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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: |
LEADER 01715nam a2200265 a 4500
001 2028658
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008 2014 bl uuuu u00u1 u #d
024 7 $a10.1109/BRACIS.2014.61$2DOI
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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Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
03/08/2023 |
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Data da última atualização: |
03/08/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
NASCIMENTO FILHO, W. B. do; IDADE, M. J. A.; PANERO, F. dos S.; SMIDERLE, O. J. |
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Afiliação: |
WILSON BOTELHO DO NASCIMENTO FILHO, ESCOLA AGROTÉCNICA DA UNIVERSIDADE FEDERAL DE RORAIMA; MIRLA JANAINA AUGUSTA CIDADE, UNIVERSIDADE FEDERAL DE RORAIMA; FRANCISCO DOS SANTOS PANERO, UNIVERSIDADE FEDERAL DE RORAIMA; OSCAR JOSE SMIDERLE, CPAF-RR. |
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Título: |
Application of Digital Imaging Allied to Chemometrics in the Use of Non-destructive Phenotyping of Sesame Seeds. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Brazilian Journal of Analytical Chemistry, v. 10, n. 38, p. 105-118, 2022. |
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DOI: |
10.30744/brjac.2179-3425.AR-88-2022 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Digital image processing and analysis; Multivariate image analysis; Non-destructive phenotyping; Pattern recognition methods. |
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Thesaurus NAL: |
Colorimetry. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1155600/1/brjac-88-2022ArtigoGergelimIMAGENS.pdf
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Marc: |
LEADER 00798naa a2200217 a 4500
001 2155600
005 2023-08-03
008 2022 bl uuuu u00u1 u #d
024 7 $a10.30744/brjac.2179-3425.AR-88-2022$2DOI
100 1 $aNASCIMENTO FILHO, W. B. do
245 $aApplication of Digital Imaging Allied to Chemometrics in the Use of Non-destructive Phenotyping of Sesame Seeds.$h[electronic resource]
260 $c2022
650 $aColorimetry
653 $aDigital image processing and analysis
653 $aMultivariate image analysis
653 $aNon-destructive phenotyping
653 $aPattern recognition methods
700 1 $aIDADE, M. J. A.
700 1 $aPANERO, F. dos S.
700 1 $aSMIDERLE, O. J.
773 $tBrazilian Journal of Analytical Chemistry$gv. 10, n. 38, p. 105-118, 2022.
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