Evolving fuzzy systems : A new strategy for rule semantics preservation

Fuzzy rule-based systems have proved to be a convenient tool for modeling complex systems. This is due to their capacity to capture their typical imprecision, which makes classical methods inefficient. At present, Fuzzy Logic Controllers (FLC) are considered one of the most important applications o...

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Detalles Bibliográficos
Autores principales: Osella Massa, Germán Leandro, Corbalán, Leonardo César, Lanzarini, Laura Cristina, De Giusti, Armando Eduardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2005
Materias:
Ciencias Informáticas
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22951
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-22951
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
spellingShingle Ciencias Informáticas
Osella Massa, Germán Leandro
Corbalán, Leonardo César
Lanzarini, Laura Cristina
De Giusti, Armando Eduardo
Evolving fuzzy systems : A new strategy for rule semantics preservation
topic_facet Ciencias Informáticas
description Fuzzy rule-based systems have proved to be a convenient tool for modeling complex systems. This is due to their capacity to capture their typical imprecision, which makes classical methods inefficient. At present, Fuzzy Logic Controllers (FLC) are considered one of the most important applications of fuzzy rule-based systems. However, the learning process of proper rules for a given problem is still an important research issue. In this direction, different solutions for this problem have been developed, many of them based on Evolutionary Algorithms. Nevertheless, the preservation of fuzzy system rules semantics during the evolving process - more specifically during the recombination - is not always assured. This paper proposes a codification for fuzzy systems together with the proper genetic operators in order to achieve a balance between the searching process carried out by the evolving algorithm and the preservation of the recombined fuzzy system. Such codification and the proposed genetic operators have been used in an evolving algorithm, and its behavior in real function approximation has been tested, with successful results.
format Objeto de conferencia
Objeto de conferencia
author Osella Massa, Germán Leandro
Corbalán, Leonardo César
Lanzarini, Laura Cristina
De Giusti, Armando Eduardo
author_facet Osella Massa, Germán Leandro
Corbalán, Leonardo César
Lanzarini, Laura Cristina
De Giusti, Armando Eduardo
author_sort Osella Massa, Germán Leandro
title Evolving fuzzy systems : A new strategy for rule semantics preservation
title_short Evolving fuzzy systems : A new strategy for rule semantics preservation
title_full Evolving fuzzy systems : A new strategy for rule semantics preservation
title_fullStr Evolving fuzzy systems : A new strategy for rule semantics preservation
title_full_unstemmed Evolving fuzzy systems : A new strategy for rule semantics preservation
title_sort evolving fuzzy systems : a new strategy for rule semantics preservation
publishDate 2005
url http://sedici.unlp.edu.ar/handle/10915/22951
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AT corbalanleonardocesar evolvingfuzzysystemsanewstrategyforrulesemanticspreservation
AT lanzarinilauracristina evolvingfuzzysystemsanewstrategyforrulesemanticspreservation
AT degiustiarmandoeduardo evolvingfuzzysystemsanewstrategyforrulesemanticspreservation
bdutipo_str Repositorios
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