Title :
The minimum worst case error of fuzzy approximators
Author_Institution :
Dept. of Autom. & Computer-Aided Eng., Chinese Univ. of Hong Kong, Shatin, China
fDate :
11/1/2001 12:00:00 AM
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
Keywords :
computational complexity; fuzzy set theory; knowledge based systems; uncertainty handling; IBC; approximation capability; fuzzy approximators; fuzzy rule bases; fuzzy system theory; fuzzy systems; information-based complexity; input-output maps; minimum worst case error; Approximation algorithms; Automation; Computational complexity; Computer aided software engineering; Councils; Fuzzy systems; Humans; Noise shaping; Shape; Uncertainty;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.983427
