A Error Inspection Method for Interval Grey Number Prediction Model based on Kernel and Interval length

摘要：

This paper aims to solve the error inspection problem of interval grey number prediction model.On the conditions of not-destroying the independence and integrity of an interval grey number, this paper discusses a novel error inspection method that employs the residual error sequences of kernel and interval length to inspect the availability of an interval grey number prediction model, as well as the detailed testing procedure is given in details.The research in this paper has an important significance to systematically study relevant research issues of interval grey number prediction models.

关键词： Grey system theory Prediction model of interval grey number Error inspection method Kernel and interval length

作者: ZENG Bo LIU Si-feng LI Jian

作者单位: College of Economics and Management,Xuchang University,Xuchang 461000,China College of Economics and College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing210016 Strategical Planning College,Chongqing Technology and Business University,Chongqing 400067,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: 322-323

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）