Vague集相似度量的新方法  

NEW METHOD OF SIMILARITY METRIC BETWEEN VAGUE SETS

作　　者：王伟[1] 曾志勇[1] 

机构地区：[1]云南财经大学信息学院,云南昆明650221

出　　处：《计算机应用与软件》2012年第8期138-140,共3页Computer Applications and Software

基　　金：2010年教育部人文社会科学研究青年基金项目(10YJCZH004);云南省教育厅科学研究基金项目(2010Y121);云南省高校商务智能科技创新团队支持;校科研基金重点项目(YC10A003)

摘　　要：系统介绍现有Vague集相似度量的方法,并根据它们目前所存在的一些不足,提出新的方法。通过举证和论证的方法证明了它满足若干规则性从而得到其有效性。最后通过实验与所提方法进行比较,证明了它的正确性和优越性。从而为决策方面能够提供一些帮助。In the paper a couple of existing metric methods for Vague sets similarity are introduced systematically, and a new approach of my own is proposed in light of the shortcomings of them. Moreover, by the way of adduction and argumentation, it is proved that this approach satisfies certain regularities and therefore its effectiveness is derived as well. Finally, through the experiments it is compare with some existing methods, its correctness and superiority are also proved, which is able to provide some helps to decision making.

关 键 词：VAGUE集 相似度量 FUZZY集 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]