首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于逐点优化模糊推理的模糊系统的概率表示
引用本文:彭家寅.基于逐点优化模糊推理的模糊系统的概率表示[J].淮阴师范学院学报(自然科学版),2010,9(3):196-204.
作者姓名:彭家寅
作者单位:四川省高校,数值仿真重点实验室,四川,内江,641112;内江师范学院,数学系,四川,内江,641112
基金项目:四川省科技厅重点科研项目 
摘    要:揭示了基于逐点优化模糊推理的模糊系统的概率论意义,给出了几种典型的概率分布,如Mamdani分布、Larsen分布、Zadeh分布、Lukasiewicz分布、Goguen分布等,指出了在概率意义下,上述几种典型分布对应的模糊系统与由CRI算法构造的模糊系统是等效的.

关 键 词:模糊系统  模糊蕴涵算子  条件数学期望  POFI方法  CRI算法

Probability Representation of Fuzzy Systems Based on Pointwise Optimization Fuzzy Inference
PENG Jia-yin.Probability Representation of Fuzzy Systems Based on Pointwise Optimization Fuzzy Inference[J].Journal of Huaiyin Teachers College(Natrual Science Edition),2010,9(3):196-204.
Authors:PENG Jia-yin
Institution:PENG Jia-yin1,2(1.Key Laboratory of Numerical Simulation of Sichuan Province,Neijiang Sichuan 641112,China)(2.Department of Mathematics,Neijiang Teachers College,China)
Abstract:The probability theory significance of fuzzy systems based on pointwise optimization fuzzy inference is revealed,several typical probability distributions,such as Mamdani distribution,Larsen distribution,Zadeh distribution,Lukasiewicz distribution and Goguen distribution,are given separately,it is pointed that under probability significance,the fuzzy systems corresponding to the above distributions are equivalent to the fuzzy systems based on CRI algorithm respectively.
Keywords:fuzzy system  fuzzy implication operator  conditional mathematical expectation  POFI method  CRI algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号