• DocumentCode
    3358584
  • Title

    Research on Grey Relation Analysis Model Based on Projection Pursuit Coupling Model

  • Author

    Wang Shuo ; Ma Xi-Jun ; Yang Shan-lin

  • Author_Institution
    Sch. of Liberal Arts & Econ., Hefei Univ. of Technol., Hefei
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    By using multi-criteria projection pursuit coupling model based on the principle of maximum entropy, multidimensional grey relation analysis values can be integrated into the projection value of single dimension which indicates the advantage of each scheme, so the schemes sample can be optimized according to the projection value of each scheme, the larger it is, the better the scheme is. In order to find out a new method for the application of the projection pursuit coupling technique in the grey relation analysis scheme optimization, real coded accelerating genetic algorithm can be used to optimize the projection pursuit coupling model, to simplify the implementation process of the projection pursuit coupling technique, and to overcome its calculation complexity and the difficulty of its programming implementation.
  • Keywords
    genetic algorithms; grey systems; maximum entropy methods; grey relation analysis model; grey relation analysis scheme optimization; maximum entropy; multi-criteria projection pursuit coupling model; multidimensional grey relation analysis; real coded accelerating genetic algorithm; Acceleration; Algorithm design and analysis; Art; Biological system modeling; Computer networks; Entropy; Genetic algorithms; Information analysis; Multidimensional systems; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918688
  • Filename
    4918688