Garment knowledge base development based ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
Garment knowledge base development based on fuzzy technology for recommendation system
Auteur(s) :
Zhang, Junjie [Auteur]
Zeng, Xianyi [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Dong, Min [Auteur]
Li, Weibo [Auteur]
Yuan, Hua [Auteur]
Zeng, Xianyi [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Dong, Min [Auteur]
Li, Weibo [Auteur]
Yuan, Hua [Auteur]
Titre de la revue :
Industria Textila
Nom court de la revue :
Ind. Textila
Numéro :
71
Pagination :
421-426
Date de publication :
2020-11-21
ISSN :
1222-5347
Mot(s)-clé(s) en anglais :
fuzzy technology
sensory experiment
knowledge base
sensory experiment
knowledge base
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
ENSAIT
Junia HEI
ENSAIT
Junia HEI
Collections :
Date de dépôt :
2023-06-20T11:39:08Z
2024-03-15T16:28:59Z
2024-03-15T16:28:59Z