主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2006, Vol. ›› Issue (6): 109-112.

Previous Articles     Next Articles

The Improvements of Forecasting Method in GM(1,1) Model Based on Quadratic Interpolation

TANG Wan-mei, XIANG Chang-he   

  1. College of Mathematics and Computer Sciences, Chongqing Normal University, Chongqing 400047, China
  • Received:2005-08-09 Revised:2006-09-25 Online:2006-12-28 Published:2012-03-07

Abstract: In this paper,we analyse the background value calculation in GM(1,1) model,and point out that the structure method of background value using the Newton-Cotes formula in is irreliable,and propose a new method to build the background value based on quadratic interpolation,at the same time,by using the least square method we imporve the initial value in the forecasting formula,and conduct a short-term prediction by the improving method.Both the analysis in theory and the simulation result show the effectiveness of the proposed approach,and give a new way to improve the prediction accuracy.

Key words: grey system, background value, quadratic interpolation, GM(1,1) model

CLC Number: