关键词: Vague集, 相似度量, 聚类分析, Fuzzy集, 直接聚类法

Abstract: In the research and development of intelligence system，clustering analysis is a very important problem.A formula for similarity measures based on unknown degree and core between Vague sets is presented.Under the consideration of algorithm independence and computing complexity，benefiting from the idea of clustering analysis at fuzzy sets，a new direct clustering algorithm using similarity measure of Vague sets as evaluation criteria is presented.Using the formula，the Vague transfer closure method and the Vague direct clustering method are used to calculate respectively.The experimental result shows that the direct clustering method based on the similarity of Vague sets is easy，not causing distortion of the original information，and there is no special requirement about the size of the amount of data at the same time.It is more effective than Vague transfer closure method.

Key words: Vague sets, similarity measure, clustering analysis, Fuzzy sets, direct clustering method