Construction of Fuzzy Rule-Base by Genetic Algorithm
김영권, 이말례, 김기태 · Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong · 1997
In this paper proposes a method for determing Fuzzy rules in fuzzy control of systems using genetic algorithm. Fuzzy rule base based on fuzzy control systems is can be constructed using expert’s knowledge and experiments. But, If the controlled plant is complex system, and it is not easily to construct the fuzzy control rules. In order to solve such problems, in this paper presents a method for determining an optimal rule base using genetic algorithm that is very effectively in the optimization problem. The optimal controlled rules uses the fitness function which are the performance measurement criterion in fuzzy control system. Computer simulations is provide to illustrate the effective of the proposed method in fuzzy logic control systems.