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基于最优定权组合模型的物流量预测
引用本文:张春萍,殷莹. 基于最优定权组合模型的物流量预测[J]. 商品储运与养护, 2013, 0(1): 85-88,91
作者姓名:张春萍  殷莹
作者单位:大连交通大学管理学院,辽宁大连116028
摘    要:
为了实现对市场需求变动的准确估计,在经过参阅大量文献之后,采用趋势外推模型、灰色GM(1,1)模型分别进行物流量的预测,以每种方法单项预测结果组合误差平方和最小为原则,提出一种最优定权组合预测模型,以此为物流园区的合理规划做出贡献。

关 键 词:物流量预测  灰色GM(1,1)模型  最优定权

Based on the Optimal Weighting Combination Model in Logistics Volume Forecasting
ZHANG Chun- ping,YIN Ying. Based on the Optimal Weighting Combination Model in Logistics Volume Forecasting[J]. Storage Transportation & Preservation of Commodities, 2013, 0(1): 85-88,91
Authors:ZHANG Chun- ping  YIN Ying
Affiliation:(School of Management, Dalian Jiaotong University, Dalian 116028,China)
Abstract:
In order to realize the accurate estimation of the market demand changes, after a large number of documents, using trend extrapolation model,gray GM( 1,1 ) model for logistics volume prediction, the principle is to make the least sum of combined square error for each method, so it comes a kind of the optimal weight combination forecasting model, as a contribution for logistics park reasonable planning.
Keywords:logistics volume forecast  gray GM ( 1,1 ) model  optimal weighting
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