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Applying principal component analysis and grey relation analysis to analyze the influence factors of quality and safety of dairy products in China

机译:应用主成分分析和灰色关联度分析法分析中国乳制品质量安全的影响因素

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This paper tries to obtain the main factors influencing quality and safety of dairy products by using grey relation analysis model. We select 11 sub factors from four fields and confirm the system behavior character by applying principal component analysis. Finally, we find cow's milk yields, proportion of urban population, qualified rate of veterinary drug, qualified feed rate and the proportion of the population with College degree or above are the main factors influencing the quality and safety of dairy products. In light of the results, the paper concludes with some suggestions for local government to improve the quality and safety of dairy products.
机译:本文试图通过灰色关联分析模型获得影响乳制品质量安全的主要因素。我们从四个领域中选择11个子因素,并通过应用主成分分析来确认系统行为特征。最后,我们发现牛奶产量,城市人口比例,兽药合格率,合格饲料率以及具有大专以上学历的人口比例是影响乳制品质量和安全性的主要因素。根据结果​​,本文对地方政府改善乳制品的质量和安全性提出了一些建议。

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