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Interactive Fuzzy Process: An Epidemiological Model

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Fuzzy Information Processing (NAFIPS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 831))

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Abstract

In this study we analyze an two-dimensional epidemiological model via fuzzy differential equation considering that the solution is an interactive fuzzy process. More particularly, we will consider the case where this process is linearly correlated.

L. C. de Barros—CNPq processo \(306546/2017-5\).

E. Esmi—FAPESP processo \(2016/26040-7\).

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References

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Author information

Authors and Affiliations

  1. Department of Physics, Chemistry and Mathematics, Federal University of São Carlos, Sorocaba, SP, 18052-780, Brazil

    Francielle Santo Pedro

  2. Institute of Mathematics, Statistics and Scientific Computation, State University of Campinas, Campinas, SP, 13083-970, Brazil

    Laécio Carvalho de Barros & Estevão Esmi

Authors
  1. Francielle Santo Pedro
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  2. Laécio Carvalho de Barros
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  3. Estevão Esmi
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Corresponding author

Correspondence to Francielle Santo Pedro .

Editor information

Editors and Affiliations

  1. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Guilherme A. Barreto

  2. Department of Statistics & Applied Mathematics, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Ricardo Coelho

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Pedro, F.S., de Barros, L.C., Esmi, E. (2018). Interactive Fuzzy Process: An Epidemiological Model. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-95312-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95311-3

  • Online ISBN: 978-3-319-95312-0

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