摘要
由于模糊系统的输入、输出变量模糊集中模糊集的多少直接影响到模糊规则集的完备程度 ,并决定着控制系统的性能 ,所以本文提出了一种基于递阶遗传算法的模糊控制系统的模糊集优化方法 ,同时对模糊集的个数和形状进行优化 ,使其能尽量完美地反映系统输入、输出变量 ,减少了规则的冗余 .
Because the number of the fuzzy sets in input and output variable fields directly affects the completeness of fuzzy rules and decides the performance of control system, an approach for optimizing fuzzy sets based on hierarchical genetic algorithms is proposed in this paper, which optimizes the number and shape of fuzzy sets in fields simultaneously, makes fuzzy sets distribution orderly and reduces rules redundancy. The simulation results of second ordered system show that the approach presented is effective.
出处
《信息与控制》
CSCD
北大核心
2003年第6期561-563,573,共4页
Information and Control
