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dc.contributor.authorMASSRUHA, S. M. F. S.pt_BR
dc.contributor.authorDUTRA, J. P.pt_BR
dc.contributor.authorCRUZ, S. A. B. dapt_BR
dc.contributor.authorSANDRI, S.pt_BR
dc.contributor.authorWAINER, J.pt_BR
dc.contributor.authorMORANDI, M. A. B.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2007-08-23pt_BR
dc.date.issued2007pt_BR
dc.identifier.citationIn: BIENNIAL CONFERENCE OF EUROPEAN FEDERATION OF IT IN AGRICULTURE, 6., 2007, Glasgow. Environmental and Rural Sustainability through ICT: Proceedings. Glasgow: Glasgow Caledonian University, 2007.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/2924pt_BR
dc.descriptionThis 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectDiagnosept_BR
dc.subjectLógica difusapt_BR
dc.subjectAplicação webpt_BR
dc.subjectDiagnosispt_BR
dc.subjectAbductive inferencept_BR
dc.subjectWeb applicationpt_BR
dc.titleAn object-oriented framework for virtual diagnosis.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2020-02-07T11:11:11Zpt_BR
dc.subject.thesagroDiagnósticopt_BR
dc.subject.nalthesaurusFuzzy logicpt_BR
dc.description.notesEFITA/WCCA 2007.pt_BR
dc.format.extent26 p.pt_BR
riaa.ainfo.id2924pt_BR
riaa.ainfo.lastupdate2020-02-07 -02:00:00pt_BR
dc.contributor.institutionSILVIA 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.pt_BR
Appears in Collections:Artigo em anais de congresso (CNPTIA)

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