摘要
探讨了粗糙集理论在客户分类预测中的应用,提出对一般属性约简的修正方法、直接处理不一致系统的分类规则约简算法及基于粗糙集的客户分类预测规则,为企业客户的分类预测提供了参考。实证分析结果表明运用上述方法及规则能有效地降低了数据计算的复杂性,提高客户分类预测的准确性。
Application of rough set theory in prediction of customer classifications is introduced. Meanwhile, correct method of generic attribute reduction and classification rule reduction arithmetic which is able to process directly inconsistent system is discussed, which provides the reference for prediction of customer classification. Demonstration analysis results indicate complexity of data calculation is decreased effectively and veracity of prediction of customer is improved.
出处
《工程图学学报》
CSCD
北大核心
2009年第3期187-191,共5页
Journal of Engineering Graphics
基金
江苏省社科院基金资助项目(院阅B0608)
关键词
计算机应用
属性约简
粗糙集
客户分类预测
computer application
attribute reduction
rough set
prediction of customer classification
