关键词: 分层模糊系统, TSK模糊模型, 解释性, 模糊规则, 辨识参数

Abstract: As the increase of input dimensions in fuzzy system, fuzzy rules and identification parameters will increase according to exponential growth. To solve the problem, the use of hierarchical fuzzy system is an excellent solution. However, the identification parameters in hierarchical fuzzy system haven’t clear physical meaning, it is hard to be designed and explained reasonably. This paper proposes a new hierarchical fuzzy system by using centralized TSK fuzzy model. The new fuzzy system retains the structure advantages of hierarchical fuzzy system. It not only includes less fuzzy rules and parameters, but also can give a reasonable explanation for the parameters of the system. According to the example simulation, the new fuzzy system has good approximation performance and more simple structure.

Key words: hierarchical fuzzy system, TSK fuzzy model, explanation, fuzzy rule, identification parameter