关键词: 聚类分析, 文本挖掘, 模糊集, 隶属函数

Abstract: There are a large number of non-certain and non-structure contents in the web searching text.It is difficult to cluster the searching text by some normal classification methods.Because the searching text is not clustered，the searching result of the text is very enormous.A technique of searching text clustering analysis based on fuzzy set is proposed，and the algorithm has been described in detail by example.It can improve the algorithm complexity of time and space，decrease the dimensions of the algorithm，which should increase the robustness of the algorithm.To check the accuracy and efficiency of the algorithm，the comparative analysis of the sample and test data is provided.

Key words: clustering analysis, text mining, fuzzy set, membership function