Based on the similarity of interval-valued intuitionistic fuzzy sets defined by entropy in the application of commodity recommendation
作者单位：School of Economics and Management Harbin Institute of Technology
会议名称：《第25届中国控制与决策会议》
会议届次：25th
主办单位：IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期：2013年
学科分类：07[理学] 081203[工学-计算机应用技术] 08[工学] 070104[理学-应用数学] 0835[工学-软件工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：partly funded by National Natural Science Foundation of China (71271070) Foundation of New Century Educational Talents Plan of Chinese Education Ministry (NCET-08-0171)
关 键 词：Recommending Algorithm Interval-valued intuitionistic fuzzy set Entropy Similarity measure
摘 要：The effective and accurate recommendation method is called for the fast development of E-commence. In the existed recommendation algorithms, there are two biggest problems: data sparseness and manipulation problem. In our paper, we propose a new view to recommend which based on similarity of two interval-valued intuitionistic fuzzy sets defined by entropy. And we have proved that the recommendation algorithm is feasible.