Application of Multivariable Grey Prediction


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In this paper, a multivariable analysis of grey prediction model MGM (1,n) is proposed ,which is based on single-variable gray prediction model GM (1,1). For multiple variables of a system, they influence each other and interrelate, MGM (1,n) model is description of each of the major relevant variables in the system from system point of view.Through comparison of an example of forecasting relay failure, can be obtained: multivariable grey prediction is more accurate and more close to the actual value than the single variable prediction.



Edited by:

Ran Chen




L. L. Li et al., "Application of Multivariable Grey Prediction", Applied Mechanics and Materials, Vols. 44-47, pp. 2717-2723, 2011

Online since:

December 2010




[1] Deng julong. wuhai: in: Huazhong university of science and technology press (2002), in Chinese.

[2] Huang hongjun: Shanxi building. Vol. 34(2008): pp.102-103. in Chinese.

[3] Tong mingyu, Xiao zhixiang: Journal of Huanggang normal university Vol. 25(2005), pp.9-11, 18, in Chinese.

[4] Tian guanghui, Zeng meixiang, Cheng wanqing: Ground water. Vol. 31(2009), pp.8-9, 28, in Chinese.

[5] Li zhigang, Li wenhua, Li kui and Liu guojin, China. Patent CN1419132. (2003).

[6] Zheng shuqing, Ma jingzhong, Guan jun: Journal of Hebei university(report of the science ) Vol. 26(2006), pp.350-353, in Chinese.

[7] Xiao yancai, Zhu hengjun, Chen xiuhai: Automation of Eleetrie Power Systems Vol. 30(2006), pp.64-67, in Chinese.