摘要
通过揭示模糊推理的一种CRI算法的逻辑原理,提出了模糊推理的一种新算法。并对单规则的CRI算法(或三I算法)的重心(或最大隶属度)去模糊法的有效性进行了研究。发现在单规则的CRI算法(或三I算法)的模糊推理中,当大前提的后件取对称模糊集时,采用重心去模糊法使得推理结果无效,而采用最大隶属度去模糊法可使得推理结果有效。
By opening out the logical principle of a type of CRI method in fuzzy reasoning, the paper present a new type of method, the validity of methods for barycenter（or maximum subjection degree）- removing fuzziness based on CRI methods （or Triple I method） under one rule, are discussed. The results are got as follows： in CRI methods （or Triple I） method under one rule, if the latter in major premise is taken as symmetrical fuzzy set, then using barycenter-removing fuzziness method is not effective to fuzzy reasoning; if the latter in major premise is taken as symmetrical fuzzy set, then using maximum subjection degree-removing fuzziness method is effective to fuzzy reasoning.
出处
《模糊系统与数学》
CSCD
北大核心
2013年第4期42-47,共6页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(60875034)
