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

Título inglés	A defuzzification based new algorithm for the design of Mamdani-type fuzzy controllers
Título español	Un nuevo algoritmo basado en dedifusificación para el diseño de controladores difusos de tipo Mamdani.
Autor/es	Saade, Jean Jamil
Organización	ECE Dep. American Univ. Beirut, Beirut, Líbano
Revista	1134-5632
Publicación	2000, 7 (2-3): 159-173, 24 Ref.
Tipo de documento	articulo
Idioma	Inglés
Resumen inglés	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.
Clasificación UNESCO	120703
Palabras clave español	Controladores difusos ; Conjuntos difusos ; Algoritmos de aprendizaje
Código Z-Math	Zbl 0992.68181
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