Vague集相似度量及其在模糊数据检测中的应用

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。%This paper analyses the existing Vague sets similarity measure methods, and points out its insufficiency. Con-sidering 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 appli-cation shows that the method is more effective.