Abstract

The approximation capability of fuzzy systems is an important topic of research when the systems are regarded as input-output maps. By using the notion of information-based complexity (IBC), we derive the minimum worst case error of a fuzzy approximator, which is independent of the detailed construction of the fuzzy rule bases.

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