{"title":"主成分分析在煤炭企业效益分析与评价中的应用","authors":"Bingjiang Gong, Dongyan Bai, Xiaofei Sun","doi":"10.1109/FBIE.2009.5405851","DOIUrl":null,"url":null,"abstract":"Integrating the principal components analysis with R analysis software, the article offers a solution to synthetically evaluate coal mining enterprises' economic benefits. The method can not only reflect different factors in coal's economic benefits, but also determine the degree of importance of these factors, thus saving the trouble of importance assessment by decision-makers when faced with multiple index scenario. It, as a result, provides corporate decision-makers with an effective technical means and improves the management of the coal enterprise.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of principal component analysis in coal enterprise benefit analysis and evaluation\",\"authors\":\"Bingjiang Gong, Dongyan Bai, Xiaofei Sun\",\"doi\":\"10.1109/FBIE.2009.5405851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integrating the principal components analysis with R analysis software, the article offers a solution to synthetically evaluate coal mining enterprises' economic benefits. The method can not only reflect different factors in coal's economic benefits, but also determine the degree of importance of these factors, thus saving the trouble of importance assessment by decision-makers when faced with multiple index scenario. It, as a result, provides corporate decision-makers with an effective technical means and improves the management of the coal enterprise.\",\"PeriodicalId\":333255,\"journal\":{\"name\":\"2009 International Conference on Future BioMedical Information Engineering (FBIE)\",\"volume\":\"282 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Future BioMedical Information Engineering (FBIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FBIE.2009.5405851\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FBIE.2009.5405851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of principal component analysis in coal enterprise benefit analysis and evaluation
Integrating the principal components analysis with R analysis software, the article offers a solution to synthetically evaluate coal mining enterprises' economic benefits. The method can not only reflect different factors in coal's economic benefits, but also determine the degree of importance of these factors, thus saving the trouble of importance assessment by decision-makers when faced with multiple index scenario. It, as a result, provides corporate decision-makers with an effective technical means and improves the management of the coal enterprise.