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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Meio Ambiente. |
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Data corrente: |
23/08/2007 |
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Data da última atualização: |
07/02/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
MASSRUHA, S. M. F. S.; DUTRA, J. P.; CRUZ, S. A. B. da; SANDRI, S.; WAINER, J.; MORANDI, M. A. B. |
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Afiliação: |
SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; JULIANO PASTORELLI DUTRA, Brainweb Tecnologia, Campinas, SP; SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; SANDRA SANDRI, Institut d'Investigación en Intelligéncia Artificial, Belaterra Spain; JACQUES WAINER, IC/Unicamp; MARCELO AUGUSTO BOECHAT MORANDI, CNPMA. |
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Título: |
An object-oriented framework for virtual diagnosis. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: BIENNIAL CONFERENCE OF EUROPEAN FEDERATION OF IT IN AGRICULTURE, 6., 2007, Glasgow. Environmental and Rural Sustainability through ICT: Proceedings. Glasgow: Glasgow Caledonian University, 2007. |
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Páginas: |
6 p. |
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Idioma: |
Inglês |
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Notas: |
EFITA/WCCA 2007. |
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Conteúdo: |
This paper presents an object-oriented approach to support, on the web, an integrated framework for diagnosis, investigation and treatment of disorders (diseases, computer faults, etc). In this framework, called Fuzzy Covering Theory (FCT), the knowledge is basically modeled through causal associations between objects and inference is abductive. In this new approach, it was necessary to specify the classes model using object - oriented methodology and the knowledge base model that was a flat file in Prolog. These models are discussed in this paper as well as the advantages and limitations of this new approach. |
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Palavras-Chave: |
Abductive inference; Aplicação web; Corn diseases; Diagnose; Diagnosis; Knowledge discovery; Lógica difusa; Predictions; Text mining; Web application. |
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Thesagro: |
Diagnóstico. |
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Thesaurus NAL: |
Fuzzy logic. |
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Categoria do assunto: |
H Saúde e Patologia
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/159926/1/PL-ObjectOriented-Massruha-EFITA-2007.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/101814/1/2007AA-092.pdf
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Marc: |
LEADER 01665nam a2200337 a 4500
001 1002924
005 2020-02-07
008 2007 bl uuuu u00u1 u #d
100 1 $aMASSRUHA, S. M. F. S.
245 $aAn object-oriented framework for virtual diagnosis.$h[electronic resource]
260 $aIn: BIENNIAL CONFERENCE OF EUROPEAN FEDERATION OF IT IN AGRICULTURE, 6., 2007, Glasgow. Environmental and Rural Sustainability through ICT: Proceedings. Glasgow: Glasgow Caledonian University$c2007
300 $a6 p.
500 $aEFITA/WCCA 2007.
520 $aThis paper presents an object-oriented approach to support, on the web, an integrated framework for diagnosis, investigation and treatment of disorders (diseases, computer faults, etc). In this framework, called Fuzzy Covering Theory (FCT), the knowledge is basically modeled through causal associations between objects and inference is abductive. In this new approach, it was necessary to specify the classes model using object - oriented methodology and the knowledge base model that was a flat file in Prolog. These models are discussed in this paper as well as the advantages and limitations of this new approach.
650 $aFuzzy logic
650 $aDiagnóstico
653 $aAbductive inference
653 $aAplicação web
653 $aCorn diseases
653 $aDiagnose
653 $aDiagnosis
653 $aKnowledge discovery
653 $aLógica difusa
653 $aPredictions
653 $aText mining
653 $aWeb application
700 1 $aDUTRA, J. P.
700 1 $aCRUZ, S. A. B. da
700 1 $aSANDRI, S.
700 1 $aWAINER, J.
700 1 $aMORANDI, M. A. B.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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