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Hybrid Models in Epidemiology

  • Eduardo Massad
  • Neli Regina Siqueira Ortega
  • Laecio Carvalho de Barros
  • Claudio José Struchiner
Chapter
  • 950 Downloads
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 232)

Abstract

This book is devoted to the applications of fuzzy sets theory in epidemiology and correlated areas. However, as it is observed in other fields, it is becoming more and more common the use of the multiple and combined mathematical tools, aiming the treatment of complex problems in biomedical sciences. Usually the mixing of these different approaches involves classical mathematics and artificial intelligent theories, such as fuzzy systems, neural networks, evolutionary computation, expert systems, cellular automata, and so on. This kind of modeling, where several approaches are put working together, is called hybrid models.

Keywords

Membership Function Fuzzy Rule Hybrid Model Fuzzy Model Prey Population 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Eduardo Massad
    • 1
  • Neli Regina Siqueira Ortega
    • 1
  • Laecio Carvalho de Barros
    • 2
  • Claudio José Struchiner
    • 3
  1. 1.The University of São Paulo, São PauloBrazil
  2. 2.State University of Campinas, CampinasBrazil
  3. 3.PROCC, Rio de JaneiroBrazil

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