Artificial immune algorithm-based credit evaluation for mobile telephone customers

Yang Zong-Chang, Kuang Hong, Xu Ji-sheng and Sun Hong
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Yang Zong-Chang: Hunan University of Science and Technology, Xiangtan, China
Kuang Hong: Hunan University of Science and Technology, Xiangtan, China
Xu Ji-sheng: Wuhan University, Wuhan, China
Sun Hong: Wuhan University, Wuhan, China

Journal of the Operational Research Society, 2015, vol. 66, issue 9, 1533-1541

Abstract: The arrearage problem is a critical concern for China’s mobile communication services industry. Analysis of customer credit evaluation provides this study with a potential viable solution to the arrearage problem in China. By employing an artificial immune algorithm (AIA), a measure of customer credit based on customer attributes is proposed. This method was applied to one China mobile communication services company with approximately 400 000 customers yielding satisfying results. Utilizing traditional predictive accuracy and alternative metrics, performance comparisons of the proposed AIA were made using the feed-forward back propagation artificial neural network and the logistic regression model. A decision tree analysis of anticipated benefits was performed and indicates workability of the proposed method based on customer credit evaluation.

Date: 2015
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