id	sid	tid	token	lemma	pos
ijassa-570	1	1	adv	adv	PROPN
ijassa-570	1	2	syst	syst	PROPN
ijassa-570	1	3	sci	sci	PROPN
ijassa-570	1	4	appl	appl	PROPN
ijassa-570	1	5	2018	2018	NUM
ijassa-570	1	6	;	;	PUNCT
ijassa-570	1	7	1	1	NUM
ijassa-570	1	8	;	;	PUNCT
ijassa-570	1	9	102	102	NUM
ijassa-570	1	10	-	-	SYM
ijassa-570	1	11	109	109	NUM
ijassa-570	1	12	published	publish	VERB
ijassa-570	1	13	online	online	ADV
ijassa-570	1	14	at	at	ADP
ijassa-570	1	15	http://ijassa.ipu.ru	http://ijassa.ipu.ru	ADV
ijassa-570	1	16	.	.	PUNCT
ijassa-570	2	1	copyright	copyright	NOUN
ijassa-570	2	2	©	©	PROPN
ijassa-570	2	3	2018	2018	NUM
ijassa-570	2	4	assa	assa	NOUN
ijassa-570	2	5	.	.	PUNCT
ijassa-570	3	1	adv	adv	PROPN
ijassa-570	3	2	.	.	PUNCT
ijassa-570	4	1	in	in	ADP
ijassa-570	4	2	systems	system	NOUN
ijassa-570	4	3	science	science	NOUN
ijassa-570	4	4	and	and	CCONJ
ijassa-570	4	5	appl	appl	NOUN
ijassa-570	4	6	.	.	PUNCT
ijassa-570	5	1	(	(	PUNCT
ijassa-570	5	2	2018	2018	NUM
ijassa-570	5	3	)	)	PUNCT
ijassa-570	5	4	application	application	NOUN
ijassa-570	5	5	of	of	ADP
ijassa-570	5	6	algorithms	algorithm	NOUN
ijassa-570	5	7	of	of	ADP
ijassa-570	5	8	objectifying	objectifying	ADJ
ijassa-570	5	9	expert	expert	NOUN
ijassa-570	5	10	clustering	clustering	NOUN
ijassa-570	5	11	of	of	ADP
ijassa-570	5	12	multiparameter	multiparameter	NOUN
ijassa-570	5	13	objects	object	NOUN
ijassa-570	5	14	in	in	ADP
ijassa-570	5	15	the	the	DET
ijassa-570	5	16	analysis	analysis	NOUN
ijassa-570	5	17	of	of	ADP
ijassa-570	5	18	big	big	ADJ
ijassa-570	5	19	arrays	array	NOUN
ijassa-570	5	20	of	of	ADP
ijassa-570	5	21	information	information	NOUN
ijassa-570	5	22	vladimir	vladimir	PROPN
ijassa-570	5	23	guchuk	guchuk	PROPN
ijassa-570	5	24	v.a	v.a	PROPN
ijassa-570	5	25	.	.	PROPN
ijassa-570	5	26	trapeznikov	trapeznikov	PROPN
ijassa-570	5	27	institute	institute	PROPN
ijassa-570	5	28	of	of	ADP
ijassa-570	5	29	control	control	PROPN
ijassa-570	5	30	sciences	sciences	PROPN
ijassa-570	5	31	of	of	ADP
ijassa-570	5	32	the	the	DET
ijassa-570	5	33	russian	russian	ADJ
ijassa-570	5	34	academy	academy	PROPN
ijassa-570	5	35	of	of	ADP
ijassa-570	5	36	sciences	sciences	PROPN
ijassa-570	5	37	,	,	PUNCT
ijassa-570	5	38	117997	117997	NUM
ijassa-570	5	39	,	,	PUNCT
ijassa-570	5	40	profsoyuznaya	profsoyuznaya	NOUN
ijassa-570	5	41	street	street	PROPN
ijassa-570	5	42	,	,	PUNCT
ijassa-570	5	43	65	65	NUM
ijassa-570	5	44	,	,	PUNCT
ijassa-570	5	45	moscow	moscow	PROPN
ijassa-570	5	46	,	,	PUNCT
ijassa-570	5	47	russia	russia	PROPN
ijassa-570	5	48	e	e	NOUN
ijassa-570	5	49	-	-	NOUN
ijassa-570	5	50	mail	mail	NOUN
ijassa-570	5	51	:	:	PUNCT
ijassa-570	5	52	polma@bk.ru	polma@bk.ru	PRON
ijassa-570	5	53	abstract	abstract	ADJ
ijassa-570	5	54	:	:	PUNCT
ijassa-570	5	55	the	the	DET
ijassa-570	5	56	use	use	NOUN
ijassa-570	5	57	of	of	ADP
ijassa-570	5	58	expert	expert	ADJ
ijassa-570	5	59	assessments	assessment	NOUN
ijassa-570	5	60	is	be	AUX
ijassa-570	5	61	relevant	relevant	ADJ
ijassa-570	5	62	for	for	ADP
ijassa-570	5	63	the	the	DET
ijassa-570	5	64	development	development	NOUN
ijassa-570	5	65	of	of	ADP
ijassa-570	5	66	new	new	ADJ
ijassa-570	5	67	complex	complex	ADJ
ijassa-570	5	68	scientific	scientific	ADJ
ijassa-570	5	69	and	and	CCONJ
ijassa-570	5	70	technical	technical	ADJ
ijassa-570	5	71	products	product	NOUN
ijassa-570	5	72	,	,	PUNCT
ijassa-570	5	73	in	in	ADP
ijassa-570	5	74	medical	medical	ADJ
ijassa-570	5	75	diagnostics	diagnostic	NOUN
ijassa-570	5	76	,	,	PUNCT
ijassa-570	5	77	in	in	ADP
ijassa-570	5	78	the	the	DET
ijassa-570	5	79	study	study	NOUN
ijassa-570	5	80	of	of	ADP
ijassa-570	5	81	unusual	unusual	ADJ
ijassa-570	5	82	phenomena	phenomenon	NOUN
ijassa-570	5	83	.	.	PUNCT
ijassa-570	6	1	to	to	PART
ijassa-570	6	2	successfully	successfully	ADV
ijassa-570	6	3	apply	apply	VERB
ijassa-570	6	4	these	these	DET
ijassa-570	6	5	estimates	estimate	NOUN
ijassa-570	6	6	,	,	PUNCT
ijassa-570	6	7	it	it	PRON
ijassa-570	6	8	is	be	AUX
ijassa-570	6	9	proposed	propose	VERB
ijassa-570	6	10	to	to	PART
ijassa-570	6	11	use	use	VERB
ijassa-570	6	12	a	a	DET
ijassa-570	6	13	procedure	procedure	NOUN
ijassa-570	6	14	that	that	PRON
ijassa-570	6	15	allows	allow	VERB
ijassa-570	6	16	improving	improve	VERB
ijassa-570	6	17	the	the	DET
ijassa-570	6	18	quality	quality	NOUN
ijassa-570	6	19	of	of	ADP
ijassa-570	6	20	expert	expert	NOUN
ijassa-570	6	21	clustering	clustering	NOUN
ijassa-570	6	22	of	of	ADP
ijassa-570	6	23	objects	object	NOUN
ijassa-570	6	24	based	base	VERB
ijassa-570	6	25	on	on	ADP
ijassa-570	6	26	the	the	DET
ijassa-570	6	27	analysis	analysis	NOUN
ijassa-570	6	28	of	of	ADP
ijassa-570	6	29	measured	measured	ADJ
ijassa-570	6	30	parameters	parameter	NOUN
ijassa-570	6	31	a	a	DET
ijassa-570	6	32	procedure	procedure	NOUN
ijassa-570	6	33	that	that	PRON
ijassa-570	6	34	objectifies	objectify	VERB
ijassa-570	6	35	expert	expert	NOUN
ijassa-570	6	36	estimates	estimate	NOUN
ijassa-570	6	37	.	.	PUNCT
ijassa-570	7	1	this	this	DET
ijassa-570	7	2	interactive	interactive	ADJ
ijassa-570	7	3	procedure	procedure	NOUN
ijassa-570	7	4	is	be	AUX
ijassa-570	7	5	based	base	VERB
ijassa-570	7	6	on	on	ADP
ijassa-570	7	7	elementary	elementary	ADJ
ijassa-570	7	8	assumptions	assumption	NOUN
ijassa-570	7	9	about	about	ADP
ijassa-570	7	10	the	the	DET
ijassa-570	7	11	properties	property	NOUN
ijassa-570	7	12	of	of	ADP
ijassa-570	7	13	objects	object	NOUN
ijassa-570	7	14	.	.	PUNCT
ijassa-570	8	1	the	the	DET
ijassa-570	8	2	paper	paper	NOUN
ijassa-570	8	3	describes	describe	VERB
ijassa-570	8	4	the	the	DET
ijassa-570	8	5	features	feature	NOUN
ijassa-570	8	6	of	of	ADP
ijassa-570	8	7	the	the	DET
ijassa-570	8	8	implementation	implementation	NOUN
ijassa-570	8	9	of	of	ADP
ijassa-570	8	10	the	the	DET
ijassa-570	8	11	algorithm	algorithm	NOUN
ijassa-570	8	12	of	of	ADP
ijassa-570	8	13	this	this	DET
ijassa-570	8	14	interactive	interactive	ADJ
ijassa-570	8	15	procedure	procedure	NOUN
ijassa-570	8	16	,	,	PUNCT
ijassa-570	8	17	proposed	propose	VERB
ijassa-570	8	18	by	by	ADP
ijassa-570	8	19	the	the	DET
ijassa-570	8	20	author	author	NOUN
ijassa-570	8	21	.	.	PUNCT
ijassa-570	9	1	this	this	DET
ijassa-570	9	2	procedure	procedure	NOUN
ijassa-570	9	3	is	be	AUX
ijassa-570	9	4	essential	essential	ADJ
ijassa-570	9	5	during	during	ADP
ijassa-570	9	6	the	the	DET
ijassa-570	9	7	creation	creation	NOUN
ijassa-570	9	8	of	of	ADP
ijassa-570	9	9	the	the	DET
ijassa-570	9	10	technology	technology	NOUN
ijassa-570	9	11	of	of	ADP
ijassa-570	9	12	work	work	NOUN
ijassa-570	9	13	to	to	PART
ijassa-570	9	14	with	with	ADP
ijassa-570	9	15	complex	complex	ADJ
ijassa-570	9	16	objects	object	NOUN
ijassa-570	9	17	that	that	PRON
ijassa-570	9	18	are	be	AUX
ijassa-570	9	19	difficult	difficult	ADJ
ijassa-570	9	20	to	to	PART
ijassa-570	9	21	fully	fully	ADV
ijassa-570	9	22	or	or	CCONJ
ijassa-570	9	23	even	even	ADV
ijassa-570	9	24	partially	partially	ADV
ijassa-570	9	25	formalize	formalize	VERB
ijassa-570	9	26	.	.	PUNCT
ijassa-570	10	1	a	a	DET
ijassa-570	10	2	method	method	NOUN
ijassa-570	10	3	for	for	ADP
ijassa-570	10	4	representing	represent	VERB
ijassa-570	10	5	the	the	DET
ijassa-570	10	6	proposed	propose	VERB
ijassa-570	10	7	procedure	procedure	NOUN
ijassa-570	10	8	for	for	ADP
ijassa-570	10	9	objectifying	objectifying	ADJ
ijassa-570	10	10	expert	expert	NOUN
ijassa-570	10	11	clustering	cluster	VERB
ijassa-570	10	12	in	in	ADP
ijassa-570	10	13	terms	term	NOUN
ijassa-570	10	14	of	of	ADP
ijassa-570	10	15	the	the	DET
ijassa-570	10	16	theory	theory	NOUN
ijassa-570	10	17	of	of	ADP
ijassa-570	10	18	fuzzy	fuzzy	ADJ
ijassa-570	10	19	sets	set	NOUN
ijassa-570	10	20	is	be	AUX
ijassa-570	10	21	described	describe	VERB
ijassa-570	10	22	.	.	PUNCT
ijassa-570	11	1	the	the	DET
ijassa-570	11	2	developed	develop	VERB
ijassa-570	11	3	objectifying	objectifying	ADJ
ijassa-570	11	4	procedure	procedure	NOUN
ijassa-570	11	5	was	be	AUX
ijassa-570	11	6	used	use	VERB
ijassa-570	11	7	to	to	PART
ijassa-570	11	8	create	create	VERB
ijassa-570	11	9	algorithms	algorithm	NOUN
ijassa-570	11	10	for	for	ADP
ijassa-570	11	11	medical	medical	ADJ
ijassa-570	11	12	diagnostics	diagnostic	NOUN
ijassa-570	11	13	based	base	VERB
ijassa-570	11	14	on	on	ADP
ijassa-570	11	15	pulsed	pulse	VERB
ijassa-570	11	16	signals	signal	NOUN
ijassa-570	11	17	of	of	ADP
ijassa-570	11	18	the	the	DET
ijassa-570	11	19	radial	radial	ADJ
ijassa-570	11	20	artery	artery	NOUN
ijassa-570	11	21	.	.	PUNCT
ijassa-570	12	1	subjective	subjective	ADJ
ijassa-570	12	2	clustering	clustering	NOUN
ijassa-570	12	3	of	of	ADP
ijassa-570	12	4	the	the	DET
ijassa-570	12	5	shape	shape	NOUN
ijassa-570	12	6	of	of	ADP
ijassa-570	12	7	pulse	pulse	NOUN
ijassa-570	12	8	signals	signal	NOUN
ijassa-570	12	9	was	be	AUX
ijassa-570	12	10	used	use	VERB
ijassa-570	12	11	.	.	PUNCT
ijassa-570	13	1	keywords	keyword	NOUN
ijassa-570	13	2	:	:	PUNCT
ijassa-570	13	3	expert	expert	NOUN
ijassa-570	13	4	assessments	assessment	NOUN
ijassa-570	13	5	;	;	PUNCT
ijassa-570	13	6	clustering	cluster	VERB
ijassa-570	13	7	;	;	PUNCT
ijassa-570	13	8	objectifying	objectifying	ADJ
ijassa-570	13	9	;	;	PUNCT
ijassa-570	13	10	analysis	analysis	NOUN
ijassa-570	13	11	algorithms	algorithm	NOUN
ijassa-570	13	12	.	.	PUNCT
ijassa-570	14	1	1	1	X
ijassa-570	14	2	.	.	X
ijassa-570	14	3	introduction	introduction	NOUN
ijassa-570	14	4	intellectual	intellectual	ADJ
ijassa-570	14	5	analysis	analysis	NOUN
ijassa-570	14	6	of	of	ADP
ijassa-570	14	7	large	large	ADJ
ijassa-570	14	8	amounts	amount	NOUN
ijassa-570	14	9	of	of	ADP
ijassa-570	14	10	information	information	NOUN
ijassa-570	14	11	is	be	AUX
ijassa-570	14	12	a	a	DET
ijassa-570	14	13	complex	complex	ADJ
ijassa-570	14	14	multi	multi	ADJ
ijassa-570	14	15	-	-	ADJ
ijassa-570	14	16	step	step	ADJ
ijassa-570	14	17	procedure	procedure	NOUN
ijassa-570	14	18	[	[	X
ijassa-570	14	19	1	1	NUM
ijassa-570	14	20	]	]	PUNCT
ijassa-570	14	21	.	.	PUNCT
ijassa-570	15	1	at	at	ADP
ijassa-570	15	2	the	the	DET
ijassa-570	15	3	first	first	ADJ
ijassa-570	15	4	stages	stage	NOUN
ijassa-570	15	5	it	it	PRON
ijassa-570	15	6	is	be	AUX
ijassa-570	15	7	necessary	necessary	ADJ
ijassa-570	15	8	to	to	PART
ijassa-570	15	9	create	create	VERB
ijassa-570	15	10	a	a	DET
ijassa-570	15	11	general	general	ADJ
ijassa-570	15	12	idea	idea	NOUN
ijassa-570	15	13	about	about	ADP
ijassa-570	15	14	the	the	DET
ijassa-570	15	15	researched	research	VERB
ijassa-570	15	16	objects	object	NOUN
ijassa-570	15	17	,	,	PUNCT
ijassa-570	15	18	especially	especially	ADV
ijassa-570	15	19	if	if	SCONJ
ijassa-570	15	20	these	these	DET
ijassa-570	15	21	objects	object	NOUN
ijassa-570	15	22	are	be	AUX
ijassa-570	15	23	a	a	DET
ijassa-570	15	24	little	little	ADJ
ijassa-570	15	25	studied	study	VERB
ijassa-570	15	26	or	or	CCONJ
ijassa-570	15	27	created	create	VERB
ijassa-570	15	28	on	on	ADP
ijassa-570	15	29	the	the	DET
ijassa-570	15	30	basis	basis	NOUN
ijassa-570	15	31	of	of	ADP
ijassa-570	15	32	new	new	ADJ
ijassa-570	15	33	the	the	DET
ijassa-570	15	34	physical	physical	ADJ
ijassa-570	15	35	principles	principle	NOUN
ijassa-570	15	36	.	.	PUNCT
ijassa-570	16	1	in	in	ADP
ijassa-570	16	2	such	such	ADJ
ijassa-570	16	3	cases	case	NOUN
ijassa-570	16	4	,	,	PUNCT
ijassa-570	16	5	expert	expert	ADJ
ijassa-570	16	6	assessments	assessment	NOUN
ijassa-570	16	7	are	be	AUX
ijassa-570	16	8	often	often	ADV
ijassa-570	16	9	used	use	VERB
ijassa-570	16	10	for	for	ADP
ijassa-570	16	11	subsequent	subsequent	ADJ
ijassa-570	16	12	formalization	formalization	NOUN
ijassa-570	16	13	.	.	PUNCT
ijassa-570	17	1	the	the	DET
ijassa-570	17	2	use	use	NOUN
ijassa-570	17	3	of	of	ADP
ijassa-570	17	4	expert	expert	ADJ
ijassa-570	17	5	assessments	assessment	NOUN
ijassa-570	17	6	is	be	AUX
ijassa-570	17	7	relevant	relevant	ADJ
ijassa-570	17	8	for	for	ADP
ijassa-570	17	9	the	the	DET
ijassa-570	17	10	development	development	NOUN
ijassa-570	17	11	of	of	ADP
ijassa-570	17	12	new	new	ADJ
ijassa-570	17	13	complex	complex	ADJ
ijassa-570	17	14	scientifictechnical	scientifictechnical	ADJ
ijassa-570	17	15	products	product	NOUN
ijassa-570	17	16	,	,	PUNCT
ijassa-570	17	17	in	in	ADP
ijassa-570	17	18	medical	medical	ADJ
ijassa-570	17	19	diagnostics	diagnostic	NOUN
ijassa-570	17	20	,	,	PUNCT
ijassa-570	17	21	in	in	ADP
ijassa-570	17	22	the	the	DET
ijassa-570	17	23	study	study	NOUN
ijassa-570	17	24	of	of	ADP
ijassa-570	17	25	unusual	unusual	ADJ
ijassa-570	17	26	phenomena	phenomenon	NOUN
ijassa-570	17	27	.	.	PUNCT
ijassa-570	18	1	to	to	PART
ijassa-570	18	2	successfully	successfully	ADV
ijassa-570	18	3	apply	apply	VERB
ijassa-570	18	4	these	these	DET
ijassa-570	18	5	estimates	estimate	NOUN
ijassa-570	18	6	,	,	PUNCT
ijassa-570	18	7	it	it	PRON
ijassa-570	18	8	is	be	AUX
ijassa-570	18	9	proposed	propose	VERB
ijassa-570	18	10	to	to	PART
ijassa-570	18	11	use	use	VERB
ijassa-570	18	12	a	a	DET
ijassa-570	18	13	procedure	procedure	NOUN
ijassa-570	18	14	that	that	PRON
ijassa-570	18	15	allows	allow	VERB
ijassa-570	18	16	improving	improve	VERB
ijassa-570	18	17	the	the	DET
ijassa-570	18	18	quality	quality	NOUN
ijassa-570	18	19	of	of	ADP
ijassa-570	18	20	expert	expert	NOUN
ijassa-570	18	21	clustering	clustering	NOUN
ijassa-570	18	22	of	of	ADP
ijassa-570	18	23	objects	object	NOUN
ijassa-570	18	24	based	base	VERB
ijassa-570	18	25	on	on	ADP
ijassa-570	18	26	the	the	DET
ijassa-570	18	27	analysis	analysis	NOUN
ijassa-570	18	28	of	of	ADP
ijassa-570	18	29	measured	measured	ADJ
ijassa-570	18	30	parameters	parameter	NOUN
ijassa-570	18	31	a	a	DET
ijassa-570	18	32	procedure	procedure	NOUN
ijassa-570	18	33	that	that	PRON
ijassa-570	18	34	objectifies	objectify	VERB
ijassa-570	18	35	expert	expert	NOUN
ijassa-570	18	36	estimates	estimate	NOUN
ijassa-570	18	37	.	.	PUNCT
ijassa-570	19	1	the	the	DET
ijassa-570	19	2	paper	paper	NOUN
ijassa-570	19	3	describes	describe	VERB
ijassa-570	19	4	the	the	DET
ijassa-570	19	5	features	feature	NOUN
ijassa-570	19	6	of	of	ADP
ijassa-570	19	7	the	the	DET
ijassa-570	19	8	implementation	implementation	NOUN
ijassa-570	19	9	of	of	ADP
ijassa-570	19	10	the	the	DET
ijassa-570	19	11	algorithm	algorithm	NOUN
ijassa-570	19	12	of	of	ADP
ijassa-570	19	13	this	this	DET
ijassa-570	19	14	interactive	interactive	ADJ
ijassa-570	19	15	procedure	procedure	NOUN
ijassa-570	19	16	,	,	PUNCT
ijassa-570	19	17	proposed	propose	VERB
ijassa-570	19	18	by	by	ADP
ijassa-570	19	19	the	the	DET
ijassa-570	19	20	author	author	NOUN
ijassa-570	19	21	in	in	ADP
ijassa-570	19	22	[	[	X
ijassa-570	19	23	2	2	NUM
ijassa-570	19	24	]	]	PUNCT
ijassa-570	19	25	.	.	PUNCT
ijassa-570	20	1	this	this	DET
ijassa-570	20	2	procedure	procedure	NOUN
ijassa-570	20	3	is	be	AUX
ijassa-570	20	4	necessary	necessary	ADJ
ijassa-570	20	5	when	when	SCONJ
ijassa-570	20	6	creating	create	VERB
ijassa-570	20	7	a	a	DET
ijassa-570	20	8	technology	technology	NOUN
ijassa-570	20	9	that	that	PRON
ijassa-570	20	10	works	work	VERB
ijassa-570	20	11	with	with	ADP
ijassa-570	20	12	complex	complex	ADJ
ijassa-570	20	13	objects	object	NOUN
ijassa-570	20	14	that	that	PRON
ijassa-570	20	15	are	be	AUX
ijassa-570	20	16	difficult	difficult	ADJ
ijassa-570	20	17	to	to	PART
ijassa-570	20	18	fully	fully	ADV
ijassa-570	20	19	or	or	CCONJ
ijassa-570	20	20	even	even	ADV
ijassa-570	20	21	partially	partially	ADV
ijassa-570	20	22	formalize	formalize	VERB
ijassa-570	20	23	.	.	PUNCT
ijassa-570	21	1	in	in	ADP
ijassa-570	21	2	many	many	ADJ
ijassa-570	21	3	cases	case	NOUN
ijassa-570	21	4	,	,	PUNCT
ijassa-570	21	5	the	the	DET
ijassa-570	21	6	aggregate	aggregate	NOUN
ijassa-570	21	7	of	of	ADP
ijassa-570	21	8	real	real	ADJ
ijassa-570	21	9	objects	object	NOUN
ijassa-570	21	10	[	[	X
ijassa-570	21	11	o1	o1	NOUN
ijassa-570	21	12	…	…	PUNCT
ijassa-570	21	13	on	on	ADP
ijassa-570	21	14	]	]	PUNCT
ijassa-570	21	15	,	,	PUNCT
ijassa-570	21	16	described	describe	VERB
ijassa-570	21	17	by	by	ADP
ijassa-570	21	18	the	the	DET
ijassa-570	21	19	vectors	vector	NOUN
ijassa-570	21	20	]	]	PUNCT
ijassa-570	21	21	[	[	PUNCT
ijassa-570	21	22	1	1	NUM
ijassa-570	21	23	nvv	nvv	NOUN
ijassa-570	21	24			ADP
ijassa-570	21	25			NUM
ijassa-570	21	26			ADP
ijassa-570	21	27	of	of	ADP
ijassa-570	21	28	the	the	DET
ijassa-570	21	29	measured	measured	ADJ
ijassa-570	21	30	parameters	parameter	NOUN
ijassa-570	21	31	,	,	PUNCT
ijassa-570	21	32	has	have	VERB
ijassa-570	21	33	the	the	DET
ijassa-570	21	34	property	property	NOUN
ijassa-570	21	35	,	,	PUNCT
ijassa-570	21	36	which	which	PRON
ijassa-570	21	37	is	be	AUX
ijassa-570	21	38	called	call	VERB
ijassa-570	21	39	poly	poly	ADJ
ijassa-570	21	40	-	-	PUNCT
ijassa-570	21	41	attraction	attraction	NOUN
ijassa-570	21	42	,	,	PUNCT
ijassa-570	21	43	when	when	SCONJ
ijassa-570	21	44	the	the	DET
ijassa-570	21	45	objects	object	NOUN
ijassa-570	21	46	are	be	AUX
ijassa-570	21	47	not	not	PART
ijassa-570	21	48	evenly	evenly	ADV
ijassa-570	21	49	distributed	distribute	VERB
ijassa-570	21	50	…	…	PUNCT
ijassa-570	21	51	over	over	ADP
ijassa-570	21	52	the	the	DET
ijassa-570	21	53	subspace	subspace	NOUN
ijassa-570	21	54	of	of	ADP
ijassa-570	21	55	valid	valid	ADJ
ijassa-570	21	56	parameters	parameter	NOUN
ijassa-570	21	57	[	[	X
ijassa-570	21	58	p1	p1	NOUN
ijassa-570	21	59	…	…	PUNCT
ijassa-570	21	60	pl	pl	NOUN
ijassa-570	21	61	]	]	X
ijassa-570	21	62	.	.	PUNCT
ijassa-570	22	1	in	in	ADP
ijassa-570	22	2	this	this	DET
ijassa-570	22	3	case	case	NOUN
ijassa-570	22	4	,	,	PUNCT
ijassa-570	22	5	the	the	DET
ijassa-570	22	6	objects	object	NOUN
ijassa-570	22	7	are	be	AUX
ijassa-570	22	8	as	as	SCONJ
ijassa-570	22	9	if	if	SCONJ
ijassa-570	22	10	attracted	attract	VERB
ijassa-570	22	11	to	to	ADP
ijassa-570	22	12	one	one	NUM
ijassa-570	22	13	of	of	ADP
ijassa-570	22	14	several	several	ADJ
ijassa-570	22	15	coordinate	coordinate	NOUN
ijassa-570	22	16	values	value	NOUN
ijassa-570	22	17	of	of	ADP
ijassa-570	22	18	jx	jx	PROPN
ijassa-570	22	19			PROPN
ijassa-570	22	20	,	,	PUNCT
ijassa-570	22	21	j=1	j=1	PROPN
ijassa-570	22	22	…	…	PUNCT
ijassa-570	22	23	q.	q.	NOUN
ijassa-570	22	24	moreover	moreover	ADV
ijassa-570	22	25	,	,	PUNCT
ijassa-570	22	26	these	these	DET
ijassa-570	22	27	values	value	NOUN
ijassa-570	22	28	can	can	AUX
ijassa-570	22	29	form	form	VERB
ijassa-570	22	30	classes	class	NOUN
ijassa-570	22	31	.	.	PUNCT
ijassa-570	23	1	this	this	DET
ijassa-570	23	2	property	property	NOUN
ijassa-570	23	3	is	be	AUX
ijassa-570	23	4	a	a	DET
ijassa-570	23	5	powerful	powerful	ADJ
ijassa-570	23	6	argument	argument	NOUN
ijassa-570	23	7	for	for	ADP
ijassa-570	23	8	carrying	carry	VERB
ijassa-570	23	9	out	out	ADP
ijassa-570	23	10	a	a	DET
ijassa-570	23	11	clustering	clustering	NOUN
ijassa-570	23	12	,	,	PUNCT
ijassa-570	23	13	though	though	SCONJ
ijassa-570	23	14	the	the	DET
ijassa-570	23	15	imperative	imperative	ADJ
ijassa-570	23	16	clustering	clustering	NOUN
ijassa-570	23	17	can	can	AUX
ijassa-570	23	18	also	also	ADV
ijassa-570	23	19	be	be	AUX
ijassa-570	23	20	carried	carry	VERB
ijassa-570	23	21	out	out	ADP
ijassa-570	23	22	in	in	ADP
ijassa-570	23	23	case	case	NOUN
ijassa-570	23	24	of	of	ADP
ijassa-570	23	25	even	even	ADJ
ijassa-570	23	26	distribution	distribution	NOUN
ijassa-570	23	27	.	.	PUNCT
ijassa-570	24	1	poly	poly	ADJ
ijassa-570	24	2	-	-	PUNCT
ijassa-570	24	3	attraction	attraction	NOUN
ijassa-570	24	4	is	be	AUX
ijassa-570	24	5	manifested	manifest	VERB
ijassa-570	24	6	in	in	ADP
ijassa-570	24	7	the	the	DET
ijassa-570	24	8	fact	fact	NOUN
ijassa-570	24	9	that	that	SCONJ
ijassa-570	24	10	most	most	ADJ
ijassa-570	24	11	objects	object	NOUN
ijassa-570	24	12	are	be	AUX
ijassa-570	24	13	identified	identify	VERB
ijassa-570	24	14	with	with	ADP
ijassa-570	24	15	sufficient	sufficient	ADJ
ijassa-570	24	16	confidence	confidence	NOUN
ijassa-570	24	17	as	as	ADP
ijassa-570	24	18	belonging	belong	VERB
ijassa-570	24	19	to	to	ADP
ijassa-570	24	20	one	one	NUM
ijassa-570	24	21	of	of	ADP
ijassa-570	24	22	the	the	DET
ijassa-570	24	23	types	type	NOUN
ijassa-570	24	24	tj	tj	NOUN
ijassa-570	24	25	,	,	PUNCT
ijassa-570	24	26	j=1	j=1	PROPN
ijassa-570	24	27	...	...	PUNCT
ijassa-570	24	28	m	m	VERB
ijassa-570	24	29	objects	object	NOUN
ijassa-570	24	30	(	(	PUNCT
ijassa-570	24	31	m	m	PROPN
ijassa-570	24	32	≠	≠	ADJ
ijassa-570	24	33	q	q	NOUN
ijassa-570	24	34	)	)	PUNCT
ijassa-570	24	35	.	.	PUNCT
ijassa-570	25	1	if	if	SCONJ
ijassa-570	25	2	the	the	DET
ijassa-570	25	3	correlation	correlation	NOUN
ijassa-570	25	4	between	between	ADP
ijassa-570	25	5	the	the	DET
ijassa-570	25	6	assignment	assignment	NOUN
ijassa-570	25	7	to	to	ADP
ijassa-570	25	8	a	a	DET
ijassa-570	25	9	specific	specific	ADJ
ijassa-570	25	10	type	type	NOUN
ijassa-570	25	11	tk	tk	NOUN
ijassa-570	25	12	and	and	CCONJ
ijassa-570	25	13	the	the	DET
ijassa-570	25	14	corresponding	correspond	VERB
ijassa-570	25	15	parametric	parametric	NOUN
ijassa-570	25	16	hit	hit	VERB
ijassa-570	25	17	in	in	ADP
ijassa-570	25	18	the	the	DET
ijassa-570	25	19	range	range	NOUN
ijassa-570	25	20	of	of	ADP
ijassa-570	25	21	a	a	DET
ijassa-570	25	22	particular	particular	ADJ
ijassa-570	25	23	coordinate	coordinate	NOUN
ijassa-570	25	24	value	value	NOUN
ijassa-570	25	25	is	be	AUX
ijassa-570	25	26	application	application	NOUN
ijassa-570	25	27	of	of	ADP
ijassa-570	25	28	algorithms	algorithm	NOUN
ijassa-570	25	29	of	of	ADP
ijassa-570	25	30	objectifying	objectifying	ADJ
ijassa-570	25	31	expert	expert	NOUN
ijassa-570	25	32	clustering	cluster	VERB
ijassa-570	25	33	103	103	NUM
ijassa-570	25	34	copyright	copyright	NOUN
ijassa-570	25	35	©	©	PROPN
ijassa-570	25	36	2018	2018	NUM
ijassa-570	25	37	assa	assa	NOUN
ijassa-570	25	38	.	.	PUNCT
ijassa-570	26	1	adv	adv	PROPN
ijassa-570	26	2	.	.	PUNCT
ijassa-570	27	1	in	in	ADP
ijassa-570	27	2	systems	system	NOUN
ijassa-570	27	3	science	science	NOUN
ijassa-570	27	4	and	and	CCONJ
ijassa-570	27	5	appl	appl	NOUN
ijassa-570	27	6	.	.	PUNCT
ijassa-570	28	1	(	(	PUNCT
ijassa-570	28	2	2018	2018	NUM
ijassa-570	28	3	)	)	PUNCT
ijassa-570	28	4	high	high	ADJ
ijassa-570	28	5	,	,	PUNCT
ijassa-570	28	6	the	the	DET
ijassa-570	28	7	compactness	compactness	NOUN
ijassa-570	28	8	hypothesis	hypothesis	NOUN
ijassa-570	28	9	[	[	X
ijassa-570	28	10	3	3	X
ijassa-570	28	11	]	]	PUNCT
ijassa-570	28	12	is	be	AUX
ijassa-570	28	13	fulfilled	fulfil	VERB
ijassa-570	28	14	.	.	PUNCT
ijassa-570	29	1	it	it	PRON
ijassa-570	29	2	is	be	AUX
ijassa-570	29	3	necessary	necessary	ADJ
ijassa-570	29	4	to	to	PART
ijassa-570	29	5	consider	consider	VERB
ijassa-570	29	6	that	that	PRON
ijassa-570	29	7	in	in	ADP
ijassa-570	29	8	practice	practice	NOUN
ijassa-570	29	9	while	while	SCONJ
ijassa-570	29	10	operating	operate	VERB
ijassa-570	29	11	with	with	ADP
ijassa-570	29	12	the	the	DET
ijassa-570	29	13	experimental	experimental	ADJ
ijassa-570	29	14	material	material	NOUN
ijassa-570	29	15	such	such	ADJ
ijassa-570	29	16	context	context	NOUN
ijassa-570	29	17	-	-	PUNCT
ijassa-570	29	18	sensitive	sensitive	ADJ
ijassa-570	29	19	tools	tool	NOUN
ijassa-570	29	20	and	and	CCONJ
ijassa-570	29	21	concepts	concept	NOUN
ijassa-570	29	22	as	as	ADP
ijassa-570	29	23	polynomial	polynomial	ADJ
ijassa-570	29	24	(	(	PUNCT
ijassa-570	29	25	multinomial	multinomial	ADJ
ijassa-570	29	26	)	)	PUNCT
ijassa-570	29	27	distribution	distribution	NOUN
ijassa-570	29	28	,	,	PUNCT
ijassa-570	29	29	the	the	DET
ijassa-570	29	30	hindering	hinder	VERB
ijassa-570	29	31	parameters	parameter	NOUN
ijassa-570	29	32	,	,	PUNCT
ijassa-570	29	33	criterion	criterion	NOUN
ijassa-570	29	34	student	student	NOUN
ijassa-570	29	35	’s	’s	ADV
ijassa-570	29	36	it	it	PRON
ijassa-570	29	37	is	be	AUX
ijassa-570	29	38	,	,	PUNCT
ijassa-570	29	39	etc	etc	X
ijassa-570	29	40	.	.	X
ijassa-570	29	41	are	be	AUX
ijassa-570	29	42	expedient	expedient	ADJ
ijassa-570	29	43	to	to	PART
ijassa-570	29	44	apply	apply	VERB
ijassa-570	29	45	only	only	ADV
ijassa-570	29	46	after	after	ADP
ijassa-570	29	47	the	the	DET
ijassa-570	29	48	heuristic	heuristic	ADJ
ijassa-570	29	49	or	or	CCONJ
ijassa-570	29	50	expert	expert	ADJ
ijassa-570	29	51	analysis	analysis	NOUN
ijassa-570	29	52	of	of	ADP
ijassa-570	29	53	a	a	DET
ijassa-570	29	54	situation	situation	NOUN
ijassa-570	29	55	and	and	CCONJ
ijassa-570	29	56	additional	additional	ADJ
ijassa-570	29	57	processing	processing	NOUN
ijassa-570	29	58	of	of	ADP
ijassa-570	29	59	the	the	DET
ijassa-570	29	60	obtained	obtain	VERB
ijassa-570	29	61	experimental	experimental	ADJ
ijassa-570	29	62	data	datum	NOUN
ijassa-570	29	63	.	.	PUNCT
ijassa-570	30	1	as	as	ADP
ijassa-570	30	2	a	a	DET
ijassa-570	30	3	specific	specific	ADJ
ijassa-570	30	4	example	example	NOUN
ijassa-570	30	5	of	of	ADP
ijassa-570	30	6	the	the	DET
ijassa-570	30	7	experimental	experimental	ADJ
ijassa-570	30	8	data	datum	NOUN
ijassa-570	30	9	,	,	PUNCT
ijassa-570	30	10	in	in	ADP
ijassa-570	30	11	fig	fig	NOUN
ijassa-570	30	12	.	.	PUNCT
ijassa-570	31	1	1	1	NUM
ijassa-570	31	2	the	the	DET
ijassa-570	31	3	diagrams	diagram	NOUN
ijassa-570	31	4	characterizing	characterize	VERB
ijassa-570	31	5	distribution	distribution	NOUN
ijassa-570	31	6	of	of	ADP
ijassa-570	31	7	the	the	DET
ijassa-570	31	8	discrete	discrete	ADJ
ijassa-570	31	9	values	value	NOUN
ijassa-570	31	10	of	of	ADP
ijassa-570	31	11	several	several	ADJ
ijassa-570	31	12	measured	measure	VERB
ijassa-570	31	13	parameters	parameter	NOUN
ijassa-570	31	14	for	for	ADP
ijassa-570	31	15	one	one	NUM
ijassa-570	31	16	class	class	NOUN
ijassa-570	31	17	of	of	ADP
ijassa-570	31	18	objects	object	NOUN
ijassa-570	31	19	in	in	ADP
ijassa-570	31	20	normalized	normalized	ADJ
ijassa-570	31	21	interval	interval	NOUN
ijassa-570	31	22	are	be	AUX
ijassa-570	31	23	provided	provide	VERB
ijassa-570	31	24	.	.	PUNCT
ijassa-570	32	1	differ	differ	VERB
ijassa-570	32	2	from	from	ADP
ijassa-570	32	3	a	a	DET
ijassa-570	32	4	polygon	polygon	NOUN
ijassa-570	32	5	of	of	ADP
ijassa-570	32	6	distribution	distribution	NOUN
ijassa-570	32	7	of	of	ADP
ijassa-570	32	8	a	a	DET
ijassa-570	32	9	graphic	graphic	NOUN
ijassa-570	32	10	in	in	ADP
ijassa-570	32	11	the	the	DET
ijassa-570	32	12	scale	scale	NOUN
ijassa-570	32	13	of	of	ADP
ijassa-570	32	14	the	the	DET
ijassa-570	32	15	ordinate	ordinate	NOUN
ijassa-570	32	16	axis	axis	NOUN
ijassa-570	32	17	in	in	ADP
ijassa-570	32	18	which	which	PRON
ijassa-570	32	19	the	the	DET
ijassa-570	32	20	unit	unit	NOUN
ijassa-570	32	21	corresponds	correspond	VERB
ijassa-570	32	22	with	with	ADP
ijassa-570	32	23	the	the	DET
ijassa-570	32	24	largest	large	ADJ
ijassa-570	32	25	frequency	frequency	NOUN
ijassa-570	32	26	of	of	ADP
ijassa-570	32	27	appearance	appearance	NOUN
ijassa-570	32	28	of	of	ADP
ijassa-570	32	29	a	a	DET
ijassa-570	32	30	parameter	parameter	NOUN
ijassa-570	32	31	value	value	NOUN
ijassa-570	32	32	.	.	PUNCT
ijassa-570	33	1	firstly	firstly	ADV
ijassa-570	33	2	,	,	PUNCT
ijassa-570	33	3	it	it	PRON
ijassa-570	33	4	is	be	AUX
ijassa-570	33	5	necessary	necessary	ADJ
ijassa-570	33	6	to	to	PART
ijassa-570	33	7	decide	decide	VERB
ijassa-570	33	8	on	on	ADP
ijassa-570	33	9	the	the	DET
ijassa-570	33	10	possible	possible	ADJ
ijassa-570	33	11	sources	source	NOUN
ijassa-570	33	12	,	,	PUNCT
ijassa-570	33	13	generating	generate	VERB
ijassa-570	33	14	features	feature	NOUN
ijassa-570	33	15	of	of	ADP
ijassa-570	33	16	the	the	DET
ijassa-570	33	17	distribution	distribution	NOUN
ijassa-570	33	18	of	of	ADP
ijassa-570	33	19	the	the	DET
ijassa-570	33	20	value	value	NOUN
ijassa-570	33	21	of	of	ADP
ijassa-570	33	22	the	the	DET
ijassa-570	33	23	measured	measured	ADJ
ijassa-570	33	24	parameter	parameter	NOUN
ijassa-570	33	25	.	.	PUNCT
ijassa-570	34	1	fig	fig	NOUN
ijassa-570	34	2	.	.	PUNCT
ijassa-570	35	1	1	1	X
ijassa-570	35	2	.	.	X
ijassa-570	35	3	examples	example	NOUN
ijassa-570	35	4	of	of	ADP
ijassa-570	35	5	value	value	NOUN
ijassa-570	35	6	distribution	distribution	NOUN
ijassa-570	35	7	of	of	ADP
ijassa-570	35	8	several	several	ADJ
ijassa-570	35	9	measured	measure	VERB
ijassa-570	35	10	parameters	parameter	NOUN
ijassa-570	35	11	for	for	ADP
ijassa-570	35	12	example	example	NOUN
ijassa-570	35	13	,	,	PUNCT
ijassa-570	35	14	local	local	ADJ
ijassa-570	35	15	outbursts	outburst	NOUN
ijassa-570	35	16	on	on	ADP
ijassa-570	35	17	graphs	graph	NOUN
ijassa-570	35	18	must	must	AUX
ijassa-570	35	19	be	be	AUX
ijassa-570	35	20	linked	link	VERB
ijassa-570	35	21	:	:	PUNCT
ijassa-570	35	22	with	with	SCONJ
ijassa-570	35	23	the	the	DET
ijassa-570	35	24	design	design	NOUN
ijassa-570	35	25	features	feature	NOUN
ijassa-570	35	26	of	of	ADP
ijassa-570	35	27	the	the	DET
ijassa-570	35	28	system	system	NOUN
ijassa-570	35	29	being	be	AUX
ijassa-570	35	30	analyzed	analyze	VERB
ijassa-570	35	31	;	;	PUNCT
ijassa-570	35	32	with	with	ADP
ijassa-570	35	33	the	the	DET
ijassa-570	35	34	natural	natural	ADJ
ijassa-570	35	35	frequencies	frequency	NOUN
ijassa-570	35	36	of	of	ADP
ijassa-570	35	37	component	component	NOUN
ijassa-570	35	38	nodes	node	NOUN
ijassa-570	35	39	and	and	CCONJ
ijassa-570	35	40	components	component	NOUN
ijassa-570	35	41	;	;	PUNCT
ijassa-570	35	42	with	with	ADP
ijassa-570	35	43	the	the	DET
ijassa-570	35	44	presence	presence	NOUN
ijassa-570	35	45	of	of	ADP
ijassa-570	35	46	extraneous	extraneous	ADJ
ijassa-570	35	47	noise	noise	NOUN
ijassa-570	35	48	and	and	CCONJ
ijassa-570	35	49	interference	interference	NOUN
ijassa-570	35	50	;	;	PUNCT
ijassa-570	35	51	with	with	ADP
ijassa-570	35	52	the	the	DET
ijassa-570	35	53	presence	presence	NOUN
ijassa-570	35	54	of	of	ADP
ijassa-570	35	55	various	various	ADJ
ijassa-570	35	56	biorhythms	biorhythm	NOUN
ijassa-570	35	57	in	in	ADP
ijassa-570	35	58	the	the	DET
ijassa-570	35	59	analysis	analysis	NOUN
ijassa-570	35	60	of	of	ADP
ijassa-570	35	61	pulse	pulse	NOUN
ijassa-570	35	62	and	and	CCONJ
ijassa-570	35	63	other	other	ADJ
ijassa-570	35	64	signals	signal	NOUN
ijassa-570	35	65	in	in	ADP
ijassa-570	35	66	medical	medical	ADJ
ijassa-570	35	67	diagnostics	diagnostic	NOUN
ijassa-570	35	68	.	.	PUNCT
ijassa-570	36	1	it	it	PRON
ijassa-570	36	2	is	be	AUX
ijassa-570	36	3	also	also	ADV
ijassa-570	36	4	necessary	necessary	ADJ
ijassa-570	36	5	to	to	PART
ijassa-570	36	6	take	take	VERB
ijassa-570	36	7	into	into	ADP
ijassa-570	36	8	account	account	NOUN
ijassa-570	36	9	the	the	DET
ijassa-570	36	10	inevitable	inevitable	ADJ
ijassa-570	36	11	presence	presence	NOUN
ijassa-570	36	12	of	of	ADP
ijassa-570	36	13	harmonics	harmonic	NOUN
ijassa-570	36	14	of	of	ADP
ijassa-570	36	15	the	the	DET
ijassa-570	36	16	fundamental	fundamental	ADJ
ijassa-570	36	17	frequencies	frequency	NOUN
ijassa-570	36	18	of	of	ADP
ijassa-570	36	19	signals	signal	NOUN
ijassa-570	36	20	that	that	PRON
ijassa-570	36	21	generate	generate	VERB
ijassa-570	36	22	clones	clone	NOUN
ijassa-570	36	23	on	on	ADP
ijassa-570	36	24	the	the	DET
ijassa-570	36	25	distribution	distribution	NOUN
ijassa-570	36	26	,	,	PUNCT
ijassa-570	36	27	as	as	ADV
ijassa-570	36	28	well	well	ADV
ijassa-570	36	29	as	as	ADP
ijassa-570	36	30	the	the	DET
ijassa-570	36	31	nature	nature	NOUN
ijassa-570	36	32	of	of	ADP
ijassa-570	36	33	the	the	DET
ijassa-570	36	34	amplitude	amplitude	NOUN
ijassa-570	36	35	-	-	PUNCT
ijassa-570	36	36	frequency	frequency	NOUN
ijassa-570	36	37	characteristic	characteristic	NOUN
ijassa-570	36	38	of	of	ADP
ijassa-570	36	39	the	the	DET
ijassa-570	36	40	system	system	NOUN
ijassa-570	36	41	under	under	ADP
ijassa-570	36	42	investigation	investigation	NOUN
ijassa-570	36	43	,	,	PUNCT
ijassa-570	36	44	which	which	PRON
ijassa-570	36	45	contributes	contribute	VERB
ijassa-570	36	46	to	to	ADP
ijassa-570	36	47	the	the	DET
ijassa-570	36	48	manifestation	manifestation	NOUN
ijassa-570	36	49	of	of	ADP
ijassa-570	36	50	the	the	DET
ijassa-570	36	51	resonance	resonance	NOUN
ijassa-570	36	52	phenomenon	phenomenon	NOUN
ijassa-570	36	53	or	or	CCONJ
ijassa-570	36	54	vice	vice	NOUN
ijassa-570	36	55	versa	versa	NOUN
ijassa-570	36	56	to	to	ADP
ijassa-570	36	57	the	the	DET
ijassa-570	36	58	suppression	suppression	NOUN
ijassa-570	36	59	of	of	ADP
ijassa-570	36	60	the	the	DET
ijassa-570	36	61	signal	signal	NOUN
ijassa-570	36	62	(	(	PUNCT
ijassa-570	36	63	parameter	parameter	NOUN
ijassa-570	36	64	)	)	PUNCT
ijassa-570	36	65	.	.	PUNCT
ijassa-570	37	1	it	it	PRON
ijassa-570	37	2	should	should	AUX
ijassa-570	37	3	be	be	AUX
ijassa-570	37	4	noted	note	VERB
ijassa-570	37	5	that	that	SCONJ
ijassa-570	37	6	in	in	ADP
ijassa-570	37	7	practice	practice	NOUN
ijassa-570	37	8	,	,	PUNCT
ijassa-570	37	9	often	often	ADV
ijassa-570	37	10	such	such	ADJ
ijassa-570	37	11	methods	method	NOUN
ijassa-570	37	12	as	as	ADP
ijassa-570	37	13	summation	summation	NOUN
ijassa-570	37	14	,	,	PUNCT
ijassa-570	37	15	finding	find	VERB
ijassa-570	37	16	the	the	DET
ijassa-570	37	17	average	average	NOUN
ijassa-570	37	18	,	,	PUNCT
ijassa-570	37	19	etc	etc	X
ijassa-570	37	20	.	.	X
ijassa-570	37	21	,	,	PUNCT
ijassa-570	37	22	which	which	PRON
ijassa-570	37	23	are	be	AUX
ijassa-570	37	24	used	use	VERB
ijassa-570	37	25	to	to	PART
ijassa-570	37	26	specify	specify	VERB
ijassa-570	37	27	the	the	DET
ijassa-570	37	28	basic	basic	ADJ
ijassa-570	37	29	value	value	NOUN
ijassa-570	37	30	of	of	ADP
ijassa-570	37	31	the	the	DET
ijassa-570	37	32	parameter	parameter	NOUN
ijassa-570	37	33	(	(	PUNCT
ijassa-570	37	34	such	such	ADJ
ijassa-570	37	35	as	as	ADP
ijassa-570	37	36	mathematical	mathematical	ADJ
ijassa-570	37	37	expectation	expectation	NOUN
ijassa-570	37	38	)	)	PUNCT
ijassa-570	37	39	do	do	AUX
ijassa-570	37	40	not	not	PART
ijassa-570	37	41	work	work	VERB
ijassa-570	37	42	.	.	PUNCT
ijassa-570	38	1	for	for	ADP
ijassa-570	38	2	example	example	NOUN
ijassa-570	38	3	,	,	PUNCT
ijassa-570	38	4	if	if	SCONJ
ijassa-570	38	5	third	third	ADJ
ijassa-570	38	6	-	-	PUNCT
ijassa-570	38	7	party	party	NOUN
ijassa-570	38	8	noises	noise	NOUN
ijassa-570	38	9	and	and	CCONJ
ijassa-570	38	10	induced	induce	VERB
ijassa-570	38	11	signals	signal	NOUN
ijassa-570	38	12	have	have	VERB
ijassa-570	38	13	more	more	ADJ
ijassa-570	38	14	power	power	NOUN
ijassa-570	38	15	than	than	ADP
ijassa-570	38	16	the	the	DET
ijassa-570	38	17	main	main	ADJ
ijassa-570	38	18	signal	signal	NOUN
ijassa-570	38	19	,	,	PUNCT
ijassa-570	38	20	or	or	CCONJ
ijassa-570	38	21	the	the	DET
ijassa-570	38	22	main	main	ADJ
ijassa-570	38	23	value	value	NOUN
ijassa-570	38	24	characterizing	characterize	VERB
ijassa-570	38	25	the	the	DET
ijassa-570	38	26	class	class	NOUN
ijassa-570	38	27	,	,	PUNCT
ijassa-570	38	28	there	there	PRON
ijassa-570	38	29	is	be	VERB
ijassa-570	38	30	a	a	DET
ijassa-570	38	31	blurred	blurred	ADJ
ijassa-570	38	32	range	range	NOUN
ijassa-570	38	33	of	of	ADP
ijassa-570	38	34	values	value	NOUN
ijassa-570	38	35	,	,	PUNCT
ijassa-570	38	36	etc	etc	X
ijassa-570	38	37	.	.	X
ijassa-570	38	38	fig	fig	NOUN
ijassa-570	38	39	.	.	PUNCT
ijassa-570	39	1	2	2	X
ijassa-570	39	2	.	.	X
ijassa-570	39	3	examples	example	NOUN
ijassa-570	39	4	of	of	ADP
ijassa-570	39	5	value	value	NOUN
ijassa-570	39	6	distribution	distribution	NOUN
ijassa-570	39	7	of	of	ADP
ijassa-570	39	8	the	the	DET
ijassa-570	39	9	measured	measured	ADJ
ijassa-570	39	10	parameters	parameter	NOUN
ijassa-570	39	11	for	for	ADP
ijassa-570	39	12	two	two	NUM
ijassa-570	39	13	classes	class	NOUN
ijassa-570	39	14	of	of	ADP
ijassa-570	39	15	objects	object	NOUN
ijassa-570	39	16	fig	fig	NOUN
ijassa-570	39	17	.	.	PUNCT
ijassa-570	40	1	1a	1a	PROPN
ijassa-570	40	2	can	can	AUX
ijassa-570	40	3	confirm	confirm	VERB
ijassa-570	40	4	the	the	DET
ijassa-570	40	5	existence	existence	NOUN
ijassa-570	40	6	of	of	ADP
ijassa-570	40	7	harmonicas	harmonica	NOUN
ijassa-570	40	8	,	,	PUNCT
ijassa-570	40	9	as	as	ADV
ijassa-570	40	10	well	well	ADV
ijassa-570	40	11	as	as	ADP
ijassa-570	40	12	the	the	DET
ijassa-570	40	13	existence	existence	NOUN
ijassa-570	40	14	of	of	ADP
ijassa-570	40	15	objects	object	NOUN
ijassa-570	40	16	of	of	ADP
ijassa-570	40	17	more	more	ADJ
ijassa-570	40	18	than	than	ADP
ijassa-570	40	19	one	one	NUM
ijassa-570	40	20	class	class	NOUN
ijassa-570	40	21	.	.	PUNCT
ijassa-570	41	1	the	the	DET
ijassa-570	41	2	presence	presence	NOUN
ijassa-570	41	3	of	of	ADP
ijassa-570	41	4	several	several	ADJ
ijassa-570	41	5	classes	class	NOUN
ijassa-570	41	6	can	can	AUX
ijassa-570	41	7	be	be	AUX
ijassa-570	41	8	clarified	clarify	VERB
ijassa-570	41	9	both	both	CCONJ
ijassa-570	41	10	by	by	ADP
ijassa-570	41	11	using	use	VERB
ijassa-570	41	12	other	other	ADJ
ijassa-570	41	13	parameters	parameter	NOUN
ijassa-570	41	14	,	,	PUNCT
ijassa-570	41	15	and	and	CCONJ
ijassa-570	41	16	by	by	ADP
ijassa-570	41	17	using	use	VERB
ijassa-570	41	18	expert	expert	ADJ
ijassa-570	41	19	estimates	estimate	NOUN
ijassa-570	41	20	.	.	PUNCT
ijassa-570	42	1	surge	surge	NOUN
ijassa-570	42	2	in	in	ADP
ijassa-570	42	3	the	the	DET
ijassa-570	42	4	right	right	ADJ
ijassa-570	42	5	part	part	NOUN
ijassa-570	42	6	of	of	ADP
ijassa-570	42	7	fig	fig	NOUN
ijassa-570	42	8	.	.	PUNCT
ijassa-570	43	1	1b	1b	PROPN
ijassa-570	43	2	requires	require	VERB
ijassa-570	43	3	the	the	DET
ijassa-570	43	4	additional	additional	ADJ
ijassa-570	43	5	analysis	analysis	NOUN
ijassa-570	43	6	,	,	PUNCT
ijassa-570	43	7	for	for	ADP
ijassa-570	43	8	example	example	NOUN
ijassa-570	43	9	,	,	PUNCT
ijassa-570	43	10	regarding	regard	VERB
ijassa-570	43	11	the	the	DET
ijassa-570	43	12	existence	existence	NOUN
ijassa-570	43	13	of	of	ADP
ijassa-570	43	14	a	a	DET
ijassa-570	43	15	subclass	subclass	NOUN
ijassa-570	43	16	in	in	ADP
ijassa-570	43	17	an	an	DET
ijassa-570	43	18	represented	represented	ADJ
ijassa-570	43	19	class	class	NOUN
ijassa-570	43	20	of	of	ADP
ijassa-570	43	21	objects	object	NOUN
ijassa-570	43	22	.	.	PUNCT
ijassa-570	44	1	fig	fig	NOUN
ijassa-570	44	2	.	.	PUNCT
ijassa-570	45	1	1c	1c	NOUN
ijassa-570	45	2	also	also	ADV
ijassa-570	45	3	generates	generate	VERB
ijassa-570	45	4	similar	similar	ADJ
ijassa-570	45	5	questions	question	NOUN
ijassa-570	45	6	,	,	PUNCT
ijassa-570	45	7	and	and	CCONJ
ijassa-570	45	8	fig	fig	NOUN
ijassa-570	45	9	.	.	PUNCT
ijassa-570	46	1	1d	1d	NUM
ijassa-570	46	2	is	be	AUX
ijassa-570	46	3	sufficiently	sufficiently	ADV
ijassa-570	46	4	clear	clear	ADJ
ijassa-570	46	5	.	.	PUNCT
ijassa-570	47	1	in	in	ADP
ijassa-570	47	2	fig	fig	NOUN
ijassa-570	47	3	.	.	PUNCT
ijassa-570	48	1	2	2	NUM
ijassa-570	48	2	the	the	DET
ijassa-570	48	3	diagrams	diagram	NOUN
ijassa-570	48	4	characterizing	characterize	VERB
ijassa-570	48	5	distribution	distribution	NOUN
ijassa-570	48	6	of	of	ADP
ijassa-570	48	7	the	the	DET
ijassa-570	48	8	discrete	discrete	ADJ
ijassa-570	48	9	values	value	NOUN
ijassa-570	48	10	of	of	ADP
ijassa-570	48	11	several	several	ADJ
ijassa-570	48	12	measured	measure	VERB
ijassa-570	48	13	parameters	parameter	NOUN
ijassa-570	48	14	for	for	ADP
ijassa-570	48	15	two	two	NUM
ijassa-570	48	16	classes	class	NOUN
ijassa-570	48	17	of	of	ADP
ijassa-570	48	18	objects	object	NOUN
ijassa-570	48	19	are	be	AUX
ijassa-570	48	20	provided	provide	VERB
ijassa-570	48	21	.	.	PUNCT
ijassa-570	49	1	fig	fig	NOUN
ijassa-570	49	2	.	.	PUNCT
ijassa-570	50	1	2a	2a	PROPN
ijassa-570	50	2	shows	show	VERB
ijassa-570	50	3	the	the	DET
ijassa-570	50	4	potential	potential	ADJ
ijassa-570	50	5	suitability	suitability	NOUN
ijassa-570	50	6	of	of	ADP
ijassa-570	50	7	parameter	parameter	NOUN
ijassa-570	50	8	for	for	ADP
ijassa-570	50	9	identification	identification	NOUN
ijassa-570	50	10	of	of	ADP
ijassa-570	50	11	classes	class	NOUN
ijassa-570	50	12	.	.	PUNCT
ijassa-570	51	1	fig	fig	NOUN
ijassa-570	51	2	.	.	PUNCT
ijassa-570	52	1	2b	2b	NOUN
ijassa-570	52	2	can	can	AUX
ijassa-570	52	3	confirm	confirm	VERB
ijassa-570	52	4	both	both	DET
ijassa-570	52	5	unfitness	unfitness	NOUN
ijassa-570	52	6	of	of	ADP
ijassa-570	52	7	parameter	parameter	NOUN
ijassa-570	52	8	for	for	ADP
ijassa-570	52	9	identification	identification	NOUN
ijassa-570	52	10	of	of	ADP
ijassa-570	52	11	classes	class	NOUN
ijassa-570	52	12	and	and	CCONJ
ijassa-570	52	13	the	the	DET
ijassa-570	52	14	illegality	illegality	NOUN
ijassa-570	52	15	of	of	ADP
ijassa-570	52	16	division	division	NOUN
ijassa-570	52	17	of	of	ADP
ijassa-570	52	18	objects	object	NOUN
ijassa-570	52	19	into	into	ADP
ijassa-570	52	20	these	these	DET
ijassa-570	52	21	classes	class	NOUN
ijassa-570	52	22	.	.	PUNCT
ijassa-570	53	1	fig	fig	NOUN
ijassa-570	53	2	.	.	PUNCT
ijassa-570	54	1	2c	2c	NOUN
ijassa-570	54	2	rejects	reject	VERB
ijassa-570	54	3	classification	classification	NOUN
ijassa-570	54	4	opportunities	opportunity	NOUN
ijassa-570	54	5	of	of	ADP
ijassa-570	54	6	parameter	parameter	NOUN
ijassa-570	54	7	,	,	PUNCT
ijassa-570	54	8	the	the	DET
ijassa-570	54	9	parameter	parameter	NOUN
ijassa-570	54	10	of	of	ADP
ijassa-570	54	11	fig	fig	NOUN
ijassa-570	54	12	.	.	PUNCT
ijassa-570	55	1	2d	2d	PROPN
ijassa-570	55	2	can	can	AUX
ijassa-570	55	3	be	be	AUX
ijassa-570	55	4	used	use	VERB
ijassa-570	55	5	for	for	ADP
ijassa-570	55	6	this	this	DET
ijassa-570	55	7	104	104	NUM
ijassa-570	55	8	v.	v.	ADP
ijassa-570	55	9	guchuk	guchuk	NOUN
ijassa-570	55	10	copyright	copyright	NOUN
ijassa-570	55	11	©	©	PROPN
ijassa-570	55	12	2018	2018	NUM
ijassa-570	55	13	assa	assa	NOUN
ijassa-570	55	14	.	.	PUNCT
ijassa-570	56	1	adv	adv	PROPN
ijassa-570	56	2	.	.	PUNCT
ijassa-570	57	1	in	in	ADP
ijassa-570	57	2	systems	system	NOUN
ijassa-570	57	3	science	science	NOUN
ijassa-570	57	4	and	and	CCONJ
ijassa-570	57	5	appl	appl	NOUN
ijassa-570	57	6	.	.	PUNCT
ijassa-570	58	1	(	(	PUNCT
ijassa-570	58	2	2018	2018	NUM
ijassa-570	58	3	)	)	PUNCT
ijassa-570	58	4	purpose	purpose	NOUN
ijassa-570	58	5	only	only	ADV
ijassa-570	58	6	for	for	ADP
ijassa-570	58	7	a	a	DET
ijassa-570	58	8	certain	certain	ADJ
ijassa-570	58	9	subset	subset	NOUN
ijassa-570	58	10	of	of	ADP
ijassa-570	58	11	objects	object	NOUN
ijassa-570	58	12	of	of	ADP
ijassa-570	58	13	two	two	NUM
ijassa-570	58	14	classes	class	NOUN
ijassa-570	58	15	if	if	SCONJ
ijassa-570	58	16	finding	find	VERB
ijassa-570	58	17	parameter	parameter	NOUN
ijassa-570	58	18	with	with	ADP
ijassa-570	58	19	more	more	ADV
ijassa-570	58	20	explicit	explicit	ADJ
ijassa-570	58	21	distinctions	distinction	NOUN
ijassa-570	58	22	for	for	ADP
ijassa-570	58	23	the	the	DET
ijassa-570	58	24	identified	identify	VERB
ijassa-570	58	25	classes	class	NOUN
ijassa-570	58	26	is	be	AUX
ijassa-570	58	27	n’t	not	PART
ijassa-570	58	28	possible	possible	ADJ
ijassa-570	58	29	.	.	PUNCT
ijassa-570	59	1	2	2	X
ijassa-570	59	2	.	.	X
ijassa-570	59	3	use	use	NOUN
ijassa-570	59	4	of	of	ADP
ijassa-570	59	5	expert	expert	NOUN
ijassa-570	59	6	estimates	estimate	NOUN
ijassa-570	59	7	the	the	DET
ijassa-570	59	8	subjective	subjective	ADJ
ijassa-570	59	9	clustering	clustering	NOUN
ijassa-570	59	10	is	be	AUX
ijassa-570	59	11	preceded	precede	VERB
ijassa-570	59	12	by	by	ADP
ijassa-570	59	13	a	a	DET
ijassa-570	59	14	formalization	formalization	NOUN
ijassa-570	59	15	stage	stage	NOUN
ijassa-570	59	16	–	–	PUNCT
ijassa-570	59	17	formations	formation	NOUN
ijassa-570	59	18	of	of	ADP
ijassa-570	59	19	a	a	DET
ijassa-570	59	20	set	set	NOUN
ijassa-570	59	21	of	of	ADP
ijassa-570	59	22	the	the	DET
ijassa-570	59	23	measured	measured	ADJ
ijassa-570	59	24	parameters	parameter	NOUN
ijassa-570	59	25	[	[	X
ijassa-570	59	26	p1	p1	NOUN
ijassa-570	59	27	…	…	SYM
ijassa-570	59	28	pr	pr	NOUN
ijassa-570	59	29	]	]	PUNCT
ijassa-570	59	30	objects	object	NOUN
ijassa-570	59	31	.	.	PUNCT
ijassa-570	60	1	in	in	ADP
ijassa-570	60	2	most	most	ADJ
ijassa-570	60	3	cases	case	NOUN
ijassa-570	60	4	it	it	PRON
ijassa-570	60	5	is	be	AUX
ijassa-570	60	6	naturally	naturally	ADV
ijassa-570	60	7	difficult	difficult	ADJ
ijassa-570	60	8	to	to	PART
ijassa-570	60	9	define	define	VERB
ijassa-570	60	10	the	the	DET
ijassa-570	60	11	parameters	parameter	NOUN
ijassa-570	60	12	which	which	PRON
ijassa-570	60	13	are	be	AUX
ijassa-570	60	14	most	most	ADV
ijassa-570	60	15	informative	informative	ADJ
ijassa-570	60	16	.	.	PUNCT
ijassa-570	61	1	another	another	DET
ijassa-570	61	2	hindrance	hindrance	NOUN
ijassa-570	61	3	is	be	AUX
ijassa-570	61	4	that	that	SCONJ
ijassa-570	61	5	not	not	PART
ijassa-570	61	6	everything	everything	PRON
ijassa-570	61	7	can	can	AUX
ijassa-570	61	8	be	be	AUX
ijassa-570	61	9	meaningfully	meaningfully	ADV
ijassa-570	61	10	formalized	formalize	VERB
ijassa-570	61	11	.	.	PUNCT
ijassa-570	62	1	therefore	therefore	ADV
ijassa-570	62	2	,	,	PUNCT
ijassa-570	62	3	it	it	PRON
ijassa-570	62	4	is	be	AUX
ijassa-570	62	5	necessary	necessary	ADJ
ijassa-570	62	6	to	to	PART
ijassa-570	62	7	check	check	VERB
ijassa-570	62	8	as	as	ADV
ijassa-570	62	9	much	much	ADV
ijassa-570	62	10	as	as	ADP
ijassa-570	62	11	possible	possible	ADJ
ijassa-570	62	12	r	r	NOUN
ijassa-570	62	13	of	of	ADP
ijassa-570	62	14	measured	measured	ADJ
ijassa-570	62	15	parameters	parameter	NOUN
ijassa-570	62	16	of	of	ADP
ijassa-570	62	17	objects	object	NOUN
ijassa-570	62	18	.	.	PUNCT
ijassa-570	63	1	the	the	DET
ijassa-570	63	2	solution	solution	NOUN
ijassa-570	63	3	of	of	ADP
ijassa-570	63	4	the	the	DET
ijassa-570	63	5	problem	problem	NOUN
ijassa-570	63	6	of	of	ADP
ijassa-570	63	7	parameter	parameter	NOUN
ijassa-570	63	8	reliability	reliability	NOUN
ijassa-570	63	9	is	be	AUX
ijassa-570	63	10	the	the	DET
ijassa-570	63	11	choice	choice	NOUN
ijassa-570	63	12	of	of	ADP
ijassa-570	63	13	l	l	NOUN
ijassa-570	63	14	-	-	NOUN
ijassa-570	63	15	parameters	parameter	NOUN
ijassa-570	63	16	whose	whose	DET
ijassa-570	63	17	distribution	distribution	NOUN
ijassa-570	63	18	of	of	ADP
ijassa-570	63	19	values	value	NOUN
ijassa-570	63	20	is	be	AUX
ijassa-570	63	21	most	most	ADV
ijassa-570	63	22	correlated	correlate	VERB
ijassa-570	63	23	with	with	ADP
ijassa-570	63	24	the	the	DET
ijassa-570	63	25	deviation	deviation	NOUN
ijassa-570	63	26	from	from	ADP
ijassa-570	63	27	the	the	DET
ijassa-570	63	28	values	value	NOUN
ijassa-570	63	29	forming	form	VERB
ijassa-570	63	30	the	the	DET
ijassa-570	63	31	class	class	NOUN
ijassa-570	63	32	jx	jx	PROPN
ijassa-570	63	33			NOUN
ijassa-570	63	34	,	,	PUNCT
ijassa-570	63	35	j=1	j=1	PROPN
ijassa-570	63	36	…	…	PUNCT
ijassa-570	63	37	m	m	PROPN
ijassa-570	63	38	,	,	PUNCT
ijassa-570	63	39	m	m	VERB
ijassa-570	63	40	<	<	X
ijassa-570	63	41	q.	q.	X
ijassa-570	63	42	it	it	PRON
ijassa-570	63	43	is	be	AUX
ijassa-570	63	44	performed	perform	VERB
ijassa-570	63	45	after	after	ADP
ijassa-570	63	46	expert	expert	NOUN
ijassa-570	63	47	clustering	clustering	NOUN
ijassa-570	63	48	,	,	PUNCT
ijassa-570	63	49	which	which	PRON
ijassa-570	63	50	can	can	AUX
ijassa-570	63	51	be	be	AUX
ijassa-570	63	52	performed	perform	VERB
ijassa-570	63	53	both	both	PRON
ijassa-570	63	54	with	with	ADP
ijassa-570	63	55	measured	measured	ADJ
ijassa-570	63	56	parameters	parameter	NOUN
ijassa-570	63	57	and	and	CCONJ
ijassa-570	63	58	without	without	ADP
ijassa-570	63	59	them	they	PRON
ijassa-570	63	60	,	,	PUNCT
ijassa-570	63	61	in	in	ADP
ijassa-570	63	62	particular	particular	ADJ
ijassa-570	63	63	,	,	PUNCT
ijassa-570	63	64	as	as	ADP
ijassa-570	63	65	a	a	DET
ijassa-570	63	66	result	result	NOUN
ijassa-570	63	67	of	of	ADP
ijassa-570	63	68	visual	visual	ADJ
ijassa-570	63	69	evaluation	evaluation	NOUN
ijassa-570	63	70	of	of	ADP
ijassa-570	63	71	objects	object	NOUN
ijassa-570	63	72	.	.	PUNCT
ijassa-570	64	1	the	the	DET
ijassa-570	64	2	stage	stage	NOUN
ijassa-570	64	3	of	of	ADP
ijassa-570	64	4	an	an	DET
ijassa-570	64	5	expert	expert	NOUN
ijassa-570	64	6	clustering	clustering	NOUN
ijassa-570	64	7	of	of	ADP
ijassa-570	64	8	multi	multi	ADJ
ijassa-570	64	9	-	-	ADJ
ijassa-570	64	10	parameter	parameter	ADJ
ijassa-570	64	11	objects	object	NOUN
ijassa-570	64	12	shall	shall	AUX
ijassa-570	64	13	come	come	VERB
ijassa-570	64	14	to	to	ADP
ijassa-570	64	15	an	an	DET
ijassa-570	64	16	end	end	NOUN
ijassa-570	64	17	with	with	ADP
ijassa-570	64	18	the	the	DET
ijassa-570	64	19	generalized	generalized	ADJ
ijassa-570	64	20	clustering	clustering	NOUN
ijassa-570	64	21	.	.	PUNCT
ijassa-570	65	1	based	base	VERB
ijassa-570	65	2	on	on	ADP
ijassa-570	65	3	the	the	DET
ijassa-570	65	4	judgement	judgement	NOUN
ijassa-570	65	5	of	of	ADP
ijassa-570	65	6	different	different	ADJ
ijassa-570	65	7	experts	expert	NOUN
ijassa-570	65	8	taking	take	VERB
ijassa-570	65	9	into	into	ADP
ijassa-570	65	10	account	account	NOUN
ijassa-570	65	11	qualification	qualification	NOUN
ijassa-570	65	12	and	and	CCONJ
ijassa-570	65	13	specialization	specialization	NOUN
ijassa-570	65	14	of	of	ADP
ijassa-570	65	15	experts	expert	NOUN
ijassa-570	65	16	a	a	DET
ijassa-570	65	17	significant	significant	ADJ
ijassa-570	65	18	part	part	NOUN
ijassa-570	65	19	of	of	ADP
ijassa-570	65	20	objects	object	NOUN
ijassa-570	65	21	shall	shall	AUX
ijassa-570	65	22	be	be	AUX
ijassa-570	65	23	carried	carry	VERB
ijassa-570	65	24	to	to	ADP
ijassa-570	65	25	one	one	NUM
ijassa-570	65	26	of	of	ADP
ijassa-570	65	27	the	the	DET
ijassa-570	65	28	m	m	PROPN
ijassa-570	65	29	classes	class	NOUN
ijassa-570	65	30	,	,	PUNCT
ijassa-570	65	31	the	the	DET
ijassa-570	65	32	number	number	NOUN
ijassa-570	65	33	and	and	CCONJ
ijassa-570	65	34	character	character	NOUN
ijassa-570	65	35	of	of	ADP
ijassa-570	65	36	which	which	PRON
ijassa-570	65	37	are	be	AUX
ijassa-570	65	38	created	create	VERB
ijassa-570	65	39	in	in	ADP
ijassa-570	65	40	the	the	DET
ijassa-570	65	41	course	course	NOUN
ijassa-570	65	42	of	of	ADP
ijassa-570	65	43	execution	execution	NOUN
ijassa-570	65	44	of	of	ADP
ijassa-570	65	45	this	this	DET
ijassa-570	65	46	stage	stage	NOUN
ijassa-570	65	47	.	.	PUNCT
ijassa-570	66	1	additionally	additionally	ADV
ijassa-570	66	2	,	,	PUNCT
ijassa-570	66	3	experts	expert	NOUN
ijassa-570	66	4	can	can	AUX
ijassa-570	66	5	deduce	deduce	VERB
ijassa-570	66	6	subsets	subset	NOUN
ijassa-570	66	7	of	of	ADP
ijassa-570	66	8	reference	reference	NOUN
ijassa-570	66	9	objects	object	NOUN
ijassa-570	66	10	,	,	PUNCT
ijassa-570	66	11	the	the	DET
ijassa-570	66	12	most	most	ADV
ijassa-570	66	13	typical	typical	ADJ
ijassa-570	66	14	for	for	ADP
ijassa-570	66	15	each	each	PRON
ijassa-570	66	16	of	of	ADP
ijassa-570	66	17	the	the	DET
ijassa-570	66	18	classes	class	NOUN
ijassa-570	66	19	.	.	PUNCT
ijassa-570	67	1	hypothetically	hypothetically	ADV
ijassa-570	67	2	,	,	PUNCT
ijassa-570	67	3	it	it	PRON
ijassa-570	67	4	can	can	AUX
ijassa-570	67	5	increase	increase	VERB
ijassa-570	67	6	efficiency	efficiency	NOUN
ijassa-570	67	7	of	of	ADP
ijassa-570	67	8	a	a	DET
ijassa-570	67	9	row	row	NOUN
ijassa-570	67	10	of	of	ADP
ijassa-570	67	11	procedures	procedure	NOUN
ijassa-570	67	12	at	at	ADP
ijassa-570	67	13	an	an	DET
ijassa-570	67	14	objectifying	objectifying	ADJ
ijassa-570	67	15	stage	stage	NOUN
ijassa-570	67	16	.	.	PUNCT
ijassa-570	68	1	however	however	ADV
ijassa-570	68	2	,	,	PUNCT
ijassa-570	68	3	in	in	ADP
ijassa-570	68	4	practice	practice	NOUN
ijassa-570	68	5	it	it	PRON
ijassa-570	68	6	is	be	AUX
ijassa-570	68	7	n't	not	PART
ijassa-570	68	8	always	always	ADV
ijassa-570	68	9	expedient	expedient	ADJ
ijassa-570	68	10	to	to	PART
ijassa-570	68	11	demand	demand	VERB
ijassa-570	68	12	such	such	DET
ijassa-570	68	13	a	a	DET
ijassa-570	68	14	detailed	detailed	ADJ
ijassa-570	68	15	estimation	estimation	NOUN
ijassa-570	68	16	from	from	ADP
ijassa-570	68	17	experts	expert	NOUN
ijassa-570	68	18	.	.	PUNCT
ijassa-570	69	1	it	it	PRON
ijassa-570	69	2	is	be	AUX
ijassa-570	69	3	often	often	ADV
ijassa-570	69	4	necessary	necessary	ADJ
ijassa-570	69	5	to	to	PART
ijassa-570	69	6	deal	deal	VERB
ijassa-570	69	7	with	with	ADP
ijassa-570	69	8	clusters	cluster	NOUN
ijassa-570	69	9	without	without	ADP
ijassa-570	69	10	the	the	DET
ijassa-570	69	11	linear	linear	ADJ
ijassa-570	69	12	order	order	NOUN
ijassa-570	69	13	in	in	ADP
ijassa-570	69	14	between	between	ADP
ijassa-570	69	15	them	they	PRON
ijassa-570	69	16	,	,	PUNCT
ijassa-570	69	17	and	and	CCONJ
ijassa-570	69	18	also	also	ADV
ijassa-570	69	19	with	with	ADP
ijassa-570	69	20	the	the	DET
ijassa-570	69	21	very	very	ADV
ijassa-570	69	22	non	non	ADJ
ijassa-570	69	23	-	-	ADJ
ijassa-570	69	24	uniform	uniform	ADJ
ijassa-570	69	25	structure	structure	NOUN
ijassa-570	69	26	of	of	ADP
ijassa-570	69	27	selection	selection	NOUN
ijassa-570	69	28	of	of	ADP
ijassa-570	69	29	the	the	DET
ijassa-570	69	30	objects	object	NOUN
ijassa-570	69	31	.	.	PUNCT
ijassa-570	70	1	though	though	SCONJ
ijassa-570	70	2	the	the	DET
ijassa-570	70	3	large	large	ADJ
ijassa-570	70	4	number	number	NOUN
ijassa-570	70	5	of	of	ADP
ijassa-570	70	6	researches	research	NOUN
ijassa-570	70	7	is	be	AUX
ijassa-570	70	8	devoted	devote	VERB
ijassa-570	70	9	to	to	ADP
ijassa-570	70	10	finding	find	VERB
ijassa-570	70	11	a	a	DET
ijassa-570	70	12	solution	solution	NOUN
ijassa-570	70	13	to	to	ADP
ijassa-570	70	14	such	such	ADJ
ijassa-570	70	15	problems	problem	NOUN
ijassa-570	70	16	[	[	X
ijassa-570	70	17	4	4	NUM
ijassa-570	70	18	]	]	PUNCT
ijassa-570	70	19	,	,	PUNCT
ijassa-570	70	20	in	in	ADP
ijassa-570	70	21	most	most	ADJ
ijassa-570	70	22	cases	case	NOUN
ijassa-570	70	23	reliability	reliability	NOUN
ijassa-570	70	24	of	of	ADP
ijassa-570	70	25	the	the	DET
ijassa-570	70	26	carried	carry	VERB
ijassa-570	70	27	-	-	PUNCT
ijassa-570	70	28	out	out	ADP
ijassa-570	70	29	expert	expert	NOUN
ijassa-570	70	30	clustering	cluster	VERB
ijassa-570	70	31	,	,	PUNCT
ijassa-570	70	32	owing	owe	VERB
ijassa-570	70	33	to	to	ADP
ijassa-570	70	34	a	a	DET
ijassa-570	70	35	combination	combination	NOUN
ijassa-570	70	36	of	of	ADP
ijassa-570	70	37	the	the	DET
ijassa-570	70	38	objective	objective	ADJ
ijassa-570	70	39	reasons	reason	NOUN
ijassa-570	70	40	and	and	CCONJ
ijassa-570	70	41	subjectivity	subjectivity	NOUN
ijassa-570	70	42	of	of	ADP
ijassa-570	70	43	estimates	estimate	NOUN
ijassa-570	70	44	is	be	AUX
ijassa-570	70	45	insufficient	insufficient	ADJ
ijassa-570	70	46	for	for	ADP
ijassa-570	70	47	practical	practical	ADJ
ijassa-570	70	48	use	use	NOUN
ijassa-570	70	49	.	.	PUNCT
ijassa-570	71	1	this	this	DET
ijassa-570	71	2	circumstance	circumstance	NOUN
ijassa-570	71	3	is	be	AUX
ijassa-570	71	4	one	one	NUM
ijassa-570	71	5	of	of	ADP
ijassa-570	71	6	the	the	DET
ijassa-570	71	7	reasons	reason	NOUN
ijassa-570	71	8	for	for	ADP
ijassa-570	71	9	holding	hold	VERB
ijassa-570	71	10	a	a	DET
ijassa-570	71	11	procedure	procedure	NOUN
ijassa-570	71	12	of	of	ADP
ijassa-570	71	13	increase	increase	NOUN
ijassa-570	71	14	in	in	ADP
ijassa-570	71	15	the	the	DET
ijassa-570	71	16	reliability	reliability	NOUN
ijassa-570	71	17	of	of	ADP
ijassa-570	71	18	expert	expert	NOUN
ijassa-570	71	19	estimation	estimation	NOUN
ijassa-570	71	20	procedure	procedure	NOUN
ijassa-570	71	21	of	of	ADP
ijassa-570	71	22	objectifying	objectifying	NOUN
ijassa-570	71	23	of	of	ADP
ijassa-570	71	24	an	an	DET
ijassa-570	71	25	expert	expert	NOUN
ijassa-570	71	26	clustering	clustering	NOUN
ijassa-570	71	27	.	.	PUNCT
ijassa-570	72	1	after	after	ADP
ijassa-570	72	2	formalization	formalization	NOUN
ijassa-570	72	3	and	and	CCONJ
ijassa-570	72	4	subjective	subjective	ADJ
ijassa-570	72	5	clustering	clustering	NOUN
ijassa-570	72	6	,	,	PUNCT
ijassa-570	72	7	the	the	DET
ijassa-570	72	8	analysis	analysis	NOUN
ijassa-570	72	9	of	of	ADP
ijassa-570	72	10	the	the	DET
ijassa-570	72	11	obtained	obtain	VERB
ijassa-570	72	12	data	datum	NOUN
ijassa-570	72	13	is	be	AUX
ijassa-570	72	14	carried	carry	VERB
ijassa-570	72	15	out	out	ADP
ijassa-570	72	16	.	.	PUNCT
ijassa-570	73	1	in	in	ADP
ijassa-570	73	2	the	the	DET
ijassa-570	73	3	simplest	simple	ADJ
ijassa-570	73	4	version	version	NOUN
ijassa-570	73	5	on	on	ADP
ijassa-570	73	6	two	two	NUM
ijassa-570	73	7	sub	sub	NOUN
ijassa-570	73	8	-	-	ADJ
ijassa-570	73	9	stages	stage	NOUN
ijassa-570	73	10	ranging	ranging	NOUN
ijassa-570	73	11	of	of	ADP
ijassa-570	73	12	each	each	PRON
ijassa-570	73	13	of	of	ADP
ijassa-570	73	14	n	n	PRON
ijassa-570	73	15	vectors	vector	NOUN
ijassa-570	73	16	on	on	ADP
ijassa-570	73	17	a	a	DET
ijassa-570	73	18	level	level	NOUN
ijassa-570	73	19	of	of	ADP
ijassa-570	73	20	belonging	belong	VERB
ijassa-570	73	21	to	to	ADP
ijassa-570	73	22	class	class	NOUN
ijassa-570	73	23	appropriated	appropriate	VERB
ijassa-570	73	24	to	to	ADP
ijassa-570	73	25	an	an	DET
ijassa-570	73	26	object	object	NOUN
ijassa-570	73	27	by	by	ADP
ijassa-570	73	28	expert	expert	ADJ
ijassa-570	73	29	estimates	estimate	NOUN
ijassa-570	73	30	is	be	AUX
ijassa-570	73	31	made	make	VERB
ijassa-570	73	32	.	.	PUNCT
ijassa-570	74	1	of	of	ADP
ijassa-570	74	2	all	all	DET
ijassa-570	74	3	the	the	DET
ijassa-570	74	4	vectors	vector	NOUN
ijassa-570	74	5	of	of	ADP
ijassa-570	74	6	each	each	DET
ijassa-570	74	7	class	class	NOUN
ijassa-570	74	8	,	,	PUNCT
ijassa-570	74	9	the	the	DET
ijassa-570	74	10	first	first	ADJ
ijassa-570	74	11	sub	sub	ADJ
ijassa-570	74	12	-	-	ADJ
ijassa-570	74	13	step	step	ADJ
ijassa-570	74	14	randomly	randomly	NOUN
ijassa-570	74	15	selects	select	VERB
ijassa-570	74	16	a	a	DET
ijassa-570	74	17	part	part	NOUN
ijassa-570	74	18	of	of	ADP
ijassa-570	74	19	the	the	DET
ijassa-570	74	20	vectors	vector	NOUN
ijassa-570	74	21	.	.	PUNCT
ijassa-570	75	1	they	they	PRON
ijassa-570	75	2	are	be	AUX
ijassa-570	75	3	reference	reference	NOUN
ijassa-570	75	4	samples	sample	NOUN
ijassa-570	75	5	(	(	PUNCT
ijassa-570	75	6	rs	rs	NOUN
ijassa-570	75	7	)	)	PUNCT
ijassa-570	75	8	.	.	PUNCT
ijassa-570	76	1	the	the	DET
ijassa-570	76	2	remaining	remain	VERB
ijassa-570	76	3	vectors	vector	NOUN
ijassa-570	76	4	are	be	AUX
ijassa-570	76	5	testing	test	VERB
ijassa-570	76	6	samples	sample	NOUN
ijassa-570	76	7	(	(	PUNCT
ijassa-570	76	8	ts	ts	NOUN
ijassa-570	76	9	)	)	PUNCT
ijassa-570	76	10	.	.	PUNCT
ijassa-570	77	1	next	next	ADV
ijassa-570	77	2	,	,	PUNCT
ijassa-570	77	3	based	base	VERB
ijassa-570	77	4	on	on	ADP
ijassa-570	77	5	rs	r	NOUN
ijassa-570	77	6	,	,	PUNCT
ijassa-570	77	7	we	we	PRON
ijassa-570	77	8	look	look	VERB
ijassa-570	77	9	for	for	ADP
ijassa-570	77	10	the	the	DET
ijassa-570	77	11	l	l	NOUN
ijassa-570	77	12	most	most	ADV
ijassa-570	77	13	effective	effective	ADJ
ijassa-570	77	14	parameters	parameter	NOUN
ijassa-570	77	15	for	for	ADP
ijassa-570	77	16	identification	identification	NOUN
ijassa-570	77	17	.	.	PUNCT
ijassa-570	78	1	the	the	DET
ijassa-570	78	2	identification	identification	NOUN
ijassa-570	78	3	of	of	ADP
ijassa-570	78	4	vectors	vector	NOUN
ijassa-570	78	5	from	from	ADP
ijassa-570	78	6	ts	ts	ADV
ijassa-570	78	7	is	be	AUX
ijassa-570	78	8	carried	carry	VERB
ijassa-570	78	9	out	out	ADP
ijassa-570	78	10	further	far	ADV
ijassa-570	78	11	.	.	PUNCT
ijassa-570	79	1	the	the	DET
ijassa-570	79	2	sequence	sequence	NOUN
ijassa-570	79	3	of	of	ADP
ijassa-570	79	4	the	the	DET
ijassa-570	79	5	described	describe	VERB
ijassa-570	79	6	procedures	procedure	NOUN
ijassa-570	79	7	,	,	PUNCT
ijassa-570	79	8	starting	start	VERB
ijassa-570	79	9	with	with	ADP
ijassa-570	79	10	the	the	DET
ijassa-570	79	11	formation	formation	NOUN
ijassa-570	79	12	of	of	ADP
ijassa-570	79	13	rs	rs	NOUN
ijassa-570	79	14	,	,	PUNCT
ijassa-570	79	15	cyclically	cyclically	ADV
ijassa-570	79	16	repeats	repeat	NOUN
ijassa-570	79	17	.	.	PUNCT
ijassa-570	80	1	the	the	DET
ijassa-570	80	2	number	number	NOUN
ijassa-570	80	3	of	of	ADP
ijassa-570	80	4	cycles	cycle	NOUN
ijassa-570	80	5	depends	depend	VERB
ijassa-570	80	6	on	on	ADP
ijassa-570	80	7	the	the	DET
ijassa-570	80	8	rs	rs	NOUN
ijassa-570	80	9	and	and	CCONJ
ijassa-570	80	10	ts	ts	ADP
ijassa-570	80	11	volume	volume	NOUN
ijassa-570	80	12	.	.	PUNCT
ijassa-570	81	1	during	during	ADP
ijassa-570	81	2	each	each	DET
ijassa-570	81	3	cycle	cycle	NOUN
ijassa-570	81	4	for	for	ADP
ijassa-570	81	5	each	each	DET
ijassa-570	81	6	vector	vector	PROPN
ijassa-570	81	7	nv	nv	PROPN
ijassa-570	81	8			ADP
ijassa-570	81	9	the	the	DET
ijassa-570	81	10	current	current	ADJ
ijassa-570	81	11	(	(	PUNCT
ijassa-570	81	12	total	total	ADJ
ijassa-570	81	13	)	)	PUNCT
ijassa-570	81	14	number	number	NOUN
ijassa-570	81	15	sn	sn	NOUN
ijassa-570	81	16	of	of	ADP
ijassa-570	81	17	getting	get	VERB
ijassa-570	81	18	into	into	ADP
ijassa-570	81	19	the	the	DET
ijassa-570	81	20	ts	ts	NOUN
ijassa-570	81	21	is	be	AUX
ijassa-570	81	22	counted	count	VERB
ijassa-570	81	23	and	and	CCONJ
ijassa-570	81	24	,	,	PUNCT
ijassa-570	81	25	if	if	SCONJ
ijassa-570	81	26	the	the	DET
ijassa-570	81	27	identification	identification	NOUN
ijassa-570	81	28	score	score	NOUN
ijassa-570	81	29	e	e	NOUN
ijassa-570	81	30	of	of	ADP
ijassa-570	81	31	the	the	DET
ijassa-570	81	32	vector	vector	NOUN
ijassa-570	81	33	class	class	NOUN
ijassa-570	81	34	coincides	coincide	VERB
ijassa-570	81	35	with	with	ADP
ijassa-570	81	36	the	the	DET
ijassa-570	81	37	expert	expert	ADJ
ijassa-570	81	38	evaluation	evaluation	NOUN
ijassa-570	81	39	of	of	ADP
ijassa-570	81	40	the	the	DET
ijassa-570	81	41	*	*	PROPN
ijassa-570	81	42	e	e	NOUN
ijassa-570	81	43	class	class	NOUN
ijassa-570	81	44	,	,	PUNCT
ijassa-570	81	45	the	the	DET
ijassa-570	81	46	current	current	ADJ
ijassa-570	81	47	(	(	PUNCT
ijassa-570	81	48	total	total	ADJ
ijassa-570	81	49	)	)	PUNCT
ijassa-570	81	50	number	number	NOUN
ijassa-570	81	51	of	of	ADP
ijassa-570	81	52	correct	correct	ADJ
ijassa-570	81	53	identifications	identification	NOUN
ijassa-570	81	54	increases	increase	NOUN
ijassa-570	81	55	:	:	PUNCT
ijassa-570	81	56	(	(	PUNCT
ijassa-570	81	57	)	)	PUNCT
ijassa-570	81	58	(	(	PUNCT
ijassa-570	81	59	)	)	PUNCT
ijassa-570	81	60	(	(	PUNCT
ijassa-570	81	61	)	)	PUNCT
ijassa-570	81	62	*	*	PUNCT
ijassa-570	81	63	,	,	PUNCT
ijassa-570	81	64	1	1	NUM
ijassa-570	81	65	&	&	CCONJ
ijassa-570	81	66	1	1	NUM
ijassa-570	81	67	.n	.n	ADJ
ijassa-570	81	68	n	n	CCONJ
ijassa-570	81	69	n	n	CCONJ
ijassa-570	81	70	n	n	CCONJ
ijassa-570	81	71	n	n	CCONJ
ijassa-570	81	72	n	n	PROPN
ijassa-570	81	73	nj	nj	PROPN
ijassa-570	81	74	njv	njv	NOUN
ijassa-570	81	75	ts	ts	ADP
ijassa-570	81	76	s	s	X
ijassa-570	81	77	s	s	X
ijassa-570	81	78	ev	ev	ADP
ijassa-570	81	79	e	e	PROPN
ijassa-570	81	80	v	v	NOUN
ijassa-570	81	81	s	s	PART
ijassa-570	81	82	s	s	ADJ
ijassa-570	81	83			NOUN
ijassa-570	81	84	=	=	PUNCT
ijassa-570	82	1	+	+	PUNCT
ijassa-570	82	2	=	=	SYM
ijassa-570	82	3	→	→	SYM
ijassa-570	82	4	=	=	SYM
ijassa-570	83	1	+	+	CCONJ
ijassa-570	83	2	,	,	PUNCT
ijassa-570	83	3	,	,	PUNCT
ijassa-570	83	4	0	0	NUM
ijassa-570	83	5	&	&	CCONJ
ijassa-570	83	6	(	(	PUNCT
ijassa-570	83	7	(	(	PUNCT
ijassa-570	83	8	)	)	PUNCT
ijassa-570	83	9	(	(	PUNCT
ijassa-570	83	10	)	)	PUNCT
ijassa-570	83	11	)	)	PUNCT
ijassa-570	84	1	(	(	PUNCT
ijassa-570	84	2	(	(	PUNCT
ijassa-570	84	3	)	)	PUNCT
ijassa-570	84	4	(	(	PUNCT
ijassa-570	84	5	1	1	NUM
ijassa-570	84	6	)	)	PUNCT
ijassa-570	84	7	.	.	PUNCT
ijassa-570	84	8	)	)	PUNCT
ijassa-570	85	1	i	i	PRON
ijassa-570	85	2	ii	ii	VERB
ijassa-570	85	3	ia	ia	PROPN
ijassa-570	85	4	a	a	ADV
ijassa-570	85	5			PRON
ijassa-570	85	6			AUX
ijassa-570	85	7			VERB
ijassa-570	85	8			NOUN
ijassa-570	85	9	=	=	NOUN
ijassa-570	85	10			PROPN
ijassa-570	85	11	=	=	SYM
ijassa-570	85	12			PROPN
ijassa-570	85	13	as	as	ADP
ijassa-570	85	14	a	a	DET
ijassa-570	85	15	result	result	NOUN
ijassa-570	85	16	,	,	PUNCT
ijassa-570	85	17	the	the	DET
ijassa-570	85	18	preliminary	preliminary	ADJ
ijassa-570	85	19	cluster	cluster	NOUN
ijassa-570	85	20	coefficient	coefficient	NOUN
ijassa-570	85	21	of	of	ADP
ijassa-570	85	22	membership	membership	NOUN
ijassa-570	85	23	is	be	AUX
ijassa-570	85	24	calculated	calculate	VERB
ijassa-570	85	25	for	for	ADP
ijassa-570	85	26	the	the	DET
ijassa-570	85	27	j	j	PROPN
ijassa-570	85	28	-	-	PROPN
ijassa-570	85	29	the	the	DET
ijassa-570	85	30	class	class	NOUN
ijassa-570	85	31	knj	knj	NOUN
ijassa-570	85	32	=	=	SYM
ijassa-570	85	33	snj	snj	ADJ
ijassa-570	85	34	/	/	SYM
ijassa-570	85	35	sn	sn	NOUN
ijassa-570	85	36	.	.	PUNCT
ijassa-570	86	1	also	also	ADV
ijassa-570	86	2	levels	level	NOUN
ijassa-570	86	3	of	of	ADP
ijassa-570	86	4	belonging	belong	VERB
ijassa-570	86	5	to	to	ADP
ijassa-570	86	6	others	other	NOUN
ijassa-570	86	7	classes	class	NOUN
ijassa-570	86	8	are	be	AUX
ijassa-570	86	9	calculated	calculate	VERB
ijassa-570	86	10	(	(	PUNCT
ijassa-570	86	11	"	"	PUNCT
ijassa-570	86	12	nkk	nkk	X
ijassa-570	86	13	)	)	PUNCT
ijassa-570	86	14	.	.	PUNCT
ijassa-570	87	1	the	the	DET
ijassa-570	87	2	second	second	ADJ
ijassa-570	87	3	substep	substep	NOUN
ijassa-570	87	4	is	be	AUX
ijassa-570	87	5	similar	similar	ADJ
ijassa-570	87	6	to	to	ADP
ijassa-570	87	7	the	the	DET
ijassa-570	87	8	first	first	ADJ
ijassa-570	87	9	one	one	NUM
ijassa-570	87	10	,	,	PUNCT
ijassa-570	87	11	with	with	ADP
ijassa-570	87	12	the	the	DET
ijassa-570	87	13	difference	difference	NOUN
ijassa-570	87	14	that	that	PRON
ijassa-570	87	15	the	the	DET
ijassa-570	87	16	rs	rs	NOUN
ijassa-570	87	17	is	be	AUX
ijassa-570	87	18	created	create	VERB
ijassa-570	87	19	from	from	ADP
ijassa-570	87	20	those	those	DET
ijassa-570	87	21	vectors	vector	NOUN
ijassa-570	87	22	that	that	PRON
ijassa-570	87	23	have	have	VERB
ijassa-570	87	24	high	high	ADJ
ijassa-570	87	25	preliminary	preliminary	ADJ
ijassa-570	87	26	cluster	cluster	NOUN
ijassa-570	87	27	coefficients	coefficient	NOUN
ijassa-570	87	28	.	.	PUNCT
ijassa-570	88	1	then	then	ADV
ijassa-570	88	2	,	,	PUNCT
ijassa-570	88	3	the	the	DET
ijassa-570	88	4	cluster	cluster	NOUN
ijassa-570	88	5	coefficients	coefficient	VERB
ijassa-570	88	6	for	for	ADP
ijassa-570	88	7	the	the	DET
ijassa-570	88	8	entire	entire	ADJ
ijassa-570	88	9	array	array	NOUN
ijassa-570	88	10	of	of	ADP
ijassa-570	88	11	vectors	vector	NOUN
ijassa-570	88	12	are	be	AUX
ijassa-570	88	13	calculated	calculate	VERB
ijassa-570	88	14	,	,	PUNCT
ijassa-570	88	15	and	and	CCONJ
ijassa-570	88	16	the	the	DET
ijassa-570	88	17	vectors	vector	NOUN
ijassa-570	88	18	are	be	AUX
ijassa-570	88	19	ranked	rank	VERB
ijassa-570	88	20	according	accord	VERB
ijassa-570	88	21	to	to	ADP
ijassa-570	88	22	these	these	DET
ijassa-570	88	23	coefficients	coefficient	NOUN
ijassa-570	88	24	.	.	PUNCT
ijassa-570	89	1	the	the	DET
ijassa-570	89	2	need	need	NOUN
ijassa-570	89	3	for	for	ADP
ijassa-570	89	4	two	two	NUM
ijassa-570	89	5	sub	sub	NOUN
ijassa-570	89	6	-	-	NOUN
ijassa-570	89	7	stages	stage	NOUN
ijassa-570	89	8	are	be	AUX
ijassa-570	89	9	due	due	ADJ
ijassa-570	89	10	to	to	ADP
ijassa-570	89	11	the	the	DET
ijassa-570	89	12	use	use	NOUN
ijassa-570	89	13	in	in	ADP
ijassa-570	89	14	rs	rs	NOUN
ijassa-570	89	15	of	of	ADP
ijassa-570	89	16	the	the	DET
ijassa-570	89	17	first	first	ADJ
ijassa-570	89	18	sub	sub	NOUN
ijassa-570	89	19	-	-	NOUN
ijassa-570	89	20	stage	stage	NOUN
ijassa-570	89	21	of	of	ADP
ijassa-570	89	22	vectors	vector	NOUN
ijassa-570	89	23	that	that	PRON
ijassa-570	89	24	could	could	AUX
ijassa-570	89	25	be	be	AUX
ijassa-570	89	26	incorrectly	incorrectly	ADV
ijassa-570	89	27	classified	classify	VERB
ijassa-570	89	28	.	.	PUNCT
ijassa-570	90	1	it	it	PRON
ijassa-570	90	2	reminds	remind	VERB
ijassa-570	90	3	the	the	DET
ijassa-570	90	4	idea	idea	NOUN
ijassa-570	90	5	of	of	ADP
ijassa-570	90	6	a	a	DET
ijassa-570	90	7	busting	busting	NOUN
ijassa-570	90	8	[	[	X
ijassa-570	90	9	5	5	NUM
ijassa-570	90	10	]	]	PUNCT
ijassa-570	90	11	.	.	PUNCT
ijassa-570	91	1	the	the	DET
ijassa-570	91	2	application	application	NOUN
ijassa-570	91	3	of	of	ADP
ijassa-570	91	4	algorithms	algorithm	NOUN
ijassa-570	91	5	of	of	ADP
ijassa-570	91	6	objectifying	objectifying	ADJ
ijassa-570	91	7	expert	expert	NOUN
ijassa-570	91	8	clustering	cluster	VERB
ijassa-570	91	9	105	105	NUM
ijassa-570	91	10	copyright	copyright	NOUN
ijassa-570	91	11	©	©	PROPN
ijassa-570	91	12	2018	2018	NUM
ijassa-570	91	13	assa	assa	NOUN
ijassa-570	91	14	.	.	PUNCT
ijassa-570	92	1	adv	adv	PROPN
ijassa-570	92	2	.	.	PUNCT
ijassa-570	93	1	in	in	ADP
ijassa-570	93	2	systems	system	NOUN
ijassa-570	93	3	science	science	NOUN
ijassa-570	93	4	and	and	CCONJ
ijassa-570	93	5	appl	appl	NOUN
ijassa-570	93	6	.	.	PUNCT
ijassa-570	94	1	(	(	PUNCT
ijassa-570	94	2	2018	2018	NUM
ijassa-570	94	3	)	)	PUNCT
ijassa-570	94	4	difference	difference	NOUN
ijassa-570	94	5	between	between	ADP
ijassa-570	94	6	the	the	DET
ijassa-570	94	7	ordered	order	VERB
ijassa-570	94	8	sequences	sequence	NOUN
ijassa-570	94	9	of	of	ADP
ijassa-570	94	10	the	the	DET
ijassa-570	94	11	first	first	ADJ
ijassa-570	94	12	and	and	CCONJ
ijassa-570	94	13	the	the	DET
ijassa-570	94	14	second	second	ADJ
ijassa-570	94	15	ranging	ranging	NOUN
ijassa-570	94	16	depends	depend	VERB
ijassa-570	94	17	on	on	ADP
ijassa-570	94	18	the	the	DET
ijassa-570	94	19	quality	quality	NOUN
ijassa-570	94	20	of	of	ADP
ijassa-570	94	21	an	an	DET
ijassa-570	94	22	expert	expert	NOUN
ijassa-570	94	23	clustering	cluster	VERB
ijassa-570	94	24	and	and	CCONJ
ijassa-570	94	25	can	can	AUX
ijassa-570	94	26	make	make	VERB
ijassa-570	94	27	10	10	NUM
ijassa-570	94	28	%	%	NOUN
ijassa-570	94	29	and	and	CCONJ
ijassa-570	94	30	more	more	ADJ
ijassa-570	94	31	.	.	PUNCT
ijassa-570	95	1	as	as	SCONJ
ijassa-570	95	2	practice	practice	NOUN
ijassa-570	95	3	[	[	X
ijassa-570	95	4	2	2	NUM
ijassa-570	95	5	]	]	PUNCT
ijassa-570	95	6	showed	show	VERB
ijassa-570	95	7	,	,	PUNCT
ijassa-570	95	8	carrying	carry	VERB
ijassa-570	95	9	out	out	ADP
ijassa-570	95	10	additional	additional	ADJ
ijassa-570	95	11	ranging	ranging	NOUN
ijassa-570	95	12	after	after	SCONJ
ijassa-570	95	13	the	the	DET
ijassa-570	95	14	second	second	ADJ
ijassa-570	95	15	one	one	NOUN
ijassa-570	95	16	does	do	AUX
ijassa-570	95	17	n't	not	PART
ijassa-570	95	18	give	give	VERB
ijassa-570	95	19	noticeable	noticeable	ADJ
ijassa-570	95	20	effect	effect	NOUN
ijassa-570	95	21	any	any	PRON
ijassa-570	95	22	more	more	ADV
ijassa-570	95	23	.	.	PUNCT
ijassa-570	96	1	this	this	DET
ijassa-570	96	2	kind	kind	NOUN
ijassa-570	96	3	of	of	ADP
ijassa-570	96	4	adjustment	adjustment	NOUN
ijassa-570	96	5	approach	approach	NOUN
ijassa-570	96	6	is	be	AUX
ijassa-570	96	7	used	use	VERB
ijassa-570	96	8	in	in	ADP
ijassa-570	96	9	tasks	task	NOUN
ijassa-570	96	10	with	with	ADP
ijassa-570	96	11	overlapping	overlap	VERB
ijassa-570	96	12	class	class	NOUN
ijassa-570	96	13	distributions	distribution	NOUN
ijassa-570	96	14	,	,	PUNCT
ijassa-570	96	15	when	when	SCONJ
ijassa-570	96	16	those	those	DET
ijassa-570	96	17	vectors	vector	NOUN
ijassa-570	96	18	on	on	ADP
ijassa-570	96	19	which	which	PRON
ijassa-570	96	20	the	the	DET
ijassa-570	96	21	classifier	classifier	NOUN
ijassa-570	96	22	is	be	AUX
ijassa-570	96	23	mistaken	mistaken	ADJ
ijassa-570	96	24	are	be	AUX
ijassa-570	96	25	removed	remove	VERB
ijassa-570	96	26	from	from	ADP
ijassa-570	96	27	the	the	DET
ijassa-570	96	28	rs	rs	NOUN
ijassa-570	96	29	.	.	PUNCT
ijassa-570	97	1	in	in	ADP
ijassa-570	97	2	our	our	PRON
ijassa-570	97	3	case	case	NOUN
ijassa-570	97	4	owing	owe	VERB
ijassa-570	97	5	to	to	ADP
ijassa-570	97	6	influence	influence	NOUN
ijassa-570	97	7	of	of	ADP
ijassa-570	97	8	a	a	DET
ijassa-570	97	9	human	human	ADJ
ijassa-570	97	10	factor	factor	NOUN
ijassa-570	97	11	the	the	DET
ijassa-570	97	12	composition	composition	NOUN
ijassa-570	97	13	of	of	ADP
ijassa-570	97	14	these	these	DET
ijassa-570	97	15	false	false	ADJ
ijassa-570	97	16	vectors	vector	NOUN
ijassa-570	97	17	increases	increase	VERB
ijassa-570	97	18	at	at	ADP
ijassa-570	97	19	the	the	DET
ijassa-570	97	20	expense	expense	NOUN
ijassa-570	97	21	of	of	ADP
ijassa-570	97	22	trivial	trivial	ADJ
ijassa-570	97	23	errors	error	NOUN
ijassa-570	97	24	of	of	ADP
ijassa-570	97	25	experts	expert	NOUN
ijassa-570	97	26	.	.	PUNCT
ijassa-570	98	1	as	as	ADP
ijassa-570	98	2	for	for	ADP
ijassa-570	98	3	the	the	DET
ijassa-570	98	4	procedure	procedure	NOUN
ijassa-570	98	5	of	of	ADP
ijassa-570	98	6	search	search	NOUN
ijassa-570	98	7	of	of	ADP
ijassa-570	98	8	the	the	DET
ijassa-570	98	9	most	most	ADV
ijassa-570	98	10	effective	effective	ADJ
ijassa-570	98	11	parameters	parameter	NOUN
ijassa-570	98	12	[	[	X
ijassa-570	98	13	p1	p1	NOUN
ijassa-570	98	14	…	…	SYM
ijassa-570	98	15	pl	pl	X
ijassa-570	98	16	]	]	X
ijassa-570	98	17	for	for	ADP
ijassa-570	98	18	the	the	DET
ijassa-570	98	19	identification	identification	NOUN
ijassa-570	98	20	made	make	VERB
ijassa-570	98	21	every	every	DET
ijassa-570	98	22	time	time	NOUN
ijassa-570	98	23	when	when	SCONJ
ijassa-570	98	24	rs	rs	NOUN
ijassa-570	98	25	is	be	AUX
ijassa-570	98	26	created	create	VERB
ijassa-570	98	27	,	,	PUNCT
ijassa-570	98	28	execution	execution	NOUN
ijassa-570	98	29	of	of	ADP
ijassa-570	98	30	this	this	DET
ijassa-570	98	31	procedure	procedure	NOUN
ijassa-570	98	32	practically	practically	ADV
ijassa-570	98	33	is	be	AUX
ijassa-570	98	34	the	the	DET
ijassa-570	98	35	execution	execution	NOUN
ijassa-570	98	36	of	of	ADP
ijassa-570	98	37	the	the	DET
ijassa-570	98	38	task	task	NOUN
ijassa-570	98	39	of	of	ADP
ijassa-570	98	40	retraining	retrain	VERB
ijassa-570	98	41	[	[	X
ijassa-570	98	42	6	6	NUM
ijassa-570	98	43	]	]	PUNCT
ijassa-570	98	44	with	with	ADP
ijassa-570	98	45	the	the	DET
ijassa-570	98	46	minimum	minimum	ADJ
ijassa-570	98	47	level	level	NOUN
ijassa-570	98	48	of	of	ADP
ijassa-570	98	49	formalization	formalization	NOUN
ijassa-570	98	50	of	of	ADP
ijassa-570	98	51	models	model	NOUN
ijassa-570	98	52	.	.	PUNCT
ijassa-570	99	1	in	in	ADP
ijassa-570	99	2	this	this	DET
ijassa-570	99	3	case	case	NOUN
ijassa-570	99	4	there	there	PRON
ijassa-570	99	5	are	be	VERB
ijassa-570	99	6	no	no	DET
ijassa-570	99	7	explicit	explicit	ADJ
ijassa-570	99	8	assumptions	assumption	NOUN
ijassa-570	99	9	about	about	ADP
ijassa-570	99	10	the	the	DET
ijassa-570	99	11	probability	probability	NOUN
ijassa-570	99	12	distributions	distribution	NOUN
ijassa-570	99	13	used	use	VERB
ijassa-570	99	14	in	in	ADP
ijassa-570	99	15	the	the	DET
ijassa-570	99	16	majority	majority	NOUN
ijassa-570	99	17	of	of	ADP
ijassa-570	99	18	operations	operation	NOUN
ijassa-570	99	19	on	on	ADP
ijassa-570	99	20	a	a	DET
ijassa-570	99	21	clustering	clustering	NOUN
ijassa-570	99	22	,	,	PUNCT
ijassa-570	99	23	recognition	recognition	NOUN
ijassa-570	99	24	,	,	PUNCT
ijassa-570	99	25	etc	etc	X
ijassa-570	99	26	.	.	X
ijassa-570	99	27	in	in	ADP
ijassa-570	99	28	the	the	DET
ijassa-570	99	29	classical	classical	ADJ
ijassa-570	99	30	task	task	NOUN
ijassa-570	99	31	of	of	ADP
ijassa-570	99	32	retraining	retrain	VERB
ijassa-570	99	33	after	after	ADP
ijassa-570	99	34	training	training	NOUN
ijassa-570	99	35	at	at	ADP
ijassa-570	99	36	rs	rs	NOUN
ijassa-570	99	37	a	a	DET
ijassa-570	99	38	retraining	retraining	NOUN
ijassa-570	99	39	on	on	ADP
ijassa-570	99	40	test	test	NOUN
ijassa-570	99	41	selection	selection	NOUN
ijassa-570	99	42	usually	usually	ADV
ijassa-570	99	43	takes	take	VERB
ijassa-570	99	44	place	place	NOUN
ijassa-570	99	45	.	.	PUNCT
ijassa-570	100	1	in	in	ADP
ijassa-570	100	2	the	the	DET
ijassa-570	100	3	described	describe	VERB
ijassa-570	100	4	procedure	procedure	NOUN
ijassa-570	100	5	,	,	PUNCT
ijassa-570	100	6	it	it	PRON
ijassa-570	100	7	also	also	ADV
ijassa-570	100	8	occurs	occur	VERB
ijassa-570	100	9	in	in	ADP
ijassa-570	100	10	the	the	DET
ijassa-570	100	11	course	course	NOUN
ijassa-570	100	12	of	of	ADP
ijassa-570	100	13	iterations	iteration	NOUN
ijassa-570	100	14	of	of	ADP
ijassa-570	100	15	an	an	DET
ijassa-570	100	16	algorithm	algorithm	NOUN
ijassa-570	100	17	of	of	ADP
ijassa-570	100	18	ranging	ranging	NOUN
ijassa-570	100	19	.	.	PUNCT
ijassa-570	101	1	3	3	X
ijassa-570	101	2	.	.	X
ijassa-570	101	3	procedure	procedure	NOUN
ijassa-570	101	4	of	of	ADP
ijassa-570	101	5	objectifying	objectifying	ADJ
ijassa-570	101	6	next	next	ADV
ijassa-570	101	7	,	,	PUNCT
ijassa-570	101	8	objectifying	objectifying	ADJ
ijassa-570	101	9	is	be	AUX
ijassa-570	101	10	carried	carry	VERB
ijassa-570	101	11	out	out	ADP
ijassa-570	101	12	.	.	PUNCT
ijassa-570	102	1	an	an	DET
ijassa-570	102	2	iterative	iterative	NOUN
ijassa-570	102	3	procedure	procedure	NOUN
ijassa-570	102	4	for	for	ADP
ijassa-570	102	5	adjusting	adjust	VERB
ijassa-570	102	6	evaluation	evaluation	NOUN
ijassa-570	102	7	results	result	NOUN
ijassa-570	102	8	applies	apply	VERB
ijassa-570	102	9	to	to	ADP
ijassa-570	102	10	expert	expert	NOUN
ijassa-570	102	11	assessments	assessment	NOUN
ijassa-570	102	12	.	.	PUNCT
ijassa-570	103	1	generally	generally	ADV
ijassa-570	103	2	,	,	PUNCT
ijassa-570	103	3	an	an	DET
ijassa-570	103	4	expert	expert	NOUN
ijassa-570	103	5	takes	take	VERB
ijassa-570	103	6	part	part	NOUN
ijassa-570	103	7	in	in	ADP
ijassa-570	103	8	the	the	DET
ijassa-570	103	9	decision	decision	NOUN
ijassa-570	103	10	to	to	PART
ijassa-570	103	11	reclassify	reclassify	VERB
ijassa-570	103	12	.	.	PUNCT
ijassa-570	104	1	that	that	ADV
ijassa-570	104	2	is	is	ADV
ijassa-570	104	3	,	,	PUNCT
ijassa-570	104	4	the	the	DET
ijassa-570	104	5	procedure	procedure	NOUN
ijassa-570	104	6	is	be	AUX
ijassa-570	104	7	interactive	interactive	ADJ
ijassa-570	104	8	.	.	PUNCT
ijassa-570	105	1	this	this	PRON
ijassa-570	105	2	is	be	AUX
ijassa-570	105	3	justified	justify	VERB
ijassa-570	105	4	by	by	ADP
ijassa-570	105	5	the	the	DET
ijassa-570	105	6	non	non	ADJ
ijassa-570	105	7	-	-	ADJ
ijassa-570	105	8	absolute	absolute	ADJ
ijassa-570	105	9	validity	validity	NOUN
ijassa-570	105	10	of	of	ADP
ijassa-570	105	11	the	the	DET
ijassa-570	105	12	parameters	parameter	NOUN
ijassa-570	105	13	used	use	VERB
ijassa-570	105	14	,	,	PUNCT
ijassa-570	105	15	by	by	ADP
ijassa-570	105	16	the	the	DET
ijassa-570	105	17	complexity	complexity	NOUN
ijassa-570	105	18	of	of	ADP
ijassa-570	105	19	the	the	DET
ijassa-570	105	20	choice	choice	NOUN
ijassa-570	105	21	of	of	ADP
ijassa-570	105	22	minimum	minimum	ADJ
ijassa-570	105	23	and	and	CCONJ
ijassa-570	105	24	maximum	maximum	ADJ
ijassa-570	105	25	threshold	threshold	NOUN
ijassa-570	105	26	values	value	NOUN
ijassa-570	105	27	,	,	PUNCT
ijassa-570	105	28	and	and	CCONJ
ijassa-570	105	29	also	also	ADV
ijassa-570	105	30	in	in	ADP
ijassa-570	105	31	the	the	DET
ijassa-570	105	32	initial	initial	ADJ
ijassa-570	105	33	subjective	subjective	ADJ
ijassa-570	105	34	formation	formation	NOUN
ijassa-570	105	35	of	of	ADP
ijassa-570	105	36	the	the	DET
ijassa-570	105	37	number	number	NOUN
ijassa-570	105	38	of	of	ADP
ijassa-570	105	39	classes	class	NOUN
ijassa-570	105	40	and	and	CCONJ
ijassa-570	105	41	the	the	DET
ijassa-570	105	42	composition	composition	NOUN
ijassa-570	105	43	of	of	ADP
ijassa-570	105	44	classes	class	NOUN
ijassa-570	105	45	.	.	PUNCT
ijassa-570	106	1	as	as	SCONJ
ijassa-570	106	2	practice	practice	NOUN
ijassa-570	106	3	shows	show	NOUN
ijassa-570	106	4	,	,	PUNCT
ijassa-570	106	5	as	as	ADP
ijassa-570	106	6	a	a	DET
ijassa-570	106	7	result	result	NOUN
ijassa-570	106	8	of	of	ADP
ijassa-570	106	9	completely	completely	ADV
ijassa-570	106	10	automatic	automatic	ADJ
ijassa-570	106	11	objectifying	objectifying	NOUN
ijassa-570	106	12	,	,	PUNCT
ijassa-570	106	13	for	for	ADP
ijassa-570	106	14	instance	instance	NOUN
ijassa-570	106	15	the	the	DET
ijassa-570	106	16	class	class	NOUN
ijassa-570	106	17	,	,	PUNCT
ijassa-570	106	18	which	which	PRON
ijassa-570	106	19	has	have	VERB
ijassa-570	106	20	important	important	ADJ
ijassa-570	106	21	application	application	NOUN
ijassa-570	106	22	-	-	PUNCT
ijassa-570	106	23	oriented	orient	VERB
ijassa-570	106	24	properties	property	NOUN
ijassa-570	106	25	,	,	PUNCT
ijassa-570	106	26	can	can	AUX
ijassa-570	106	27	disappear	disappear	VERB
ijassa-570	106	28	.	.	PUNCT
ijassa-570	107	1	as	as	ADP
ijassa-570	107	2	a	a	DET
ijassa-570	107	3	result	result	NOUN
ijassa-570	107	4	of	of	ADP
ijassa-570	107	5	objectifying	objectify	VERB
ijassa-570	107	6	certainly	certainly	ADV
ijassa-570	107	7	erratic	erratic	ADJ
ijassa-570	107	8	decisions	decision	NOUN
ijassa-570	107	9	of	of	ADP
ijassa-570	107	10	experts	expert	NOUN
ijassa-570	107	11	are	be	AUX
ijassa-570	107	12	eliminated	eliminate	VERB
ijassa-570	107	13	,	,	PUNCT
ijassa-570	107	14	reliability	reliability	NOUN
ijassa-570	107	15	of	of	ADP
ijassa-570	107	16	the	the	DET
ijassa-570	107	17	results	result	NOUN
ijassa-570	107	18	of	of	ADP
ijassa-570	107	19	a	a	DET
ijassa-570	107	20	clustering	cluster	VERB
ijassa-570	107	21	increases	increase	NOUN
ijassa-570	107	22	and	and	CCONJ
ijassa-570	107	23	more	more	ADV
ijassa-570	107	24	adequate	adequate	ADJ
ijassa-570	107	25	formalized	formalize	VERB
ijassa-570	107	26	methods	method	NOUN
ijassa-570	107	27	of	of	ADP
ijassa-570	107	28	identification	identification	NOUN
ijassa-570	107	29	of	of	ADP
ijassa-570	107	30	the	the	DET
ijassa-570	107	31	experimental	experimental	ADJ
ijassa-570	107	32	data	datum	NOUN
ijassa-570	107	33	are	be	AUX
ijassa-570	107	34	created	create	VERB
ijassa-570	107	35	.	.	PUNCT
ijassa-570	108	1	in	in	ADP
ijassa-570	108	2	addition	addition	NOUN
ijassa-570	108	3	to	to	ADP
ijassa-570	108	4	the	the	DET
ijassa-570	108	5	function	function	NOUN
ijassa-570	108	6	of	of	ADP
ijassa-570	108	7	"	"	PUNCT
ijassa-570	108	8	heal	heal	VERB
ijassa-570	108	9	the	the	DET
ijassa-570	108	10	subset	subset	NOUN
ijassa-570	108	11	of	of	ADP
ijassa-570	108	12	classes	class	NOUN
ijassa-570	108	13	"	"	PUNCT
ijassa-570	108	14	,	,	PUNCT
ijassa-570	108	15	the	the	DET
ijassa-570	108	16	objectifying	objectifying	ADJ
ijassa-570	108	17	procedure	procedure	NOUN
ijassa-570	108	18	also	also	ADV
ijassa-570	108	19	has	have	VERB
ijassa-570	108	20	other	other	ADJ
ijassa-570	108	21	useful	useful	ADJ
ijassa-570	108	22	properties	property	NOUN
ijassa-570	108	23	.	.	PUNCT
ijassa-570	109	1	first	first	ADV
ijassa-570	109	2	of	of	ADP
ijassa-570	109	3	all	all	PRON
ijassa-570	109	4	,	,	PUNCT
ijassa-570	109	5	it	it	PRON
ijassa-570	109	6	allows	allow	VERB
ijassa-570	109	7	to	to	PART
ijassa-570	109	8	estimate	estimate	VERB
ijassa-570	109	9	the	the	DET
ijassa-570	109	10	competence	competence	NOUN
ijassa-570	109	11	of	of	ADP
ijassa-570	109	12	a	a	DET
ijassa-570	109	13	clustering	clustering	NOUN
ijassa-570	109	14	for	for	ADP
ijassa-570	109	15	each	each	PRON
ijassa-570	109	16	of	of	ADP
ijassa-570	109	17	classes	class	NOUN
ijassa-570	109	18	,	,	PUNCT
ijassa-570	109	19	and	and	CCONJ
ijassa-570	109	20	also	also	ADV
ijassa-570	109	21	in	in	ADP
ijassa-570	109	22	addition	addition	NOUN
ijassa-570	109	23	certifies	certifie	NOUN
ijassa-570	109	24	measurable	measurable	ADJ
ijassa-570	109	25	parameters	parameter	NOUN
ijassa-570	109	26	on	on	ADP
ijassa-570	109	27	professional	professional	ADJ
ijassa-570	109	28	suitability	suitability	NOUN
ijassa-570	109	29	to	to	ADP
ijassa-570	109	30	the	the	DET
ijassa-570	109	31	identification	identification	NOUN
ijassa-570	109	32	of	of	ADP
ijassa-570	109	33	vectors	vector	NOUN
ijassa-570	109	34	.	.	PUNCT
ijassa-570	110	1	the	the	DET
ijassa-570	110	2	latter	latter	ADJ
ijassa-570	110	3	property	property	NOUN
ijassa-570	110	4	is	be	AUX
ijassa-570	110	5	extremely	extremely	ADV
ijassa-570	110	6	important	important	ADJ
ijassa-570	110	7	,	,	PUNCT
ijassa-570	110	8	since	since	SCONJ
ijassa-570	110	9	the	the	DET
ijassa-570	110	10	procedure	procedure	NOUN
ijassa-570	110	11	of	of	ADP
ijassa-570	110	12	formation	formation	NOUN
ijassa-570	110	13	and	and	CCONJ
ijassa-570	110	14	selection	selection	NOUN
ijassa-570	110	15	of	of	ADP
ijassa-570	110	16	measurable	measurable	ADJ
ijassa-570	110	17	parameters	parameter	NOUN
ijassa-570	110	18	is	be	AUX
ijassa-570	110	19	subjective	subjective	ADJ
ijassa-570	110	20	and	and	CCONJ
ijassa-570	110	21	a	a	DET
ijassa-570	110	22	priori	priori	NOUN
ijassa-570	110	23	does	do	AUX
ijassa-570	110	24	not	not	PART
ijassa-570	110	25	guarantee	guarantee	VERB
ijassa-570	110	26	the	the	DET
ijassa-570	110	27	very	very	ADJ
ijassa-570	110	28	possibility	possibility	NOUN
ijassa-570	110	29	of	of	ADP
ijassa-570	110	30	solving	solve	VERB
ijassa-570	110	31	the	the	DET
ijassa-570	110	32	identified	identify	VERB
ijassa-570	110	33	problem	problem	NOUN
ijassa-570	110	34	.	.	PUNCT
ijassa-570	111	1	reclassification	reclassification	NOUN
ijassa-570	111	2	based	base	VERB
ijassa-570	111	3	on	on	ADP
ijassa-570	111	4	the	the	DET
ijassa-570	111	5	system	system	NOUN
ijassa-570	111	6	is	be	AUX
ijassa-570	111	7	carried	carry	VERB
ijassa-570	111	8	out	out	ADP
ijassa-570	111	9	:	:	PUNCT
ijassa-570	111	10			PROPN
ijassa-570	111	11			PROPN
ijassa-570	111	12	(	(	PUNCT
ijassa-570	111	13	)	)	PUNCT
ijassa-570	111	14	(	(	PUNCT
ijassa-570	111	15	)	)	PUNCT
ijassa-570	111	16	(	(	PUNCT
ijassa-570	111	17	)	)	PUNCT
ijassa-570	111	18	(	(	PUNCT
ijassa-570	111	19	)	)	PUNCT
ijassa-570	111	20	(	(	PUNCT
ijassa-570	111	21	)	)	PUNCT
ijassa-570	111	22	(	(	PUNCT
ijassa-570	111	23	)	)	PUNCT
ijassa-570	111	24			PROPN
ijassa-570	111	25			PROPN
ijassa-570	111	26	(	(	PUNCT
ijassa-570	111	27	)	)	PUNCT
ijassa-570	111	28			PROPN
ijassa-570	111	29			PROPN
ijassa-570	111	30	(	(	PUNCT
ijassa-570	111	31	)	)	PUNCT
ijassa-570	111	32	(	(	PUNCT
ijassa-570	111	33	)	)	PUNCT
ijassa-570	111	34	(	(	PUNCT
ijassa-570	111	35	)	)	PUNCT
ijassa-570	111	36	(	(	PUNCT
ijassa-570	111	37	)	)	PUNCT
ijassa-570	111	38			PROPN
ijassa-570	111	39			PROPN
ijassa-570	111	40	(	(	PUNCT
ijassa-570	111	41	)	)	PUNCT
ijassa-570	111	42			PROPN
ijassa-570	111	43			PROPN
ijassa-570	111	44	(	(	PUNCT
ijassa-570	111	45	)	)	PUNCT
ijassa-570	111	46	(	(	PUNCT
ijassa-570	111	47	)	)	PUNCT
ijassa-570	111	48	(	(	PUNCT
ijassa-570	111	49	)	)	PUNCT
ijassa-570	111	50	(	(	PUNCT
ijassa-570	111	51	)	)	PUNCT
ijassa-570	111	52	(	(	PUNCT
ijassa-570	111	53	)	)	PUNCT
ijassa-570	111	54	(	(	PUNCT
ijassa-570	111	55	)	)	PUNCT
ijassa-570	111	56			PROPN
ijassa-570	111	57			PROPN
ijassa-570	111	58	(	(	PUNCT
ijassa-570	111	59	)	)	PUNCT
ijassa-570	111	60			PROPN
ijassa-570	111	61			PROPN
ijassa-570	111	62	(	(	PUNCT
ijassa-570	111	63	)	)	PUNCT
ijassa-570	111	64	(	(	PUNCT
ijassa-570	111	65	)	)	PUNCT
ijassa-570	111	66	(	(	PUNCT
ijassa-570	111	67	)	)	PUNCT
ijassa-570	112	1	*	*	PUNCT
ijassa-570	112	2	*	*	PUNCT
ijassa-570	112	3	,	,	PUNCT
ijassa-570	112	4	*	*	PUNCT
ijassa-570	112	5	,	,	PUNCT
ijassa-570	112	6	,	,	PUNCT
ijassa-570	112	7	*	*	PUNCT
ijassa-570	112	8	*	*	PUNCT
ijassa-570	113	1	*	*	PUNCT
ijassa-570	113	2	*	*	PUNCT
ijassa-570	113	3	,	,	PUNCT
ijassa-570	113	4	,	,	PUNCT
ijassa-570	113	5	*	*	PUNCT
ijassa-570	113	6	*	*	PUNCT
ijassa-570	114	1	*	*	PUNCT
ijassa-570	114	2	*	*	PUNCT
ijassa-570	114	3	,	,	PUNCT
ijassa-570	114	4	*	*	PUNCT
ijassa-570	114	5	,	,	PUNCT
ijassa-570	114	6	,	,	PUNCT
ijassa-570	114	7	*	*	PUNCT
ijassa-570	114	8	*	*	PUNCT
ijassa-570	115	1	*	*	PUNCT
ijassa-570	116	1	*	*	PUNCT
ijassa-570	116	2	*	*	PUNCT
ijassa-570	116	3	,	,	PUNCT
ijassa-570	116	4	,	,	PUNCT
ijassa-570	116	5	,	,	PUNCT
ijassa-570	116	6	&	&	CCONJ
ijassa-570	116	7	,	,	PUNCT
ijassa-570	116	8	&	&	CCONJ
ijassa-570	116	9	  	  	SPACE
ijassa-570	116	10	,	,	PUNCT
ijassa-570	116	11	;	;	PUNCT
ijassa-570	116	12	(	(	PUNCT
ijassa-570	116	13	,	,	PUNCT
ijassa-570	116	14	,	,	PUNCT
ijassa-570	116	15	&	&	CCONJ
ijassa-570	116	16	,	,	PUNCT
ijassa-570	116	17	;	;	PUNCT
ijassa-570	116	18	   	   	SPACE
ijassa-570	116	19	,	,	PUNCT
ijassa-570	116	20	&	&	CCONJ
ijassa-570	116	21	,	,	PUNCT
ijassa-570	116	22	&	&	CCONJ
ijassa-570	116	23	  	  	SPACE
ijassa-570	116	24	,	,	PUNCT
ijassa-570	116	25	;	;	PUNCT
ijassa-570	116	26	,	,	PUNCT
ijassa-570	116	27	&	&	CCONJ
ijassa-570	116	28	,	,	PUNCT
ijassa-570	116	29	n	n	CCONJ
ijassa-570	116	30	n	n	NOUN
ijassa-570	116	31	i	i	PRON
ijassa-570	116	32	n	n	CCONJ
ijassa-570	116	33	j	j	PROPN
ijassa-570	117	1	n	n	CCONJ
ijassa-570	117	2	j	j	PROPN
ijassa-570	118	1	i	i	PRON
ijassa-570	118	2	ni	ni	PROPN
ijassa-570	118	3	j	j	PROPN
ijassa-570	118	4	n	n	CCONJ
ijassa-570	118	5	n	n	PROPN
ijassa-570	118	6	j	j	PROPN
ijassa-570	118	7	n	n	ADP
ijassa-570	118	8	l	l	PROPN
ijassa-570	118	9	j	j	PROPN
ijassa-570	118	10	ni	ni	PROPN
ijassa-570	118	11	j	j	PROPN
ijassa-570	118	12	n	n	CCONJ
ijassa-570	118	13	n	n	PROPN
ijassa-570	118	14	i	i	PRON
ijassa-570	118	15	n	n	CCONJ
ijassa-570	118	16	j	j	PROPN
ijassa-570	118	17	n	n	ADP
ijassa-570	118	18	l	l	NOUN
ijassa-570	119	1	i	i	PRON
ijassa-570	119	2	mi	mi	PROPN
ijassa-570	119	3	m	m	VERB
ijassa-570	119	4	n	n	PROPN
ijassa-570	119	5	n	n	ADV
ijassa-570	119	6	i	i	PRON
ijassa-570	120	1	n	n	VERB
ijassa-570	120	2	ji	ji	INTJ
ijassa-570	121	1	i	i	PRON
ijassa-570	121	2	v	v	VERB
ijassa-570	121	3	v	v	X
ijassa-570	121	4	k	k	PROPN
ijassa-570	122	1	k	k	PROPN
ijassa-570	122	2	j	j	PROPN
ijassa-570	123	1	k	k	PROPN
ijassa-570	123	2	k	k	PROPN
ijassa-570	124	1	j	j	PROPN
ijassa-570	124	2	k	k	PROPN
ijassa-570	124	3	k	k	PROPN
ijassa-570	124	4	v	v	INTJ
ijassa-570	124	5	v	v	INTJ
ijassa-570	125	1	i	i	PRON
ijassa-570	125	2	v	v	NOUN
ijassa-570	125	3	v	v	X
ijassa-570	126	1	j	j	PROPN
ijassa-570	126	2	k	k	PROPN
ijassa-570	127	1	k	k	PROPN
ijassa-570	127	2	l	l	PUNCT
ijassa-570	128	1	k	k	PROPN
ijassa-570	129	1	k	k	PROPN
ijassa-570	129	2	v	v	INTJ
ijassa-570	129	3	v	v	INTJ
ijassa-570	130	1	i	i	PRON
ijassa-570	130	2	v	v	NOUN
ijassa-570	130	3	v	v	X
ijassa-570	130	4	k	k	PROPN
ijassa-570	131	1	k	k	PROPN
ijassa-570	131	2	j	j	PROPN
ijassa-570	132	1	k	k	PROPN
ijassa-570	132	2	k	k	PROPN
ijassa-570	133	1	l	l	PUNCT
ijassa-570	134	1	k	k	PROPN
ijassa-570	135	1	k	k	PROPN
ijassa-570	135	2	v	v	INTJ
ijassa-570	135	3	v	v	INTJ
ijassa-570	136	1	i	i	PRON
ijassa-570	136	2	v	v	NOUN
ijassa-570	136	3	v	v	X
ijassa-570	137	1	k	k	PROPN
ijassa-570	137	2	k	k	PROPN
ijassa-570	138	1	k	k	PROPN
ijassa-570	138	2	j	j	PROPN
ijassa-570	138	3	k	k	PROPN
ijassa-570	138	4	k	k	PROPN
ijassa-570	138	5			PROPN
ijassa-570	138	6			PROPN
ijassa-570	138	7			PROPN
ijassa-570	138	8			NUM
ijassa-570	138	9			NOUN
ijassa-570	138	10			PROPN
ijassa-570	138	11	→	→	SYM
ijassa-570	138	12			PROPN
ijassa-570	138	13			PROPN
ijassa-570	138	14			NOUN
ijassa-570	138	15			PROPN
ijassa-570	138	16	→	→	SYM
ijassa-570	138	17			PROPN
ijassa-570	138	18			NOUN
ijassa-570	138	19			NOUN
ijassa-570	138	20	→	→	SYM
ijassa-570	138	21			PROPN
ijassa-570	138	22			PROPN
ijassa-570	138	23			NOUN
ijassa-570	138	24			PROPN
ijassa-570	138	25	→	→	SYM
ijassa-570	138	26			PROPN
ijassa-570	138	27			NUM
ijassa-570	138	28			NOUN
ijassa-570	138	29			PROPN
ijassa-570	138	30	→	→	SYM
ijassa-570	138	31			PROPN
ijassa-570	138	32			PROPN
ijassa-570	138	33			NOUN
ijassa-570	138	34			PROPN
ijassa-570	138	35	→	→	SYM
ijassa-570	138	36			PROPN
ijassa-570	138	37			NUM
ijassa-570	138	38			NOUN
ijassa-570	138	39			NUM
ijassa-570	138	40			NOUN
ijassa-570	138	41	→	→	SYM
ijassa-570	138	42			PROPN
ijassa-570	138	43			PROPN
ijassa-570	138	44	(	(	PUNCT
ijassa-570	138	45	)	)	PUNCT
ijassa-570	138	46			PROPN
ijassa-570	138	47			PROPN
ijassa-570	138	48	(	(	PUNCT
ijassa-570	138	49	)	)	PUNCT
ijassa-570	138	50	*	*	PUNCT
ijassa-570	138	51	,	,	PUNCT
ijassa-570	138	52	.m	.m	PROPN
ijassa-570	138	53	m	m	VERB
ijassa-570	138	54	m	m	VERB
ijassa-570	138	55	v	v	ADP
ijassa-570	138	56	v	v	NOUN
ijassa-570	138	57			ADP
ijassa-570	138	58			NUM
ijassa-570	138	59			NUM
ijassa-570	138	60			NUM
ijassa-570	138	61			NUM
ijassa-570	138	62			NUM
ijassa-570	138	63			NUM
ijassa-570	138	64			NUM
ijassa-570	138	65			NUM
ijassa-570	138	66	→	→	SYM
ijassa-570	138	67			NOUN
ijassa-570	138	68			NOUN
ijassa-570	138	69	here	here	ADV
ijassa-570	138	70	:	:	PUNCT
ijassa-570	138	71	n	n	PRON
ijassa-570	138	72	is	be	AUX
ijassa-570	138	73	the	the	DET
ijassa-570	138	74	sequence	sequence	NOUN
ijassa-570	138	75	number	number	NOUN
ijassa-570	138	76	of	of	ADP
ijassa-570	138	77	the	the	DET
ijassa-570	138	78	vector	vector	NOUN
ijassa-570	138	79	,	,	PUNCT
ijassa-570	138	80	{	{	PUNCT
ijassa-570	138	81	v	v	NOUN
ijassa-570	138	82			NOUN
ijassa-570	138	83	}	}	PUNCT
ijassa-570	138	84	is	be	AUX
ijassa-570	138	85	the	the	DET
ijassa-570	138	86	set	set	NOUN
ijassa-570	138	87	of	of	ADP
ijassa-570	138	88	vectors	vector	NOUN
ijassa-570	138	89	of	of	ADP
ijassa-570	138	90	the	the	DET
ijassa-570	138	91	class	class	NOUN
ijassa-570	138	92	(	(	PUNCT
ijassa-570	138	93	the	the	DET
ijassa-570	138	94	class	class	NOUN
ijassa-570	138	95	of	of	ADP
ijassa-570	138	96	the	the	DET
ijassa-570	138	97	vector	vector	NOUN
ijassa-570	138	98	is	be	AUX
ijassa-570	138	99	defined	define	VERB
ijassa-570	138	100	according	accord	VERB
ijassa-570	138	101	to	to	ADP
ijassa-570	138	102	expert	expert	ADJ
ijassa-570	138	103	judgment	judgment	NOUN
ijassa-570	138	104	or	or	CCONJ
ijassa-570	138	105	previous	previous	ADJ
ijassa-570	138	106	reclassification	reclassification	NOUN
ijassa-570	138	107	)	)	PUNCT
ijassa-570	138	108	,	,	PUNCT
ijassa-570	138	109	knj	knj	PROPN
ijassa-570	138	110	is	be	AUX
ijassa-570	138	111	the	the	DET
ijassa-570	138	112	coefficient	coefficient	NOUN
ijassa-570	138	113	of	of	ADP
ijassa-570	138	114	belonging	belong	VERB
ijassa-570	138	115	of	of	ADP
ijassa-570	138	116	n	n	CCONJ
ijassa-570	138	117	-	-	PUNCT
ijassa-570	138	118	the	the	DET
ijassa-570	138	119	vector	vector	NOUN
ijassa-570	138	120	to	to	ADP
ijassa-570	138	121	the	the	DET
ijassa-570	138	122	j	j	PROPN
ijassa-570	138	123	-	-	PROPN
ijassa-570	138	124	the	the	DET
ijassa-570	138	125	class	class	NOUN
ijassa-570	138	126	,	,	PUNCT
ijassa-570	138	127	k	k	NOUN
ijassa-570	138	128	*	*	PUNCT
ijassa-570	138	129	*	*	NOUN
ijassa-570	138	130	,	,	PUNCT
ijassa-570	138	131	k	k	X
ijassa-570	138	132	*	*	X
ijassa-570	138	133	,	,	PUNCT
ijassa-570	138	134	k	k	PROPN
ijassa-570	138	135	*	*	PUNCT
ijassa-570	138	136	*	*	PUNCT
ijassa-570	138	137	,	,	PUNCT
ijassa-570	138	138	k	k	NOUN
ijassa-570	138	139	*	*	PUNCT
ijassa-570	138	140	minimum	minimum	ADJ
ijassa-570	138	141	and	and	CCONJ
ijassa-570	138	142	maximum	maximum	ADJ
ijassa-570	138	143	threshold	threshold	NOUN
ijassa-570	138	144	values	value	NOUN
ijassa-570	138	145	for	for	ADP
ijassa-570	138	146	pertaining	pertain	VERB
ijassa-570	138	147	coefficients	coefficient	NOUN
ijassa-570	138	148	.	.	PUNCT
ijassa-570	139	1	the	the	DET
ijassa-570	139	2	region	region	NOUN
ijassa-570	139	3	of	of	ADP
ijassa-570	139	4	values	value	NOUN
ijassa-570	139	5	below	below	ADP
ijassa-570	139	6	of	of	ADP
ijassa-570	139	7	k	k	PROPN
ijassa-570	139	8	*	*	PUNCT
ijassa-570	139	9	(	(	PUNCT
ijassa-570	139	10	k	k	X
ijassa-570	139	11	*	*	PUNCT
ijassa-570	139	12	*	*	NOUN
ijassa-570	139	13	)	)	PUNCT
ijassa-570	139	14	corresponds	correspond	VERB
ijassa-570	139	15	to	to	ADP
ijassa-570	139	16	the	the	DET
ijassa-570	139	17	absence	absence	NOUN
ijassa-570	139	18	of	of	ADP
ijassa-570	139	19	the	the	DET
ijassa-570	139	20	expressed	express	VERB
ijassa-570	139	21	signs	sign	NOUN
ijassa-570	139	22	of	of	ADP
ijassa-570	139	23	a	a	DET
ijassa-570	139	24	specific	specific	ADJ
ijassa-570	139	25	class	class	NOUN
ijassa-570	139	26	and	and	CCONJ
ijassa-570	139	27	region	region	NOUN
ijassa-570	139	28	of	of	ADP
ijassa-570	139	29	values	value	NOUN
ijassa-570	139	30	above	above	ADP
ijassa-570	139	31	of	of	ADP
ijassa-570	139	32	k	k	PROPN
ijassa-570	139	33	*	*	PUNCT
ijassa-570	139	34	(	(	PUNCT
ijassa-570	139	35	k	k	X
ijassa-570	139	36	*	*	NOUN
ijassa-570	139	37	*	*	NOUN
ijassa-570	139	38	)	)	PUNCT
ijassa-570	139	39	–	–	PUNCT
ijassa-570	139	40	to	to	ADP
ijassa-570	139	41	the	the	DET
ijassa-570	139	42	explicit	explicit	ADJ
ijassa-570	139	43	existence	existence	NOUN
ijassa-570	139	44	of	of	ADP
ijassa-570	139	45	signs	sign	NOUN
ijassa-570	139	46	of	of	ADP
ijassa-570	139	47	a	a	DET
ijassa-570	139	48	class	class	NOUN
ijassa-570	139	49	.	.	PUNCT
ijassa-570	140	1	values	value	NOUN
ijassa-570	140	2	with	with	ADP
ijassa-570	140	3	one	one	NUM
ijassa-570	140	4	"	"	PUNCT
ijassa-570	140	5	star	star	NOUN
ijassa-570	140	6	"	"	PUNCT
ijassa-570	140	7	index	index	NOUN
ijassa-570	140	8	are	be	AUX
ijassa-570	140	9	used	use	VERB
ijassa-570	140	10	in	in	ADP
ijassa-570	140	11	the	the	DET
ijassa-570	140	12	analysis	analysis	NOUN
ijassa-570	140	13	of	of	ADP
ijassa-570	140	14	a	a	DET
ijassa-570	140	15	level	level	NOUN
ijassa-570	140	16	of	of	ADP
ijassa-570	140	17	belonging	belong	VERB
ijassa-570	140	18	to	to	ADP
ijassa-570	140	19	the	the	DET
ijassa-570	140	20	class	class	NOUN
ijassa-570	140	21	(	(	PUNCT
ijassa-570	140	22	at	at	ADP
ijassa-570	140	23	the	the	DET
ijassa-570	140	24	moment	moment	NOUN
ijassa-570	140	25	)	)	PUNCT
ijassa-570	140	26	,	,	PUNCT
ijassa-570	140	27	106	106	NUM
ijassa-570	140	28	v.	v.	ADP
ijassa-570	140	29	guchuk	guchuk	NOUN
ijassa-570	140	30	copyright	copyright	NOUN
ijassa-570	140	31	©	©	PROPN
ijassa-570	140	32	2018	2018	NUM
ijassa-570	140	33	assa	assa	NOUN
ijassa-570	140	34	.	.	PUNCT
ijassa-570	141	1	adv	adv	PROPN
ijassa-570	141	2	.	.	PUNCT
ijassa-570	142	1	in	in	ADP
ijassa-570	142	2	systems	system	NOUN
ijassa-570	142	3	science	science	NOUN
ijassa-570	142	4	and	and	CCONJ
ijassa-570	142	5	appl	appl	NOUN
ijassa-570	142	6	.	.	PUNCT
ijassa-570	143	1	(	(	PUNCT
ijassa-570	143	2	2018	2018	NUM
ijassa-570	143	3	)	)	PUNCT
ijassa-570	143	4	otherwise	otherwise	ADV
ijassa-570	143	5	the	the	DET
ijassa-570	143	6	other	other	ADJ
ijassa-570	143	7	threshold	threshold	NOUN
ijassa-570	143	8	value	value	NOUN
ijassa-570	143	9	is	be	AUX
ijassa-570	143	10	used	use	VERB
ijassa-570	143	11	.	.	PUNCT
ijassa-570	144	1	after	after	ADP
ijassa-570	144	2	carrying	carry	VERB
ijassa-570	144	3	out	out	ADP
ijassa-570	144	4	several	several	ADJ
ijassa-570	144	5	iterations	iteration	NOUN
ijassa-570	144	6	on	on	ADP
ijassa-570	144	7	objectifying	objectify	VERB
ijassa-570	144	8	some	some	DET
ijassa-570	144	9	sets	set	NOUN
ijassa-570	144	10	can	can	AUX
ijassa-570	144	11	be	be	AUX
ijassa-570	144	12	divided	divide	VERB
ijassa-570	144	13	into	into	ADP
ijassa-570	144	14	two	two	NUM
ijassa-570	144	15	or	or	CCONJ
ijassa-570	144	16	more	more	ADJ
ijassa-570	144	17	subsets	subset	NOUN
ijassa-570	144	18	,	,	PUNCT
ijassa-570	144	19	others	other	NOUN
ijassa-570	144	20	,	,	PUNCT
ijassa-570	144	21	on	on	ADP
ijassa-570	144	22	the	the	DET
ijassa-570	144	23	contrary	contrary	NOUN
ijassa-570	144	24	,	,	PUNCT
ijassa-570	144	25	can	can	AUX
ijassa-570	144	26	even	even	ADV
ijassa-570	144	27	increase	increase	VERB
ijassa-570	144	28	the	the	DET
ijassa-570	144	29	dimensionality	dimensionality	NOUN
ijassa-570	144	30	.	.	PUNCT
ijassa-570	145	1	the	the	DET
ijassa-570	145	2	first	first	ADJ
ijassa-570	145	3	option	option	NOUN
ijassa-570	145	4	suggests	suggest	VERB
ijassa-570	145	5	an	an	DET
ijassa-570	145	6	idea	idea	NOUN
ijassa-570	145	7	of	of	ADP
ijassa-570	145	8	multi	multi	ADJ
ijassa-570	145	9	-	-	ADJ
ijassa-570	145	10	label	label	ADJ
ijassa-570	145	11	classification	classification	NOUN
ijassa-570	145	12	,	,	PUNCT
ijassa-570	145	13	known	know	VERB
ijassa-570	145	14	in	in	ADP
ijassa-570	145	15	slightly	slightly	ADV
ijassa-570	145	16	other	other	ADJ
ijassa-570	145	17	sphere	sphere	NOUN
ijassa-570	145	18	,	,	PUNCT
ijassa-570	145	19	in	in	ADP
ijassa-570	145	20	which	which	PRON
ijassa-570	145	21	the	the	DET
ijassa-570	145	22	classified	classified	ADJ
ijassa-570	145	23	object	object	NOUN
ijassa-570	145	24	can	can	AUX
ijassa-570	145	25	belong	belong	VERB
ijassa-570	145	26	to	to	ADP
ijassa-570	145	27	several	several	ADJ
ijassa-570	145	28	classes	class	NOUN
ijassa-570	145	29	at	at	ADP
ijassa-570	145	30	the	the	DET
ijassa-570	145	31	same	same	ADJ
ijassa-570	145	32	time	time	NOUN
ijassa-570	145	33	,	,	PUNCT
ijassa-570	145	34	and	and	CCONJ
ijassa-570	145	35	classes	class	NOUN
ijassa-570	145	36	are	be	AUX
ijassa-570	145	37	not	not	PART
ijassa-570	145	38	mutually	mutually	ADV
ijassa-570	145	39	exclusive	exclusive	ADJ
ijassa-570	145	40	(	(	PUNCT
ijassa-570	145	41	perhaps	perhaps	ADV
ijassa-570	145	42	,	,	PUNCT
ijassa-570	145	43	even	even	ADV
ijassa-570	145	44	enclosed	enclose	VERB
ijassa-570	145	45	)	)	PUNCT
ijassa-570	145	46	.	.	PUNCT
ijassa-570	146	1	tasks	task	NOUN
ijassa-570	146	2	of	of	ADP
ijassa-570	146	3	this	this	DET
ijassa-570	146	4	kind	kind	NOUN
ijassa-570	146	5	,	,	PUNCT
ijassa-570	146	6	for	for	ADP
ijassa-570	146	7	example	example	NOUN
ijassa-570	146	8	,	,	PUNCT
ijassa-570	146	9	are	be	AUX
ijassa-570	146	10	characteristic	characteristic	ADJ
ijassa-570	146	11	for	for	ADP
ijassa-570	146	12	the	the	DET
ijassa-570	146	13	analysis	analysis	NOUN
ijassa-570	146	14	of	of	ADP
ijassa-570	146	15	images	image	NOUN
ijassa-570	146	16	.	.	PUNCT
ijassa-570	147	1	the	the	DET
ijassa-570	147	2	second	second	ADJ
ijassa-570	147	3	option	option	NOUN
ijassa-570	147	4	potentially	potentially	ADV
ijassa-570	147	5	corresponds	correspond	VERB
ijassa-570	147	6	to	to	ADP
ijassa-570	147	7	a	a	DET
ijassa-570	147	8	case	case	NOUN
ijassa-570	147	9	of	of	ADP
ijassa-570	147	10	execution	execution	NOUN
ijassa-570	147	11	of	of	ADP
ijassa-570	147	12	a	a	DET
ijassa-570	147	13	hypothesis	hypothesis	NOUN
ijassa-570	147	14	of	of	ADP
ijassa-570	147	15	compactness	compactness	NOUN
ijassa-570	147	16	.	.	PUNCT
ijassa-570	148	1	in	in	ADP
ijassa-570	148	2	this	this	DET
ijassa-570	148	3	case	case	NOUN
ijassa-570	148	4	the	the	DET
ijassa-570	148	5	identifiability	identifiability	NOUN
ijassa-570	148	6	level	level	NOUN
ijassa-570	148	7	of	of	ADP
ijassa-570	148	8	(	(	PUNCT
ijassa-570	148	9	a	a	DET
ijassa-570	148	10	share	share	NOUN
ijassa-570	148	11	of	of	ADP
ijassa-570	148	12	truly	truly	ADV
ijassa-570	148	13	identified	identify	VERB
ijassa-570	148	14	objects	object	NOUN
ijassa-570	148	15	at	at	ADP
ijassa-570	148	16	examination	examination	NOUN
ijassa-570	148	17	)	)	PUNCT
ijassa-570	148	18	as	as	ADP
ijassa-570	148	19	a	a	DET
ijassa-570	148	20	result	result	NOUN
ijassa-570	148	21	of	of	ADP
ijassa-570	148	22	objectifying	objectifying	NOUN
ijassa-570	148	23	can	can	AUX
ijassa-570	148	24	increase	increase	VERB
ijassa-570	148	25	by	by	ADP
ijassa-570	148	26	20–30	20–30	NUM
ijassa-570	148	27	%	%	NOUN
ijassa-570	148	28	.	.	PUNCT
ijassa-570	149	1	the	the	DET
ijassa-570	149	2	also	also	ADV
ijassa-570	149	3	possible	possible	ADJ
ijassa-570	149	4	to	to	ADP
ijassa-570	149	5	assimilation	assimilation	NOUN
ijassa-570	149	6	of	of	ADP
ijassa-570	149	7	some	some	DET
ijassa-570	149	8	set	set	NOUN
ijassa-570	149	9	(	(	PUNCT
ijassa-570	149	10	the	the	DET
ijassa-570	149	11	degeneration	degeneration	NOUN
ijassa-570	149	12	of	of	ADP
ijassa-570	149	13	a	a	DET
ijassa-570	149	14	set	set	NOUN
ijassa-570	149	15	)	)	PUNCT
ijassa-570	149	16	.	.	PUNCT
ijassa-570	150	1	application	application	NOUN
ijassa-570	150	2	of	of	ADP
ijassa-570	150	3	the	the	DET
ijassa-570	150	4	described	describe	VERB
ijassa-570	150	5	procedure	procedure	NOUN
ijassa-570	150	6	of	of	ADP
ijassa-570	150	7	objectifying	objectifying	NOUN
ijassa-570	150	8	can	can	AUX
ijassa-570	150	9	not	not	PART
ijassa-570	150	10	only	only	ADV
ijassa-570	150	11	correct	correct	VERB
ijassa-570	150	12	composition	composition	NOUN
ijassa-570	150	13	of	of	ADP
ijassa-570	150	14	a	a	DET
ijassa-570	150	15	set	set	NOUN
ijassa-570	150	16	,	,	PUNCT
ijassa-570	150	17	but	but	CCONJ
ijassa-570	150	18	expand	expand	VERB
ijassa-570	150	19	it	it	PRON
ijassa-570	150	20	.	.	PUNCT
ijassa-570	151	1	another	another	DET
ijassa-570	151	2	important	important	ADJ
ijassa-570	151	3	characteristic	characteristic	NOUN
ijassa-570	151	4	for	for	ADP
ijassa-570	151	5	objectifying	objectifying	ADJ
ijassa-570	151	6	is	be	AUX
ijassa-570	151	7	the	the	DET
ijassa-570	151	8	presence	presence	NOUN
ijassa-570	151	9	and	and	CCONJ
ijassa-570	151	10	minimization	minimization	NOUN
ijassa-570	151	11	of	of	ADP
ijassa-570	151	12	identification	identification	NOUN
ijassa-570	151	13	errors	error	NOUN
ijassa-570	151	14	of	of	ADP
ijassa-570	151	15	the	the	DET
ijassa-570	151	16	second	second	ADJ
ijassa-570	151	17	kind	kind	NOUN
ijassa-570	151	18	[	[	X
ijassa-570	151	19	6	6	NUM
ijassa-570	151	20	]	]	PUNCT
ijassa-570	151	21	.	.	PUNCT
ijassa-570	152	1	or	or	CCONJ
ijassa-570	152	2	the	the	DET
ijassa-570	152	3	expert	expert	NOUN
ijassa-570	152	4	treats	treat	VERB
ijassa-570	152	5	the	the	DET
ijassa-570	152	6	object	object	NOUN
ijassa-570	152	7	not	not	PART
ijassa-570	152	8	to	to	ADP
ijassa-570	152	9	his	his	PRON
ijassa-570	152	10	class	class	NOUN
ijassa-570	152	11	,	,	PUNCT
ijassa-570	152	12	or	or	CCONJ
ijassa-570	152	13	the	the	DET
ijassa-570	152	14	algorithm	algorithm	NOUN
ijassa-570	152	15	assigns	assign	VERB
ijassa-570	152	16	the	the	DET
ijassa-570	152	17	object	object	NOUN
ijassa-570	152	18	to	to	ADP
ijassa-570	152	19	one	one	NUM
ijassa-570	152	20	class	class	NOUN
ijassa-570	152	21	,	,	PUNCT
ijassa-570	152	22	and	and	CCONJ
ijassa-570	152	23	further	further	ADJ
ijassa-570	152	24	parametric	parametric	ADJ
ijassa-570	152	25	analysis	analysis	NOUN
ijassa-570	152	26	identifies	identify	VERB
ijassa-570	152	27	it	it	PRON
ijassa-570	152	28	as	as	ADP
ijassa-570	152	29	belonging	belong	VERB
ijassa-570	152	30	to	to	ADP
ijassa-570	152	31	another	another	DET
ijassa-570	152	32	class	class	NOUN
ijassa-570	152	33	.	.	PUNCT
ijassa-570	153	1	the	the	DET
ijassa-570	153	2	coefficient	coefficient	NOUN
ijassa-570	153	3	"	"	PUNCT
ijassa-570	153	4	njk	njk	NOUN
ijassa-570	153	5	of	of	ADP
ijassa-570	153	6	belonging	belong	VERB
ijassa-570	153	7	of	of	ADP
ijassa-570	153	8	the	the	DET
ijassa-570	153	9	n	n	NOUN
ijassa-570	153	10	-	-	PUNCT
ijassa-570	153	11	the	the	DET
ijassa-570	153	12	vector	vector	NOUN
ijassa-570	153	13	to	to	ADP
ijassa-570	153	14	the	the	DET
ijassa-570	153	15	j	j	PROPN
ijassa-570	153	16	-	-	PROPN
ijassa-570	153	17	the	the	DET
ijassa-570	153	18	class	class	NOUN
ijassa-570	153	19	,	,	PUNCT
ijassa-570	153	20	previously	previously	ADV
ijassa-570	153	21	attributed	attribute	VERB
ijassa-570	153	22	by	by	ADP
ijassa-570	153	23	the	the	DET
ijassa-570	153	24	expert	expert	NOUN
ijassa-570	153	25	or	or	CCONJ
ijassa-570	153	26	algorithm	algorithm	NOUN
ijassa-570	153	27	to	to	ADP
ijassa-570	153	28	other	other	ADJ
ijassa-570	153	29	classes	class	NOUN
ijassa-570	153	30	,	,	PUNCT
ijassa-570	153	31	will	will	AUX
ijassa-570	153	32	be	be	AUX
ijassa-570	153	33	called	call	VERB
ijassa-570	153	34	the	the	DET
ijassa-570	153	35	penetration	penetration	NOUN
ijassa-570	153	36	coefficient	coefficient	NOUN
ijassa-570	153	37	.	.	PUNCT
ijassa-570	154	1	in	in	ADP
ijassa-570	154	2	addition	addition	NOUN
ijassa-570	154	3	to	to	ADP
ijassa-570	154	4	the	the	DET
ijassa-570	154	5	composition	composition	NOUN
ijassa-570	154	6	of	of	ADP
ijassa-570	154	7	the	the	DET
ijassa-570	154	8	selection	selection	NOUN
ijassa-570	154	9	,	,	PUNCT
ijassa-570	154	10	the	the	DET
ijassa-570	154	11	validity	validity	NOUN
ijassa-570	154	12	of	of	ADP
ijassa-570	154	13	the	the	DET
ijassa-570	154	14	measured	measured	ADJ
ijassa-570	154	15	parameters	parameter	NOUN
ijassa-570	154	16	,	,	PUNCT
ijassa-570	154	17	etc	etc	X
ijassa-570	154	18	.	.	X
ijassa-570	154	19	,	,	PUNCT
ijassa-570	154	20	the	the	DET
ijassa-570	154	21	choice	choice	NOUN
ijassa-570	154	22	of	of	ADP
ijassa-570	154	23	an	an	DET
ijassa-570	154	24	algorithm	algorithm	NOUN
ijassa-570	154	25	of	of	ADP
ijassa-570	154	26	identification	identification	NOUN
ijassa-570	154	27	(	(	PUNCT
ijassa-570	154	28	recognition	recognition	NOUN
ijassa-570	154	29	)	)	PUNCT
ijassa-570	154	30	as	as	ADV
ijassa-570	154	31	well	well	ADV
ijassa-570	154	32	influences	influence	VERB
ijassa-570	154	33	an	an	DET
ijassa-570	154	34	error	error	NOUN
ijassa-570	154	35	amount	amount	NOUN
ijassa-570	154	36	of	of	ADP
ijassa-570	154	37	identification	identification	NOUN
ijassa-570	154	38	.	.	PUNCT
ijassa-570	155	1	as	as	SCONJ
ijassa-570	155	2	the	the	DET
ijassa-570	155	3	practice	practice	NOUN
ijassa-570	155	4	of	of	ADP
ijassa-570	155	5	working	work	VERB
ijassa-570	155	6	with	with	ADP
ijassa-570	155	7	several	several	ADJ
ijassa-570	155	8	algorithms	algorithm	NOUN
ijassa-570	155	9	has	have	AUX
ijassa-570	155	10	shown	show	VERB
ijassa-570	155	11	,	,	PUNCT
ijassa-570	155	12	the	the	DET
ijassa-570	155	13	algorithm	algorithm	NOUN
ijassa-570	155	14	of	of	ADP
ijassa-570	155	15	the	the	DET
ijassa-570	155	16	method	method	NOUN
ijassa-570	155	17	of	of	ADP
ijassa-570	155	18	potential	potential	ADJ
ijassa-570	155	19	functions	function	NOUN
ijassa-570	155	20	(	(	PUNCT
ijassa-570	155	21	mpf	mpf	PROPN
ijassa-570	155	22	)	)	PUNCT
ijassa-570	155	23	has	have	AUX
ijassa-570	155	24	proved	prove	VERB
ijassa-570	155	25	to	to	PART
ijassa-570	155	26	be	be	AUX
ijassa-570	155	27	the	the	DET
ijassa-570	155	28	most	most	ADV
ijassa-570	155	29	unpretentious	unpretentious	ADJ
ijassa-570	155	30	with	with	ADP
ijassa-570	155	31	respect	respect	NOUN
ijassa-570	155	32	to	to	ADP
ijassa-570	155	33	the	the	DET
ijassa-570	155	34	choice	choice	NOUN
ijassa-570	155	35	of	of	ADP
ijassa-570	155	36	parameters	parameter	NOUN
ijassa-570	155	37	used	use	VERB
ijassa-570	155	38	for	for	ADP
ijassa-570	155	39	training	training	NOUN
ijassa-570	155	40	in	in	ADP
ijassa-570	155	41	rs	rs	NOUN
ijassa-570	155	42	and	and	CCONJ
ijassa-570	155	43	identification	identification	NOUN
ijassa-570	155	44	on	on	ADP
ijassa-570	155	45	ts	ts	ADP
ijassa-570	155	46	.	.	PUNCT
ijassa-570	156	1	it	it	PRON
ijassa-570	156	2	showed	show	VERB
ijassa-570	156	3	the	the	DET
ijassa-570	156	4	minimum	minimum	ADJ
ijassa-570	156	5	errors	error	NOUN
ijassa-570	156	6	of	of	ADP
ijassa-570	156	7	identification	identification	NOUN
ijassa-570	156	8	of	of	ADP
ijassa-570	156	9	the	the	DET
ijassa-570	156	10	first	first	ADJ
ijassa-570	156	11	kind	kind	NOUN
ijassa-570	156	12	.	.	PUNCT
ijassa-570	157	1	only	only	ADV
ijassa-570	157	2	on	on	ADP
ijassa-570	157	3	minimization	minimization	NOUN
ijassa-570	157	4	of	of	ADP
ijassa-570	157	5	errors	error	NOUN
ijassa-570	157	6	of	of	ADP
ijassa-570	157	7	the	the	DET
ijassa-570	157	8	second	second	ADJ
ijassa-570	157	9	kind	kind	NOUN
ijassa-570	157	10	the	the	DET
ijassa-570	157	11	algorithm	algorithm	NOUN
ijassa-570	157	12	of	of	ADP
ijassa-570	157	13	an	an	DET
ijassa-570	157	14	mpf	mpf	PROPN
ijassa-570	157	15	has	have	VERB
ijassa-570	157	16	no	no	DET
ijassa-570	157	17	advantages	advantage	NOUN
ijassa-570	157	18	over	over	ADP
ijassa-570	157	19	the	the	DET
ijassa-570	157	20	other	other	ADJ
ijassa-570	157	21	used	use	VERB
ijassa-570	157	22	algorithms	algorithm	NOUN
ijassa-570	157	23	.	.	PUNCT
ijassa-570	158	1	another	another	PRON
ijassa-570	158	2	its	its	PRON
ijassa-570	158	3	feature	feature	NOUN
ijassa-570	158	4	is	be	AUX
ijassa-570	158	5	a	a	DET
ijassa-570	158	6	need	need	NOUN
ijassa-570	158	7	of	of	ADP
ijassa-570	158	8	a	a	DET
ijassa-570	158	9	large	large	ADJ
ijassa-570	158	10	number	number	NOUN
ijassa-570	158	11	of	of	ADP
ijassa-570	158	12	computations	computation	NOUN
ijassa-570	158	13	that	that	PRON
ijassa-570	158	14	is	be	AUX
ijassa-570	158	15	n't	not	PART
ijassa-570	158	16	an	an	DET
ijassa-570	158	17	essential	essential	ADJ
ijassa-570	158	18	shortcoming	shortcoming	NOUN
ijassa-570	158	19	,	,	PUNCT
ijassa-570	158	20	considering	consider	VERB
ijassa-570	158	21	high	high	ADJ
ijassa-570	158	22	-	-	PUNCT
ijassa-570	158	23	speed	speed	NOUN
ijassa-570	158	24	performance	performance	NOUN
ijassa-570	158	25	of	of	ADP
ijassa-570	158	26	the	the	DET
ijassa-570	158	27	modern	modern	ADJ
ijassa-570	158	28	computers	computer	NOUN
ijassa-570	158	29	.	.	PUNCT
ijassa-570	159	1	the	the	DET
ijassa-570	159	2	optimum	optimum	ADJ
ijassa-570	159	3	length	length	NOUN
ijassa-570	159	4	of	of	ADP
ijassa-570	159	5	a	a	DET
ijassa-570	159	6	tuple	tuple	NOUN
ijassa-570	159	7	of	of	ADP
ijassa-570	159	8	the	the	DET
ijassa-570	159	9	parameters	parameter	NOUN
ijassa-570	159	10	used	use	VERB
ijassa-570	159	11	for	for	ADP
ijassa-570	159	12	identification	identification	NOUN
ijassa-570	159	13	was	be	AUX
ijassa-570	159	14	rather	rather	ADV
ijassa-570	159	15	general	general	ADJ
ijassa-570	159	16	for	for	ADP
ijassa-570	159	17	different	different	ADJ
ijassa-570	159	18	algorithms	algorithm	NOUN
ijassa-570	159	19	.	.	PUNCT
ijassa-570	160	1	the	the	DET
ijassa-570	160	2	main	main	ADJ
ijassa-570	160	3	result	result	NOUN
ijassa-570	160	4	of	of	ADP
ijassa-570	160	5	the	the	DET
ijassa-570	160	6	application	application	NOUN
ijassa-570	160	7	of	of	ADP
ijassa-570	160	8	objectifying	objectifying	NOUN
ijassa-570	160	9	was	be	AUX
ijassa-570	160	10	manifested	manifest	VERB
ijassa-570	160	11	in	in	ADP
ijassa-570	160	12	the	the	DET
ijassa-570	160	13	increase	increase	NOUN
ijassa-570	160	14	in	in	ADP
ijassa-570	160	15	the	the	DET
ijassa-570	160	16	degree	degree	NOUN
ijassa-570	160	17	of	of	ADP
ijassa-570	160	18	identifiability	identifiability	NOUN
ijassa-570	160	19	(	(	PUNCT
ijassa-570	160	20	improvement	improvement	NOUN
ijassa-570	160	21	can	can	AUX
ijassa-570	160	22	reach	reach	VERB
ijassa-570	160	23	10	10	NUM
ijassa-570	160	24	-	-	SYM
ijassa-570	160	25	20	20	NUM
ijassa-570	160	26	%	%	NOUN
ijassa-570	160	27	)	)	PUNCT
ijassa-570	160	28	.	.	PUNCT
ijassa-570	161	1	when	when	SCONJ
ijassa-570	161	2	counted	count	VERB
ijassa-570	161	3	the	the	DET
ijassa-570	161	4	level	level	NOUN
ijassa-570	161	5	of	of	ADP
ijassa-570	161	6	identifiability	identifiability	NOUN
ijassa-570	161	7	values	value	NOUN
ijassa-570	161	8	of	of	ADP
ijassa-570	161	9	errors	error	NOUN
ijassa-570	161	10	of	of	ADP
ijassa-570	161	11	identification	identification	NOUN
ijassa-570	161	12	of	of	ADP
ijassa-570	161	13	the	the	DET
ijassa-570	161	14	first	first	ADJ
ijassa-570	161	15	and	and	CCONJ
ijassa-570	161	16	second	second	ADJ
ijassa-570	161	17	kind	kind	NOUN
ijassa-570	161	18	were	be	AUX
ijassa-570	161	19	accounted	account	VERB
ijassa-570	161	20	.	.	PUNCT
ijassa-570	162	1	the	the	DET
ijassa-570	162	2	higher	high	ADJ
ijassa-570	162	3	level	level	NOUN
ijassa-570	162	4	be	be	AUX
ijassa-570	162	5	reached	reach	VERB
ijassa-570	162	6	in	in	ADP
ijassa-570	162	7	some	some	DET
ijassa-570	162	8	cases	case	NOUN
ijassa-570	162	9	and	and	CCONJ
ijassa-570	162	10	an	an	DET
ijassa-570	162	11	identification	identification	NOUN
ijassa-570	162	12	algorithm	algorithm	NOUN
ijassa-570	162	13	choice	choice	NOUN
ijassa-570	162	14	(	(	PUNCT
ijassa-570	162	15	a	a	DET
ijassa-570	162	16	recognition	recognition	NOUN
ijassa-570	162	17	algorithm	algorithm	NOUN
ijassa-570	162	18	)	)	PUNCT
ijassa-570	162	19	has	have	VERB
ijassa-570	162	20	no	no	DET
ijassa-570	162	21	basic	basic	ADJ
ijassa-570	162	22	value	value	NOUN
ijassa-570	162	23	.	.	PUNCT
ijassa-570	163	1	the	the	DET
ijassa-570	163	2	effect	effect	NOUN
ijassa-570	163	3	of	of	ADP
ijassa-570	163	4	applying	apply	VERB
ijassa-570	163	5	the	the	DET
ijassa-570	163	6	procedure	procedure	NOUN
ijassa-570	163	7	of	of	ADP
ijassa-570	163	8	objectifying	objectifying	ADJ
ijassa-570	163	9	is	be	AUX
ijassa-570	163	10	illustrated	illustrate	VERB
ijassa-570	163	11	in	in	ADP
ijassa-570	163	12	fig	fig	NOUN
ijassa-570	163	13	.	.	PUNCT
ijassa-570	164	1	3	3	X
ijassa-570	164	2	.	.	X
ijassa-570	165	1	the	the	DET
ijassa-570	165	2	dashed	dash	VERB
ijassa-570	165	3	line	line	NOUN
ijassa-570	165	4	shows	show	VERB
ijassa-570	165	5	the	the	DET
ijassa-570	165	6	dependence	dependence	NOUN
ijassa-570	165	7	of	of	ADP
ijassa-570	165	8	the	the	DET
ijassa-570	165	9	membership	membership	NOUN
ijassa-570	165	10	coefficient	coefficient	NOUN
ijassa-570	165	11	on	on	ADP
ijassa-570	165	12	the	the	DET
ijassa-570	165	13	vector	vector	NOUN
ijassa-570	165	14	number	number	NOUN
ijassa-570	165	15	(	(	PUNCT
ijassa-570	165	16	in	in	ADP
ijassa-570	165	17	the	the	DET
ijassa-570	165	18	sequence	sequence	NOUN
ijassa-570	165	19	ranged	range	VERB
ijassa-570	165	20	by	by	ADP
ijassa-570	165	21	results	result	NOUN
ijassa-570	165	22	of	of	ADP
ijassa-570	165	23	expert	expert	NOUN
ijassa-570	165	24	estimation	estimation	NOUN
ijassa-570	165	25	)	)	PUNCT
ijassa-570	166	1	[	[	X
ijassa-570	166	2	2	2	NUM
ijassa-570	166	3	]	]	PUNCT
ijassa-570	166	4	.	.	PUNCT
ijassa-570	167	1	the	the	DET
ijassa-570	167	2	solid	solid	ADJ
ijassa-570	167	3	line	line	NOUN
ijassa-570	167	4	reflects	reflect	VERB
ijassa-570	167	5	the	the	DET
ijassa-570	167	6	results	result	NOUN
ijassa-570	167	7	of	of	ADP
ijassa-570	167	8	objectifying	objectifying	ADJ
ijassa-570	167	9	.	.	PUNCT
ijassa-570	168	1	fig	fig	NOUN
ijassa-570	168	2	.	.	PUNCT
ijassa-570	169	1	3	3	X
ijassa-570	169	2	.	.	X
ijassa-570	170	1	the	the	DET
ijassa-570	170	2	dependence	dependence	NOUN
ijassa-570	170	3	of	of	ADP
ijassa-570	170	4	the	the	DET
ijassa-570	170	5	in	in	ADP
ijassa-570	170	6	cluster	cluster	NOUN
ijassa-570	170	7	membership	membership	NOUN
ijassa-570	170	8	coefficient	coefficient	NOUN
ijassa-570	170	9	in	in	ADP
ijassa-570	170	10	the	the	DET
ijassa-570	170	11	number	number	NOUN
ijassa-570	170	12	of	of	ADP
ijassa-570	170	13	the	the	DET
ijassa-570	170	14	vector	vector	NOUN
ijassa-570	170	15	in	in	ADP
ijassa-570	170	16	the	the	DET
ijassa-570	170	17	ranked	rank	VERB
ijassa-570	170	18	sequence	sequence	NOUN
ijassa-570	170	19	up	up	ADP
ijassa-570	170	20	to	to	ADP
ijassa-570	170	21	(	(	PUNCT
ijassa-570	170	22	dashed	dash	VERB
ijassa-570	170	23	line	line	NOUN
ijassa-570	170	24	)	)	PUNCT
ijassa-570	170	25	and	and	CCONJ
ijassa-570	170	26	after	after	ADP
ijassa-570	170	27	(	(	PUNCT
ijassa-570	170	28	solid	solid	ADJ
ijassa-570	170	29	line	line	NOUN
ijassa-570	170	30	)	)	PUNCT
ijassa-570	170	31	objectifying	objectify	VERB
ijassa-570	170	32	this	this	DET
ijassa-570	170	33	example	example	NOUN
ijassa-570	170	34	shows	show	VERB
ijassa-570	170	35	a	a	DET
ijassa-570	170	36	case	case	NOUN
ijassa-570	170	37	when	when	SCONJ
ijassa-570	170	38	the	the	DET
ijassa-570	170	39	procedure	procedure	NOUN
ijassa-570	170	40	of	of	ADP
ijassa-570	170	41	objectifying	objectifying	ADJ
ijassa-570	170	42	not	not	PART
ijassa-570	170	43	only	only	ADV
ijassa-570	170	44	adjusts	adjust	VERB
ijassa-570	170	45	composition	composition	NOUN
ijassa-570	170	46	of	of	ADP
ijassa-570	170	47	a	a	DET
ijassa-570	170	48	set	set	NOUN
ijassa-570	170	49	,	,	PUNCT
ijassa-570	170	50	but	but	CCONJ
ijassa-570	170	51	also	also	ADV
ijassa-570	170	52	expands	expand	VERB
ijassa-570	170	53	it	it	PRON
ijassa-570	170	54	.	.	PUNCT
ijassa-570	171	1	in	in	ADP
ijassa-570	171	2	fig	fig	NOUN
ijassa-570	171	3	.	.	PUNCT
ijassa-570	172	1	4	4	NUM
ijassa-570	172	2	dependence	dependence	NOUN
ijassa-570	172	3	of	of	ADP
ijassa-570	172	4	the	the	DET
ijassa-570	172	5	coefficient	coefficient	NOUN
ijassa-570	172	6	of	of	ADP
ijassa-570	172	7	the	the	DET
ijassa-570	172	8	identifiability	identifiability	NOUN
ijassa-570	172	9	kid	kid	NOUN
ijassa-570	172	10	from	from	ADP
ijassa-570	172	11	number	number	NOUN
ijassa-570	172	12	of	of	ADP
ijassa-570	172	13	the	the	DET
ijassa-570	172	14	used	use	VERB
ijassa-570	172	15	parameters	parameter	NOUN
ijassa-570	172	16	m	m	AUX
ijassa-570	172	17	to	to	ADP
ijassa-570	172	18	(	(	PUNCT
ijassa-570	172	19	dashed	dash	VERB
ijassa-570	172	20	line	line	NOUN
ijassa-570	172	21	)	)	PUNCT
ijassa-570	172	22	and	and	CCONJ
ijassa-570	172	23	after	after	ADP
ijassa-570	172	24	(	(	PUNCT
ijassa-570	172	25	solid	solid	ADJ
ijassa-570	172	26	line	line	NOUN
ijassa-570	172	27	)	)	PUNCT
ijassa-570	172	28	of	of	ADP
ijassa-570	172	29	the	the	DET
ijassa-570	172	30	objectifying	objectifying	NOUN
ijassa-570	172	31	is	be	AUX
ijassa-570	172	32	shown	show	VERB
ijassa-570	172	33	[	[	PUNCT
ijassa-570	172	34	2	2	NUM
ijassa-570	172	35	]	]	PUNCT
ijassa-570	172	36	.	.	PUNCT
ijassa-570	173	1	when	when	SCONJ
ijassa-570	173	2	counted	count	VERB
ijassa-570	173	3	the	the	DET
ijassa-570	173	4	coefficient	coefficient	NOUN
ijassa-570	173	5	of	of	ADP
ijassa-570	173	6	identifiability	identifiability	NOUN
ijassa-570	173	7	values	value	NOUN
ijassa-570	173	8	of	of	ADP
ijassa-570	173	9	errors	error	NOUN
ijassa-570	173	10	of	of	ADP
ijassa-570	173	11	identification	identification	NOUN
ijassa-570	173	12	of	of	ADP
ijassa-570	173	13	the	the	DET
ijassa-570	173	14	first	first	ADJ
ijassa-570	173	15	and	and	CCONJ
ijassa-570	173	16	second	second	ADJ
ijassa-570	173	17	kind	kind	NOUN
ijassa-570	173	18	were	be	AUX
ijassa-570	173	19	added	add	VERB
ijassa-570	173	20	.	.	PUNCT
ijassa-570	174	1	the	the	DET
ijassa-570	174	2	figure	figure	NOUN
ijassa-570	174	3	displays	display	VERB
ijassa-570	174	4	the	the	DET
ijassa-570	174	5	identifiability	identifiability	NOUN
ijassa-570	174	6	improvement	improvement	NOUN
ijassa-570	174	7	reached	reach	VERB
ijassa-570	174	8	by	by	ADP
ijassa-570	174	9	the	the	DET
ijassa-570	174	10	procedure	procedure	NOUN
ijassa-570	174	11	of	of	ADP
ijassa-570	174	12	objectifying	objectifying	ADJ
ijassa-570	174	13	.	.	PUNCT
ijassa-570	175	1	often	often	ADV
ijassa-570	175	2	,	,	PUNCT
ijassa-570	175	3	you	you	PRON
ijassa-570	175	4	can	can	AUX
ijassa-570	175	5	get	get	VERB
ijassa-570	175	6	more	more	ADJ
ijassa-570	175	7	effect	effect	NOUN
ijassa-570	175	8	,	,	PUNCT
ijassa-570	175	9	and	and	CCONJ
ijassa-570	175	10	the	the	DET
ijassa-570	175	11	choice	choice	NOUN
ijassa-570	175	12	of	of	ADP
ijassa-570	175	13	the	the	DET
ijassa-570	175	14	algorithm	algorithm	NOUN
ijassa-570	175	15	of	of	ADP
ijassa-570	175	16	identification	identification	NOUN
ijassa-570	175	17	(	(	PUNCT
ijassa-570	175	18	recognition	recognition	NOUN
ijassa-570	175	19	)	)	PUNCT
ijassa-570	175	20	does	do	AUX
ijassa-570	175	21	not	not	PART
ijassa-570	175	22	play	play	VERB
ijassa-570	175	23	a	a	DET
ijassa-570	175	24	application	application	NOUN
ijassa-570	175	25	of	of	ADP
ijassa-570	175	26	algorithms	algorithm	NOUN
ijassa-570	175	27	of	of	ADP
ijassa-570	175	28	objectifying	objectifying	ADJ
ijassa-570	175	29	expert	expert	NOUN
ijassa-570	175	30	clustering	cluster	VERB
ijassa-570	175	31	107	107	NUM
ijassa-570	175	32	copyright	copyright	NOUN
ijassa-570	175	33	©	©	PROPN
ijassa-570	175	34	2018	2018	NUM
ijassa-570	175	35	assa	assa	NOUN
ijassa-570	175	36	.	.	PUNCT
ijassa-570	176	1	adv	adv	PROPN
ijassa-570	176	2	.	.	PUNCT
ijassa-570	177	1	in	in	ADP
ijassa-570	177	2	systems	system	NOUN
ijassa-570	177	3	science	science	NOUN
ijassa-570	177	4	and	and	CCONJ
ijassa-570	177	5	appl	appl	NOUN
ijassa-570	177	6	.	.	PUNCT
ijassa-570	178	1	(	(	PUNCT
ijassa-570	178	2	2018	2018	NUM
ijassa-570	178	3	)	)	PUNCT
ijassa-570	178	4	determining	determine	VERB
ijassa-570	178	5	role	role	NOUN
ijassa-570	178	6	.	.	PUNCT
ijassa-570	179	1	in	in	ADP
ijassa-570	179	2	general	general	ADJ
ijassa-570	179	3	,	,	PUNCT
ijassa-570	179	4	defining	define	VERB
ijassa-570	179	5	influence	influence	NOUN
ijassa-570	179	6	on	on	ADP
ijassa-570	179	7	the	the	DET
ijassa-570	179	8	efficiency	efficiency	NOUN
ijassa-570	179	9	of	of	ADP
ijassa-570	179	10	the	the	DET
ijassa-570	179	11	procedure	procedure	NOUN
ijassa-570	179	12	of	of	ADP
ijassa-570	179	13	objectifying	objectifying	NOUN
ijassa-570	179	14	is	be	AUX
ijassa-570	179	15	having	have	VERB
ijassa-570	179	16	an	an	PRON
ijassa-570	179	17	by	by	ADP
ijassa-570	179	18	several	several	ADJ
ijassa-570	179	19	factors	factor	NOUN
ijassa-570	179	20	render	render	VERB
ijassa-570	179	21	:	:	PUNCT
ijassa-570	179	22	factors	factor	NOUN
ijassa-570	179	23	of	of	ADP
ijassa-570	179	24	internal	internal	ADJ
ijassa-570	179	25	(	(	PUNCT
ijassa-570	179	26	formal	formal	ADJ
ijassa-570	179	27	)	)	PUNCT
ijassa-570	179	28	character	character	NOUN
ijassa-570	179	29	:	:	PUNCT
ijassa-570	179	30	1.1	1.1	NUM
ijassa-570	179	31	.	.	PUNCT
ijassa-570	180	1	completeness	completeness	NOUN
ijassa-570	180	2	of	of	ADP
ijassa-570	180	3	selection	selection	NOUN
ijassa-570	180	4	of	of	ADP
ijassa-570	180	5	vectors	vector	NOUN
ijassa-570	180	6	.	.	PUNCT
ijassa-570	181	1	1.2	1.2	NUM
ijassa-570	181	2	.	.	PUNCT
ijassa-570	182	1	a	a	DET
ijassa-570	182	2	validity	validity	NOUN
ijassa-570	182	3	of	of	ADP
ijassa-570	182	4	the	the	DET
ijassa-570	182	5	measured	measured	ADJ
ijassa-570	182	6	parameters	parameter	NOUN
ijassa-570	182	7	.	.	PUNCT
ijassa-570	183	1	factors	factor	NOUN
ijassa-570	183	2	of	of	ADP
ijassa-570	183	3	the	the	DET
ijassa-570	183	4	external	external	ADJ
ijassa-570	183	5	(	(	PUNCT
ijassa-570	183	6	introduced	introduce	VERB
ijassa-570	183	7	)	)	PUNCT
ijassa-570	183	8	plan	plan	NOUN
ijassa-570	183	9	:	:	PUNCT
ijassa-570	183	10	2.1	2.1	NUM
ijassa-570	183	11	.	.	PUNCT
ijassa-570	183	12	potential	potential	ADJ
ijassa-570	183	13	possibility	possibility	NOUN
ijassa-570	183	14	of	of	ADP
ijassa-570	183	15	expert	expert	NOUN
ijassa-570	183	16	estimation	estimation	NOUN
ijassa-570	183	17	.	.	PUNCT
ijassa-570	184	1	2.2	2.2	NUM
ijassa-570	184	2	.	.	PUNCT
ijassa-570	184	3	quality	quality	NOUN
ijassa-570	184	4	of	of	ADP
ijassa-570	184	5	expert	expert	NOUN
ijassa-570	184	6	estimates	estimate	NOUN
ijassa-570	184	7	.	.	PUNCT
ijassa-570	185	1	fig	fig	NOUN
ijassa-570	185	2	.	.	PUNCT
ijassa-570	186	1	4	4	X
ijassa-570	186	2	.	.	X
ijassa-570	186	3	dependence	dependence	NOUN
ijassa-570	186	4	of	of	ADP
ijassa-570	186	5	coefficient	coefficient	NOUN
ijassa-570	186	6	of	of	ADP
ijassa-570	186	7	identifiability	identifiability	NOUN
ijassa-570	186	8	kid	kid	NOUN
ijassa-570	186	9	from	from	ADP
ijassa-570	186	10	number	number	NOUN
ijassa-570	186	11	of	of	ADP
ijassa-570	186	12	the	the	DET
ijassa-570	186	13	used	use	VERB
ijassa-570	186	14	parameters	parameter	NOUN
ijassa-570	186	15	m	m	VERB
ijassa-570	186	16	to	to	ADP
ijassa-570	186	17	(	(	PUNCT
ijassa-570	186	18	dashed	dash	VERB
ijassa-570	186	19	line	line	NOUN
ijassa-570	186	20	)	)	PUNCT
ijassa-570	186	21	and	and	CCONJ
ijassa-570	186	22	after	after	ADP
ijassa-570	186	23	(	(	PUNCT
ijassa-570	186	24	solid	solid	ADJ
ijassa-570	186	25	line	line	NOUN
ijassa-570	186	26	)	)	PUNCT
ijassa-570	186	27	of	of	ADP
ijassa-570	186	28	objectifying	objectifying	ADJ
ijassa-570	186	29	4	4	NUM
ijassa-570	186	30	.	.	PUNCT
ijassa-570	186	31	formalization	formalization	NOUN
ijassa-570	186	32	of	of	ADP
ijassa-570	186	33	the	the	DET
ijassa-570	186	34	procedure	procedure	NOUN
ijassa-570	186	35	of	of	ADP
ijassa-570	186	36	objectifying	objectifying	ADJ
ijassa-570	186	37	complexity	complexity	NOUN
ijassa-570	186	38	of	of	ADP
ijassa-570	186	39	formalization	formalization	NOUN
ijassa-570	186	40	of	of	ADP
ijassa-570	186	41	the	the	DET
ijassa-570	186	42	procedure	procedure	NOUN
ijassa-570	186	43	of	of	ADP
ijassa-570	186	44	objectifying	objectifying	NOUN
ijassa-570	186	45	of	of	ADP
ijassa-570	186	46	the	the	DET
ijassa-570	186	47	expert	expert	NOUN
ijassa-570	186	48	clustering	clustering	NOUN
ijassa-570	186	49	is	be	AUX
ijassa-570	186	50	defined	define	VERB
ijassa-570	186	51	,	,	PUNCT
ijassa-570	186	52	as	as	ADP
ijassa-570	186	53	a	a	DET
ijassa-570	186	54	rule	rule	NOUN
ijassa-570	186	55	,	,	PUNCT
ijassa-570	186	56	by	by	ADP
ijassa-570	186	57	absence	absence	NOUN
ijassa-570	186	58	of	of	ADP
ijassa-570	186	59	mathematical	mathematical	ADJ
ijassa-570	186	60	models	model	NOUN
ijassa-570	186	61	of	of	ADP
ijassa-570	186	62	real	real	ADJ
ijassa-570	186	63	objects	object	NOUN
ijassa-570	186	64	.	.	PUNCT
ijassa-570	187	1	for	for	ADP
ijassa-570	187	2	interpretation	interpretation	NOUN
ijassa-570	187	3	of	of	ADP
ijassa-570	187	4	the	the	DET
ijassa-570	187	5	content	content	NOUN
ijassa-570	187	6	of	of	ADP
ijassa-570	187	7	the	the	DET
ijassa-570	187	8	objectifying	objectifying	ADJ
ijassa-570	187	9	procedure	procedure	NOUN
ijassa-570	187	10	in	in	ADP
ijassa-570	187	11	terms	term	NOUN
ijassa-570	187	12	of	of	ADP
ijassa-570	187	13	the	the	DET
ijassa-570	187	14	theory	theory	NOUN
ijassa-570	187	15	of	of	ADP
ijassa-570	187	16	fuzzy	fuzzy	ADJ
ijassa-570	187	17	sets	set	NOUN
ijassa-570	187	18	[	[	X
ijassa-570	187	19	7	7	X
ijassa-570	187	20	]	]	PUNCT
ijassa-570	187	21	{	{	PUNCT
ijassa-570	187	22	v	v	NOUN
ijassa-570	187	23			ADP
ijassa-570	187	24	}	}	PUNCT
ijassa-570	187	25	(	(	PUNCT
ijassa-570	187	26	the	the	DET
ijassa-570	187	27	set	set	NOUN
ijassa-570	187	28	of	of	ADP
ijassa-570	187	29	vectors	vector	NOUN
ijassa-570	187	30	of	of	ADP
ijassa-570	187	31	the	the	DET
ijassa-570	187	32	class	class	NOUN
ijassa-570	187	33	)	)	PUNCT
ijassa-570	187	34	we	we	PRON
ijassa-570	187	35	define	define	VERB
ijassa-570	187	36	as	as	ADP
ijassa-570	187	37	a	a	DET
ijassa-570	187	38	fuzzy	fuzzy	ADJ
ijassa-570	187	39	set	set	VERB
ijassa-570	187	40	fj	fj	PROPN
ijassa-570	187	41	,	,	PUNCT
ijassa-570	187	42	namely	namely	ADV
ijassa-570	187	43	as	as	ADP
ijassa-570	187	44	a	a	DET
ijassa-570	187	45	set	set	NOUN
ijassa-570	187	46	of	of	ADP
ijassa-570	187	47	pairs	pair	NOUN
ijassa-570	187	48	fj	fj	INTJ
ijassa-570	187	49	=	=	PUNCT
ijassa-570	187	50	{	{	PUNCT
ijassa-570	187	51	(	(	PUNCT
ijassa-570	187	52	v	v	NOUN
ijassa-570	187	53	,	,	PUNCT
ijassa-570	187	54	μj	μj	X
ijassa-570	187	55	(	(	PUNCT
ijassa-570	187	56	v	v	NOUN
ijassa-570	187	57	)	)	PUNCT
ijassa-570	187	58	)	)	PUNCT
ijassa-570	188	1	|	|	ADV
ijassa-570	188	2	vu	vu	NOUN
ijassa-570	188	3	}	}	PUNCT
ijassa-570	188	4	,	,	PUNCT
ijassa-570	188	5	where	where	SCONJ
ijassa-570	188	6	v	v	NOUN
ijassa-570	188	7	is	be	AUX
ijassa-570	188	8	a	a	DET
ijassa-570	188	9	vector	vector	NOUN
ijassa-570	188	10	belonging	belong	VERB
ijassa-570	188	11	to	to	ADP
ijassa-570	188	12	the	the	DET
ijassa-570	188	13	universe	universe	NOUN
ijassa-570	188	14	u.	u.	VERB
ijassa-570	188	15	the	the	DET
ijassa-570	188	16	set	set	NOUN
ijassa-570	188	17	of	of	ADP
ijassa-570	188	18	all	all	DET
ijassa-570	188	19	vectors	vector	NOUN
ijassa-570	188	20	,	,	PUNCT
ijassa-570	188	21	μj	μj	X
ijassa-570	188	22	(	(	PUNCT
ijassa-570	188	23	v	v	NOUN
ijassa-570	188	24	):	):	PUNCT
ijassa-570	188	25	u	u	NOUN
ijassa-570	188	26	→	→	SYM
ijassa-570	188	27	[	[	X
ijassa-570	188	28	0,1	0,1	NUM
ijassa-570	188	29	]	]	PUNCT
ijassa-570	188	30	is	be	AUX
ijassa-570	188	31	the	the	DET
ijassa-570	188	32	function	function	NOUN
ijassa-570	188	33	(	(	PUNCT
ijassa-570	188	34	degree	degree	NOUN
ijassa-570	188	35	)	)	PUNCT
ijassa-570	188	36	of	of	ADP
ijassa-570	188	37	the	the	DET
ijassa-570	188	38	vector	vector	NOUN
ijassa-570	188	39	v	v	ADP
ijassa-570	188	40	belonging	belong	VERB
ijassa-570	188	41	to	to	ADP
ijassa-570	188	42	the	the	DET
ijassa-570	188	43	fuzzy	fuzzy	ADJ
ijassa-570	188	44	set	set	VERB
ijassa-570	188	45	fj	fj	X
ijassa-570	188	46	(	(	PUNCT
ijassa-570	188	47	defined	define	VERB
ijassa-570	188	48	above	above	ADV
ijassa-570	188	49	as	as	ADP
ijassa-570	188	50	a	a	DET
ijassa-570	188	51	cluster	cluster	NOUN
ijassa-570	188	52	coefficient	coefficient	NOUN
ijassa-570	188	53	)	)	PUNCT
ijassa-570	188	54	.	.	PUNCT
ijassa-570	189	1	as	as	SCONJ
ijassa-570	189	2	the	the	DET
ijassa-570	189	3	threshold	threshold	NOUN
ijassa-570	189	4	value	value	NOUN
ijassa-570	189	5	of	of	ADP
ijassa-570	189	6	a	a	DET
ijassa-570	189	7	level	level	NOUN
ijassa-570	189	8	of	of	ADP
ijassa-570	189	9	attachment	attachment	NOUN
ijassa-570	189	10	the	the	DET
ijassa-570	189	11	value	value	NOUN
ijassa-570	189	12	of	of	ADP
ijassa-570	189	13	so	so	ADV
ijassa-570	189	14	-	-	PUNCT
ijassa-570	189	15	called	call	VERB
ijassa-570	189	16	transition	transition	NOUN
ijassa-570	189	17	point	point	NOUN
ijassa-570	189	18	of	of	ADP
ijassa-570	189	19	an	an	DET
ijassa-570	189	20	indistinct	indistinct	ADJ
ijassa-570	189	21	set	set	NOUN
ijassa-570	189	22	,	,	PUNCT
ijassa-570	189	23	namely	namely	ADV
ijassa-570	189	24	0.5	0.5	NUM
ijassa-570	189	25	which	which	PRON
ijassa-570	189	26	can	can	AUX
ijassa-570	189	27	be	be	AUX
ijassa-570	189	28	used	use	VERB
ijassa-570	189	29	as	as	ADP
ijassa-570	189	30	an	an	DET
ijassa-570	189	31	initial	initial	ADJ
ijassa-570	189	32	reference	reference	NOUN
ijassa-570	189	33	point	point	NOUN
ijassa-570	189	34	,	,	PUNCT
ijassa-570	189	35	is	be	AUX
ijassa-570	189	36	normally	normally	ADV
ijassa-570	189	37	used	use	VERB
ijassa-570	189	38	.	.	PUNCT
ijassa-570	190	1	the	the	DET
ijassa-570	190	2	carrier	carrier	NOUN
ijassa-570	190	3	of	of	ADP
ijassa-570	190	4	a	a	DET
ijassa-570	190	5	fuzzy	fuzzy	ADJ
ijassa-570	190	6	set	set	NOUN
ijassa-570	190	7	fj	fj	PROPN
ijassa-570	190	8	is	be	AUX
ijassa-570	190	9	a	a	DET
ijassa-570	190	10	subset	subset	NOUN
ijassa-570	190	11	of	of	ADP
ijassa-570	190	12	jf	jf	PROPN
ijassa-570	190	13	~	~	PUNCT
ijassa-570	190	14	vectors	vector	NOUN
ijassa-570	190	15	having	have	VERB
ijassa-570	190	16	explicit	explicit	ADJ
ijassa-570	190	17	attributes	attribute	NOUN
ijassa-570	190	18	of	of	ADP
ijassa-570	190	19	the	the	DET
ijassa-570	190	20	class	class	NOUN
ijassa-570	190	21	,	,	PUNCT
ijassa-570	190	22	that	that	ADV
ijassa-570	190	23	is	is	ADV
ijassa-570	190	24	,	,	PUNCT
ijassa-570	190	25	the	the	DET
ijassa-570	190	26	degree	degree	NOUN
ijassa-570	190	27	of	of	ADP
ijassa-570	190	28	belonging	belong	VERB
ijassa-570	190	29	of	of	ADP
ijassa-570	190	30	μj	μj	PROPN
ijassa-570	190	31	(	(	PUNCT
ijassa-570	190	32	v	v	NOUN
ijassa-570	190	33	)	)	PUNCT
ijassa-570	190	34	which	which	PRON
ijassa-570	190	35	is	be	AUX
ijassa-570	190	36	very	very	ADV
ijassa-570	190	37	high	high	ADJ
ijassa-570	190	38	.	.	PUNCT
ijassa-570	191	1	since	since	SCONJ
ijassa-570	191	2	in	in	ADP
ijassa-570	191	3	our	our	PRON
ijassa-570	191	4	case	case	NOUN
ijassa-570	191	5	objectifying	objectifying	ADJ
ijassa-570	191	6	is	be	AUX
ijassa-570	191	7	a	a	DET
ijassa-570	191	8	priori	priori	NOUN
ijassa-570	191	9	performed	perform	VERB
ijassa-570	191	10	for	for	ADP
ijassa-570	191	11	sufficiently	sufficiently	ADV
ijassa-570	191	12	representative	representative	ADJ
ijassa-570	191	13	samples	sample	NOUN
ijassa-570	191	14	,	,	PUNCT
ijassa-570	191	15	the	the	DET
ijassa-570	191	16	height	height	NOUN
ijassa-570	191	17	of	of	ADP
ijassa-570	191	18	the	the	DET
ijassa-570	191	19	fuzzy	fuzzy	ADJ
ijassa-570	191	20	set	set	VERB
ijassa-570	191	21	sup	sup	NOUN
ijassa-570	191	22	jf	jf	PROPN
ijassa-570	191	23	μj	μj	PROPN
ijassa-570	191	24	(	(	PUNCT
ijassa-570	191	25	v	v	NOUN
ijassa-570	191	26	)	)	PUNCT
ijassa-570	191	27	=	=	SYM
ijassa-570	191	28	1	1	NUM
ijassa-570	191	29	,	,	PUNCT
ijassa-570	191	30	that	that	ADV
ijassa-570	191	31	is	is	ADV
ijassa-570	191	32	,	,	PUNCT
ijassa-570	191	33	the	the	DET
ijassa-570	191	34	fuzzy	fuzzy	ADJ
ijassa-570	191	35	set	set	NOUN
ijassa-570	191	36	fj	fj	PROPN
ijassa-570	191	37	is	be	AUX
ijassa-570	191	38	normal	normal	ADJ
ijassa-570	191	39	.	.	PUNCT
ijassa-570	192	1	for	for	ADP
ijassa-570	192	2	the	the	DET
ijassa-570	192	3	same	same	ADJ
ijassa-570	192	4	reason	reason	NOUN
ijassa-570	192	5	,	,	PUNCT
ijassa-570	192	6	the	the	DET
ijassa-570	192	7	fuzzy	fuzzy	ADJ
ijassa-570	192	8	set	set	NOUN
ijassa-570	192	9	is	be	AUX
ijassa-570	192	10	not	not	PART
ijassa-570	192	11	unimodal	unimodal	ADJ
ijassa-570	192	12	(	(	PUNCT
ijassa-570	192	13	the	the	DET
ijassa-570	192	14	degree	degree	NOUN
ijassa-570	192	15	of	of	ADP
ijassa-570	192	16	belonging	belong	VERB
ijassa-570	192	17	to	to	ADP
ijassa-570	192	18	the	the	DET
ijassa-570	192	19	class	class	NOUN
ijassa-570	192	20	reaches	reach	VERB
ijassa-570	192	21	the	the	DET
ijassa-570	192	22	value	value	NOUN
ijassa-570	192	23	"	"	PUNCT
ijassa-570	192	24	1	1	NUM
ijassa-570	192	25	"	"	PUNCT
ijassa-570	192	26	for	for	ADP
ijassa-570	192	27	more	more	ADJ
ijassa-570	192	28	than	than	ADP
ijassa-570	192	29	one	one	NUM
ijassa-570	192	30	vector	vector	NOUN
ijassa-570	192	31	)	)	PUNCT
ijassa-570	192	32	.	.	PUNCT
ijassa-570	193	1	filtering	filter	VERB
ijassa-570	193	2	of	of	ADP
ijassa-570	193	3	vectors	vector	NOUN
ijassa-570	193	4	using	use	VERB
ijassa-570	193	5	the	the	DET
ijassa-570	193	6	maximum	maximum	ADJ
ijassa-570	193	7	threshold	threshold	NOUN
ijassa-570	193	8	values	value	NOUN
ijassa-570	193	9	k*=α	k*=α	PUNCT
ijassa-570	193	10	(	(	PUNCT
ijassa-570	193	11	k**=α	k**=α	PROPN
ijassa-570	193	12	)	)	PUNCT
ijassa-570	193	13	for	for	ADP
ijassa-570	193	14	the	the	DET
ijassa-570	193	15	membership	membership	NOUN
ijassa-570	193	16	coefficients	coefficient	NOUN
ijassa-570	193	17	generates	generate	VERB
ijassa-570	193	18	an	an	DET
ijassa-570	193	19	α	α	NOUN
ijassa-570	193	20	-	-	PUNCT
ijassa-570	193	21	slice	slice	NOUN
ijassa-570	193	22	of	of	ADP
ijassa-570	193	23	the	the	DET
ijassa-570	193	24	fuzzy	fuzzy	ADJ
ijassa-570	193	25	set	set	VERB
ijassa-570	193	26	fj	fj	INTJ
ijassa-570	193	27	,	,	PUNCT
ijassa-570	193	28	that	that	ADV
ijassa-570	193	29	is	is	ADV
ijassa-570	193	30	,	,	PUNCT
ijassa-570	193	31	generates	generate	VERB
ijassa-570	193	32	a	a	DET
ijassa-570	193	33	clear	clear	ADJ
ijassa-570	193	34	set	set	VERB
ijassa-570	193	35	ajα	ajα	NOUN
ijassa-570	193	36	,	,	PUNCT
ijassa-570	193	37	which	which	PRON
ijassa-570	193	38	is	be	AUX
ijassa-570	193	39	determined	determine	VERB
ijassa-570	193	40	by	by	ADP
ijassa-570	193	41	the	the	DET
ijassa-570	193	42	characteristic	characteristic	ADJ
ijassa-570	193	43	function	function	NOUN
ijassa-570	193	44	χajα	χajα	NOUN
ijassa-570	193	45	:	:	PUNCT
ijassa-570	193	46	(	(	PUNCT
ijassa-570	193	47	(	(	PUNCT
ijassa-570	193	48	μi	μi	X
ijassa-570	193	49	<	<	X
ijassa-570	193	50	α)→(χai	α)→(χai	PROPN
ijassa-570	193	51	,	,	PUNCT
ijassa-570	193	52	α	α	NOUN
ijassa-570	193	53	=	=	NOUN
ijassa-570	193	54	0	0	NUM
ijassa-570	193	55	)	)	PUNCT
ijassa-570	193	56	)	)	PUNCT
ijassa-570	193	57	&	&	CCONJ
ijassa-570	193	58	(	(	PUNCT
ijassa-570	193	59	(	(	PUNCT
ijassa-570	193	60	μi	μi	NUM
ijassa-570	193	61	≥	≥	NOUN
ijassa-570	193	62	α)→(χai	α)→(χai	NUM
ijassa-570	193	63	,	,	PUNCT
ijassa-570	193	64	α	α	NOUN
ijassa-570	193	65	=	=	SYM
ijassa-570	193	66	1	1	NUM
ijassa-570	193	67	)	)	PUNCT
ijassa-570	193	68	)	)	PUNCT
ijassa-570	193	69	.	.	PUNCT
ijassa-570	194	1	for	for	ADP
ijassa-570	194	2	the	the	DET
ijassa-570	194	3	alpha	alpha	NOUN
ijassa-570	194	4	-	-	PUNCT
ijassa-570	194	5	slices	slice	NOUN
ijassa-570	194	6	of	of	ADP
ijassa-570	194	7	the	the	DET
ijassa-570	194	8	fuzzy	fuzzy	ADJ
ijassa-570	194	9	set	set	VERB
ijassa-570	194	10	fj	fj	PROPN
ijassa-570	194	11	,	,	PUNCT
ijassa-570	194	12	the	the	DET
ijassa-570	194	13	mutual	mutual	ADJ
ijassa-570	194	14	implication	implication	NOUN
ijassa-570	194	15	α1	α1	PROPN
ijassa-570	194	16	<	<	X
ijassa-570	194	17	α2aj	α2aj	PROPN
ijassa-570	194	18	,	,	PUNCT
ijassa-570	194	19	α1	α1	PROPN
ijassa-570	194	20	aj	aj	PROPN
ijassa-570	194	21	,	,	PUNCT
ijassa-570	194	22	α2	α2	PROPN
ijassa-570	194	23	is	be	AUX
ijassa-570	194	24	valid	valid	ADJ
ijassa-570	194	25	,	,	PUNCT
ijassa-570	194	26	reflecting	reflect	VERB
ijassa-570	194	27	the	the	DET
ijassa-570	194	28	fact	fact	NOUN
ijassa-570	194	29	that	that	SCONJ
ijassa-570	194	30	filtering	filter	VERB
ijassa-570	194	31	vectors	vector	NOUN
ijassa-570	194	32	using	use	VERB
ijassa-570	194	33	a	a	DET
ijassa-570	194	34	larger	large	ADJ
ijassa-570	194	35	threshold	threshold	NOUN
ijassa-570	194	36	value	value	NOUN
ijassa-570	194	37	,	,	PUNCT
ijassa-570	194	38	to	to	PART
ijassa-570	194	39	generate	generate	VERB
ijassa-570	194	40	sets	set	NOUN
ijassa-570	194	41	of	of	ADP
ijassa-570	194	42	lower	low	ADJ
ijassa-570	194	43	power	power	NOUN
ijassa-570	194	44	than	than	ADP
ijassa-570	194	45	filtering	filter	VERB
ijassa-570	194	46	with	with	ADP
ijassa-570	194	47	a	a	DET
ijassa-570	194	48	smaller	small	ADJ
ijassa-570	194	49	threshold	threshold	NOUN
ijassa-570	194	50	value	value	NOUN
ijassa-570	194	51	.	.	PUNCT
ijassa-570	195	1	as	as	ADP
ijassa-570	195	2	for	for	ADP
ijassa-570	195	3	such	such	ADJ
ijassa-570	195	4	important	important	ADJ
ijassa-570	195	5	concept	concept	NOUN
ijassa-570	195	6	108	108	NUM
ijassa-570	195	7	v.	v.	ADP
ijassa-570	195	8	guchuk	guchuk	NOUN
ijassa-570	195	9	copyright	copyright	NOUN
ijassa-570	195	10	©	©	PROPN
ijassa-570	195	11	2018	2018	NUM
ijassa-570	195	12	assa	assa	NOUN
ijassa-570	195	13	.	.	PUNCT
ijassa-570	196	1	adv	adv	PROPN
ijassa-570	196	2	.	.	PUNCT
ijassa-570	197	1	in	in	ADP
ijassa-570	197	2	systems	system	NOUN
ijassa-570	197	3	science	science	NOUN
ijassa-570	197	4	and	and	CCONJ
ijassa-570	197	5	appl	appl	NOUN
ijassa-570	197	6	.	.	PUNCT
ijassa-570	198	1	(	(	PUNCT
ijassa-570	198	2	2018	2018	NUM
ijassa-570	198	3	)	)	PUNCT
ijassa-570	198	4	as	as	ADP
ijassa-570	198	5	convexity	convexity	NOUN
ijassa-570	198	6	of	of	ADP
ijassa-570	198	7	a	a	DET
ijassa-570	198	8	set	set	NOUN
ijassa-570	198	9	,	,	PUNCT
ijassa-570	198	10	in	in	ADP
ijassa-570	198	11	most	most	ADJ
ijassa-570	198	12	cases	case	NOUN
ijassa-570	198	13	it	it	PRON
ijassa-570	198	14	is	be	AUX
ijassa-570	198	15	n't	not	PART
ijassa-570	198	16	applicable	applicable	ADJ
ijassa-570	198	17	to	to	ADP
ijassa-570	198	18	a	a	DET
ijassa-570	198	19	real	real	ADJ
ijassa-570	198	20	experimental	experimental	ADJ
ijassa-570	198	21	data	datum	NOUN
ijassa-570	198	22	.	.	PUNCT
ijassa-570	199	1	it	it	PRON
ijassa-570	199	2	is	be	AUX
ijassa-570	199	3	necessary	necessary	ADJ
ijassa-570	199	4	to	to	PART
ijassa-570	199	5	point	point	VERB
ijassa-570	199	6	out	out	ADP
ijassa-570	199	7	that	that	SCONJ
ijassa-570	199	8	hypothetically	hypothetically	ADV
ijassa-570	199	9	in	in	ADP
ijassa-570	199	10	the	the	DET
ijassa-570	199	11	evaluation	evaluation	NOUN
ijassa-570	199	12	plan	plan	NOUN
ijassa-570	199	13	the	the	DET
ijassa-570	199	14	above	above	ADV
ijassa-570	199	15	-	-	PUNCT
ijassa-570	199	16	mentioned	mention	VERB
ijassa-570	199	17	indistinct	indistinct	ADJ
ijassa-570	199	18	set	set	NOUN
ijassa-570	199	19	of	of	ADP
ijassa-570	199	20	fi	fi	NOUN
ijassa-570	199	21	can	can	AUX
ijassa-570	199	22	be	be	AUX
ijassa-570	199	23	convex	convex	ADJ
ijassa-570	199	24	because	because	SCONJ
ijassa-570	199	25	of	of	ADP
ijassa-570	199	26	simplicity	simplicity	NOUN
ijassa-570	199	27	of	of	ADP
ijassa-570	199	28	creation	creation	NOUN
ijassa-570	199	29	of	of	ADP
ijassa-570	199	30	boundaries	boundary	NOUN
ijassa-570	199	31	of	of	ADP
ijassa-570	199	32	sets	set	NOUN
ijassa-570	199	33	in	in	ADP
ijassa-570	199	34	the	the	DET
ijassa-570	199	35	space	space	NOUN
ijassa-570	199	36	of	of	ADP
ijassa-570	199	37	the	the	DET
ijassa-570	199	38	measured	measured	ADJ
ijassa-570	199	39	parameters	parameter	NOUN
ijassa-570	199	40	.	.	PUNCT
ijassa-570	200	1	further	far	ADV
ijassa-570	200	2	the	the	DET
ijassa-570	200	3	reclassification	reclassification	NOUN
ijassa-570	200	4	of	of	ADP
ijassa-570	200	5	the	the	DET
ijassa-570	200	6	vectors	vector	NOUN
ijassa-570	200	7	defined	define	VERB
ijassa-570	200	8	by	by	ADP
ijassa-570	200	9	an	an	DET
ijassa-570	200	10	expert	expert	NOUN
ijassa-570	200	11	estimation	estimation	NOUN
ijassa-570	200	12	to	to	ADP
ijassa-570	200	13	fi	fi	NOUN
ijassa-570	200	14	and	and	CCONJ
ijassa-570	200	15	belonging	belong	VERB
ijassa-570	200	16	to	to	ADP
ijassa-570	200	17	the	the	DET
ijassa-570	200	18	fi	fi	NOUN
ijassa-570	200	19	area	area	NOUN
ijassa-570	200	20	,	,	PUNCT
ijassa-570	200	21	but	but	CCONJ
ijassa-570	200	22	as	as	ADP
ijassa-570	200	23	a	a	DET
ijassa-570	200	24	result	result	NOUN
ijassa-570	200	25	of	of	ADP
ijassa-570	200	26	objectifying	objectifying	NOUN
ijassa-570	200	27	switched	switch	VERB
ijassa-570	200	28	on	on	ADP
ijassa-570	200	29	in	in	ADP
ijassa-570	200	30	the	the	DET
ijassa-570	200	31	set	set	NOUN
ijassa-570	200	32	can	can	AUX
ijassa-570	200	33	violate	violate	VERB
ijassa-570	200	34	the	the	DET
ijassa-570	200	35	convexity	convexity	NOUN
ijassa-570	200	36	conditions	condition	NOUN
ijassa-570	200	37	.	.	PUNCT
ijassa-570	201	1	for	for	ADP
ijassa-570	201	2	already	already	ADV
ijassa-570	201	3	objectified	objectified	ADJ
ijassa-570	201	4	clustering	clustering	NOUN
ijassa-570	201	5	,	,	PUNCT
ijassa-570	201	6	a	a	DET
ijassa-570	201	7	deeper	deep	ADJ
ijassa-570	201	8	tool	tool	NOUN
ijassa-570	201	9	of	of	ADP
ijassa-570	201	10	the	the	DET
ijassa-570	201	11	theory	theory	NOUN
ijassa-570	201	12	of	of	ADP
ijassa-570	201	13	fuzzy	fuzzy	ADJ
ijassa-570	201	14	sets	set	NOUN
ijassa-570	201	15	can	can	AUX
ijassa-570	201	16	also	also	ADV
ijassa-570	201	17	be	be	AUX
ijassa-570	201	18	used	use	VERB
ijassa-570	201	19	,	,	PUNCT
ijassa-570	201	20	in	in	ADP
ijassa-570	201	21	particular	particular	ADJ
ijassa-570	201	22	,	,	PUNCT
ijassa-570	201	23	based	base	VERB
ijassa-570	201	24	on	on	ADP
ijassa-570	201	25	maxi	maxi	ADJ
ijassa-570	201	26	-	-	PUNCT
ijassa-570	201	27	min	min	NOUN
ijassa-570	201	28	,	,	PUNCT
ijassa-570	201	29	algebraic	algebraic	ADJ
ijassa-570	201	30	and	and	CCONJ
ijassa-570	201	31	bounded	bounded	ADJ
ijassa-570	201	32	operations	operation	NOUN
ijassa-570	201	33	,	,	PUNCT
ijassa-570	201	34	and	and	CCONJ
ijassa-570	201	35	using	use	VERB
ijassa-570	201	36	the	the	DET
ijassa-570	201	37	t	t	NOUN
ijassa-570	201	38	-	-	PUNCT
ijassa-570	201	39	norm	norm	NOUN
ijassa-570	201	40	and	and	CCONJ
ijassa-570	201	41	so	so	ADV
ijassa-570	201	42	on	on	ADV
ijassa-570	201	43	.	.	PUNCT
ijassa-570	202	1	if	if	SCONJ
ijassa-570	202	2	two	two	NUM
ijassa-570	202	3	fuzzy	fuzzy	ADJ
ijassa-570	202	4	sets	set	NOUN
ijassa-570	202	5	are	be	AUX
ijassa-570	202	6	combined	combine	VERB
ijassa-570	202	7	for	for	ADP
ijassa-570	202	8	practical	practical	ADJ
ijassa-570	202	9	purposes	purpose	NOUN
ijassa-570	202	10	,	,	PUNCT
ijassa-570	202	11	the	the	DET
ijassa-570	202	12	combination	combination	NOUN
ijassa-570	202	13	of	of	ADP
ijassa-570	202	14	sets	set	NOUN
ijassa-570	202	15	fi	fi	PROPN
ijassa-570	202	16	fj	fj	PROPN
ijassa-570	202	17	is	be	AUX
ijassa-570	202	18	obtained	obtain	VERB
ijassa-570	202	19	the	the	DET
ijassa-570	202	20	smallest	small	ADJ
ijassa-570	202	21	fuzzy	fuzzy	NOUN
ijassa-570	202	22	set	set	VERB
ijassa-570	202	23	fi	fi	ADV
ijassa-570	202	24	j	j	NOUN
ijassa-570	202	25	containing	contain	VERB
ijassa-570	202	26	simultaneously	simultaneously	ADV
ijassa-570	202	27	fi	fi	NOUN
ijassa-570	202	28	and	and	CCONJ
ijassa-570	202	29	fj	fj	INTJ
ijassa-570	202	30	,	,	PUNCT
ijassa-570	202	31	for	for	ADP
ijassa-570	202	32	which	which	PRON
ijassa-570	202	33	μi	μi	PROPN
ijassa-570	202	34	j	j	PROPN
ijassa-570	202	35	(	(	PUNCT
ijassa-570	202	36	v	v	NOUN
ijassa-570	202	37	)	)	PUNCT
ijassa-570	203	1	=	=	SYM
ijassa-570	203	2	max	max	PROPN
ijassa-570	203	3	(	(	PUNCT
ijassa-570	203	4	μi	μi	X
ijassa-570	203	5	(	(	PUNCT
ijassa-570	203	6	v	v	NOUN
ijassa-570	203	7	)	)	PUNCT
ijassa-570	203	8	,	,	PUNCT
ijassa-570	203	9	μl	μl	INTJ
ijassa-570	203	10	(	(	PUNCT
ijassa-570	203	11	v	v	NOUN
ijassa-570	203	12	)	)	PUNCT
ijassa-570	203	13	)	)	PUNCT
ijassa-570	203	14	.	.	PUNCT
ijassa-570	204	1	in	in	ADP
ijassa-570	204	2	this	this	DET
ijassa-570	204	3	case	case	NOUN
ijassa-570	204	4	,	,	PUNCT
ijassa-570	204	5	the	the	DET
ijassa-570	204	6	largest	large	ADJ
ijassa-570	204	7	degree	degree	NOUN
ijassa-570	204	8	of	of	ADP
ijassa-570	204	9	membership	membership	NOUN
ijassa-570	204	10	(	(	PUNCT
ijassa-570	204	11	cluster	cluster	NOUN
ijassa-570	204	12	membership	membership	NOUN
ijassa-570	204	13	coefficient	coefficient	NOUN
ijassa-570	204	14	)	)	PUNCT
ijassa-570	204	15	is	be	AUX
ijassa-570	204	16	used	use	VERB
ijassa-570	204	17	for	for	ADP
ijassa-570	204	18	the	the	DET
ijassa-570	204	19	first	first	ADJ
ijassa-570	204	20	(	(	PUNCT
ijassa-570	204	21	for	for	ADP
ijassa-570	204	22	example	example	NOUN
ijassa-570	204	23	,	,	PUNCT
ijassa-570	204	24	l	l	NOUN
ijassa-570	204	25	-	-	PUNCT
ijassa-570	204	26	the	the	PRON
ijassa-570	204	27	)	)	PUNCT
ijassa-570	204	28	or	or	CCONJ
ijassa-570	204	29	second	second	ADJ
ijassa-570	204	30	(	(	PUNCT
ijassa-570	204	31	j	j	NOUN
ijassa-570	204	32	-	-	PUNCT
ijassa-570	204	33	the	the	DET
ijassa-570	204	34	)	)	PUNCT
ijassa-570	204	35	class	class	NOUN
ijassa-570	204	36	.	.	PUNCT
ijassa-570	205	1	the	the	DET
ijassa-570	205	2	reclassification	reclassification	NOUN
ijassa-570	205	3	algorithm	algorithm	NOUN
ijassa-570	205	4	uses	use	VERB
ijassa-570	205	5	more	more	ADJ
ijassa-570	205	6	complex	complex	ADJ
ijassa-570	205	7	procedures	procedure	NOUN
ijassa-570	205	8	.	.	PUNCT
ijassa-570	206	1	in	in	ADP
ijassa-570	206	2	particular	particular	ADJ
ijassa-570	206	3	,	,	PUNCT
ijassa-570	206	4	a	a	DET
ijassa-570	206	5	logical	logical	ADJ
ijassa-570	206	6	analysis	analysis	NOUN
ijassa-570	206	7	of	of	ADP
ijassa-570	206	8	the	the	DET
ijassa-570	206	9	absolute	absolute	ADJ
ijassa-570	206	10	values	value	NOUN
ijassa-570	206	11	of	of	ADP
ijassa-570	206	12	the	the	DET
ijassa-570	206	13	membership	membership	NOUN
ijassa-570	206	14	levels	level	NOUN
ijassa-570	206	15	and	and	CCONJ
ijassa-570	206	16	the	the	DET
ijassa-570	206	17	correlation	correlation	NOUN
ijassa-570	206	18	of	of	ADP
ijassa-570	206	19	the	the	DET
ijassa-570	206	20	levels	level	NOUN
ijassa-570	206	21	of	of	ADP
ijassa-570	206	22	belonging	belong	VERB
ijassa-570	206	23	to	to	ADP
ijassa-570	206	24	different	different	ADJ
ijassa-570	206	25	classes	class	NOUN
ijassa-570	206	26	of	of	ADP
ijassa-570	206	27	the	the	DET
ijassa-570	206	28	same	same	ADJ
ijassa-570	206	29	vector	vector	NOUN
ijassa-570	206	30	is	be	AUX
ijassa-570	206	31	used	use	VERB
ijassa-570	206	32	.	.	PUNCT
ijassa-570	207	1	as	as	ADP
ijassa-570	207	2	a	a	DET
ijassa-570	207	3	result	result	NOUN
ijassa-570	207	4	of	of	ADP
ijassa-570	207	5	such	such	ADJ
ijassa-570	207	6	logical	logical	ADJ
ijassa-570	207	7	analysis	analysis	NOUN
ijassa-570	207	8	,	,	PUNCT
ijassa-570	207	9	it	it	PRON
ijassa-570	207	10	is	be	AUX
ijassa-570	207	11	possible	possible	ADJ
ijassa-570	207	12	to	to	PART
ijassa-570	207	13	make	make	VERB
ijassa-570	207	14	an	an	DET
ijassa-570	207	15	adjustment	adjustment	NOUN
ijassa-570	207	16	of	of	ADP
ijassa-570	207	17	the	the	DET
ijassa-570	207	18	above	above	ADV
ijassa-570	207	19	-	-	PUNCT
ijassa-570	207	20	mentioned	mention	VERB
ijassa-570	207	21	product	product	NOUN
ijassa-570	207	22	of	of	ADP
ijassa-570	207	23	sets	set	NOUN
ijassa-570	207	24	of	of	ADP
ijassa-570	207	25	fi	fi	NOUN
ijassa-570	207	26	fj	fj	X
ijassa-570	207	27	,	,	PUNCT
ijassa-570	207	28	in	in	ADP
ijassa-570	207	29	particular	particular	ADJ
ijassa-570	207	30	.	.	PUNCT
ijassa-570	208	1	to	to	PART
ijassa-570	208	2	formalize	formalize	VERB
ijassa-570	208	3	the	the	DET
ijassa-570	208	4	objectifying	objectifying	NOUN
ijassa-570	208	5	of	of	ADP
ijassa-570	208	6	expert	expert	NOUN
ijassa-570	208	7	clustering	clustering	NOUN
ijassa-570	208	8	,	,	PUNCT
ijassa-570	208	9	fuzzy	fuzzy	ADJ
ijassa-570	208	10	estimates	estimate	NOUN
ijassa-570	208	11	of	of	ADP
ijassa-570	208	12	the	the	DET
ijassa-570	208	13	degree	degree	NOUN
ijassa-570	208	14	of	of	ADP
ijassa-570	208	15	belonging	belonging	NOUN
ijassa-570	208	16	is	be	AUX
ijassa-570	208	17	more	more	ADV
ijassa-570	208	18	appropriate	appropriate	ADJ
ijassa-570	208	19	.	.	PUNCT
ijassa-570	209	1	this	this	PRON
ijassa-570	209	2	is	be	AUX
ijassa-570	209	3	due	due	ADJ
ijassa-570	209	4	to	to	ADP
ijassa-570	209	5	the	the	DET
ijassa-570	209	6	fact	fact	NOUN
ijassa-570	209	7	that	that	SCONJ
ijassa-570	209	8	at	at	ADP
ijassa-570	209	9	this	this	DET
ijassa-570	209	10	stage	stage	NOUN
ijassa-570	209	11	it	it	PRON
ijassa-570	209	12	is	be	AUX
ijassa-570	209	13	impossible	impossible	ADJ
ijassa-570	209	14	to	to	PART
ijassa-570	209	15	obtain	obtain	VERB
ijassa-570	209	16	fairly	fairly	ADV
ijassa-570	209	17	accurate	accurate	ADJ
ijassa-570	209	18	and	and	CCONJ
ijassa-570	209	19	final	final	ADJ
ijassa-570	209	20	estimates	estimate	NOUN
ijassa-570	209	21	.	.	PUNCT
ijassa-570	210	1	in	in	ADP
ijassa-570	210	2	the	the	DET
ijassa-570	210	3	course	course	NOUN
ijassa-570	210	4	of	of	ADP
ijassa-570	210	5	objectifying	objectifying	ADJ
ijassa-570	210	6	,	,	PUNCT
ijassa-570	210	7	the	the	DET
ijassa-570	210	8	composition	composition	NOUN
ijassa-570	210	9	of	of	ADP
ijassa-570	210	10	the	the	DET
ijassa-570	210	11	fi	fi	NOUN
ijassa-570	210	12	set	set	NOUN
ijassa-570	210	13	,	,	PUNCT
ijassa-570	210	14	as	as	ADV
ijassa-570	210	15	well	well	ADV
ijassa-570	210	16	as	as	ADP
ijassa-570	210	17	a	a	DET
ijassa-570	210	18	subset	subset	NOUN
ijassa-570	210	19	,	,	PUNCT
ijassa-570	210	20	~	~	PUNCT
ijassa-570	210	21	if	if	SCONJ
ijassa-570	210	22	can	can	AUX
ijassa-570	210	23	undergo	undergo	VERB
ijassa-570	210	24	significant	significant	ADJ
ijassa-570	210	25	changes	change	NOUN
ijassa-570	210	26	that	that	PRON
ijassa-570	210	27	affect	affect	VERB
ijassa-570	210	28	the	the	DET
ijassa-570	210	29	parametric	parametric	ADJ
ijassa-570	210	30	formation	formation	NOUN
ijassa-570	210	31	of	of	ADP
ijassa-570	210	32	the	the	DET
ijassa-570	210	33	degrees	degree	NOUN
ijassa-570	210	34	of	of	ADP
ijassa-570	210	35	belonging	belong	VERB
ijassa-570	210	36	.	.	PUNCT
ijassa-570	211	1	in	in	ADP
ijassa-570	211	2	addition	addition	NOUN
ijassa-570	211	3	,	,	PUNCT
ijassa-570	211	4	it	it	PRON
ijassa-570	211	5	is	be	AUX
ijassa-570	211	6	possible	possible	ADJ
ijassa-570	211	7	to	to	PART
ijassa-570	211	8	introduce	introduce	VERB
ijassa-570	211	9	the	the	DET
ijassa-570	211	10	notion	notion	NOUN
ijassa-570	211	11	of	of	ADP
ijassa-570	211	12	the	the	DET
ijassa-570	211	13	level	level	NOUN
ijassa-570	211	14	of	of	ADP
ijassa-570	211	15	blurring	blurring	NOUN
ijassa-570	211	16	of	of	ADP
ijassa-570	211	17	estimates	estimate	NOUN
ijassa-570	211	18	and	and	CCONJ
ijassa-570	211	19	the	the	DET
ijassa-570	211	20	concept	concept	NOUN
ijassa-570	211	21	of	of	ADP
ijassa-570	211	22	the	the	DET
ijassa-570	211	23	reliability	reliability	NOUN
ijassa-570	211	24	of	of	ADP
ijassa-570	211	25	these	these	DET
ijassa-570	211	26	estimates	estimate	NOUN
ijassa-570	211	27	[	[	X
ijassa-570	211	28	2	2	NUM
ijassa-570	211	29	]	]	PUNCT
ijassa-570	211	30	or	or	CCONJ
ijassa-570	211	31	to	to	PART
ijassa-570	211	32	use	use	VERB
ijassa-570	211	33	probable	probable	ADJ
ijassa-570	211	34	characteristics	characteristic	NOUN
ijassa-570	211	35	for	for	ADP
ijassa-570	211	36	the	the	DET
ijassa-570	211	37	degree	degree	NOUN
ijassa-570	211	38	of	of	ADP
ijassa-570	211	39	belonging	belong	VERB
ijassa-570	211	40	.	.	PUNCT
ijassa-570	212	1	as	as	ADP
ijassa-570	212	2	for	for	ADP
ijassa-570	212	3	the	the	DET
ijassa-570	212	4	fuzzy	fuzzy	ADJ
ijassa-570	212	5	classification	classification	NOUN
ijassa-570	212	6	,	,	PUNCT
ijassa-570	212	7	this	this	DET
ijassa-570	212	8	concept	concept	NOUN
ijassa-570	212	9	in	in	ADP
ijassa-570	212	10	the	the	DET
ijassa-570	212	11	conventional	conventional	ADJ
ijassa-570	212	12	sense	sense	NOUN
ijassa-570	212	13	is	be	AUX
ijassa-570	212	14	difficult	difficult	ADJ
ijassa-570	212	15	to	to	PART
ijassa-570	212	16	apply	apply	VERB
ijassa-570	212	17	to	to	ADP
ijassa-570	212	18	the	the	DET
ijassa-570	212	19	parametric	parametric	ADJ
ijassa-570	212	20	classification	classification	NOUN
ijassa-570	212	21	performed	perform	VERB
ijassa-570	212	22	using	use	VERB
ijassa-570	212	23	recognition	recognition	NOUN
ijassa-570	212	24	algorithms	algorithm	NOUN
ijassa-570	212	25	(	(	PUNCT
ijassa-570	212	26	classification	classification	NOUN
ijassa-570	212	27	algorithms	algorithm	NOUN
ijassa-570	212	28	)	)	PUNCT
ijassa-570	212	29	.	.	PUNCT
ijassa-570	213	1	in	in	ADP
ijassa-570	213	2	a	a	DET
ijassa-570	213	3	certain	certain	ADJ
ijassa-570	213	4	sense	sense	NOUN
ijassa-570	213	5	,	,	PUNCT
ijassa-570	213	6	the	the	DET
ijassa-570	213	7	problem	problem	NOUN
ijassa-570	213	8	of	of	ADP
ijassa-570	213	9	fuzzy	fuzzy	ADJ
ijassa-570	213	10	classification	classification	NOUN
ijassa-570	213	11	is	be	AUX
ijassa-570	213	12	decided	decide	VERB
ijassa-570	213	13	by	by	ADP
ijassa-570	213	14	the	the	DET
ijassa-570	213	15	expert	expert	NOUN
ijassa-570	213	16	in	in	ADP
ijassa-570	213	17	the	the	DET
ijassa-570	213	18	subjective	subjective	ADJ
ijassa-570	213	19	evaluation	evaluation	NOUN
ijassa-570	213	20	of	of	ADP
ijassa-570	213	21	the	the	DET
ijassa-570	213	22	degree	degree	NOUN
ijassa-570	213	23	of	of	ADP
ijassa-570	213	24	similarity	similarity	NOUN
ijassa-570	213	25	of	of	ADP
ijassa-570	213	26	the	the	DET
ijassa-570	213	27	vector	vector	NOUN
ijassa-570	213	28	v	v	NOUN
ijassa-570	213	29	with	with	ADP
ijassa-570	213	30	the	the	DET
ijassa-570	213	31	standard	standard	NOUN
ijassa-570	213	32	of	of	ADP
ijassa-570	213	33	the	the	DET
ijassa-570	213	34	class	class	NOUN
ijassa-570	213	35	fi	fi	NOUN
ijassa-570	213	36	that	that	PRON
ijassa-570	213	37	he	he	PRON
ijassa-570	213	38	creates	create	VERB
ijassa-570	213	39	,	,	PUNCT
ijassa-570	213	40	that	that	ADV
ijassa-570	213	41	is	is	ADV
ijassa-570	213	42	,	,	PUNCT
ijassa-570	213	43	using	use	VERB
ijassa-570	213	44	pair	pair	NOUN
ijassa-570	213	45	comparisons	comparison	NOUN
ijassa-570	213	46	and	and	CCONJ
ijassa-570	213	47	a	a	DET
ijassa-570	213	48	previously	previously	ADV
ijassa-570	213	49	undefined	undefined	ADJ
ijassa-570	213	50	number	number	NOUN
ijassa-570	213	51	of	of	ADP
ijassa-570	213	52	classes	class	NOUN
ijassa-570	213	53	.	.	PUNCT
ijassa-570	214	1	the	the	DET
ijassa-570	214	2	task	task	NOUN
ijassa-570	214	3	of	of	ADP
ijassa-570	214	4	fuzzy	fuzzy	ADJ
ijassa-570	214	5	ordering	ordering	NOUN
ijassa-570	214	6	with	with	ADP
ijassa-570	214	7	this	this	DET
ijassa-570	214	8	approach	approach	NOUN
ijassa-570	214	9	is	be	AUX
ijassa-570	214	10	not	not	PART
ijassa-570	214	11	put	put	VERB
ijassa-570	214	12	at	at	ADV
ijassa-570	214	13	all	all	PRON
ijassa-570	214	14	we	we	PRON
ijassa-570	214	15	use	use	VERB
ijassa-570	214	16	the	the	DET
ijassa-570	214	17	ranking	ranking	NOUN
ijassa-570	214	18	of	of	ADP
ijassa-570	214	19	vectors	vector	NOUN
ijassa-570	214	20	by	by	ADP
ijassa-570	214	21	the	the	DET
ijassa-570	214	22	calculated	calculate	VERB
ijassa-570	214	23	cluster	cluster	NOUN
ijassa-570	214	24	membership	membership	NOUN
ijassa-570	214	25	coefficients	coefficient	NOUN
ijassa-570	214	26	.	.	PUNCT
ijassa-570	215	1	the	the	DET
ijassa-570	215	2	index	index	NOUN
ijassa-570	215	3	of	of	ADP
ijassa-570	215	4	blur	blur	NOUN
ijassa-570	215	5	of	of	ADP
ijassa-570	215	6	an	an	DET
ijassa-570	215	7	indistinct	indistinct	ADJ
ijassa-570	215	8	set	set	NOUN
ijassa-570	215	9	understood	understand	VERB
ijassa-570	215	10	as	as	ADP
ijassa-570	215	11	a	a	DET
ijassa-570	215	12	measure	measure	NOUN
ijassa-570	215	13	of	of	ADP
ijassa-570	215	14	internal	internal	ADJ
ijassa-570	215	15	uncertainty	uncertainty	NOUN
ijassa-570	215	16	can	can	AUX
ijassa-570	215	17	be	be	AUX
ijassa-570	215	18	used	use	VERB
ijassa-570	215	19	also	also	ADV
ijassa-570	215	20	for	for	ADP
ijassa-570	215	21	the	the	DET
ijassa-570	215	22	characteristic	characteristic	NOUN
ijassa-570	215	23	of	of	ADP
ijassa-570	215	24	compactness	compactness	NOUN
ijassa-570	215	25	of	of	ADP
ijassa-570	215	26	a	a	DET
ijassa-570	215	27	class	class	NOUN
ijassa-570	215	28	in	in	ADP
ijassa-570	215	29	the	the	DET
ijassa-570	215	30	parametric	parametric	ADJ
ijassa-570	215	31	space	space	NOUN
ijassa-570	215	32	and	and	CCONJ
ijassa-570	215	33	for	for	ADP
ijassa-570	215	34	the	the	DET
ijassa-570	215	35	evaluation	evaluation	NOUN
ijassa-570	215	36	of	of	ADP
ijassa-570	215	37	identifiability	identifiability	NOUN
ijassa-570	215	38	of	of	ADP
ijassa-570	215	39	vectors	vector	NOUN
ijassa-570	215	40	of	of	ADP
ijassa-570	215	41	j	j	PROPN
ijassa-570	215	42	-	-	PROPN
ijassa-570	215	43	the	the	PRON
ijassa-570	215	44	of	of	ADP
ijassa-570	215	45	a	a	DET
ijassa-570	215	46	class	class	NOUN
ijassa-570	215	47	in	in	ADP
ijassa-570	215	48	the	the	DET
ijassa-570	215	49	total	total	ADJ
ijassa-570	215	50	mass	mass	NOUN
ijassa-570	215	51	of	of	ADP
ijassa-570	215	52	vectors	vector	NOUN
ijassa-570	215	53	.	.	PUNCT
ijassa-570	216	1	in	in	ADP
ijassa-570	216	2	general	general	ADJ
ijassa-570	216	3	,	,	PUNCT
ijassa-570	216	4	the	the	DET
ijassa-570	216	5	device	device	NOUN
ijassa-570	216	6	of	of	ADP
ijassa-570	216	7	the	the	DET
ijassa-570	216	8	theory	theory	NOUN
ijassa-570	216	9	of	of	ADP
ijassa-570	216	10	indistinct	indistinct	ADJ
ijassa-570	216	11	sets	set	NOUN
ijassa-570	216	12	is	be	AUX
ijassa-570	216	13	intended	intend	VERB
ijassa-570	216	14	firstly	firstly	ADV
ijassa-570	216	15	for	for	ADP
ijassa-570	216	16	the	the	DET
ijassa-570	216	17	description	description	NOUN
ijassa-570	216	18	and	and	CCONJ
ijassa-570	216	19	the	the	DET
ijassa-570	216	20	analysis	analysis	NOUN
ijassa-570	216	21	of	of	ADP
ijassa-570	216	22	a	a	DET
ijassa-570	216	23	static	static	ADJ
ijassa-570	216	24	situation	situation	NOUN
ijassa-570	216	25	when	when	SCONJ
ijassa-570	216	26	there	there	PRON
ijassa-570	216	27	is	be	VERB
ijassa-570	216	28	some	some	PRON
ijassa-570	216	29	fixed	fix	VERB
ijassa-570	216	30	in	in	ADP
ijassa-570	216	31	the	the	DET
ijassa-570	216	32	analyzed	analyze	VERB
ijassa-570	216	33	condition	condition	NOUN
ijassa-570	216	34	of	of	ADP
ijassa-570	216	35	the	the	DET
ijassa-570	216	36	sets	set	NOUN
ijassa-570	216	37	and	and	CCONJ
ijassa-570	216	38	an	an	DET
ijassa-570	216	39	evaluation	evaluation	NOUN
ijassa-570	216	40	conglomeration	conglomeration	NOUN
ijassa-570	216	41	.	.	PUNCT
ijassa-570	217	1	for	for	ADP
ijassa-570	217	2	full	full	ADJ
ijassa-570	217	3	formalization	formalization	NOUN
ijassa-570	217	4	of	of	ADP
ijassa-570	217	5	the	the	DET
ijassa-570	217	6	procedure	procedure	NOUN
ijassa-570	217	7	of	of	ADP
ijassa-570	217	8	objectifying	objectifying	NOUN
ijassa-570	217	9	it	it	PRON
ijassa-570	217	10	is	be	AUX
ijassa-570	217	11	necessary	necessary	ADJ
ijassa-570	217	12	to	to	PART
ijassa-570	217	13	enter	enter	VERB
ijassa-570	217	14	dynamic	dynamic	ADJ
ijassa-570	217	15	constructions	construction	NOUN
ijassa-570	217	16	initially	initially	ADV
ijassa-570	217	17	.	.	PUNCT
ijassa-570	218	1	for	for	ADP
ijassa-570	218	2	the	the	DET
ijassa-570	218	3	first	first	ADJ
ijassa-570	218	4	step	step	NOUN
ijassa-570	218	5	it	it	PRON
ijassa-570	218	6	is	be	AUX
ijassa-570	218	7	possible	possible	ADJ
ijassa-570	218	8	to	to	PART
ijassa-570	218	9	use	use	VERB
ijassa-570	218	10	introduction	introduction	NOUN
ijassa-570	218	11	of	of	ADP
ijassa-570	218	12	such	such	ADJ
ijassa-570	218	13	concept	concept	NOUN
ijassa-570	218	14	as	as	ADP
ijassa-570	218	15	not	not	PART
ijassa-570	218	16	hardened	harden	VERB
ijassa-570	218	17	set	set	NOUN
ijassa-570	218	18	(	(	PUNCT
ijassa-570	218	19	a	a	DET
ijassa-570	218	20	dynamic	dynamic	ADJ
ijassa-570	218	21	set	set	NOUN
ijassa-570	218	22	)	)	PUNCT
ijassa-570	218	23	which	which	PRON
ijassa-570	218	24	in	in	ADP
ijassa-570	218	25	the	the	DET
ijassa-570	218	26	course	course	NOUN
ijassa-570	218	27	of	of	ADP
ijassa-570	218	28	the	the	DET
ijassa-570	218	29	development	development	NOUN
ijassa-570	218	30	changes	change	VERB
ijassa-570	218	31	composition	composition	NOUN
ijassa-570	218	32	,	,	PUNCT
ijassa-570	218	33	power	power	NOUN
ijassa-570	218	34	,	,	PUNCT
ijassa-570	218	35	etc	etc	X
ijassa-570	218	36	.	.	X
ijassa-570	219	1	in	in	ADP
ijassa-570	219	2	addition	addition	NOUN
ijassa-570	219	3	to	to	ADP
ijassa-570	219	4	the	the	DET
ijassa-570	219	5	known	know	VERB
ijassa-570	219	6	attributes	attribute	NOUN
ijassa-570	219	7	,	,	PUNCT
ijassa-570	219	8	we	we	PRON
ijassa-570	219	9	add	add	VERB
ijassa-570	219	10	here	here	ADV
ijassa-570	219	11	such	such	DET
ijassa-570	219	12	a	a	DET
ijassa-570	219	13	notion	notion	NOUN
ijassa-570	219	14	as	as	ADP
ijassa-570	219	15	the	the	DET
ijassa-570	219	16	d	d	NOUN
ijassa-570	219	17	-	-	NOUN
ijassa-570	219	18	index	index	NOUN
ijassa-570	219	19	(	(	PUNCT
ijassa-570	219	20	dynamic	dynamic	ADJ
ijassa-570	219	21	index	index	NOUN
ijassa-570	219	22	)	)	PUNCT
ijassa-570	219	23	of	of	ADP
ijassa-570	219	24	a	a	DET
ijassa-570	219	25	set	set	NOUN
ijassa-570	219	26	.	.	PUNCT
ijassa-570	220	1	in	in	ADP
ijassa-570	220	2	the	the	DET
ijassa-570	220	3	simplest	simple	ADJ
ijassa-570	220	4	case	case	NOUN
ijassa-570	220	5	,	,	PUNCT
ijassa-570	220	6	the	the	DET
ijassa-570	220	7	d	d	NOUN
ijassa-570	220	8	-	-	PUNCT
ijassa-570	220	9	index	index	NOUN
ijassa-570	220	10	is	be	AUX
ijassa-570	220	11	discrete	discrete	ADJ
ijassa-570	220	12	,	,	PUNCT
ijassa-570	220	13	reflects	reflect	VERB
ijassa-570	220	14	a	a	DET
ijassa-570	220	15	step	step	NOUN
ijassa-570	220	16	or	or	CCONJ
ijassa-570	220	17	iteration	iteration	NOUN
ijassa-570	220	18	in	in	ADP
ijassa-570	220	19	the	the	DET
ijassa-570	220	20	dynamic	dynamic	ADJ
ijassa-570	220	21	process	process	NOUN
ijassa-570	220	22	of	of	ADP
ijassa-570	220	23	adjusting	adjust	VERB
ijassa-570	220	24	the	the	DET
ijassa-570	220	25	settings	setting	NOUN
ijassa-570	220	26	(	(	PUNCT
ijassa-570	220	27	in	in	ADP
ijassa-570	220	28	our	our	PRON
ijassa-570	220	29	case	case	NOUN
ijassa-570	220	30	iteration	iteration	NOUN
ijassa-570	220	31	in	in	ADP
ijassa-570	220	32	the	the	DET
ijassa-570	220	33	objectifying	objectifying	ADJ
ijassa-570	220	34	procedure	procedure	NOUN
ijassa-570	220	35	for	for	ADP
ijassa-570	220	36	clustering	cluster	VERB
ijassa-570	220	37	multi	multi	ADJ
ijassa-570	220	38	-	-	ADJ
ijassa-570	220	39	parameter	parameter	ADJ
ijassa-570	220	40	objects	object	NOUN
ijassa-570	220	41	according	accord	VERB
ijassa-570	220	42	to	to	ADP
ijassa-570	220	43	expert	expert	NOUN
ijassa-570	220	44	estimates	estimate	NOUN
ijassa-570	220	45	)	)	PUNCT
ijassa-570	220	46	.	.	PUNCT
ijassa-570	221	1	while	while	SCONJ
ijassa-570	221	2	fixing	fix	VERB
ijassa-570	221	3	the	the	DET
ijassa-570	221	4	value	value	NOUN
ijassa-570	221	5	of	of	ADP
ijassa-570	221	6	the	the	DET
ijassa-570	221	7	d	d	PROPN
ijassa-570	221	8	-	-	NOUN
ijassa-570	221	9	index	index	NOUN
ijassa-570	221	10	,	,	PUNCT
ijassa-570	221	11	that	that	PRON
ijassa-570	221	12	is	be	AUX
ijassa-570	221	13	when	when	SCONJ
ijassa-570	221	14	reviewing	review	VERB
ijassa-570	221	15	the	the	DET
ijassa-570	221	16	recorded	record	VERB
ijassa-570	221	17	status	status	NOUN
ijassa-570	221	18	at	at	ADP
ijassa-570	221	19	a	a	DET
ijassa-570	221	20	certain	certain	ADJ
ijassa-570	221	21	stage	stage	NOUN
ijassa-570	221	22	of	of	ADP
ijassa-570	221	23	objectifying	objectifying	ADJ
ijassa-570	221	24	,	,	PUNCT
ijassa-570	221	25	the	the	DET
ijassa-570	221	26	situation	situation	NOUN
ijassa-570	221	27	enters	enter	VERB
ijassa-570	221	28	the	the	DET
ijassa-570	221	29	standard	standard	ADJ
ijassa-570	221	30	course	course	NOUN
ijassa-570	221	31	for	for	ADP
ijassa-570	221	32	which	which	PRON
ijassa-570	221	33	the	the	DET
ijassa-570	221	34	developed	develop	VERB
ijassa-570	221	35	mathematical	mathematical	ADJ
ijassa-570	221	36	apparatus	apparatus	NOUN
ijassa-570	221	37	is	be	AUX
ijassa-570	221	38	available	available	ADJ
ijassa-570	221	39	.	.	PUNCT
ijassa-570	222	1	there	there	PRON
ijassa-570	222	2	are	be	VERB
ijassa-570	222	3	some	some	DET
ijassa-570	222	4	known	know	VERB
ijassa-570	222	5	precedents	precedent	NOUN
ijassa-570	222	6	of	of	ADP
ijassa-570	222	7	the	the	DET
ijassa-570	222	8	use	use	NOUN
ijassa-570	222	9	of	of	ADP
ijassa-570	222	10	d	d	NOUN
ijassa-570	222	11	-	-	NOUN
ijassa-570	222	12	index	index	NOUN
ijassa-570	222	13	,	,	PUNCT
ijassa-570	222	14	for	for	ADP
ijassa-570	222	15	example	example	NOUN
ijassa-570	222	16	,	,	PUNCT
ijassa-570	222	17	in	in	ADP
ijassa-570	222	18	the	the	DET
ijassa-570	222	19	methods	method	NOUN
ijassa-570	222	20	of	of	ADP
ijassa-570	222	21	genetic	genetic	ADJ
ijassa-570	222	22	optimization	optimization	NOUN
ijassa-570	222	23	developing	develop	VERB
ijassa-570	222	24	j.	j.	PROPN
ijassa-570	222	25	holland	holland	PROPN
ijassa-570	222	26	's	's	PART
ijassa-570	222	27	ideas	idea	NOUN
ijassa-570	222	28	[	[	X
ijassa-570	222	29	3	3	NUM
ijassa-570	222	30	]	]	PUNCT
ijassa-570	222	31	.	.	PUNCT
ijassa-570	223	1	its	its	PRON
ijassa-570	223	2	presence	presence	NOUN
ijassa-570	223	3	is	be	AUX
ijassa-570	223	4	also	also	ADV
ijassa-570	223	5	tracked	track	VERB
ijassa-570	223	6	in	in	ADP
ijassa-570	223	7	the	the	DET
ijassa-570	223	8	concept	concept	NOUN
ijassa-570	223	9	of	of	ADP
ijassa-570	223	10	the	the	DET
ijassa-570	223	11	iterative	iterative	NOUN
ijassa-570	223	12	sets	set	NOUN
ijassa-570	223	13	[	[	X
ijassa-570	223	14	8	8	NUM
ijassa-570	223	15	]	]	PUNCT
ijassa-570	223	16	which	which	PRON
ijassa-570	223	17	are	be	AUX
ijassa-570	223	18	a	a	DET
ijassa-570	223	19	special	special	ADJ
ijassa-570	223	20	case	case	NOUN
ijassa-570	223	21	of	of	ADP
ijassa-570	223	22	not	not	PART
ijassa-570	223	23	hardened	harden	VERB
ijassa-570	223	24	(	(	PUNCT
ijassa-570	223	25	dynamic	dynamic	ADJ
ijassa-570	223	26	)	)	PUNCT
ijassa-570	223	27	sets	set	NOUN
ijassa-570	223	28	.	.	PUNCT
ijassa-570	224	1	for	for	ADP
ijassa-570	224	2	the	the	DET
ijassa-570	224	3	description	description	NOUN
ijassa-570	224	4	and	and	CCONJ
ijassa-570	224	5	the	the	DET
ijassa-570	224	6	analysis	analysis	NOUN
ijassa-570	224	7	of	of	ADP
ijassa-570	224	8	the	the	DET
ijassa-570	224	9	procedure	procedure	NOUN
ijassa-570	224	10	of	of	ADP
ijassa-570	224	11	objectifying	objectifying	NOUN
ijassa-570	224	12	in	in	ADP
ijassa-570	224	13	this	this	DET
ijassa-570	224	14	case	case	NOUN
ijassa-570	224	15	it	it	PRON
ijassa-570	224	16	is	be	AUX
ijassa-570	224	17	necessary	necessary	ADJ
ijassa-570	224	18	to	to	PART
ijassa-570	224	19	enter	enter	VERB
ijassa-570	224	20	such	such	ADJ
ijassa-570	224	21	concepts	concept	NOUN
ijassa-570	224	22	as	as	ADP
ijassa-570	224	23	a	a	DET
ijassa-570	224	24	conditionally	conditionally	NOUN
ijassa-570	224	25	of	of	ADP
ijassa-570	224	26	a	a	DET
ijassa-570	224	27	set	set	NOUN
ijassa-570	224	28	,	,	PUNCT
ijassa-570	224	29	degeneration	degeneration	NOUN
ijassa-570	224	30	of	of	ADP
ijassa-570	224	31	a	a	DET
ijassa-570	224	32	set	set	NOUN
ijassa-570	224	33	,	,	PUNCT
ijassa-570	224	34	stability	stability	NOUN
ijassa-570	224	35	of	of	ADP
ijassa-570	224	36	presence	presence	NOUN
ijassa-570	224	37	of	of	ADP
ijassa-570	224	38	elements	element	NOUN
ijassa-570	224	39	it	it	PRON
ijassa-570	224	40	is	be	AUX
ijassa-570	224	41	also	also	ADV
ijassa-570	224	42	possible	possible	ADJ
ijassa-570	224	43	to	to	PART
ijassa-570	224	44	use	use	VERB
ijassa-570	224	45	such	such	ADJ
ijassa-570	224	46	analytics	analytic	NOUN
ijassa-570	224	47	as	as	ADP
ijassa-570	224	48	convergence	convergence	NOUN
ijassa-570	224	49	of	of	ADP
ijassa-570	224	50	procedures	procedure	NOUN
ijassa-570	224	51	,	,	PUNCT
ijassa-570	224	52	for	for	ADP
ijassa-570	224	53	example	example	NOUN
ijassa-570	224	54	,	,	PUNCT
ijassa-570	224	55	aspiration	aspiration	NOUN
ijassa-570	224	56	of	of	ADP
ijassa-570	224	57	the	the	DET
ijassa-570	224	58	power	power	NOUN
ijassa-570	224	59	of	of	ADP
ijassa-570	224	60	a	a	DET
ijassa-570	224	61	set	set	NOUN
ijassa-570	224	62	in	in	ADP
ijassa-570	224	63	the	the	DET
ijassa-570	224	64	course	course	NOUN
ijassa-570	224	65	of	of	ADP
ijassa-570	224	66	its	its	PRON
ijassa-570	224	67	adjustment	adjustment	NOUN
ijassa-570	224	68	to	to	ADP
ijassa-570	224	69	a	a	DET
ijassa-570	224	70	certain	certain	ADJ
ijassa-570	224	71	value	value	NOUN
ijassa-570	224	72	,	,	PUNCT
ijassa-570	224	73	stability	stability	NOUN
ijassa-570	224	74	of	of	ADP
ijassa-570	224	75	a	a	DET
ijassa-570	224	76	set	set	NOUN
ijassa-570	224	77	concerning	concern	VERB
ijassa-570	224	78	the	the	DET
ijassa-570	224	79	nomenclature	nomenclature	NOUN
ijassa-570	224	80	of	of	ADP
ijassa-570	224	81	elements	element	NOUN
ijassa-570	224	82	etc	etc	X
ijassa-570	224	83	.	.	X
ijassa-570	224	84	application	application	NOUN
ijassa-570	224	85	of	of	ADP
ijassa-570	224	86	algorithms	algorithm	NOUN
ijassa-570	224	87	of	of	ADP
ijassa-570	224	88	objectifying	objectifying	ADJ
ijassa-570	224	89	expert	expert	NOUN
ijassa-570	224	90	clustering	cluster	VERB
ijassa-570	224	91	109	109	NUM
ijassa-570	224	92	copyright	copyright	NOUN
ijassa-570	224	93	©	©	PROPN
ijassa-570	224	94	2018	2018	NUM
ijassa-570	224	95	assa	assa	NOUN
ijassa-570	224	96	.	.	PUNCT
ijassa-570	225	1	adv	adv	PROPN
ijassa-570	225	2	.	.	PUNCT
ijassa-570	226	1	in	in	ADP
ijassa-570	226	2	systems	system	NOUN
ijassa-570	226	3	science	science	NOUN
ijassa-570	226	4	and	and	CCONJ
ijassa-570	226	5	appl	appl	NOUN
ijassa-570	226	6	.	.	PUNCT
ijassa-570	227	1	(	(	PUNCT
ijassa-570	227	2	2018	2018	NUM
ijassa-570	227	3	)	)	PUNCT
ijassa-570	227	4	5	5	NUM
ijassa-570	227	5	.	.	PUNCT
ijassa-570	227	6	conclusion	conclusion	NOUN
ijassa-570	227	7	there	there	PRON
ijassa-570	227	8	are	be	VERB
ijassa-570	227	9	works	work	NOUN
ijassa-570	227	10	on	on	ADP
ijassa-570	227	11	the	the	DET
ijassa-570	227	12	objectifying	objectifying	NOUN
ijassa-570	227	13	of	of	ADP
ijassa-570	227	14	expert	expert	ADJ
ijassa-570	227	15	assessments	assessment	NOUN
ijassa-570	227	16	[	[	X
ijassa-570	227	17	9	9	NUM
ijassa-570	227	18	]	]	PUNCT
ijassa-570	227	19	.	.	PUNCT
ijassa-570	228	1	procedures	procedure	NOUN
ijassa-570	228	2	were	be	AUX
ijassa-570	228	3	developed	develop	VERB
ijassa-570	228	4	to	to	PART
ijassa-570	228	5	clarify	clarify	VERB
ijassa-570	228	6	the	the	DET
ijassa-570	228	7	expert	expert	ADJ
ijassa-570	228	8	quality	quality	NOUN
ijassa-570	228	9	ratings	rating	NOUN
ijassa-570	228	10	of	of	ADP
ijassa-570	228	11	one	one	NUM
ijassa-570	228	12	group	group	NOUN
ijassa-570	228	13	of	of	ADP
ijassa-570	228	14	objects	object	NOUN
ijassa-570	228	15	,	,	PUNCT
ijassa-570	228	16	displayed	display	VERB
ijassa-570	228	17	in	in	ADP
ijassa-570	228	18	rank	rank	NOUN
ijassa-570	228	19	scales	scale	NOUN
ijassa-570	228	20	.	.	PUNCT
ijassa-570	229	1	it	it	PRON
ijassa-570	229	2	should	should	AUX
ijassa-570	229	3	be	be	AUX
ijassa-570	229	4	noted	note	VERB
ijassa-570	229	5	that	that	SCONJ
ijassa-570	229	6	for	for	ADP
ijassa-570	229	7	the	the	DET
ijassa-570	229	8	objectifying	objectifying	NOUN
ijassa-570	229	9	of	of	ADP
ijassa-570	229	10	expert	expert	NOUN
ijassa-570	229	11	assessments	assessment	NOUN
ijassa-570	229	12	,	,	PUNCT
ijassa-570	229	13	it	it	PRON
ijassa-570	229	14	is	be	AUX
ijassa-570	229	15	possible	possible	ADJ
ijassa-570	229	16	to	to	PART
ijassa-570	229	17	use	use	VERB
ijassa-570	229	18	standard	standard	ADJ
ijassa-570	229	19	procedures	procedure	NOUN
ijassa-570	229	20	for	for	ADP
ijassa-570	229	21	processing	processing	NOUN
ijassa-570	229	22	estimates	estimate	NOUN
ijassa-570	229	23	[	[	X
ijassa-570	229	24	4	4	NUM
ijassa-570	229	25	]	]	PUNCT
ijassa-570	229	26	.	.	PUNCT
ijassa-570	230	1	for	for	ADP
ijassa-570	230	2	example	example	NOUN
ijassa-570	230	3	:	:	PUNCT
ijassa-570	230	4	involving	involve	VERB
ijassa-570	230	5	a	a	DET
ijassa-570	230	6	sufficiently	sufficiently	ADV
ijassa-570	230	7	large	large	ADJ
ijassa-570	230	8	group	group	NOUN
ijassa-570	230	9	of	of	ADP
ijassa-570	230	10	experts	expert	NOUN
ijassa-570	230	11	;	;	PUNCT
ijassa-570	230	12	selection	selection	NOUN
ijassa-570	230	13	of	of	ADP
ijassa-570	230	14	the	the	DET
ijassa-570	230	15	most	most	ADV
ijassa-570	230	16	competent	competent	ADJ
ijassa-570	230	17	experts	expert	NOUN
ijassa-570	230	18	formation	formation	NOUN
ijassa-570	230	19	of	of	ADP
ijassa-570	230	20	balanced	balanced	ADJ
ijassa-570	230	21	assessments	assessment	NOUN
ijassa-570	230	22	from	from	ADP
ijassa-570	230	23	individual	individual	ADJ
ijassa-570	230	24	evaluators	evaluator	NOUN
ijassa-570	230	25	.	.	PUNCT
ijassa-570	231	1	the	the	DET
ijassa-570	231	2	developed	develop	VERB
ijassa-570	231	3	objectifying	objectifying	ADJ
ijassa-570	231	4	procedure	procedure	NOUN
ijassa-570	231	5	was	be	AUX
ijassa-570	231	6	used	use	VERB
ijassa-570	231	7	to	to	PART
ijassa-570	231	8	create	create	VERB
ijassa-570	231	9	algorithms	algorithm	NOUN
ijassa-570	231	10	for	for	ADP
ijassa-570	231	11	medical	medical	ADJ
ijassa-570	231	12	diagnostics	diagnostic	NOUN
ijassa-570	231	13	based	base	VERB
ijassa-570	231	14	on	on	ADP
ijassa-570	231	15	pulsed	pulse	VERB
ijassa-570	231	16	signals	signal	NOUN
ijassa-570	231	17	of	of	ADP
ijassa-570	231	18	the	the	DET
ijassa-570	231	19	radial	radial	ADJ
ijassa-570	231	20	artery	artery	NOUN
ijassa-570	231	21	.	.	PUNCT
ijassa-570	232	1	subjective	subjective	ADJ
ijassa-570	232	2	clustering	clustering	NOUN
ijassa-570	232	3	of	of	ADP
ijassa-570	232	4	the	the	DET
ijassa-570	232	5	shape	shape	NOUN
ijassa-570	232	6	of	of	ADP
ijassa-570	232	7	pulse	pulse	NOUN
ijassa-570	232	8	signals	signal	NOUN
ijassa-570	232	9	was	be	AUX
ijassa-570	232	10	used	use	VERB
ijassa-570	232	11	[	[	PUNCT
ijassa-570	232	12	10	10	NUM
ijassa-570	232	13	]	]	PUNCT
ijassa-570	232	14	.	.	PUNCT
ijassa-570	233	1	the	the	DET
ijassa-570	233	2	author	author	NOUN
ijassa-570	233	3	expresses	express	VERB
ijassa-570	233	4	gratitude	gratitude	NOUN
ijassa-570	233	5	to	to	ADP
ijassa-570	233	6	e.s	e.s	PROPN
ijassa-570	233	7	.	.	PROPN
ijassa-570	233	8	nesterova	nesterova	PROPN
ijassa-570	233	9	for	for	ADP
ijassa-570	233	10	assistance	assistance	NOUN
ijassa-570	233	11	in	in	ADP
ijassa-570	233	12	preparing	prepare	VERB
ijassa-570	233	13	materials	material	NOUN
ijassa-570	233	14	for	for	ADP
ijassa-570	233	15	publication	publication	NOUN
ijassa-570	233	16	.	.	PUNCT
ijassa-570	234	1	references	reference	NOUN
ijassa-570	234	2	[	[	X
ijassa-570	234	3	1	1	NUM
ijassa-570	234	4	]	]	PUNCT
ijassa-570	234	5	dorofeyuk	dorofeyuk	NOUN
ijassa-570	234	6	,	,	PUNCT
ijassa-570	234	7	y.a	y.a	PROPN
ijassa-570	234	8	.	.	PROPN
ijassa-570	234	9	,	,	PUNCT
ijassa-570	234	10	dorofeyuk	dorofeyuk	PROPN
ijassa-570	234	11	,	,	PUNCT
ijassa-570	234	12	a.a	a.a	PROPN
ijassa-570	234	13	.	.	PROPN
ijassa-570	234	14	,	,	PUNCT
ijassa-570	234	15	&	&	CCONJ
ijassa-570	234	16	pokrovskaya	pokrovskaya	PROPN
ijassa-570	234	17	,	,	PUNCT
ijassa-570	234	18	i.v	i.v	PROPN
ijassa-570	234	19	.	.	PUNCT
ijassa-570	235	1	(	(	PUNCT
ijassa-570	235	2	2013	2013	NUM
ijassa-570	235	3	)	)	PUNCT
ijassa-570	235	4	.	.	PUNCT
ijassa-570	236	1	the	the	DET
ijassa-570	236	2	expertanalytical	expertanalytical	ADJ
ijassa-570	236	3	forecasting	forecasting	NOUN
ijassa-570	236	4	model	model	NOUN
ijassa-570	236	5	in	in	ADP
ijassa-570	236	6	the	the	DET
ijassa-570	236	7	problem	problem	NOUN
ijassa-570	236	8	of	of	ADP
ijassa-570	236	9	railway	railway	NOUN
ijassa-570	236	10	track	track	NOUN
ijassa-570	236	11	facilities	facility	NOUN
ijassa-570	236	12	control	control	NOUN
ijassa-570	236	13	.	.	PUNCT
ijassa-570	237	1	proc	proc	PROPN
ijassa-570	237	2	.	.	PUNCT
ijassa-570	238	1	of	of	ADP
ijassa-570	238	2	the	the	DET
ijassa-570	238	3	ifac	ifac	NOUN
ijassa-570	238	4	conference	conference	NOUN
ijassa-570	238	5	on	on	ADP
ijassa-570	238	6	manufacturing	manufacturing	NOUN
ijassa-570	238	7	modelling	modelling	NOUN
ijassa-570	238	8	,	,	PUNCT
ijassa-570	238	9	management	management	NOUN
ijassa-570	238	10	and	and	CCONJ
ijassa-570	238	11	control	control	NOUN
ijassa-570	238	12	.	.	PUNCT
ijassa-570	239	1	st	st	PROPN
ijassa-570	239	2	.	.	PROPN
ijassa-570	239	3	peterburg	peterburg	PROPN
ijassa-570	239	4	,	,	PUNCT
ijassa-570	239	5	russia	russia	PROPN
ijassa-570	239	6	,	,	PUNCT
ijassa-570	239	7	1826	1826	NUM
ijassa-570	239	8	-	-	SYM
ijassa-570	239	9	1831	1831	NUM
ijassa-570	239	10	,	,	PUNCT
ijassa-570	239	11	[	[	X
ijassa-570	239	12	in	in	ADP
ijassa-570	239	13	russian	russian	NOUN
ijassa-570	239	14	]	]	PUNCT
ijassa-570	239	15	.	.	PUNCT
ijassa-570	240	1	[	[	X
ijassa-570	240	2	2	2	NUM
ijassa-570	240	3	]	]	X
ijassa-570	240	4	guchuk	guchuk	NOUN
ijassa-570	240	5	,	,	PUNCT
ijassa-570	240	6	v.v	v.v	PROPN
ijassa-570	240	7	.	.	PROPN
ijassa-570	240	8	(	(	PUNCT
ijassa-570	240	9	2015	2015	NUM
ijassa-570	240	10	)	)	PUNCT
ijassa-570	240	11	.	.	PUNCT
ijassa-570	241	1	the	the	DET
ijassa-570	241	2	technology	technology	NOUN
ijassa-570	241	3	of	of	ADP
ijassa-570	241	4	objectification	objectification	NOUN
ijassa-570	241	5	of	of	ADP
ijassa-570	241	6	expert	expert	NOUN
ijassa-570	241	7	clustering	clustering	NOUN
ijassa-570	241	8	of	of	ADP
ijassa-570	241	9	weakly	weakly	ADJ
ijassa-570	241	10	formalizable	formalizable	ADJ
ijassa-570	241	11	objects	object	NOUN
ijassa-570	241	12	,	,	PUNCT
ijassa-570	241	13	bulletin	bulletin	NOUN
ijassa-570	241	14	of	of	ADP
ijassa-570	241	15	the	the	DET
ijassa-570	241	16	usatu	usatu	NOUN
ijassa-570	241	17	,	,	PUNCT
ijassa-570	241	18	66	66	NUM
ijassa-570	241	19	(	(	PUNCT
ijassa-570	241	20	5	5	NUM
ijassa-570	241	21	)	)	PUNCT
ijassa-570	241	22	,	,	PUNCT
ijassa-570	241	23	149–154	149–154	NUM
ijassa-570	241	24	,	,	PUNCT
ijassa-570	241	25	[	[	X
ijassa-570	241	26	in	in	ADP
ijassa-570	241	27	russian	russian	NOUN
ijassa-570	241	28	]	]	PUNCT
ijassa-570	241	29	.	.	PUNCT
ijassa-570	242	1	[	[	X
ijassa-570	242	2	3	3	NUM
ijassa-570	242	3	]	]	X
ijassa-570	242	4	de	de	PROPN
ijassa-570	242	5	jong	jong	PROPN
ijassa-570	242	6	,	,	PUNCT
ijassa-570	242	7	k.a	k.a	PROPN
ijassa-570	242	8	.	.	PROPN
ijassa-570	242	9	(	(	PUNCT
ijassa-570	242	10	2007	2007	NUM
ijassa-570	242	11	)	)	PUNCT
ijassa-570	242	12	.	.	PUNCT
ijassa-570	243	1	introduction	introduction	NOUN
ijassa-570	243	2	to	to	ADP
ijassa-570	243	3	the	the	DET
ijassa-570	243	4	second	second	ADJ
ijassa-570	243	5	special	special	ADJ
ijassa-570	243	6	issue	issue	NOUN
ijassa-570	243	7	on	on	ADP
ijassa-570	243	8	genetic	genetic	ADJ
ijassa-570	243	9	algorithms	algorithm	NOUN
ijassa-570	243	10	,	,	PUNCT
ijassa-570	243	11	machine	machine	NOUN
ijassa-570	243	12	learning	learning	NOUN
ijassa-570	243	13	,	,	PUNCT
ijassa-570	243	14	5	5	NUM
ijassa-570	243	15	(	(	PUNCT
ijassa-570	243	16	4	4	NUM
ijassa-570	243	17	)	)	PUNCT
ijassa-570	243	18	,	,	PUNCT
ijassa-570	243	19	351–353	351–353	NUM
ijassa-570	243	20	.	.	PUNCT
ijassa-570	244	1	[	[	X
ijassa-570	244	2	4	4	NUM
ijassa-570	244	3	]	]	X
ijassa-570	244	4	gusev	gusev	NOUN
ijassa-570	244	5	,	,	PUNCT
ijassa-570	244	6	v.b	v.b	PROPN
ijassa-570	244	7	.	.	PROPN
ijassa-570	244	8	(	(	PUNCT
ijassa-570	244	9	2011	2011	NUM
ijassa-570	244	10	)	)	PUNCT
ijassa-570	244	11	.	.	PUNCT
ijassa-570	245	1	autonomous	autonomous	ADJ
ijassa-570	245	2	mechanism	mechanism	NOUN
ijassa-570	245	3	of	of	ADP
ijassa-570	245	4	adaptation	adaptation	NOUN
ijassa-570	245	5	the	the	DET
ijassa-570	245	6	data	data	NOUN
ijassa-570	245	7	processing	processing	NOUN
ijassa-570	245	8	system	system	NOUN
ijassa-570	245	9	to	to	ADP
ijassa-570	245	10	the	the	DET
ijassa-570	245	11	service	service	NOUN
ijassa-570	245	12	conditions	condition	NOUN
ijassa-570	245	13	.	.	PUNCT
ijassa-570	246	1	proc	proc	NOUN
ijassa-570	246	2	.	.	PUNCT
ijassa-570	247	1	of	of	ADP
ijassa-570	247	2	the	the	DET
ijassa-570	247	3	iciea	iciea	ADJ
ijassa-570	247	4	conf	conf	NOUN
ijassa-570	247	5	.	.	PUNCT
ijassa-570	248	1	beijing	beijing	PROPN
ijassa-570	248	2	,	,	PUNCT
ijassa-570	248	3	china	china	PROPN
ijassa-570	248	4	,	,	PUNCT
ijassa-570	248	5	753–757	753–757	NUM
ijassa-570	248	6	.	.	PUNCT
ijassa-570	249	1	[	[	X
ijassa-570	249	2	5	5	NUM
ijassa-570	249	3	]	]	X
ijassa-570	249	4	friedman	friedman	PROPN
ijassa-570	249	5	,	,	PUNCT
ijassa-570	249	6	j.	j.	PROPN
ijassa-570	249	7	(	(	PUNCT
ijassa-570	249	8	2001	2001	NUM
ijassa-570	249	9	)	)	PUNCT
ijassa-570	249	10	.	.	PUNCT
ijassa-570	250	1	greedy	greedy	ADJ
ijassa-570	250	2	function	function	NOUN
ijassa-570	250	3	approximation	approximation	NOUN
ijassa-570	250	4	:	:	PUNCT
ijassa-570	250	5	a	a	DET
ijassa-570	250	6	gradient	gradient	ADJ
ijassa-570	250	7	boosting	boost	VERB
ijassa-570	250	8	machine	machine	NOUN
ijassa-570	250	9	,	,	PUNCT
ijassa-570	250	10	annals	annal	NOUN
ijassa-570	250	11	of	of	ADP
ijassa-570	250	12	statistics	statistic	NOUN
ijassa-570	250	13	,	,	PUNCT
ijassa-570	250	14	29	29	NUM
ijassa-570	250	15	,	,	PUNCT
ijassa-570	250	16	1189–1232	1189–1232	NUM
ijassa-570	250	17	.	.	PUNCT
ijassa-570	251	1	[	[	X
ijassa-570	251	2	6	6	NUM
ijassa-570	251	3	]	]	X
ijassa-570	251	4	omidvar	omidvar	NOUN
ijassa-570	251	5	,	,	PUNCT
ijassa-570	251	6	o.	o.	PROPN
ijassa-570	251	7	&	&	CCONJ
ijassa-570	251	8	dayhoff	dayhoff	PROPN
ijassa-570	251	9	,	,	PUNCT
ijassa-570	251	10	j.	j.	PROPN
ijassa-570	251	11	(	(	PUNCT
ijassa-570	251	12	1998	1998	NUM
ijassa-570	251	13	)	)	PUNCT
ijassa-570	251	14	neural	neural	ADJ
ijassa-570	251	15	networks	network	NOUN
ijassa-570	251	16	and	and	CCONJ
ijassa-570	251	17	pattern	pattern	NOUN
ijassa-570	251	18	recognition	recognition	NOUN
ijassa-570	251	19	.	.	PUNCT
ijassa-570	252	1	new	new	PROPN
ijassa-570	252	2	york	york	PROPN
ijassa-570	252	3	:	:	PUNCT
ijassa-570	252	4	academic	academic	ADJ
ijassa-570	252	5	press	press	NOUN
ijassa-570	252	6	.	.	PUNCT
ijassa-570	253	1	[	[	X
ijassa-570	253	2	7	7	NUM
ijassa-570	253	3	]	]	SYM
ijassa-570	253	4	zadeh	zadeh	PROPN
ijassa-570	253	5	,	,	PUNCT
ijassa-570	253	6	l.	l.	PROPN
ijassa-570	253	7	a.	a.	PROPN
ijassa-570	253	8	(	(	PUNCT
ijassa-570	253	9	1965	1965	NUM
ijassa-570	253	10	)	)	PUNCT
ijassa-570	253	11	.	.	PUNCT
ijassa-570	254	1	fuzzy	fuzzy	ADJ
ijassa-570	254	2	sets	set	NOUN
ijassa-570	254	3	,	,	PUNCT
ijassa-570	254	4	information	information	NOUN
ijassa-570	254	5	and	and	CCONJ
ijassa-570	254	6	control	control	NOUN
ijassa-570	254	7	,	,	PUNCT
ijassa-570	254	8	8	8	NUM
ijassa-570	254	9	,	,	PUNCT
ijassa-570	254	10	338–353	338–353	NUM
ijassa-570	254	11	.	.	PUNCT
ijassa-570	255	1	[	[	X
ijassa-570	255	2	8	8	NUM
ijassa-570	255	3	]	]	PUNCT
ijassa-570	255	4	maddy	maddy	NOUN
ijassa-570	255	5	,	,	PUNCT
ijassa-570	255	6	p.	p.	NOUN
ijassa-570	255	7	(	(	PUNCT
ijassa-570	255	8	2007	2007	NUM
ijassa-570	255	9	)	)	PUNCT
ijassa-570	255	10	second	second	ADJ
ijassa-570	255	11	philosophy	philosophy	NOUN
ijassa-570	255	12	:	:	PUNCT
ijassa-570	255	13	a	a	DET
ijassa-570	255	14	naturalistic	naturalistic	ADJ
ijassa-570	255	15	method	method	NOUN
ijassa-570	255	16	.	.	PUNCT
ijassa-570	256	1	oxford	oxford	NOUN
ijassa-570	256	2	:	:	PUNCT
ijassa-570	256	3	oxford	oxford	PROPN
ijassa-570	256	4	university	university	PROPN
ijassa-570	256	5	press	press	NOUN
ijassa-570	256	6	.	.	PUNCT
ijassa-570	257	1	[	[	X
ijassa-570	257	2	9	9	NUM
ijassa-570	257	3	]	]	X
ijassa-570	257	4	kuznetsov	kuznetsov	NOUN
ijassa-570	257	5	,	,	PUNCT
ijassa-570	257	6	m.p	m.p	PROPN
ijassa-570	257	7	.	.	PROPN
ijassa-570	257	8	&	&	CCONJ
ijassa-570	257	9	strijov	strijov	PROPN
ijassa-570	257	10	,	,	PUNCT
ijassa-570	257	11	v.v	v.v	PROPN
ijassa-570	257	12	.	.	PROPN
ijassa-570	257	13	(	(	PUNCT
ijassa-570	257	14	2014	2014	NUM
ijassa-570	257	15	)	)	PUNCT
ijassa-570	257	16	.	.	PUNCT
ijassa-570	258	1	methods	method	NOUN
ijassa-570	258	2	of	of	ADP
ijassa-570	258	3	expert	expert	NOUN
ijassa-570	258	4	estimations	estimation	NOUN
ijassa-570	258	5	concordance	concordance	NOUN
ijassa-570	258	6	for	for	ADP
ijassa-570	258	7	integral	integral	ADJ
ijassa-570	258	8	quality	quality	NOUN
ijassa-570	258	9	estimation	estimation	NOUN
ijassa-570	258	10	,	,	PUNCT
ijassa-570	258	11	expert	expert	NOUN
ijassa-570	258	12	systems	system	NOUN
ijassa-570	258	13	with	with	ADP
ijassa-570	258	14	applications	application	NOUN
ijassa-570	258	15	,	,	PUNCT
ijassa-570	258	16	41	41	NUM
ijassa-570	258	17	(	(	PUNCT
ijassa-570	258	18	4	4	NUM
ijassa-570	258	19	)	)	PUNCT
ijassa-570	258	20	,	,	PUNCT
ijassa-570	258	21	1988–1996	1988–1996	NUM
ijassa-570	258	22	.	.	PUNCT
ijassa-570	259	1	[	[	X
ijassa-570	259	2	10	10	NUM
ijassa-570	259	3	]	]	PUNCT
ijassa-570	259	4	desova	desova	PROPN
ijassa-570	259	5	,	,	PUNCT
ijassa-570	259	6	a.a	a.a	PROPN
ijassa-570	259	7	.	.	PROPN
ijassa-570	259	8	,	,	PUNCT
ijassa-570	259	9	guchuk	guchuk	NOUN
ijassa-570	259	10	,	,	PUNCT
ijassa-570	259	11	v.v	v.v	PROPN
ijassa-570	259	12	.	.	PROPN
ijassa-570	259	13	&	&	CCONJ
ijassa-570	259	14	dorofeyuk	dorofeyuk	PROPN
ijassa-570	259	15	,	,	PUNCT
ijassa-570	259	16	a.a	a.a	PROPN
ijassa-570	259	17	.	.	PROPN
ijassa-570	259	18	(	(	PUNCT
ijassa-570	259	19	2014	2014	NUM
ijassa-570	259	20	)	)	PUNCT
ijassa-570	259	21	.	.	PUNCT
ijassa-570	260	1	a	a	DET
ijassa-570	260	2	new	new	ADJ
ijassa-570	260	3	approach	approach	NOUN
ijassa-570	260	4	to	to	ADP
ijassa-570	260	5	pulse	pulse	NOUN
ijassa-570	260	6	signal	signal	ADJ
ijassa-570	260	7	rhythmic	rhythmic	ADJ
ijassa-570	260	8	structure	structure	NOUN
ijassa-570	260	9	analysis	analysis	NOUN
ijassa-570	260	10	,	,	PUNCT
ijassa-570	260	11	international	international	ADJ
ijassa-570	260	12	journal	journal	NOUN
ijassa-570	260	13	of	of	ADP
ijassa-570	260	14	biomedical	biomedical	ADJ
ijassa-570	260	15	engineering	engineering	NOUN
ijassa-570	260	16	and	and	CCONJ
ijassa-570	260	17	technology	technology	NOUN
ijassa-570	260	18	,	,	PUNCT
ijassa-570	260	19	14	14	NUM
ijassa-570	260	20	,	,	PUNCT
ijassa-570	260	21	148–158	148–158	NUM
ijassa-570	260	22	.	.	PUNCT