Design of complex fuzzy classification system based on cooperative coevolutionary algorithm
复杂模糊分类系统的协同进化设计方法

A novel approach to construct complex fuzzy classification system based on cooperative coevolutionary(Co-evolution) algorithm is proposed in this paper. The approach is composed of three phases: 1) feature selection is accomplished by the Simba algorithm; 2) the initial fuzzy system is identified using the fuzzy clustering algorithm; 3) the structure and parameters of the fuzzy system are optimized by the Co-evolution algorithm. The Co-evolution algorithm owns three species including the number of fuzzy rules species, the premise structure species and the parameters species. Considering both precision and interpretability, the fitness function is calculated on the cooperation of individuals from the three species. The proposed approach had been applied to several benchmark problems, the results showed its validity.