• DocumentCode
    401691
  • Title

    A CBR model for knowledge sharing in supply chain based on generalized rough set

  • Author

    Man, Jiang-Hong ; Da, Qing-Li

  • Author_Institution
    Sch. of Econ. Manage., Southeast Univ., Nanjing, China
  • Volume
    3
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    1538
  • Abstract
    Simple information sharing is inadequate for the supply chain management today. In this article we put forward a R5 model for knowledge sharing instead of information sharing in supply chain, which combine the CBR´s characteristic that can make best use of information on hand with the RS´s strong function in data mining, thereby set up a sharable knowledge base among the supply chain to elevate the finally product (including service)´s competence.
  • Keywords
    case-based reasoning; data mining; rough set theory; supply chain management; case-based reasoning; data mining; generalized rough set; knowledge sharing; supply chain management; Data mining; Databases; Fuzzy neural networks; Fuzzy sets; Large-scale systems; Learning systems; Neural networks; Supply chain management; Supply chains; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259739
  • Filename
    1259739
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=401691