Title: A Method of Data Processing in Grey-forecasting
Abstract: For the characteristics of strong scatterence of some testing data,if a prediction is made from grey-forecasting model (GM(1,1) ),prediction value would get a rather big error compared with the real result,so a kind of new method to simulate the test was put forward.The data was firstly processed into powerlogarithmic series so as to reduce the scatterence of data, and then the prediction was carry out by the use of grey-forecasting model. For λ could choose different value according to idiographic instance,the accumulated series obtained from testing date possessed more better agility and convergence comparing with powerlogarithmic series. Therefore, a better result of prediction could be obtained by adopting the GM(1,1) model.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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