A new customer classification method for customer asset value management

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.