• DocumentCode
    3384547
  • Title

    A disease evolution model with uncertain parameters

  • Author

    Barros, L.C. ; Bassanezi, R.C. ; Oliveira, R.Z.G. ; Leite, M.B.F.

  • Author_Institution
    DMA-IMEEC, UNICAMP, Campinas, Brazil
  • Volume
    3
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    1626
  • Abstract
    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
  • Keywords
    diseases; fuzzy set theory; medical computing; uncertainty handling; SIS epidemiological model; disease evolution model; disease transmission; epidemics; fuzzy expectancy value; fuzzy set theory; possibility measures; susceptible infected susceptible model; uncertain parameters; viral charge; Diseases; Fuzzy sets; Ice; Immune system; Mathematical model; Nonlinear equations; Production; Stability; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943794
  • Filename
    943794