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Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach

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3 Author(s)
Delgado, M.R. ; Dept. of Comput. Eng. & Ind. Autom., State Univ. of Campinas, Brazil ; Von Zuben, F. ; Gomide, F.

Improves some results associated with a modular and hierarchical evolutionary design of fuzzy systems, using a Takagi-Sugeno approach. Basically, the set of design parameters to be adjusted is divided into modules distributed over different levels that evolve in an interactive way. Due to the existence of a compromise between the flexibility of the fuzzy system architecture and the efficiency of the evolutionary process, a significant gain in performance can be obtained when the set of parameters to be automatically defined is divided into two groups: one optimized using a least square procedure, and the other evolved using genetic algorithms. Simulation results show that the proposed method increases computational tractability and favor the descriptive nature of the final solution

Published in:

Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on  (Volume:1 )

Date of Conference:

7-10 May 2000

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