基于规则灵敏度的模糊逻辑系统结构简化方法

基于规则灵敏度给出了模糊逻辑系统结构简化的一种方法.首先引入规则灵敏度的概念,在此基础上构造一个新的函数,并将其作为罚函数加入目标函数作为新的性能指标.通过优化性能指标来调整模糊逻辑系统的参数,使其输出在逼近期望输出的同时,有尽可能多的规则灵敏度接近于0.通过消去灵敏度接近于0的规则可达到简化系统结构的目的.仿真结果证实了所给方法的有效性.

A Method to Simplify Fuzzy Logic System Structure Based on Rule Sensitivity

A method to simplify fuzzy logic system (FLS) structure was presented based on rule sensitivity. With introducing the concept of rule sensitivity, a new function was constructed and added into objective function to get a penalty function.In this way, a new performance index was obtained. Then, fuzzy logic system parameters were modified by optimizing the performance index. On the above basis, as many as possible sensitivities can be approximated to zero, while keeping outputs of the fuzzy logic system approximate to the desire ones. Finally, the fuzzy logic system was simplified by eliminating those rules with approximately zero sensitivities. The efficiency of the method was verified by simulation results.