The minimum worst case error of fuzzy approximators
C.P. Kwong · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2001
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.