A disease evolution model with uncertain parameters

dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorPUC
dc.date.accessioned2014-05-27T11:20:20Z
dc.date.available2014-05-27T11:20:20Z
dc.date.created2014-05-27T11:20:20Z
dc.date.issued2001-12-01
dc.identifierAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS, v. 3, p. 1626-1630.
dc.identifierhttp://hdl.handle.net/11449/66667
dc.identifier10.1109/NAFIPS.2001.943794
dc.identifier2-s2.0-0035792817
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.
dc.languageeng
dc.relationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
dc.rightsAcesso aberto
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 parameters
dc.typeActas de congresos


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