Credit evaluation for mobile customers using artificial immune algorithms

To the arrears problem that puzzles most mobile telephone corporations in China, based on artificial immune algorithms, a credit measure on customerpsilas behavior attributes is defined and proposed to mobile telephone customers. The proposed measure gives good results when it is applied to the credit evaluation for the 400,000 customers in a Communication Branch of Guangdong in August and September, the correct evaluation rates for all the customers is about 82.0%, and our proposed approach performances better than a BP neural network on the task. Our experimental results show that the management for the arrears problem on the basis of client credit evaluation is a considerable measure for applying, and others could benefit from ours.