标题：Application of improved grey prediction model for Chinese Petroleum Consumption
作者：Ma, Ying ;Sun, Meng
作者机构：[Ma, Ying ] School of Economics and Management, China Petroleum University, Dongying 266580 Shandong, China;[Sun, Meng ] School of Management, Shandon 更多
会议名称：19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering
会议日期：27 October 2012 through 29 October 2012
来源：19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering
关键词：Grey system theory; Improved GM (1,1); Petroleum consumption; Prediction
摘要：An improved Grey-based settlement predictor is promoted. Adopt Grey prediction as a forecasting means because of its fast calculation with a few of data inputs needed. However, our preliminary study shows that the general Grey model, GM (1,1) is inadequate to handle settlement prediction as its only adapt to the data with exponential law. In this paper, the prediction is improved significantly by adopting equal dimensionality information fill model aim at enhancing the prediction accuracy. The prediction is made on Chinese petroleum consumption in future. © 2013 Springer-Verlag Berlin Heidelberg.