{"title":"应用主成分分析和灰色关联分析对中国乳制品质量安全的影响因素进行了分析","authors":"Dafang Li, Qingchun Wu","doi":"10.1109/GSIS.2017.8077670","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"107 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applying principal component analysis and grey relation analysis to analyze the influence factors of quality and safety of dairy products in China\",\"authors\":\"Dafang Li, Qingchun Wu\",\"doi\":\"10.1109/GSIS.2017.8077670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":425920,\"journal\":{\"name\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"107 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2017.8077670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2017.8077670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applying principal component analysis and grey relation analysis to analyze the influence factors of quality and safety of dairy products in China
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.