基于可拓的Vague相似度计算

Similarity measure of Vague value based on extension

在Vague的各种理论和应用中,相似度占据着不可低估的重要作用。笔者针对目前相似度的不同研究方法,通过引入点与区间"距"的概念,借助可拓关联函数构建了一种新的相似度度量公式,进而为Vague的研究提供了一种新的思路。最后通过实例验证了该方法的可行性。

Similarity is very important in both theory and applications of vague sets. Different from the current similarity measures in the field, a new measure method was introduced only to provide a new idea in the field. In this paper, the concept of ＂distance＂ was first used and a new similarity measure method was given based on the extension depentment function.