扰动模糊集相似度限定推理方法  

Reasoning method by similarity degree of disturbing fuzzy sets

作　　者：陈图云[1] 孟艳平[1] 

机构地区：[1]辽宁师范大学数学系,辽宁大连116029

出　　处：《辽宁工程技术大学学报（自然科学版）》2004年第4期564-566,共3页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金资助项目(69973019)

摘　　要：作为模糊控制理论基础的模糊推理,近年来得到广泛的研究和应用。结合模糊推理的 Mamdani 算法与 J.F. Baldwin 的真值限定推理方法,在扰动模糊集上定义了一种模糊推理的新方法—扰动模糊集相似度限定推理(FMP 和 FMT)方法,提出了扰动模糊集相似度限定推理方法, 该方法是满足关系再现的并对关系再现问题进行了讨论,给出了满足还原算法的条件。Fuzzy inference is the basis of the theory of fuzzy control, which has been widely researched and applied on the basis of Mamdani algorithm and J.F.Baldwin’ Truth Value Reasoning of fuzzy inference, the reasoning(FEP and FMT)method by similarity degree of disturbing fuzzy sets is given, reasoning method of similarity degree disturbing fuzzy sets pointed out ,the relational reappearance is also discussed, and then the conditions satisfying the revival property of the algorithms is given.

关 键 词：模糊推理 Mamdani算法 相似度 真值限定推理 扰动模糊集 

分 类 号：O159[理学—数学]