Prediction of Air Cargo Volume Based on Grey-periodic Extensional Combinatorial Model
Aviation logistics volume changes over time is an obvious regularity.According to the characteristics of aviation logistics volume data,on the basis of common GM(1,1)model and by means of establishing residual error periodic extensional model,the paper extracts predominant period and reconstruct a new data sequence,it can well overcome the contradiction between the growth tendency and the periodic fluctuation of seasonal products sales.Applying the method,a typical simulation study was carried out to illustrate its validity.Is is found that the model can greatly increased the accuracy of aviation logistics volume predication.
Aviation logistics Grey theory Gray-periodic extensional combinatorial model
She-miao FENG
Management School,Guangzhou Civil Aviation College,Guangzhou,China
国际会议
武汉
英文
133-137
2020-01-12（万方平台首次上网日期，不代表论文的发表时间）