Prediction of complex systems' behavior described by fuzzy relational equations

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 predict...

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Bibliographic Details
Published inProceedings of 1994 IEEE 3rd International Fuzzy Systems Conference pp. 1040 - 1044 vol.2
Main Authors Ben Ghalia, M., Alouani, A.T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
Subjects
Chaos
Clustering algorithms
Control system synthesis
Cost function
Equations
Fuzzy systems
Performance evaluation
Prediction algorithms
Predictive models
State estimation
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Summary: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.< >
ISBN:078031896X
9780780318960
DOI:10.1109/FUZZY.1994.343879