• DocumentCode
    478210
  • Title

    The Sample Number Selection Rules Study on Grey Forecast Model

  • Author

    Wan, Jun ; Sifeng, Liu ; Tianxiang, Yao

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • Volume
    3
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    389
  • Lastpage
    393
  • Abstract
    To establish GM(1,1) model or the discrete GM(1,1) model, how to select the proper sample should be decided first, but no satisfied rules has been put forward about the selection of the sample number. The paper makes a comparable complete study on the selection rule about sample data. It proves that the growth rates of the fitted value of the GM(1,1) model and the discrete GM(1,1) model are both fixed value. If the growth rates of the primary sequence are equal, the fitted value deriving from the discrete GM(1,1) model the same as the primary sequence. The closer the growth rates of the sample are, the smaller the average absolute error of sample data is. If the average absolute error of the growth rates is smaller enough, the sample data can be regarded as the same circle data. According to the above study, the paper puts forward the selection rules of the sample data.
  • Keywords
    forecasting theory; grey systems; GM(1,1) model; discrete GM(1,1) model; grey forecast model; sample number selection rules; Character generation; Conference management; Control systems; Demand forecasting; Economic forecasting; Educational institutions; Equations; Nonlinear control systems; Predictive models; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.839
  • Filename
    4667167