Research on input variable selection for numeric data based fuzzy modeling

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.