在专家系统的模糊推理中,基于相似度的方法是一种简便而又重要的方法。文章指出了已有的两种相似度及其算法的局限性,提出了两种改进的相似度及其推理算法,并用实例说明了改进方法的效果。
In the fuzzy reasoning of expert system,similarity-based fuzzy reasoning method is a kind of simple and important method.This paper indicates the limitation of two existing similarity measures and their algorithms and proposes two improved similarity measures and enhanced reasoning methods.The paper also gives several examples to show the superiority of these two new algorithms.