计算机应用与软件Issue(9)：259-262,4.DOI:10.3969/j.issn.1000-386x.2013.09.071
基于最大最小值的 Vague集相似度量方法
SIMILARITY MEASURE METHODS FOR VAGUE SETS BASED ON MAXIMAL AND MINIMAL VALUE
摘要
Abstract
By analysing existing similarity measure methods for Vague set , we point out that though they meet basic rules of similarity measure, but the defects exist in describing the similarity of Vague set , and the measurement accuracy is also low .We analyse the support and opposing degrees of the Vague value and the relationship of maximal and minimal values between its complement set , on this basis we study the similarity measure of Vague set , and propose a new similarity measure method for Vague set .Furthermore , we prove that the new method satisfies the basic rules of similarity measure .By comparing it with existing similarity measure methods , it is illustrated that this method overcomes the defects of current similarity measure methods , accords with the intuitive sense of people , and can reasonably and effectively distinguish the data .关键词
Vague集/相似度量/最大值/最小值Key words
Vague set/Similarity measure/Maximal value/Minimal value分类
信息技术与安全科学引用本文复制引用
赵雪芬..基于最大最小值的 Vague集相似度量方法[J].计算机应用与软件,2013,(9):259-262,4.基金项目
宁夏大学科学研究基金项目（ ZR1146）。 （）
