• DocumentCode
    2690908
  • Title

    Research on Supply Chain Performance Evaluation Based on Rough Set and SVM

  • Author

    Yuan, Xiu-e ; Shi, Meng-wei ; Song, Chun-mei

  • Author_Institution
    Bus. & Manage. Dept., North China Electr. Power Univ., Baoding, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    276
  • Lastpage
    280
  • Abstract
    For implementing supply chain management effectively, a manufacturing supply chain performance evaluation method was very important. Based on the comprehensive evaluation index system of supply chain performance evaluation, 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. Finally, a example is provided to validate the proposed method. The findings indicate that the method proposed in this paper is a useful tool for solving the supply chain performance evaluation.
  • Keywords
    rough set theory; supply chain management; support vector machines; SVM; comprehensive evaluation index system; manufacturing supply chain performance evaluation; rough set theory; support vector machines; Decision making; Electronic commerce; Energy management; Large-scale systems; Power engineering and energy; Power system management; Supply chain management; Supply chains; Support vector machine classification; Support vector machines; Rough set; SVM; Supply Chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
  • Conference_Location
    Ternopil
  • Print_ISBN
    978-0-7695-3686-6
  • Type

    conf

  • DOI
    10.1109/IEEC.2009.182
  • Filename
    5175120