Research on grey modeling for simulating and forecasting of stream information in finite time

摘要：

　　Traditional grey modeling based on time sequence can not simulate and forecast stream information well.This paper proposes two grey modeling methods to simulate and forecast stream information in finite time.Carrying the stream information at a given time in a matrix,the stream information can construct a matrix sequence.Grey modeling based on matrix sequence(abbreviated as MGM)is proposed there.Meanwhile,grey modeling based on vectors of function parameter(abbreviated as FVGM)is proposed to solve the problems of the size varying and information missing in stream sequence.Experiments illustrate that the two grey modeling methods can simulate and forecast stream information effectively.Specifically,the stream sequence with different sizes can be simulated and forecasted well by FVGM.

关键词： grey modeling stream information matrix sequence function parameter vector

作者: Liu Xin Dai Jin Zhou Weijie Cheng Lvpeng

作者单位: School of Software Engineering,Chongqing University of Posts and Telecommunications Chongqing 400065 College of Economics and Management,Nanjing University of Aeronautics and Astronautics Nanjing,21001 School of Communication and Information Engineering,Chongqing University of Posts and Telecommunicat

会议类型: 国内会议

会议名称: 第28届全国灰色系统学术会议

会议地点: 武汉

会议语种:英文

页码: 96-106

在线出版日期: 2016-04-22（万方平台首次上网日期，不代表论文的发表时间）