基于CRI算法的蕴涵算子族L-λ-G模糊系统  

Fuzzy systems of family of implication operator L-λ-G based on CRI method

作　　者：彭家寅[1] 

机构地区：[1]内江师范学院四川省高等学校数值仿真重点实验室

出　　处：《纺织高校基础科学学报》2007年第4期367-371,395,共6页Basic Sciences Journal of Textile Universities

基　　金：四川省科技厅重点科技项目(2006J13-035)

摘　　要：针对蕴涵算子族L-λ-G,首先讨论了基于CRI算法的模糊系统及其响应性能.结果表明,蕴涵算子族L-λ-G模糊系统只具有阶跃输出能力,不具有函数逼近泛性.其次揭示了蕴涵算子族L-λ-G模糊系统的概率意义,给出了其概率分布,它充当模糊系统的"系统内核"作用.Aimed at the family of implication operator L-λ-G, fuzzy systems and their response abilities based on the CRI method are studied. It shows that these fuzzy systems based on the family of implication operator L-λ-G are not universal approximators, the systems only have step output ability. Then the probability theory signif- icance of fuzzy systems based on the family of implication operator L-λ-G is revealed, their probability distributions are given separately, it plays “system core” roles at fuzzy systems.

关 键 词：模糊系统 蕴涵算子族L-Λ-G CRI算法 条件数学期望 概率分布 

分 类 号：O159[理学—数学]