• DocumentCode
    2911145
  • Title

    Research on Supplier Selection Based on Fuzzy Sets Group Decision

  • Author

    Guozheng Zhang

  • Author_Institution
    Postdoctoral Res. Station of Manage. Sci. & Eng., Central South Univ., Changsha, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    529
  • Lastpage
    531
  • Abstract
    In practice, in purchasing decision-making, many quantitative and qualitative factors, with vagueness and imprecision, have to be considered. This makes the decision process very complicated and unstructured. Fuzzy sets theory is one of the methods used to deal with uncertain information. In this paper, a new approach based on fuzzy sets group decision is proposed to deal with the supplier selection problem in supply chain systems. The work procedure is shown briefly, as follows: First, linguistic values are used to assess the ratings and weights for quantitative or qualitative factors. Second, degree of similarity and probability of fuzzy sets are used to determine the ranking order of all alternatives. Finally, a numerical example of the selection problem of suppliers is shown, to highlight the procedure of the proposed approach, at the end of this paper.
  • Keywords
    decision making; fuzzy set theory; game theory; supply chain management; fuzzy sets group decision; fuzzy sets probability; fuzzy sets theory; purchasing decision-making; supplier selection problem; supply chain systems; uncertain information; Companies; Computational intelligence; Costs; Decision making; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Quality management; Supply chains; Fuzzy Set; Group Decision; Supplier Selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.278
  • Filename
    5369067