Abstract: This paper analyses the existing Vague sets similarity measure methods, and points out its insufficiency. Considering the influence of hesitancy degree on similarity measure in the actual application, from the perspective of dynamic, it mines for and against Information contained in hesitancy degree, proposes a new similarity measure method based on hesitancy degree of Vague sets, and the similarity measure method is applied to the fuzzy data detection. The practical application shows that the method is more effective.

Key words: Vague sets, similarity measure, hesitancy degree, fuzzy data

摘要： 分析现有一些Vague集相似度量方法，并指出其不足。考虑在实际应用中，未知度对相似度量的影响，从动态的角度出发，挖掘未知度中包含的赞成与反对信息，提出了一种基于未知度的Vague集相似度量新方法，并将该相似度量方法应用于模糊数据检测中，通过实际应用说明该方法更加有效。

关键词: Vague集, 相似度量, 未知度, 模糊数据