Fuzzy gradual rules in epidemiology

dc.creatorOrtega, N
dc.creatorBarros, LC
dc.creatorMassad, E
dc.date2003
dc.date2014-11-13T23:36:55Z
dc.date2015-11-26T17:12:13Z
dc.date2014-11-13T23:36:55Z
dc.date2015-11-26T17:12:13Z
dc.date.accessioned2018-03-29T00:00:38Z
dc.date.available2018-03-29T00:00:38Z
dc.identifierKybernetes. Emerald, v. 32, n. 41732, n. 460, n. 477, 2003.
dc.identifier0368-492X
dc.identifierWOS:000182443000018
dc.identifier10.1108/03684920310463876
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/67718
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/67718
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/67718
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1281276
dc.descriptionThis paper presents an application of the fuzzy gradual rules in an epidemic study of canine rabies in Sao Paulo city, Brazil. A linguistic epidemiological model was elaborated through fuzzy rules built by the Extension Principle. We used both the inference method of Mamdani and of Dubois et al. The results were compared with real data from Sao Paulo and with another MISO Model, which is entirely based on expert knowledge presented in a previous work. Questions about application of fuzzy techniques in epidemiology, different inference methods and the Dubois et al. methodology are discussed.
dc.description32
dc.description41732
dc.description460
dc.description477
dc.languageen
dc.publisherEmerald
dc.publisherBradford
dc.publisherInglaterra
dc.relationKybernetes
dc.relationKybernetes
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectcybernetics
dc.subjectfuzzy logics
dc.subjectmedicine
dc.subjectepidemiology
dc.subjectDifferential-equations
dc.subjectBrazil
dc.subjectSeroprevalence
dc.subjectModel
dc.titleFuzzy gradual rules in epidemiology
dc.typeArtículos de revistas


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