提高灰色GM(1,1)模型精度的微粒群方法

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Chinese Journal of Management Science ›› 2007, Vol. 15 ›› Issue (5): 126-129.

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Improving the Precision of GM(1,1) Model by Using Particle Swarm Optimization

ZHANG Qi-shan

School of Management, Fuzhou University, Fuzhou 350002, China

Received:2006-08-29 Revised:2007-09-11 Online:2007-10-31 Published:2007-10-31

Abstract

Abstract: Changing the linear interpolation coefficient of the background value and the boundary value in GM(1,1) model is a way to improve the precision of GM(1,1) model.For a sequence satisfying the conditions of GM(1,1) modeling,a new method of improving the precision of GM (1,l) model by using the partide swarm optimization is developed. The computation of an example shows that this method may enhance the precision of GM(1,1) model.

Key words: GM(1,1) model, background value, boundary value, particle swarm optimization

CLC Number:

F830

ZHANG Qi-shan. Improving the Precision of GM(1,1) Model by Using Particle Swarm Optimization[J]. Chinese Journal of Management Science, 2007, 15(5): 126-129.

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Improving the Precision of GM(1,1) Model by Using Particle Swarm Optimization

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