DocumentCode
2275601
Title
Prediction of complex systems´ behavior described by fuzzy relational equations
Author
Ghalia, M. Ben ; Alouani, A.T.
Author_Institution
Center for Manuf. Res., Tennessee Technol. Univ., Cookeville, TN, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
1040
Abstract
This paper deals with prediction of complex systems´ behavior described by fuzzy relational equations. A recursive prediction algorithm is proposed and the procedure to update the fuzzy relation of the model as new measurements are collected is discussed. The algorithm is applied to the prediction of chaotic time-series
Keywords
chaos; fuzzy set theory; large-scale systems; parameter estimation; time series; chaotic time-series; complex system behaviour prediction; fuzzy identification; fuzzy relational equations; fuzzy set theory; recursive prediction algorithm; Chaos; Clustering algorithms; Control system synthesis; Cost function; Equations; Fuzzy systems; Performance evaluation; Prediction algorithms; Predictive models; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343879
Filename
343879
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