A fuzzy cellular automata for SIR compartmental models

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorInstituto Nacional de Pesquisas Espaciais - INPE-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorDa Costa, Walley-
Autor(es): dc.creatorMedeiros, Líliam [UNESP]-
Autor(es): dc.creatorSandri, Sandra-
Data de aceite: dc.date.accessioned2022-08-04T22:03:46Z-
Data de disponibilização: dc.date.available2022-08-04T22:03:46Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2013-12-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-319-03200-9_24-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/220070-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/220070-
Descrição: dc.descriptionWe propose a representation of the dynamics of epidemics through a compartmental SIR (Susceptible - Infected - Recovered) model, with the combined use of geo-referenced cellular automata and fuzzy systems. In this model, each cell does not correspond to an individual, but to groups of individuals inhabiting the physical space corresponding to the cell. The temporal evolution of the transmission consider is modeled by changes in the size of groups of individuals in each category (susceptible, infected and recovered). We applied our model on the spread of dengue in a region in Southeast Brazil. The application shows that the proposed model, using only a small set of simple fuzzy rules, is able to represent qualitatively the behavior of an epidemiological SIR mode, a rather complex problem. © Springer International Publishing 2013.-
Descrição: dc.descriptionInstituto Nacional de Pesquisas Espaciais - INPE, 12201-970, São José dos Campos, SP-
Descrição: dc.descriptionUniversidade Estadual Paulista - Unesp, 12245-000, São José dos Campos, SP-
Descrição: dc.descriptionUniversidade Estadual Paulista - Unesp, 12245-000, São José dos Campos, SP-
Formato: dc.format234-247-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
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Palavras-chave: dc.subjectCellular automata-
Palavras-chave: dc.subjectDengue-
Palavras-chave: dc.subjectFuzzy systems-
Palavras-chave: dc.subjectInfectious diseases-
Palavras-chave: dc.subjectSIR-
Título: dc.titleA fuzzy cellular automata for SIR compartmental models-
Aparece nas coleções:Repositório Institucional - Unesp

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