基于组合插值的GM(1,1)模型预测方法的改进与应用

Abstract

Abstract: In this paper, we analyze the background value calculation in GM(1,1) model, put forward the idea of combination interpolation and construct a new class of gray prediction model which used piecewise linear interpolation function and Newton interpolation method. This model could overcome the lack of existed improved gray model and give a new way to improve the prediction accuracy. The simulation example using the improvement method is presented to demonstrate the effectiveness of our approach.

Key words: grey system, combinative interpolation, background value, CIGM(1,1) model

CLC Number:

N941.5

WANG Xiao-jia, YANG Shan-lin. The Improvements and Applications of Forecasting Method in GM(1,1) Model Based on Combinative Interpolation[J]. Chinese Journal of Management Science, 2012, (2): 129-134.

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The Improvements and Applications of Forecasting Method in GM(1,1) Model Based on Combinative Interpolation

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