• DocumentCode
    3100405
  • Title

    Multi-variable grey model and application based on synthetic integrated factors

  • Author

    Hui, Hong-qi ; Niu, Zhen-hua

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2593
  • Lastpage
    2597
  • Abstract
    Social and economic system is a multilevel and nonlinear complicated system affected by multifactors with grey characteristics. Currently existing data are short-term, incomplete or fluctuated, which makes grey forecast method attract more attention. On the basis of grey incidence, integrate the factors with the same incidence level to a factor with no magnitude. By taking incidence value as weight to normalize sequence data, set up multivariable grey model to forecast, which can solve the problem of grey factors selection. The synthetic integrated model has better precision and fitting degree. Case studies indicate that better forecast results can be obtained.
  • Keywords
    forecasting theory; grey systems; multivariable systems; nonlinear systems; economic system; grey forecast method; multivariable grey model; nonlinear complicated system; social system; synthetic integrated factor; Conference management; Cybernetics; Economic forecasting; Electronic mail; Engineering management; Machine learning; Predictive models; Stochastic processes; Stochastic systems; Technology management; Grey forecast; MGM(1, n) model; Synthetic integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212654
  • Filename
    5212654