Choice of experiments and analysis of approximation accuracy in a Tagaki-Sugeno fuzzy system

Abstract

We are concerned with two important points in identification of fuzzy systems, namely choosing training data for optimal coverage of input space and establishing approximation error bounds. We present a method to determine a good distribution of experimental data and we establish in this case approximation bound errors.