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.