改进模糊聚类在客户关系管理(CRM)中的应用

The Application of Improved Fuzzy Clustering in Customer Relationship Management

针对现有客户关系管理(CRM)的局限性,引入了模糊数学相关算法,给数据对象的隶属度加上一个权值,以及在算法中用有效性函数来自动确定聚类数目C,理论分析与实验结果表明,在CRM环境下所引入的改进模糊聚类算法比传统模糊聚类算法有更好的聚类效果,更快的聚类速度.

In order to overcome the shortrage of CRM,the author presents a clustering algorithm. The idea of the algorithm is modified subjection value by adding weighted value and the choice for parameter of number of clusters based on cluster validity function. Experiments also show that the improved fuzzy clnstering used in CRM has a better cluster result and has faster clustering rate.