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A study on decision support system based on the fuzzy logic approach for the livestock service management

机译:基于模糊逻辑的畜牧服务管理决策支持系统研究

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In this paper, we propose a fuzzy logic approach for the decision-making system of context-based livestock control system. The fuzzy logic technique is identical to human reasoning with intermediate logical variables. So in the decision-making system, the accuracy in the selection of the control system is increased by minimising the rate of loss. To increase the productivity of the livestock, the diet and health management are the notable factors. For this, two variable age and weight are chosen as the main factor in decision-making system to identify the possibility of control management. With the age and weight as input variables, the output variables are categorised as 'Maintain Diet', 'Change Diet Schedule', 'Need Health Checkup' and 'Ready for Sale'. The evaluation was done with the MATLAB fuzzy logic toolbox.
机译:本文提出了一种基于上下文的牲畜控制系统决策系统的模糊逻辑方法。模糊逻辑技术与具有中间逻辑变量的人类推理相同。因此,在决策系统中,通过最小化损失率来提高控制系统选择的准确性。为了提高牲畜的生产力,饮食和健康管理是值得注意的因素。为此,在决策系统中选择年龄和体重这两个变量作为主要因素,以识别控制管理的可能性。以年龄和体重作为输入变量,输出变量分为“维持饮食”,“更改饮食时间表”,“需要健康检查”和“准备出售”。评估是使用MATLAB模糊逻辑工具箱进行的。

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