Vague集相似性度量的再讨论  

Again Discussionon Similarity Measure between Vague Sets

作　　者：徐凤生[1] 刘艳芹[1] 尹秀玲[1] XU Feng-sheng;LIU Yan-qin;YIN Xiu-ling(School of Mathematics and Big Data,Dezhou University,Shandong Dezhou 253023,China)

机构地区：[1]德州学院数学与大数据学院,山东德州253023

出　　处：《德州学院学报》2021年第6期18-23,共6页Journal of Dezhou University

摘　　要：从影响Vague集相似性度量的四个因素和其需要满足的八个准则两个方面考虑,提出了Vague集相似性度量的一种新方法.从理论上证明了该方法的有效性和合理性,并指出了现有Vague集相似性度量方法存在不足的根本原因.Considering the four factors affecting the similarity measure betweenvague sets and the eight criterias that it needs to meet,a new method of similarity measure betweenvague setsis proposed.Through theorem proving and concrete examples,the validity and rationality of the proposed method are proved theoretically,and the root cause of the deficiency of the existing similarity measure meth od betweenvague sets is pointed out.

关 键 词：VAGUE集 FUZZY集 相似性度量 

分 类 号：O159[理学—数学]