Approach for evolving hierarchical T-S fuzzy systems
A combination approach of a modified PIPE algorithm to find the best architecture of hierarchical TS fuzzy model for a given problem and a simple evolutionary programming algorithm to optimize the parameters embedded in the hierarchical TS fuzzy model is proposed. Simulation result for the chaotic time-series prediction problem shows the feasibility and effectiveness of the proposed method.