A defuzzification based new algorithm for the design of Mamdani-type fuzzy controllers

• Autores: J. J. Saade
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 7, Nº. 2-3, 2000, págs. 159-173
• Idioma: inglés
• Títulos paralelos:
  • Un nuevo algoritmo basado en dedifusificación para el diseño de controladores difusos de tipo Mamdani
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• Resumen

  • This paper presents a new learning algorithm for the design of Mamdani- type or fully-linguistic fuzzy controllers based on available input-output data. It relies on the use of a previously introduced parametrized defuzzification strategy. The learning scheme is supported by an investigated property of the defuzzification method. In addition, the algorithm is tested by considering a typical non-linear function that has been adopted in a number of published research articles. The test stresses on data-fitting, function shape representation, noise insensitivity and generalization capability. The results are compared with those obtained using neuro-fuzzy and other fuzzy system design approaches.