The Grey Forecasting Modelling and Its Application

Halis Bilgil, Zafer Ozturk, Emine Ozgul
{"title":"The Grey Forecasting Modelling and Its Application","authors":"Halis Bilgil, Zafer Ozturk, Emine Ozgul","doi":"10.29002/asujse.550219","DOIUrl":null,"url":null,"abstract":"Grey theory is an effective theory that deals with systems which have imperfect data or weak information. Effective and very accurate estimates can be created for the future by utilizing a small number of data in this theory. The grey modeling method is a sub-branch of the grey systems theory and the modeling process is done by using the related differential equations. The least squares approach plays an important role on accuracy of the results. Using the GM(1,1) modeling method, which is the basis of grey prediction models with its accuracy and usefulness, the tax income to be obtained in the following years are estimated. These estimates are very useful for economic policies, especially for local governments.","PeriodicalId":7626,"journal":{"name":"Aksaray University Journal of Science and Engineering","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aksaray University Journal of Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29002/asujse.550219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Grey theory is an effective theory that deals with systems which have imperfect data or weak information. Effective and very accurate estimates can be created for the future by utilizing a small number of data in this theory. The grey modeling method is a sub-branch of the grey systems theory and the modeling process is done by using the related differential equations. The least squares approach plays an important role on accuracy of the results. Using the GM(1,1) modeling method, which is the basis of grey prediction models with its accuracy and usefulness, the tax income to be obtained in the following years are estimated. These estimates are very useful for economic policies, especially for local governments.
灰色预测模型及其应用
灰色理论是一种有效的理论,用于处理具有不完全数据或弱信息的系统。利用这一理论中的少量数据,就可以对未来做出有效而非常准确的估计。灰色建模方法是灰色系统理论的一个分支,建模过程是利用相关的微分方程来完成的。最小二乘法对结果的准确性起着重要的作用。利用灰色预测模型的基础GM(1,1)建模方法,以其准确性和实用性对今后几年的税收收入进行了估计。这些估计对经济政策非常有用,尤其是对地方政府。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信