Fuzzy gradual rules in epidemiology
Fuzzy gradual rules in epidemiology
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DOI：
10.1108/03684920310463876
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发表时间：
2003-01-01
期刊：
影响因子：
2.5
通讯作者：
Massad, E
中科院分区：
文献类型：
--
作者：
Ortega, N;Barros, LC;Massad, E
本文介绍了一个应用模糊渐进规则的流行研究犬狂犬病在巴西圣保罗市。利用可拓学原理建立模糊规则，建立语言流行病学模型。我们同时使用了Mamdani和Dubois等人的推理方法。结果与来自圣保罗的真实的数据进行了比较，并与另一个MISO模型进行了比较，该模型完全基于以前工作中提出的专家知识。模糊技术在流行病学中的应用问题，不同的推理方法和Dubois等人的方法进行了讨论。
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.