{"title":"基于GM模型的10年中国物流规模预测(1,1)","authors":"Yanfeng Chu, Sifeng Liu","doi":"10.1109/GSIS.2007.4443299","DOIUrl":null,"url":null,"abstract":"It is very important to predict Chinese logistics scale in 10 years for drawing up the macroscopic economic policy and promoting economic development. With the grey system model GM( 1, 1), predicting Chinese logistics scale in 10 years can reflect the development scale of logistics in the future and can offer decision base on planning a national logistics industry and making logistics policy according to the last ten years data of freight transportation quantities.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Predicting Chinese logistics scale in 10 years with model GM(1,1)\",\"authors\":\"Yanfeng Chu, Sifeng Liu\",\"doi\":\"10.1109/GSIS.2007.4443299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is very important to predict Chinese logistics scale in 10 years for drawing up the macroscopic economic policy and promoting economic development. With the grey system model GM( 1, 1), predicting Chinese logistics scale in 10 years can reflect the development scale of logistics in the future and can offer decision base on planning a national logistics industry and making logistics policy according to the last ten years data of freight transportation quantities.\",\"PeriodicalId\":445155,\"journal\":{\"name\":\"2007 IEEE International Conference on Grey Systems and Intelligent Services\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Conference on Grey Systems and Intelligent Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2007.4443299\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Grey Systems and Intelligent Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2007.4443299","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting Chinese logistics scale in 10 years with model GM(1,1)
It is very important to predict Chinese logistics scale in 10 years for drawing up the macroscopic economic policy and promoting economic development. With the grey system model GM( 1, 1), predicting Chinese logistics scale in 10 years can reflect the development scale of logistics in the future and can offer decision base on planning a national logistics industry and making logistics policy according to the last ten years data of freight transportation quantities.
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