A New Customer Classification Method for Customer Asset Value Management

摘要：

This paper proposes a new approach to customer classification with customers’ value information being interval information. In the proposed approach, the decision matrix in the form of interval is normalized based on the superiority degree theory, firstly; Then, the attribute weights are determined and the relative distance of each customer to the ideal-point is figured out; in the end, the customers are classified into different groups according to the relative distance of each customer to the ideal-point and the classification rule. An example is used to illustrate the proposed approach.

关键词： Customer Asset Value Customer Classification Multiple attribute decision making TOPSIS

作者: Q. Zhang T.L. Xu J.G. Zhu

作者单位: School of Information Engineering ShenYang University of Technology, ShenYang, 110023, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1753-1756

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）