Research on input variable selection for numeric data based fuzzy modeling
Zongyi Xing, Li-Min Jia, Yong Qin, Tao Lei · 2004
The first step to system modeling and control is input variable selection. Based on fast fuzzy modeling algorithm and input variable selection criterion, a simple and effective method for selecting input variables when building a Takagi-Sugeno fuzzy model is proposed. This method is applied to two well-known benchmark examples. Simulation results clearly show the effectiveness of the algorithm.