@article{zhang_garment_2020,
	title = {Garment knowledge base development based on fuzzy technology for recommendation system},
	volume = {71},
	issn = {12225347},
	url = {http://revistaindustriatextila.ro/images/2020/5/002%20JUNJIE%20ZHANG_Industria%20Textila%205_2020.pdf},
	doi = {10.35530/IT.071.05.1724},
	abstract = {With the rapid development of garments recommendation systems, more and more garment knowledge base have been
widely developed. The research in this paper aims to build a garment knowledge base in order to help general
consumers to identify the most relevant products satisfying their specific requirements. We design four experiments for
building this knowledge base by 8 pairs of normalized sensory evaluation criteria for describing both consumers’
expectations and product profile. The theory of fuzzy composition technology is applied for setting up garment
knowledge base which can be used for consumer-oriented intelligent garment recommendation system. Compared with
the other knowledge base, this knowledge base is more robust and more interpretable owing to its capacity of handling
vague, imprecise, uncertain, or ambiguous.},
	number = {05},
	urldate = {2020-10-30},
	journal = {Industria Textila},
	author = {Zhang, Junjie and Zeng, Xianyi and Dong, Min and Li, Weibo and Yuan, Hua},
	month = oct,
	year = {2020},
	pages = {421--426},
}