• DocumentCode
    1946605
  • Title

    Application of SVM Based on Rough Set in 3PLs Provider Selection

  • Author

    Yuan, Xiue ; Shi, Mengwei ; Meng, Fanhua

  • Author_Institution
    Bus. & Manage. Dept., North China Electr. Power Univ., Baoding
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    341
  • Lastpage
    344
  • Abstract
    In this paper, according to the characteristics of the third-party logistics (3PLs) provider selection, we put forward a new method for third-party logistics (3PL) provider selection. Based on the comprehensive evaluation index system of 3PL provider selection environment, a new evaluation model with Support vector machine (SVM) and Rough set is founded. Rough Set is introduced to reduce numbers of evaluation indicators, thus reducing the dimensions of the input space of SVM., when treating the reduced data as the input space of SVM, we find that both the convergence speed and the classify accuracy are enhanced in comparison with the traditional Support vector machine.
  • Keywords
    rough set theory; service industries; support vector machines; rough set; support vector machine; third-party logistics provider selection; Application software; Computer science; Conference management; Decision making; Kernel; Large-scale systems; Logistics; Software engineering; Support vector machine classification; Support vector machines; 3PLs; Rough Sets; SVM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1011
  • Filename
    4721757