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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/66667
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dc.contributor.authorBarros, L. C.-
dc.contributor.authorBassanezi, R. C.-
dc.contributor.authorOliveira, R. Z G-
dc.contributor.authorLeite, M. B F-
dc.date.accessioned2014-05-27T11:20:20Z-
dc.date.accessioned2016-10-25T18:17:20Z-
dc.date.available2014-05-27T11:20:20Z-
dc.date.available2016-10-25T18:17:20Z-
dc.date.issued2001-12-01-
dc.identifierhttp://dx.doi.org/10.1109/NAFIPS.2001.943794-
dc.identifier.citationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS, v. 3, p. 1626-1630.-
dc.identifier.urihttp://hdl.handle.net/11449/66667-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/66667-
dc.description.abstractIn this study we consider the SIS epidemiological model (susceptible-infected-susceptible) in which the transmission and recuperation rates are considered fuzzy sets. The concepts of possibility measures and fuzzy expectancy value are used to obtain the basic reproduction value for infected groups with different viral charge.en
dc.format.extent1626-1630-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectDiseases-
dc.subjectEpidemiology-
dc.subjectMathematical models-
dc.subjectMedical applications-
dc.subjectParameter estimation-
dc.subjectUncertain systems-
dc.subjectDisease evolution model-
dc.subjectSusceptible infected susceptible epidemilogical model-
dc.subjectUncertain parameters-
dc.subjectFuzzy sets-
dc.titleA disease evolution model with uncertain parametersen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionPUC-
dc.description.affiliationDMA-IMEEC UNICAMP, Campinas, SP-
dc.description.affiliationIGCE UNESP, Rio Claro, SP-
dc.description.affiliationICE PUC, Campinas, SP-
dc.description.affiliationUnespIGCE UNESP, Rio Claro, SP-
dc.identifier.doi10.1109/NAFIPS.2001.943794-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS-
dc.identifier.scopus2-s2.0-0035792817-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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