{"title":"基于GM(1,1)模型的a地区资金供需缺口分析","authors":"K. Jiang, Junlong Wu","doi":"10.1109/GSIS.2015.7301876","DOIUrl":null,"url":null,"abstract":"In real world, the prevalence of “small sample and poor information” uncertainty system determines a very wide application of the Grey System theory, in the which GM (1, 1) model is the core forecasting model, and plays a very important role. In this paper, a GM (1,1) model is applied to analyze the funds gap between supply and demand in region A. Firstly, the model is used to predict the amount of demand and supply of funds needed in region A during the “Thirteenth five” Plan. Then, corresponding countermeasures will be proposed to bridge the gap, which will be helpful to alleviate the constraints on economic development in this region caused by the shortage of funds. This will provide a new reference of funds-budget for similar underdeveloped and data deficient regions.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An analysis of gap of funds supply and demand of region a based on GM (1, 1) model\",\"authors\":\"K. Jiang, Junlong Wu\",\"doi\":\"10.1109/GSIS.2015.7301876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In real world, the prevalence of “small sample and poor information” uncertainty system determines a very wide application of the Grey System theory, in the which GM (1, 1) model is the core forecasting model, and plays a very important role. In this paper, a GM (1,1) model is applied to analyze the funds gap between supply and demand in region A. Firstly, the model is used to predict the amount of demand and supply of funds needed in region A during the “Thirteenth five” Plan. Then, corresponding countermeasures will be proposed to bridge the gap, which will be helpful to alleviate the constraints on economic development in this region caused by the shortage of funds. This will provide a new reference of funds-budget for similar underdeveloped and data deficient regions.\",\"PeriodicalId\":246110,\"journal\":{\"name\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2015.7301876\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2015.7301876","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analysis of gap of funds supply and demand of region a based on GM (1, 1) model
In real world, the prevalence of “small sample and poor information” uncertainty system determines a very wide application of the Grey System theory, in the which GM (1, 1) model is the core forecasting model, and plays a very important role. In this paper, a GM (1,1) model is applied to analyze the funds gap between supply and demand in region A. Firstly, the model is used to predict the amount of demand and supply of funds needed in region A during the “Thirteenth five” Plan. Then, corresponding countermeasures will be proposed to bridge the gap, which will be helpful to alleviate the constraints on economic development in this region caused by the shortage of funds. This will provide a new reference of funds-budget for similar underdeveloped and data deficient regions.