The Prediction Research on Ports of Coasts Based on Grey Theory in Fangcheng Port

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This paper use grey theory to establish prediction model to forecast the volume of ports of coasts in Fangcheng Port in Guangxi. Since the access to statistical data of ports of coasts in Fangcheng Port in Guangxi, it is difficult to forecast using traditional method. Through establish the GM(1,1) model , this paper gives the predation on ports of coasts in Fangcheng Port in Guangxi, The predicted results show that the throughput growth faster in the next few years, and will achieve Historical breakthrough in 2014.

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610-614

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February 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Liu si-feng, guo tian-bang, dang yao-guo ect, The theory of grey system and its application (second edition), [M]. Beijing: Science Press, (1999).

Google Scholar

[2] Zhang rui, gao huanwen, Based on the grey GM (1, 1) model of agricultural mechanization levels predicted, [J] Transactions Of The Chinese Society Of Agricultural Machinery, 2009,40(2): 91-95.

Google Scholar

[3] Tian yi-jun, zhu fengfeng. Clerk Maxwell, Based on the GM (1, 1) model and gray relational combined forecasting methods, [J]Science Technology and Engineering , 2009, 9(4): 842-844, 851.

Google Scholar

[4] China Statistics Press Editorial Board. China Statistical Yearbook, 2008, China Statistics Press.

Google Scholar

[5] China Stat ist ics Press Editorial Board. China Stat ist ical Yearbook, 2009, China Stat istics Press.

Google Scholar

[6] Deng ju-long. Grey Prediction and Decision[M],. wuhan: huangzhong Science and Technology University Publishuing House, (1986).

Google Scholar

[7] Liu wen-fang, The application of GM (1, 1) model in Prediction of guangxi sugar production, Journal of Guangxi University of Technology 2009, 20(2): 27-29.

Google Scholar