Probability Density Function and Fuzzy System Based on a Set of Input - Output Data
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论文类型:会议论文
发表时间:2010-01-01
收录刊物:Scopus、CPCI-S、EI
页面范围:3820-3824
关键字:fuzzy inference; probability distribution; numerical characteristics; fuzzy system; universal approximations
摘要:Based on a set of input - output data, we first build a joint probability density function of certain two-dimensional random variables utilizing fuzzy inference rules, then propose its marginal probability density function and numerical characteristics. Finally, it is pointed out that the fuzzy system constructed with center of gravity defuzzifier is a regression function in the sense of probability theory and has the first-order approximation accuracy.
