【摘要】 基于Vague集的投票模型解释,对Vague进行分步转化,得到转化的极限状态为一模糊集。在此基础上讨论Vague集之间及元素之间的相似度量,给出一系列相似度量公式,并讨论其性质。最后,用实例说明其应用。该文的结论为Vague环境下的信息处理提供有效方法。更多还原

【Abstract】 This paper makes transformation for a Vague set step by step based on the vote model interpretation of vague sets and obtains a fuzzy set as the limit form of transformation.Based on this,similarity measures between vague sets and between elements are discussed and the corresponding measure formulas are presented.Finally,the paper illustrates the application of the similarity measures by an example.The results of this paper will provide effective methods for information processing in Vague environment.更多还原