Vague集相似度量的新方法  

New method for similarity measures between Vague sets

作　　者：蔡正琦[1] 普措才仁[1] 田双亮[1] 曹永春[1] 

机构地区：[1]西北民族大学计算机科学与信息工程学院,兰州730030

出　　处：《计算机工程与应用》2011年第12期31-33,195,共4页Computer Engineering and Applications

基　　金：教育部人文社会科学研究规划基金No.08JA740034~~

摘　　要：根据区间相似性的原理,指出影响Vague集相似性度量的4个因素,指出了现有方法的不足,提出了一种新的Vague集相似性度量方法,证明了它满足若干准则。通过例子证明了方法的有效性和优越性。According to the theory of similarity measure between intervals, it is shown that four factors influencing Vague sets and Vague values shoud be taken into account while calculating the similarity degree.Some existing similarity measures are reviewed and compared.Some faults of existed methods are pointed out.A new method for similarity measures between Vague sets（values） is put forward,and is proved to satisfy some rules.The validity and advantage of this method are illustrated by an example.

关 键 词：VAGUE集 FUZZY集 相似度量 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]