摘要
研究一般情形下Vague集之间的相似性度量问题。分析现有相似度度量方法的种类并指出其不足之处,提出Vague值间相似性度量的基本准则。考虑到未知信息对相似度的影响,根据基本准则提出适用于一般情况的度量公式。讨论该公式满足基本准则的必要条件,并给出具体的公式。最后通过模式识别中的实例说明其有效性。
This paper firstly analyses two main sorts of similarity measures between Vague sets and between elements at present, and points out the same problem of these measures.Then,some basic rules are proposed to measure the rationality of similarity measures.According to the basic rules,a new method of similarity measure is introduced in general conditions,which takes full advantage of the hesitancy degree of element.The necessary conditions of this similarity measure are also pointed out.Finally,the application of the similarity measure and its effectiveness are illustrated by an example in pattern recognition.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第4期73-76,共4页
Computer Engineering and Applications
