Title :
A turnover volume forecasting model of huaian based on information renewal grey theory
Author :
Luo, Jianfeng ; Zhou, Lingyun
Author_Institution :
Fac. of Transp. Eng., Huaiyin Inst. of Technol., Huaian, China
Abstract :
It is important for logistics-planners to comprehensively measure the scale of logistics, but the scale is difficult to predict. A prediction method of turnover volume based on grey theory is studied. According to the deficiency of ordinary GM(1,1) model, an information renewal GM(1,1) predicting model of turnover volume is established. Moreover the model is applied to predict the turnover volume of huaian city. The result shows that the precision of the model is comparatively higher and its prediction error is comparatively less.
Keywords :
forecasting theory; grey systems; logistics; planning; Huaian city; information renewal GM(1,1) predicting model; information renewal grey theory; logistics planner; prediction method; turnover volume forecasting model; Accuracy; Computational modeling; Forecasting; Industries; Logistics; Predictive models; Solid modeling; forcast; information renewal grey theory; model; turnover volume;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964141
