计算机工程与应用2011，Vol.47Issue(20)：31-33,46,4.DOI:10.3778/j.issn.1002-8331.2011.20.009
一种基于支持系数的Vague集(值)相似度量新方法
New method of similarity measures based on upholding coefficient between Vague(values) sets
摘要
Abstract
This paper analyzes some existing methods of similarity measures and pointes out the unilateralism and localization of these methods in calculating the similarity measures between Vague (values) sets.Through analyzing the hesitancy degree of the elements in the Vague (values) sets and introducing the upholding coefficient, which is used to adjust the influence of the unknown information to the true and the false subjection measures,a new kind of similarity measure is educed in the Vague (values) sets, and it is proved usefully by the example of the pattern matching.The rationality and validity are proved by comparing the new method with the others.关键词
Vague集/相似度量/未知度/支持系数/模式匹配Key words
Vague sets/similarity measures/hesitancy degree/upholding coefficient/pattern matching分类
信息技术与安全科学引用本文复制引用
彭方明,邢清华,王三涛..一种基于支持系数的Vague集(值)相似度量新方法[J].计算机工程与应用,2011,47(20):31-33,46,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60773209) （the National Natural Science Foundation of China under Grant No.60773209）
空军装备科研资助. （）
