DocumentCode
3449279
Title
Constructing a fuzzy model from wavelet transforms
Author
Lin, Chum-Kai ; Wang, Sheng-De
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear
1996
fDate
11-14 Dec 1996
Firstpage
394
Lastpage
399
Abstract
An approach using wavelet transforms to construct a fuzzy model is proposed. This paper shows that a fuzzy inference system with some minor restrictions and modifications can function as a discrete wavelet transform. In the proposed fuzzy inference system, each fuzzy rule is analogous to a wavelet basis function multiplied by a coefficient. Due to the functional equivalence between wavelet transforms and fuzzy inference systems, the fuzzy inference system can share the advantages of wavelet transforms
Keywords
fuzzy logic; inference mechanisms; transforms; uncertainty handling; wavelet transforms; discrete wavelet transform; functional equivalence; fuzzy inference system; fuzzy model; fuzzy rule; wavelet basis function; wavelet transforms; Buildings; Control system synthesis; Discrete wavelet transforms; Erbium; Fourier transforms; Fuzzy systems; Multidimensional systems; Nonlinear control systems; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location
Kenting
Print_ISBN
0-7803-3687-9
Type
conf
DOI
10.1109/AFSS.1996.583641
Filename
583641
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