Evaluation of customer value and then classifing the customer is one of the core of customer relationship management. This article first identifies some affecting factors of the customer value classification, uses the rough set-neural network model, that is to say using complementary advantages of rough set and neural network, preprocess the data by using rough set, and then chooses neural network as the evaluation method, finally,classifies the customer value according to the results evaluation.%客户关系管理的核心内容之一是对客户价值的评价进而对客户进行分类.文章首先找出对客户价值分类有影响的一些因子,应用粗糙集-神经网络的模型,即利用神经网络与粗糙集理论的优势互补,采用粗糙集对数据进行预处理,然后选择神经网络作为评价方法,最后根据客户价值评价结果进行客户价值分类.
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