Humanized Clothing Recommendation System Based on Fuzzy Set Theory

On the basis of fuzzy sets theory, this thesis discusses a personalized intelligent clothing recommendation system using MAS. Using fuzzy theories could solve the matching problems of suppliers and buyers in clothing recommendation. The fuzzy problems are numerically simulated by the constraints of...

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Bibliographic Details
Published in2007 Chinese Control Conference pp. 380 - 385
Main Authors Xie Yinggang, Wang Zhiliang, Zhang Qing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Clothing Recommendation System
E-Businesses
Fuzzy logic
Fuzzy set theory
Fuzzy Sets Theory
Fuzzy systems
Intelligent agent
Intelligent systems
Internet
MAS
Mobile agents
Numerical simulation
Virtual manufacturing
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ISBN9787811240559
7811240556
ISSN1934-1768
DOI10.1109/CHICC.2006.4347190

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Summary:On the basis of fuzzy sets theory, this thesis discusses a personalized intelligent clothing recommendation system using MAS. Using fuzzy theories could solve the matching problems of suppliers and buyers in clothing recommendation. The fuzzy problems are numerically simulated by the constraints of logical variables such as believability and subject functions to [0, 1]. Then the solutions could be gotten. Finally, it will achieve ordering of recommended clothing and carry out intelligent business. This fuzzy evaluation model and Agent utility analysis designed in this system intensifies the intelligence of the whole system.
ISBN:9787811240559
7811240556
ISSN:1934-1768
DOI:10.1109/CHICC.2006.4347190