Research of forecasting in "Poor" information system of multi-element

Zhi-jun Li, Heng Wang, Zhuguo Li, Cheng Shang, Ye Zheng
{"title":"Research of forecasting in \"Poor\" information system of multi-element","authors":"Zhi-jun Li, Heng Wang, Zhuguo Li, Cheng Shang, Ye Zheng","doi":"10.1109/FSKD.2012.6234181","DOIUrl":null,"url":null,"abstract":"The traditional gray model GM (1,1) is a kind of deviation of the exponential model, with fewer required data, forecasting of high precision and no need prior information, etc., but sometimes its forecasting is ineffective. “Poor” information systems are found everywhere. In this paper, a control approach to “poor” information systems, such as social economic systems, is proposed. Firstly, “poor” information processing and SCGM-model will be discussed. Secondly, we will develop an optimal controller of “poor” information systems. The result shows that the improved gray forecasting model SCGM-model, which is simple and practical and has higher accuracy and less error, can provide scientific theoretical basis for the relevant departments to make strategy. A demonstrating example shows the fitting and forecasting results of SCGM (1,h) are rather satisfactory","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"208 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2012.6234181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The traditional gray model GM (1,1) is a kind of deviation of the exponential model, with fewer required data, forecasting of high precision and no need prior information, etc., but sometimes its forecasting is ineffective. “Poor” information systems are found everywhere. In this paper, a control approach to “poor” information systems, such as social economic systems, is proposed. Firstly, “poor” information processing and SCGM-model will be discussed. Secondly, we will develop an optimal controller of “poor” information systems. The result shows that the improved gray forecasting model SCGM-model, which is simple and practical and has higher accuracy and less error, can provide scientific theoretical basis for the relevant departments to make strategy. A demonstrating example shows the fitting and forecasting results of SCGM (1,h) are rather satisfactory
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多要素“差”信息系统的预测研究
传统的灰色模型GM(1,1)是指数模型的一种偏差,具有所需数据少、预测精度高、不需要先验信息等特点,但有时预测效果不佳。“糟糕的”信息系统随处可见。本文提出了一种控制“差”信息系统(如社会经济系统)的方法。首先,讨论“差”信息处理和scgm模型。其次,我们将开发“差”信息系统的最优控制器。结果表明,改进后的灰色预测模型scgm -模型简单实用、精度高、误差小,可为相关部门制定对策提供科学的理论依据。算例表明,SCGM (1,h)的拟合和预测结果令人满意
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An in-pipe internal defects inspection system based on the active stereo omnidirectional vision sensor Node Localization based on Convex Optimization in Wireless Sensor Networks Invertible singleton fuzzy models: application to petroleum production control systems An algorithm for extension of clausal beliefs Computer system model in college examination
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1