针对虚拟物流网络物流任务调控的动态性、迅速性和及时性特点,提出了基于三支决策的虚拟物流任务动态调控模型.首先,根据物流任务的描述模型,将虚拟物流任务划分为13个小属性,建立物流任务决策信息表;其次,在已建立的物流任务决策信息表基础上,基于三支决策构造理论,提出改进的三支决策动态调控模型,建立了虚拟物流任务动态调控模型,设计实现了相关算法,给出了一种新的代价矩阵确定方法;最后通过实例说明了模型与算法的有效性和合理性.

Based on the real time and uncertainty of logistics demand ,the fusion time series autoregressive-moving average model ARMA and BP Neural network were proposed ,and the logistics demand forecasting ARMA-BP model was modelled , An ARMA-BP combined prediction algorithm for predicting freight transport was proposed .Based on the logistics transportation data of Tangshan in recent years ,using ARMA model ,BP model and ARMA-BP model ,the logistics data were predicted .The results show that the ARMA-BP model has higher precision and practical value than the traditional prediction model .