Title :
Humanized Clothing Recommendation System Based on Fuzzy Set Theory
Author :
Yinggang, Xie ; ZhiLiang, Wang ; Qing, Zhang
Author_Institution :
Univ. of Sci. & Technol. Beijing, Beijing
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;
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
DOI :
10.1109/CHICC.2006.4347190
