Fuzzy epidemics.
The purpose of this paper is to provide a review of the current state of fuzzy logic theory in epidemiology, which is a recent area of research. We present four applications of fuzzy logic theory in epidemic problems, using linguistic fuzzy models, possibility measure, probability of fuzzy events and fuzzy decision making techniques. The results demonstrate that the applications of fuzzy sets in epidemiology is a very promising area of research. The final discussion sets the future stage of fuzzy sets application in epidemiology.
Massad
Eduardo
E
School of Public Health and School of Medicine, The University of Sao Paulo, Avenue Dr. Arnaldo 455, 01246-903 Sao Paulo, Brazil. edmassad@usp.br
Ortega
Neli Regina Siqueira
NR
Struchiner
Cláudio José
CJ
Burattini
Marcelo Nascimento
MN
D000163:Acquired Immunodeficiency Syndrome / Q000209:etiology; D003198:Computer Simulation; D003661:Decision Support Techniques; D004196:Disease Outbreaks / Q000517:prevention & control; D004812:Epidemiologic Methods; D017143:Fuzzy Logic; D006801:Humans; D008457:Measles / Q000453:epidemiology / Q000517:prevention & control; D008962:Models, Theoretical; D011336:Probability; D014611:Vaccination