Discriminant Model of Customer Credit Based on ANFIS

摘要：

Reclaim of Electricity Fee, which is ordinarily called as receivables in enterprises management, is very important for public utility in electricity market, and to predict which types of credit the customers would be is one of key work. Based on the data of MIS and objection of credit management, a special credit index system is designed. With the ANFIS (Adaptive Neuro-Fuzzy Inference System), a discriminant model is established and tested, which has high precision and lower errorjudgment rate, so the model could be used to classified the customers according to their credit rank and the result could be regards as reference for making different credit management policy in the process of sales and receivables management.

关键词： Electricity Market Reclaim of Electricity Fee Adaptive Neuro-Fuzzy Inference System Credit rank Discriminant Model

作者: Hui ZHOU Yi WANG Wei WANG Tao LI Hong YANG

作者单位: School of Eelectric Engineering,Beijing Jiaotong University,Beijing,100044,China Market Department,Huabei Power Grid Company,Beijing,100053,China

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）