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首页> 外文会议>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）论文集 >Discriminant Model of Customer Credit Based on ANFIS
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Discriminant Model of Customer Credit Based on ANFIS

机译：基于ANFIS的客户信用判别模型。

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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.
机译：电费的收回，在企业管理中通常被称为应收款，对于电力市场中的公用事业非常重要，并且预测客户将使用的信贷类型是关键工作之一。基于MIS的数据和信用管理的反对意见，设计了一种特殊的信用指标体系。利用ANFIS（自适应神经模糊推理系统）建立并测试了判别模型，该模型具有较高的准确度和较低的错误判断率，因此该模型可用于根据客户的信用等级对客户进行分类，并考虑结果作为在销售和应收款管理过程中制定不同信贷管理政策的参考。

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