A disease evolution model with uncertain parameters
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Data
2001-12-01
Autores
Barros, L. C.
Bassanezi, R. C.
Oliveira, R. Z G [UNESP]
Leite, M. B.
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Resumo
In 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.
Descrição
Palavras-chave
Diseases, Epidemiology, Mathematical models, Medical applications, Parameter estimation, Uncertain systems, Disease evolution model, Susceptible infected susceptible epidemilogical model, Uncertain parameters, Fuzzy sets
Como citar
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, v. 3, p. 1626-1630.