首页 | 本学科首页   官方微博 | 高级检索  
     

灰色系统理论在我国就业人数预测中的应用
引用本文:罗明奇,王利红,马少仙. 灰色系统理论在我国就业人数预测中的应用[J]. 沈阳大学学报:自然科学版, 2010, 22(3): 108-110
作者姓名:罗明奇  王利红  马少仙
作者单位:[1]西北民族大学计算机科学与信息工程学院,甘肃兰州730030 [2]兰州交通大学数理与软件工程学院,甘肃兰州730070
摘    要:以我国1999—2006年的就业人数数据为依据,利用灰色系统理论原理,对我国就业人数的原始数据进行弱化处理,以减少冲击波对数据的影响。对弱化后的数据序列处理中引入多元统计思想,确定最终弱化的终止条件,然后以此弱化后的数据为基础建立灰色GM(1,1)微分模型dx(1)/dt-x(1)=38 164.384 6。根据灰色系统理论原理得知模型不具有很好的预测效果。探究了模型失效的缘由,提出了模型改进的建议。

关 键 词:灰色系统理论  弱化算子  就业人数  预测

Applied Research in Forecast Employment Population with Grey System Theory
LUO Mingqi,WANG Lihong,MA Shaoxian. Applied Research in Forecast Employment Population with Grey System Theory[J]. Journal of Shenyang University, 2010, 22(3): 108-110
Authors:LUO Mingqi  WANG Lihong  MA Shaoxian
Affiliation:1.Computer Science and Information Engineering College,Northwest University for Nationalities,Lanzhou 730030,China;2.School of Mathematics,Physics and Software Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
Abstract:Taking the employment population data of 1999-2006 of China as the basis,using the principle of grey system theory,the employment population's primary data is weaken down,in order to reduce the influence of the shock-wave to the data.The multivariate statistical processing is introduced to the weakened data sequence,and the termination conditions of the final weakening are determined,then the gray GM(1,1) differential model dx(1)/dt-x(1)=38 164.384 6,the is established.According to the grey system theory,the model does not have a good prediction.The reasons for failure of the model are explored;recommendations for improving the model are put forward.
Keywords:grey theory  weakening operator  employment volume  forecast
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号