The Prediction of Regional Logistics Scale Based on Grey System Theory

Tong Daxin, Sun Xu
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引用次数: 1

Abstract

It is very important to predict regional logistics scale in order to formulate macroscopic economic policy and promote economic development. In the paper, the correlation of regional logistics scale and economic evelopment is analyzed and the measuring index system is studied. Then the GM(1,1) model is set up according to grey system theory. An actual application of the logistics scale prediction in Henan province is made to illustrate the effectiveness of the model. It is proved that the prediction model is very precise and can be used as a good foundation for quantitative research on logistics industry, and the prediction can offer a reference for the decision making with regards to the program of logistics industry.
基于灰色系统理论的区域物流规模预测
区域物流规模预测对于制定宏观经济政策、促进经济发展具有十分重要的意义。本文分析了区域物流规模与经济发展的相关性,研究了区域物流规模与经济发展的度量指标体系。然后根据灰色系统理论建立GM(1,1)模型。通过对河南省物流规模预测的实际应用,验证了该模型的有效性。实践证明,该预测模型具有较高的准确性,可作为物流业定量研究的良好基础,为物流业规划决策提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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