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
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;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943794
