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多变量灰色模型MGM(1,n)在R&D投资预测中的应用
引用本文:王五祥,张维,崔和瑞,刘冰.多变量灰色模型MGM(1,n)在R&D投资预测中的应用[J].研究与发展管理,2006,18(2):92-96,103.
作者姓名:王五祥  张维  崔和瑞  刘冰
作者单位:[1]天津大学管理学院,天津300072 [2]河北农业大学经贸学院,保定071001 [3]天津财经大学,天津300222 [4]华北电力大学经济管理系,保定071003 [5]保定建筑设计院,保定071001
基金项目:天津市科技发展环境与保障措施研究项目(043501211-2).
摘    要:对未来R&D经费总量及其与GDP比值进行科学的预测是制定科技发展规划的重要组成部分.提出一种定量分析预测方法——利用多变量灰色MGM(1,n)模型(multi—variable grey model).研究R&D投入与GDP所形成的复杂系统变量之间的相互影响关系,对天津市相关数据资料进行实证分析与中长期预测,为政府相关部门制订科学的科技发展规划提供有益的指导作用.

关 键 词:MGM(1  n)模型  灰色系统  研究与发展  预测
文章编号:1004-8308(2006)02-0092-05
收稿时间:2005-02-14
修稿时间:2005-02-142005-09-14

Application of Grey Multi-variable Model MGM(1,n) in the R&D Investment Forecast
WANG Wu-xiang,ZHANG Wei,CUI He-rui,LIU Bing.Application of Grey Multi-variable Model MGM(1,n) in the R&D Investment Forecast[J].R&d Management,2006,18(2):92-96,103.
Authors:WANG Wu-xiang  ZHANG Wei  CUI He-rui  LIU Bing
Institution:1. School of Managernent, Tianjin University, Tianjin 300072, China; 2. College of Economics and Trade, Agriculture University of Hebei, Baoding 071001, China; 3. Tianjin University of Finance and Economics, Tianjin 300222, China; 4. Department of Economy and Management, North China Electric Power University, Baoding 071003, China; 5. Town Architecture and Design College of Baoding, Baoding 071001, China
Abstract:Scientifically forecasting R&D devotion and it's intensity in the future is the important part of formulating S&T development programme.For quite long time,the countries throughout the world mainly adopt subjective judging method based on qualitative analysis to forecast.To make the forecast more scientific and dependable,it puts forward a quantitative forecast method.MGM(1,n)(multi-variable grey model),which is an extension of the GM(1,1) model for n-variable,is introduced to solve the problem and using it to analysis the interrelation between R&D and GDP formed in a complexity system tianjin city's correlation data was analysed and long-term forecasting was made.The conclusion can offer beneficial advice to work out S&T development programming of Tianjin.
Keywords:MGM(1  n) model  grey system  R&D  forecasting
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