根据模糊集理论,结合模糊C-均值聚类算法的约束条件.提出聚类模糊集概念.定义聚类模糊度.通过深入分析聚类模糊集的模糊度和贴近度在聚类评价中的作用,设计出一种模糊聚类有效性函数,并给出应用该函数实现模糊C-均值聚类有效性判定的具体步骤.实验结果表明,本文提出的聚类有效性函数是合理的. According to the theory of fuzzy sets and the constraints of fuzzy C-means clustering algorithm, the concept of clustering fuzzy sets is proposed to define the degree of clustering ambiguity. By analyzing the ambiguities and closeness of clustering fuzzy sets in clustering evaluation , A fuzzy clustering effectiveness function is designed and the concrete steps of applying the function to determine the validity of fuzzy C-means clustering are given.The experimental results show that the proposed clustering effectiveness function is reasonable.