• DocumentCode
    3453218
  • Title

    Improved TOPSIS Based on Rough Set theory for Selection of Suppliers

  • Author

    Lu, Jianchang ; Zhao, Zhiwei

  • Author_Institution
    Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In the supply chain management, main manufactures attach increasing importance to their partnerships´ effect. In order to select partnerships properly, certain attributes of the partnerships should be carefully analysis. Supplier selection is a multi criteria problem which multi attributions of the suppliers should be considered in SCM (Supply Chain Management). We models supplier evaluation problem as an MCDM problem and combines the technique of rough Set theory and TOPSIS (technique for order performance by similarity to idea solution). We discuss using the Rough Set theory to determine the relative weights of multiple evaluation criteria. Finally, an example is shown to highlight the procedure of the proposed method at the end it shows that the proposed model is very well suited as a decision making tool for supplier selection decisions.
  • Keywords
    rough set theory; supply chain management; rough set theory; supplier evaluation problem; supplier selection; supply chain management; Artificial intelligence; Data analysis; Decision making; Logic; Manufacturing; Pattern recognition; Resource management; Set theory; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1537
  • Filename
    4679445