一类新的Vague集相似性度量方法

A New Method for Similarity Measuring Between Vague Sets

Vague集之间的相似性度量是近似推理的重要研究内容,本文从研究入手,给出了一种基于大小和不确定度的Vague集相似性度量方法。并与以往的相似性度量方法进行比较,指出其它方法存在的不足以及本方法的优越性。

Similarity measuring between vague sets is an important part in approximate reasoning. Starting with the research of information implied in vague values,this paper proposes a new method on similarity measuring of vague sets based on the size and accuracv degree.And during a comparison it points out some faults of former methods and the advantage of this method.