A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples

@article{Cordn1997ATE,
  title={A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples},
  author={Oscar Cord{\'o}n and Francisco Herrera},
  journal={Int. J. Approx. Reasoning},
  year={1997},
  volume={17},
  pages={369-407}
}
Nowadays fuzzy logic controllers have been successfully applied to a wide range of engineering control processes. Several tasks have to be performed in order to design an intelligent control system of this kind for a concrete application. One of the most important and difficult ones is the extraction of the expert known knowledge of the controlled system. The aim of this paper is to present an evolutionary process based on genetic algorithms and evolution strategies for learning the fuzzy-logic… CONTINUE READING
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