location: Current position: Home >> Scientific Research >> Paper Publications

Probability Density Function and Fuzzy System Based on a Set of Input - Output Data

Hits:

Indexed by:会议论文

Date of Publication:2010-01-01

Included Journals:EI、CPCI-S、Scopus

Page Number:3820-3824

Key Words:fuzzy inference; probability distribution; numerical characteristics; fuzzy system; universal approximations

Abstract: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.

Pre One:Fuzzy hypergroups based on fuzzy relations

Next One:Analysis of response abilities of fuzzy systems based on non-singleton fuzzifier method