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Quality Estimation Model of White Chestnut (Lagocephalus wheeleri) by Auctioneers

机译:拍卖行的白栗(Lagocephalus wheeleri)质量评估模型

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摘要

This research intends to improve quality control in marine products distribution, focusing on auctioneers' appearance evaluation of fresh fish done, by designing a model equivalent to this method. A total of 269 sample fish of White chestnut (Lagocephalus wheeleri) were graded into 5 classes by experienced auctioneers. By analyzing the results of auctioneers' appearance evaluation of fish and the relationship between color of fish skin and freshness of fish meat, it was found that 4 color indexes seton the surface of fish bodies reflected well the appearance evaluation and the degree of freshness of fish meat The fuzzy inference model constructed from these indexes, as antecedent-part variables, was evaluated. The model showed that results of auctioneers' appearance evaluation and those inferred from the model had an agreement of more than 96%. Therefore, the model was shown to be highly useful.
机译:这项研究旨在通过设计等效于此方法的模型,以拍卖商对新鲜鱼的外观评估为重点,以改善水产品分销的质量控制。经验丰富的拍卖师将总共269条白栗(Lagocephalus wheeleri)鱼样品分为5类。通过分析拍卖商对鱼的外观评价结果以及鱼皮颜色与鱼肉新鲜度之间的关系,发现鱼体表面设置的四个颜色指标能很好地反映鱼的外观评价和新鲜度。根据这些指标构建的模糊推理模型作为前件变量进行了评估。该模型表明,拍卖人的外观评估结果与从模型中推断出的结果具有超过96%的一致性。因此,该模型被证明是非常有用的。

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