Title: Study of Logistics Demand Forecast based on Grey-Markov Model
Abstract: The prediction of logistics demand the decision base that the government relevant department make logistics plan and build logistics basis.A Grey Markov Model for forecasting logistics demand is presented by means of combining Greysystem theory with dispersed Markov Chains theory.First of all,according to the variable sequence,GM(1,1)model is setup to forecast the general development trend of variable asf irst fitting values,then the fitting values are revised by means of Markov state chang probability matrix for forecast as the second fitting values.Results show that the Grey Markov Model has higher accuracy than that of GM(1,1) model.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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Cited By Count: 1
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