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|Type:||Artigo de periódico|
|Title:||A highly adaptive algorithm for fuzzy modelling of systems|
do Amaral, WC
|Abstract:||An optimization-based methodology for on-line discrete-time fuzzy relational model identification is proposed. Approximated solutions for extended fuzzy relational equations are derived without the necessity of the previous identification of an appropriate initial fuzzy relation. A heuristic is used making the algorithm capable of solving the identification problem when the fuzzy relational matrix is biased. A set of quadratic performance indices containing only fuzzy quantities provides accurate results and allows the utilization of a simple optimization method. The efficiency of the proposed methodology is illustrated using two numerical examples in which synthetic data are generated by the identified models.|
fuzzy relational equations
|Editor:||World Scientific Publ Co Pte Ltd|
|Citation:||International Journal Of Uncertainty Fuzziness And Knowledge-based Systems. World Scientific Publ Co Pte Ltd, v. 6, n. 1, n. 35, n. 50, 1998.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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