Refinement of a fuzzy control rule set

Autores: Antonio González Muñoz , Raúl Pérez Rodríguez
Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 5, Nº. 2-3, 1998, págs. 175-187
Idioma: inglés
Títulos paralelos:
- Refinamiento de un conjunto de reglas de control difuso
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Resumen
- Fuzzy logic controller performance depends on the fuzzy control rule set. This set can be obtained either by an expert or from a learning algorithm through a set of examples. Recently, we have developed SLAVE an inductive learning algorithm capable of identifying fuzzy systems. The refinement of the rules proposed by SLAVE (or by an expert) can be very important in order to improve the accuracy of the model and in order to simplify the description of the system. The refinement algorithm is based on an heuristic process of generalization, specification, addition and elimination of rules.