一种适合DGM(1,1)模型的数据处理方法

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Xinhai Kong, Zhi-bin Liu, Yong Wei
{"title":"一种适合DGM(1,1)模型的数据处理方法","authors":"Xinhai Kong, Zhi-bin Liu, Yong Wei","doi":"10.30016/JGS.201109.0003","DOIUrl":null,"url":null,"abstract":"Aiming at the discrete GM (1, 1) model (DGM (1, 1) model) can completely fit the pure exponential sequence, and according to the changing trend of the class ratio of the original sequence, this paper put forward a kind of data processing method to make the class ratio of the transformed sequence approximate the minimum or maximum class ratio of the original sequence for being better suited to construct DGM (1, 1) model. And based on the optimized DGM (1, 1) model (ODGM (1, 1) model), we construct the R-ODGM (1, 1) model and M-ODGM (1, 1) model. Examples show that this method has a good effect, and the simulation accuracy of R-ODGM (1, 1) model and M-ODGM (1, 1) model is over 98%.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"14 1","pages":"101-106"},"PeriodicalIF":1.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Kind of Data Processing Method Suited to DGM (1, 1) Model\",\"authors\":\"Xinhai Kong, Zhi-bin Liu, Yong Wei\",\"doi\":\"10.30016/JGS.201109.0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the discrete GM (1, 1) model (DGM (1, 1) model) can completely fit the pure exponential sequence, and according to the changing trend of the class ratio of the original sequence, this paper put forward a kind of data processing method to make the class ratio of the transformed sequence approximate the minimum or maximum class ratio of the original sequence for being better suited to construct DGM (1, 1) model. And based on the optimized DGM (1, 1) model (ODGM (1, 1) model), we construct the R-ODGM (1, 1) model and M-ODGM (1, 1) model. Examples show that this method has a good effect, and the simulation accuracy of R-ODGM (1, 1) model and M-ODGM (1, 1) model is over 98%.\",\"PeriodicalId\":50187,\"journal\":{\"name\":\"Journal of Grey System\",\"volume\":\"14 1\",\"pages\":\"101-106\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Grey System\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.30016/JGS.201109.0003\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.201109.0003","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

针对离散GM(1,1)模型(DGM(1,1)模型)可以完全拟合纯指数序列的特点,根据原序列类比的变化趋势,提出了一种数据处理方法,使变换后序列的类比近似于原序列的最小或最大类比,从而更适合于构造DGM(1,1)模型。并在优化后的DGM(1,1)模型(ODGM(1,1)模型)的基础上,构建了R-ODGM(1,1)模型和M-ODGM(1,1)模型。实例表明,该方法效果良好,R-ODGM(1,1)模型和M-ODGM(1,1)模型的仿真精度均在98%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Kind of Data Processing Method Suited to DGM (1, 1) Model
Aiming at the discrete GM (1, 1) model (DGM (1, 1) model) can completely fit the pure exponential sequence, and according to the changing trend of the class ratio of the original sequence, this paper put forward a kind of data processing method to make the class ratio of the transformed sequence approximate the minimum or maximum class ratio of the original sequence for being better suited to construct DGM (1, 1) model. And based on the optimized DGM (1, 1) model (ODGM (1, 1) model), we construct the R-ODGM (1, 1) model and M-ODGM (1, 1) model. Examples show that this method has a good effect, and the simulation accuracy of R-ODGM (1, 1) model and M-ODGM (1, 1) model is over 98%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
×
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