Title :
Some necessary conditions for single-input single-output fuzzy systems as universal approximators
Author :
Ying, Hao ; Chen, Guanrong
Author_Institution :
Dept. of Physiol. and Biophys., Texas Univ. Med. Branch, Galveston, TX, USA
Abstract :
In this paper, we investigate necessary conditions for some typical single-input single-output fuzzy systems as universal approximators for continuous functions defined on compact domains with arbitrarily small uniform approximation error bounds. The necessary conditions we found provide a basis for insightful analysis of strength as well as limitation of the fuzzy systems. The main strength is that only a small number of fuzzy rules may be needed to uniformly approximate continuous functions that have a complicated formulation but a relatively small number of extrema. The limitation is that in order to approximate frequently oscillatory continuous functions, the number of fuzzy rules must be large
Keywords :
fuzzy control; fuzzy systems; inference mechanisms; compact domains; continuous functions; error bounds; frequently oscillatory continuous functions; fuzzy rules; necessary conditions; single-input single-output fuzzy systems; universal approximators; Approximation error; Approximation methods; Biomedical engineering; Biophysics; Fuzzy sets; Fuzzy systems; Input variables; Mechanical factors; Physiology; Polynomials;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375124