• DocumentCode
    2910769
  • Title

    Multivariate DEMR model — The formation and foundation

  • Author

    Guo, R. ; Guo, D.

  • Author_Institution
    Univ. of Cape Town, Cape Town
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    19
  • Lastpage
    25
  • Abstract
    In this paper we extend our univariate DEMR model [6] rationale into multivariate differential equation motivated regression model, abbreviated as multivariate DEMR model. This model reserved the coupling rule intrinsic to univariate DEMR model. Also, we can regard multivariate DEMR model as an extension to Deng´s [1 - 3] GM(1,N) model. However, the multivariate DEMR model has two features different from GM(1,N) model: (i) multivariate DEMR model performs an quantitative analysis but GM(1,N) performs a qualitative analysis, (ii) multivariate DEMR model is established on a rigorous mathematical foundation and thus the error structure will be facilitated by random fuzzy variable theory. Bivariate DEMR model is used as an illustration for general theory of multivariate DEMR model.
  • Keywords
    differential equations; fuzzy set theory; grey systems; random processes; regression analysis; error structure; grey model; multivariate differential equation motivated regression model; random fuzzy variable theory; univariate differential equation motivated regression model; Control theory; Hidden Markov models; Intelligent systems; Mathematical model; Performance analysis; Solids; Stochastic processes; Stochastic systems; Terminology; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443230
  • Filename
    4443230