT
hjic-126	96	8	(	(	PUNCT
hjic-126	96	9	)	)	PUNCT
hjic-126	96	10	inbzwithbxzxf	inbzwithbxzxf	ADJ
hjic-126	96	11	r∈∈+=	r∈∈+=	NOUN
hjic-126	96	12	,	,	PUNCT
hjic-126	96	13	,	,	PUNCT
hjic-126	96	14	χ	χ	X
hjic-126	96	15	⎩	⎩	NUM
hjic-126	96	16	⎨	⎨	ADJ
hjic-126	96	17	⎧	⎧	PROPN
hjic-126	96	18	≤−+	≤−+	PROPN
hjic-126	96	19	≤−−	≤−−	PROPN
hjic-126	96	20	ε	ε	PROPN
hjic-126	96	21	ε	ε	PROPN
hjic-126	96	22	ii	ii	PROPN
hjic-126	96	23	ii	ii	PROPN
hjic-126	96	24	ybxz	ybxz	PROPN
hjic-126	96	25	bxzy	bxzy	PROPN
hjic-126	96	26	ts	ts	ADP
hjic-126	96	27	z	z	PROPN
hjic-126	96	28	,	,	PUNCT
hjic-126	96	29	,	,	PUNCT
hjic-126	96	30	..	..	PUNCT
hjic-126	96	31	2	2	NUM
hjic-126	96	32	1min	1min	X
hjic-126	96	33	(	(	PUNCT
hjic-126	96	34	7	7	NUM
hjic-126	96	35	)	)	PUNCT
hjic-126	96	36	sometimes	sometimes	ADV
hjic-126	96	37	however	however	ADV
hjic-126	96	38	we	we	PRON
hjic-126	96	39	want	want	VERB
hjic-126	96	40	to	to	PART
hjic-126	96	41	allow	allow	VERB
hjic-126	96	42	some	some	DET
hjic-126	96	43	errors	error	NOUN
hjic-126	96	44	.	.	PUNCT
hjic-126	97	1	this	this	PRON
hjic-126	97	2	could	could	AUX
hjic-126	97	3	be	be	AUX
hjic-126	97	4	done	do	VERB
hjic-126	97	5	by	by	ADP
hjic-126	97	6	the	the	DET
hjic-126	97	7	introduction	introduction	NOUN
hjic-126	97	8	of	of	ADP
hjic-126	97	9	an	an	DET
hjic-126	97	10	alternative	alternative	ADJ
hjic-126	97	11	loss	loss	NOUN
hjic-126	97	12	function	function	NOUN
hjic-126	97	13	.	.	PUNCT
hjic-126	98	1	the	the	DET
hjic-126	98	2	loss	loss	NOUN
hjic-126	98	3	function	function	NOUN
hjic-126	98	4	must	must	AUX
hjic-126	98	5	be	be	AUX
hjic-126	98	6	modified	modify	VERB
hjic-126	98	7	to	to	PART
hjic-126	98	8	include	include	VERB
hjic-126	98	9	a	a	DET
hjic-126	98	10	distance	distance	NOUN
hjic-126	98	11	measure	measure	NOUN
hjic-126	98	12	.	.	PUNCT
hjic-126	99	1	figure	figure	VERB
hjic-126	99	2	1	1	NUM
hjic-126	99	3	:	:	PUNCT
hjic-126	99	4	loss	loss	NOUN
hjic-126	99	5	functions	function	NOUN
hjic-126	99	6	the	the	DET
hjic-126	99	7	loss	loss	NOUN
hjic-126	99	8	function	function	NOUN
hjic-126	99	9	in	in	ADP
hjic-126	99	10	fig	fig	NOUN
hjic-126	99	11	.	.	PUNCT
hjic-126	100	1	1(a	1(a	NUM
hjic-126	100	2	)	)	PUNCT
hjic-126	100	3	corresponds	correspond	VERB
hjic-126	100	4	to	to	ADP
hjic-126	100	5	the	the	DET
hjic-126	100	6	conventional	conventional	ADJ
hjic-126	100	7	least	least	ADJ
hjic-126	100	8	squares	square	NOUN
hjic-126	100	9	error	error	NOUN
hjic-126	100	10	criterion	criterion	NOUN
hjic-126	100	11	.	.	PUNCT
hjic-126	101	1	the	the	DET
hjic-126	101	2	loss	loss	NOUN
hjic-126	101	3	function	function	NOUN
hjic-126	101	4	in	in	ADP
hjic-126	101	5	fig	fig	NOUN
hjic-126	101	6	.	.	PUNCT
hjic-126	102	1	1(b	1(b	NUM
hjic-126	102	2	)	)	PUNCT
hjic-126	102	3	is	be	AUX
hjic-126	102	4	a	a	DET
hjic-126	102	5	laplacian	laplacian	ADJ
hjic-126	102	6	loss	loss	NOUN
hjic-126	102	7	function	function	NOUN
hjic-126	102	8	that	that	PRON
hjic-126	102	9	is	be	AUX
hjic-126	102	10	less	less	ADV
hjic-126	102	11	sensitive	sensitive	ADJ
hjic-126	102	12	to	to	ADP
hjic-126	102	13	outliers	outlier	NOUN
hjic-126	102	14	than	than	ADP
hjic-126	102	15	the	the	DET
hjic-126	102	16	quadratic	quadratic	ADJ
hjic-126	102	17	loss	loss	NOUN
hjic-126	102	18	function	function	NOUN
hjic-126	102	19	.	.	PUNCT
hjic-126	103	1	huber	huber	PROPN
hjic-126	103	2	proposed	propose	VERB
hjic-126	103	3	the	the	DET
hjic-126	103	4	loss	loss	NOUN
hjic-126	103	5	function	function	NOUN
hjic-126	103	6	in	in	ADP
hjic-126	103	7	fig	fig	NOUN
hjic-126	103	8	.	.	PUNCT
hjic-126	104	1	1(c	1(c	NUM
hjic-126	104	2	)	)	PUNCT
hjic-126	104	3	as	as	ADP
hjic-126	104	4	a	a	DET
hjic-126	104	5	robust	robust	ADJ
hjic-126	104	6	loss	loss	NOUN
hjic-126	104	7	function	function	NOUN
hjic-126	104	8	that	that	PRON
hjic-126	104	9	has	have	VERB
hjic-126	104	10	optimal	optimal	ADJ
hjic-126	104	11	properties	property	NOUN
hjic-126	104	12	when	when	SCONJ
hjic-126	104	13	the	the	DET
hjic-126	104	14	underlying	underlie	VERB
hjic-126	104	15	distribution	distribution	NOUN
hjic-126	104	16	of	of	ADP
hjic-126	104	17	the	the	DET
hjic-126	104	18	data	data	NOUN
hjic-126	104	19	is	be	AUX
hjic-126	104	20	unknown	unknown	ADJ
hjic-126	104	21	.	.	PUNCT
hjic-126	105	1	these	these	DET
hjic-126	105	2	three	three	NUM
hjic-126	105	3	loss	loss	NOUN
hjic-126	105	4	functions	function	NOUN
hjic-126	105	5	will	will	AUX
hjic-126	105	6	produce	produce	VERB
hjic-126	105	7	no	no	DET
hjic-126	105	8	sparseness	sparseness	ADJ
hjic-126	105	9	in	in	ADP
hjic-126	105	10	the	the	DET
hjic-126	105	11	support	support	NOUN
hjic-126	105	12	vectors	vector	NOUN
hjic-126	105	13	.	.	PUNCT
hjic-126	106	1	to	to	PART
hjic-126	106	2	address	address	VERB
hjic-126	106	3	this	this	DET
hjic-126	106	4	issue	issue	NOUN
hjic-126	106	5	vapnik	vapnik	NOUN
hjic-126	106	6	proposed	propose	VERB
hjic-126	106	7	the	the	DET
hjic-126	106	8	loss	loss	NOUN
hjic-126	106	9	function	function	NOUN
hjic-126	106	10	,	,	PUNCT
hjic-126	106	11	also	also	ADV
hjic-126	106	12	called	call	VERB
hjic-126	106	13	ε	ε	NOUN
hjic-126	106	14	-	-	PUNCT
hjic-126	106	15	insensitive	insensitive	ADJ
hjic-126	106	16	loss	loss	NOUN
hjic-126	106	17	function	function	NOUN
hjic-126	106	18	in	in	ADP
hjic-126	106	19	fig	fig	NOUN
hjic-126	106	20	.	.	PUNCT
hjic-126	107	1	1(d	1(d	NUM
hjic-126	107	2	)	)	PUNCT
hjic-126	107	3	as	as	ADP
hjic-126	107	4	an	an	DET
hjic-126	107	5	approximation	approximation	NOUN
hjic-126	107	6	to	to	ADP
hjic-126	107	7	huber	huber	PROPN
hjic-126	107	8	’s	’s	PART
hjic-126	107	9	loss	loss	NOUN
hjic-126	107	10	function	function	NOUN
hjic-126	107	11	that	that	PRON
hjic-126	107	12	enables	enable	VERB
hjic-126	107	13	a	a	DET
hjic-126	107	14	sparse	sparse	ADJ
hjic-126	107	15	set	set	NOUN
hjic-126	107	16	of	of	ADP
hjic-126	107	17	support	support	NOUN
hjic-126	107	18	vectors	vector	NOUN
hjic-126	107	19	to	to	PART
hjic-126	107	20	be	be	AUX
hjic-126	107	21	obtained	obtain	VERB
hjic-126	107	22	[	[	PUNCT
hjic-126	107	23	11	11	NUM
hjic-126	107	24	]	]	PUNCT
hjic-126	107	25	.	.	PUNCT
hjic-126	108	1	the	the	DET
hjic-126	108	2	nonlinear	nonlinear	ADJ
hjic-126	108	3	svr	svr	PROPN
hjic-126	108	4	problems	problem	NOUN
hjic-126	108	5	with	with	ADP
hjic-126	108	6	the	the	DET
hjic-126	108	7	ε	ε	PROPN
hjic-126	108	8	-	-	PUNCT
hjic-126	108	9	insensitive	insensitive	ADJ
hjic-126	108	10	loss	loss	NOUN
hjic-126	108	11	function	function	NOUN
hjic-126	108	12	(	(	PUNCT
hjic-126	108	13	fig	fig	NOUN
hjic-126	108	14	.	.	PUNCT
hjic-126	108	15	1(d	1(d	NUM
hjic-126	108	16	)	)	PUNCT
hjic-126	108	17	)	)	PUNCT
hjic-126	108	18	is	be	AUX
hjic-126	108	19	given	give	VERB
hjic-126	108	20	by	by	ADP
hjic-126	108	21	:	:	PUNCT
hjic-126	108	22	a	a	DET
hjic-126	108	23	b	b	NOUN
hjic-126	108	24	c	c	NOUN
hjic-126	108	25	d	d	SYM
hjic-126	108	26	104	104	NUM
hjic-126	108	27	(	(	PUNCT
hjic-126	108	28	)	)	PUNCT
hjic-126	108	29	(	(	PUNCT
hjic-126	108	30	)	)	PUNCT
hjic-126	108	31	(	(	PUNCT
hjic-126	108	32	)	)	PUNCT
hjic-126	108	33	(	(	PUNCT
hjic-126	108	34	)	)	PUNCT
hjic-126	108	35	[	[	PUNCT
hjic-126	108	36	]	]	X
hjic-126	108	37	cand	cand	PROPN
hjic-126	108	38	tosubject	tosubject	PROPN
hjic-126	108	39	y	y	PROPN
hjic-126	108	40	xxk	xxk	PROPN
hjic-126	108	41	maximize	maximize	VERB
hjic-126	108	42	ji	ji	PROPN
hjic-126	109	1	n	n	PROPN
hjic-126	109	2	i	i	PRON
hjic-126	109	3	ii	ii	VERB
hjic-126	110	1	n	n	ADV
hjic-126	110	2	i	i	NOUN
hjic-126	110	3	iii	iii	VERB
hjic-126	111	1	n	n	VERB
hjic-126	112	1	i	i	PRON
hjic-126	112	2	ii	ii	VERB
hjic-126	112	3	n	n	INTJ
hjic-126	113	1	ji	ji	X
hjic-126	113	2	jijjii	jijjii	PROPN
hjic-126	114	1	d	d	X
hjic-126	114	2	dd	dd	PROPN
hjic-126	115	1	d	d	NOUN
hjic-126	115	2	,	,	PUNCT
hjic-126	115	3	0	0	NUM
hjic-126	115	4	0	0	NUM
hjic-126	115	5	,	,	PUNCT
hjic-126	115	6	)	)	PUNCT
hjic-126	115	7	)	)	PUNCT
hjic-126	115	8	(	(	PUNCT
hjic-126	115	9	(	(	PUNCT
hjic-126	115	10	2	2	NUM
hjic-126	115	11	1	1	NUM
hjic-126	115	12	,	,	PUNCT
hjic-126	115	13	1	1	NUM
hjic-126	115	14	11	11	NUM
hjic-126	115	15	1	1	NUM
hjic-126	115	16	,	,	PUNCT
hjic-126	115	17	∈	∈	PROPN
hjic-126	115	18	=	=	NOUN
hjic-126	115	19	−	−	PROPN
hjic-126	115	20	⎪	⎪	NOUN
hjic-126	115	21	⎪	⎪	NOUN
hjic-126	115	22	⎩	⎩	NUM
hjic-126	116	1	⎪⎪	⎪⎪	PROPN
hjic-126	116	2	⎨	⎨	ADJ
hjic-126	116	3	⎧	⎧	PROPN
hjic-126	116	4	−++−	−++−	PROPN
hjic-126	116	5	−−−	−−−	AUX
hjic-126	116	6	∑	∑	PUNCT
hjic-126	116	7	∑∑	∑∑	PROPN
hjic-126	116	8	∑	∑	PUNCT
hjic-126	116	9	=	=	NOUN
hjic-126	116	10	∗	∗	NOUN
hjic-126	116	11	=	=	SYM
hjic-126	116	12	∗	∗	NOUN
hjic-126	116	13	=	=	SYM
hjic-126	116	14	∗	∗	NOUN
hjic-126	116	15	=	=	PUNCT
hjic-126	117	1	∗∗	∗∗	PROPN
hjic-126	117	2	αα	αα	ADP
hjic-126	117	3	αα	αα	NOUN
hjic-126	117	4	ααααε	ααααε	ADJ
hjic-126	117	5	αααα	αααα	NOUN
hjic-126	117	6	(	(	PUNCT
hjic-126	117	7	8)	8)	NUM
hjic-126	117	8	where	where	SCONJ
hjic-126	117	9	α	α	PROPN
hjic-126	117	10	is	be	AUX
hjic-126	117	11	the	the	DET
hjic-126	117	12	lagrange	lagrange	NOUN
hjic-126	117	13	multiplier	multiplier	ADV
hjic-126	117	14	(	(	PUNCT
hjic-126	117	15	α	α	X
hjic-126	117	16	*	*	ADJ
hjic-126	117	17	is	be	AUX
hjic-126	117	18	the	the	DET
hjic-126	117	19	dual	dual	ADJ
hjic-126	117	20	variable	variable	NOUN
hjic-126	117	21	)	)	PUNCT
hjic-126	117	22	;	;	PUNCT
hjic-126	117	23	the	the	DET
hjic-126	117	24	kernel	kernel	PROPN
hjic-126	117	25	function	function	VERB
hjic-126	117	26	k	k	PROPN
hjic-126	117	27	;	;	PUNCT
hjic-126	117	28	c	c	X
hjic-126	117	29	>	>	X
hjic-126	117	30	0	0	PUNCT
hjic-126	117	31	represents	represent	VERB
hjic-126	117	32	the	the	DET
hjic-126	117	33	trade	trade	NOUN
hjic-126	117	34	-	-	PUNCT
hjic-126	117	35	off	off	NOUN
hjic-126	117	36	between	between	ADP
hjic-126	117	37	the	the	DET
hjic-126	117	38	flatness	flatness	NOUN
hjic-126	117	39	of	of	ADP
hjic-126	117	40	f	f	PROPN
hjic-126	117	41	and	and	CCONJ
hjic-126	117	42	the	the	DET
hjic-126	117	43	deviation	deviation	NOUN
hjic-126	117	44	tolerance	tolerance	NOUN
hjic-126	117	45	.	.	PUNCT
hjic-126	118	1	we	we	PRON
hjic-126	118	2	can	can	AUX
hjic-126	118	3	rewrite	rewrite	VERB
hjic-126	118	4	the	the	DET
hjic-126	118	5	equation	equation	NOUN
hjic-126	118	6	above	above	ADV
hjic-126	118	7	to	to	PART
hjic-126	118	8	formulate	formulate	VERB
hjic-126	118	9	the	the	DET
hjic-126	118	10	so	so	ADV
hjic-126	118	11	called	call	VERB
hjic-126	118	12	support	support	NOUN
hjic-126	118	13	vector	vector	NOUN
hjic-126	118	14	expansion	expansion	NOUN
hjic-126	118	15	:	:	PUNCT
hjic-126	118	16	(	(	PUNCT
hjic-126	118	17	)	)	PUNCT
hjic-126	118	18	(	(	PUNCT
hjic-126	118	19	)	)	PUNCT
hjic-126	118	20	∑	∑	PUNCT
hjic-126	118	21	=	=	NOUN
hjic-126	118	22	∗	∗	NOUN
hjic-126	118	23	+	+	PROPN
hjic-126	118	24	−=	−=	NOUN
hjic-126	118	25	dn	dn	ADP
hjic-126	118	26	i	i	NOUN
hjic-126	119	1	iii	iii	NUM
hjic-126	119	2	bxxkxf	bxxkxf	ADV
hjic-126	119	3	1	1	NUM
hjic-126	119	4	,	,	PUNCT
hjic-126	119	5	)	)	PUNCT
hjic-126	119	6	(	(	PUNCT
hjic-126	119	7	αα	αα	ADP
hjic-126	119	8	where	where	SCONJ
hjic-126	119	9	(	(	PUNCT
hjic-126	119	10	)	)	PUNCT
hjic-126	119	11	(	(	PUNCT
hjic-126	119	12	)	)	PUNCT
hjic-126	119	13	∑	∑	PUNCT
hjic-126	119	14	=	=	SYM
hjic-126	120	1	∗−=	∗−=	ADJ
hjic-126	120	2	dn	dn	VERB
hjic-126	120	3	i	i	PROPN
hjic-126	120	4	iii	iii	PROPN
hjic-126	120	5	xz	xz	PROPN
hjic-126	120	6	1	1	NUM
hjic-126	120	7	φαα	φαα	NOUN
hjic-126	120	8	(	(	PUNCT
hjic-126	120	9	9	9	X
hjic-126	120	10	)	)	PUNCT
hjic-126	120	11	formulation	formulation	NOUN
hjic-126	120	12	of	of	ADP
hjic-126	120	13	the	the	DET
hjic-126	120	14	fuzzy	fuzzy	ADJ
hjic-126	120	15	regression	regression	NOUN
hjic-126	120	16	model	model	NOUN
hjic-126	120	17	based	base	VERB
hjic-126	120	18	on	on	ADP
hjic-126	120	19	support	support	NOUN
hjic-126	120	20	vector	vector	NOUN
hjic-126	120	21	regression	regression	NOUN
hjic-126	120	22	the	the	DET
hjic-126	120	23	link	link	NOUN
hjic-126	120	24	between	between	ADP
hjic-126	120	25	support	support	NOUN
hjic-126	120	26	vector	vector	NOUN
hjic-126	120	27	based	base	VERB
hjic-126	120	28	techniques	technique	NOUN
hjic-126	120	29	and	and	CCONJ
hjic-126	120	30	fuzzy	fuzzy	ADJ
hjic-126	120	31	models	model	NOUN
hjic-126	120	32	is	be	AUX
hjic-126	120	33	established	establish	VERB
hjic-126	120	34	in	in	ADP
hjic-126	120	35	the	the	DET
hjic-126	120	36	earlier	early	ADJ
hjic-126	120	37	sections	section	NOUN
hjic-126	120	38	through	through	ADP
hjic-126	120	39	equations	equation	NOUN
hjic-126	120	40	1	1	NUM
hjic-126	120	41	-	-	SYM
hjic-126	120	42	6	6	NUM
hjic-126	120	43	.	.	PUNCT
hjic-126	120	44	to	to	PART
hjic-126	120	45	get	get	VERB
hjic-126	120	46	a	a	DET
hjic-126	120	47	fuzzy	fuzzy	ADJ
hjic-126	120	48	-	-	PUNCT
hjic-126	120	49	rule	rule	NOUN
hjic-126	120	50	based	base	VERB
hjic-126	120	51	regression	regression	NOUN
hjic-126	120	52	model	model	NOUN
hjic-126	120	53	from	from	ADP
hjic-126	120	54	the	the	DET
hjic-126	120	55	support	support	NOUN
hjic-126	120	56	vector	vector	NOUN
hjic-126	120	57	regression	regression	NOUN
hjic-126	120	58	model	model	NOUN
hjic-126	120	59	the	the	DET
hjic-126	120	60	following	follow	VERB
hjic-126	120	61	interpretation	interpretation	NOUN
hjic-126	120	62	is	be	AUX
hjic-126	120	63	needed	need	VERB
hjic-126	120	64	:	:	PUNCT
hjic-126	120	65	(	(	PUNCT
hjic-126	120	66	)	)	PUNCT
hjic-126	120	67	bxy	bxy	NOUN
hjic-126	120	68	i	i	PRON
hjic-126	121	1	n	n	VERB
hjic-126	122	1	i	i	PRON
hjic-126	122	2	i	i	VERB
hjic-126	123	1	r	r	VERB
hjic-126	123	2	+	+	NOUN
hjic-126	123	3	=	=	NOUN
hjic-126	123	4	∑	∑	SYM
hjic-126	123	5	=	=	SYM
hjic-126	123	6	δβ	δβ	NOUN
hjic-126	123	7	1	1	NUM
hjic-126	123	8	(	(	PUNCT
hjic-126	123	9	10	10	NUM
hjic-126	123	10	)	)	PUNCT
hjic-126	123	11	where	where	SCONJ
hjic-126	123	12	βi	βi	PRON
hjic-126	123	13	is	be	AUX
hjic-126	123	14	the	the	DET
hjic-126	123	15	firing	firing	NOUN
hjic-126	123	16	strength	strength	NOUN
hjic-126	123	17	and	and	CCONJ
hjic-126	123	18	δi	δi	PROPN
hjic-126	123	19	is	be	AUX
hjic-126	123	20	the	the	DET
hjic-126	123	21	rule	rule	NOUN
hjic-126	123	22	consequent	consequent	NOUN
hjic-126	123	23	.	.	PUNCT
hjic-126	124	1	reduction	reduction	NOUN
hjic-126	124	2	of	of	ADP
hjic-126	124	3	the	the	DET
hjic-126	124	4	number	number	NOUN
hjic-126	124	5	of	of	ADP
hjic-126	124	6	fuzzy	fuzzy	ADJ
hjic-126	124	7	sets	set	NOUN
hjic-126	124	8	in	in	ADP
hjic-126	124	9	the	the	DET
hjic-126	124	10	previous	previous	ADJ
hjic-126	124	11	section	section	NOUN
hjic-126	124	12	,	,	PUNCT
hjic-126	124	13	it	it	PRON
hjic-126	124	14	has	have	AUX
hjic-126	124	15	been	be	AUX
hjic-126	124	16	shown	show	VERB
hjic-126	124	17	how	how	SCONJ
hjic-126	124	18	kernelbased	kernelbase	VERB
hjic-126	124	19	models	model	NOUN
hjic-126	124	20	with	with	ADP
hjic-126	124	21	a	a	DET
hjic-126	124	22	given	give	VERB
hjic-126	124	23	number	number	NOUN
hjic-126	124	24	of	of	ADP
hjic-126	124	25	kernel	kernel	PROPN
hjic-126	124	26	functions	function	NOUN
hjic-126	124	27	nr	nr	PROPN
hjic-126	124	28	,	,	PUNCT
hjic-126	124	29	can	can	AUX
hjic-126	124	30	be	be	AUX
hjic-126	124	31	obtained	obtain	VERB
hjic-126	124	32	.	.	PUNCT
hjic-126	125	1	because	because	SCONJ
hjic-126	125	2	the	the	DET
hjic-126	125	3	number	number	NOUN
hjic-126	125	4	of	of	ADP
hjic-126	125	5	the	the	DET
hjic-126	125	6	rules	rule	NOUN
hjic-126	125	7	in	in	ADP
hjic-126	125	8	the	the	DET
hjic-126	125	9	transformed	transform	VERB
hjic-126	125	10	fuzzy	fuzzy	ADJ
hjic-126	125	11	system	system	NOUN
hjic-126	125	12	is	be	AUX
hjic-126	125	13	identical	identical	ADJ
hjic-126	125	14	to	to	ADP
hjic-126	125	15	the	the	DET
hjic-126	125	16	number	number	NOUN
hjic-126	125	17	of	of	ADP
hjic-126	125	18	kernels	kernel	NOUN
hjic-126	125	19	,	,	PUNCT
hjic-126	125	20	it	it	PRON
hjic-126	125	21	is	be	AUX
hjic-126	125	22	extremely	extremely	ADV
hjic-126	125	23	important	important	ADJ
hjic-126	125	24	to	to	PART
hjic-126	125	25	get	get	VERB
hjic-126	125	26	a	a	DET
hjic-126	125	27	moderate	moderate	ADJ
hjic-126	125	28	number	number	NOUN
hjic-126	125	29	of	of	ADP
hjic-126	125	30	kernels	kernel	NOUN
hjic-126	125	31	in	in	ADP
hjic-126	125	32	order	order	NOUN
hjic-126	125	33	to	to	PART
hjic-126	125	34	obtain	obtain	VERB
hjic-126	125	35	a	a	DET
hjic-126	125	36	compact	compact	ADJ
hjic-126	125	37	fuzzy	fuzzy	ADJ
hjic-126	125	38	rule	rule	NOUN
hjic-126	125	39	-	-	PUNCT
hjic-126	125	40	based	base	VERB
hjic-126	125	41	model	model	NOUN
hjic-126	125	42	.	.	PUNCT
hjic-126	126	1	from	from	ADP
hjic-126	126	2	(	(	PUNCT
hjic-126	126	3	6	6	NUM
hjic-126	126	4	)	)	PUNCT
hjic-126	126	5	it	it	PRON
hjic-126	126	6	can	can	AUX
hjic-126	126	7	be	be	AUX
hjic-126	126	8	seen	see	VERB
hjic-126	126	9	that	that	SCONJ
hjic-126	126	10	the	the	DET
hjic-126	126	11	number	number	NOUN
hjic-126	126	12	of	of	ADP
hjic-126	126	13	fuzzy	fuzzy	ADJ
hjic-126	126	14	sets	set	NOUN
hjic-126	126	15	in	in	ADP
hjic-126	126	16	the	the	DET
hjic-126	126	17	identified	identify	VERB
hjic-126	126	18	model	model	NOUN
hjic-126	126	19	is	be	AUX
hjic-126	126	20	ns	ns	PROPN
hjic-126	126	21	=	=	PROPN
hjic-126	126	22	nr	nr	PROPN
hjic-126	126	23	·	·	PUNCT
hjic-126	126	24	ni	ni	PROPN
hjic-126	126	25	.	.	PUNCT
hjic-126	127	1	the	the	DET
hjic-126	127	2	interpretability	interpretability	NOUN
hjic-126	127	3	of	of	ADP
hjic-126	127	4	a	a	DET
hjic-126	127	5	fuzzy	fuzzy	ADJ
hjic-126	127	6	model	model	NOUN
hjic-126	127	7	highly	highly	ADV
hjic-126	127	8	depends	depend	VERB
hjic-126	127	9	on	on	ADP
hjic-126	127	10	the	the	DET
hjic-126	127	11	distribution	distribution	NOUN
hjic-126	127	12	of	of	ADP
hjic-126	127	13	these	these	DET
hjic-126	127	14	membership	membership	NOUN
hjic-126	127	15	functions	function	NOUN
hjic-126	127	16	.	.	PUNCT
hjic-126	128	1	with	with	ADP
hjic-126	128	2	the	the	DET
hjic-126	128	3	simple	simple	ADJ
hjic-126	128	4	use	use	NOUN
hjic-126	128	5	of	of	ADP
hjic-126	128	6	(	(	PUNCT
hjic-126	128	7	6	6	NUM
hjic-126	128	8	)	)	PUNCT
hjic-126	128	9	,	,	PUNCT
hjic-126	128	10	some	some	PRON
hjic-126	128	11	of	of	ADP
hjic-126	128	12	the	the	DET
hjic-126	128	13	membership	membership	NOUN
hjic-126	128	14	functions	function	NOUN
hjic-126	128	15	may	may	AUX
hjic-126	128	16	appear	appear	VERB
hjic-126	128	17	almost	almost	ADV
hjic-126	128	18	undistinguishable	undistinguishable	ADJ
hjic-126	128	19	.	.	PUNCT
hjic-126	129	1	merging	merge	VERB
hjic-126	129	2	similar	similar	ADJ
hjic-126	129	3	fuzzy	fuzzy	ADJ
hjic-126	129	4	sets	set	NOUN
hjic-126	129	5	reduces	reduce	VERB
hjic-126	129	6	the	the	DET
hjic-126	129	7	number	number	NOUN
hjic-126	129	8	of	of	ADP
hjic-126	129	9	linguistic	linguistic	ADJ
hjic-126	129	10	terms	term	NOUN
hjic-126	129	11	used	use	VERB
hjic-126	129	12	in	in	ADP
hjic-126	129	13	the	the	DET
hjic-126	129	14	model	model	NOUN
hjic-126	129	15	and	and	CCONJ
hjic-126	129	16	thereby	thereby	ADV
hjic-126	129	17	increases	increase	VERB
hjic-126	129	18	the	the	DET
hjic-126	129	19	transparency	transparency	NOUN
hjic-126	129	20	of	of	ADP
hjic-126	129	21	the	the	DET
hjic-126	129	22	model	model	NOUN
hjic-126	129	23	.	.	PUNCT
hjic-126	130	1	this	this	DET
hjic-126	130	2	reduction	reduction	NOUN
hjic-126	130	3	is	be	AUX
hjic-126	130	4	achieved	achieve	VERB
hjic-126	130	5	by	by	ADP
hjic-126	130	6	a	a	DET
hjic-126	130	7	rule	rule	NOUN
hjic-126	130	8	-	-	PUNCT
hjic-126	130	9	base	base	NOUN
hjic-126	130	10	simplification	simplification	NOUN
hjic-126	130	11	method	method	NOUN
hjic-126	130	12	[	[	X
hjic-126	130	13	12	12	NUM
hjic-126	130	14	,	,	PUNCT
hjic-126	130	15	13	13	NUM
hjic-126	130	16	]	]	PUNCT
hjic-126	130	17	,	,	PUNCT
hjic-126	130	18	based	base	VERB
hjic-126	130	19	on	on	ADP
hjic-126	130	20	a	a	DET
hjic-126	130	21	similarity	similarity	NOUN
hjic-126	130	22	measure	measure	NOUN
hjic-126	130	23	s(aij	s(aij	PROPN
hjic-126	130	24	,	,	PUNCT
hjic-126	130	25	akj	akj	ADJ
hjic-126	130	26	)	)	PUNCT
hjic-126	130	27	,	,	PUNCT
hjic-126	130	28	i	i	PRON
hjic-126	130	29	,	,	PUNCT
hjic-126	130	30	k	k	PROPN
hjic-126	130	31	,	,	PUNCT
hjic-126	130	32	=	=	NOUN
hjic-126	130	33	1	1	NUM
hjic-126	130	34	,	,	PUNCT
hjic-126	130	35	...	...	PUNCT
hjic-126	130	36	,	,	PUNCT
hjic-126	130	37	n	n	CCONJ
hjic-126	130	38	;	;	PUNCT
hjic-126	130	39	and	and	CCONJ
hjic-126	130	40	i≠j	i≠j	NOUN
hjic-126	130	41	.	.	PUNCT
hjic-126	131	1	if	if	SCONJ
hjic-126	131	2	s(aij	s(aij	PROPN
hjic-126	131	3	,	,	PUNCT
hjic-126	131	4	akj	akj	ADJ
hjic-126	131	5	)	)	PUNCT
hjic-126	131	6	=	=	SYM
hjic-126	131	7	1	1	NUM
hjic-126	131	8	,	,	PUNCT
hjic-126	131	9	then	then	ADV
hjic-126	131	10	the	the	DET
hjic-126	131	11	two	two	NUM
hjic-126	131	12	membership	membership	NOUN
hjic-126	131	13	functions	function	NOUN
hjic-126	131	14	aij	aij	PROPN
hjic-126	131	15	and	and	CCONJ
hjic-126	131	16	akj	akj	PROPN
hjic-126	131	17	are	be	AUX
hjic-126	131	18	equal	equal	ADJ
hjic-126	131	19	.	.	PUNCT
hjic-126	132	1	s(aij	s(aij	NOUN
hjic-126	132	2	,	,	PUNCT
hjic-126	132	3	akj	akj	ADJ
hjic-126	132	4	)	)	PUNCT
hjic-126	132	5	becomes	become	VERB
hjic-126	132	6	0	0	NUM
hjic-126	132	7	when	when	SCONJ
hjic-126	132	8	the	the	DET
hjic-126	132	9	membership	membership	NOUN
hjic-126	132	10	functions	function	NOUN
hjic-126	132	11	are	be	AUX
hjic-126	132	12	non	non	ADJ
hjic-126	132	13	-	-	ADJ
hjic-126	132	14	overlapping	overlapping	ADJ
hjic-126	132	15	.	.	PUNCT
hjic-126	133	1	during	during	ADP
hjic-126	133	2	the	the	DET
hjic-126	133	3	rule	rule	NOUN
hjic-126	133	4	-	-	PUNCT
hjic-126	133	5	base	base	NOUN
hjic-126	133	6	simplification	simplification	NOUN
hjic-126	133	7	procedure	procedure	NOUN
hjic-126	133	8	similar	similar	ADJ
hjic-126	133	9	fuzzy	fuzzy	ADJ
hjic-126	133	10	sets	set	NOUN
hjic-126	133	11	are	be	AUX
hjic-126	133	12	merged	merge	VERB
hjic-126	133	13	when	when	SCONJ
hjic-126	133	14	their	their	PRON
hjic-126	133	15	similarity	similarity	NOUN
hjic-126	133	16	exceeds	exceed	VERB
hjic-126	133	17	a	a	DET
hjic-126	133	18	user	user	NOUN
hjic-126	133	19	-	-	PUNCT
hjic-126	133	20	defined	define	VERB
hjic-126	133	21	threshold	threshold	NOUN
hjic-126	133	22	θ	θ	PROPN
hjic-126	133	23	∈	∈	PROPN
hjic-126	134	1	[	[	X
hjic-126	134	2	0	0	NUM
hjic-126	134	3	,	,	PUNCT
hjic-126	134	4	1	1	NUM
hjic-126	134	5	]	]	PUNCT
hjic-126	134	6	.	.	PUNCT
hjic-126	135	1	the	the	DET
hjic-126	135	2	set	set	VERB
hjic-126	135	3	-	-	PUNCT
hjic-126	135	4	similarity	similarity	NOUN
hjic-126	135	5	measure	measure	NOUN
hjic-126	135	6	can	can	AUX
hjic-126	135	7	be	be	AUX
hjic-126	135	8	based	base	VERB
hjic-126	135	9	on	on	ADP
hjic-126	135	10	the	the	DET
hjic-126	135	11	settheoretic	settheoretic	ADJ
hjic-126	135	12	operations	operation	NOUN
hjic-126	135	13	of	of	ADP
hjic-126	135	14	intersection	intersection	NOUN
hjic-126	135	15	and	and	CCONJ
hjic-126	135	16	union	union	NOUN
hjic-126	136	1	[	[	X
hjic-126	136	2	12	12	NUM
hjic-126	136	3	]	]	X
hjic-126	136	4	:	:	PUNCT
hjic-126	136	5	(	(	PUNCT
hjic-126	136	6	)	)	PUNCT
hjic-126	136	7	kjij	kjij	ADJ
hjic-126	136	8	kjij	kjij	ADJ
hjic-126	136	9	kjij	kjij	PROPN
hjic-126	136	10	aa	aa	PROPN
hjic-126	137	1	aa	aa	PROPN
hjic-126	137	2	aas	aas	PROPN
hjic-126	137	3	∪	∪	ADJ
hjic-126	137	4	∩	∩	NOUN
hjic-126	137	5	=	=	NOUN
hjic-126	137	6	,	,	PUNCT
hjic-126	137	7	(	(	PUNCT
hjic-126	137	8	11	11	NUM
hjic-126	137	9	)	)	PUNCT
hjic-126	137	10	where	where	SCONJ
hjic-126	137	11	|·|	|·|	NOUN
hjic-126	137	12	denotes	denote	VERB
hjic-126	137	13	the	the	DET
hjic-126	137	14	cardinality	cardinality	NOUN
hjic-126	137	15	of	of	ADP
hjic-126	137	16	a	a	DET
hjic-126	137	17	set	set	NOUN
hjic-126	137	18	,	,	PUNCT
hjic-126	137	19	and	and	CCONJ
hjic-126	137	20	the	the	DET
hjic-126	137	21	∩	∩	NOUN
hjic-126	137	22	and	and	CCONJ
hjic-126	137	23	∪	∪	ADJ
hjic-126	137	24	operators	operator	NOUN
hjic-126	137	25	represent	represent	VERB
hjic-126	137	26	the	the	DET
hjic-126	137	27	intersection	intersection	NOUN
hjic-126	137	28	and	and	CCONJ
hjic-126	137	29	union	union	NOUN
hjic-126	137	30	,	,	PUNCT
hjic-126	137	31	respectively	respectively	ADV
hjic-126	137	32	,	,	PUNCT
hjic-126	137	33	or	or	CCONJ
hjic-126	137	34	it	it	PRON
hjic-126	137	35	can	can	AUX
hjic-126	137	36	be	be	AUX
hjic-126	137	37	based	base	VERB
hjic-126	137	38	on	on	ADP
hjic-126	137	39	the	the	DET
hjic-126	137	40	distance	distance	NOUN
hjic-126	137	41	of	of	ADP
hjic-126	137	42	the	the	DET
hjic-126	137	43	two	two	NUM
hjic-126	137	44	fuzzy	fuzzy	ADJ
hjic-126	137	45	sets	set	NOUN
hjic-126	137	46	.	.	PUNCT
hjic-126	138	1	here	here	ADV
hjic-126	138	2	,	,	PUNCT
hjic-126	138	3	the	the	DET
hjic-126	138	4	following	follow	VERB
hjic-126	138	5	expression	expression	NOUN
hjic-126	138	6	was	be	AUX
hjic-126	138	7	used	use	VERB
hjic-126	138	8	to	to	PART
hjic-126	138	9	approximate	approximate	VERB
hjic-126	138	10	the	the	DET
hjic-126	138	11	similarity	similarity	NOUN
hjic-126	138	12	between	between	ADP
hjic-126	138	13	two	two	NUM
hjic-126	138	14	gaussian	gaussian	ADJ
hjic-126	138	15	fuzzy	fuzzy	ADJ
hjic-126	138	16	sets	set	NOUN
hjic-126	138	17	[	[	X
hjic-126	138	18	13	13	NUM
hjic-126	138	19	]	]	NUM
hjic-126	138	20	:	:	PUNCT
hjic-126	138	21	(	(	PUNCT
hjic-126	138	22	)	)	PUNCT
hjic-126	138	23	(	(	PUNCT
hjic-126	138	24	)	)	PUNCT
hjic-126	138	25	(	(	PUNCT
hjic-126	138	26	)	)	PUNCT
hjic-126	138	27	(	(	PUNCT
hjic-126	138	28	)	)	PUNCT
hjic-126	138	29	221	221	NUM
hjic-126	138	30	1	1	NUM
hjic-126	138	31	,	,	PUNCT
hjic-126	138	32	1	1	NUM
hjic-126	138	33	1	1	NUM
hjic-126	138	34	,	,	PUNCT
hjic-126	138	35	kjijkjijkjij	kjijkjijkjij	VERB
hjic-126	138	36	kjij	kjij	ADJ
hjic-126	138	37	zzaad	zzaad	PROPN
hjic-126	138	38	aas	aas	NOUN
hjic-126	139	1	σσ	σσ	ADP
hjic-126	139	2	−+−+	−+−+	PROPN
hjic-126	140	1	=	=	PUNCT
hjic-126	141	1	+	+	PUNCT
hjic-126	141	2	=	=	SYM
hjic-126	141	3	(	(	PUNCT
hjic-126	141	4	12	12	NUM
hjic-126	141	5	)	)	PUNCT
hjic-126	141	6	reduction	reduction	NOUN
hjic-126	141	7	of	of	ADP
hjic-126	141	8	the	the	DET
hjic-126	141	9	number	number	NOUN
hjic-126	141	10	of	of	ADP
hjic-126	141	11	rules	rule	NOUN
hjic-126	141	12	by	by	ADP
hjic-126	141	13	orthogonal	orthogonal	ADJ
hjic-126	141	14	transforms	transform	NOUN
hjic-126	141	15	by	by	ADP
hjic-126	141	16	using	use	VERB
hjic-126	141	17	the	the	DET
hjic-126	141	18	previously	previously	ADV
hjic-126	141	19	presented	present	VERB
hjic-126	141	20	sv	sv	PROPN
hjic-126	141	21	model	model	PROPN
hjic-126	141	22	identification	identification	NOUN
hjic-126	141	23	and	and	CCONJ
hjic-126	141	24	reduction	reduction	NOUN
hjic-126	141	25	techniques	technique	NOUN
hjic-126	141	26	,	,	PUNCT
hjic-126	141	27	the	the	DET
hjic-126	141	28	following	follow	VERB
hjic-126	141	29	fuzzy	fuzzy	ADJ
hjic-126	141	30	rule	rule	NOUN
hjic-126	141	31	-	-	PUNCT
hjic-126	141	32	based	base	VERB
hjic-126	141	33	models	model	NOUN
hjic-126	141	34	have	have	AUX
hjic-126	141	35	been	be	AUX
hjic-126	141	36	identified	identify	VERB
hjic-126	141	37	.	.	PUNCT
hjic-126	142	1	for	for	ADP
hjic-126	142	2	classification	classification	NOUN
hjic-126	142	3	:	:	PUNCT
hjic-126	142	4	(	(	PUNCT
hjic-126	142	5	)	)	PUNCT
hjic-126	142	6	⎟	⎟	X
hjic-126	142	7	⎟	⎟	X
hjic-126	142	8	⎠	⎠	PUNCT
hjic-126	142	9	⎞	⎞	PROPN
hjic-126	142	10	⎜	⎜	PROPN
hjic-126	142	11	⎜	⎜	PROPN
hjic-126	142	12	⎝	⎝	PUNCT
hjic-126	142	13	⎛	⎛	NOUN
hjic-126	143	1	+	+	CCONJ
hjic-126	143	2	⎟	⎟	X
hjic-126	143	3	⎟	⎟	X
hjic-126	143	4	⎠	⎠	PUNCT
hjic-126	143	5	⎞	⎞	PROPN
hjic-126	143	6	⎜	⎜	PROPN
hjic-126	143	7	⎜	⎜	PROPN
hjic-126	143	8	⎝	⎝	PUNCT
hjic-126	143	9	⎛	⎛	NOUN
hjic-126	143	10	−	−	NOUN
hjic-126	143	11	=	=	SYM
hjic-126	143	12	∑∏	∑∏	NOUN
hjic-126	143	13	=	=	PUNCT
hjic-126	144	1	=	=	SYM
hjic-126	144	2	b	b	PROPN
hjic-126	144	3	zx	zx	NUM
hjic-126	144	4	y	y	PROPN
hjic-126	145	1	i	i	PRON
hjic-126	146	1	n	n	VERB
hjic-126	147	1	i	i	PRON
hjic-126	147	2	n	n	CCONJ
hjic-126	147	3	j	j	PROPN
hjic-126	147	4	ijjr	ijjr	NOUN
hjic-126	147	5	i	i	PROPN
hjic-126	147	6	δ	δ	PROPN
hjic-126	148	1	σ1	σ1	NOUN
hjic-126	148	2	1	1	NUM
hjic-126	148	3	2	2	NUM
hjic-126	148	4	2	2	NUM
hjic-126	148	5	2	2	NUM
hjic-126	148	6	expsgn	expsgn	NOUN
hjic-126	148	7	(	(	PUNCT
hjic-126	148	8	13	13	NUM
hjic-126	148	9	)	)	PUNCT
hjic-126	148	10	for	for	ADP
hjic-126	148	11	regression	regression	NOUN
hjic-126	148	12	:	:	PUNCT
hjic-126	148	13	(	(	PUNCT
hjic-126	148	14	)	)	PUNCT
hjic-126	148	15	b	b	X
hjic-126	148	16	zx	zx	NUM
hjic-126	148	17	y	y	PROPN
hjic-126	149	1	i	i	PRON
hjic-126	150	1	n	n	VERB
hjic-126	151	1	i	i	PRON
hjic-126	151	2	n	n	CCONJ
hjic-126	151	3	j	j	PROPN
hjic-126	151	4	ijjr	ijjr	NOUN
hjic-126	151	5	i	i	PRON
hjic-126	151	6	+	+	CCONJ
hjic-126	151	7	⎟	⎟	X
hjic-126	151	8	⎟	⎟	X
hjic-126	151	9	⎠	⎠	PUNCT
hjic-126	151	10	⎞	⎞	PROPN
hjic-126	151	11	⎜	⎜	PROPN
hjic-126	151	12	⎜	⎜	PROPN
hjic-126	151	13	⎝	⎝	PUNCT
hjic-126	151	14	⎛	⎛	NOUN
hjic-126	151	15	−	−	NOUN
hjic-126	151	16	=	=	SYM
hjic-126	151	17	∑∏	∑∏	NOUN
hjic-126	151	18	=	=	PUNCT
hjic-126	151	19	=	=	PUNCT
hjic-126	151	20	δ	δ	X
hjic-126	151	21	σ1	σ1	NOUN
hjic-126	151	22	1	1	NUM
hjic-126	151	23	2	2	NUM
hjic-126	151	24	2	2	NUM
hjic-126	151	25	2	2	NUM
hjic-126	151	26	exp	exp	NOUN
hjic-126	151	27	(	(	PUNCT
hjic-126	151	28	14	14	NUM
hjic-126	151	29	)	)	PUNCT
hjic-126	151	30	because	because	SCONJ
hjic-126	151	31	the	the	DET
hjic-126	151	32	application	application	NOUN
hjic-126	151	33	of	of	ADP
hjic-126	151	34	the	the	DET
hjic-126	151	35	rs	rs	NOUN
hjic-126	151	36	method	method	NOUN
hjic-126	151	37	and	and	CCONJ
hjic-126	151	38	the	the	DET
hjic-126	151	39	fuzzy	fuzzy	ADJ
hjic-126	151	40	set	set	VERB
hjic-126	151	41	merging	merging	NOUN
hjic-126	151	42	procedure	procedure	NOUN
hjic-126	151	43	the	the	DET
hjic-126	151	44	obtained	obtain	VERB
hjic-126	151	45	membership	membership	NOUN
hjic-126	151	46	functions	function	NOUN
hjic-126	151	47	only	only	ADV
hjic-126	151	48	approximate	approximate	VERB
hjic-126	151	49	the	the	DET
hjic-126	151	50	original	original	ADJ
hjic-126	151	51	feature	feature	NOUN
hjic-126	151	52	space	space	NOUN
hjic-126	151	53	identified	identify	VERB
hjic-126	151	54	by	by	ADP
hjic-126	151	55	the	the	DET
hjic-126	151	56	sv	sv	PROPN
hjic-126	151	57	based	base	VERB
hjic-126	151	58	model	model	NOUN
hjic-126	151	59	.	.	PUNCT
hjic-126	152	1	hence	hence	ADV
hjic-126	152	2	,	,	PUNCT
hjic-126	152	3	the	the	DET
hjic-126	152	4	δ	δ	PROPN
hjic-126	152	5	=	=	PUNCT
hjic-126	153	1	[	[	X
hjic-126	153	2	δ1	δ1	NOUN
hjic-126	153	3	,	,	PUNCT
hjic-126	153	4	δ2	δ2	VERB
hjic-126	153	5	,	,	PUNCT
hjic-126	153	6	...	...	PUNCT
hjic-126	153	7	,	,	PUNCT
hjic-126	153	8	δnr]t	δnr]t	ADJ
hjic-126	153	9	consequent	consequent	ADJ
hjic-126	153	10	parameters	parameter	NOUN
hjic-126	153	11	of	of	ADP
hjic-126	153	12	the	the	DET
hjic-126	153	13	rules	rule	NOUN
hjic-126	153	14	have	have	VERB
hjic-126	153	15	to	to	PART
hjic-126	153	16	be	be	AUX
hjic-126	153	17	re	re	VERB
hjic-126	153	18	-	-	VERB
hjic-126	153	19	identified	identify	VERB
hjic-126	153	20	to	to	PART
hjic-126	153	21	minimize	minimize	VERB
hjic-126	153	22	the	the	DET
hjic-126	153	23	difference	difference	NOUN
hjic-126	153	24	between	between	ADP
hjic-126	153	25	the	the	DET
hjic-126	153	26	decision	decision	NOUN
hjic-126	153	27	function	function	NOUN
hjic-126	153	28	of	of	ADP
hjic-126	153	29	the	the	DET
hjic-126	153	30	support	support	NOUN
hjic-126	153	31	vector	vector	NOUN
hjic-126	153	32	machine	machine	NOUN
hjic-126	153	33	and	and	CCONJ
hjic-126	153	34	the	the	DET
hjic-126	153	35	fuzzy	fuzzy	ADJ
hjic-126	153	36	model	model	NOUN
hjic-126	153	37	(	(	PUNCT
hjic-126	153	38	13	13	NUM
hjic-126	153	39	,	,	PUNCT
hjic-126	153	40	14	14	NUM
hjic-126	153	41	)	)	PUNCT
hjic-126	153	42	:	:	PUNCT
hjic-126	153	43	(	(	PUNCT
hjic-126	153	44	)	)	PUNCT
hjic-126	153	45	(	(	PUNCT
hjic-126	153	46	)	)	PUNCT
hjic-126	153	47	2	2	NUM
hjic-126	153	48	1	1	NUM
hjic-126	153	49	2	2	NUM
hjic-126	153	50	1	1	NUM
hjic-126	153	51	1	1	NUM
hjic-126	153	52	,	,	PUNCT
hjic-126	153	53	∑	∑	ADP
hjic-126	153	54	∑	∑	PUNCT
hjic-126	153	55	∑	∑	PUNCT
hjic-126	153	56	=	=	SYM
hjic-126	153	57	=	=	SYM
hjic-126	153	58	=	=	SYM
hjic-126	153	59	−=⎟⎟	−=⎟⎟	NOUN
hjic-126	153	60	⎠	⎠	NOUN
hjic-126	153	61	⎞	⎞	PROPN
hjic-126	153	62	⎜⎜	⎜⎜	PROPN
hjic-126	153	63	⎝	⎝	PUNCT
hjic-126	153	64	⎛	⎛	NOUN
hjic-126	153	65	−=	−=	NOUN
hjic-126	154	1	d	d	X
hjic-126	154	2	i	i	PROPN
hjic-126	154	3	rn	rn	PROPN
hjic-126	154	4	j	j	PROPN
hjic-126	154	5	s	s	PART
hjic-126	154	6	n	n	VERB
hjic-126	155	1	i	i	PRON
hjic-126	155	2	n	n	ADV
hjic-126	156	1	i	i	PRON
hjic-126	156	2	jiiiji	jiiiji	VERB
hjic-126	156	3	xxxkmse	xxxkmse	PROPN
hjic-126	156	4	δβδγ	δβδγ	ADV
hjic-126	156	5	by	by	ADP
hjic-126	156	6	(	(	PUNCT
hjic-126	156	7	15	15	NUM
hjic-126	156	8	)	)	PUNCT
hjic-126	156	9	where	where	SCONJ
hjic-126	156	10	the	the	DET
hjic-126	156	11	matrix	matrix	NOUN
hjic-126	156	12	rd	rd	PROPN
hjic-126	156	13	nn	nn	PROPN
hjic-126	156	14	×∈=	×∈=	PROPN
hjic-126	156	15	rb,,bb	rb,,bb	VERB
hjic-126	156	16	rn1	rn1	VERB
hjic-126	156	17	]	]	X
hjic-126	156	18	[	[	PUNCT
hjic-126	156	19	k	k	X
hjic-126	156	20	containing	contain	VERB
hjic-126	156	21	the	the	DET
hjic-126	156	22	firing	firing	NOUN
hjic-126	156	23	strength	strength	NOUN
hjic-126	156	24	of	of	ADP
hjic-126	156	25	all	all	DET
hjic-126	156	26	nr	nr	PROPN
hjic-126	156	27	rules	rule	NOUN
hjic-126	156	28	for	for	ADP
hjic-126	156	29	all	all	DET
hjic-126	156	30	the	the	DET
hjic-126	156	31	input	input	NOUN
hjic-126	156	32	xi	xi	PROPN
hjic-126	156	33	,	,	PUNCT
hjic-126	156	34	where	where	SCONJ
hjic-126	156	35	bj	bj	VERB
hjic-126	156	36	=	=	PUNCT
hjic-126	157	1	[	[	X
hjic-126	157	2	βj(x1	βj(x1	NOUN
hjic-126	157	3	)	)	PUNCT
hjic-126	157	4	,	,	PUNCT
hjic-126	157	5	...	...	PUNCT
hjic-126	157	6	,	,	PUNCT
hjic-126	157	7	βj(xnd	βj(xnd	PROPN
hjic-126	157	8	)	)	PUNCT
hjic-126	157	9	]	]	PUNCT
hjic-126	158	1	t.	t.	X
hjic-126	158	2	as	as	ADP
hjic-126	158	3	the	the	DET
hjic-126	158	4	fuzzy	fuzzy	ADJ
hjic-126	158	5	rule	rule	NOUN
hjic-126	158	6	-	-	PUNCT
hjic-126	158	7	based	base	VERB
hjic-126	158	8	model	model	NOUN
hjic-126	158	9	(	(	PUNCT
hjic-126	158	10	13	13	NUM
hjic-126	158	11	,	,	PUNCT
hjic-126	158	12	14	14	NUM
hjic-126	158	13	)	)	PUNCT
hjic-126	158	14	is	be	AUX
hjic-126	158	15	linear	linear	ADJ
hjic-126	158	16	in	in	ADP
hjic-126	158	17	the	the	DET
hjic-126	158	18	parameters	parameter	NOUN
hjic-126	158	19	δ	δ	PROPN
hjic-126	158	20	,	,	PUNCT
hjic-126	158	21	(	(	PUNCT
hjic-126	158	22	15	15	NUM
hjic-126	158	23	)	)	PUNCT
hjic-126	158	24	can	can	AUX
hjic-126	158	25	be	be	AUX
hjic-126	158	26	solved	solve	VERB
hjic-126	158	27	by	by	ADP
hjic-126	158	28	a	a	DET
hjic-126	158	29	least	least	ADJ
hjic-126	158	30	-	-	PUNCT
hjic-126	158	31	squares	square	NOUN
hjic-126	158	32	method	method	NOUN
hjic-126	158	33	δ	δ	PROPN
hjic-126	158	34	=	=	PUNCT
hjic-126	158	35	b+	b+	NUM
hjic-126	158	36	ys	ys	PROPN
hjic-126	158	37	(	(	PUNCT
hjic-126	158	38	16	16	NUM
hjic-126	158	39	)	)	PUNCT
hjic-126	158	40	where	where	SCONJ
hjic-126	158	41	b+	b+	PUNCT
hjic-126	158	42	denotes	denote	VERB
hjic-126	158	43	the	the	DET
hjic-126	158	44	moore	moore	PROPN
hjic-126	158	45	-	-	PUNCT
hjic-126	158	46	penrose	penrose	NOUN
hjic-126	158	47	pseudo	pseudo	NOUN
hjic-126	158	48	inverse	inverse	NOUN
hjic-126	158	49	of	of	ADP
hjic-126	158	50	b.	b.	PROPN
hjic-126	158	51	the	the	DET
hjic-126	158	52	application	application	NOUN
hjic-126	158	53	of	of	ADP
hjic-126	158	54	orthogonal	orthogonal	ADJ
hjic-126	158	55	transforms	transform	VERB
hjic-126	158	56	for	for	ADP
hjic-126	158	57	the	the	DET
hjic-126	158	58	above	above	ADJ
hjic-126	158	59	mentioned	mention	VERB
hjic-126	158	60	regression	regression	NOUN
hjic-126	158	61	problem	problem	NOUN
hjic-126	158	62	(	(	PUNCT
hjic-126	158	63	15	15	NUM
hjic-126	158	64	)	)	PUNCT
hjic-126	158	65	for	for	ADP
hjic-126	158	66	reducing	reduce	VERB
hjic-126	158	67	the	the	DET
hjic-126	158	68	number	number	NOUN
hjic-126	158	69	of	of	ADP
hjic-126	158	70	rules	rule	NOUN
hjic-126	158	71	has	have	AUX
hjic-126	158	72	received	receive	VERB
hjic-126	158	73	much	much	ADJ
hjic-126	158	74	attention	attention	NOUN
hjic-126	158	75	in	in	ADP
hjic-126	158	76	recent	recent	ADJ
hjic-126	158	77	literature	literature	NOUN
hjic-126	158	78	[	[	X
hjic-126	158	79	14	14	NUM
hjic-126	158	80	]	]	PUNCT
hjic-126	158	81	.	.	PUNCT
hjic-126	159	1	these	these	DET
hjic-126	159	2	methods	method	NOUN
hjic-126	159	3	evaluate	evaluate	VERB
hjic-126	159	4	the	the	DET
hjic-126	159	5	output	output	NOUN
hjic-126	159	6	contribution	contribution	NOUN
hjic-126	159	7	of	of	ADP
hjic-126	159	8	the	the	DET
hjic-126	159	9	rules	rule	NOUN
hjic-126	159	10	to	to	PART
hjic-126	159	11	obtain	obtain	VERB
hjic-126	159	12	an	an	DET
hjic-126	159	13	importance	importance	NOUN
hjic-126	159	14	ordering	ordering	NOUN
hjic-126	159	15	.	.	PUNCT
hjic-126	160	1	for	for	ADP
hjic-126	160	2	modelling	model	VERB
hjic-126	160	3	purposes	purpose	NOUN
hjic-126	160	4	,	,	PUNCT
hjic-126	160	5	the	the	DET
hjic-126	160	6	orthogonal	orthogonal	ADJ
hjic-126	160	7	least	least	ADJ
hjic-126	160	8	squares	square	NOUN
hjic-126	160	9	105	105	NUM
hjic-126	160	10	(	(	PUNCT
hjic-126	160	11	ols	ol	NOUN
hjic-126	160	12	)	)	PUNCT
hjic-126	160	13	is	be	AUX
hjic-126	160	14	the	the	DET
hjic-126	160	15	most	most	ADV
hjic-126	160	16	appropriate	appropriate	ADJ
hjic-126	160	17	tool	tool	NOUN
hjic-126	160	18	[	[	X
hjic-126	160	19	7	7	NUM
hjic-126	160	20	]	]	PUNCT
hjic-126	160	21	.	.	PUNCT
hjic-126	161	1	the	the	DET
hjic-126	161	2	ols	ols	PROPN
hjic-126	161	3	method	method	NOUN
hjic-126	161	4	transforms	transform	VERB
hjic-126	161	5	the	the	DET
hjic-126	161	6	columns	column	NOUN
hjic-126	161	7	of	of	ADP
hjic-126	161	8	b	b	NOUN
hjic-126	161	9	into	into	ADP
hjic-126	161	10	a	a	DET
hjic-126	161	11	set	set	NOUN
hjic-126	161	12	of	of	ADP
hjic-126	161	13	orthogonal	orthogonal	ADJ
hjic-126	161	14	basis	basis	NOUN
hjic-126	161	15	vectors	vector	NOUN
hjic-126	161	16	in	in	ADP
hjic-126	161	17	order	order	NOUN
hjic-126	161	18	to	to	PART
hjic-126	161	19	inspect	inspect	VERB
hjic-126	161	20	the	the	DET
hjic-126	161	21	individual	individual	ADJ
hjic-126	161	22	contribution	contribution	NOUN
hjic-126	161	23	of	of	ADP
hjic-126	161	24	each	each	DET
hjic-126	161	25	rule	rule	NOUN
hjic-126	161	26	.	.	PUNCT
hjic-126	162	1	to	to	PART
hjic-126	162	2	do	do	VERB
hjic-126	162	3	this	this	PRON
hjic-126	162	4	,	,	PUNCT
hjic-126	162	5	gram	gram	NOUN
hjic-126	162	6	-	-	PUNCT
hjic-126	162	7	schmidt	schmidt	NOUN
hjic-126	162	8	orthogonalization	orthogonalization	NOUN
hjic-126	162	9	of	of	ADP
hjic-126	162	10	b	b	NOUN
hjic-126	162	11	=	=	X
hjic-126	162	12	wa	wa	PROPN
hjic-126	162	13	is	be	AUX
hjic-126	162	14	used	use	VERB
hjic-126	162	15	,	,	PUNCT
hjic-126	162	16	where	where	SCONJ
hjic-126	162	17	w	w	NOUN
hjic-126	162	18	is	be	AUX
hjic-126	162	19	an	an	DET
hjic-126	162	20	orthogonal	orthogonal	ADJ
hjic-126	162	21	matrix	matrix	NOUN
hjic-126	162	22	wt	wt	NOUN
hjic-126	162	23	w	w	NOUN
hjic-126	162	24	=	=	PUNCT
hjic-126	162	25	i	i	PROPN
hjic-126	162	26	and	and	CCONJ
hjic-126	162	27	a	a	PRON
hjic-126	162	28	is	be	AUX
hjic-126	162	29	an	an	DET
hjic-126	162	30	upper	upper	ADJ
hjic-126	162	31	triangular	triangular	NOUN
hjic-126	162	32	matrix	matrix	NOUN
hjic-126	162	33	with	with	ADP
hjic-126	162	34	unity	unity	NOUN
hjic-126	162	35	diagonal	diagonal	ADJ
hjic-126	162	36	elements	element	NOUN
hjic-126	162	37	.	.	PUNCT
hjic-126	163	1	if	if	SCONJ
hjic-126	163	2	wi	wi	PROPN
hjic-126	163	3	denotes	denote	VERB
hjic-126	163	4	the	the	DET
hjic-126	163	5	i	i	PROPN
hjic-126	163	6	-	-	PUNCT
hjic-126	163	7	th	th	X
hjic-126	163	8	column	column	NOUN
hjic-126	163	9	of	of	ADP
hjic-126	163	10	w	w	PROPN
hjic-126	163	11	and	and	CCONJ
hjic-126	163	12	gi	gi	PROPN
hjic-126	163	13	is	be	AUX
hjic-126	163	14	the	the	DET
hjic-126	163	15	corresponding	corresponding	ADJ
hjic-126	163	16	element	element	NOUN
hjic-126	163	17	of	of	ADP
hjic-126	163	18	the	the	DET
hjic-126	163	19	ols	ol	NOUN
hjic-126	163	20	solution	solution	NOUN
hjic-126	163	21	vector	vector	NOUN
hjic-126	163	22	g	g	PROPN
hjic-126	163	23	=	=	SYM
hjic-126	163	24	aδ	aδ	PROPN
hjic-126	163	25	,	,	PUNCT
hjic-126	163	26	the	the	DET
hjic-126	163	27	output	output	NOUN
hjic-126	163	28	variance	variance	NOUN
hjic-126	163	29	ys	ys	PROPN
hjic-126	163	30	t	t	PROPN
hjic-126	163	31	y	y	PROPN
hjic-126	163	32	/	/	PROPN
hjic-126	163	33	nd	nd	PROPN
hjic-126	163	34	can	can	AUX
hjic-126	163	35	be	be	AUX
hjic-126	163	36	explained	explain	VERB
hjic-126	163	37	by	by	ADP
hjic-126	163	38	the	the	DET
hjic-126	163	39	regressors	regressor	NOUN
hjic-126	164	1	d	d	PROPN
hjic-126	165	1	n	n	INTJ
hjic-126	166	1	i	i	PRON
hjic-126	167	1	i	i	INTJ
hjic-126	167	2	ng	ng	VERB
hjic-126	167	3	r	r	NOUN
hjic-126	167	4	/	/	SYM
hjic-126	167	5	1	1	NUM
hjic-126	168	1	i	i	PRON
hjic-126	168	2	t	t	VERB
hjic-126	169	1	i	i	PRON
hjic-126	169	2	ww∑	ww∑	VERB
hjic-126	169	3	=	=	PUNCT
hjic-126	169	4	.	.	PUNCT
hjic-126	170	1	thus	thus	ADV
hjic-126	170	2	,	,	PUNCT
hjic-126	170	3	the	the	DET
hjic-126	170	4	error	error	NOUN
hjic-126	170	5	reduction	reduction	NOUN
hjic-126	170	6	ratio	ratio	NOUN
hjic-126	170	7	,	,	PUNCT
hjic-126	170	8	ρ	ρ	PROPN
hjic-126	170	9	,	,	PUNCT
hjic-126	170	10	due	due	ADP
hjic-126	170	11	to	to	ADP
hjic-126	170	12	an	an	DET
hjic-126	170	13	individual	individual	ADJ
hjic-126	170	14	rule	rule	NOUN
hjic-126	170	15	i	i	PRON
hjic-126	170	16	can	can	AUX
hjic-126	170	17	be	be	AUX
hjic-126	170	18	expressed	express	VERB
hjic-126	170	19	as	as	ADP
hjic-126	170	20	s	s	PROPN
hjic-126	170	21	t	t	NOUN
hjic-126	170	22	s	s	X
hjic-126	171	1	i	i	PRON
hjic-126	171	2	t	t	X
hjic-126	171	3	iu	iu	ADV
hjic-126	172	1	i	i	PRON
hjic-126	172	2	yy	yy	INTJ
hjic-126	172	3	wwg	wwg	VERB
hjic-126	172	4	2	2	NUM
hjic-126	172	5	=	=	SYM
hjic-126	172	6	ρ	ρ	X
hjic-126	172	7	(	(	PUNCT
hjic-126	172	8	17	17	NUM
hjic-126	172	9	)	)	PUNCT
hjic-126	172	10	this	this	DET
hjic-126	172	11	ratio	ratio	NOUN
hjic-126	172	12	offers	offer	VERB
hjic-126	172	13	a	a	DET
hjic-126	172	14	simple	simple	ADJ
hjic-126	172	15	mean	mean	NOUN
hjic-126	172	16	for	for	ADP
hjic-126	172	17	ordering	order	VERB
hjic-126	172	18	the	the	DET
hjic-126	172	19	rules	rule	NOUN
hjic-126	172	20	,	,	PUNCT
hjic-126	172	21	and	and	CCONJ
hjic-126	172	22	can	can	AUX
hjic-126	172	23	be	be	AUX
hjic-126	172	24	easily	easily	ADV
hjic-126	172	25	used	use	VERB
hjic-126	172	26	to	to	PART
hjic-126	172	27	select	select	VERB
hjic-126	172	28	a	a	DET
hjic-126	172	29	subset	subset	NOUN
hjic-126	172	30	of	of	ADP
hjic-126	172	31	rules	rule	NOUN
hjic-126	172	32	in	in	ADP
hjic-126	172	33	a	a	DET
hjic-126	172	34	forward	forward	ADJ
hjic-126	172	35	-	-	PUNCT
hjic-126	172	36	regression	regression	NOUN
hjic-126	172	37	manner	manner	NOUN
hjic-126	172	38	.	.	PUNCT
hjic-126	173	1	evaluating	evaluate	VERB
hjic-126	173	2	only	only	ADV
hjic-126	173	3	the	the	DET
hjic-126	173	4	approximation	approximation	NOUN
hjic-126	173	5	capabilities	capability	NOUN
hjic-126	173	6	of	of	ADP
hjic-126	173	7	the	the	DET
hjic-126	173	8	rules	rule	NOUN
hjic-126	173	9	,	,	PUNCT
hjic-126	173	10	the	the	DET
hjic-126	173	11	ols	ol	NOUN
hjic-126	173	12	method	method	NOUN
hjic-126	173	13	often	often	ADV
hjic-126	173	14	assigns	assign	VERB
hjic-126	173	15	high	high	ADJ
hjic-126	173	16	importance	importance	NOUN
hjic-126	173	17	to	to	ADP
hjic-126	173	18	a	a	DET
hjic-126	173	19	set	set	NOUN
hjic-126	173	20	of	of	ADP
hjic-126	173	21	redundant	redundant	ADJ
hjic-126	173	22	or	or	CCONJ
hjic-126	173	23	correlated	correlate	VERB
hjic-126	173	24	rules	rule	NOUN
hjic-126	173	25	.	.	PUNCT
hjic-126	174	1	to	to	PART
hjic-126	174	2	avoid	avoid	VERB
hjic-126	174	3	this	this	PRON
hjic-126	174	4	,	,	PUNCT
hjic-126	174	5	in	in	ADP
hjic-126	174	6	[	[	X
hjic-126	174	7	7	7	X
hjic-126	174	8	]	]	PUNCT
hjic-126	174	9	some	some	DET
hjic-126	174	10	extension	extension	NOUN
hjic-126	174	11	for	for	ADP
hjic-126	174	12	the	the	DET
hjic-126	174	13	ols	ol	NOUN
hjic-126	174	14	method	method	NOUN
hjic-126	174	15	were	be	AUX
hjic-126	174	16	proposed	propose	VERB
hjic-126	174	17	.	.	PUNCT
hjic-126	175	1	in	in	ADP
hjic-126	175	2	the	the	DET
hjic-126	175	3	previous	previous	ADJ
hjic-126	175	4	sections	section	NOUN
hjic-126	175	5	it	it	PRON
hjic-126	175	6	has	have	AUX
hjic-126	175	7	been	be	AUX
hjic-126	175	8	shown	show	VERB
hjic-126	175	9	how	how	SCONJ
hjic-126	175	10	an	an	DET
hjic-126	175	11	sv	sv	NOUN
hjic-126	175	12	based	base	VERB
hjic-126	175	13	model	model	NOUN
hjic-126	175	14	,	,	PUNCT
hjic-126	175	15	that	that	PRON
hjic-126	175	16	is	be	AUX
hjic-126	175	17	structurally	structurally	ADV
hjic-126	175	18	equivalent	equivalent	ADJ
hjic-126	175	19	to	to	ADP
hjic-126	175	20	a	a	DET
hjic-126	175	21	fuzzy	fuzzy	ADJ
hjic-126	175	22	model	model	NOUN
hjic-126	175	23	,	,	PUNCT
hjic-126	175	24	can	can	AUX
hjic-126	175	25	be	be	AUX
hjic-126	175	26	identified	identify	VERB
hjic-126	175	27	.	.	PUNCT
hjic-126	176	1	unfortunately	unfortunately	ADV
hjic-126	176	2	,	,	PUNCT
hjic-126	176	3	this	this	DET
hjic-126	176	4	identification	identification	NOUN
hjic-126	176	5	method	method	NOUN
hjic-126	176	6	can	can	AUX
hjic-126	176	7	not	not	PART
hjic-126	176	8	be	be	AUX
hjic-126	176	9	used	use	VERB
hjic-126	176	10	directly	directly	ADV
hjic-126	176	11	for	for	ADP
hjic-126	176	12	the	the	DET
hjic-126	176	13	identification	identification	NOUN
hjic-126	176	14	of	of	ADP
hjic-126	176	15	interpretable	interpretable	ADJ
hjic-126	176	16	fuzzy	fuzzy	ADJ
hjic-126	176	17	systems	system	NOUN
hjic-126	176	18	because	because	SCONJ
hjic-126	176	19	the	the	DET
hjic-126	176	20	number	number	NOUN
hjic-126	176	21	of	of	ADP
hjic-126	176	22	the	the	DET
hjic-126	176	23	support	support	NOUN
hjic-126	176	24	vectors	vector	NOUN
hjic-126	176	25	is	be	AUX
hjic-126	176	26	usually	usually	ADV
hjic-126	176	27	very	very	ADV
hjic-126	176	28	large	large	ADJ
hjic-126	176	29	.	.	PUNCT
hjic-126	177	1	typical	typical	ADJ
hjic-126	177	2	values	value	NOUN
hjic-126	177	3	are	be	AUX
hjic-126	177	4	40	40	NUM
hjic-126	177	5	-	-	SYM
hjic-126	177	6	60	60	NUM
hjic-126	177	7	%	%	NOUN
hjic-126	177	8	of	of	ADP
hjic-126	177	9	the	the	DET
hjic-126	177	10	number	number	NOUN
hjic-126	177	11	of	of	ADP
hjic-126	177	12	training	training	NOUN
hjic-126	177	13	data	datum	NOUN
hjic-126	177	14	which	which	PRON
hjic-126	177	15	is	be	AUX
hjic-126	177	16	in	in	ADP
hjic-126	177	17	our	our	PRON
hjic-126	177	18	approach	approach	NOUN
hjic-126	177	19	equal	equal	ADJ
hjic-126	177	20	to	to	ADP
hjic-126	177	21	the	the	DET
hjic-126	177	22	number	number	NOUN
hjic-126	177	23	of	of	ADP
hjic-126	177	24	rules	rule	NOUN
hjic-126	177	25	in	in	ADP
hjic-126	177	26	the	the	DET
hjic-126	177	27	fuzzy	fuzzy	ADJ
hjic-126	177	28	system	system	NOUN
hjic-126	177	29	.	.	PUNCT
hjic-126	178	1	therefore	therefore	ADV
hjic-126	178	2	,	,	PUNCT
hjic-126	178	3	there	there	PRON
hjic-126	178	4	is	be	VERB
hjic-126	178	5	a	a	DET
hjic-126	178	6	need	need	NOUN
hjic-126	178	7	for	for	ADP
hjic-126	178	8	an	an	DET
hjic-126	178	9	interpretable	interpretable	ADJ
hjic-126	178	10	approximation	approximation	NOUN
hjic-126	178	11	of	of	ADP
hjic-126	178	12	the	the	DET
hjic-126	178	13	support	support	NOUN
hjic-126	178	14	vector	vector	NOUN
hjic-126	178	15	expansion	expansion	NOUN
hjic-126	178	16	.	.	PUNCT
hjic-126	179	1	for	for	ADP
hjic-126	179	2	this	this	DET
hjic-126	179	3	purpose	purpose	NOUN
hjic-126	179	4	the	the	DET
hjic-126	179	5	three	three	NUM
hjic-126	179	6	-	-	PUNCT
hjic-126	179	7	step	step	NOUN
hjic-126	179	8	algorithm	algorithm	NOUN
hjic-126	179	9	described	describe	VERB
hjic-126	179	10	will	will	AUX
hjic-126	179	11	be	be	AUX
hjic-126	179	12	used	use	VERB
hjic-126	179	13	in	in	ADP
hjic-126	179	14	the	the	DET
hjic-126	179	15	examples	example	NOUN
hjic-126	179	16	section	section	NOUN
hjic-126	179	17	examples	example	NOUN
hjic-126	179	18	example	example	NOUN
hjic-126	179	19	for	for	ADP
hjic-126	179	20	classification	classification	NOUN
hjic-126	179	21	to	to	PART
hjic-126	179	22	show	show	VERB
hjic-126	179	23	the	the	DET
hjic-126	179	24	power	power	NOUN
hjic-126	179	25	of	of	ADP
hjic-126	179	26	the	the	DET
hjic-126	179	27	described	describe	VERB
hjic-126	179	28	technique	technique	NOUN
hjic-126	179	29	is	be	AUX
hjic-126	179	30	applied	apply	VERB
hjic-126	179	31	to	to	ADP
hjic-126	179	32	the	the	DET
hjic-126	179	33	wisconsin	wisconsin	PROPN
hjic-126	179	34	breast	breast	PROPN
hjic-126	179	35	cancer	cancer	NOUN
hjic-126	179	36	data	datum	NOUN
hjic-126	179	37	,	,	PUNCT
hjic-126	179	38	which	which	PRON
hjic-126	179	39	is	be	AUX
hjic-126	179	40	a	a	DET
hjic-126	179	41	benchmark	benchmark	ADJ
hjic-126	179	42	problem	problem	NOUN
hjic-126	179	43	in	in	ADP
hjic-126	179	44	the	the	DET
hjic-126	179	45	classification	classification	NOUN
hjic-126	179	46	and	and	CCONJ
hjic-126	179	47	pattern	pattern	NOUN
hjic-126	179	48	recognition	recognition	NOUN
hjic-126	179	49	literature	literature	NOUN
hjic-126	179	50	.	.	PUNCT
hjic-126	180	1	the	the	DET
hjic-126	180	2	data	data	NOUN
hjic-126	180	3	is	be	AUX
hjic-126	180	4	divided	divide	VERB
hjic-126	180	5	into	into	ADP
hjic-126	180	6	training	training	NOUN
hjic-126	180	7	and	and	CCONJ
hjic-126	180	8	an	an	DET
hjic-126	180	9	evaluation	evaluation	NOUN
hjic-126	180	10	subset	subset	NOUN
hjic-126	180	11	that	that	PRON
hjic-126	180	12	have	have	VERB
hjic-126	180	13	similar	similar	ADJ
hjic-126	180	14	size	size	NOUN
hjic-126	180	15	and	and	CCONJ
hjic-126	180	16	class	class	NOUN
hjic-126	180	17	distributions	distribution	NOUN
hjic-126	180	18	(	(	PUNCT
hjic-126	180	19	we	we	PRON
hjic-126	180	20	used	use	VERB
hjic-126	180	21	342	342	NUM
hjic-126	180	22	cases	case	NOUN
hjic-126	180	23	for	for	ADP
hjic-126	180	24	training	training	NOUN
hjic-126	180	25	and	and	CCONJ
hjic-126	180	26	341	341	NUM
hjic-126	180	27	cases	case	NOUN
hjic-126	180	28	for	for	ADP
hjic-126	180	29	testing	test	VERB
hjic-126	180	30	the	the	DET
hjic-126	180	31	classifier	classifier	NOUN
hjic-126	180	32	)	)	PUNCT
hjic-126	180	33	.	.	PUNCT
hjic-126	181	1	first	first	ADV
hjic-126	181	2	,	,	PUNCT
hjic-126	181	3	the	the	DET
hjic-126	181	4	advanced	advanced	ADJ
hjic-126	181	5	version	version	NOUN
hjic-126	181	6	of	of	ADP
hjic-126	181	7	c4.5	c4.5	PROPN
hjic-126	181	8	was	be	AUX
hjic-126	181	9	applied	apply	VERB
hjic-126	181	10	to	to	PART
hjic-126	181	11	obtain	obtain	VERB
hjic-126	181	12	an	an	DET
hjic-126	181	13	estimate	estimate	NOUN
hjic-126	181	14	for	for	ADP
hjic-126	181	15	the	the	DET
hjic-126	181	16	useful	useful	ADJ
hjic-126	181	17	features	feature	NOUN
hjic-126	181	18	.	.	PUNCT
hjic-126	182	1	this	this	DET
hjic-126	182	2	method	method	NOUN
hjic-126	182	3	gave	give	VERB
hjic-126	182	4	36	36	NUM
hjic-126	182	5	misclassification	misclassification	NOUN
hjic-126	182	6	for	for	ADP
hjic-126	182	7	the	the	DET
hjic-126	182	8	problem	problem	NOUN
hjic-126	182	9	(	(	PUNCT
hjic-126	182	10	5,25	5,25	NUM
hjic-126	182	11	%	%	NOUN
hjic-126	182	12	)	)	PUNCT
hjic-126	182	13	.	.	PUNCT
hjic-126	183	1	the	the	DET
hjic-126	183	2	constructed	construct	VERB
hjic-126	183	3	decision	decision	NOUN
hjic-126	183	4	-	-	PUNCT
hjic-126	183	5	tree	tree	NOUN
hjic-126	183	6	model	model	NOUN
hjic-126	183	7	had	have	VERB
hjic-126	183	8	25	25	NUM
hjic-126	183	9	nodes	node	NOUN
hjic-126	183	10	and	and	CCONJ
hjic-126	183	11	used	use	VERB
hjic-126	183	12	mainly	mainly	ADV
hjic-126	183	13	three	three	NUM
hjic-126	183	14	inputs	input	NOUN
hjic-126	183	15	;	;	PUNCT
hjic-126	183	16	x1	x1	NUM
hjic-126	183	17	,	,	PUNCT
hjic-126	183	18	x2	x2	PROPN
hjic-126	183	19	and	and	CCONJ
hjic-126	183	20	x6	x6	PROPN
hjic-126	183	21	.	.	PUNCT
hjic-126	184	1	based	base	VERB
hjic-126	184	2	on	on	ADP
hjic-126	184	3	this	this	DET
hjic-126	184	4	pre	pre	NOUN
hjic-126	184	5	-	-	NOUN
hjic-126	184	6	study	study	ADJ
hjic-126	184	7	,	,	PUNCT
hjic-126	184	8	only	only	ADV
hjic-126	184	9	the	the	DET
hjic-126	184	10	previous	previous	ADJ
hjic-126	184	11	three	three	NUM
hjic-126	184	12	inputs	input	NOUN
hjic-126	184	13	were	be	AUX
hjic-126	184	14	applied	apply	VERB
hjic-126	184	15	to	to	PART
hjic-126	184	16	identify	identify	VERB
hjic-126	184	17	the	the	DET
hjic-126	184	18	svm	svm	ADJ
hjic-126	184	19	classifier	classifier	NOUN
hjic-126	184	20	with	with	ADP
hjic-126	184	21	nx	nx	PROPN
hjic-126	184	22	=	=	SYM
hjic-126	184	23	71	71	NUM
hjic-126	184	24	support	support	NOUN
hjic-126	184	25	vectors	vector	NOUN
hjic-126	184	26	.	.	PUNCT
hjic-126	185	1	the	the	DET
hjic-126	185	2	application	application	NOUN
hjic-126	185	3	of	of	ADP
hjic-126	185	4	this	this	DET
hjic-126	185	5	model	model	NOUN
hjic-126	185	6	resulted	result	VERB
hjic-126	185	7	in	in	ADP
hjic-126	185	8	3	3	NUM
hjic-126	185	9	and	and	CCONJ
hjic-126	185	10	15	15	NUM
hjic-126	185	11	misclassifications	misclassification	NOUN
hjic-126	185	12	on	on	ADP
hjic-126	185	13	the	the	DET
hjic-126	185	14	training	training	NOUN
hjic-126	185	15	and	and	CCONJ
hjic-126	185	16	testing	testing	NOUN
hjic-126	185	17	data	datum	NOUN
hjic-126	185	18	,	,	PUNCT
hjic-126	185	19	respectively	respectively	ADV
hjic-126	185	20	.	.	PUNCT
hjic-126	186	1	this	this	DET
hjic-126	186	2	model	model	NOUN
hjic-126	186	3	has	have	AUX
hjic-126	186	4	been	be	AUX
hjic-126	186	5	reduced	reduce	VERB
hjic-126	186	6	by	by	ADP
hjic-126	186	7	the	the	DET
hjic-126	186	8	rs	rs	ADJ
hjic-126	186	9	method	method	NOUN
hjic-126	186	10	,	,	PUNCT
hjic-126	186	11	by	by	ADP
hjic-126	186	12	which	which	PRON
hjic-126	186	13	we	we	PRON
hjic-126	186	14	tried	try	VERB
hjic-126	186	15	to	to	PART
hjic-126	186	16	reduce	reduce	VERB
hjic-126	186	17	the	the	DET
hjic-126	186	18	model	model	NOUN
hjic-126	186	19	by	by	ADP
hjic-126	186	20	a	a	DET
hjic-126	186	21	factor	factor	NOUN
hjic-126	186	22	of	of	ADP
hjic-126	186	23	10	10	NUM
hjic-126	186	24	,	,	PUNCT
hjic-126	186	25	nr	nr	NOUN
hjic-126	186	26	=	=	NOUN
hjic-126	186	27	8	8	NUM
hjic-126	186	28	.	.	PUNCT
hjic-126	186	29	by	by	ADP
hjic-126	186	30	this	this	DET
hjic-126	186	31	step	step	NOUN
hjic-126	186	32	,	,	PUNCT
hjic-126	186	33	the	the	DET
hjic-126	186	34	classification	classification	NOUN
hjic-126	186	35	performance	performance	NOUN
hjic-126	186	36	slightly	slightly	ADV
hjic-126	186	37	decreased	decrease	VERB
hjic-126	186	38	on	on	ADP
hjic-126	186	39	the	the	DET
hjic-126	186	40	training	training	NOUN
hjic-126	186	41	set	set	VERB
hjic-126	186	42	to	to	ADP
hjic-126	186	43	12	12	NUM
hjic-126	186	44	misclassifications	misclassification	NOUN
hjic-126	186	45	,	,	PUNCT
hjic-126	186	46	but	but	CCONJ
hjic-126	186	47	the	the	DET
hjic-126	186	48	validation	validation	NOUN
hjic-126	186	49	data	datum	NOUN
hjic-126	186	50	showed	show	VERB
hjic-126	186	51	a	a	DET
hjic-126	186	52	slightly	slightly	ADV
hjic-126	186	53	better	well	ADJ
hjic-126	186	54	result	result	NOUN
hjic-126	186	55	with	with	ADP
hjic-126	186	56	14	14	NUM
hjic-126	186	57	misclassifications	misclassification	NOUN
hjic-126	186	58	.	.	PUNCT
hjic-126	187	1	next	next	ADV
hjic-126	187	2	,	,	PUNCT
hjic-126	187	3	the	the	DET
hjic-126	187	4	reduced	reduced	ADJ
hjic-126	187	5	kernelclassifier	kernelclassifier	NOUN
hjic-126	187	6	was	be	AUX
hjic-126	187	7	transformed	transform	VERB
hjic-126	187	8	into	into	ADP
hjic-126	187	9	a	a	DET
hjic-126	187	10	fuzzy	fuzzy	ADJ
hjic-126	187	11	system	system	NOUN
hjic-126	187	12	.	.	PUNCT
hjic-126	188	1	fig	fig	NOUN
hjic-126	188	2	.	.	PUNCT
hjic-126	189	1	2	2	NUM
hjic-126	189	2	shows	show	VERB
hjic-126	189	3	the	the	DET
hjic-126	189	4	membership	membership	NOUN
hjic-126	189	5	functions	function	NOUN
hjic-126	189	6	that	that	PRON
hjic-126	189	7	were	be	AUX
hjic-126	189	8	obtained	obtain	VERB
hjic-126	189	9	.	.	PUNCT
hjic-126	190	1	the	the	DET
hjic-126	190	2	obtained	obtain	VERB
hjic-126	190	3	model	model	NOUN
hjic-126	190	4	with	with	ADP
hjic-126	190	5	eight	eight	NUM
hjic-126	190	6	rules	rule	NOUN
hjic-126	190	7	is	be	AUX
hjic-126	190	8	still	still	ADV
hjic-126	190	9	not	not	PART
hjic-126	190	10	really	really	ADV
hjic-126	190	11	well	well	ADV
hjic-126	190	12	interpretable	interpretable	ADJ
hjic-126	190	13	;	;	PUNCT
hjic-126	190	14	however	however	ADV
hjic-126	190	15	,	,	PUNCT
hjic-126	190	16	some	some	PRON
hjic-126	190	17	of	of	ADP
hjic-126	190	18	the	the	DET
hjic-126	190	19	membership	membership	NOUN
hjic-126	190	20	functions	function	NOUN
hjic-126	190	21	appear	appear	VERB
hjic-126	190	22	very	very	ADV
hjic-126	190	23	similar	similar	ADJ
hjic-126	190	24	and	and	CCONJ
hjic-126	190	25	can	can	AUX
hjic-126	190	26	probably	probably	ADV
hjic-126	190	27	be	be	AUX
hjic-126	190	28	merged	merge	VERB
hjic-126	190	29	easily	easily	ADV
hjic-126	190	30	without	without	ADP
hjic-126	190	31	loss	loss	NOUN
hjic-126	190	32	in	in	ADP
hjic-126	190	33	accuracy	accuracy	NOUN
hjic-126	190	34	.	.	PUNCT
hjic-126	191	1	figure	figure	NOUN
hjic-126	191	2	2	2	NUM
hjic-126	191	3	:	:	PUNCT
hjic-126	191	4	non	non	ADJ
hjic-126	191	5	-	-	ADJ
hjic-126	191	6	distinguishable	distinguishable	ADJ
hjic-126	191	7	membership	membership	NOUN
hjic-126	191	8	functions	function	NOUN
hjic-126	191	9	obtained	obtain	VERB
hjic-126	191	10	after	after	ADP
hjic-126	191	11	the	the	DET
hjic-126	191	12	application	application	NOUN
hjic-126	191	13	of	of	ADP
hjic-126	191	14	the	the	DET
hjic-126	191	15	rs	rs	ADJ
hjic-126	191	16	method	method	NOUN
hjic-126	191	17	figure	figure	NOUN
hjic-126	191	18	3	3	NUM
hjic-126	191	19	:	:	PUNCT
hjic-126	191	20	interpretable	interpretable	ADJ
hjic-126	191	21	membership	membership	NOUN
hjic-126	191	22	functions	function	NOUN
hjic-126	191	23	of	of	ADP
hjic-126	191	24	the	the	DET
hjic-126	191	25	reduced	reduce	VERB
hjic-126	191	26	fuzzy	fuzzy	ADJ
hjic-126	191	27	model	model	NOUN
hjic-126	191	28	table	table	NOUN
hjic-126	191	29	1	1	NUM
hjic-126	191	30	:	:	PUNCT
hjic-126	191	31	classification	classification	NOUN
hjic-126	191	32	rates	rate	NOUN
hjic-126	191	33	and	and	CCONJ
hjic-126	191	34	model	model	NOUN
hjic-126	191	35	complexity	complexity	NOUN
hjic-126	191	36	for	for	ADP
hjic-126	191	37	the	the	DET
hjic-126	191	38	constructed	construct	VERB
hjic-126	191	39	classifiers	classifier	NOUN
hjic-126	191	40	method	method	VERB
hjic-126	191	41	#	#	NOUN
hjic-126	191	42	miss	miss	NOUN
hjic-126	191	43	.	.	PUNCT
hjic-126	192	1	train	train	NOUN
hjic-126	192	2	#	#	SYM
hjic-126	192	3	miss	miss	NOUN
hjic-126	192	4	test	test	NOUN
hjic-126	192	5	#	#	NOUN
hjic-126	192	6	rules	rule	VERB
hjic-126	192	7	#	#	NOUN
hjic-126	192	8	conditions	condition	NOUN
hjic-126	192	9	svm	svm	VERB
hjic-126	192	10	3	3	NUM
hjic-126	192	11	15	15	NUM
hjic-126	192	12	71	71	NUM
hjic-126	192	13	213	213	NUM
hjic-126	192	14	rs	rs	NOUN
hjic-126	192	15	method	method	NOUN
hjic-126	192	16	12	12	NUM
hjic-126	192	17	14	14	NUM
hjic-126	192	18	8	8	NUM
hjic-126	192	19	24	24	NUM
hjic-126	192	20	merging	merge	VERB
hjic-126	192	21	11	11	NUM
hjic-126	192	22	13	13	NUM
hjic-126	192	23	8	8	NUM
hjic-126	192	24	10	10	NUM
hjic-126	192	25	ols	ol	NOUN
hjic-126	192	26	14	14	NUM
hjic-126	192	27	16	16	NUM
hjic-126	192	28	2	2	NUM
hjic-126	192	29	4	4	NUM
hjic-126	192	30	106	106	NUM
hjic-126	192	31	the	the	DET
hjic-126	192	32	performance	performance	NOUN
hjic-126	192	33	of	of	ADP
hjic-126	192	34	the	the	DET
hjic-126	192	35	classifier	classifier	NOUN
hjic-126	192	36	slightly	slightly	ADV
hjic-126	192	37	increased	increase	VERB
hjic-126	192	38	after	after	ADP
hjic-126	192	39	this	this	DET
hjic-126	192	40	merging	merge	VERB
hjic-126	192	41	step	step	NOUN
hjic-126	192	42	(	(	PUNCT
hjic-126	192	43	table	table	NOUN
hjic-126	192	44	1	1	NUM
hjic-126	192	45	)	)	PUNCT
hjic-126	192	46	.	.	PUNCT
hjic-126	193	1	subsequently	subsequently	ADV
hjic-126	193	2	,	,	PUNCT
hjic-126	193	3	using	use	VERB
hjic-126	193	4	the	the	DET
hjic-126	193	5	ols	ol	NOUN
hjic-126	193	6	method	method	NOUN
hjic-126	193	7	,	,	PUNCT
hjic-126	193	8	the	the	DET
hjic-126	193	9	rules	rule	NOUN
hjic-126	193	10	were	be	AUX
hjic-126	193	11	ordered	order	VERB
hjic-126	193	12	according	accord	VERB
hjic-126	193	13	to	to	ADP
hjic-126	193	14	there	there	PRON
hjic-126	193	15	importance	importance	NOUN
hjic-126	193	16	.	.	PUNCT
hjic-126	194	1	then	then	ADV
hjic-126	194	2	,	,	PUNCT
hjic-126	194	3	we	we	PRON
hjic-126	194	4	reduced	reduce	VERB
hjic-126	194	5	the	the	DET
hjic-126	194	6	number	number	NOUN
hjic-126	194	7	of	of	ADP
hjic-126	194	8	rules	rule	NOUN
hjic-126	194	9	one	one	NUM
hjic-126	194	10	-	-	PUNCT
hjic-126	194	11	by	by	ADP
hjic-126	194	12	-	-	PUNCT
hjic-126	194	13	one	one	NUM
hjic-126	194	14	according	accord	VERB
hjic-126	194	15	the	the	DET
hjic-126	194	16	ols	ol	NOUN
hjic-126	194	17	ranking	ranking	NOUN
hjic-126	194	18	,	,	PUNCT
hjic-126	194	19	till	till	SCONJ
hjic-126	194	20	a	a	DET
hjic-126	194	21	major	major	ADJ
hjic-126	194	22	drop	drop	NOUN
hjic-126	194	23	in	in	ADP
hjic-126	194	24	the	the	DET
hjic-126	194	25	performance	performance	NOUN
hjic-126	194	26	was	be	AUX
hjic-126	194	27	observed	observe	VERB
hjic-126	194	28	.	.	PUNCT
hjic-126	195	1	to	to	ADP
hjic-126	195	2	our	our	PRON
hjic-126	195	3	surprise	surprise	NOUN
hjic-126	195	4	,	,	PUNCT
hjic-126	195	5	only	only	ADV
hjic-126	195	6	two	two	NUM
hjic-126	195	7	rules	rule	NOUN
hjic-126	195	8	and	and	CCONJ
hjic-126	195	9	four	four	NUM
hjic-126	195	10	membership	membership	NOUN
hjic-126	195	11	functions	function	NOUN
hjic-126	195	12	were	be	AUX
hjic-126	195	13	necessary	necessary	ADJ
hjic-126	195	14	to	to	PART
hjic-126	195	15	have	have	VERB
hjic-126	195	16	a	a	DET
hjic-126	195	17	good	good	ADJ
hjic-126	195	18	classification	classification	NOUN
hjic-126	195	19	performance	performance	NOUN
hjic-126	195	20	on	on	ADP
hjic-126	195	21	this	this	DET
hjic-126	195	22	problem	problem	NOUN
hjic-126	195	23	:	:	PUNCT
hjic-126	195	24	14	14	NUM
hjic-126	195	25	and	and	CCONJ
hjic-126	195	26	16	16	NUM
hjic-126	195	27	misclassification	misclassification	NOUN
hjic-126	195	28	on	on	ADP
hjic-126	195	29	the	the	DET
hjic-126	195	30	learning	learning	NOUN
hjic-126	195	31	and	and	CCONJ
hjic-126	195	32	validation	validation	NOUN
hjic-126	195	33	data	datum	NOUN
hjic-126	195	34	,	,	PUNCT
hjic-126	195	35	respectively	respectively	ADV
hjic-126	195	36	(	(	PUNCT
hjic-126	195	37	table	table	NOUN
hjic-126	195	38	1	1	NUM
hjic-126	195	39	,	,	PUNCT
hjic-126	195	40	fig	fig	NOUN
hjic-126	195	41	.	.	PUNCT
hjic-126	196	1	3	3	NUM
hjic-126	196	2	)	)	PUNCT
hjic-126	196	3	.	.	PUNCT
hjic-126	197	1	the	the	DET
hjic-126	197	2	obtained	obtain	VERB
hjic-126	197	3	rules	rule	NOUN
hjic-126	197	4	are	be	AUX
hjic-126	197	5	:	:	PUNCT
hjic-126	197	6	r1	r1	PROPN
hjic-126	197	7	.	.	PUNCT
hjic-126	198	1	if	if	SCONJ
hjic-126	198	2	x1	x1	PROPN
hjic-126	198	3	is	be	AUX
hjic-126	198	4	small	small	ADJ
hjic-126	198	5	and	and	CCONJ
hjic-126	198	6	x2	x2	PROPN
hjic-126	198	7	is	be	AUX
hjic-126	198	8	small	small	ADJ
hjic-126	198	9	and	and	CCONJ
hjic-126	198	10	x6	x6	PROPN
hjic-126	198	11	is	be	AUX
hjic-126	198	12	small	small	ADJ
hjic-126	198	13	then	then	ADV
hjic-126	198	14	class	class	NOUN
hjic-126	198	15	is	be	AUX
hjic-126	198	16	benign	benign	ADJ
hjic-126	198	17	;	;	PUNCT
hjic-126	198	18	r2	r2	NOUN
hjic-126	198	19	.	.	PUNCT
hjic-126	199	1	if	if	SCONJ
hjic-126	199	2	x1	x1	PROPN
hjic-126	199	3	is	be	AUX
hjic-126	199	4	high	high	ADJ
hjic-126	199	5	then	then	ADV
hjic-126	199	6	class	class	NOUN
hjic-126	199	7	is	be	AUX
hjic-126	199	8	malignant	malignant	ADJ
hjic-126	199	9	;	;	PUNCT
hjic-126	199	10	where	where	SCONJ
hjic-126	199	11	x1	x1	PROPN
hjic-126	199	12	is	be	AUX
hjic-126	199	13	the	the	DET
hjic-126	199	14	clump	clump	NOUN
hjic-126	199	15	thickness	thickness	NOUN
hjic-126	199	16	,	,	PUNCT
hjic-126	199	17	x2	x2	PROPN
hjic-126	199	18	the	the	DET
hjic-126	199	19	uniformity	uniformity	NOUN
hjic-126	199	20	of	of	ADP
hjic-126	199	21	cell	cell	NOUN
hjic-126	199	22	size	size	NOUN
hjic-126	199	23	,	,	PUNCT
hjic-126	199	24	and	and	CCONJ
hjic-126	199	25	x6	x6	PROPN
hjic-126	199	26	a	a	DET
hjic-126	199	27	measure	measure	NOUN
hjic-126	199	28	for	for	ADP
hjic-126	199	29	bare	bare	ADJ
hjic-126	199	30	nuclei	nucleus	NOUN
hjic-126	199	31	.	.	PUNCT
hjic-126	200	1	example	example	NOUN
hjic-126	200	2	for	for	ADP
hjic-126	200	3	regression	regression	NOUN
hjic-126	200	4	to	to	PART
hjic-126	200	5	demonstrate	demonstrate	VERB
hjic-126	200	6	the	the	DET
hjic-126	200	7	potential	potential	NOUN
hjic-126	200	8	of	of	ADP
hjic-126	200	9	support	support	NOUN
hjic-126	200	10	vector	vector	NOUN
hjic-126	200	11	regression	regression	NOUN
hjic-126	200	12	techniques	technique	NOUN
hjic-126	200	13	two	two	NUM
hjic-126	200	14	examples	example	NOUN
hjic-126	200	15	are	be	AUX
hjic-126	200	16	introduced	introduce	VERB
hjic-126	200	17	.	.	PUNCT
hjic-126	201	1	firstly	firstly	ADV
hjic-126	201	2	a	a	DET
hjic-126	201	3	simple	simple	ADJ
hjic-126	201	4	regression	regression	NOUN
hjic-126	201	5	problem	problem	NOUN
hjic-126	201	6	called	call	VERB
hjic-126	201	7	regress	regress	NOUN
hjic-126	201	8	is	be	AUX
hjic-126	201	9	solved	solve	VERB
hjic-126	201	10	.	.	PUNCT
hjic-126	202	1	regress	regress	NOUN
hjic-126	202	2	is	be	AUX
hjic-126	202	3	a	a	DET
hjic-126	202	4	simple	simple	ADJ
hjic-126	202	5	dataset	dataset	NOUN
hjic-126	202	6	containing	contain	VERB
hjic-126	202	7	51	51	NUM
hjic-126	202	8	samples	sample	NOUN
hjic-126	202	9	(	(	PUNCT
hjic-126	202	10	fig	fig	NOUN
hjic-126	202	11	.	.	PUNCT
hjic-126	203	1	4	4	NUM
hjic-126	203	2	)	)	PUNCT
hjic-126	203	3	.	.	PUNCT
hjic-126	204	1	figure	figure	VERB
hjic-126	204	2	4	4	NUM
hjic-126	204	3	:	:	PUNCT
hjic-126	204	4	the	the	DET
hjic-126	204	5	regress	regress	NOUN
hjic-126	204	6	dataset	dataset	VERB
hjic-126	204	7	with	with	ADP
hjic-126	204	8	model	model	NOUN
hjic-126	204	9	output	output	NOUN
hjic-126	204	10	,	,	PUNCT
hjic-126	204	11	support	support	NOUN
hjic-126	204	12	vectors	vector	NOUN
hjic-126	204	13	and	and	CCONJ
hjic-126	204	14	the	the	DET
hjic-126	204	15	insensitive	insensitive	ADJ
hjic-126	204	16	region	region	NOUN
hjic-126	204	17	.	.	PUNCT
hjic-126	205	1	the	the	DET
hjic-126	205	2	svr	svr	PROPN
hjic-126	205	3	technique	technique	NOUN
hjic-126	205	4	obtained	obtain	VERB
hjic-126	205	5	nx	nx	NOUN
hjic-126	205	6	=	=	SYM
hjic-126	205	7	14	14	NUM
hjic-126	205	8	.	.	PUNCT
hjic-126	206	1	this	this	DET
hjic-126	206	2	model	model	NOUN
hjic-126	206	3	has	have	AUX
hjic-126	206	4	been	be	AUX
hjic-126	206	5	also	also	ADV
hjic-126	206	6	reduced	reduce	VERB
hjic-126	206	7	by	by	ADP
hjic-126	206	8	the	the	DET
hjic-126	206	9	rs	rs	ADJ
hjic-126	206	10	method	method	NOUN
hjic-126	206	11	,	,	PUNCT
hjic-126	206	12	by	by	ADP
hjic-126	206	13	which	which	PRON
hjic-126	206	14	we	we	PRON
hjic-126	206	15	tried	try	VERB
hjic-126	206	16	to	to	PART
hjic-126	206	17	reduce	reduce	VERB
hjic-126	206	18	the	the	DET
hjic-126	206	19	model	model	NOUN
hjic-126	206	20	to	to	ADP
hjic-126	206	21	nr	nr	PRON
hjic-126	206	22	=	=	NOUN
hjic-126	206	23	10	10	NUM
hjic-126	206	24	.	.	PUNCT
hjic-126	207	1	after	after	ADP
hjic-126	207	2	doing	do	VERB
hjic-126	207	3	the	the	DET
hjic-126	207	4	modelling	modelling	NOUN
hjic-126	207	5	steps	step	NOUN
hjic-126	207	6	described	describe	VERB
hjic-126	207	7	in	in	ADP
hjic-126	207	8	the	the	DET
hjic-126	207	9	classification	classification	NOUN
hjic-126	207	10	example	example	NOUN
hjic-126	207	11	we	we	PRON
hjic-126	207	12	achieved	achieve	VERB
hjic-126	207	13	the	the	DET
hjic-126	207	14	following	follow	VERB
hjic-126	207	15	results	result	NOUN
hjic-126	207	16	(	(	PUNCT
hjic-126	207	17	described	describe	VERB
hjic-126	207	18	in	in	ADP
hjic-126	207	19	table	table	NOUN
hjic-126	207	20	2	2	NUM
hjic-126	207	21	)	)	PUNCT
hjic-126	207	22	table	table	NOUN
hjic-126	207	23	2	2	NUM
hjic-126	207	24	.	.	PUNCT
hjic-126	208	1	svr	svr	PROPN
hjic-126	208	2	results	result	NOUN
hjic-126	208	3	on	on	ADP
hjic-126	208	4	regress	regress	ADJ
hjic-126	208	5	data	datum	NOUN
hjic-126	208	6	method	method	PROPN
hjic-126	208	7	rmse	rmse	NOUN
hjic-126	208	8	#	#	NOUN
hjic-126	208	9	rules	rule	NOUN
hjic-126	208	10	svm	svm	VERB
hjic-126	208	11	0,0840	0,0840	NOUN
hjic-126	208	12	14	14	NUM
hjic-126	208	13	rs	rs	NOUN
hjic-126	208	14	0,0919	0,0919	NOUN
hjic-126	208	15	10	10	NUM
hjic-126	208	16	ols	ol	NOUN
hjic-126	208	17	0,2261	0,2261	VERB
hjic-126	208	18	9	9	NUM
hjic-126	208	19	merging	merging	NOUN
hjic-126	208	20	0,2415	0,2415	PROPN
hjic-126	208	21	6	6	NUM
hjic-126	208	22	the	the	DET
hjic-126	208	23	ols	ol	NOUN
hjic-126	208	24	reduction	reduction	NOUN
hjic-126	208	25	indicated	indicate	VERB
hjic-126	208	26	,	,	PUNCT
hjic-126	208	27	that	that	SCONJ
hjic-126	208	28	reducing	reduce	VERB
hjic-126	208	29	with	with	ADP
hjic-126	208	30	one	one	NUM
hjic-126	208	31	rule	rule	NOUN
hjic-126	208	32	results	result	VERB
hjic-126	208	33	the	the	DET
hjic-126	208	34	increase	increase	NOUN
hjic-126	208	35	of	of	ADP
hjic-126	208	36	modelling	model	VERB
hjic-126	208	37	error	error	NOUN
hjic-126	208	38	at	at	ADP
hjic-126	208	39	this	this	DET
hjic-126	208	40	example	example	NOUN
hjic-126	208	41	,	,	PUNCT
hjic-126	208	42	for	for	ADP
hjic-126	208	43	an	an	DET
hjic-126	208	44	interesting	interesting	ADJ
hjic-126	208	45	point	point	NOUN
hjic-126	208	46	we	we	PRON
hjic-126	208	47	mention	mention	VERB
hjic-126	208	48	that	that	SCONJ
hjic-126	208	49	using	use	VERB
hjic-126	208	50	extreme	extreme	ADJ
hjic-126	208	51	reduction	reduction	NOUN
hjic-126	208	52	steps	step	NOUN
hjic-126	208	53	in	in	ADP
hjic-126	208	54	this	this	DET
hjic-126	208	55	example	example	NOUN
hjic-126	208	56	(	(	PUNCT
hjic-126	208	57	nr	nr	NOUN
hjic-126	208	58	=	=	NOUN
hjic-126	208	59	4	4	NUM
hjic-126	208	60	,	,	PUNCT
hjic-126	208	61	after	after	ADP
hjic-126	208	62	ols	ol	NOUN
hjic-126	208	63	ranking	rank	VERB
hjic-126	208	64	nr	nr	PROPN
hjic-126	208	65	=	=	NOUN
hjic-126	208	66	2	2	NUM
hjic-126	208	67	)	)	PUNCT
hjic-126	208	68	gives	give	VERB
hjic-126	208	69	also	also	ADV
hjic-126	208	70	reasonable	reasonable	ADJ
hjic-126	208	71	results	result	NOUN
hjic-126	208	72	(	(	PUNCT
hjic-126	208	73	rmse	rmse	NOUN
hjic-126	208	74	=	=	PROPN
hjic-126	208	75	1.241	1.241	NUM
hjic-126	208	76	)	)	PUNCT
hjic-126	208	77	.	.	PUNCT
hjic-126	209	1	identification	identification	NOUN
hjic-126	209	2	of	of	ADP
hjic-126	209	3	a	a	DET
hjic-126	209	4	hammerstein	hammerstein	NOUN
hjic-126	209	5	system	system	NOUN
hjic-126	209	6	in	in	ADP
hjic-126	209	7	this	this	DET
hjic-126	209	8	example	example	NOUN
hjic-126	209	9	,	,	PUNCT
hjic-126	209	10	the	the	DET
hjic-126	209	11	support	support	NOUN
hjic-126	209	12	vector	vector	NOUN
hjic-126	209	13	regression	regression	NOUN
hjic-126	209	14	is	be	AUX
hjic-126	209	15	used	use	VERB
hjic-126	209	16	to	to	PART
hjic-126	209	17	approximate	approximate	VERB
hjic-126	209	18	a	a	DET
hjic-126	209	19	hammerstein	hammerstein	NOUN
hjic-126	209	20	system	system	NOUN
hjic-126	209	21	that	that	PRON
hjic-126	209	22	consists	consist	VERB
hjic-126	209	23	of	of	ADP
hjic-126	209	24	a	a	DET
hjic-126	209	25	series	series	NOUN
hjic-126	209	26	connection	connection	NOUN
hjic-126	209	27	of	of	ADP
hjic-126	209	28	a	a	DET
hjic-126	209	29	memory	memory	NOUN
hjic-126	209	30	less	less	ADJ
hjic-126	209	31	nonlinearity	nonlinearity	NOUN
hjic-126	209	32	,	,	PUNCT
hjic-126	209	33	f	f	X
hjic-126	209	34	,	,	PUNCT
hjic-126	209	35	and	and	CCONJ
hjic-126	209	36	linear	linear	PROPN
hjic-126	209	37	dynamics	dynamic	NOUN
hjic-126	209	38	,	,	PUNCT
hjic-126	209	39	g	g	NOUN
hjic-126	209	40	,	,	PUNCT
hjic-126	209	41	as	as	SCONJ
hjic-126	209	42	shown	show	VERB
hjic-126	209	43	in	in	ADP
hjic-126	209	44	fig	fig	NOUN
hjic-126	209	45	.	.	PUNCT
hjic-126	210	1	5	5	NUM
hjic-126	210	2	where	where	SCONJ
hjic-126	210	3	v	v	NOUN
hjic-126	210	4	represents	represent	VERB
hjic-126	210	5	the	the	DET
hjic-126	210	6	transformed	transform	VERB
hjic-126	210	7	input	input	NOUN
hjic-126	210	8	variable	variable	NOUN
hjic-126	210	9	.	.	PUNCT
hjic-126	211	1	figure	figure	VERB
hjic-126	211	2	5	5	NUM
hjic-126	211	3	:	:	PUNCT
hjic-126	211	4	hammerstein	hammerstein	NOUN
hjic-126	211	5	system	system	NOUN
hjic-126	211	6	for	for	ADP
hjic-126	211	7	transparent	transparent	ADJ
hjic-126	211	8	presentation	presentation	NOUN
hjic-126	211	9	,	,	PUNCT
hjic-126	211	10	the	the	DET
hjic-126	211	11	hammerstein	hammerstein	PROPN
hjic-126	211	12	system	system	NOUN
hjic-126	211	13	to	to	PART
hjic-126	211	14	be	be	AUX
hjic-126	211	15	identified	identify	VERB
hjic-126	211	16	consists	consist	NOUN
hjic-126	211	17	of	of	ADP
hjic-126	211	18	a	a	DET
hjic-126	211	19	first	first	ADJ
hjic-126	211	20	-	-	PUNCT
hjic-126	211	21	order	order	NOUN
hjic-126	211	22	linear	linear	ADJ
hjic-126	211	23	part	part	NOUN
hjic-126	211	24	,	,	PUNCT
hjic-126	211	25	y(k+1	y(k+1	NOUN
hjic-126	211	26	)	)	PUNCT
hjic-126	211	27	=	=	SYM
hjic-126	211	28	0,9·y(k	0,9·y(k	NOUN
hjic-126	211	29	)	)	PUNCT
hjic-126	212	1	+	+	NUM
hjic-126	212	2	0,1·v(k	0,1·v(k	NOUN
hjic-126	212	3	)	)	PUNCT
hjic-126	212	4	,	,	PUNCT
hjic-126	212	5	and	and	CCONJ
hjic-126	212	6	a	a	DET
hjic-126	212	7	static	static	ADJ
hjic-126	212	8	nonlinearity	nonlinearity	NOUN
hjic-126	212	9	represented	represent	VERB
hjic-126	212	10	by	by	ADP
hjic-126	212	11	a	a	DET
hjic-126	212	12	polynomial	polynomial	ADJ
hjic-126	212	13	,	,	PUNCT
hjic-126	212	14	v(k	v(k	NOUN
hjic-126	212	15	)	)	PUNCT
hjic-126	212	16	=	=	PUNCT
hjic-126	213	1	u(k)2	u(k)2	PROPN
hjic-126	213	2	.	.	PUNCT
hjic-126	214	1	the	the	DET
hjic-126	214	2	identification	identification	NOUN
hjic-126	214	3	data	datum	NOUN
hjic-126	214	4	consists	consist	VERB
hjic-126	214	5	of	of	ADP
hjic-126	214	6	500	500	NUM
hjic-126	214	7	input	input	NOUN
hjic-126	214	8	-	-	PUNCT
hjic-126	214	9	output	output	NOUN
hjic-126	214	10	data	datum	NOUN
hjic-126	214	11	.	.	PUNCT
hjic-126	215	1	a	a	DET
hjic-126	215	2	support	support	NOUN
hjic-126	215	3	vector	vector	NOUN
hjic-126	215	4	regression	regression	NOUN
hjic-126	215	5	model	model	NOUN
hjic-126	215	6	was	be	AUX
hjic-126	215	7	identified	identify	VERB
hjic-126	215	8	with	with	ADP
hjic-126	215	9	the	the	DET
hjic-126	215	10	efficiency	efficiency	NOUN
hjic-126	215	11	summarized	summarize	VERB
hjic-126	215	12	in	in	ADP
hjic-126	215	13	table	table	NOUN
hjic-126	215	14	3	3	NUM
hjic-126	215	15	.	.	PUNCT
hjic-126	215	16	table	table	NOUN
hjic-126	215	17	3	3	NUM
hjic-126	215	18	:	:	PUNCT
hjic-126	215	19	svr	svr	PROPN
hjic-126	215	20	results	result	NOUN
hjic-126	215	21	on	on	ADP
hjic-126	215	22	hammerstein	hammerstein	PROPN
hjic-126	215	23	system	system	NOUN
hjic-126	215	24	identification	identification	NOUN
hjic-126	215	25	method	method	NOUN
hjic-126	215	26	rmse	rmse	NOUN
hjic-126	215	27	#	#	NOUN
hjic-126	215	28	rules	rule	NOUN
hjic-126	215	29	svm	svm	VERB
hjic-126	215	30	0,0533	0,0533	NOUN
hjic-126	215	31	22	22	NUM
hjic-126	216	1	rs	r	NOUN
hjic-126	216	2	0,0604	0,0604	NUM
hjic-126	216	3	15	15	NUM
hjic-126	216	4	applying	apply	VERB
hjic-126	216	5	ols	ol	NOUN
hjic-126	216	6	0.0650	0.0650	NUM
hjic-126	216	7	13	13	NUM
hjic-126	216	8	merging	merge	VERB
hjic-126	216	9	0.0792	0.0792	NUM
hjic-126	216	10	12	12	NUM
hjic-126	216	11	figure	figure	NOUN
hjic-126	216	12	5	5	NUM
hjic-126	216	13	:	:	PUNCT
hjic-126	216	14	identified	identify	VERB
hjic-126	216	15	hammerstein	hammerstein	PROPN
hjic-126	216	16	system	system	NOUN
hjic-126	216	17	support	support	NOUN
hjic-126	216	18	vectors	vector	NOUN
hjic-126	216	19	and	and	CCONJ
hjic-126	216	20	model	model	NOUN
hjic-126	216	21	output	output	NOUN
hjic-126	216	22	after	after	ADP
hjic-126	216	23	reduction	reduction	NOUN
hjic-126	216	24	.	.	PUNCT
hjic-126	217	1	as	as	SCONJ
hjic-126	217	2	fig	fig	NOUN
hjic-126	217	3	.	.	PUNCT
hjic-126	217	4	5	5	NUM
hjic-126	217	5	and	and	CCONJ
hjic-126	217	6	table	table	NOUN
hjic-126	217	7	3	3	NUM
hjic-126	217	8	conclude	conclude	NOUN
hjic-126	217	9	,	,	PUNCT
hjic-126	217	10	support	support	NOUN
hjic-126	217	11	vector	vector	NOUN
hjic-126	217	12	regression	regression	NOUN
hjic-126	217	13	is	be	AUX
hjic-126	217	14	able	able	ADJ
hjic-126	217	15	to	to	PART
hjic-126	217	16	give	give	VERB
hjic-126	217	17	accurate	accurate	ADJ
hjic-126	217	18	model	model	NOUN
hjic-126	217	19	for	for	ADP
hjic-126	217	20	hammerstein	hammerstein	PROPN
hjic-126	217	21	system	system	PROPN
hjic-126	217	22	with	with	ADP
hjic-126	217	23	,	,	PUNCT
hjic-126	217	24	however	however	ADV
hjic-126	217	25	the	the	DET
hjic-126	217	26	results	result	NOUN
hjic-126	217	27	are	be	AUX
hjic-126	217	28	not	not	PART
hjic-126	217	29	interpretable	interpretable	ADJ
hjic-126	217	30	.	.	PUNCT
hjic-126	218	1	hereby	hereby	ADV
hjic-126	218	2	the	the	DET
hjic-126	218	3	three	three	NUM
hjic-126	218	4	-	-	PUNCT
hjic-126	218	5	step	step	NOUN
hjic-126	218	6	reduction	reduction	NOUN
hjic-126	218	7	algorithm	algorithm	NOUN
hjic-126	218	8	is	be	AUX
hjic-126	218	9	used	use	VERB
hjic-126	218	10	to	to	PART
hjic-126	218	11	acquire	acquire	VERB
hjic-126	218	12	interpretable	interpretable	ADJ
hjic-126	218	13	fuzzy	fuzzy	ADJ
hjic-126	218	14	regression	regression	NOUN
hjic-126	218	15	model	model	NOUN
hjic-126	218	16	.	.	PUNCT
hjic-126	219	1	after	after	ADP
hjic-126	219	2	applying	apply	VERB
hjic-126	219	3	the	the	DET
hjic-126	219	4	rs	rs	ADJ
hjic-126	219	5	method	method	NOUN
hjic-126	219	6	we	we	PRON
hjic-126	219	7	were	be	AUX
hjic-126	219	8	able	able	ADJ
hjic-126	219	9	to	to	PART
hjic-126	219	10	reduce	reduce	VERB
hjic-126	219	11	the	the	DET
hjic-126	219	12	number	number	NOUN
hjic-126	219	13	of	of	ADP
hjic-126	219	14	support	support	NOUN
hjic-126	219	15	vectors	vector	NOUN
hjic-126	219	16	to	to	ADP
hjic-126	219	17	15	15	NUM
hjic-126	219	18	without	without	ADP
hjic-126	219	19	the	the	DET
hjic-126	219	20	loss	loss	NOUN
hjic-126	219	21	of	of	ADP
hjic-126	219	22	the	the	DET
hjic-126	219	23	modelling	modelling	NOUN
hjic-126	219	24	error	error	NOUN
hjic-126	219	25	,	,	PUNCT
hjic-126	219	26	but	but	CCONJ
hjic-126	219	27	the	the	DET
hjic-126	219	28	obtained	obtain	VERB
hjic-126	219	29	results	result	NOUN
hjic-126	219	30	are	be	AUX
hjic-126	219	31	still	still	ADV
hjic-126	219	32	not	not	PART
hjic-126	219	33	interpretable	interpretable	ADJ
hjic-126	219	34	as	as	SCONJ
hjic-126	219	35	it	it	PRON
hjic-126	219	36	can	can	AUX
hjic-126	219	37	be	be	AUX
hjic-126	219	38	seen	see	VERB
hjic-126	219	39	on	on	ADP
hjic-126	219	40	fig	fig	NOUN
hjic-126	219	41	.	.	PUNCT
hjic-126	220	1	6	6	NUM
hjic-126	220	2	.	.	X
hjic-126	220	3	using	use	VERB
hjic-126	220	4	further	further	ADJ
hjic-126	220	5	reduction	reduction	NOUN
hjic-126	220	6	with	with	ADP
hjic-126	220	7	the	the	DET
hjic-126	220	8	second	second	ADJ
hjic-126	220	9	and	and	CCONJ
hjic-126	220	10	third	third	ADJ
hjic-126	220	11	step	step	NOUN
hjic-126	220	12	of	of	ADP
hjic-126	220	13	the	the	DET
hjic-126	220	14	algorithm	algorithm	NOUN
hjic-126	220	15	ols	ol	NOUN
hjic-126	220	16	and	and	CCONJ
hjic-126	220	17	fuzzy	fuzzy	ADJ
hjic-126	220	18	membership	membership	NOUN
hjic-126	220	19	function	function	NOUN
hjic-126	220	20	merging	merge	VERB
hjic-126	220	21	finally	finally	ADV
hjic-126	220	22	results	result	VERB
hjic-126	220	23	interpretable	interpretable	ADJ
hjic-126	220	24	(	(	PUNCT
hjic-126	220	25	fig	fig	NOUN
hjic-126	220	26	.	.	PUNCT
hjic-126	220	27	7	7	NUM
hjic-126	220	28	)	)	PUNCT
hjic-126	220	29	and	and	CCONJ
hjic-126	220	30	accurate	accurate	ADJ
hjic-126	220	31	(	(	PUNCT
hjic-126	220	32	table	table	NOUN
hjic-126	220	33	3	3	NUM
hjic-126	220	34	)	)	PUNCT
hjic-126	220	35	fuzzy	fuzzy	ADJ
hjic-126	220	36	model	model	NOUN
hjic-126	220	37	.	.	PUNCT
hjic-126	221	1	-2	-2	NOUN
hjic-126	221	2	0	0	NUM
hjic-126	221	3	2	2	NUM
hjic-126	221	4	-1,5	-1,5	NOUN
hjic-126	221	5	0	0	NUM
hjic-126	221	6	1,5	1,5	NUM
hjic-126	221	7	regress	regress	ADJ
hjic-126	221	8	data	datum	NOUN
hjic-126	221	9	model	model	NOUN
hjic-126	221	10	output	output	NOUN
hjic-126	221	11	support	support	NOUN
hjic-126	221	12	vectors	vector	NOUN
hjic-126	221	13	insensitive	insensitive	ADJ
hjic-126	221	14	region	region	NOUN
hjic-126	221	15	250	250	NUM
hjic-126	221	16	500	500	NUM
hjic-126	221	17	0	0	NUM
hjic-126	221	18	1	1	NUM
hjic-126	221	19	hammerstein	hammerstein	PROPN
hjic-126	221	20	data	data	PROPN
hjic-126	221	21	model	model	PROPN
hjic-126	221	22	output	output	NOUN
hjic-126	221	23	support	support	NOUN
hjic-126	221	24	vectors	vector	NOUN
hjic-126	221	25	model	model	VERB
hjic-126	221	26	output	output	NOUN
hjic-126	221	27	after	after	ADP
hjic-126	221	28	reduction	reduction	NOUN
hjic-126	221	29	107	107	NUM
hjic-126	221	30	0	0	NUM
hjic-126	221	31	0.1	0.1	NUM
hjic-126	221	32	0.2	0.2	NUM
hjic-126	221	33	0.3	0.3	NUM
hjic-126	221	34	0.4	0.4	NUM
hjic-126	221	35	0.5	0.5	NUM
hjic-126	221	36	0.6	0.6	NUM
hjic-126	221	37	0.7	0.7	NUM
hjic-126	221	38	0.8	0.8	NUM
hjic-126	221	39	0.9	0.9	NUM
hjic-126	221	40	1	1	NUM
hjic-126	221	41	0	0	NUM
hjic-126	221	42	0.2	0.2	NUM
hjic-126	221	43	0.4	0.4	NUM
hjic-126	221	44	0.6	0.6	NUM
hjic-126	221	45	0.8	0.8	NUM
hjic-126	221	46	1	1	NUM
hjic-126	221	47	0	0	NUM
hjic-126	221	48	0.1	0.1	NUM
hjic-126	221	49	0.2	0.2	NUM
hjic-126	221	50	0.3	0.3	NUM
hjic-126	221	51	0.4	0.4	NUM
hjic-126	221	52	0.5	0.5	NUM
hjic-126	221	53	0.6	0.6	NUM
hjic-126	221	54	0.7	0.7	NUM
hjic-126	221	55	0.8	0.8	NUM
hjic-126	221	56	0.9	0.9	NUM
hjic-126	221	57	1	1	NUM
hjic-126	221	58	0	0	NUM
hjic-126	221	59	0.2	0.2	NUM
hjic-126	221	60	0.4	0.4	NUM
hjic-126	221	61	0.6	0.6	NUM
hjic-126	221	62	0.8	0.8	NUM
hjic-126	221	63	1	1	NUM
hjic-126	221	64	figure	figure	NOUN
hjic-126	221	65	6	6	NUM
hjic-126	221	66	:	:	PUNCT
hjic-126	221	67	non	non	ADJ
hjic-126	221	68	-	-	ADJ
hjic-126	221	69	distinguishable	distinguishable	ADJ
hjic-126	221	70	membership	membership	NOUN
hjic-126	221	71	functions	function	NOUN
hjic-126	221	72	obtained	obtain	VERB
hjic-126	221	73	after	after	ADP
hjic-126	221	74	the	the	DET
hjic-126	221	75	application	application	NOUN
hjic-126	221	76	of	of	ADP
hjic-126	221	77	the	the	DET
hjic-126	221	78	rs	rs	ADJ
hjic-126	221	79	method	method	NOUN
hjic-126	221	80	0	0	NUM
hjic-126	221	81	0.1	0.1	NUM
hjic-126	221	82	0.2	0.2	NUM
hjic-126	221	83	0.3	0.3	NUM
hjic-126	221	84	0.4	0.4	NUM
hjic-126	221	85	0.5	0.5	NUM
hjic-126	221	86	0.6	0.6	NUM
hjic-126	221	87	0.7	0.7	NUM
hjic-126	221	88	0.8	0.8	NUM
hjic-126	221	89	0.9	0.9	NUM
hjic-126	221	90	1	1	NUM
hjic-126	221	91	0	0	NUM
hjic-126	221	92	0.2	0.2	NUM
hjic-126	221	93	0.4	0.4	NUM
hjic-126	221	94	0.6	0.6	NUM
hjic-126	221	95	0.8	0.8	NUM
hjic-126	221	96	1	1	NUM
hjic-126	221	97	0	0	NUM
hjic-126	221	98	0.1	0.1	NUM
hjic-126	221	99	0.2	0.2	NUM
hjic-126	221	100	0.3	0.3	NUM
hjic-126	221	101	0.4	0.4	NUM
hjic-126	221	102	0.5	0.5	NUM
hjic-126	221	103	0.6	0.6	NUM
hjic-126	221	104	0.7	0.7	NUM
hjic-126	221	105	0.8	0.8	NUM
hjic-126	221	106	0.9	0.9	NUM
hjic-126	221	107	1	1	NUM
hjic-126	221	108	0	0	NUM
hjic-126	221	109	0.2	0.2	NUM
hjic-126	221	110	0.4	0.4	NUM
hjic-126	221	111	0.6	0.6	NUM
hjic-126	221	112	0.8	0.8	NUM
hjic-126	221	113	1	1	NUM
hjic-126	221	114	figure	figure	NOUN
hjic-126	221	115	7	7	NUM
hjic-126	221	116	:	:	PUNCT
hjic-126	221	117	interpretable	interpretable	ADJ
hjic-126	221	118	membership	membership	NOUN
hjic-126	221	119	functions	function	NOUN
hjic-126	221	120	of	of	ADP
hjic-126	221	121	the	the	DET
hjic-126	221	122	reduced	reduce	VERB
hjic-126	221	123	fuzzy	fuzzy	ADJ
hjic-126	221	124	model	model	NOUN
hjic-126	221	125	conclusion	conclusion	NOUN
hjic-126	221	126	it	it	PRON
hjic-126	221	127	has	have	AUX
hjic-126	221	128	been	be	AUX
hjic-126	221	129	shown	show	VERB
hjic-126	221	130	in	in	ADP
hjic-126	221	131	a	a	DET
hjic-126	221	132	mathematical	mathematical	ADJ
hjic-126	221	133	way	way	NOUN
hjic-126	221	134	that	that	PRON
hjic-126	221	135	support	support	VERB
hjic-126	221	136	vector	vector	NOUN
hjic-126	221	137	based	base	VERB
hjic-126	221	138	techniques	technique	NOUN
hjic-126	221	139	and	and	CCONJ
hjic-126	221	140	fuzzy	fuzzy	ADJ
hjic-126	221	141	rule	rule	NOUN
hjic-126	221	142	-	-	PUNCT
hjic-126	221	143	based	base	VERB
hjic-126	221	144	models	model	NOUN
hjic-126	221	145	work	work	VERB
hjic-126	221	146	in	in	ADP
hjic-126	221	147	a	a	DET
hjic-126	221	148	similar	similar	ADJ
hjic-126	221	149	manner	manner	NOUN
hjic-126	221	150	as	as	SCONJ
hjic-126	221	151	both	both	DET
hjic-126	221	152	models	model	NOUN
hjic-126	221	153	maps	map	VERB
hjic-126	221	154	the	the	DET
hjic-126	221	155	input	input	NOUN
hjic-126	221	156	space	space	NOUN
hjic-126	221	157	of	of	ADP
hjic-126	221	158	the	the	DET
hjic-126	221	159	problem	problem	NOUN
hjic-126	221	160	into	into	ADP
hjic-126	221	161	a	a	DET
hjic-126	221	162	feature	feature	NOUN
hjic-126	221	163	space	space	NOUN
hjic-126	221	164	with	with	ADP
hjic-126	221	165	the	the	DET
hjic-126	221	166	use	use	NOUN
hjic-126	221	167	of	of	ADP
hjic-126	221	168	either	either	CCONJ
hjic-126	221	169	nonlinear	nonlinear	ADJ
hjic-126	221	170	kernel	kernel	NOUN
hjic-126	221	171	or	or	CCONJ
hjic-126	221	172	membership	membership	NOUN
hjic-126	221	173	functions	function	NOUN
hjic-126	221	174	.	.	PUNCT
hjic-126	222	1	the	the	DET
hjic-126	222	2	main	main	ADJ
hjic-126	222	3	difference	difference	NOUN
hjic-126	222	4	between	between	ADP
hjic-126	222	5	support	support	NOUN
hjic-126	222	6	vector	vector	NOUN
hjic-126	222	7	based	base	VERB
hjic-126	222	8	and	and	CCONJ
hjic-126	222	9	fuzzy	fuzzy	ADJ
hjic-126	222	10	rule	rule	NOUN
hjic-126	222	11	-	-	PUNCT
hjic-126	222	12	based	base	VERB
hjic-126	222	13	systems	system	NOUN
hjic-126	222	14	is	be	AUX
hjic-126	222	15	that	that	SCONJ
hjic-126	222	16	fuzzy	fuzzy	ADJ
hjic-126	222	17	systems	system	NOUN
hjic-126	222	18	have	have	VERB
hjic-126	222	19	to	to	PART
hjic-126	222	20	fulfil	fulfil	VERB
hjic-126	222	21	two	two	NUM
hjic-126	222	22	objectives	objective	NOUN
hjic-126	222	23	simultaneously	simultaneously	ADV
hjic-126	222	24	,	,	PUNCT
hjic-126	222	25	i.e.	i.e.	X
hjic-126	222	26	,	,	PUNCT
hjic-126	222	27	they	they	PRON
hjic-126	222	28	must	must	AUX
hjic-126	222	29	provide	provide	VERB
hjic-126	222	30	a	a	DET
hjic-126	222	31	good	good	ADJ
hjic-126	222	32	modelling	modelling	NOUN
hjic-126	222	33	performance	performance	NOUN
hjic-126	222	34	and	and	CCONJ
hjic-126	222	35	must	must	AUX
hjic-126	222	36	also	also	ADV
hjic-126	222	37	be	be	AUX
hjic-126	222	38	linguistically	linguistically	ADV
hjic-126	222	39	interpretable	interpretable	ADJ
hjic-126	222	40	,	,	PUNCT
hjic-126	222	41	which	which	PRON
hjic-126	222	42	is	be	AUX
hjic-126	222	43	not	not	PART
hjic-126	222	44	an	an	DET
hjic-126	222	45	issue	issue	NOUN
hjic-126	222	46	for	for	ADP
hjic-126	222	47	support	support	NOUN
hjic-126	222	48	vector	vector	NOUN
hjic-126	222	49	systems	system	NOUN
hjic-126	222	50	.	.	PUNCT
hjic-126	223	1	however	however	ADV
hjic-126	223	2	,	,	PUNCT
hjic-126	223	3	as	as	SCONJ
hjic-126	223	4	the	the	DET
hjic-126	223	5	structure	structure	NOUN
hjic-126	223	6	identification	identification	NOUN
hjic-126	223	7	of	of	ADP
hjic-126	223	8	fuzzy	fuzzy	ADJ
hjic-126	223	9	systems	system	NOUN
hjic-126	223	10	is	be	AUX
hjic-126	223	11	a	a	DET
hjic-126	223	12	challenging	challenging	ADJ
hjic-126	223	13	task	task	NOUN
hjic-126	223	14	,	,	PUNCT
hjic-126	223	15	the	the	DET
hjic-126	223	16	application	application	NOUN
hjic-126	223	17	of	of	ADP
hjic-126	223	18	kernel	kernel	NOUN
hjic-126	223	19	-	-	PUNCT
hjic-126	223	20	based	base	VERB
hjic-126	223	21	methods	method	NOUN
hjic-126	223	22	for	for	ADP
hjic-126	223	23	model	model	NOUN
hjic-126	223	24	initialization	initialization	NOUN
hjic-126	223	25	could	could	AUX
hjic-126	223	26	be	be	AUX
hjic-126	223	27	advantageous	advantageous	ADJ
hjic-126	223	28	because	because	SCONJ
hjic-126	223	29	of	of	ADP
hjic-126	223	30	the	the	DET
hjic-126	223	31	high	high	ADJ
hjic-126	223	32	performance	performance	NOUN
hjic-126	223	33	and	and	CCONJ
hjic-126	223	34	the	the	DET
hjic-126	223	35	good	good	ADJ
hjic-126	223	36	generalization	generalization	NOUN
hjic-126	223	37	properties	property	NOUN
hjic-126	223	38	of	of	ADP
hjic-126	223	39	these	these	DET
hjic-126	223	40	type	type	NOUN
hjic-126	223	41	of	of	ADP
hjic-126	223	42	models	model	NOUN
hjic-126	223	43	.	.	PUNCT
hjic-126	224	1	accordingly	accordingly	ADV
hjic-126	224	2	,	,	PUNCT
hjic-126	224	3	support	support	VERB
hjic-126	224	4	vector	vector	NOUN
hjic-126	224	5	-	-	PUNCT
hjic-126	224	6	based	base	VERB
hjic-126	224	7	initialization	initialization	NOUN
hjic-126	224	8	of	of	ADP
hjic-126	224	9	fuzzy	fuzzy	ADJ
hjic-126	224	10	rule	rule	NOUN
hjic-126	224	11	-	-	PUNCT
hjic-126	224	12	based	base	VERB
hjic-126	224	13	model	model	NOUN
hjic-126	224	14	is	be	AUX
hjic-126	224	15	used	use	VERB
hjic-126	224	16	in	in	ADP
hjic-126	224	17	this	this	DET
hjic-126	224	18	paper	paper	NOUN
hjic-126	224	19	.	.	PUNCT
hjic-126	225	1	first	first	ADV
hjic-126	225	2	,	,	PUNCT
hjic-126	225	3	the	the	DET
hjic-126	225	4	initial	initial	ADJ
hjic-126	225	5	fuzzy	fuzzy	ADJ
hjic-126	225	6	model	model	NOUN
hjic-126	225	7	is	be	AUX
hjic-126	225	8	derived	derive	VERB
hjic-126	225	9	by	by	ADP
hjic-126	225	10	means	mean	NOUN
hjic-126	225	11	of	of	ADP
hjic-126	225	12	the	the	DET
hjic-126	225	13	support	support	NOUN
hjic-126	225	14	vector	vector	NOUN
hjic-126	225	15	learning	learning	NOUN
hjic-126	225	16	algorithm	algorithm	NOUN
hjic-126	225	17	.	.	PUNCT
hjic-126	226	1	then	then	ADV
hjic-126	226	2	the	the	DET
hjic-126	226	3	support	support	NOUN
hjic-126	226	4	vector	vector	NOUN
hjic-126	226	5	model	model	NOUN
hjic-126	226	6	is	be	AUX
hjic-126	226	7	transformed	transform	VERB
hjic-126	226	8	into	into	ADP
hjic-126	226	9	an	an	DET
hjic-126	226	10	initial	initial	ADJ
hjic-126	226	11	fuzzy	fuzzy	ADJ
hjic-126	226	12	model	model	NOUN
hjic-126	226	13	that	that	PRON
hjic-126	226	14	is	be	AUX
hjic-126	226	15	subsequently	subsequently	ADV
hjic-126	226	16	reduced	reduce	VERB
hjic-126	226	17	by	by	ADP
hjic-126	226	18	means	mean	NOUN
hjic-126	226	19	of	of	ADP
hjic-126	226	20	the	the	DET
hjic-126	226	21	reduced	reduce	VERB
hjic-126	226	22	set	set	NOUN
hjic-126	226	23	method	method	NOUN
hjic-126	226	24	,	,	PUNCT
hjic-126	226	25	similarity	similarity	NOUN
hjic-126	226	26	-	-	PUNCT
hjic-126	226	27	based	base	VERB
hjic-126	226	28	fuzzy	fuzzy	ADJ
hjic-126	226	29	set	set	NOUN
hjic-126	226	30	merging	merging	NOUN
hjic-126	226	31	,	,	PUNCT
hjic-126	226	32	and	and	CCONJ
hjic-126	226	33	orthogonal	orthogonal	ADJ
hjic-126	226	34	transform	transform	NOUN
hjic-126	226	35	-	-	PUNCT
hjic-126	226	36	based	base	VERB
hjic-126	226	37	rule	rule	NOUN
hjic-126	226	38	-	-	PUNCT
hjic-126	226	39	reduction	reduction	NOUN
hjic-126	226	40	.	.	PUNCT
hjic-126	227	1	because	because	SCONJ
hjic-126	227	2	these	these	DET
hjic-126	227	3	rule	rule	NOUN
hjic-126	227	4	-	-	PUNCT
hjic-126	227	5	base	base	NOUN
hjic-126	227	6	simplification	simplification	NOUN
hjic-126	227	7	steps	step	NOUN
hjic-126	227	8	do	do	AUX
hjic-126	227	9	not	not	PART
hjic-126	227	10	utilize	utilize	VERB
hjic-126	227	11	any	any	DET
hjic-126	227	12	nonlinear	nonlinear	ADJ
hjic-126	227	13	optimization	optimization	NOUN
hjic-126	227	14	tools	tool	NOUN
hjic-126	227	15	,	,	PUNCT
hjic-126	227	16	it	it	PRON
hjic-126	227	17	is	be	AUX
hjic-126	227	18	computationally	computationally	ADV
hjic-126	227	19	cheap	cheap	ADJ
hjic-126	227	20	and	and	CCONJ
hjic-126	227	21	easy	easy	ADJ
hjic-126	227	22	to	to	PART
hjic-126	227	23	implement	implement	VERB
hjic-126	227	24	.	.	PUNCT
hjic-126	228	1	the	the	DET
hjic-126	228	2	application	application	NOUN
hjic-126	228	3	of	of	ADP
hjic-126	228	4	the	the	DET
hjic-126	228	5	proposed	propose	VERB
hjic-126	228	6	approach	approach	NOUN
hjic-126	228	7	is	be	AUX
hjic-126	228	8	shown	show	VERB
hjic-126	228	9	for	for	ADP
hjic-126	228	10	the	the	DET
hjic-126	228	11	wisconsin	wisconsin	PROPN
hjic-126	228	12	breast	breast	NOUN
hjic-126	228	13	cancer	cancer	NOUN
hjic-126	228	14	as	as	ADP
hjic-126	228	15	a	a	DET
hjic-126	228	16	classification	classification	NOUN
hjic-126	228	17	problem	problem	NOUN
hjic-126	228	18	and	and	CCONJ
hjic-126	228	19	regress	regress	ADJ
hjic-126	228	20	data	datum	NOUN
hjic-126	228	21	and	and	CCONJ
hjic-126	228	22	hammerstein	hammerstein	PROPN
hjic-126	228	23	system	system	NOUN
hjic-126	228	24	identification	identification	NOUN
hjic-126	228	25	as	as	ADP
hjic-126	228	26	a	a	DET
hjic-126	228	27	regression	regression	NOUN
hjic-126	228	28	problem	problem	NOUN
hjic-126	228	29	.	.	PUNCT
hjic-126	229	1	the	the	DET
hjic-126	229	2	obtained	obtain	VERB
hjic-126	229	3	models	model	NOUN
hjic-126	229	4	are	be	AUX
hjic-126	229	5	very	very	ADV
hjic-126	229	6	compact	compact	ADJ
hjic-126	229	7	but	but	CCONJ
hjic-126	229	8	their	their	PRON
hjic-126	229	9	accuracy	accuracy	NOUN
hjic-126	229	10	is	be	AUX
hjic-126	229	11	still	still	ADV
hjic-126	229	12	adequate	adequate	ADJ
hjic-126	229	13	.	.	PUNCT
hjic-126	230	1	besides	besides	ADV
hjic-126	230	2	,	,	PUNCT
hjic-126	230	3	it	it	PRON
hjic-126	230	4	might	might	AUX
hjic-126	230	5	be	be	AUX
hjic-126	230	6	clear	clear	ADJ
hjic-126	230	7	that	that	SCONJ
hjic-126	230	8	still	still	ADV
hjic-126	230	9	real	real	ADJ
hjic-126	230	10	progress	progress	NOUN
hjic-126	230	11	can	can	AUX
hjic-126	230	12	be	be	AUX
hjic-126	230	13	made	make	VERB
hjic-126	230	14	in	in	ADP
hjic-126	230	15	the	the	DET
hjic-126	230	16	development	development	NOUN
hjic-126	230	17	of	of	ADP
hjic-126	230	18	novel	novel	ADJ
hjic-126	230	19	methods	method	NOUN
hjic-126	230	20	for	for	ADP
hjic-126	230	21	feature	feature	NOUN
hjic-126	230	22	selection	selection	NOUN
hjic-126	230	23	.	.	PUNCT
hjic-126	231	1	we	we	PRON
hjic-126	231	2	intend	intend	VERB
hjic-126	231	3	this	this	DET
hjic-126	231	4	paper	paper	NOUN
hjic-126	231	5	also	also	ADV
hjic-126	231	6	as	as	ADP
hjic-126	231	7	a	a	DET
hjic-126	231	8	case	case	NOUN
hjic-126	231	9	study	study	NOUN
hjic-126	231	10	for	for	ADP
hjic-126	231	11	further	further	ADJ
hjic-126	231	12	developments	development	NOUN
hjic-126	231	13	in	in	ADP
hjic-126	231	14	the	the	DET
hjic-126	231	15	direction	direction	NOUN
hjic-126	231	16	of	of	ADP
hjic-126	231	17	a	a	DET
hjic-126	231	18	combination	combination	NOUN
hjic-126	231	19	-	-	PUNCT
hjic-126	231	20	of	of	ADP
hjic-126	231	21	-	-	PUNCT
hjic-126	231	22	tools	tool	NOUN
hjic-126	231	23	methodology	methodology	NOUN
hjic-126	231	24	for	for	ADP
hjic-126	231	25	modelling	modelling	NOUN
hjic-126	231	26	and	and	CCONJ
hjic-126	231	27	identification	identification	NOUN
hjic-126	231	28	,	,	PUNCT
hjic-126	231	29	aiming	aim	VERB
hjic-126	231	30	at	at	ADP
hjic-126	231	31	models	model	NOUN
hjic-126	231	32	that	that	PRON
hjic-126	231	33	perform	perform	VERB
hjic-126	231	34	well	well	ADV
hjic-126	231	35	on	on	ADP
hjic-126	231	36	multiple	multiple	ADJ
hjic-126	231	37	criteria	criterion	NOUN
hjic-126	231	38	,	,	PUNCT
hjic-126	231	39	considering	consider	VERB
hjic-126	231	40	here	here	ADV
hjic-126	231	41	different	different	ADJ
hjic-126	231	42	soft	soft	ADJ
hjic-126	231	43	-	-	PUNCT
hjic-126	231	44	computing	compute	VERB
hjic-126	231	45	tools	tool	NOUN
hjic-126	231	46	,	,	PUNCT
hjic-126	231	47	namely	namely	ADV
hjic-126	231	48	support	support	VERB
hjic-126	231	49	vector	vector	NOUN
hjic-126	231	50	machines	machine	NOUN
hjic-126	231	51	and	and	CCONJ
hjic-126	231	52	fuzzy	fuzzy	ADJ
hjic-126	231	53	techniques	technique	NOUN
hjic-126	231	54	are	be	AUX
hjic-126	231	55	combined	combine	VERB
hjic-126	231	56	to	to	PART
hjic-126	231	57	achieve	achieve	VERB
hjic-126	231	58	a	a	DET
hjic-126	231	59	predefined	predefine	VERB
hjic-126	231	60	trade	trade	NOUN
hjic-126	231	61	-	-	PUNCT
hjic-126	231	62	off	off	NOUN
hjic-126	231	63	between	between	ADP
hjic-126	231	64	performance	performance	NOUN
hjic-126	231	65	and	and	CCONJ
hjic-126	231	66	transparency	transparency	NOUN
hjic-126	231	67	.	.	PUNCT
hjic-126	232	1	acknowledgement	acknowledgement	NOUN
hjic-126	232	2	the	the	DET
hjic-126	232	3	authors	author	NOUN
hjic-126	232	4	would	would	AUX
hjic-126	232	5	like	like	VERB
hjic-126	232	6	to	to	PART
hjic-126	232	7	acknowledge	acknowledge	VERB
hjic-126	232	8	the	the	DET
hjic-126	232	9	support	support	NOUN
hjic-126	232	10	of	of	ADP
hjic-126	232	11	the	the	DET
hjic-126	232	12	cooperative	cooperative	ADJ
hjic-126	232	13	research	research	NOUN
hjic-126	232	14	centre	centre	NOUN
hjic-126	232	15	(	(	PUNCT
hjic-126	232	16	vikkk	vikkk	PROPN
hjic-126	232	17	)	)	PUNCT
hjic-126	232	18	(	(	PUNCT
hjic-126	232	19	project	project	NOUN
hjic-126	232	20	2004	2004	NUM
hjic-126	232	21	-	-	SYM
hjic-126	232	22	i	i	PROPN
hjic-126	232	23	)	)	PUNCT
hjic-126	232	24	and	and	CCONJ
hjic-126	232	25	hungarian	hungarian	ADJ
hjic-126	232	26	research	research	NOUN
hjic-126	232	27	found	find	VERB
hjic-126	232	28	(	(	PUNCT
hjic-126	232	29	otka	otka	PROPN
hjic-126	232	30	t049534	t049534	NUM
hjic-126	232	31	)	)	PUNCT
hjic-126	232	32	.	.	PUNCT
hjic-126	233	1	jános	jános	PROPN
hjic-126	233	2	abonyi	abonyi	PROPN
hjic-126	233	3	is	be	AUX
hjic-126	233	4	grateful	grateful	ADJ
hjic-126	233	5	for	for	ADP
hjic-126	233	6	the	the	DET
hjic-126	233	7	support	support	NOUN
hjic-126	233	8	of	of	ADP
hjic-126	233	9	the	the	DET
hjic-126	233	10	bolyai	bolyai	NOUN
hjic-126	233	11	research	research	NOUN
hjic-126	233	12	fellowship	fellowship	NOUN
hjic-126	233	13	of	of	ADP
hjic-126	233	14	the	the	DET
hjic-126	233	15	hungarian	hungarian	ADJ
hjic-126	233	16	academy	academy	PROPN
hjic-126	233	17	of	of	ADP
hjic-126	233	18	sciences	sciences	PROPN
hjic-126	233	19	.	.	PUNCT
hjic-126	234	1	references	reference	NOUN
hjic-126	234	2	1	1	NUM
hjic-126	234	3	.	.	PUNCT
hjic-126	234	4	abonyi	abonyi	PROPN
hjic-126	234	5	j.	j.	PROPN
hjic-126	234	6	,	,	PUNCT
hjic-126	234	7	feil	feil	PROPN
hjic-126	234	8	b.	b.	PROPN
hjic-126	234	9	:	:	PUNCT
hjic-126	234	10	computational	computational	ADJ
hjic-126	234	11	intelligence	intelligence	NOUN
hjic-126	234	12	in	in	ADP
hjic-126	234	13	data	datum	NOUN
hjic-126	234	14	mining	mining	NOUN
hjic-126	234	15	,	,	PUNCT
hjic-126	234	16	informatica	informatica	PROPN
hjic-126	234	17	29	29	NUM
hjic-126	234	18	(	(	PUNCT
hjic-126	234	19	2005	2005	NUM
hjic-126	234	20	)	)	PUNCT
hjic-126	234	21	3	3	NUM
hjic-126	234	22	-	-	SYM
hjic-126	234	23	12	12	NUM
hjic-126	234	24	2	2	NUM
hjic-126	234	25	.	.	PUNCT
hjic-126	234	26	kecman	kecman	PROPN
hjic-126	234	27	v.	v.	PROPN
hjic-126	234	28	:	:	PUNCT
hjic-126	234	29	learning	learning	NOUN
hjic-126	234	30	and	and	CCONJ
hjic-126	234	31	soft	soft	ADJ
hjic-126	234	32	computing	computing	NOUN
hjic-126	234	33	,	,	PUNCT
hjic-126	234	34	mit	mit	PROPN
hjic-126	234	35	press	press	NOUN
hjic-126	234	36	2001	2001	NUM
hjic-126	234	37	3	3	NUM
hjic-126	234	38	.	.	PUNCT
hjic-126	234	39	zadeh	zadeh	PROPN
hjic-126	234	40	l.	l.	PROPN
hjic-126	234	41	a.	a.	PROPN
hjic-126	234	42	:	:	PUNCT
hjic-126	234	43	fuzzy	fuzzy	ADJ
hjic-126	234	44	logic	logic	NOUN
hjic-126	234	45	,	,	PUNCT
hjic-126	234	46	neural	neural	ADJ
hjic-126	234	47	networks	network	NOUN
hjic-126	234	48	,	,	PUNCT
hjic-126	234	49	and	and	CCONJ
hjic-126	234	50	soft	soft	ADJ
hjic-126	234	51	computing	computing	NOUN
hjic-126	234	52	,	,	PUNCT
hjic-126	234	53	communications	communication	NOUN
hjic-126	234	54	of	of	ADP
hjic-126	234	55	the	the	DET
hjic-126	234	56	acm	acm	NOUN
hjic-126	234	57	,	,	PUNCT
hjic-126	234	58	vol	vol	NOUN
hjic-126	234	59	.	.	PROPN
hjic-126	234	60	37	37	NUM
hjic-126	234	61	(	(	PUNCT
hjic-126	234	62	1994	1994	NUM
hjic-126	234	63	)	)	PUNCT
hjic-126	234	64	,	,	PUNCT
hjic-126	234	65	issue	issue	NOUN
hjic-126	234	66	3	3	NUM
hjic-126	234	67	,	,	PUNCT
hjic-126	234	68	77	77	NUM
hjic-126	234	69	-	-	SYM
hjic-126	234	70	84	84	NUM
hjic-126	234	71	4	4	NUM
hjic-126	234	72	.	.	PUNCT
hjic-126	234	73	schölkopf	schölkopf	PROPN
hjic-126	234	74	b.	b.	PROPN
hjic-126	234	75	,	,	PUNCT
hjic-126	234	76	mika	mika	PROPN
hjic-126	234	77	s.	s.	PROPN
hjic-126	234	78	,	,	PUNCT
hjic-126	234	79	burges	burges	PROPN
hjic-126	234	80	c.	c.	PROPN
hjic-126	234	81	j.	j.	PROPN
hjic-126	234	82	c.	c.	PROPN
hjic-126	234	83	,	,	PUNCT
hjic-126	234	84	knirsch	knirsch	PROPN
hjic-126	234	85	p.	p.	PROPN
hjic-126	234	86	,	,	PUNCT
hjic-126	234	87	müller	müller	PROPN
hjic-126	234	88	k.-r	k.-r	PROPN
hjic-126	234	89	.	.	PUNCT
hjic-126	234	90	,	,	PUNCT
hjic-126	234	91	ratsch	ratsch	PROPN
hjic-126	234	92	g.	g.	PROPN
hjic-126	234	93	,	,	PUNCT
hjic-126	234	94	smola	smola	PROPN
hjic-126	234	95	a.	a.	NOUN
hjic-126	234	96	:	:	PUNCT
hjic-126	234	97	input	input	NOUN
hjic-126	234	98	space	space	NOUN
hjic-126	234	99	vs.	vs.	ADP
hjic-126	234	100	feature	feature	NOUN
hjic-126	234	101	space	space	NOUN
hjic-126	234	102	in	in	ADP
hjic-126	234	103	kernel	kernel	NOUN
hjic-126	234	104	-	-	PUNCT
hjic-126	234	105	based	base	VERB
hjic-126	234	106	methods	method	NOUN
hjic-126	234	107	,	,	PUNCT
hjic-126	234	108	ieee	ieee	NOUN
hjic-126	234	109	trans	tran	NOUN
hjic-126	234	110	.	.	PUNCT
hjic-126	235	1	on	on	ADP
hjic-126	235	2	neural	neural	ADJ
hjic-126	235	3	networks	network	NOUN
hjic-126	235	4	,	,	PUNCT
hjic-126	235	5	vol	vol	NOUN
hjic-126	235	6	.	.	PUNCT
hjic-126	235	7	10(5	10(5	NUM
hjic-126	235	8	)	)	PUNCT
hjic-126	235	9	(	(	PUNCT
hjic-126	235	10	1999	1999	NUM
hjic-126	235	11	)	)	PUNCT
hjic-126	235	12	5	5	NUM
hjic-126	235	13	.	.	X
hjic-126	235	14	setnes	setne	NOUN
hjic-126	235	15	m.	m.	PROPN
hjic-126	235	16	,	,	PUNCT
hjic-126	235	17	babuska	babuska	PROPN
hjic-126	235	18	r.	r.	PROPN
hjic-126	235	19	,	,	PUNCT
hjic-126	235	20	kaymak	kaymak	PROPN
hjic-126	235	21	u.	u.	PROPN
hjic-126	235	22	,	,	PUNCT
hjic-126	235	23	van	van	PROPN
hjic-126	235	24	nauta	nauta	PROPN
hjic-126	235	25	lemke	lemke	PROPN
hjic-126	235	26	h.	h.	PROPN
hjic-126	235	27	r.	r.	PROPN
hjic-126	235	28	:	:	PUNCT
hjic-126	235	29	similarity	similarity	NOUN
hjic-126	235	30	measures	measure	NOUN
hjic-126	235	31	in	in	ADP
hjic-126	235	32	fuzzy	fuzzy	ADJ
hjic-126	235	33	rule	rule	NOUN
hjic-126	235	34	base	base	NOUN
hjic-126	235	35	simplification	simplification	NOUN
hjic-126	235	36	,	,	PUNCT
hjic-126	235	37	ieee	ieee	NOUN
hjic-126	235	38	trans	trans	PROPN
hjic-126	235	39	.	.	PUNCT
hjic-126	236	1	smc	smc	PROPN
hjic-126	236	2	-	-	PROPN
hjic-126	236	3	b	b	PROPN
hjic-126	236	4	,	,	PUNCT
hjic-126	236	5	vol	vol	NOUN
hjic-126	236	6	.	.	PROPN
hjic-126	237	1	28	28	NUM
hjic-126	237	2	(	(	PUNCT
hjic-126	237	3	1998	1998	NUM
hjic-126	237	4	)	)	PUNCT
hjic-126	237	5	,	,	PUNCT
hjic-126	237	6	376	376	NUM
hjic-126	237	7	-	-	SYM
hjic-126	237	8	386	386	NUM
hjic-126	237	9	6	6	NUM
hjic-126	237	10	.	.	PUNCT
hjic-126	237	11	yen	yen	PROPN
hjic-126	237	12	j.	j.	PROPN
hjic-126	237	13	,	,	PUNCT
hjic-126	237	14	wang	wang	PROPN
hjic-126	237	15	l.	l.	PROPN
hjic-126	237	16	:	:	PUNCT
hjic-126	237	17	simplifying	simplify	VERB
hjic-126	237	18	fuzzy	fuzzy	ADJ
hjic-126	237	19	rule	rule	NOUN
hjic-126	237	20	-	-	PUNCT
hjic-126	237	21	based	base	VERB
hjic-126	237	22	models	model	NOUN
hjic-126	237	23	using	use	VERB
hjic-126	237	24	orthogonal	orthogonal	ADJ
hjic-126	237	25	transformation	transformation	NOUN
hjic-126	237	26	methods	method	NOUN
hjic-126	237	27	,	,	PUNCT
hjic-126	237	28	ieee	ieee	NOUN
hjic-126	237	29	trans	trans	PROPN
hjic-126	237	30	.	.	PUNCT
hjic-126	238	1	smc	smc	PROPN
hjic-126	238	2	-	-	PROPN
hjic-126	238	3	b	b	PROPN
hjic-126	238	4	vol	vol	NOUN
hjic-126	238	5	.	.	PROPN
hjic-126	238	6	29	29	NUM
hjic-126	238	7	,	,	PUNCT
hjic-126	238	8	(	(	PUNCT
hjic-126	238	9	1999	1999	NUM
hjic-126	238	10	)	)	PUNCT
hjic-126	238	11	,	,	PUNCT
hjic-126	238	12	13	13	NUM
hjic-126	238	13	-	-	SYM
hjic-126	238	14	24	24	NUM
hjic-126	238	15	7	7	NUM
hjic-126	238	16	.	.	PUNCT
hjic-126	239	1	setnes	setne	NOUN
hjic-126	239	2	m.	m.	PROPN
hjic-126	239	3	,	,	PUNCT
hjic-126	239	4	hellendoorn	hellendoorn	PROPN
hjic-126	239	5	h.	h.	NOUN
hjic-126	239	6	:	:	PUNCT
hjic-126	239	7	orthogonal	orthogonal	NOUN
hjic-126	239	8	transforms	transform	VERB
hjic-126	239	9	for	for	ADP
hjic-126	239	10	ordering	ordering	NOUN
hjic-126	239	11	and	and	CCONJ
hjic-126	239	12	reduction	reduction	NOUN
hjic-126	239	13	of	of	ADP
hjic-126	239	14	fuzzy	fuzzy	ADJ
hjic-126	239	15	rules	rule	NOUN
hjic-126	239	16	,	,	PUNCT
hjic-126	239	17	in	in	ADP
hjic-126	239	18	fuzzieee	fuzzieee	NOUN
hjic-126	239	19	700	700	NUM
hjic-126	239	20	-	-	SYM
hjic-126	239	21	705,san	705,san	NUM
hjic-126	239	22	antonio	antonio	PROPN
hjic-126	239	23	,	,	PUNCT
hjic-126	239	24	texas	texas	PROPN
hjic-126	239	25	,	,	PUNCT
hjic-126	239	26	usa	usa	PROPN
hjic-126	239	27	2000	2000	NUM
hjic-126	239	28	8	8	NUM
hjic-126	239	29	.	.	PUNCT
hjic-126	240	1	cortes	corte	VERB
hjic-126	240	2	c.	c.	PROPN
hjic-126	240	3	,	,	PUNCT
hjic-126	240	4	vapnik	vapnik	X
hjic-126	241	1	v.	v.	NOUN
hjic-126	241	2	:	:	PUNCT
hjic-126	241	3	support	support	NOUN
hjic-126	241	4	-	-	PUNCT
hjic-126	241	5	vector	vector	NOUN
hjic-126	241	6	networks	network	NOUN
hjic-126	241	7	,	,	PUNCT
hjic-126	241	8	at&t	at&t	PROPN
hjic-126	241	9	research	research	PROPN
hjic-126	241	10	labs	labs	PROPN
hjic-126	241	11	,	,	PUNCT
hjic-126	241	12	usa	usa	PROPN
hjic-126	241	13	1995	1995	NUM
hjic-126	241	14	9	9	NUM
hjic-126	241	15	.	.	PUNCT
hjic-126	241	16	smola	smola	PROPN
hjic-126	241	17	a.	a.	PROPN
hjic-126	241	18	j.	j.	PROPN
hjic-126	241	19	,	,	PUNCT
hjic-126	241	20	schölkopf	schölkopf	PROPN
hjic-126	241	21	b.	b.	PROPN
hjic-126	241	22	:	:	PUNCT
hjic-126	241	23	a	a	DET
hjic-126	241	24	tutorial	tutorial	NOUN
hjic-126	241	25	on	on	ADP
hjic-126	241	26	support	support	NOUN
hjic-126	241	27	vector	vector	NOUN
hjic-126	241	28	regression	regression	NOUN
hjic-126	241	29	,	,	PUNCT
hjic-126	241	30	statistics	statistic	NOUN
hjic-126	241	31	and	and	CCONJ
hjic-126	241	32	computing	compute	VERB
hjic-126	241	33	14	14	NUM
hjic-126	241	34	,	,	PUNCT
hjic-126	241	35	199	199	NUM
hjic-126	241	36	-	-	SYM
hjic-126	241	37	222	222	NUM
hjic-126	241	38	,	,	PUNCT
hjic-126	241	39	2004	2004	NUM
hjic-126	241	40	10	10	NUM
hjic-126	241	41	.	.	PUNCT
hjic-126	242	1	takagi	takagi	PROPN
hjic-126	242	2	t.	t.	PROPN
hjic-126	242	3	,	,	PUNCT
hjic-126	242	4	sugeno	sugeno	NOUN
hjic-126	242	5	m.	m.	NOUN
hjic-126	242	6	:	:	PUNCT
hjic-126	242	7	fuzzy	fuzzy	ADJ
hjic-126	242	8	identification	identification	NOUN
hjic-126	242	9	of	of	ADP
hjic-126	242	10	systems	system	NOUN
hjic-126	242	11	and	and	CCONJ
hjic-126	242	12	its	its	PRON
hjic-126	242	13	application	application	NOUN
hjic-126	242	14	to	to	ADP
hjic-126	242	15	modelling	modelling	NOUN
hjic-126	242	16	and	and	CCONJ
hjic-126	242	17	control	control	NOUN
hjic-126	242	18	,	,	PUNCT
hjic-126	242	19	ieee	ieee	NOUN
hjic-126	242	20	trans	trans	PROPN
hjic-126	242	21	.	.	PUNCT
hjic-126	243	1	smc	smc	PROPN
hjic-126	243	2	vol	vol	NOUN
hjic-126	243	3	.	.	PROPN
hjic-126	244	1	15	15	NUM
hjic-126	244	2	(	(	PUNCT
hjic-126	244	3	1985	1985	NUM
hjic-126	244	4	)	)	PUNCT
hjic-126	244	5	116	116	NUM
hjic-126	244	6	-	-	SYM
hjic-126	244	7	132	132	NUM
hjic-126	244	8	11	11	NUM
hjic-126	244	9	.	.	PUNCT
hjic-126	245	1	gunn	gunn	PROPN
hjic-126	245	2	s.	s.	PROPN
hjic-126	245	3	r.	r.	PROPN
hjic-126	245	4	:	:	PUNCT
hjic-126	245	5	support	support	VERB
hjic-126	245	6	vector	vector	NOUN
hjic-126	245	7	machines	machine	NOUN
hjic-126	245	8	for	for	ADP
hjic-126	245	9	classification	classification	NOUN
hjic-126	245	10	and	and	CCONJ
hjic-126	245	11	regression	regression	NOUN
hjic-126	245	12	,	,	PUNCT
hjic-126	245	13	technical	technical	ADJ
hjic-126	245	14	report	report	NOUN
hjic-126	245	15	1998	1998	NUM
hjic-126	245	16	108	108	NUM
hjic-126	245	17	12	12	NUM
hjic-126	245	18	.	.	PUNCT
hjic-126	246	1	setnes	setne	NOUN
hjic-126	246	2	m.	m.	PROPN
hjic-126	246	3	,	,	PUNCT
hjic-126	246	4	babuska	babuska	PROPN
hjic-126	246	5	r.	r.	PROPN
hjic-126	246	6	,	,	PUNCT
hjic-126	246	7	kaymak	kaymak	PROPN
hjic-126	246	8	u.	u.	PROPN
hjic-126	246	9	,	,	PUNCT
hjic-126	246	10	van	van	PROPN
hjic-126	246	11	nauta	nauta	PROPN
hjic-126	246	12	lemke	lemke	PROPN
hjic-126	246	13	h.	h.	PROPN
hjic-126	246	14	r.	r.	PROPN
hjic-126	246	15	:	:	PUNCT
hjic-126	246	16	similarity	similarity	NOUN
hjic-126	246	17	measures	measure	NOUN
hjic-126	246	18	in	in	ADP
hjic-126	246	19	fuzzy	fuzzy	ADJ
hjic-126	246	20	rule	rule	NOUN
hjic-126	246	21	base	base	NOUN
hjic-126	246	22	simplification	simplification	NOUN
hjic-126	246	23	13	13	NUM
hjic-126	246	24	.	.	PUNCT
hjic-126	247	1	jin	jin	PROPN
hjic-126	247	2	y.	y.	PROPN
hjic-126	247	3	:	:	PUNCT
hjic-126	247	4	fuzzy	fuzzy	ADJ
hjic-126	247	5	modelling	modelling	NOUN
hjic-126	247	6	of	of	ADP
hjic-126	247	7	high	high	ADJ
hjic-126	247	8	-	-	PUNCT
hjic-126	247	9	dimensional	dimensional	ADJ
hjic-126	247	10	systems	system	NOUN
hjic-126	247	11	,	,	PUNCT
hjic-126	247	12	ieee	ieee	NOUN
hjic-126	247	13	trans	tran	NOUN
hjic-126	247	14	.	.	PUNCT
hjic-126	248	1	fs	f	NOUN
hjic-126	248	2	vol	vol	NOUN
hjic-126	248	3	.	.	PROPN
hjic-126	248	4	8	8	NUM
hjic-126	248	5	(	(	PUNCT
hjic-126	248	6	2000	2000	NUM
hjic-126	248	7	)	)	PUNCT
hjic-126	248	8	212	212	NUM
hjic-126	248	9	-	-	SYM
hjic-126	248	10	221	221	NUM
hjic-126	248	11	14	14	NUM
hjic-126	248	12	.	.	PUNCT
hjic-126	249	1	yen	yen	PROPN
hjic-126	249	2	j.	j.	PROPN
hjic-126	249	3	,	,	PUNCT
hjic-126	249	4	wang	wang	PROPN
hjic-126	249	5	l.	l.	PROPN
hjic-126	249	6	:	:	PUNCT
hjic-126	249	7	simplifying	simplify	VERB
hjic-126	249	8	fuzzy	fuzzy	ADJ
hjic-126	249	9	rule	rule	NOUN
hjic-126	249	10	-	-	PUNCT
hjic-126	249	11	based	base	VERB
hjic-126	249	12	models	model	NOUN
hjic-126	249	13	using	use	VERB
hjic-126	249	14	orthogonal	orthogonal	ADJ
hjic-126	249	15	transformation	transformation	NOUN
hjic-126	249	16	methods	method	NOUN
hjic-126	249	17	,	,	PUNCT
hjic-126	249	18	ieee	ieee	NOUN
hjic-126	249	19	trans	trans	PROPN
hjic-126	249	20	.	.	PUNCT
hjic-126	250	1	smc	smc	PROPN
hjic-126	250	2	-	-	PROPN
hjic-126	250	3	b	b	PROPN
hjic-126	250	4	vol	vol	NOUN
hjic-126	250	5	.	.	PROPN
hjic-126	250	6	29	29	NUM
hjic-126	250	7	(	(	PUNCT
hjic-126	250	8	1999	1999	NUM
hjic-126	250	9	)	)	PUNCT
hjic-126	250	10	13	13	NUM
hjic-126	250	11	-	-	SYM
hjic-126	250	12	24	24	NUM