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Practical tool in classification of animals for slaughter by fuzzy logic

机译:用模糊逻辑对屠宰动物进行分类的实用工具

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This paper treats of the classification of animals for slaughter, using concepts of fuzzy logic as a tool to assist in decision making. The entries (inputs) were made by measurements of body length and weight of animals. The output values corresponded to the classification as ideal weight for slaughtering. In this paper were developed three simulations involving three lambs from a group to be sent to slaughter. The two measures mentioned above were taken before slaughtering. The results were considered good, because it was possible to classify these lambs as ideal moments to slaughter.
机译:本文使用模糊逻辑的概念作为辅助决策的工具,对屠宰动物进行分类。输入(输入)是通过测量动物的体长和体重进行的。输出值对应于分类为屠宰的理想重量。在本文中,开发了三个模拟,涉及一组中的三只羔羊被送去宰杀。屠宰前已采取上述两项措施。结果被认为是不错的,因为可以将这些羔羊分类为理想的宰杀时刻。

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