2012
DOI: 10.1590/s1413-41522012000400002
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Ecosystem approach and the Fuzzy logic: a dialectical proposal for information on Environmental Health

Abstract: The ever-growing production and the problematization of Environmental Health have shown the need to apprehend complex realities and deal with uncertainties from the most diversified instruments which may even incorporate local aspects and subjectivities by means of qualitative realities, while broadening the capacity of the information system. This paper presents a view on the reflection upon some challenges and possible convergences between the ecosystemic approach and the Fuzzy logic in the process of dealin… Show more

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Cited by 10 publications
(3 citation statements)
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References 26 publications
(12 reference statements)
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“…Constructed on the basis of expert consultation and expertise, the FIS simulates human reasoning to support decisions based on a given condition 23,24 , such as diagnoses and monitoring in the health area 25,26,27,28,29,30,31 . Construction of the FIS thus involves four principal stages: fuzzification, construction of the rules set, inference, and defuzzification 32 .…”
Section: Development Of the Modelmentioning
confidence: 99%
“…Constructed on the basis of expert consultation and expertise, the FIS simulates human reasoning to support decisions based on a given condition 23,24 , such as diagnoses and monitoring in the health area 25,26,27,28,29,30,31 . Construction of the FIS thus involves four principal stages: fuzzification, construction of the rules set, inference, and defuzzification 32 .…”
Section: Development Of the Modelmentioning
confidence: 99%
“…As an alternative strategy, fuzzy modeling provides a logical approach able to deal with uncertainty and match different measures, using linguistic values to simulate human reasoning (Bressane et al, 2016;Liu and Zhou, 2012;Canavese et al, 2012;Janssen et al, 2010;Warmink et al, 2010;Liu et al, 2010;Lermontov et al, 2009;Ascough et al, 2008;Zadeh, 2008;Icaga, 2007;Onkal-Engin et al, 2004;Adriaenssens et al, 2004;Silvert, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…In a review of the literature on research using the fuzzy approach, Canavese et al (2012) highlighted its ability to incorporate the knowledge and judgment of experts, and thus to provide support for the decision-making process. Exploring the ability to model human reasoning, Bressane et al (2016) also used the fuzzy approach to include the population's perception in assessment of the impact of noise pollution on health.…”
Section: Introductionmentioning
confidence: 99%