摘要
模糊推理的核心问题是求解模糊取式和模糊拒取式。算法的还原性是评价模糊推理好坏的重要标准之一。现有求解模糊取式和模糊拒取式问题的算法都不满足无条件的还原性。本文提出了一种新的模糊推理算法——SIS算法,证明了SIS算法是不需要附加任何条件的还原算法,并且还讨论了SIS算法的λ水平解。此算法必将对模糊推理和模糊控制等产生较大的影响。
The key problems of fuzzy reasoning are solving Fuzzy Modus Ponens and Fuzzy Modus Tollens.The reduction of fuzzy reasoning algorithms is one of most important evaluation standards for fuzzy reasoning.The prior fuzzy reasoning algorithms don＇t satisfy unconditional reduction.In this paper,a new algorithm of fuzzy reasoning is presented,called SIS Algorithm.The unconditional reduction of SIS Algorithm is proved and the λ-solution of SIS algorithm is discussed.The algorithm is going to give a big influence to fuzzy reasoning and fuzzy control.
出处
《模糊系统与数学》
CSCD
北大核心
2010年第6期1-7,共7页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(61073054
10871229)
关键词
模糊推理
SIS算法
还原算法
Fuzzy Reasoning
SIS Algorithm
Reductive Algorithm
