会议专题

Customer Satisfaction Data mining Based on Fuzzy Technology

A new method of customer satisfaction (CS) data mining is proposed in detail. Based on sample analyzing, adopting the technology of fuzzy c-means (FCM), SVD etc., the hierarchical model of CS analysis is designed using the theory of hierarchical rule structure. In such model, the CS analysis system is partitioned into seven subsystems; each of them holds independent functions. After building initial rule base using FCM, the rule base with much fewer rules is created using fuzzy rule amplification. And then the rule base is optimized by SVD, interpolation and genetic algorithm. The result of test shows the CS analysis fuzzy system constructed in this paper possess good performance.

FCM Customer satisfaction (CS) Data mining.

Huiyu Cao Bin Liu Jianmin He

Institute of Economic and Management, Southeast University, Nanjing, 210096, China Institute of Electric Information Engineering, Nanjing University of Technology, Nanjing, 210009, Ch

国际会议

2010 International Conference on Probability and Statistics of the International Institute for General Systems Studies(国际一般系统理论研究会中国概率统计学会第二届学术会议IIGSS-CPS2010)

南京

英文

603-608

2010-07-29(万方平台首次上网日期,不代表论文的发表时间)