DocumentCode
1470815
Title
Designing fuzzy logic systems
Author
Mendel, Jerry M. ; Mouzouris, George C.
Author_Institution
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Volume
44
Issue
11
fYear
1997
fDate
11/1/1997 12:00:00 AM
Firstpage
885
Lastpage
895
Abstract
We present a formulation of a fuzzy logic system (FLS) that can be used to construct nonparametric models of nonlinear processes, given only input-output data. In order to effectively construct such models, we discuss several design methods with different properties and features. We compare and illustrate systems designed with each one of the methods, using an example on the predictive modeling of a nonlinear dynamic (chaotic) system
Keywords
backpropagation; fuzzy logic; fuzzy set theory; least squares approximations; singular value decomposition; time series; RLS method; chaotic system; design methods; fuzzy logic systems; input-output data; nonlinear dynamic system; nonlinear processes; nonparametric models; predictive modeling; Adaptive systems; Backpropagation; Chaos; Design methodology; Fuzzy logic; Fuzzy set theory; Interpolation; Nonlinear dynamical systems; Predictive models; Surface fitting;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.644042
Filename
644042
Link To Document