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Study Oil logistics demand prediction based on grey system

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1 Author(s)
Lu Lin ; Sch. of Bus. Adm., Guizhou Coll. of Finance & Econ., Guiyang, China

With the development of economics the demand of oil logistics has also rapidly increased, grasping the variation of oil companies' logistics demand timely and accurately has a great significance on smooth operation of the national economy. This paper takes advantage of grey model of prediction quantitatively research on the logistics demand of oil companies, the examples show that the model of prediction has a higher accuracy.

Published in:
Computer Design and Applications (ICCDA), 2010 International Conference on  (Volume:1 )

Date of Conference: 25-27 June 2010

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