Humanized Clothing Recommendation System Based on Fuzzy Set Theory

Author

Yinggang, Xie ; ZhiLiang, Wang ; Qing, Zhang

Author_Institution

Univ. of Sci. & Technol. Beijing, Beijing

fYear

2007

Firstpage

380

Lastpage

385

Abstract

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.

Keywords

Internet; clothing; electronic commerce; fuzzy set theory; information filters; knowledge based systems; multi-agent systems; agent utility analysis; believability; fuzzy evaluation model; fuzzy set theory; humanized clothing recommendation system; logical variables; multiagent system; personalized intelligent clothing recommendation system; subject functions; supplier-buyer matching; Clothing; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Intelligent agent; Intelligent systems; Internet; Mobile agents; Numerical simulation; Virtual manufacturing; Clothing Recommendation System; E-Businesses; Fuzzy Sets Theory; MAS;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2007. CCC 2007. Chinese

Conference_Location

Hunan

Print_ISBN

978-7-81124-055-9

Electronic_ISBN

978-7-900719-22-5

Type

conf

DOI

10.1109/CHICC.2006.4347190

Filename

4347190