• DocumentCode
    3202108
  • Title

    GDAT - A collection of software tools on grey-based approaches supported by MATLAB

  • Author

    Yamaguchi, Daisuke ; Li, GuoDong ; Nagai, Masatake

  • Author_Institution
    Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama
  • fYear
    2007
  • fDate
    25-28 Nov. 2007
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    This paper presents a software package on grey-based approaches named a GDAT (grey-based data analysis toolbox). In recent years, a lot of new grey-based approaches are suggested and applied to, and then the users will demand more evolutionary tools. This package covers grey relational analysis, grey incidence analysis, the grey arithmetic operation, the grey lattice operation, whitening functions, grey structural modeling (GSM), grey classification network (GCN), the grey K-means and grey-rough approximation. These tools are developed by MATLAB with powerful scientific functions, graphic support and various kinds of data-importing support. Components of the current GDAT version and some demonstrations with screen-shots are presented in this paper. The advantages of the proposal include: the GDAT components are free of use, some script codes are on public for use and the latest grey-based models are implemented.
  • Keywords
    approximation theory; evolutionary computation; grey systems; mathematics computing; software tools; MATLAB; data-importing support; evolutionary tools; grey classification network; grey lattice operation; grey structural modeling; grey-based approaches; grey-based data analysis toolbox; grey-rough approximation; software tools; whitening functions; Arithmetic; Data analysis; GSM; Graphics; Lattices; MATLAB; Mathematical model; Packaging; Software packages; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1355-3
  • Electronic_ISBN
    978-1-4244-1356-0
  • Type

    conf

  • DOI
    10.1109/ICIAS.2007.4658393
  • Filename
    4658393