Vague集及其相似度量的新方法

Vague sets and its new similarity measure

相似度量是Vague集研究中的一个重要内容,对于知识表达、模式识别等研究具有重要意义。引入了Vague值(集)相似度量的基本准则,并对现有的一些Vague值(集)相似度量方法进行研究,发现目前Vague值(集)相似度量方法存在一些缺陷,因此提出了一种新的Vague值(集)的相似度量方法,并通过数据分析验证了新方法的有效性。

The similarity measure is an important point in research on Vague sets,which plays an important role in knowledge expression and pattern recognition.This paper introduces some basic rules of similarity measure between vague values（sets）.Some errors and limitations arc found after analyzing some former similarity measures between vague values（sets）.A new similarity measure between vague values（sets）is presented.This new similarity measure between values（sets）is validated with experimental data.