基于Vague熵的Vague集相似度量  

Similarity Measures of Vague Sets Based on Entropy

作　　者：黄国顺[1] 刘云生[1] 

机构地区：[1]华中科技大学计算机科学与技术学院

出　　处：《小型微型计算机系统》2008年第1期139-144,共6页Journal of Chinese Computer Systems

基　　金：广东省自然科学基金项目(034071)资助;佛山科学技术学院科研项目(2005034)资助

摘　　要：对当前Vague集相似度量及Vague熵之间的关系进行了分析,指出它们并不匹配,本文分析了Vague熵的影响因素,给出一种新的Vague熵定义及一种新的计算公式,提出基于熵的Vague集新相似度量,与现有方法相比,本文的方法可以像普通模糊集一样,一个Vague集的熵可由它与它的补集间的相似度量较好地刻画.The relationship between similarity measures and entropy of Vague sets is analyzed. It is found that they are not matched completely. The impact factors of entropy for Vague sets are discussed. A novel definition of entropy is proposed and a new computing method is presented. Some new similarity measures based on entropy between Vague sets are proposed. Compared with existing methods, the method suggested in this paper can depict the entropy of vague set by the similar degree between it and its complement just as ordinary fuzzy set.

关 键 词：VAGUE集 Vague熵 相似度量 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]