Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/67718
Type: Artigo
Title: Fuzzy gradual rules in epidemiology
Author: Ortega, Neli
Barros, Laécio C.
Massad, Eduardo
Abstract: This paper presents an application of the fuzzy gradual rules in an epidemic study of canine rabies in Sao Paulo city, Brazil. A linguistic epidemiological model was elaborated through fuzzy rules built by the Extension Principle. We used both the inference method of Mamdani and of Dubois et al. The results were compared with real data from Sao Paulo and with another MISO Model, which is entirely based on expert knowledge presented in a previous work. Questions about application of fuzzy techniques in epidemiology, different inference methods and the Dubois et al. methodology are discussed.
This paper presents an application of the fuzzy gradual rules in an epidemic study of canine rabies in Sao Paulo city, Brazil. A linguistic epidemiological model was elaborated through fuzzy rules built by the Extension Principle. We used both the inferen
Subject: Medicina
Cibernética
Epidemiologia - Modelos matemáticos
Lógica fuzzy
Country: Reino Unido
Editor: Emerald
Citation: Kybernetes. Emerald, v. 32, n. 41732, n. 460, n. 477, 2003.
Rights: Fechado
Identifier DOI: 10.1108/03684920310463876
Address: https://www.emerald.com/insight/content/doi/10.1108/03684920310463876/
Date Issue: 2003
Appears in Collections:IMECC - Artigos e Outros Documentos

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