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CONTRIBUTION TO THE DESIGN OF TAKAGI-SUGEN ADAPTIVE FUZZY-LOGIC SYSTEMS BY USING THE ALGORITHMS OF FUZZY GROUPING
Šaletić Dragan
The paper deals with soft computing, extraction of fuzzy rules out of input-output data of grouping using the algorithms of fuzzy grouping. Theoretical and experimental analyses of performances of some algorithmes of fuzzy grouping, based on target functions and applied in automatic modelling of fuzzy systems, have been given. The application of the Takagi-Sugen type of fuzzy models, generated by grouping in the function approximation, has been used to estimate the quality of models obtained by rule extraction…
Ključne reči: Computer technology, automation technology, soft computing, expert systems, fuzzy logic, data analysis, Takagi-Sugen rules, grouping knowledge acquisition, extraction of rules. |