• DocumentCode
    3116135
  • Title

    The model of grey periodic incidence and their rehabilitation based on the slope

  • Author

    Du, Hongyun ; Shi, Hongxing ; Song, Chuanping ; Zhao, Yong

  • Author_Institution
    Bengbu Coll. of Automobile Manage., Bengbu
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2367
  • Lastpage
    2370
  • Abstract
    Grey incidence model determines the closeness degree from the closeness and similarity of statistical sequence´s geometrical form. Traditional grey incidence model calculates statistical sequence´s correlation degree from the perspectives of its acreage, slope, changing velocity, etc. These incidence models have dual influences exerted by horizontal and vertical coordinates. Subsequently, inference of other factors occurs when we analyze the relationship between statistical sequence´s individual factors. To overcome this defect, the author puts forward the periodic correlation model based on slope and draws the conclusion that the model is in reference to the fluctuation period and direction of the wave, but is independent of its swing, and that it can show the positive-negative relevance. The results show that this model is an effective one in some examples.
  • Keywords
    grey systems; statistical analysis; closeness degree; correlation degree; grey incidence model; grey periodic incidence; horizontal coordinates; periodic correlation model; positive-negative relevance; slope; statistical sequence; vertical coordinates; Automobiles; Decision making; Economic forecasting; Educational institutions; Fluctuations; Predictive models; Shape; Solid modeling; Statistical analysis; grey; periodic; relationship model; slope;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811647
  • Filename
    4811647