一种新的基于核函数的Vague集间的相似度量

New Similarity Measures on Vague Sets Based on Score Function

摘要: 分析了已有Vague集之间相似度度量方法存在的缺陷.在此基础上,充分挖掘Vague值中的不确定信息,利用两个Vague值核函数取小、取大的比值给出新的相似度量方法,给出基于动态核函数的Vague值的相似度定义,以及相应的Vague集和Vague元素的相似度定义.并通过例子说明该方法适用于Vague环境的行为分析问题.

Abstract: Discusses the default of existing methods of similarity.Several new methods of similarity are given based on this analysis.An example is used to illustrate the application of the proposed similarity measures in handling behavior analysis problems in a vague environment.