Soft Computing for Hybrid Intelligent Systems
Studies in Computational Intelligence, 2008, Volume 154/2008, 53-70, DOI: 10.1007/978-3-540-70812-4_4

Comparative Study of Type-1 and Type-2 Fuzzy Systems Optimized by Hierarchical Genetic Algorithms

Alma I. Martinez, Oscar Castillo and Mario Garcia

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Abstract

This paper describes a comparative study of type-1 and type-2 fuzzy controllers that are optimized using hierarchical genetic algorithms. Fuzzy controllers of Sugeno and Mamdani form are studied. The hierarchical genetic algorithms optimize the membership functions and the rules of the fuzzy controllers.

Keywords  Mamdani Fuzzy Inference System - Sugeno Fuzzy Inference System - Interval Type-2 Fuzzy Inference System - Hierarchical Genetic Algorithms

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