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dc.date.accessioned 2012-10-25T17:19:37Z
dc.date.available 2012-10-25T17:19:37Z
dc.date.issued 2005-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22951
dc.description.abstract 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. en
dc.language en es
dc.title Evolving fuzzy systems en
dc.type Objeto de conferencia es
sedici.title.subtitle A new strategy for rule semantics preservation en
sedici.creator.person Osella Massa, Germán Leandro es
sedici.creator.person Corbalán, Leonardo César es
sedici.creator.person Lanzarini, Laura Cristina es
sedici.creator.person De Giusti, Armando Eduardo es
sedici.description.note VI Workshop de Agentes y Sistemas Inteligentes (WASI) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2005-10
sedici.relation.event XI Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)