Vague集的新相似性度量方法  

New Similarity Measure Method between Vague Sets

作　　者：徐凤生 于秀清 XU Feng-sheng;YU Xiu-qing(School of Mathematical Sciences,Dezhou University,Dezhou Shandong 253023,China)

机构地区：[1]德州学院数学科学学院,山东德州253023

出　　处：《德州学院学报》2020年第2期18-25,共8页Journal of Dezhou University

基　　金：山东省自然科学基金(ZR2017MA050).

摘　　要：基于Vague集相似性度量准则,分析了现有Vague集相似性度量方法存在不足的根本原因,并提出了一种新的Vague集相似性度量方法.通过定理证明,说明了本文方法的有效性和合理性.最后,通过对各种Vague集相似性度量方法进行对比分析,说明了各自方法的优缺点.Based on criterion of similarity measure between vague sets,this paper analyzes the root causes of some insufficient of existing similarity measure between vague sets,and puts forward an new similarity measure method between vague sets.By proof of theorem,the validity and rationality of this method are illustrated.By comparing and analyzing various similarity measures between vague set,explain their relative strengths and weaknesses.

关 键 词：VAGUE集 FUZZY集 相似性度量 

分 类 号：TP30[自动化与计算机技术—计算机系统结构]