Modeling GM(1,1) based New Information Principle

摘要：

Based on the priority principle of new information in grey system theory, the classicial GM(1,1) model is improved in this paper in which both the nth component and the n-fth component are considered priority, respectively.The nth component is more prior than the n-1 th component, and similarly, the 2th component is more prior than the 7th component, so new information priority principle grey model (NIGM( 1,1)) is established.The new method displays the law of white exponential law and the characteristics of monotonic increment consistency.Then two examples are given to illustrate that the new method can improve the forecast accuracy, the accumulation of NIGM(1,1) does not change the smooth degree of the raw data, and the accumulation of NIGM(1,1) pay more attention to the new information.

关键词： Grey system New information principle GM(1,1) continuous smooth degree smooth ratios smooth degree

作者: WU Lifeng LIU Sifeng

作者单位: College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing,China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 324-329

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）