Integrating Design phases of Fuzzy Systems using Evolutionary Algorithms

Kuldeep Kumar Katiyar; Sunil Awasthi

Volume : VIII, Issue : VI, June - 2019

Integrating Design phases of Fuzzy Systems using Evolutionary Algorithms

Kuldeep Kumar Katiyar, Sunil Awasthi

Abstract :

This paper initiate an automatic fuzzy system design method that uses a genetic algorithm and integrates three design stages; our method determines membership functions, the number of fuzzy rules, and the rule consequent parameters at the same time because these design stages may not be independent, it is important to consider e method includes a genetic algorithm and a penalty strategy that favors systems with fewer rules. The proposed method is applied to the classic inverted pendulum control problem . Now a–days researchers are taking keen interest towards integrating fuzzy systems with learning and adaptation capabilities. The two well known methodologies to augment fuzzy systems along with learning and adaptation procedures are neural fuzzy systems and genetic fuzzy systems.