Uneven allocation of membership functions for hierarchical fuzzymodeling using genetic algorithm

摘要

Fuzzy modeling is a promising technique to describe input-outputrelationships of nonlinear system. This paper presents a newhierarchical fuzzy modeling method using Genetic Algorithm (GA). Unevenallocation of membership functions in the antecedent of each sub-modelin the hierarchical fuzzy model can be achieved with the proposedmethod. This paper introduces a simple coding method and a quick ruleidentification method for efficient search for a sub-model using a FuzzyNeural Network (FNN). The obtained hierarchical fuzzy model are probableto be more concise and more precise than those identified with theconventional methods