Behaviour and physiological responses (e.g. respiratory rate and cloacal temperature) could be an indication of the thermal comfort or discomfort of broilers chicks. This study aimed to estimate the cloacal temperature (CT) of chicks in response to different intensities and durations of thermal exposure during the first week of life using a fuzzy inference system (FIS) and a fuzzy genetic algorithm (Fuzzy-GA). The experiment was conducted in four temperature-controlled wind tunnels located at the environmental laboratory of the Federal University of Lavras (UFLA; Minas Gerais, Brazil). The experimental database is composed of 114 laboratory-based observations. The duration of thermal challenge (CD; days) and dry bulb temperature (tdb; °C) were used as input variables for FIS. This paper proposes a theoretical framework for the development of Fuzzy-GA systems via two different approaches: the Mogul approach and the Pittsburgh approach. According to our results, the predicted CT values for both models (FIS and Fuzzy-GA) were similar to the experimentally-observed CT values. However, we noted that the model based on Fuzzy-GA exhibited better statistical results than the manual FIS in terms of CT-predicting capability. Thus, the model based on Fuzzy-GA can be used to predict CT for chicks exposed to thermal challenges and can therefore aid in decision-making processes.

中文翻译：

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知识发现和决策的模糊遗传方法：估计暴露于不同温度条件下的雏鸡泄殖腔温度

行为和生理反应（例如呼吸频率和泄殖腔温度）可能是肉鸡热舒适或不适的指标。本研究旨在使用模糊推理系统 (FIS) 和模糊遗传算法 (Fuzzy-GA) 估计雏鸡在出生后第一周对不同强度和持续时间的热暴露做出反应时的泄殖腔温度 (CT)。该实验在位于拉夫拉斯联邦大学（UFLA；巴西米纳斯吉拉斯州）环境实验室的四个温控风洞中进行。实验数据库由 114 个基于实验室的观察结果组成。热挑战的持续时间（CD；天）和干球温度（tdb；°C）用作 FIS 的输入变量。本文通过两种不同的方法提出了一个用于开发模糊遗传算法系统的理论框架：Mogul 方法和 Pittsburgh 方法。根据我们的结果，两种模型（FIS 和 Fuzzy-GA）的预测 CT 值与实验观察到的 CT 值相似。然而，我们注意到基于 Fuzzy-GA 的模型在 CT 预测能力方面表现出比手动 FIS 更好的统计结果。因此，基于 Fuzzy-GA 的模型可用于预测暴露于热挑战的雏鸡的 CT，从而有助于决策过程。我们注意到基于 Fuzzy-GA 的模型在 CT 预测能力方面表现出比手动 FIS 更好的统计结果。因此，基于 Fuzzy-GA 的模型可用于预测暴露于热挑战的雏鸡的 CT，从而有助于决策过程。我们注意到基于 Fuzzy-GA 的模型在 CT 预测能力方面表现出比手动 FIS 更好的统计结果。因此，基于 Fuzzy-GA 的模型可用于预测暴露于热挑战的雏鸡的 CT，从而有助于决策过程。