摘要
对文献 [1 ]中提出的一种基于Vague集之间相似程度的度量方法进行了分析 ,指出了这种相似度量方法存在的缺陷。在此基础上 ,给出了一种改进的相似度量方法。同时 ,我们还给出了一种新的Vague集的交并运算规则 ,并在新的交并运算基础上 ,提出了一种基于Vague集相似度量的近似推理方法。最后 ,用实例说明了这种近似推理的推理过程。
In this paper,we point out that the measures of similarity given in have drawbacks,and revise the measures of similarity in .The new measures of similarity have good properties,and they are more rational.Meanwhile,the new measures of similarity can provide a useful way for measuring the degree of similarity between vague sets.We give a new definition of intersection and union in vague sets,then we give an approximate reasoning approach based on vague sets.Finally examples are used to interpret the new method of approximate reasoning.
出处
《计算机工程与科学》
CSCD
2002年第5期98-101,共4页
Computer Engineering & Science
基金
国家高性能计算基金资助项目 (0 0 3 0 3 )
华中科技大学科学研究基金资助项目 (M990 15)
