2016
DOI: 10.1590/1809-4430-eng.agric.v36n4p604-612/2016
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Fuzzy modeling in the prediction of climate indices and productive performance of quails kept in climate chamber

Abstract: ABSTRACT:With the demand in the production at large-scale food, confinement of animals has become a necessity of the productive process because of the increase in production capacity and optimization of the spaces reserved for creations. In this context, the aim of this study was the development and validation of models using fuzzy logic for predicting climate indices and productive performance of European quails kept in a climatic chamber. The model developed was analyzed from two points of view; the first on… Show more

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Cited by 7 publications
(5 citation statements)
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References 11 publications
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“…Similar results were found by Marques et al (2016) where, when developing a Fuzzy model to predict values of BGHI and RTL in an environment destined to confinement of quails, in the Brazilian semi-arid region, they verified R² values equal to 0.97 and 0.98, respectively. These authors also adopted, for the output variables (BGHI and RLT), intervals represented by triangulated pertinence curves, used by several authors (Ponciano et al, 2012).…”
Section: Resultssupporting
confidence: 84%
“…Similar results were found by Marques et al (2016) where, when developing a Fuzzy model to predict values of BGHI and RTL in an environment destined to confinement of quails, in the Brazilian semi-arid region, they verified R² values equal to 0.97 and 0.98, respectively. These authors also adopted, for the output variables (BGHI and RLT), intervals represented by triangulated pertinence curves, used by several authors (Ponciano et al, 2012).…”
Section: Resultssupporting
confidence: 84%
“…Fuzzy logic has been used in many areas of knowledge to assign linear and nonlinear effects of processes to the observer's acquired experience (Marques et al, 2016). He & Dong (2018) using fuzzy and neural networks obtained good predictive performance in the interaction between robot and environment.…”
Section: Resultsmentioning
confidence: 99%
“…Estudos têm demonstrado que as interações entre a idade das aves e as variáveis ambientais influenciam o desempenho produtivo, alteram o consumo de água, consumo de ração e consequentemente o ganho de peso e a conversão alimentar (MARQUES et al, 2016).…”
Section: Figuraunclassified