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Estimate of the Weight of Japanese Quail Eggs Through Fuzzy Sets Theory

机译:模糊集理论估计日本鹌鹑蛋的重量

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Quail breeding is a viable alternative for animal production and due to its low investment, fast return of invested capital, use of small areas and creation of jobs has aroused much interest in Brazil. The aim of this study was to develop a model based on fuzzy set theory to predict the weight of eggs from Japanese quails. The proposed fuzzy model was based on data from field measurement experiments, as well as from literature referring to the influence of environment over the weight of eggs. To develop the fuzzy system, air dry-bulb temperature (t_(db), ° C) and relative air humidity (RH, %) were defined as input variables and trapezoidal and triangular membership functions were used, respectively. The absolute deviation between the values for observed egg weight and egg weight estimated by the fuzzy system, varied between 0.01 g and 0.32 g, and the average deviation was 0.14 g. The average error found was 2.33%, and the determination coefficient (R~2) was equal to 0.668. The fuzzy system developed to estimate the weight of Japanese quail eggs, based on the t_(db) and RH provided low values for absolute deviation and percentage error, allows a realistic estimate of the weight of eggs in different environmental conditions.
机译:鹌鹑养殖是动物生产,由于其在巴西的投资低,投入资金,利用小面积和创造就业机会的回报快,引起了很大的兴趣一个可行的选择。这项研究的目的是开发一种基于模糊集理论来预测日本鹌鹑蛋的重量的模型。所提出的模糊模型是基于来自场测量实验数据,以及来自文献参照环境的翻蛋的重量的影响。为了开发模糊系统,空气干球温度(T_(分贝),℃)和相对湿度(RH,%)被定义为输入变量,梯形和三角形的隶属函数分别使用。由模糊系统估计观测蛋重和蛋重值之间的绝对偏差,0.01克和0.32 g,并且平均偏差之间变化为0.14g。平均误差发现2.33%,并且决定系数(R〜2)等于0.668。模糊系统开发的估计日本鹌鹑蛋的重量,基于所述T_(分贝)和RH提供低值绝对偏差和误差百分比,允许在不同的环境条件下的蛋的重量的一个现实的估计。

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