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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
17/11/2015 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LIMA, H. P. de; CAMARGO, H. de A. |
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Afiliação: |
HELANO PÓVOAS DE LIMA, CNPTIA; HELOISA DE ARRUDA CAMARGO, UFSCar. |
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Título: |
A methodology for building fuzzy rule-based systems integrating expert and data knowledge. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS, 2014, São Carlos. Proceedings... [S. l.]: Conference Publishing Services, 2014. |
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Páginas: |
p. 300-305. |
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DOI: |
10.1109/BRACIS.2014.61 |
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Idioma: |
Inglês |
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Notas: |
BRACIS 2014. |
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Conteúdo: |
Historically, since Mamdani proposed his model of fuzzy rule-based system, a lot has changed in the construction process of this type of models. For a long time, the research efforts were directed towards the automatic construction of accurate models starting from data, making fuzzy systems almost mere function approximators. Realizing that this approach escapes from the original concept of fuzzy theory, more recently, researchers attention - focused on the automatic construction of more interpretable models. However, such models, although interpretable, can still not make sense to the expert. This paper proposes an interactive methodology for constructing fuzzy rule-based systems, which aims to integrate the knowledge extracted from experts and induced from data, hoping to contribute to the solution of the mentioned problem. |
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Palavras-Chave: |
Algoritmo genético; Construction methodology; Domain expert; Fuzzy system; Metodologia; Multiobjective genetic algorithm. |
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Thesaurus NAL: |
Expert opinion; Fuzzy logic; Knowledge. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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100 1 $aLIMA, H. P. de
245 $aA methodology for building fuzzy rule-based systems integrating expert and data knowledge.$h[electronic resource]
260 $aIn: BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS, 2014, São Carlos. Proceedings... [S. l.]: Conference Publishing Services$c2014
300 $ap. 300-305.
500 $aBRACIS 2014.
520 $aHistorically, since Mamdani proposed his model of fuzzy rule-based system, a lot has changed in the construction process of this type of models. For a long time, the research efforts were directed towards the automatic construction of accurate models starting from data, making fuzzy systems almost mere function approximators. Realizing that this approach escapes from the original concept of fuzzy theory, more recently, researchers attention - focused on the automatic construction of more interpretable models. However, such models, although interpretable, can still not make sense to the expert. This paper proposes an interactive methodology for constructing fuzzy rule-based systems, which aims to integrate the knowledge extracted from experts and induced from data, hoping to contribute to the solution of the mentioned problem.
650 $aExpert opinion
650 $aFuzzy logic
650 $aKnowledge
653 $aAlgoritmo genético
653 $aConstruction methodology
653 $aDomain expert
653 $aFuzzy system
653 $aMetodologia
653 $aMultiobjective genetic algorithm
700 1 $aCAMARGO, H. de A.
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