Genetic algorithm combined with immune mechanism and its application in skill fuzzy control

Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It´s significant for those control instances consisted in production and people´s daily life. But, how to control a system not movement or behavior rules but only relied on movement parameters, that problem still had not be resolved. This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership, at same time, simplifying the corresponding movement equation. its efficiency will be indicated by an example.