Botzheim, J.Kóczy, László T.Ruano, Antonio2013-02-122013-02-122008Botzheim, J.; Koczy, Laszlo T.; Ruano, A. E. Fuzzy Model Identification by Evolutionary, Gradient Based and Memtic Algorithms, Trabalho apresentado em Gyor Symposium on Computational Intelligence, In Proceedings of the Gyor Symposium on Computational Intelligence, Gyor, 2008.AUT: ARU00698;http://hdl.handle.net/10400.1/2316One of the crucial problems of fuzzy rule modeling is how to find an optimal or at least a quasi-optimal rule base fro a certain system. In most applications there is no human expert available, or, the result of a human expert's decision is too much subjective and is not reproducible, thus some automatic method to determine the fuzzy rule base must be deployed.engFuzzy model identification by evolutionary, gradient based and memtic algorithmsconference object2013-01-30