• DocumentCode
    3361933
  • Title

    The New Evaluation Model of Bidder´s Competitiveness Based on RS-SVM

  • Author

    Yuan, Xiu-E ; Sun, Xiaoya

  • Author_Institution
    Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper put forward and experienced an effective evaluation method of bidder´s competitiveness based on rough set and support vector machine algorithm. The model make rough set to reduce the indexes in the comprehensive evaluation system, thus reducing the dimensions of the input space of SVM, when treating the reduced data as the input space of SVM, the convergence speed and the classify accuracy can be enhanced obviously. Evaluation model proposed in this paper is applied in real example. The result shows that it can evaluate the level of competitiveness accurately, with good evaluation efficiency.
  • Keywords
    power engineering computing; power markets; rough set theory; support vector machines; SVM; bidder competitiveness; construction market; rough set algorithm; support vector machine algorithm; Convergence; Data analysis; Energy management; Large-scale systems; Neural networks; Power system management; Power system modeling; Sun; Support vector machine classification; Support vector machines;
  • 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.2009.4918890
  • Filename
    4918890