基于距离意义下的Vague集相似度量比较研究  

A Comparative Assessment Based on Distance of Similarity Measures between Vague Sets

作　　者：黄国顺[1] 刘云生[1] 

机构地区：[1]华中科技大学计算机学院

出　　处：《计算机工程与应用》2004年第35期30-32,共3页Computer Engineering and Applications

基　　金：广东省自然科学基金项目(编号:034071)资助

摘　　要：目前已有多种Vague集相似度量计算方法被提出来,但它们都是一种实验计算方法,论文首先设计了一组实验数据对它们进行实验分析,得出基于距离意义下各个相似度量的评价,发现闫等(2004)方法的性能不稳定,并指出产生这种局限性的原因,在证明一个引理的基础上提出一种新的度量方法,它实际上是对闫方法基于距离意义下的改进。最后从理论上将它和Hong的方法进行比较分析。Nowadays,several similarity measures between Vague sets have been proposed,but all of them are experi-mentation.At first,a set of data is designed to assess them based on distance.It is found that Yan's(2004)method doesn't always work very well,and the essential causation is pointed out.A lemma is proved and then a new method based on it is proposed,which is actually the modification of Yan's method based on distance.Finally,it is compared with Hong's method.

关 键 词：VAGUE集 相似度量 距离 计算方法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]