id	sid	tid	token	lemma	pos
ajst-12720	1	1	academic	academic	ADJ
ajst-12720	1	2	journal	journal	NOUN
ajst-12720	1	3	of	of	ADP
ajst-12720	1	4	science	science	NOUN
ajst-12720	1	5	and	and	CCONJ
ajst-12720	1	6	technology	technology	NOUN
ajst-12720	1	7	issn	issn	NOUN
ajst-12720	1	8	:	:	PUNCT
ajst-12720	1	9	2771	2771	NUM
ajst-12720	1	10	-	-	SYM
ajst-12720	1	11	3032	3032	NUM
ajst-12720	1	12	|	|	NOUN
ajst-12720	1	13	vol	vol	NOUN
ajst-12720	1	14	.	.	PROPN
ajst-12720	2	1	7	7	NUM
ajst-12720	2	2	,	,	PUNCT
ajst-12720	2	3	no	no	INTJ
ajst-12720	2	4	.	.	NOUN
ajst-12720	2	5	3	3	NUM
ajst-12720	2	6	,	,	PUNCT
ajst-12720	2	7	2023	2023	NUM
ajst-12720	3	1	69	69	NUM
ajst-12720	3	2	automatic	automatic	ADJ
ajst-12720	3	3	pricing	pricing	NOUN
ajst-12720	3	4	and	and	CCONJ
ajst-12720	3	5	replenishment	replenishment	NOUN
ajst-12720	3	6	decision‐making	decision‐make	VERB
ajst-12720	3	7	for	for	ADP
ajst-12720	3	8	vegetable	vegetable	NOUN
ajst-12720	3	9	commodities	commodity	NOUN
ajst-12720	3	10	based	base	VERB
ajst-12720	3	11	on	on	ADP
ajst-12720	3	12	bi‐directional	bi‐directional	ADJ
ajst-12720	3	13	long	long	ADJ
ajst-12720	3	14	short‐term	short‐term	ADJ
ajst-12720	3	15	memory	memory	NOUN
ajst-12720	3	16	recurrent	recurrent	NOUN
ajst-12720	3	17	neural	neural	ADJ
ajst-12720	3	18	networks	network	NOUN
ajst-12720	3	19	and	and	CCONJ
ajst-12720	3	20	markov	markov	NOUN
ajst-12720	3	21	prediction	prediction	NOUN
ajst-12720	3	22	models	model	NOUN
ajst-12720	3	23	yirou	yirou	PROPN
ajst-12720	3	24	jiang1	jiang1	PROPN
ajst-12720	3	25	,	,	PUNCT
ajst-12720	3	26	*	*	PUNCT
ajst-12720	3	27	,	,	PUNCT
ajst-12720	3	28	xi	xi	X
ajst-12720	3	29	li1	li1	X
ajst-12720	3	30	1college	1college	NUM
ajst-12720	3	31	of	of	ADP
ajst-12720	3	32	physics	physics	NOUN
ajst-12720	3	33	and	and	CCONJ
ajst-12720	3	34	electronic	electronic	ADJ
ajst-12720	3	35	information	information	NOUN
ajst-12720	3	36	,	,	PUNCT
ajst-12720	3	37	yunnan	yunnan	PROPN
ajst-12720	3	38	normal	normal	ADJ
ajst-12720	3	39	university	university	PROPN
ajst-12720	3	40	,	,	PUNCT
ajst-12720	3	41	kunming	kunming	PROPN
ajst-12720	3	42	,	,	PUNCT
ajst-12720	3	43	china	china	PROPN
ajst-12720	3	44	*	*	PUNCT
ajst-12720	3	45	corresponding	correspond	VERB
ajst-12720	3	46	author	author	NOUN
ajst-12720	3	47	:	:	PUNCT
ajst-12720	3	48	2054087713@qq.com	2054087713@qq.com	NUM
ajst-12720	3	49	abstract	abstract	NOUN
ajst-12720	3	50	:	:	PUNCT
ajst-12720	3	51	reasonable	reasonable	ADJ
ajst-12720	3	52	pricing	pricing	NOUN
ajst-12720	3	53	and	and	CCONJ
ajst-12720	3	54	replenishment	replenishment	NOUN
ajst-12720	3	55	strategies	strategy	NOUN
ajst-12720	3	56	are	be	AUX
ajst-12720	3	57	crucial	crucial	ADJ
ajst-12720	3	58	for	for	ADP
ajst-12720	3	59	vegetable	vegetable	NOUN
ajst-12720	3	60	superstores	superstore	NOUN
ajst-12720	3	61	to	to	AUX
ajst-12720	3	62	maximise	maximise	VERB
ajst-12720	3	63	profitability	profitability	NOUN
ajst-12720	3	64	.	.	PUNCT
ajst-12720	4	1	in	in	ADP
ajst-12720	4	2	this	this	DET
ajst-12720	4	3	paper	paper	NOUN
ajst-12720	4	4	,	,	PUNCT
ajst-12720	4	5	we	we	PRON
ajst-12720	4	6	firstly	firstly	ADV
ajst-12720	4	7	analyse	analyse	VERB
ajst-12720	4	8	the	the	DET
ajst-12720	4	9	distribution	distribution	NOUN
ajst-12720	4	10	pattern	pattern	NOUN
ajst-12720	4	11	and	and	CCONJ
ajst-12720	4	12	interrelationship	interrelationship	NOUN
ajst-12720	4	13	of	of	ADP
ajst-12720	4	14	each	each	DET
ajst-12720	4	15	category	category	NOUN
ajst-12720	4	16	of	of	ADP
ajst-12720	4	17	vegetables	vegetable	NOUN
ajst-12720	4	18	through	through	ADP
ajst-12720	4	19	pearson	pearson	PROPN
ajst-12720	4	20	correlation	correlation	NOUN
ajst-12720	4	21	coefficient	coefficient	NOUN
ajst-12720	4	22	,	,	PUNCT
ajst-12720	4	23	and	and	CCONJ
ajst-12720	4	24	then	then	ADV
ajst-12720	4	25	use	use	VERB
ajst-12720	4	26	matlab	matlab	NOUN
ajst-12720	4	27	tools	tool	NOUN
ajst-12720	4	28	to	to	PART
ajst-12720	4	29	analyse	analyse	VERB
ajst-12720	4	30	and	and	CCONJ
ajst-12720	4	31	predict	predict	VERB
ajst-12720	4	32	the	the	DET
ajst-12720	4	33	data	datum	NOUN
ajst-12720	4	34	through	through	ADP
ajst-12720	4	35	the	the	DET
ajst-12720	4	36	time	time	NOUN
ajst-12720	4	37	series	series	PROPN
ajst-12720	4	38	analysis	analysis	NOUN
ajst-12720	4	39	of	of	ADP
ajst-12720	4	40	long	long	ADJ
ajst-12720	4	41	short	short	ADJ
ajst-12720	4	42	-	-	PUNCT
ajst-12720	4	43	term	term	NOUN
ajst-12720	4	44	memory	memory	NOUN
ajst-12720	4	45	recurrent	recurrent	NOUN
ajst-12720	4	46	neural	neural	ADJ
ajst-12720	4	47	networks	network	NOUN
ajst-12720	4	48	(	(	PUNCT
ajst-12720	4	49	lstm	lstm	NOUN
ajst-12720	4	50	)	)	PUNCT
ajst-12720	4	51	,	,	PUNCT
ajst-12720	4	52	and	and	CCONJ
ajst-12720	4	53	solve	solve	VERB
ajst-12720	4	54	the	the	DET
ajst-12720	4	55	optimal	optimal	ADJ
ajst-12720	4	56	daily	daily	ADJ
ajst-12720	4	57	replenishment	replenishment	NOUN
ajst-12720	4	58	and	and	CCONJ
ajst-12720	4	59	pricing	pricing	NOUN
ajst-12720	4	60	of	of	ADP
ajst-12720	4	61	each	each	DET
ajst-12720	4	62	category	category	NOUN
ajst-12720	4	63	in	in	ADP
ajst-12720	4	64	the	the	DET
ajst-12720	4	65	coming	come	VERB
ajst-12720	4	66	week	week	NOUN
ajst-12720	4	67	;	;	PUNCT
ajst-12720	4	68	lastly	lastly	ADV
ajst-12720	4	69	,	,	PUNCT
ajst-12720	4	70	we	we	PRON
ajst-12720	4	71	firstly	firstly	ADV
ajst-12720	4	72	use	use	VERB
ajst-12720	4	73	the	the	DET
ajst-12720	4	74	small	small	ADJ
ajst-12720	4	75	-	-	PUNCT
ajst-12720	4	76	period	period	NOUN
ajst-12720	4	77	sample	sample	NOUN
ajst-12720	4	78	prediction	prediction	NOUN
ajst-12720	4	79	method	method	NOUN
ajst-12720	4	80	,	,	PUNCT
ajst-12720	4	81	i.e.	i.e.	X
ajst-12720	4	82	,	,	PUNCT
ajst-12720	4	83	the	the	DET
ajst-12720	4	84	markov	markov	NOUN
ajst-12720	4	85	prediction	prediction	NOUN
ajst-12720	4	86	model	model	NOUN
ajst-12720	4	87	,	,	PUNCT
ajst-12720	4	88	to	to	PART
ajst-12720	4	89	analyse	analyse	VERB
ajst-12720	4	90	the	the	DET
ajst-12720	4	91	data	datum	NOUN
ajst-12720	4	92	,	,	PUNCT
ajst-12720	4	93	and	and	CCONJ
ajst-12720	4	94	then	then	ADV
ajst-12720	4	95	construct	construct	VERB
ajst-12720	4	96	a	a	DET
ajst-12720	4	97	multi	multi	ADJ
ajst-12720	4	98	-	-	ADJ
ajst-12720	4	99	objective	objective	ADJ
ajst-12720	4	100	planning	planning	NOUN
ajst-12720	4	101	model	model	NOUN
ajst-12720	4	102	to	to	PART
ajst-12720	4	103	further	far	ADV
ajst-12720	4	104	determine	determine	VERB
ajst-12720	4	105	the	the	DET
ajst-12720	4	106	optimal	optimal	ADJ
ajst-12720	4	107	pricing	pricing	NOUN
ajst-12720	4	108	strategy	strategy	NOUN
ajst-12720	4	109	.	.	PUNCT
ajst-12720	5	1	finally	finally	ADV
ajst-12720	5	2	,	,	PUNCT
ajst-12720	5	3	we	we	PRON
ajst-12720	5	4	use	use	VERB
ajst-12720	5	5	the	the	DET
ajst-12720	5	6	small	small	ADJ
ajst-12720	5	7	-	-	PUNCT
ajst-12720	5	8	period	period	NOUN
ajst-12720	5	9	sample	sample	NOUN
ajst-12720	5	10	prediction	prediction	NOUN
ajst-12720	5	11	method	method	NOUN
ajst-12720	5	12	,	,	PUNCT
ajst-12720	5	13	i.e.	i.e.	X
ajst-12720	5	14	,	,	PUNCT
ajst-12720	5	15	markov	markov	NOUN
ajst-12720	5	16	prediction	prediction	NOUN
ajst-12720	5	17	model	model	NOUN
ajst-12720	5	18	,	,	PUNCT
ajst-12720	5	19	to	to	PART
ajst-12720	5	20	analyse	analyse	VERB
ajst-12720	5	21	the	the	DET
ajst-12720	5	22	data	datum	NOUN
ajst-12720	5	23	and	and	CCONJ
ajst-12720	5	24	then	then	ADV
ajst-12720	5	25	construct	construct	VERB
ajst-12720	5	26	a	a	DET
ajst-12720	5	27	multiobjective	multiobjective	ADJ
ajst-12720	5	28	planning	planning	NOUN
ajst-12720	5	29	model	model	NOUN
ajst-12720	5	30	to	to	PART
ajst-12720	5	31	further	far	ADV
ajst-12720	5	32	determine	determine	VERB
ajst-12720	5	33	the	the	DET
ajst-12720	5	34	optimal	optimal	ADJ
ajst-12720	5	35	pricing	pricing	NOUN
ajst-12720	5	36	strategy	strategy	NOUN
ajst-12720	5	37	.	.	PUNCT
ajst-12720	6	1	keywords	keyword	NOUN
ajst-12720	6	2	:	:	PUNCT
ajst-12720	6	3	person	person	NOUN
ajst-12720	6	4	correlation	correlation	NOUN
ajst-12720	6	5	coefficient	coefficient	NOUN
ajst-12720	6	6	,	,	PUNCT
ajst-12720	6	7	bilstm	bilstm	NOUN
ajst-12720	6	8	model	model	NOUN
ajst-12720	6	9	,	,	PUNCT
ajst-12720	6	10	markov	markov	NOUN
ajst-12720	6	11	prediction	prediction	NOUN
ajst-12720	6	12	model	model	NOUN
ajst-12720	6	13	,	,	PUNCT
ajst-12720	6	14	particle	particle	NOUN
ajst-12720	6	15	swarm	swarm	NOUN
ajst-12720	6	16	optimisation	optimisation	NOUN
ajst-12720	6	17	algorithm	algorithm	NOUN
ajst-12720	6	18	.	.	PUNCT
ajst-12720	7	1	1	1	X
ajst-12720	7	2	.	.	X
ajst-12720	7	3	introduction	introduction	NOUN
ajst-12720	7	4	in	in	ADP
ajst-12720	7	5	the	the	DET
ajst-12720	7	6	supply	supply	NOUN
ajst-12720	7	7	-	-	PUNCT
ajst-12720	7	8	side	side	NOUN
ajst-12720	7	9	superstores	superstore	NOUN
ajst-12720	7	10	of	of	ADP
ajst-12720	7	11	the	the	DET
ajst-12720	7	12	vegetable	vegetable	NOUN
ajst-12720	7	13	industry	industry	NOUN
ajst-12720	7	14	,	,	PUNCT
ajst-12720	7	15	there	there	PRON
ajst-12720	7	16	are	be	VERB
ajst-12720	7	17	many	many	ADJ
ajst-12720	7	18	factors	factor	NOUN
ajst-12720	7	19	that	that	PRON
ajst-12720	7	20	affect	affect	VERB
ajst-12720	7	21	the	the	DET
ajst-12720	7	22	ultimate	ultimate	ADJ
ajst-12720	7	23	profitability	profitability	NOUN
ajst-12720	7	24	of	of	ADP
ajst-12720	7	25	the	the	DET
ajst-12720	7	26	superstores	superstore	NOUN
ajst-12720	7	27	:	:	PUNCT
ajst-12720	7	28	on	on	ADP
ajst-12720	7	29	the	the	DET
ajst-12720	7	30	one	one	NUM
ajst-12720	7	31	hand	hand	NOUN
ajst-12720	7	32	,	,	PUNCT
ajst-12720	7	33	there	there	PRON
ajst-12720	7	34	is	be	VERB
ajst-12720	7	35	a	a	DET
ajst-12720	7	36	certain	certain	ADJ
ajst-12720	7	37	relationship	relationship	NOUN
ajst-12720	7	38	between	between	ADP
ajst-12720	7	39	the	the	DET
ajst-12720	7	40	sales	sale	NOUN
ajst-12720	7	41	volume	volume	NOUN
ajst-12720	7	42	of	of	ADP
ajst-12720	7	43	vegetable	vegetable	NOUN
ajst-12720	7	44	goods	good	NOUN
ajst-12720	7	45	and	and	CCONJ
ajst-12720	7	46	the	the	DET
ajst-12720	7	47	time	time	NOUN
ajst-12720	7	48	of	of	ADP
ajst-12720	7	49	day	day	NOUN
ajst-12720	7	50	;	;	PUNCT
ajst-12720	7	51	on	on	ADP
ajst-12720	7	52	the	the	DET
ajst-12720	7	53	other	other	ADJ
ajst-12720	7	54	hand	hand	NOUN
ajst-12720	7	55	,	,	PUNCT
ajst-12720	7	56	the	the	DET
ajst-12720	7	57	final	final	ADJ
ajst-12720	7	58	sales	sale	NOUN
ajst-12720	7	59	pricing	pricing	NOUN
ajst-12720	7	60	of	of	ADP
ajst-12720	7	61	vegetables	vegetable	NOUN
ajst-12720	7	62	will	will	AUX
ajst-12720	7	63	be	be	AUX
ajst-12720	7	64	different	different	ADJ
ajst-12720	7	65	from	from	ADP
ajst-12720	7	66	month	month	NOUN
ajst-12720	7	67	to	to	ADP
ajst-12720	7	68	month	month	NOUN
ajst-12720	7	69	due	due	ADP
ajst-12720	7	70	to	to	ADP
ajst-12720	7	71	the	the	DET
ajst-12720	7	72	influence	influence	NOUN
ajst-12720	7	73	of	of	ADP
ajst-12720	7	74	the	the	DET
ajst-12720	7	75	quality	quality	NOUN
ajst-12720	7	76	of	of	ADP
ajst-12720	7	77	the	the	DET
ajst-12720	7	78	product	product	NOUN
ajst-12720	7	79	and	and	CCONJ
ajst-12720	7	80	so	so	ADV
ajst-12720	7	81	on	on	ADV
ajst-12720	7	82	.	.	PUNCT
ajst-12720	8	1	therefore	therefore	ADV
ajst-12720	8	2	,	,	PUNCT
ajst-12720	8	3	the	the	DET
ajst-12720	8	4	development	development	NOUN
ajst-12720	8	5	of	of	ADP
ajst-12720	8	6	a	a	DET
ajst-12720	8	7	relatively	relatively	ADV
ajst-12720	8	8	reasonable	reasonable	ADJ
ajst-12720	8	9	pricing	pricing	NOUN
ajst-12720	8	10	and	and	CCONJ
ajst-12720	8	11	replenishment	replenishment	NOUN
ajst-12720	8	12	strategy	strategy	NOUN
ajst-12720	8	13	is	be	AUX
ajst-12720	8	14	conducive	conducive	ADJ
ajst-12720	8	15	to	to	PART
ajst-12720	8	16	maximise	maximise	VERB
ajst-12720	8	17	the	the	DET
ajst-12720	8	18	profitability	profitability	NOUN
ajst-12720	8	19	of	of	ADP
ajst-12720	8	20	supermarkets	supermarket	NOUN
ajst-12720	8	21	[	[	X
ajst-12720	8	22	1	1	NUM
ajst-12720	8	23	]	]	PUNCT
ajst-12720	8	24	.	.	PUNCT
ajst-12720	9	1	in	in	ADP
ajst-12720	9	2	this	this	DET
ajst-12720	9	3	paper	paper	NOUN
ajst-12720	9	4	,	,	PUNCT
ajst-12720	9	5	we	we	PRON
ajst-12720	9	6	study	study	VERB
ajst-12720	9	7	the	the	DET
ajst-12720	9	8	sales	sale	NOUN
ajst-12720	9	9	data	datum	NOUN
ajst-12720	9	10	of	of	ADP
ajst-12720	9	11	a	a	DET
ajst-12720	9	12	superstore	superstore	NOUN
ajst-12720	9	13	over	over	ADP
ajst-12720	9	14	the	the	DET
ajst-12720	9	15	past	past	ADJ
ajst-12720	9	16	three	three	NUM
ajst-12720	9	17	years	year	NOUN
ajst-12720	9	18	,	,	PUNCT
ajst-12720	9	19	establish	establish	VERB
ajst-12720	9	20	a	a	DET
ajst-12720	9	21	mathematical	mathematical	ADJ
ajst-12720	9	22	model	model	NOUN
ajst-12720	9	23	,	,	PUNCT
ajst-12720	9	24	and	and	CCONJ
ajst-12720	9	25	solve	solve	VERB
ajst-12720	9	26	the	the	DET
ajst-12720	9	27	following	follow	VERB
ajst-12720	9	28	problems	problem	NOUN
ajst-12720	9	29	:	:	PUNCT
ajst-12720	9	30	firstly	firstly	ADV
ajst-12720	9	31	,	,	PUNCT
ajst-12720	9	32	we	we	PRON
ajst-12720	9	33	analyse	analyse	VERB
ajst-12720	9	34	the	the	DET
ajst-12720	9	35	distribution	distribution	NOUN
ajst-12720	9	36	pattern	pattern	NOUN
ajst-12720	9	37	of	of	ADP
ajst-12720	9	38	each	each	DET
ajst-12720	9	39	category	category	NOUN
ajst-12720	9	40	of	of	ADP
ajst-12720	9	41	vegetables	vegetable	NOUN
ajst-12720	9	42	and	and	CCONJ
ajst-12720	9	43	its	its	PRON
ajst-12720	9	44	relationship	relationship	NOUN
ajst-12720	9	45	with	with	ADP
ajst-12720	9	46	each	each	DET
ajst-12720	9	47	other	other	ADJ
ajst-12720	9	48	through	through	ADP
ajst-12720	9	49	the	the	DET
ajst-12720	9	50	pearson	pearson	PROPN
ajst-12720	9	51	correlation	correlation	NOUN
ajst-12720	9	52	coefficient	coefficient	NOUN
ajst-12720	9	53	method	method	NOUN
ajst-12720	9	54	;	;	PUNCT
ajst-12720	9	55	then	then	ADV
ajst-12720	9	56	,	,	PUNCT
ajst-12720	9	57	we	we	PRON
ajst-12720	9	58	use	use	VERB
ajst-12720	9	59	matlab	matlab	NOUN
ajst-12720	9	60	tools	tool	NOUN
ajst-12720	9	61	to	to	PART
ajst-12720	9	62	analyse	analyse	VERB
ajst-12720	9	63	and	and	CCONJ
ajst-12720	9	64	predict	predict	VERB
ajst-12720	9	65	the	the	DET
ajst-12720	9	66	data	datum	NOUN
ajst-12720	9	67	through	through	ADP
ajst-12720	9	68	the	the	DET
ajst-12720	9	69	time	time	NOUN
ajst-12720	9	70	series	series	PROPN
ajst-12720	9	71	analysis	analysis	NOUN
ajst-12720	9	72	of	of	ADP
ajst-12720	9	73	the	the	DET
ajst-12720	9	74	long	long	ADJ
ajst-12720	9	75	and	and	CCONJ
ajst-12720	9	76	short	short	ADJ
ajst-12720	9	77	-	-	PUNCT
ajst-12720	9	78	term	term	NOUN
ajst-12720	9	79	memory	memory	NOUN
ajst-12720	9	80	recurrent	recurrent	NOUN
ajst-12720	9	81	neural	neural	ADJ
ajst-12720	9	82	network	network	NOUN
ajst-12720	9	83	(	(	PUNCT
ajst-12720	9	84	lstm	lstm	PROPN
ajst-12720	9	85	)	)	PUNCT
ajst-12720	9	86	,	,	PUNCT
ajst-12720	9	87	so	so	SCONJ
ajst-12720	9	88	as	as	SCONJ
ajst-12720	9	89	to	to	PART
ajst-12720	9	90	solve	solve	VERB
ajst-12720	9	91	the	the	DET
ajst-12720	9	92	optimal	optimal	ADJ
ajst-12720	9	93	daily	daily	ADJ
ajst-12720	9	94	replenishment	replenishment	NOUN
ajst-12720	9	95	total	total	NOUN
ajst-12720	9	96	and	and	CCONJ
ajst-12720	9	97	pricing	pricing	NOUN
ajst-12720	9	98	of	of	ADP
ajst-12720	9	99	each	each	DET
ajst-12720	9	100	category	category	NOUN
ajst-12720	9	101	in	in	ADP
ajst-12720	9	102	the	the	DET
ajst-12720	9	103	coming	come	VERB
ajst-12720	9	104	week	week	NOUN
ajst-12720	9	105	.	.	PUNCT
ajst-12720	10	1	we	we	PRON
ajst-12720	10	2	use	use	VERB
ajst-12720	10	3	the	the	DET
ajst-12720	10	4	matlab	matlab	PROPN
ajst-12720	10	5	tool	tool	NOUN
ajst-12720	10	6	to	to	PART
ajst-12720	10	7	predict	predict	VERB
ajst-12720	10	8	the	the	DET
ajst-12720	10	9	total	total	ADJ
ajst-12720	10	10	daily	daily	ADJ
ajst-12720	10	11	replenishment	replenishment	NOUN
ajst-12720	10	12	and	and	CCONJ
ajst-12720	10	13	pricing	pricing	NOUN
ajst-12720	10	14	of	of	ADP
ajst-12720	10	15	each	each	DET
ajst-12720	10	16	category	category	NOUN
ajst-12720	10	17	in	in	ADP
ajst-12720	10	18	the	the	DET
ajst-12720	10	19	coming	come	VERB
ajst-12720	10	20	week	week	NOUN
ajst-12720	10	21	by	by	ADP
ajst-12720	10	22	time	time	NOUN
ajst-12720	10	23	series	series	PROPN
ajst-12720	10	24	analysis	analysis	NOUN
ajst-12720	10	25	.	.	PUNCT
ajst-12720	11	1	at	at	ADP
ajst-12720	11	2	the	the	DET
ajst-12720	11	3	same	same	ADJ
ajst-12720	11	4	time	time	NOUN
ajst-12720	11	5	,	,	PUNCT
ajst-12720	11	6	using	use	VERB
ajst-12720	11	7	the	the	DET
ajst-12720	11	8	daily	daily	ADJ
ajst-12720	11	9	replenishment	replenishment	NOUN
ajst-12720	11	10	total	total	NOUN
ajst-12720	11	11	as	as	ADP
ajst-12720	11	12	the	the	DET
ajst-12720	11	13	decision	decision	NOUN
ajst-12720	11	14	variable	variable	NOUN
ajst-12720	11	15	and	and	CCONJ
ajst-12720	11	16	the	the	DET
ajst-12720	11	17	supermarket	supermarket	NOUN
ajst-12720	11	18	revenue	revenue	NOUN
ajst-12720	11	19	as	as	ADP
ajst-12720	11	20	the	the	DET
ajst-12720	11	21	objective	objective	ADJ
ajst-12720	11	22	function	function	NOUN
ajst-12720	11	23	,	,	PUNCT
ajst-12720	11	24	we	we	PRON
ajst-12720	11	25	constructed	construct	VERB
ajst-12720	11	26	an	an	DET
ajst-12720	11	27	optimisation	optimisation	NOUN
ajst-12720	11	28	model	model	NOUN
ajst-12720	11	29	through	through	ADP
ajst-12720	11	30	the	the	DET
ajst-12720	11	31	method	method	NOUN
ajst-12720	11	32	of	of	ADP
ajst-12720	11	33	"	"	PUNCT
ajst-12720	11	34	cost	cost	NOUN
ajst-12720	11	35	-	-	PUNCT
ajst-12720	11	36	plus	plus	CCONJ
ajst-12720	11	37	pricing	pricing	NOUN
ajst-12720	11	38	"	"	PUNCT
ajst-12720	11	39	to	to	PART
ajst-12720	11	40	solve	solve	VERB
ajst-12720	11	41	the	the	DET
ajst-12720	11	42	daily	daily	ADJ
ajst-12720	11	43	replenishment	replenishment	NOUN
ajst-12720	11	44	total	total	NOUN
ajst-12720	11	45	and	and	CCONJ
ajst-12720	11	46	the	the	DET
ajst-12720	11	47	corresponding	correspond	VERB
ajst-12720	11	48	pricing	pricing	NOUN
ajst-12720	11	49	strategy	strategy	NOUN
ajst-12720	11	50	;	;	PUNCT
ajst-12720	11	51	finally	finally	ADV
ajst-12720	11	52	,	,	PUNCT
ajst-12720	11	53	we	we	PRON
ajst-12720	11	54	firstly	firstly	ADV
ajst-12720	11	55	used	use	VERB
ajst-12720	11	56	the	the	DET
ajst-12720	11	57	small	small	ADJ
ajst-12720	11	58	-	-	PUNCT
ajst-12720	11	59	period	period	NOUN
ajst-12720	11	60	sample	sample	NOUN
ajst-12720	11	61	prediction	prediction	NOUN
ajst-12720	11	62	method	method	NOUN
ajst-12720	11	63	,	,	PUNCT
ajst-12720	11	64	i.e.	i.e.	X
ajst-12720	11	65	,	,	PUNCT
ajst-12720	11	66	the	the	DET
ajst-12720	11	67	markov	markov	NOUN
ajst-12720	11	68	prediction	prediction	NOUN
ajst-12720	11	69	model	model	NOUN
ajst-12720	11	70	,	,	PUNCT
ajst-12720	11	71	to	to	PART
ajst-12720	11	72	analyse	analyse	VERB
ajst-12720	11	73	the	the	DET
ajst-12720	11	74	data	datum	NOUN
ajst-12720	11	75	,	,	PUNCT
ajst-12720	11	76	and	and	CCONJ
ajst-12720	11	77	then	then	ADV
ajst-12720	11	78	constructed	construct	VERB
ajst-12720	11	79	a	a	DET
ajst-12720	11	80	multi	multi	ADJ
ajst-12720	11	81	-	-	ADJ
ajst-12720	11	82	objective	objective	ADJ
ajst-12720	11	83	planning	planning	NOUN
ajst-12720	11	84	model	model	NOUN
ajst-12720	11	85	to	to	PART
ajst-12720	11	86	further	far	ADV
ajst-12720	11	87	formulate	formulate	VERB
ajst-12720	11	88	the	the	DET
ajst-12720	11	89	replenishment	replenishment	NOUN
ajst-12720	11	90	total	total	NOUN
ajst-12720	11	91	of	of	ADP
ajst-12720	11	92	individual	individual	ADJ
ajst-12720	11	93	products	product	NOUN
ajst-12720	11	94	.	.	PUNCT
ajst-12720	12	1	finally	finally	ADV
ajst-12720	12	2	,	,	PUNCT
ajst-12720	12	3	we	we	PRON
ajst-12720	12	4	use	use	VERB
ajst-12720	12	5	the	the	DET
ajst-12720	12	6	small	small	ADJ
ajst-12720	12	7	-	-	PUNCT
ajst-12720	12	8	period	period	NOUN
ajst-12720	12	9	sample	sample	NOUN
ajst-12720	12	10	prediction	prediction	NOUN
ajst-12720	12	11	method	method	NOUN
ajst-12720	12	12	,	,	PUNCT
ajst-12720	12	13	i.e.	i.e.	X
ajst-12720	12	14	markov	markov	NOUN
ajst-12720	12	15	prediction	prediction	NOUN
ajst-12720	12	16	model	model	NOUN
ajst-12720	12	17	,	,	PUNCT
ajst-12720	12	18	to	to	PART
ajst-12720	12	19	analyse	analyse	VERB
ajst-12720	12	20	the	the	DET
ajst-12720	12	21	data	datum	NOUN
ajst-12720	12	22	,	,	PUNCT
ajst-12720	12	23	and	and	CCONJ
ajst-12720	12	24	then	then	ADV
ajst-12720	12	25	construct	construct	VERB
ajst-12720	12	26	the	the	DET
ajst-12720	12	27	multi	multi	ADJ
ajst-12720	12	28	-	-	ADJ
ajst-12720	12	29	objective	objective	ADJ
ajst-12720	12	30	planning	planning	NOUN
ajst-12720	12	31	model	model	NOUN
ajst-12720	12	32	to	to	PART
ajst-12720	12	33	further	far	ADV
ajst-12720	12	34	formulate	formulate	VERB
ajst-12720	12	35	the	the	DET
ajst-12720	12	36	replenishment	replenishment	NOUN
ajst-12720	12	37	plan	plan	NOUN
ajst-12720	12	38	of	of	ADP
ajst-12720	12	39	individual	individual	ADJ
ajst-12720	12	40	products	product	NOUN
ajst-12720	12	41	,	,	PUNCT
ajst-12720	12	42	so	so	SCONJ
ajst-12720	12	43	as	as	SCONJ
ajst-12720	12	44	to	to	PART
ajst-12720	12	45	solve	solve	VERB
ajst-12720	12	46	the	the	DET
ajst-12720	12	47	total	total	ADJ
ajst-12720	12	48	daily	daily	ADJ
ajst-12720	12	49	replenishment	replenishment	NOUN
ajst-12720	12	50	and	and	CCONJ
ajst-12720	12	51	the	the	DET
ajst-12720	12	52	corresponding	correspond	VERB
ajst-12720	12	53	pricing	pricing	NOUN
ajst-12720	12	54	strategy	strategy	NOUN
ajst-12720	12	55	.	.	PUNCT
ajst-12720	13	1	2	2	X
ajst-12720	13	2	.	.	X
ajst-12720	13	3	modelling	modelling	NOUN
ajst-12720	13	4	and	and	CCONJ
ajst-12720	13	5	solving	solve	VERB
ajst-12720	13	6	2.1	2.1	NUM
ajst-12720	13	7	.	.	PUNCT
ajst-12720	14	1	pearson	pearson	PROPN
ajst-12720	14	2	correlation	correlation	NOUN
ajst-12720	14	3	coefficient	coefficient	NOUN
ajst-12720	14	4	in	in	ADP
ajst-12720	14	5	statistics[2],pearson	statistics[2],pearson	PROPN
ajst-12720	14	6	correlation	correlation	NOUN
ajst-12720	14	7	coefficient	coefficient	NOUN
ajst-12720	14	8	,	,	PUNCT
ajst-12720	14	9	also	also	ADV
ajst-12720	14	10	known	know	VERB
ajst-12720	14	11	as	as	ADP
ajst-12720	14	12	ppmcc	ppmcc	NOUN
ajst-12720	14	13	or	or	CCONJ
ajst-12720	14	14	pccs	pccs	PROPN
ajst-12720	14	15	,	,	PUNCT
ajst-12720	14	16	commonly	commonly	ADV
ajst-12720	14	17	expressed	express	VERB
ajst-12720	14	18	as	as	ADP
ajst-12720	14	19	r	r	NOUN
ajst-12720	14	20	or	or	CCONJ
ajst-12720	14	21	pearson'sr	pearson'sr	NOUN
ajst-12720	14	22	in	in	ADP
ajst-12720	14	23	articles	article	NOUN
ajst-12720	14	24	)	)	PUNCT
ajst-12720	14	25	is	be	AUX
ajst-12720	14	26	used	use	VERB
ajst-12720	14	27	to	to	PART
ajst-12720	14	28	measure	measure	VERB
ajst-12720	14	29	the	the	DET
ajst-12720	14	30	correlation	correlation	NOUN
ajst-12720	14	31	(	(	PUNCT
ajst-12720	14	32	linear	linear	ADJ
ajst-12720	14	33	correlation	correlation	NOUN
ajst-12720	14	34	)	)	PUNCT
ajst-12720	14	35	between	between	ADP
ajst-12720	14	36	two	two	NUM
ajst-12720	14	37	variables	variable	NOUN
ajst-12720	14	38	x	x	PUNCT
ajst-12720	14	39	and	and	CCONJ
ajst-12720	14	40	y	y	PROPN
ajst-12720	14	41	,	,	PUNCT
ajst-12720	14	42	with	with	ADP
ajst-12720	14	43	a	a	DET
ajst-12720	14	44	value	value	NOUN
ajst-12720	14	45	between	between	ADP
ajst-12720	14	46	-1	-1	PUNCT
ajst-12720	14	47	and	and	CCONJ
ajst-12720	14	48	1	1	X
ajst-12720	14	49	.	.	PUNCT
ajst-12720	15	1	the	the	DET
ajst-12720	15	2	coefficient	coefficient	NOUN
ajst-12720	15	3	is	be	AUX
ajst-12720	15	4	widely	widely	ADV
ajst-12720	15	5	used	use	VERB
ajst-12720	15	6	in	in	ADP
ajst-12720	15	7	the	the	DET
ajst-12720	15	8	natural	natural	ADJ
ajst-12720	15	9	sciences	science	NOUN
ajst-12720	15	10	to	to	PART
ajst-12720	15	11	measure	measure	VERB
ajst-12720	15	12	the	the	DET
ajst-12720	15	13	degree	degree	NOUN
ajst-12720	15	14	of	of	ADP
ajst-12720	15	15	correlation	correlation	NOUN
ajst-12720	15	16	between	between	ADP
ajst-12720	15	17	two	two	NUM
ajst-12720	15	18	variables	variable	NOUN
ajst-12720	15	19	,	,	PUNCT
ajst-12720	15	20	mainly	mainly	ADV
ajst-12720	15	21	to	to	PART
ajst-12720	15	22	measure	measure	VERB
ajst-12720	15	23	the	the	DET
ajst-12720	15	24	linear	linear	ADJ
ajst-12720	15	25	correlation	correlation	NOUN
ajst-12720	15	26	between	between	ADP
ajst-12720	15	27	variables	variable	NOUN
ajst-12720	15	28	.	.	PUNCT
ajst-12720	16	1	the	the	DET
ajst-12720	16	2	pearson	pearson	PROPN
ajst-12720	16	3	's	's	PART
ajst-12720	16	4	correlation	correlation	NOUN
ajst-12720	16	5	coefficient	coefficient	NOUN
ajst-12720	16	6	is	be	AUX
ajst-12720	16	7	calculated	calculate	VERB
ajst-12720	16	8	as	as	SCONJ
ajst-12720	16	9	follows	follow	VERB
ajst-12720	16	10	.	.	PUNCT
ajst-12720	17	1	r	r	NOUN
ajst-12720	17	2	,	,	PUNCT
ajst-12720	17	3	(	(	PUNCT
ajst-12720	17	4	1	1	X
ajst-12720	17	5	)	)	PUNCT
ajst-12720	17	6	𝑆	𝑆	PROPN
ajst-12720	17	7	∑	∑	PUNCT
ajst-12720	17	8	(	(	PUNCT
ajst-12720	17	9	2	2	X
ajst-12720	17	10	)	)	PUNCT
ajst-12720	17	11	𝑆	𝑆	PROPN
ajst-12720	17	12	∑	∑	PUNCT
ajst-12720	17	13	.	.	PUNCT
ajst-12720	18	1	(	(	PUNCT
ajst-12720	18	2	3	3	X
ajst-12720	18	3	)	)	PUNCT
ajst-12720	18	4	the	the	PRON
ajst-12720	18	5	closer	close	ADV
ajst-12720	18	6	the	the	DET
ajst-12720	18	7	correlation	correlation	NOUN
ajst-12720	18	8	coefficient	coefficient	NOUN
ajst-12720	18	9	is	be	AUX
ajst-12720	18	10	to	to	ADP
ajst-12720	18	11	1	1	NUM
ajst-12720	18	12	or	or	CCONJ
ajst-12720	18	13	-1	-1	ADP
ajst-12720	18	14	,	,	PUNCT
ajst-12720	18	15	the	the	PRON
ajst-12720	18	16	larger	large	ADJ
ajst-12720	18	17	the	the	DET
ajst-12720	18	18	absolute	absolute	ADJ
ajst-12720	18	19	value	value	NOUN
ajst-12720	18	20	of	of	ADP
ajst-12720	18	21	the	the	DET
ajst-12720	18	22	correlation	correlation	NOUN
ajst-12720	18	23	coefficient	coefficient	NOUN
ajst-12720	18	24	is	be	AUX
ajst-12720	18	25	,	,	PUNCT
ajst-12720	18	26	the	the	PRON
ajst-12720	18	27	stronger	strong	ADJ
ajst-12720	18	28	the	the	DET
ajst-12720	18	29	correlation	correlation	NOUN
ajst-12720	18	30	is	be	AUX
ajst-12720	18	31	;	;	PUNCT
ajst-12720	18	32	the	the	PRON
ajst-12720	18	33	closer	close	ADV
ajst-12720	18	34	the	the	DET
ajst-12720	18	35	correlation	correlation	NOUN
ajst-12720	18	36	coefficient	coefficient	NOUN
ajst-12720	18	37	is	be	AUX
ajst-12720	18	38	to	to	ADP
ajst-12720	18	39	0	0	NUM
ajst-12720	18	40	,	,	PUNCT
ajst-12720	18	41	the	the	PRON
ajst-12720	18	42	weaker	weak	ADJ
ajst-12720	18	43	the	the	DET
ajst-12720	18	44	correlation	correlation	NOUN
ajst-12720	18	45	is	be	AUX
ajst-12720	18	46	.	.	PUNCT
ajst-12720	19	1	the	the	DET
ajst-12720	19	2	pearson	pearson	PROPN
ajst-12720	19	3	correlation	correlation	NOUN
ajst-12720	19	4	coefficient	coefficient	NOUN
ajst-12720	19	5	between	between	ADP
ajst-12720	19	6	the	the	DET
ajst-12720	19	7	data	datum	NOUN
ajst-12720	19	8	of	of	ADP
ajst-12720	19	9	each	each	DET
ajst-12720	19	10	category	category	NOUN
ajst-12720	19	11	is	be	AUX
ajst-12720	19	12	then	then	ADV
ajst-12720	19	13	calculated	calculate	VERB
ajst-12720	19	14	,	,	PUNCT
ajst-12720	19	15	and	and	CCONJ
ajst-12720	19	16	in	in	ADP
ajst-12720	19	17	order	order	NOUN
ajst-12720	19	18	to	to	PART
ajst-12720	19	19	visualise	visualise	VERB
ajst-12720	19	20	the	the	DET
ajst-12720	19	21	structure	structure	NOUN
ajst-12720	19	22	of	of	ADP
ajst-12720	19	23	,	,	PUNCT
ajst-12720	19	24	the	the	DET
ajst-12720	19	25	70	70	NUM
ajst-12720	19	26	matrix	matrix	NOUN
ajst-12720	19	27	heat	heat	NOUN
ajst-12720	19	28	map	map	NOUN
ajst-12720	19	29	is	be	AUX
ajst-12720	19	30	plotted	plot	VERB
ajst-12720	19	31	as	as	SCONJ
ajst-12720	19	32	shown	show	VERB
ajst-12720	19	33	in	in	ADP
ajst-12720	19	34	figure	figure	NOUN
ajst-12720	19	35	1	1	NUM
ajst-12720	19	36	.	.	PUNCT
ajst-12720	20	1	figure	figure	NOUN
ajst-12720	20	2	1	1	NUM
ajst-12720	20	3	.	.	PUNCT
ajst-12720	20	4	matrix	matrix	NOUN
ajst-12720	20	5	heat	heat	NOUN
ajst-12720	20	6	map	map	VERB
ajst-12720	20	7	the	the	DET
ajst-12720	20	8	floral	floral	ADJ
ajst-12720	20	9	and	and	CCONJ
ajst-12720	20	10	foliage	foliage	NOUN
ajst-12720	20	11	category	category	NOUN
ajst-12720	20	12	showed	show	VERB
ajst-12720	20	13	a	a	DET
ajst-12720	20	14	strong	strong	ADJ
ajst-12720	20	15	correlation	correlation	NOUN
ajst-12720	20	16	with	with	ADP
ajst-12720	20	17	chilli	chilli	NOUN
ajst-12720	20	18	,	,	PUNCT
ajst-12720	20	19	aquatic	aquatic	ADJ
ajst-12720	20	20	roots	root	NOUN
ajst-12720	20	21	and	and	CCONJ
ajst-12720	20	22	edible	edible	ADJ
ajst-12720	20	23	mushrooms	mushroom	NOUN
ajst-12720	20	24	,	,	PUNCT
ajst-12720	20	25	while	while	SCONJ
ajst-12720	20	26	the	the	DET
ajst-12720	20	27	deep	deep	ADJ
ajst-12720	20	28	water	water	NOUN
ajst-12720	20	29	roots	root	NOUN
ajst-12720	20	30	and	and	CCONJ
ajst-12720	20	31	eggplant	eggplant	NOUN
ajst-12720	20	32	had	have	VERB
ajst-12720	20	33	a	a	DET
ajst-12720	20	34	weak	weak	ADJ
ajst-12720	20	35	correlation	correlation	NOUN
ajst-12720	20	36	,	,	PUNCT
ajst-12720	20	37	with	with	ADP
ajst-12720	20	38	an	an	DET
ajst-12720	20	39	overall	overall	ADJ
ajst-12720	20	40	negative	negative	ADJ
ajst-12720	20	41	linear	linear	ADJ
ajst-12720	20	42	correlation	correlation	NOUN
ajst-12720	20	43	now	now	ADV
ajst-12720	20	44	seen	see	VERB
ajst-12720	20	45	in	in	ADP
ajst-12720	20	46	the	the	DET
ajst-12720	20	47	amount	amount	NOUN
ajst-12720	20	48	of	of	ADP
ajst-12720	20	49	individual	individual	ADJ
ajst-12720	20	50	items	item	NOUN
ajst-12720	20	51	within	within	ADP
ajst-12720	20	52	the	the	DET
ajst-12720	20	53	same	same	ADJ
ajst-12720	20	54	category	category	NOUN
ajst-12720	20	55	.	.	PUNCT
ajst-12720	21	1	the	the	DET
ajst-12720	21	2	six	six	NUM
ajst-12720	21	3	categories	category	NOUN
ajst-12720	21	4	can	can	AUX
ajst-12720	21	5	be	be	AUX
ajst-12720	21	6	initially	initially	ADV
ajst-12720	21	7	divided	divide	VERB
ajst-12720	21	8	into	into	ADP
ajst-12720	21	9	two	two	NUM
ajst-12720	21	10	parts	part	NOUN
ajst-12720	21	11	,	,	PUNCT
ajst-12720	21	12	with	with	ADP
ajst-12720	21	13	the	the	DET
ajst-12720	21	14	five	five	NUM
ajst-12720	21	15	categories	category	NOUN
ajst-12720	21	16	of	of	ADP
ajst-12720	21	17	foliar	foliar	ADJ
ajst-12720	21	18	,	,	PUNCT
ajst-12720	21	19	floriferous	floriferous	ADJ
ajst-12720	21	20	,	,	PUNCT
ajst-12720	21	21	chilli	chilli	NOUN
ajst-12720	21	22	,	,	PUNCT
ajst-12720	21	23	edible	edible	ADJ
ajst-12720	21	24	mushrooms	mushroom	NOUN
ajst-12720	21	25	,	,	PUNCT
ajst-12720	21	26	and	and	CCONJ
ajst-12720	21	27	aquatic	aquatic	ADJ
ajst-12720	21	28	plants	plant	NOUN
ajst-12720	21	29	as	as	ADP
ajst-12720	21	30	one	one	NUM
ajst-12720	21	31	category	category	NOUN
ajst-12720	21	32	,	,	PUNCT
ajst-12720	21	33	possessing	possess	VERB
ajst-12720	21	34	more	more	ADJ
ajst-12720	21	35	than	than	ADP
ajst-12720	21	36	moderate	moderate	ADJ
ajst-12720	21	37	correlation	correlation	NOUN
ajst-12720	21	38	,	,	PUNCT
ajst-12720	21	39	while	while	SCONJ
ajst-12720	21	40	eggplant	eggplant	NOUN
ajst-12720	21	41	has	have	VERB
ajst-12720	21	42	a	a	DET
ajst-12720	21	43	weak	weak	ADJ
ajst-12720	21	44	correlation	correlation	NOUN
ajst-12720	21	45	with	with	ADP
ajst-12720	21	46	the	the	DET
ajst-12720	21	47	former	former	ADJ
ajst-12720	21	48	.	.	PROPN
ajst-12720	22	1	2.2	2.2	NUM
ajst-12720	22	2	.	.	PUNCT
ajst-12720	22	3	optimised	optimise	VERB
ajst-12720	22	4	and	and	CCONJ
ajst-12720	22	5	improved	improve	VERB
ajst-12720	22	6	lstm	lstm	NOUN
ajst-12720	22	7	model	model	NOUN
ajst-12720	22	8	based	base	VERB
ajst-12720	22	9	on	on	ADP
ajst-12720	22	10	wso	wso	PROPN
ajst-12720	22	11	white	white	PROPN
ajst-12720	22	12	shark	shark	NOUN
ajst-12720	22	13	algorithm	algorithm	NOUN
ajst-12720	22	14	the	the	DET
ajst-12720	22	15	formula	formula	NOUN
ajst-12720	22	16	for	for	ADP
ajst-12720	22	17	calculating	calculate	VERB
ajst-12720	22	18	total	total	ADJ
ajst-12720	22	19	sales	sale	NOUN
ajst-12720	22	20	and	and	CCONJ
ajst-12720	22	21	profit	profit	NOUN
ajst-12720	22	22	is	be	AUX
ajst-12720	22	23	as	as	SCONJ
ajst-12720	22	24	follows	follow	VERB
ajst-12720	22	25	:	:	PUNCT
ajst-12720	22	26	𝑆	𝑆	PROPN
ajst-12720	22	27	∑	∑	PUNCT
ajst-12720	22	28	𝑛	𝑛	DET
ajst-12720	22	29	∙	∙	PROPN
ajst-12720	22	30	𝑝	𝑝	PROPN
ajst-12720	22	31	(	(	PUNCT
ajst-12720	22	32	4	4	NUM
ajst-12720	22	33	)	)	PUNCT
ajst-12720	22	34	𝑆	𝑆	PROPN
ajst-12720	22	35	∑	∑	PUNCT
ajst-12720	22	36	𝑛	𝑛	DET
ajst-12720	22	37	∙	∙	PROPN
ajst-12720	22	38	𝑝	𝑝	PROPN
ajst-12720	22	39	𝑝	𝑝	PROPN
ajst-12720	22	40	(	(	PUNCT
ajst-12720	22	41	5	5	NUM
ajst-12720	22	42	)	)	PUNCT
ajst-12720	22	43	cost	cost	NOUN
ajst-12720	22	44	plus	plus	CCONJ
ajst-12720	22	45	percentage	percentage	NOUN
ajst-12720	22	46	𝛼	𝛼	NOUN
ajst-12720	22	47	1	1	NUM
ajst-12720	22	48	.	.	PUNCT
ajst-12720	23	1	here	here	ADV
ajst-12720	23	2	,	,	PUNCT
ajst-12720	23	3	𝑃	𝑃	PROPN
ajst-12720	23	4	is	be	AUX
ajst-12720	23	5	the	the	DET
ajst-12720	23	6	incoming	incoming	ADJ
ajst-12720	23	7	stock	stock	NOUN
ajst-12720	23	8	price	price	NOUN
ajst-12720	23	9	per	per	ADP
ajst-12720	23	10	unit	unit	NOUN
ajst-12720	23	11	weight	weight	NOUN
ajst-12720	23	12	n	n	PROPN
ajst-12720	23	13	for	for	ADP
ajst-12720	23	14	the	the	DET
ajst-12720	23	15	day	day	NOUN
ajst-12720	23	16	.	.	PUNCT
ajst-12720	24	1	upon	upon	SCONJ
ajst-12720	24	2	investigation	investigation	NOUN
ajst-12720	24	3	,	,	PUNCT
ajst-12720	24	4	the	the	DET
ajst-12720	24	5	daily	daily	ADJ
ajst-12720	24	6	sales	sale	NOUN
ajst-12720	24	7	volume	volume	NOUN
ajst-12720	24	8	of	of	ADP
ajst-12720	24	9	the	the	DET
ajst-12720	24	10	six	six	NUM
ajst-12720	24	11	major	major	ADJ
ajst-12720	24	12	vegetable	vegetable	NOUN
ajst-12720	24	13	categories	category	NOUN
ajst-12720	24	14	in	in	ADP
ajst-12720	24	15	the	the	DET
ajst-12720	24	16	superstore	superstore	NOUN
ajst-12720	24	17	for	for	ADP
ajst-12720	24	18	the	the	DET
ajst-12720	24	19	last	last	ADJ
ajst-12720	24	20	30	30	NUM
ajst-12720	24	21	days	day	NOUN
ajst-12720	24	22	is	be	AUX
ajst-12720	24	23	shown	show	VERB
ajst-12720	24	24	in	in	ADP
ajst-12720	24	25	figure	figure	NOUN
ajst-12720	24	26	2	2	NUM
ajst-12720	24	27	:	:	PUNCT
ajst-12720	24	28	figure	figure	NOUN
ajst-12720	24	29	2	2	NUM
ajst-12720	24	30	.	.	PUNCT
ajst-12720	24	31	daily	daily	ADJ
ajst-12720	24	32	sales	sale	NOUN
ajst-12720	24	33	volume	volume	NOUN
ajst-12720	24	34	of	of	ADP
ajst-12720	24	35	the	the	DET
ajst-12720	24	36	six	six	NUM
ajst-12720	24	37	major	major	ADJ
ajst-12720	24	38	vegetable	vegetable	NOUN
ajst-12720	24	39	categories	category	NOUN
ajst-12720	24	40	for	for	ADP
ajst-12720	24	41	the	the	DET
ajst-12720	24	42	last	last	ADJ
ajst-12720	24	43	30	30	NUM
ajst-12720	24	44	days	day	NOUN
ajst-12720	24	45	considering	consider	VERB
ajst-12720	24	46	that	that	SCONJ
ajst-12720	24	47	1	1	NUM
ajst-12720	24	48	-	-	SYM
ajst-12720	24	49	7	7	NUM
ajst-12720	24	50	july	july	PROPN
ajst-12720	24	51	2023	2023	NUM
ajst-12720	24	52	is	be	AUX
ajst-12720	24	53	a	a	DET
ajst-12720	24	54	complete	complete	ADJ
ajst-12720	24	55	week	week	NOUN
ajst-12720	24	56	and	and	CCONJ
ajst-12720	24	57	there	there	PRON
ajst-12720	24	58	are	be	VERB
ajst-12720	24	59	no	no	DET
ajst-12720	24	60	legal	legal	ADJ
ajst-12720	24	61	holidays	holiday	NOUN
ajst-12720	24	62	,	,	PUNCT
ajst-12720	24	63	then	then	ADV
ajst-12720	24	64	weekdays	weekday	VERB
ajst-12720	24	65	and	and	CCONJ
ajst-12720	24	66	rest	rest	NOUN
ajst-12720	24	67	days	day	NOUN
ajst-12720	24	68	also	also	ADV
ajst-12720	24	69	significantly	significantly	ADV
ajst-12720	24	70	affect	affect	VERB
ajst-12720	24	71	sales	sale	NOUN
ajst-12720	24	72	volume	volume	NOUN
ajst-12720	24	73	.	.	PUNCT
ajst-12720	25	1	in	in	ADP
ajst-12720	25	2	order	order	NOUN
ajst-12720	25	3	to	to	PART
ajst-12720	25	4	ensure	ensure	VERB
ajst-12720	25	5	the	the	DET
ajst-12720	25	6	maximum	maximum	ADJ
ajst-12720	25	7	revenue	revenue	NOUN
ajst-12720	25	8	of	of	ADP
ajst-12720	25	9	the	the	DET
ajst-12720	25	10	superstore	superstore	NOUN
ajst-12720	25	11	,	,	PUNCT
ajst-12720	25	12	we	we	PRON
ajst-12720	25	13	optimise	optimise	VERB
ajst-12720	25	14	the	the	DET
ajst-12720	25	15	improved	improved	ADJ
ajst-12720	25	16	bilstm	bilstm	NOUN
ajst-12720	25	17	model	model	NOUN
ajst-12720	25	18	based	base	VERB
ajst-12720	25	19	on	on	ADP
ajst-12720	25	20	the	the	DET
ajst-12720	25	21	wso	wso	PROPN
ajst-12720	25	22	white	white	ADJ
ajst-12720	25	23	shark	shark	NOUN
ajst-12720	25	24	algorithm	algorithm	NOUN
ajst-12720	25	25	,	,	PUNCT
ajst-12720	25	26	and	and	CCONJ
ajst-12720	25	27	use	use	VERB
ajst-12720	25	28	the	the	DET
ajst-12720	25	29	matlab	matlab	PROPN
ajst-12720	25	30	tool	tool	NOUN
ajst-12720	25	31	to	to	PART
ajst-12720	25	32	predict	predict	VERB
ajst-12720	25	33	the	the	DET
ajst-12720	25	34	sales	sale	NOUN
ajst-12720	25	35	data	datum	NOUN
ajst-12720	25	36	71	71	NUM
ajst-12720	25	37	within	within	ADP
ajst-12720	25	38	the	the	DET
ajst-12720	25	39	last	last	ADJ
ajst-12720	25	40	30	30	NUM
ajst-12720	25	41	days	day	NOUN
ajst-12720	25	42	through	through	ADP
ajst-12720	25	43	the	the	DET
ajst-12720	25	44	long	long	ADJ
ajst-12720	25	45	short	short	ADJ
ajst-12720	25	46	-	-	PUNCT
ajst-12720	25	47	term	term	NOUN
ajst-12720	25	48	memory	memory	NOUN
ajst-12720	25	49	recurrent	recurrent	NOUN
ajst-12720	25	50	neural	neural	ADJ
ajst-12720	25	51	networks	network	NOUN
ajst-12720	25	52	(	(	PUNCT
ajst-12720	25	53	lstm	lstm	NOUN
ajst-12720	25	54	)	)	PUNCT
ajst-12720	25	55	for	for	ADP
ajst-12720	25	56	time	time	NOUN
ajst-12720	25	57	-	-	PUNCT
ajst-12720	25	58	series	series	NOUN
ajst-12720	25	59	analysis[3	analysis[3	PROPN
ajst-12720	25	60	]	]	PUNCT
ajst-12720	25	61	,	,	PUNCT
ajst-12720	25	62	and	and	CCONJ
ajst-12720	25	63	use	use	VERB
ajst-12720	25	64	the	the	DET
ajst-12720	25	65	average	average	ADJ
ajst-12720	25	66	(	(	PUNCT
ajst-12720	25	67	lmse	lmse	ADV
ajst-12720	25	68	)	)	PUNCT
ajst-12720	25	69	as	as	ADP
ajst-12720	25	70	the	the	DET
ajst-12720	25	71	loss	loss	NOUN
ajst-12720	25	72	function	function	NOUN
ajst-12720	25	73	of	of	ADP
ajst-12720	25	74	the	the	DET
ajst-12720	25	75	model	model	NOUN
ajst-12720	25	76	to	to	PART
ajst-12720	25	77	predict	predict	VERB
ajst-12720	25	78	the	the	DET
ajst-12720	25	79	data	datum	NOUN
ajst-12720	25	80	of	of	ADP
ajst-12720	25	81	the	the	DET
ajst-12720	25	82	last	last	ADJ
ajst-12720	25	83	7	7	NUM
ajst-12720	25	84	days	day	NOUN
ajst-12720	25	85	and	and	CCONJ
ajst-12720	25	86	get	get	VERB
ajst-12720	25	87	the	the	DET
ajst-12720	25	88	sales	sale	NOUN
ajst-12720	25	89	volume	volume	NOUN
ajst-12720	25	90	m1	m1	NOUN
ajst-12720	25	91	,	,	PUNCT
ajst-12720	25	92	m2,	m2,	NOUN
ajst-12720	25	93	......	......	X
ajst-12720	25	94	m7	m7	NOUN
ajst-12720	25	95	,	,	PUNCT
ajst-12720	25	96	and	and	CCONJ
ajst-12720	25	97	in	in	ADP
ajst-12720	25	98	order	order	NOUN
ajst-12720	25	99	to	to	PART
ajst-12720	25	100	mine	mine	VERB
ajst-12720	25	101	the	the	DET
ajst-12720	25	102	cycle	cycle	NOUN
ajst-12720	25	103	information	information	NOUN
ajst-12720	25	104	,	,	PUNCT
ajst-12720	25	105	the	the	DET
ajst-12720	25	106	average	average	ADJ
ajst-12720	25	107	sales	sale	NOUN
ajst-12720	25	108	volume	volume	NOUN
ajst-12720	25	109	over	over	ADP
ajst-12720	25	110	30	30	NUM
ajst-12720	25	111	days	day	NOUN
ajst-12720	25	112	is	be	AUX
ajst-12720	25	113	directly	directly	ADV
ajst-12720	25	114	used	use	VERB
ajst-12720	25	115	to	to	PART
ajst-12720	25	116	carry	carry	VERB
ajst-12720	25	117	out	out	ADP
ajst-12720	25	118	by	by	ADP
ajst-12720	25	119	calculating	calculate	VERB
ajst-12720	25	120	the	the	DET
ajst-12720	25	121	cycle	cycle	NOUN
ajst-12720	25	122	weights	weight	VERB
ajst-12720	25	123	𝛽	𝛽	PROPN
ajst-12720	25	124	,	,	PUNCT
ajst-12720	25	125	𝛽	𝛽	PROPN
ajst-12720	25	126	,	,	PUNCT
ajst-12720	25	127	…	…	PUNCT
ajst-12720	25	128	…	…	PUNCT
ajst-12720	25	129	𝛽	𝛽	NOUN
ajst-12720	25	130	,	,	PUNCT
ajst-12720	25	131	the	the	DET
ajst-12720	25	132	weights	weight	NOUN
ajst-12720	25	133	are	be	AUX
ajst-12720	25	134	obtained	obtain	VERB
ajst-12720	25	135	by	by	ADP
ajst-12720	25	136	using	use	VERB
ajst-12720	25	137	the	the	DET
ajst-12720	25	138	same	same	ADJ
ajst-12720	25	139	period	period	NOUN
ajst-12720	25	140	data	datum	NOUN
ajst-12720	25	141	of	of	ADP
ajst-12720	25	142	previous	previous	ADJ
ajst-12720	25	143	years	year	NOUN
ajst-12720	25	144	is	be	AUX
ajst-12720	25	145	as	as	SCONJ
ajst-12720	25	146	shown	show	VERB
ajst-12720	25	147	in	in	ADP
ajst-12720	25	148	table	table	NOUN
ajst-12720	25	149	1	1	NUM
ajst-12720	25	150	.	.	PUNCT
ajst-12720	25	151	table	table	NOUN
ajst-12720	25	152	1	1	NUM
ajst-12720	25	153	.	.	PUNCT
ajst-12720	25	154	weight	weight	NOUN
ajst-12720	25	155	during	during	ADP
ajst-12720	25	156	a	a	DET
ajst-12720	25	157	week	week	NOUN
ajst-12720	25	158	1	1	NUM
ajst-12720	25	159	july	july	PROPN
ajst-12720	25	160	2	2	NUM
ajst-12720	25	161	july	july	PROPN
ajst-12720	25	162	3	3	NUM
ajst-12720	25	163	july	july	PROPN
ajst-12720	25	164	4	4	NUM
ajst-12720	25	165	july	july	PROPN
ajst-12720	25	166	5	5	NUM
ajst-12720	25	167	july	july	PROPN
ajst-12720	25	168	6	6	NUM
ajst-12720	25	169	july	july	PROPN
ajst-12720	25	170	7	7	NUM
ajst-12720	25	171	july	july	PROPN
ajst-12720	25	172	0.175	0.175	NUM
ajst-12720	25	173	0.127	0.127	NUM
ajst-12720	25	174	0.110	0.110	NUM
ajst-12720	25	175	0.130	0.130	NUM
ajst-12720	25	176	0.143	0.143	NUM
ajst-12720	25	177	0.159	0.159	NUM
ajst-12720	25	178	0.155	0.155	NUM
ajst-12720	25	179	the	the	DET
ajst-12720	25	180	weighting	weighting	NOUN
ajst-12720	25	181	of	of	ADP
ajst-12720	25	182	the	the	DET
ajst-12720	25	183	number	number	NOUN
ajst-12720	25	184	of	of	ADP
ajst-12720	25	185	days	day	NOUN
ajst-12720	25	186	of	of	ADP
ajst-12720	25	187	the	the	DET
ajst-12720	25	188	week	week	NOUN
ajst-12720	25	189	gives	give	VERB
ajst-12720	25	190	𝐴	𝐴	PROPN
ajst-12720	25	191	,	,	PUNCT
ajst-12720	25	192	𝐴	𝐴	PROPN
ajst-12720	25	193	,	,	PUNCT
ajst-12720	25	194	…	…	PUNCT
ajst-12720	25	195	…	…	PUNCT
ajst-12720	25	196	𝐴	𝐴	PROPN
ajst-12720	25	197	,	,	PUNCT
ajst-12720	25	198	which	which	PRON
ajst-12720	25	199	is	be	AUX
ajst-12720	25	200	calculated	calculate	VERB
ajst-12720	25	201	as	as	ADP
ajst-12720	25	202	𝐴	𝐴	PROPN
ajst-12720	25	203	𝑀𝑒𝑎𝑛	𝑀𝑒𝑎𝑛	PROPN
ajst-12720	25	204	𝑆𝑎𝑙𝑒𝑠	𝑆𝑎𝑙𝑒𝑠	PROPN
ajst-12720	25	205	𝑣𝑜𝑙𝑢𝑚𝑒	𝑣𝑜𝑙𝑢𝑚𝑒	NOUN
ajst-12720	25	206	𝑖𝑛	𝑖𝑛	ADP
ajst-12720	25	207	𝑡ℎ𝑖𝑟𝑡𝑦	𝑡ℎ𝑖𝑟𝑡𝑦	ADJ
ajst-12720	25	208	𝑑𝑎𝑦𝑠	𝑑𝑎𝑦𝑠	NOUN
ajst-12720	25	209	∙	∙	PROPN
ajst-12720	25	210	𝛽	𝛽	PROPN
ajst-12720	25	211	(	(	PUNCT
ajst-12720	25	212	6	6	NUM
ajst-12720	25	213	)	)	PUNCT
ajst-12720	25	214	where	where	SCONJ
ajst-12720	25	215	n=1,2	n=1,2	ADJ
ajst-12720	25	216	…	…	PUNCT
ajst-12720	25	217	,7	,7	X
ajst-12720	25	218	.	.	PUNCT
ajst-12720	26	1	the	the	DET
ajst-12720	26	2	final	final	ADJ
ajst-12720	26	3	predictions	prediction	NOUN
ajst-12720	26	4	are	be	AUX
ajst-12720	26	5	linearly	linearly	ADV
ajst-12720	26	6	weighted	weight	VERB
ajst-12720	26	7	𝐷	𝐷	PROPN
ajst-12720	26	8	0.5𝑀	0.5𝑀	NOUN
ajst-12720	26	9	0.5𝐴	0.5𝐴	NOUN
ajst-12720	26	10	,	,	PUNCT
ajst-12720	26	11	𝑛	𝑛	PRON
ajst-12720	26	12	1,2	1,2	NUM
ajst-12720	26	13	…	…	PUNCT
ajst-12720	26	14	,	,	PUNCT
ajst-12720	26	15	7	7	NUM
ajst-12720	26	16	(	(	PUNCT
ajst-12720	26	17	7	7	NUM
ajst-12720	26	18	)	)	PUNCT
ajst-12720	26	19	finally	finally	ADV
ajst-12720	26	20	,	,	PUNCT
ajst-12720	26	21	the	the	DET
ajst-12720	26	22	predicted	predict	VERB
ajst-12720	26	23	sales	sale	NOUN
ajst-12720	26	24	volume	volume	NOUN
ajst-12720	26	25	for	for	ADP
ajst-12720	26	26	one	one	NUM
ajst-12720	26	27	week	week	NOUN
ajst-12720	26	28	is	be	AUX
ajst-12720	26	29	obtained	obtain	VERB
ajst-12720	26	30	;	;	PUNCT
ajst-12720	26	31	finally	finally	ADV
ajst-12720	26	32	,	,	PUNCT
ajst-12720	26	33	a	a	DET
ajst-12720	26	34	regression	regression	NOUN
ajst-12720	26	35	model	model	NOUN
ajst-12720	26	36	is	be	AUX
ajst-12720	26	37	fitted	fit	VERB
ajst-12720	26	38	to	to	PART
ajst-12720	26	39	obtain	obtain	VERB
ajst-12720	26	40	the	the	DET
ajst-12720	26	41	pricing	pricing	NOUN
ajst-12720	26	42	strategy	strategy	NOUN
ajst-12720	26	43	.	.	PUNCT
ajst-12720	27	1	2.3	2.3	NUM
ajst-12720	27	2	.	.	PUNCT
ajst-12720	27	3	markov	markov	NOUN
ajst-12720	27	4	prediction	prediction	NOUN
ajst-12720	27	5	model	model	NOUN
ajst-12720	27	6	and	and	CCONJ
ajst-12720	27	7	particle	particle	NOUN
ajst-12720	27	8	swarm	swarm	NOUN
ajst-12720	27	9	optimisation	optimisation	NOUN
ajst-12720	27	10	algorithm	algorithm	NOUN
ajst-12720	27	11	firstly	firstly	ADV
ajst-12720	27	12	,	,	PUNCT
ajst-12720	27	13	we	we	PRON
ajst-12720	27	14	analyse	analyse	VERB
ajst-12720	27	15	the	the	DET
ajst-12720	27	16	data	datum	NOUN
ajst-12720	27	17	of	of	ADP
ajst-12720	27	18	single	single	ADJ
ajst-12720	27	19	product	product	NOUN
ajst-12720	27	20	,	,	PUNCT
ajst-12720	27	21	for	for	ADP
ajst-12720	27	22	a	a	DET
ajst-12720	27	23	total	total	NOUN
ajst-12720	27	24	of	of	ADP
ajst-12720	27	25	251	251	NUM
ajst-12720	27	26	types	type	NOUN
ajst-12720	27	27	of	of	ADP
ajst-12720	27	28	single	single	ADJ
ajst-12720	27	29	product	product	NOUN
ajst-12720	27	30	,	,	PUNCT
ajst-12720	27	31	and	and	CCONJ
ajst-12720	27	32	calculate	calculate	VERB
ajst-12720	27	33	its	its	PRON
ajst-12720	27	34	average	average	ADJ
ajst-12720	27	35	revenue	revenue	NOUN
ajst-12720	27	36	,	,	PUNCT
ajst-12720	27	37	as	as	SCONJ
ajst-12720	27	38	shown	show	VERB
ajst-12720	27	39	in	in	ADP
ajst-12720	27	40	figure	figure	NOUN
ajst-12720	27	41	3	3	NUM
ajst-12720	27	42	.	.	PUNCT
ajst-12720	27	43	figure	figure	VERB
ajst-12720	27	44	3	3	NUM
ajst-12720	27	45	.	.	PUNCT
ajst-12720	27	46	histogram	histogram	NOUN
ajst-12720	27	47	of	of	ADP
ajst-12720	27	48	average	average	ADJ
ajst-12720	27	49	daily	daily	ADJ
ajst-12720	27	50	returns	return	NOUN
ajst-12720	27	51	by	by	ADP
ajst-12720	27	52	category	category	NOUN
ajst-12720	27	53	the	the	DET
ajst-12720	27	54	vast	vast	ADJ
ajst-12720	27	55	majority	majority	NOUN
ajst-12720	27	56	of	of	ADP
ajst-12720	27	57	individual	individual	ADJ
ajst-12720	27	58	products	product	NOUN
ajst-12720	27	59	have	have	VERB
ajst-12720	27	60	an	an	DET
ajst-12720	27	61	average	average	ADJ
ajst-12720	27	62	daily	daily	ADJ
ajst-12720	27	63	return	return	NOUN
ajst-12720	27	64	of	of	ADP
ajst-12720	27	65	¥	¥	SYM
ajst-12720	27	66	10	10	NUM
ajst-12720	27	67	or	or	CCONJ
ajst-12720	27	68	less	less	ADJ
ajst-12720	27	69	,	,	PUNCT
ajst-12720	27	70	but	but	CCONJ
ajst-12720	27	71	there	there	PRON
ajst-12720	27	72	are	be	VERB
ajst-12720	27	73	also	also	ADV
ajst-12720	27	74	higher	higher	ADV
ajst-12720	27	75	-	-	PUNCT
ajst-12720	27	76	returning	return	VERB
ajst-12720	27	77	products	product	NOUN
ajst-12720	27	78	,	,	PUNCT
ajst-12720	27	79	which	which	PRON
ajst-12720	27	80	are	be	AUX
ajst-12720	27	81	further	far	ADV
ajst-12720	27	82	analysed	analyse	VERB
ajst-12720	27	83	in	in	ADP
ajst-12720	27	84	terms	term	NOUN
ajst-12720	27	85	of	of	ADP
ajst-12720	27	86	average	average	ADJ
ajst-12720	27	87	unit	unit	NOUN
ajst-12720	27	88	price	price	NOUN
ajst-12720	27	89	and	and	CCONJ
ajst-12720	27	90	number	number	NOUN
ajst-12720	27	91	of	of	ADP
ajst-12720	27	92	daily	daily	ADJ
ajst-12720	27	93	returns	return	NOUN
ajst-12720	27	94	,	,	PUNCT
ajst-12720	27	95	as	as	SCONJ
ajst-12720	27	96	shown	show	VERB
ajst-12720	27	97	in	in	ADP
ajst-12720	27	98	figure	figure	NOUN
ajst-12720	27	99	4	4	NUM
ajst-12720	27	100	.	.	PUNCT
ajst-12720	27	101	figure	figure	VERB
ajst-12720	27	102	4	4	NUM
ajst-12720	27	103	.	.	PUNCT
ajst-12720	27	104	price	price	NOUN
ajst-12720	27	105	histogram	histogram	NOUN
ajst-12720	27	106	by	by	ADP
ajst-12720	27	107	filtering	filter	VERB
ajst-12720	27	108	the	the	DET
ajst-12720	27	109	data	datum	NOUN
ajst-12720	27	110	,	,	PUNCT
ajst-12720	27	111	we	we	PRON
ajst-12720	27	112	can	can	AUX
ajst-12720	27	113	filter	filter	VERB
ajst-12720	27	114	out	out	ADP
ajst-12720	27	115	the	the	DET
ajst-12720	27	116	4	4	NUM
ajst-12720	27	117	individual	individual	ADJ
ajst-12720	27	118	items	item	NOUN
ajst-12720	27	119	represented	represent	VERB
ajst-12720	27	120	by	by	ADP
ajst-12720	27	121	local	local	ADJ
ajst-12720	27	122	spinach	spinach	NOUN
ajst-12720	27	123	that	that	PRON
ajst-12720	27	124	have	have	VERB
ajst-12720	27	125	no	no	DET
ajst-12720	27	126	transaction	transaction	NOUN
ajst-12720	27	127	information	information	NOUN
ajst-12720	27	128	.	.	PUNCT
ajst-12720	28	1	then	then	ADV
ajst-12720	28	2	we	we	PRON
ajst-12720	28	3	use	use	VERB
ajst-12720	28	4	profit	profit	NOUN
ajst-12720	28	5	to	to	PART
ajst-12720	28	6	select	select	VERB
ajst-12720	28	7	the	the	DET
ajst-12720	28	8	category	category	NOUN
ajst-12720	28	9	with	with	ADP
ajst-12720	28	10	profit	profit	NOUN
ajst-12720	28	11	contribution	contribution	NOUN
ajst-12720	28	12	rate	rate	NOUN
ajst-12720	28	13	of	of	ADP
ajst-12720	28	14	27	27	NUM
ajst-12720	28	15	-	-	SYM
ajst-12720	28	16	33	33	NUM
ajst-12720	28	17	,	,	PUNCT
ajst-12720	28	18	and	and	CCONJ
ajst-12720	28	19	give	give	VERB
ajst-12720	28	20	the	the	DET
ajst-12720	28	21	replenishment	replenishment	NOUN
ajst-12720	28	22	quantity	quantity	NOUN
ajst-12720	28	23	and	and	CCONJ
ajst-12720	28	24	pricing	pricing	NOUN
ajst-12720	28	25	strategy	strategy	NOUN
ajst-12720	28	26	according	accord	VERB
ajst-12720	28	27	to	to	ADP
ajst-12720	28	28	the	the	DET
ajst-12720	28	29	single	single	ADJ
ajst-12720	28	30	product	product	NOUN
ajst-12720	28	31	and	and	CCONJ
ajst-12720	28	32	its	its	PRON
ajst-12720	28	33	corresponding	correspond	VERB
ajst-12720	28	34	data	datum	NOUN
ajst-12720	28	35	,	,	PUNCT
ajst-12720	28	36	and	and	CCONJ
ajst-12720	28	37	the	the	DET
ajst-12720	28	38	results	result	NOUN
ajst-12720	28	39	are	be	AUX
ajst-12720	28	40	shown	show	VERB
ajst-12720	28	41	in	in	ADP
ajst-12720	28	42	table	table	NOUN
ajst-12720	28	43	2	2	NUM
ajst-12720	28	44	.	.	NOUN
ajst-12720	28	45	0	0	NUM
ajst-12720	28	46	50	50	NUM
ajst-12720	28	47	100	100	NUM
ajst-12720	28	48	150	150	NUM
ajst-12720	28	49	200	200	NUM
ajst-12720	28	50	250	250	NUM
ajst-12720	28	51	300	300	NUM
ajst-12720	28	52	350	350	NUM
ajst-12720	28	53	0	0	NUM
ajst-12720	28	54	5	5	NUM
ajst-12720	28	55	10	10	NUM
ajst-12720	28	56	15	15	NUM
ajst-12720	28	57	20	20	NUM
ajst-12720	28	58	25	25	NUM
ajst-12720	28	59	30	30	NUM
ajst-12720	28	60	35	35	NUM
ajst-12720	28	61	40	40	NUM
ajst-12720	28	62	45	45	NUM
ajst-12720	28	63	50	50	NUM
ajst-12720	28	64	price	price	NOUN
ajst-12720	28	65	72	72	NUM
ajst-12720	28	66	table	table	NOUN
ajst-12720	28	67	2	2	NUM
ajst-12720	28	68	.	.	PUNCT
ajst-12720	28	69	weight	weight	NOUN
ajst-12720	28	70	during	during	ADP
ajst-12720	28	71	a	a	DET
ajst-12720	28	72	week	week	NOUN
ajst-12720	28	73	philodendron	philodendron	NOUN
ajst-12720	28	74	cauliflower	cauliflower	NOUN
ajst-12720	28	75	aquatic	aquatic	ADJ
ajst-12720	28	76	rhizomes	rhizome	NOUN
ajst-12720	28	77	eggplant	eggplant	NOUN
ajst-12720	28	78	chilli	chilli	PROPN
ajst-12720	28	79	edible	edible	ADJ
ajst-12720	28	80	mushroom	mushroom	NOUN
ajst-12720	28	81	83.89956	83.89956	NUM
ajst-12720	28	82	48.55992	48.55992	NUM
ajst-12720	28	83	38.77241	38.77241	NUM
ajst-12720	28	84	37.9893	37.9893	NUM
ajst-12720	28	85	108.2921	108.2921	NUM
ajst-12720	28	86	49.71332	49.71332	NUM
ajst-12720	28	87	the	the	DET
ajst-12720	28	88	problem	problem	NOUN
ajst-12720	28	89	can	can	AUX
ajst-12720	28	90	be	be	AUX
ajst-12720	28	91	solved	solve	VERB
ajst-12720	28	92	by	by	ADP
ajst-12720	28	93	small	small	ADJ
ajst-12720	28	94	sample	sample	NOUN
ajst-12720	28	95	cycle	cycle	NOUN
ajst-12720	28	96	prediction	prediction	NOUN
ajst-12720	28	97	method	method	NOUN
ajst-12720	28	98	with	with	ADP
ajst-12720	28	99	dynamic	dynamic	ADJ
ajst-12720	28	100	programming	programming	NOUN
ajst-12720	28	101	model[4	model[4	PROPN
ajst-12720	28	102	]	]	PUNCT
ajst-12720	28	103	,	,	PUNCT
ajst-12720	28	104	here	here	ADV
ajst-12720	28	105	we	we	PRON
ajst-12720	28	106	use	use	VERB
ajst-12720	28	107	markov	markov	NOUN
ajst-12720	28	108	prediction	prediction	NOUN
ajst-12720	28	109	modell'1	modell'1	NOUN
ajst-12720	28	110	and	and	CCONJ
ajst-12720	28	111	particle	particle	NOUN
ajst-12720	28	112	swarm	swarm	NOUN
ajst-12720	28	113	optimisation	optimisation	NOUN
ajst-12720	28	114	algorithm[5	algorithm[5	NOUN
ajst-12720	28	115	]	]	PUNCT
ajst-12720	28	116	.	.	PUNCT
ajst-12720	29	1	before	before	ADP
ajst-12720	29	2	solving	solve	VERB
ajst-12720	29	3	the	the	DET
ajst-12720	29	4	problem	problem	NOUN
ajst-12720	29	5	,	,	PUNCT
ajst-12720	29	6	further	further	ADJ
ajst-12720	29	7	cleaning	cleaning	NOUN
ajst-12720	29	8	of	of	ADP
ajst-12720	29	9	the	the	DET
ajst-12720	29	10	problem	problem	NOUN
ajst-12720	29	11	data	datum	NOUN
ajst-12720	29	12	is	be	AUX
ajst-12720	29	13	required	require	VERB
ajst-12720	29	14	due	due	ADP
ajst-12720	29	15	to	to	ADP
ajst-12720	29	16	the	the	DET
ajst-12720	29	17	constraints	constraint	NOUN
ajst-12720	29	18	that	that	PRON
ajst-12720	29	19	exist	exist	VERB
ajst-12720	29	20	in	in	ADP
ajst-12720	29	21	this	this	DET
ajst-12720	29	22	real	real	ADJ
ajst-12720	29	23	-	-	PUNCT
ajst-12720	29	24	world	world	NOUN
ajst-12720	29	25	problem	problem	NOUN
ajst-12720	29	26	:	:	PUNCT
ajst-12720	29	27	(	(	PUNCT
ajst-12720	29	28	1	1	X
ajst-12720	29	29	)	)	PUNCT
ajst-12720	29	30	the	the	DET
ajst-12720	29	31	order	order	NOUN
ajst-12720	29	32	quantity	quantity	NOUN
ajst-12720	29	33	of	of	ADP
ajst-12720	29	34	each	each	DET
ajst-12720	29	35	item	item	NOUN
ajst-12720	29	36	is	be	AUX
ajst-12720	29	37	required	require	VERB
ajst-12720	29	38	to	to	PART
ajst-12720	29	39	meet	meet	VERB
ajst-12720	29	40	the	the	DET
ajst-12720	29	41	requirement	requirement	NOUN
ajst-12720	29	42	that	that	SCONJ
ajst-12720	29	43	the	the	DET
ajst-12720	29	44	minimum	minimum	ADJ
ajst-12720	29	45	display	display	NOUN
ajst-12720	29	46	weight	weight	NOUN
ajst-12720	29	47	is	be	AUX
ajst-12720	29	48	greater	great	ADJ
ajst-12720	29	49	than	than	ADP
ajst-12720	29	50	2.5	2.5	NUM
ajst-12720	29	51	kg	kg	NOUN
ajst-12720	29	52	.	.	PUNCT
ajst-12720	30	1	(	(	PUNCT
ajst-12720	30	2	2	2	X
ajst-12720	30	3	)	)	PUNCT
ajst-12720	30	4	a	a	DET
ajst-12720	30	5	small	small	ADJ
ajst-12720	30	6	sample	sample	NOUN
ajst-12720	30	7	of	of	ADP
ajst-12720	30	8	forecasts	forecast	NOUN
ajst-12720	30	9	,	,	PUNCT
ajst-12720	30	10	with	with	ADP
ajst-12720	30	11	the	the	DET
ajst-12720	30	12	vegetable	vegetable	NOUN
ajst-12720	30	13	items	item	NOUN
ajst-12720	30	14	controlled	control	VERB
ajst-12720	30	15	to	to	PART
ajst-12720	30	16	be	be	AUX
ajst-12720	30	17	27	27	NUM
ajst-12720	30	18	-	-	SYM
ajst-12720	30	19	33	33	NUM
ajst-12720	30	20	.	.	PUNCT
ajst-12720	31	1	(	(	PUNCT
ajst-12720	31	2	3	3	X
ajst-12720	31	3	)	)	PUNCT
ajst-12720	31	4	constraints	constraint	NOUN
ajst-12720	31	5	on	on	ADP
ajst-12720	31	6	the	the	DET
ajst-12720	31	7	varieties	variety	NOUN
ajst-12720	31	8	that	that	PRON
ajst-12720	31	9	can	can	AUX
ajst-12720	31	10	be	be	AUX
ajst-12720	31	11	sold	sell	VERB
ajst-12720	31	12	from	from	ADP
ajst-12720	31	13	24	24	NUM
ajst-12720	31	14	-	-	SYM
ajst-12720	31	15	30	30	NUM
ajst-12720	31	16	june	june	PROPN
ajst-12720	31	17	2023	2023	NUM
ajst-12720	31	18	due	due	ADP
ajst-12720	31	19	to	to	ADP
ajst-12720	31	20	the	the	DET
ajst-12720	31	21	short	short	ADJ
ajst-12720	31	22	shelf	shelf	NOUN
ajst-12720	31	23	life	life	NOUN
ajst-12720	31	24	of	of	ADP
ajst-12720	31	25	vegetables	vegetable	NOUN
ajst-12720	31	26	,	,	PUNCT
ajst-12720	31	27	most	most	ADJ
ajst-12720	31	28	of	of	ADP
ajst-12720	31	29	the	the	DET
ajst-12720	31	30	individual	individual	ADJ
ajst-12720	31	31	items	item	NOUN
ajst-12720	31	32	can	can	AUX
ajst-12720	31	33	not	not	PART
ajst-12720	31	34	be	be	AUX
ajst-12720	31	35	sold	sell	VERB
ajst-12720	31	36	on	on	ADP
ajst-12720	31	37	the	the	DET
ajst-12720	31	38	next	next	ADJ
ajst-12720	31	39	day	day	NOUN
ajst-12720	31	40	if	if	SCONJ
ajst-12720	31	41	they	they	PRON
ajst-12720	31	42	are	be	AUX
ajst-12720	31	43	not	not	PART
ajst-12720	31	44	sold	sell	VERB
ajst-12720	31	45	on	on	ADP
ajst-12720	31	46	the	the	DET
ajst-12720	31	47	same	same	ADJ
ajst-12720	31	48	day	day	NOUN
ajst-12720	31	49	,	,	PUNCT
ajst-12720	31	50	so	so	ADV
ajst-12720	31	51	we	we	PRON
ajst-12720	31	52	introduce	introduce	VERB
ajst-12720	31	53	the	the	DET
ajst-12720	31	54	wastage	wastage	NOUN
ajst-12720	31	55	rate	rate	NOUN
ajst-12720	31	56	data	datum	NOUN
ajst-12720	31	57	to	to	PART
ajst-12720	31	58	correct	correct	VERB
ajst-12720	31	59	the	the	DET
ajst-12720	31	60	shelf	shelf	NOUN
ajst-12720	31	61	life	life	NOUN
ajst-12720	31	62	,	,	PUNCT
ajst-12720	31	63	and	and	CCONJ
ajst-12720	31	64	establish	establish	VERB
ajst-12720	31	65	the	the	DET
ajst-12720	31	66	correlation	correlation	NOUN
ajst-12720	31	67	between	between	ADP
ajst-12720	31	68	the	the	DET
ajst-12720	31	69	wastage	wastage	NOUN
ajst-12720	31	70	rate	rate	NOUN
ajst-12720	31	71	and	and	CCONJ
ajst-12720	31	72	the	the	DET
ajst-12720	31	73	shelf	shelf	NOUN
ajst-12720	31	74	life	life	NOUN
ajst-12720	31	75	,	,	PUNCT
ajst-12720	31	76	which	which	PRON
ajst-12720	31	77	can	can	AUX
ajst-12720	31	78	be	be	AUX
ajst-12720	31	79	used	use	VERB
ajst-12720	31	80	to	to	PART
ajst-12720	31	81	further	far	ADV
ajst-12720	31	82	filter	filter	VERB
ajst-12720	31	83	out	out	ADP
ajst-12720	31	84	the	the	DET
ajst-12720	31	85	non	non	ADJ
ajst-12720	31	86	-	-	ADJ
ajst-12720	31	87	compliant	compliant	ADJ
ajst-12720	31	88	individual	individual	ADJ
ajst-12720	31	89	items	item	NOUN
ajst-12720	31	90	.	.	PUNCT
ajst-12720	32	1	intuitively	intuitively	ADV
ajst-12720	32	2	,	,	PUNCT
ajst-12720	32	3	the	the	PRON
ajst-12720	32	4	lower	low	ADJ
ajst-12720	32	5	the	the	DET
ajst-12720	32	6	wastage	wastage	NOUN
ajst-12720	32	7	rate	rate	NOUN
ajst-12720	32	8	is	be	AUX
ajst-12720	32	9	,	,	PUNCT
ajst-12720	32	10	the	the	PRON
ajst-12720	32	11	longer	long	ADJ
ajst-12720	32	12	the	the	DET
ajst-12720	32	13	shelf	shelf	NOUN
ajst-12720	32	14	life	life	NOUN
ajst-12720	32	15	is	be	AUX
ajst-12720	32	16	,	,	PUNCT
ajst-12720	32	17	and	and	CCONJ
ajst-12720	32	18	the	the	PRON
ajst-12720	32	19	smaller	small	ADJ
ajst-12720	32	20	the	the	DET
ajst-12720	32	21	average	average	ADJ
ajst-12720	32	22	daily	daily	ADJ
ajst-12720	32	23	sales	sale	NOUN
ajst-12720	32	24	are	be	AUX
ajst-12720	32	25	in	in	ADP
ajst-12720	32	26	the	the	DET
ajst-12720	32	27	case	case	NOUN
ajst-12720	32	28	of	of	ADP
ajst-12720	32	29	queue	queue	NOUN
ajst-12720	32	30	value	value	NOUN
ajst-12720	32	31	t=	t=	NOUN
ajst-12720	32	32	2.5	2.5	NUM
ajst-12720	32	33	.	.	PUNCT
ajst-12720	33	1	the	the	DET
ajst-12720	33	2	attrition	attrition	NOUN
ajst-12720	33	3	rate	rate	NOUN
ajst-12720	33	4	was	be	AUX
ajst-12720	33	5	analysed	analyse	VERB
ajst-12720	33	6	first	first	ADV
ajst-12720	33	7	:	:	PUNCT
ajst-12720	33	8	the	the	DET
ajst-12720	33	9	mean	mean	ADJ
ajst-12720	33	10	attrition	attrition	NOUN
ajst-12720	33	11	rate	rate	NOUN
ajst-12720	33	12	was	be	AUX
ajst-12720	33	13	9.43	9.43	NUM
ajst-12720	33	14	percent	percent	NOUN
ajst-12720	33	15	with	with	ADP
ajst-12720	33	16	a	a	DET
ajst-12720	33	17	standard	standard	ADJ
ajst-12720	33	18	deviation	deviation	NOUN
ajst-12720	33	19	of	of	ADP
ajst-12720	33	20	0.052	0.052	NUM
ajst-12720	33	21	.	.	PUNCT
ajst-12720	34	1	modelling	model	VERB
ajst-12720	34	2	accordingly	accordingly	ADV
ajst-12720	34	3	:	:	PUNCT
ajst-12720	34	4	b	b	X
ajst-12720	34	5	1，𝑆	1，𝑆	NUM
ajst-12720	34	6	9.43	9.43	NUM
ajst-12720	34	7	%	%	NOUN
ajst-12720	34	8	2，𝑆	2，𝑆	NUM
ajst-12720	34	9	9.43	9.43	NUM
ajst-12720	34	10	%	%	NOUN
ajst-12720	34	11	(	(	PUNCT
ajst-12720	34	12	8)	8)	NUM
ajst-12720	34	13	where	where	SCONJ
ajst-12720	34	14	the	the	DET
ajst-12720	34	15	wastage	wastage	NOUN
ajst-12720	34	16	rate	rate	NOUN
ajst-12720	34	17	is	be	AUX
ajst-12720	34	18	s	s	NOUN
ajst-12720	34	19	,	,	PUNCT
ajst-12720	34	20	the	the	DET
ajst-12720	34	21	sample	sample	NOUN
ajst-12720	34	22	average	average	ADJ
ajst-12720	34	23	wastage	wastage	NOUN
ajst-12720	34	24	rate	rate	NOUN
ajst-12720	34	25	is	be	AUX
ajst-12720	34	26	𝑆	𝑆	PROPN
ajst-12720	34	27	,	,	PUNCT
ajst-12720	34	28	and	and	CCONJ
ajst-12720	34	29	b	b	X
ajst-12720	34	30	is	be	AUX
ajst-12720	34	31	the	the	DET
ajst-12720	34	32	corrected	correct	VERB
ajst-12720	34	33	shelf	shelf	NOUN
ajst-12720	34	34	-	-	PUNCT
ajst-12720	34	35	life	life	NOUN
ajst-12720	34	36	,	,	PUNCT
ajst-12720	34	37	whose	whose	DET
ajst-12720	34	38	wastage	wastage	NOUN
ajst-12720	34	39	rate	rate	NOUN
ajst-12720	34	40	s	s	PART
ajst-12720	34	41	≥	≥	NOUN
ajst-12720	34	42	0	0	NUM
ajst-12720	34	43	.	.	PUNCT
ajst-12720	35	1	using	use	VERB
ajst-12720	35	2	the	the	DET
ajst-12720	35	3	processed	process	VERB
ajst-12720	35	4	data	datum	NOUN
ajst-12720	35	5	,	,	PUNCT
ajst-12720	35	6	the	the	DET
ajst-12720	35	7	relationship	relationship	NOUN
ajst-12720	35	8	between	between	ADP
ajst-12720	35	9	replenishment	replenishment	NOUN
ajst-12720	35	10	and	and	CCONJ
ajst-12720	35	11	pricing	pricing	NOUN
ajst-12720	35	12	for	for	ADP
ajst-12720	35	13	each	each	DET
ajst-12720	35	14	individual	individual	ADJ
ajst-12720	35	15	vegetable	vegetable	NOUN
ajst-12720	35	16	item	item	NOUN
ajst-12720	35	17	was	be	AUX
ajst-12720	35	18	calculated	calculate	VERB
ajst-12720	35	19	,	,	PUNCT
ajst-12720	35	20	resulting	result	VERB
ajst-12720	35	21	in	in	ADP
ajst-12720	35	22	251	251	NUM
ajst-12720	35	23	linear	linear	ADJ
ajst-12720	35	24	regression	regression	NOUN
ajst-12720	35	25	models	model	NOUN
ajst-12720	35	26	that	that	PRON
ajst-12720	35	27	served	serve	VERB
ajst-12720	35	28	as	as	ADP
ajst-12720	35	29	constraints	constraint	NOUN
ajst-12720	35	30	on	on	ADP
ajst-12720	35	31	the	the	DET
ajst-12720	35	32	equation	equation	NOUN
ajst-12720	35	33	.	.	PUNCT
ajst-12720	36	1	using	use	VERB
ajst-12720	36	2	the	the	DET
ajst-12720	36	3	solution	solution	NOUN
ajst-12720	36	4	of	of	ADP
ajst-12720	36	5	the	the	DET
ajst-12720	36	6	assignment	assignment	NOUN
ajst-12720	36	7	problem	problem	NOUN
ajst-12720	36	8	,	,	PUNCT
ajst-12720	36	9	for	for	ADP
ajst-12720	36	10	251	251	NUM
ajst-12720	36	11	individual	individual	ADJ
ajst-12720	36	12	vegetable	vegetable	NOUN
ajst-12720	36	13	items	item	NOUN
ajst-12720	36	14	,	,	PUNCT
ajst-12720	36	15	different	different	ADJ
ajst-12720	36	16	combinations	combination	NOUN
ajst-12720	36	17	of	of	ADP
ajst-12720	36	18	vegetables	vegetable	NOUN
ajst-12720	36	19	need	need	VERB
ajst-12720	36	20	to	to	PART
ajst-12720	36	21	be	be	AUX
ajst-12720	36	22	selected	select	VERB
ajst-12720	36	23	each	each	DET
ajst-12720	36	24	day	day	NOUN
ajst-12720	36	25	.	.	PUNCT
ajst-12720	37	1	therefore	therefore	ADV
ajst-12720	37	2	,	,	PUNCT
ajst-12720	37	3	it	it	PRON
ajst-12720	37	4	is	be	AUX
ajst-12720	37	5	necessary	necessary	ADJ
ajst-12720	37	6	to	to	PART
ajst-12720	37	7	introduce	introduce	VERB
ajst-12720	37	8	the	the	DET
ajst-12720	37	9	variable	variable	ADJ
ajst-12720	37	10	x𝑖	x𝑖	NOUN
ajst-12720	37	11	0	0	NUM
ajst-12720	37	12	or	or	CCONJ
ajst-12720	37	13	1	1	NUM
ajst-12720	37	14	where	where	SCONJ
ajst-12720	37	15	i=1	i=1	PROPN
ajst-12720	37	16	,	,	PUNCT
ajst-12720	37	17	2	2	NUM
ajst-12720	37	18	,	,	PUNCT
ajst-12720	37	19	3	3	NUM
ajst-12720	37	20	,	,	PUNCT
ajst-12720	37	21	…	…	PUNCT
ajst-12720	37	22	,	,	PUNCT
ajst-12720	37	23	251	251	NUM
ajst-12720	37	24	.	.	PUNCT
ajst-12720	38	1	x𝑖	x𝑖	PROPN
ajst-12720	38	2	is	be	AUX
ajst-12720	38	3	a	a	DET
ajst-12720	38	4	0	0	NUM
ajst-12720	38	5	-	-	SYM
ajst-12720	38	6	1	1	NUM
ajst-12720	38	7	variable	variable	NOUN
ajst-12720	38	8	,	,	PUNCT
ajst-12720	38	9	where	where	SCONJ
ajst-12720	38	10	a	a	DET
ajst-12720	38	11	value	value	NOUN
ajst-12720	38	12	of	of	ADP
ajst-12720	38	13	1	1	NUM
ajst-12720	38	14	means	mean	VERB
ajst-12720	38	15	that	that	SCONJ
ajst-12720	38	16	the	the	DET
ajst-12720	38	17	vegetable	vegetable	NOUN
ajst-12720	38	18	item	item	NOUN
ajst-12720	38	19	is	be	AUX
ajst-12720	38	20	sold	sell	VERB
ajst-12720	38	21	and	and	CCONJ
ajst-12720	38	22	a	a	DET
ajst-12720	38	23	value	value	NOUN
ajst-12720	38	24	of	of	ADP
ajst-12720	38	25	0	0	NUM
ajst-12720	38	26	means	mean	VERB
ajst-12720	38	27	that	that	SCONJ
ajst-12720	38	28	it	it	PRON
ajst-12720	38	29	is	be	AUX
ajst-12720	38	30	sold	sell	VERB
ajst-12720	38	31	on	on	ADP
ajst-12720	38	32	the	the	DET
ajst-12720	38	33	same	same	ADJ
ajst-12720	38	34	day	day	NOUN
ajst-12720	38	35	.	.	PUNCT
ajst-12720	39	1	therefore	therefore	ADV
ajst-12720	39	2	,	,	PUNCT
ajst-12720	39	3	the	the	DET
ajst-12720	39	4	switching	switch	VERB
ajst-12720	39	5	variable	variable	NOUN
ajst-12720	39	6	xi	xi	ADP
ajst-12720	39	7	summation	summation	NOUN
ajst-12720	39	8	to	to	PART
ajst-12720	39	9	represent	represent	VERB
ajst-12720	39	10	the	the	DET
ajst-12720	39	11	total	total	ADJ
ajst-12720	39	12	number	number	NOUN
ajst-12720	39	13	of	of	ADP
ajst-12720	39	14	individual	individual	ADJ
ajst-12720	39	15	items	item	NOUN
ajst-12720	39	16	control	control	NOUN
ajst-12720	39	17	constraint	constraint	NOUN
ajst-12720	39	18	.	.	PUNCT
ajst-12720	40	1	that	that	PRON
ajst-12720	40	2	is	be	AUX
ajst-12720	40	3	,	,	PUNCT
ajst-12720	40	4	27	27	NUM
ajst-12720	40	5	∑	∑	PROPN
ajst-12720	40	6	x	x	SYM
ajst-12720	40	7	33	33	NUM
ajst-12720	40	8	(	(	PUNCT
ajst-12720	40	9	9	9	NUM
ajst-12720	40	10	)	)	PUNCT
ajst-12720	40	11	for	for	ADP
ajst-12720	40	12	each	each	DET
ajst-12720	40	13	individual	individual	ADJ
ajst-12720	40	14	item	item	NOUN
ajst-12720	40	15	ordered	order	VERB
ajst-12720	40	16	to	to	PART
ajst-12720	40	17	satisfy	satisfy	VERB
ajst-12720	40	18	the	the	DET
ajst-12720	40	19	minimum	minimum	ADJ
ajst-12720	40	20	display	display	NOUN
ajst-12720	40	21	quantity	quantity	NOUN
ajst-12720	40	22	constraint	constraint	NOUN
ajst-12720	40	23	,	,	PUNCT
ajst-12720	40	24	which	which	PRON
ajst-12720	40	25	can	can	AUX
ajst-12720	40	26	be	be	AUX
ajst-12720	40	27	expressed	express	VERB
ajst-12720	40	28	as	as	ADP
ajst-12720	40	29	the	the	DET
ajst-12720	40	30	total	total	ADJ
ajst-12720	40	31	amount	amount	NOUN
ajst-12720	40	32	of	of	ADP
ajst-12720	40	33	each	each	DET
ajst-12720	40	34	individual	individual	ADJ
ajst-12720	40	35	item	item	NOUN
ajst-12720	40	36	xi	xi	NOUN
ajst-12720	40	37	,	,	PUNCT
ajst-12720	40	38	i=1,2,3,	i=1,2,3,	NOUN
ajst-12720	40	39	...	...	PUNCT
ajst-12720	40	40	,251	,251	PROPN
ajst-12720	40	41	.	.	PUNCT
ajst-12720	41	1	when	when	SCONJ
ajst-12720	41	2	a	a	DET
ajst-12720	41	3	need	need	NOUN
ajst-12720	41	4	is	be	AUX
ajst-12720	41	5	greater	great	ADJ
ajst-12720	41	6	than	than	ADP
ajst-12720	41	7	2.5	2.5	NUM
ajst-12720	41	8	kg	kg	NOUN
ajst-12720	41	9	,	,	PUNCT
ajst-12720	41	10	then	then	ADV
ajst-12720	41	11	it	it	PRON
ajst-12720	41	12	can	can	AUX
ajst-12720	41	13	be	be	AUX
ajst-12720	41	14	expressed	express	VERB
ajst-12720	41	15	as	as	ADP
ajst-12720	41	16	xi	xi	PROPN
ajst-12720	41	17	>	>	X
ajst-12720	41	18	2.5	2.5	NUM
ajst-12720	41	19	,	,	PUNCT
ajst-12720	41	20	i=1,2,3,	i=1,2,3,	NOUN
ajst-12720	41	21	.	.	PUNCT
ajst-12720	41	22	,251	,251	PROPN
ajst-12720	41	23	.	.	PUNCT
ajst-12720	42	1	for	for	ADP
ajst-12720	42	2	the	the	DET
ajst-12720	42	3	calculation	calculation	NOUN
ajst-12720	42	4	of	of	ADP
ajst-12720	42	5	profit	profit	NOUN
ajst-12720	42	6	,	,	PUNCT
ajst-12720	42	7	we	we	PRON
ajst-12720	42	8	follow	follow	VERB
ajst-12720	42	9	our	our	PRON
ajst-12720	42	10	previous	previous	ADJ
ajst-12720	42	11	understanding	understanding	NOUN
ajst-12720	42	12	and	and	CCONJ
ajst-12720	42	13	set	set	VERB
ajst-12720	42	14	yi	yi	PROPN
ajst-12720	42	15	to	to	PART
ajst-12720	42	16	be	be	AUX
ajst-12720	42	17	the	the	DET
ajst-12720	42	18	profit	profit	NOUN
ajst-12720	42	19	margin	margin	NOUN
ajst-12720	42	20	.	.	PUNCT
ajst-12720	43	1	thus	thus	ADV
ajst-12720	43	2	,	,	PUNCT
ajst-12720	43	3	the	the	DET
ajst-12720	43	4	pricing	pricing	NOUN
ajst-12720	43	5	of	of	ADP
ajst-12720	43	6	each	each	DET
ajst-12720	43	7	individual	individual	ADJ
ajst-12720	43	8	product	product	NOUN
ajst-12720	43	9	can	can	AUX
ajst-12720	43	10	be	be	AUX
ajst-12720	43	11	expressed	express	VERB
ajst-12720	43	12	as	as	ADP
ajst-12720	43	13	𝑧	𝑧	PROPN
ajst-12720	43	14	1	1	NUM
ajst-12720	43	15	𝑦	𝑦	PROPN
ajst-12720	43	16	𝑐	𝑐	PROPN
ajst-12720	43	17	(	(	PUNCT
ajst-12720	43	18	10	10	NUM
ajst-12720	43	19	)	)	PUNCT
ajst-12720	43	20	where	where	SCONJ
ajst-12720	43	21	𝑧	𝑧	PRON
ajst-12720	43	22	denotes	denote	VERB
ajst-12720	43	23	the	the	DET
ajst-12720	43	24	pricing	pricing	NOUN
ajst-12720	43	25	of	of	ADP
ajst-12720	43	26	item	item	NOUN
ajst-12720	43	27	i	i	PRON
ajst-12720	43	28	,	,	PUNCT
ajst-12720	43	29	and	and	CCONJ
ajst-12720	43	30	𝑐	𝑐	PROPN
ajst-12720	43	31	denotes	denote	VERB
ajst-12720	43	32	the	the	DET
ajst-12720	43	33	stock	stock	NOUN
ajst-12720	43	34	price	price	NOUN
ajst-12720	43	35	of	of	ADP
ajst-12720	43	36	item	item	NOUN
ajst-12720	43	37	i	i	PRON
ajst-12720	43	38	,	,	PUNCT
ajst-12720	43	39	therefore	therefore	ADV
ajst-12720	43	40	,	,	PUNCT
ajst-12720	43	41	the	the	DET
ajst-12720	43	42	final	final	ADJ
ajst-12720	43	43	total	total	ADJ
ajst-12720	43	44	profit	profit	NOUN
ajst-12720	43	45	is	be	AUX
ajst-12720	43	46	expressed	express	VERB
ajst-12720	43	47	as	as	ADP
ajst-12720	43	48	𝑦	𝑦	X
ajst-12720	43	49	∑	∑	PROPN
ajst-12720	43	50	𝑦	𝑦	NOUN
ajst-12720	43	51	𝑣	𝑣	NOUN
ajst-12720	43	52	.	.	PUNCT
ajst-12720	44	1	in	in	ADP
ajst-12720	44	2	summary	summary	NOUN
ajst-12720	44	3	,	,	PUNCT
ajst-12720	44	4	the	the	DET
ajst-12720	44	5	optimisation	optimisation	NOUN
ajst-12720	44	6	model	model	NOUN
ajst-12720	44	7	constructed	construct	VERB
ajst-12720	44	8	is	be	AUX
ajst-12720	44	9	shown	show	VERB
ajst-12720	44	10	below	below	ADP
ajst-12720	44	11	.	.	PUNCT
ajst-12720	45	1	𝑚𝑎𝑥𝑌	𝑚𝑎𝑥𝑌	CCONJ
ajst-12720	45	2	∑	∑	ADP
ajst-12720	45	3	𝑥	𝑥	PART
ajst-12720	45	4	𝑤	𝑤	ADP
ajst-12720	45	5	𝑣	𝑣	X
ajst-12720	45	6	(	(	PUNCT
ajst-12720	45	7	11	11	NUM
ajst-12720	45	8	)	)	PUNCT
ajst-12720	45	9	𝑧	𝑧	PRON
ajst-12720	45	10	1	1	NUM
ajst-12720	45	11	𝑦𝑖	𝑦𝑖	NUM
ajst-12720	45	12	𝑐𝑖	𝑐𝑖	PROPN
ajst-12720	45	13	𝑦	𝑦	PROPN
ajst-12720	45	14	𝑘𝑥	𝑘𝑥	NOUN
ajst-12720	45	15	𝑏	𝑏	PROPN
ajst-12720	45	16	(	(	PUNCT
ajst-12720	45	17	12	12	NUM
ajst-12720	45	18	)	)	PUNCT
ajst-12720	45	19	27	27	NUM
ajst-12720	45	20	∑	∑	PUNCT
ajst-12720	45	21	𝑥	𝑥	PROPN
ajst-12720	45	22	33	33	NUM
ajst-12720	45	23	𝑥	𝑥	NOUN
ajst-12720	45	24	2.5	2.5	NUM
ajst-12720	45	25	,	,	PUNCT
ajst-12720	45	26	𝑖	𝑖	PROPN
ajst-12720	45	27	1,2,3	1,2,3	NUM
ajst-12720	45	28	…	…	PUNCT
ajst-12720	45	29	251	251	NUM
ajst-12720	45	30	(	(	PUNCT
ajst-12720	45	31	13	13	NUM
ajst-12720	45	32	)	)	PUNCT
ajst-12720	45	33	since	since	SCONJ
ajst-12720	45	34	the	the	DET
ajst-12720	45	35	planning	planning	NOUN
ajst-12720	45	36	model	model	NOUN
ajst-12720	45	37	we	we	PRON
ajst-12720	45	38	have	have	AUX
ajst-12720	45	39	built	build	VERB
ajst-12720	45	40	is	be	AUX
ajst-12720	45	41	solved	solve	VERB
ajst-12720	45	42	directly	directly	ADV
ajst-12720	45	43	,	,	PUNCT
ajst-12720	45	44	whether	whether	SCONJ
ajst-12720	45	45	using	use	VERB
ajst-12720	45	46	lingo	lingo	NOUN
ajst-12720	45	47	or	or	CCONJ
ajst-12720	45	48	matlab	matlab	PROPN
ajst-12720	45	49	,	,	PUNCT
ajst-12720	45	50	we	we	PRON
ajst-12720	45	51	will	will	AUX
ajst-12720	45	52	face	face	VERB
ajst-12720	45	53	a	a	DET
ajst-12720	45	54	huge	huge	ADJ
ajst-12720	45	55	amount	amount	NOUN
ajst-12720	45	56	of	of	ADP
ajst-12720	45	57	computation	computation	NOUN
ajst-12720	45	58	and	and	CCONJ
ajst-12720	45	59	consume	consume	VERB
ajst-12720	45	60	a	a	DET
ajst-12720	45	61	lot	lot	NOUN
ajst-12720	45	62	of	of	ADP
ajst-12720	45	63	time	time	NOUN
ajst-12720	45	64	.	.	PUNCT
ajst-12720	46	1	therefore	therefore	ADV
ajst-12720	46	2	,	,	PUNCT
ajst-12720	46	3	for	for	ADP
ajst-12720	46	4	the	the	DET
ajst-12720	46	5	multivariate	multivariate	NOUN
ajst-12720	46	6	planning	planning	NOUN
ajst-12720	46	7	model	model	NOUN
ajst-12720	46	8	we	we	PRON
ajst-12720	46	9	built	build	VERB
ajst-12720	46	10	,	,	PUNCT
ajst-12720	46	11	we	we	PRON
ajst-12720	46	12	solved	solve	VERB
ajst-12720	46	13	it	it	PRON
ajst-12720	46	14	using	use	VERB
ajst-12720	46	15	multi	multi	ADJ
ajst-12720	46	16	-	-	ADJ
ajst-12720	46	17	objective	objective	ADJ
ajst-12720	46	18	particle	particle	NOUN
ajst-12720	46	19	swarm	swarm	NOUN
ajst-12720	46	20	optimisation	optimisation	NOUN
ajst-12720	46	21	algorithm	algorithm	NOUN
ajst-12720	46	22	.	.	PUNCT
ajst-12720	47	1	the	the	DET
ajst-12720	47	2	total	total	ADJ
ajst-12720	47	3	profit	profit	NOUN
ajst-12720	47	4	of	of	ADP
ajst-12720	47	5	¥	¥	PROPN
ajst-12720	47	6	722.335	722.335	NUM
ajst-12720	47	7	is	be	AUX
ajst-12720	47	8	finally	finally	ADV
ajst-12720	47	9	obtained	obtain	VERB
ajst-12720	47	10	for	for	ADP
ajst-12720	47	11	a	a	DET
ajst-12720	47	12	total	total	NOUN
ajst-12720	47	13	of	of	ADP
ajst-12720	47	14	33	33	NUM
ajst-12720	47	15	categories	category	NOUN
ajst-12720	47	16	of	of	ADP
ajst-12720	47	17	individual	individual	ADJ
ajst-12720	47	18	products	product	NOUN
ajst-12720	47	19	.	.	PUNCT
ajst-12720	48	1	3	3	X
ajst-12720	48	2	.	.	X
ajst-12720	48	3	model	model	NOUN
ajst-12720	48	4	evaluation	evaluation	NOUN
ajst-12720	48	5	the	the	DET
ajst-12720	48	6	advantages	advantage	NOUN
ajst-12720	48	7	of	of	ADP
ajst-12720	48	8	the	the	DET
ajst-12720	48	9	model	model	NOUN
ajst-12720	48	10	proposed	propose	VERB
ajst-12720	48	11	in	in	ADP
ajst-12720	48	12	this	this	DET
ajst-12720	48	13	paper	paper	NOUN
ajst-12720	48	14	are	be	AUX
ajst-12720	48	15	:	:	PUNCT
ajst-12720	48	16	bilstm	bilstm	NOUN
ajst-12720	48	17	is	be	AUX
ajst-12720	48	18	suitable	suitable	ADJ
ajst-12720	48	19	for	for	ADP
ajst-12720	48	20	dealing	deal	VERB
ajst-12720	48	21	with	with	ADP
ajst-12720	48	22	long	long	ADJ
ajst-12720	48	23	-	-	PUNCT
ajst-12720	48	24	term	term	NOUN
ajst-12720	48	25	dependencies	dependency	NOUN
ajst-12720	48	26	and	and	CCONJ
ajst-12720	48	27	nonlinear	nonlinear	ADJ
ajst-12720	48	28	relationships	relationship	NOUN
ajst-12720	48	29	;	;	PUNCT
ajst-12720	48	30	it	it	PRON
ajst-12720	48	31	can	can	AUX
ajst-12720	48	32	better	well	ADV
ajst-12720	48	33	handle	handle	VERB
ajst-12720	48	34	large	large	ADJ
ajst-12720	48	35	-	-	PUNCT
ajst-12720	48	36	scale	scale	NOUN
ajst-12720	48	37	data	datum	NOUN
ajst-12720	48	38	and	and	CCONJ
ajst-12720	48	39	high	high	ADJ
ajst-12720	48	40	-	-	PUNCT
ajst-12720	48	41	dimensional	dimensional	ADJ
ajst-12720	48	42	data	datum	NOUN
ajst-12720	48	43	;	;	PUNCT
ajst-12720	48	44	it	it	PRON
ajst-12720	48	45	can	can	AUX
ajst-12720	48	46	capture	capture	VERB
ajst-12720	48	47	long	long	ADJ
ajst-12720	48	48	-	-	PUNCT
ajst-12720	48	49	term	term	NOUN
ajst-12720	48	50	patterns	pattern	NOUN
ajst-12720	48	51	and	and	CCONJ
ajst-12720	48	52	short	short	ADJ
ajst-12720	48	53	-	-	PUNCT
ajst-12720	48	54	term	term	NOUN
ajst-12720	48	55	fluctuations	fluctuation	NOUN
ajst-12720	48	56	in	in	ADP
ajst-12720	48	57	serial	serial	ADJ
ajst-12720	48	58	data	datum	NOUN
ajst-12720	48	59	;	;	PUNCT
ajst-12720	48	60	markov	markov	NOUN
ajst-12720	48	61	predicts	predict	VERB
ajst-12720	48	62	that	that	SCONJ
ajst-12720	48	63	when	when	SCONJ
ajst-12720	48	64	the	the	DET
ajst-12720	48	65	cumulative	cumulative	ADJ
ajst-12720	48	66	sales	sale	NOUN
ajst-12720	48	67	at	at	ADP
ajst-12720	48	68	the	the	DET
ajst-12720	48	69	present	present	ADJ
ajst-12720	48	70	moment	moment	NOUN
ajst-12720	48	71	are	be	AUX
ajst-12720	48	72	known	know	VERB
ajst-12720	48	73	,	,	PUNCT
ajst-12720	48	74	it	it	PRON
ajst-12720	48	75	can	can	AUX
ajst-12720	48	76	be	be	AUX
ajst-12720	48	77	used	use	VERB
ajst-12720	48	78	to	to	PART
ajst-12720	48	79	study	study	VERB
ajst-12720	48	80	the	the	DET
ajst-12720	48	81	sales	sale	NOUN
ajst-12720	48	82	of	of	ADP
ajst-12720	48	83	a	a	DET
ajst-12720	48	84	shop	shop	NOUN
ajst-12720	48	85	at	at	ADP
ajst-12720	48	86	a	a	DET
ajst-12720	48	87	certain	certain	ADJ
ajst-12720	48	88	point	point	NOUN
ajst-12720	48	89	in	in	ADP
ajst-12720	48	90	the	the	DET
ajst-12720	48	91	future	future	NOUN
ajst-12720	48	92	,	,	PUNCT
ajst-12720	48	93	which	which	PRON
ajst-12720	48	94	is	be	AUX
ajst-12720	48	95	very	very	ADV
ajst-12720	48	96	practical	practical	ADJ
ajst-12720	48	97	for	for	ADP
ajst-12720	48	98	solving	solve	VERB
ajst-12720	48	99	optimisation	optimisation	NOUN
ajst-12720	48	100	models	model	NOUN
ajst-12720	48	101	.	.	PUNCT
ajst-12720	49	1	however	however	ADV
ajst-12720	49	2	,	,	PUNCT
ajst-12720	49	3	a	a	DET
ajst-12720	49	4	small	small	ADJ
ajst-12720	49	5	sample	sample	NOUN
ajst-12720	49	6	of	of	ADP
ajst-12720	49	7	data	datum	NOUN
ajst-12720	49	8	may	may	AUX
ajst-12720	49	9	be	be	AUX
ajst-12720	49	10	overfitted	overfitte	VERB
ajst-12720	49	11	;	;	PUNCT
ajst-12720	49	12	the	the	DET
ajst-12720	49	13	selection	selection	NOUN
ajst-12720	49	14	and	and	CCONJ
ajst-12720	49	15	adjustment	adjustment	NOUN
ajst-12720	49	16	of	of	ADP
ajst-12720	49	17	model	model	NOUN
ajst-12720	49	18	parameters	parameter	NOUN
ajst-12720	49	19	are	be	AUX
ajst-12720	49	20	complicated	complicated	ADJ
ajst-12720	49	21	;	;	PUNCT
ajst-12720	49	22	i	i	PRON
ajst-12720	49	23	in	in	ADP
ajst-12720	49	24	addition	addition	NOUN
ajst-12720	49	25	,	,	PUNCT
ajst-12720	49	26	in	in	ADP
ajst-12720	49	27	the	the	DET
ajst-12720	49	28	analysis	analysis	NOUN
ajst-12720	49	29	of	of	ADP
ajst-12720	49	30	outliers	outlier	NOUN
ajst-12720	49	31	,	,	PUNCT
ajst-12720	49	32	the	the	DET
ajst-12720	49	33	processing	processing	NOUN
ajst-12720	49	34	will	will	AUX
ajst-12720	49	35	be	be	AUX
ajst-12720	49	36	highly	highly	ADV
ajst-12720	49	37	subjective	subjective	ADJ
ajst-12720	49	38	,	,	PUNCT
ajst-12720	49	39	if	if	SCONJ
ajst-12720	49	40	there	there	PRON
ajst-12720	49	41	is	be	VERB
ajst-12720	49	42	a	a	DET
ajst-12720	49	43	clear	clear	ADJ
ajst-12720	49	44	method	method	NOUN
ajst-12720	49	45	of	of	ADP
ajst-12720	49	46	dealing	deal	VERB
ajst-12720	49	47	with	with	ADP
ajst-12720	49	48	outliers	outlier	NOUN
ajst-12720	49	49	,	,	PUNCT
ajst-12720	49	50	the	the	DET
ajst-12720	49	51	impact	impact	NOUN
ajst-12720	49	52	of	of	ADP
ajst-12720	49	53	this	this	DET
ajst-12720	49	54	factor	factor	NOUN
ajst-12720	49	55	can	can	AUX
ajst-12720	49	56	be	be	AUX
ajst-12720	49	57	reduced	reduce	VERB
ajst-12720	49	58	.	.	PUNCT
ajst-12720	50	1	in	in	ADP
ajst-12720	50	2	addition	addition	NOUN
ajst-12720	50	3	,	,	PUNCT
ajst-12720	50	4	factors	factor	NOUN
ajst-12720	50	5	such	such	ADJ
ajst-12720	50	6	as	as	ADP
ajst-12720	50	7	predicted	predict	VERB
ajst-12720	50	8	sales	sale	NOUN
ajst-12720	50	9	volume	volume	NOUN
ajst-12720	50	10	may	may	AUX
ajst-12720	50	11	be	be	AUX
ajst-12720	50	12	non	non	ADJ
ajst-12720	50	13	-	-	ADJ
ajst-12720	50	14	linear	linear	ADJ
ajst-12720	50	15	,	,	PUNCT
ajst-12720	50	16	while	while	SCONJ
ajst-12720	50	17	in	in	ADP
ajst-12720	50	18	this	this	DET
ajst-12720	50	19	paper	paper	NOUN
ajst-12720	50	20	they	they	PRON
ajst-12720	50	21	are	be	AUX
ajst-12720	50	22	analysed	analyse	VERB
ajst-12720	50	23	as	as	ADP
ajst-12720	50	24	linear	linear	ADJ
ajst-12720	50	25	factors	factor	NOUN
ajst-12720	50	26	,	,	PUNCT
ajst-12720	50	27	which	which	PRON
ajst-12720	50	28	will	will	AUX
ajst-12720	50	29	lead	lead	VERB
ajst-12720	50	30	to	to	ADP
ajst-12720	50	31	certain	certain	ADJ
ajst-12720	50	32	errors	error	NOUN
ajst-12720	50	33	.	.	PUNCT
ajst-12720	51	1	the	the	DET
ajst-12720	51	2	optimisation	optimisation	NOUN
ajst-12720	51	3	class	class	NOUN
ajst-12720	51	4	model	model	NOUN
ajst-12720	51	5	is	be	AUX
ajst-12720	51	6	a	a	DET
ajst-12720	51	7	comprehensive	comprehensive	ADJ
ajst-12720	51	8	tool	tool	NOUN
ajst-12720	51	9	for	for	ADP
ajst-12720	51	10	selecting	select	VERB
ajst-12720	51	11	the	the	DET
ajst-12720	51	12	most	most	ADV
ajst-12720	51	13	reasonable	reasonable	ADJ
ajst-12720	51	14	solution	solution	NOUN
ajst-12720	51	15	from	from	ADP
ajst-12720	51	16	all	all	DET
ajst-12720	51	17	possible	possible	ADJ
ajst-12720	51	18	solutions	solution	NOUN
ajst-12720	51	19	to	to	PART
ajst-12720	51	20	reach	reach	VERB
ajst-12720	51	21	the	the	DET
ajst-12720	51	22	optimal	optimal	ADJ
ajst-12720	51	23	goal	goal	NOUN
ajst-12720	51	24	.	.	PUNCT
ajst-12720	52	1	the	the	DET
ajst-12720	52	2	model	model	NOUN
ajst-12720	52	3	includes	include	VERB
ajst-12720	52	4	several	several	ADJ
ajst-12720	52	5	steps	step	NOUN
ajst-12720	52	6	.	.	PUNCT
ajst-12720	53	1	such	such	ADJ
ajst-12720	53	2	as	as	ADP
ajst-12720	53	3	data	data	NOUN
ajst-12720	53	4	preprocessing	preprocessing	NOUN
ajst-12720	53	5	,	,	PUNCT
ajst-12720	53	6	statistical	statistical	ADJ
ajst-12720	53	7	analysis	analysis	NOUN
ajst-12720	53	8	,	,	PUNCT
ajst-12720	53	9	and	and	CCONJ
ajst-12720	53	10	correlation	correlation	NOUN
ajst-12720	53	11	analysis	analysis	NOUN
ajst-12720	53	12	.	.	PUNCT
ajst-12720	54	1	this	this	PRON
ajst-12720	54	2	can	can	AUX
ajst-12720	54	3	be	be	AUX
ajst-12720	54	4	extended	extend	VERB
ajst-12720	54	5	to	to	ADP
ajst-12720	54	6	dynamic	dynamic	ADJ
ajst-12720	54	7	programming	programming	NOUN
ajst-12720	54	8	(	(	PUNCT
ajst-12720	54	9	english	english	NOUN
ajst-12720	54	10	:	:	PUNCT
ajst-12720	54	11	dp	dp	PROPN
ajst-12720	54	12	)	)	PUNCT
ajst-12720	54	13	,	,	PUNCT
ajst-12720	54	14	a	a	DET
ajst-12720	54	15	method	method	NOUN
ajst-12720	54	16	used	use	VERB
ajst-12720	54	17	in	in	ADP
ajst-12720	54	18	mathematics	mathematic	NOUN
ajst-12720	54	19	,	,	PUNCT
ajst-12720	54	20	management	management	NOUN
ajst-12720	54	21	science	science	NOUN
ajst-12720	54	22	,	,	PUNCT
ajst-12720	54	23	computer	computer	NOUN
ajst-12720	54	24	science	science	NOUN
ajst-12720	54	25	,	,	PUNCT
ajst-12720	54	26	economics	economic	NOUN
ajst-12720	54	27	,	,	PUNCT
ajst-12720	54	28	and	and	CCONJ
ajst-12720	54	29	bioinformatics	bioinformatic	NOUN
ajst-12720	54	30	to	to	PART
ajst-12720	54	31	solve	solve	VERB
ajst-12720	54	32	complex	complex	ADJ
ajst-12720	54	33	problems	problem	NOUN
ajst-12720	54	34	by	by	ADP
ajst-12720	54	35	decomposing	decompose	VERB
ajst-12720	54	36	the	the	DET
ajst-12720	54	37	original	original	ADJ
ajst-12720	54	38	problem	problem	NOUN
ajst-12720	54	39	into	into	ADP
ajst-12720	54	40	relatively	relatively	ADV
ajst-12720	54	41	simple	simple	ADJ
ajst-12720	54	42	subproblems	subproblem	NOUN
ajst-12720	54	43	.	.	PUNCT
ajst-12720	55	1	it	it	PRON
ajst-12720	55	2	is	be	AUX
ajst-12720	55	3	used	use	VERB
ajst-12720	55	4	for	for	ADP
ajst-12720	55	5	finding	find	VERB
ajst-12720	55	6	the	the	DET
ajst-12720	55	7	maximum	maximum	ADJ
ajst-12720	55	8	value	value	NOUN
ajst-12720	55	9	,	,	PUNCT
ajst-12720	55	10	resource	resource	NOUN
ajst-12720	55	11	allocation	allocation	NOUN
ajst-12720	55	12	problems	problem	NOUN
ajst-12720	55	13	such	such	ADJ
ajst-12720	55	14	as	as	ADP
ajst-12720	55	15	the	the	DET
ajst-12720	55	16	fibonacci	fibonacci	PROPN
ajst-12720	55	17	series	series	PROPN
ajst-12720	55	18	problem	problem	PROPN
ajst-12720	55	19	,	,	PUNCT
ajst-12720	55	20	the	the	DET
ajst-12720	55	21	step	step	NOUN
ajst-12720	55	22	-	-	PUNCT
ajst-12720	55	23	up	up	ADP
ajst-12720	55	24	problem	problem	NOUN
ajst-12720	55	25	,	,	PUNCT
ajst-12720	55	26	the	the	DET
ajst-12720	55	27	maximum	maximum	ADJ
ajst-12720	55	28	continuous	continuous	ADJ
ajst-12720	55	29	substring	substring	NOUN
ajst-12720	55	30	problem	problem	NOUN
ajst-12720	55	31	,	,	PUNCT
ajst-12720	55	32	the	the	DET
ajst-12720	55	33	knapsack	knapsack	NOUN
ajst-12720	55	34	problem	problem	NOUN
ajst-12720	55	35	,	,	PUNCT
ajst-12720	55	36	the	the	DET
ajst-12720	55	37	make	make	VERB
ajst-12720	55	38	change	change	NOUN
ajst-12720	55	39	problem	problem	NOUN
ajst-12720	55	40	,	,	PUNCT
ajst-12720	55	41	etc	etc	X
ajst-12720	55	42	.	.	X
ajst-12720	55	43	;	;	PUNCT
ajst-12720	55	44	it	it	PRON
ajst-12720	55	45	can	can	AUX
ajst-12720	55	46	also	also	ADV
ajst-12720	55	47	be	be	AUX
ajst-12720	55	48	related	relate	VERB
ajst-12720	55	49	to	to	PART
ajst-12720	55	50	graph	graph	VERB
ajst-12720	55	51	theoretic	theoretic	ADJ
ajst-12720	55	52	problems	problem	NOUN
ajst-12720	55	53	,	,	PUNCT
ajst-12720	55	54	and	and	CCONJ
ajst-12720	55	55	then	then	ADV
ajst-12720	55	56	used	use	VERB
ajst-12720	55	57	to	to	PART
ajst-12720	55	58	solve	solve	VERB
ajst-12720	55	59	the	the	DET
ajst-12720	55	60	shortest	short	ADJ
ajst-12720	55	61	path	path	NOUN
ajst-12720	55	62	problem	problem	NOUN
ajst-12720	55	63	(	(	PUNCT
ajst-12720	55	64	spp	spp	NOUN
ajst-12720	55	65	)	)	PUNCT
ajst-12720	55	66	as	as	ADV
ajst-12720	55	67	well	well	ADV
ajst-12720	55	68	as	as	ADP
ajst-12720	55	69	the	the	DET
ajst-12720	55	70	(	(	PUNCT
ajst-12720	55	71	multi-)traveller	multi-)traveller	NOUN
ajst-12720	55	72	73	73	NUM
ajst-12720	55	73	problem	problem	NOUN
ajst-12720	55	74	by	by	ADP
ajst-12720	55	75	using	use	VERB
ajst-12720	55	76	dijkstra	dijkstra	PROPN
ajst-12720	55	77	's	's	PART
ajst-12720	55	78	algorithm	algorithm	NOUN
ajst-12720	55	79	,	,	PUNCT
ajst-12720	55	80	the	the	DET
ajst-12720	55	81	bellman	bellman	NOUN
ajst-12720	55	82	-	-	PUNCT
ajst-12720	55	83	ford	ford	PROPN
ajst-12720	55	84	algorithm	algorithm	NOUN
ajst-12720	55	85	,	,	PUNCT
ajst-12720	55	86	etc	etc	X
ajst-12720	55	87	.	.	X
ajst-12720	55	88	,	,	PUNCT
ajst-12720	55	89	so	so	SCONJ
ajst-12720	55	90	as	as	ADP
ajst-12720	55	91	to	to	ADP
ajst-12720	55	92	it	it	PRON
ajst-12720	55	93	can	can	AUX
ajst-12720	55	94	also	also	ADV
ajst-12720	55	95	be	be	AUX
ajst-12720	55	96	applied	apply	VERB
ajst-12720	55	97	to	to	ADP
ajst-12720	55	98	a	a	DET
ajst-12720	55	99	greater	great	ADJ
ajst-12720	55	100	extent	extent	NOUN
ajst-12720	55	101	to	to	ADP
ajst-12720	55	102	the	the	DET
ajst-12720	55	103	classification	classification	NOUN
ajst-12720	55	104	and	and	CCONJ
ajst-12720	55	105	regression	regression	NOUN
ajst-12720	55	106	of	of	ADP
ajst-12720	55	107	data	datum	NOUN
ajst-12720	55	108	.	.	PUNCT
ajst-12720	56	1	the	the	DET
ajst-12720	56	2	aim	aim	NOUN
ajst-12720	56	3	of	of	ADP
ajst-12720	56	4	this	this	DET
ajst-12720	56	5	paper	paper	NOUN
ajst-12720	56	6	is	be	AUX
ajst-12720	56	7	to	to	PART
ajst-12720	56	8	help	help	VERB
ajst-12720	56	9	supermarkets	supermarket	NOUN
ajst-12720	56	10	to	to	PART
ajst-12720	56	11	maximise	maximise	VERB
ajst-12720	56	12	their	their	PRON
ajst-12720	56	13	profits	profit	NOUN
ajst-12720	56	14	,	,	PUNCT
ajst-12720	56	15	satisfy	satisfy	VERB
ajst-12720	56	16	market	market	NOUN
ajst-12720	56	17	demands	demand	NOUN
ajst-12720	56	18	and	and	CCONJ
ajst-12720	56	19	improve	improve	VERB
ajst-12720	56	20	market	market	NOUN
ajst-12720	56	21	competitiveness	competitiveness	NOUN
ajst-12720	56	22	.	.	PUNCT
ajst-12720	57	1	references	reference	NOUN
ajst-12720	57	2	[	[	X
ajst-12720	57	3	1	1	X
ajst-12720	57	4	]	]	PUNCT
ajst-12720	57	5	wang	wang	PROPN
ajst-12720	57	6	yan	yan	PROPN
ajst-12720	57	7	.	.	PUNCT
ajst-12720	58	1	an	an	DET
ajst-12720	58	2	analysis	analysis	NOUN
ajst-12720	58	3	of	of	ADP
ajst-12720	58	4	the	the	DET
ajst-12720	58	5	influencing	influence	VERB
ajst-12720	58	6	factors	factor	NOUN
ajst-12720	58	7	of	of	ADP
ajst-12720	58	8	pricing	pricing	NOUN
ajst-12720	58	9	and	and	CCONJ
ajst-12720	58	10	its	its	PRON
ajst-12720	58	11	pricing	pricing	NOUN
ajst-12720	58	12	strategy	strategy	NOUN
ajst-12720	58	13	in	in	ADP
ajst-12720	58	14	small	small	ADJ
ajst-12720	58	15	and	and	CCONJ
ajst-12720	58	16	medium	medium	ADJ
ajst-12720	58	17	-	-	PUNCT
ajst-12720	58	18	sized	sized	ADJ
ajst-12720	58	19	supermarket	supermarket	NOUN
ajst-12720	58	20	chains[j	chains[j	PROPN
ajst-12720	58	21	]	]	PUNCT
ajst-12720	58	22	.	.	PUNCT
ajst-12720	59	1	journal	journal	PROPN
ajst-12720	59	2	of	of	ADP
ajst-12720	59	3	lanzhou	lanzhou	PROPN
ajst-12720	59	4	institute	institute	PROPN
ajst-12720	59	5	of	of	ADP
ajst-12720	59	6	technology	technology	PROPN
ajst-12720	59	7	,	,	PUNCT
ajst-12720	59	8	2014	2014	NUM
ajst-12720	59	9	,	,	PUNCT
ajst-12720	59	10	21	21	NUM
ajst-12720	59	11	(	(	PUNCT
ajst-12720	59	12	03	03	NUM
ajst-12720	59	13	):	):	PUNCT
ajst-12720	59	14	99	99	NUM
ajst-12720	59	15	-	-	SYM
ajst-12720	59	16	102	102	NUM
ajst-12720	59	17	.	.	PUNCT
ajst-12720	60	1	[	[	X
ajst-12720	60	2	2	2	NUM
ajst-12720	60	3	]	]	X
ajst-12720	60	4	cheng	cheng	PROPN
ajst-12720	60	5	juanjuan	juanjuan	PROPN
ajst-12720	60	6	.	.	PUNCT
ajst-12720	61	1	an	an	DET
ajst-12720	61	2	empirical	empirical	ADJ
ajst-12720	61	3	study	study	NOUN
ajst-12720	61	4	on	on	ADP
ajst-12720	61	5	the	the	DET
ajst-12720	61	6	relationship	relationship	NOUN
ajst-12720	61	7	between	between	ADP
ajst-12720	61	8	research	research	NOUN
ajst-12720	61	9	and	and	CCONJ
ajst-12720	61	10	teaching	teaching	NOUN
ajst-12720	61	11	in	in	ADP
ajst-12720	61	12	colleges	college	NOUN
ajst-12720	61	13	and	and	CCONJ
ajst-12720	61	14	universities	university	NOUN
ajst-12720	61	15	--	--	PUNCT
ajst-12720	61	16	an	an	DET
ajst-12720	61	17	analysis	analysis	NOUN
ajst-12720	61	18	based	base	VERB
ajst-12720	61	19	on	on	ADP
ajst-12720	61	20	pearson	pearson	PROPN
ajst-12720	61	21	correlation	correlation	NOUN
ajst-12720	61	22	coefficient|j	coefficient|j	PROPN
ajst-12720	61	23	]	]	X
ajst-12720	61	24	.	.	PUNCT
ajst-12720	62	1	science	science	NOUN
ajst-12720	62	2	and	and	CCONJ
ajst-12720	62	3	technology	technology	NOUN
ajst-12720	62	4	in	in	ADP
ajst-12720	62	5	chinese	chinese	ADJ
ajst-12720	62	6	colleges	college	NOUN
ajst-12720	62	7	and	and	CCONJ
ajst-12720	62	8	universities	university	NOUN
ajst-12720	62	9	,	,	PUNCT
ajst-12720	62	10	2022	2022	NUM
ajst-12720	62	11	,	,	PUNCT
ajst-12720	62	12	no.410(10	no.410(10	PROPN
ajst-12720	62	13	):	):	PUNCT
ajst-12720	62	14	46	46	NUM
ajst-12720	62	15	-	-	SYM
ajst-12720	62	16	52	52	NUM
ajst-12720	62	17	.	.	PUNCT
ajst-12720	63	1	[	[	X
ajst-12720	63	2	3	3	X
ajst-12720	63	3	]	]	PUNCT
ajst-12720	63	4	j.	j.	PROPN
ajst-12720	63	5	h.	h.	PROPN
ajst-12720	63	6	li	li	PROPN
ajst-12720	63	7	,	,	PUNCT
ajst-12720	63	8	q.	q.	PROPN
ajst-12720	63	9	y.	y.	PROPN
ajst-12720	63	10	wang	wang	PROPN
ajst-12720	63	11	,	,	PUNCT
ajst-12720	63	12	y.	y.	PROPN
ajst-12720	63	13	l.	l.	PROPN
ajst-12720	63	14	fan	fan	PROPN
ajst-12720	63	15	,	,	PUNCT
ajst-12720	63	16	et	et	PROPN
ajst-12720	63	17	al	al	PROPN
ajst-12720	63	18	.	.	PROPN
ajst-12720	63	19	whale	whale	PROPN
ajst-12720	63	20	optimization	optimization	NOUN
ajst-12720	63	21	algorithm	algorithm	NOUN
ajst-12720	63	22	-	-	PUNCT
ajst-12720	63	23	bidirectional	bidirectional	NOUN
ajst-12720	63	24	long	long	ADJ
ajst-12720	63	25	and	and	CCONJ
ajst-12720	63	26	short	short	ADJ
ajst-12720	63	27	-	-	PUNCT
ajst-12720	63	28	term	term	NOUN
ajst-12720	63	29	memory	memory	NOUN
ajst-12720	63	30	neural	neural	ADJ
ajst-12720	63	31	network	network	NOUN
ajst-12720	63	32	for	for	ADP
ajst-12720	63	33	prediction	prediction	NOUN
ajst-12720	63	34	of	of	ADP
ajst-12720	63	35	mechanical	mechanical	ADJ
ajst-12720	63	36	remaining	remain	VERB
ajst-12720	63	37	life	life	NOUN
ajst-12720	63	38	of	of	ADP
ajst-12720	63	39	circuit	circuit	NOUN
ajst-12720	63	40	breakers[j	breakers[j	PROPN
ajst-12720	63	41	/	/	SYM
ajst-12720	63	42	ol	ol	PROPN
ajst-12720	63	43	]	]	PUNCT
ajst-12720	63	44	.	.	PUNCT
ajst-12720	64	1	high	high	ADJ
ajst-12720	64	2	voltage	voltage	NOUN
ajst-12720	64	3	technology:1	technology:1	NOUN
ajst-12720	64	4	-	-	PUNCT
ajst-12720	64	5	13[2023	13[2023	NUM
ajst-12720	64	6	-	-	PUNCT
ajst-12720	64	7	0915].doi:10.13336	0915].doi:10.13336	NOUN
ajst-12720	64	8	/	/	SYM
ajst-12720	64	9	j.1003	j.1003	NOUN
ajst-12720	64	10	-	-	PUNCT
ajst-12720	64	11	6520.hve.20230013	6520.hve.20230013	NUM
ajst-12720	64	12	.	.	PUNCT
ajst-12720	65	1	[	[	X
ajst-12720	65	2	4	4	NUM
ajst-12720	65	3	]	]	X
ajst-12720	65	4	cheng	cheng	PROPN
ajst-12720	65	5	yuandong	yuandong	PROPN
ajst-12720	65	6	;	;	PUNCT
ajst-12720	65	7	yu	yu	PROPN
ajst-12720	65	8	kexin	kexin	PROPN
ajst-12720	65	9	;	;	PUNCT
ajst-12720	65	10	li	li	PROPN
ajst-12720	65	11	xianyang	xianyang	PROPN
ajst-12720	65	12	.	.	PUNCT
ajst-12720	66	1	regional	regional	ADJ
ajst-12720	66	2	logistics	logistic	NOUN
ajst-12720	66	3	demand	demand	NOUN
ajst-12720	66	4	forecasting	forecasting	NOUN
ajst-12720	66	5	based	base	VERB
ajst-12720	66	6	on	on	ADP
ajst-12720	66	7	weighted	weight	VERB
ajst-12720	66	8	markovarima	markovarima	PROPN
ajst-12720	66	9	modified	modify	VERB
ajst-12720	66	10	model[jj	model[jj	PROPN
ajst-12720	66	11	.	.	PUNCT
ajst-12720	67	1	journal	journal	PROPN
ajst-12720	67	2	of	of	ADP
ajst-12720	67	3	shandong	shandong	PROPN
ajst-12720	67	4	jiaotong	jiaotong	PROPN
ajst-12720	67	5	college	college	PROPN
ajst-12720	67	6	,	,	PUNCT
ajst-12720	67	7	2023,31	2023,31	NUM
ajst-12720	67	8	(	(	PUNCT
ajst-12720	67	9	03):22	03):22	NOUN
ajst-12720	67	10	-	-	PUNCT
ajst-12720	67	11	28	28	NUM
ajst-12720	67	12	.	.	PUNCT
ajst-12720	68	1	[	[	X
ajst-12720	68	2	5	5	NUM
ajst-12720	68	3	]	]	X
ajst-12720	68	4	li	li	PROPN
ajst-12720	68	5	weiwei	weiwei	PROPN
ajst-12720	68	6	.	.	PUNCT
ajst-12720	68	7	unbiased	unbiased	ADJ
ajst-12720	68	8	grey	grey	ADJ
ajst-12720	68	9	markov	markov	PROPN
ajst-12720	68	10	optimization	optimization	NOUN
ajst-12720	68	11	model	model	NOUN
ajst-12720	68	12	and	and	CCONJ
ajst-12720	68	13	its	its	PRON
ajst-12720	68	14	application	application	NOUN
ajst-12720	68	15	in	in	ADP
ajst-12720	68	16	merchandising	merchandising	NOUN
ajst-12720	68	17	forecasting[c	forecasting[c	NOUN
ajst-12720	68	18	]	]	PUNCT
ajst-12720	68	19	.	.	PUNCT
ajst-12720	69	1	harbin	harbin	PROPN
ajst-12720	69	2	institute	institute	PROPN
ajst-12720	69	3	of	of	ADP
ajst-12720	69	4	technology	technology	PROPN
ajst-12720	69	5	,	,	PUNCT
ajst-12720	69	6	2015	2015	NUM
ajst-12720	69	7	.	.	PUNCT