A Compositional Method Using an Evolutionary Algorithm for Finding Fuzzy Rules in 3-Layered Hierarchical Fuzzy Structure

Abstract

This paper presents a novel compositional method for finding fuzzy rules in a three-layered hierarchical fuzzy structure. The proposed method incorporates a multi-objective evolutionary algorithm and a large set of initial conditions, including dynamical conditions of the system under investigation. The proposed method is focused on handling the large set of initial conditions by a multi-objective evolutionary algorithm and it can be applied to a wide range of dynamical control systems in robotics. The method has been evaluated on a dynamical system such as the inverted pendulum. The experimental results and analysis showed that the proposed method is much better than the existing methods such as amalgamation and single objective evolutionary algorithm based methods.

Intelligent Control

“…rule-base and parameters of MFs (Hoffmann 2001;Siarry and Guely 1998;Zajaczkowski and Verma 2009). In most of the cases, either the rule-base is fixed and the parameters of the MFs are adjusted or MFs are fixed and the rule-base is optimised by evolutionary algorithms.…”