• DocumentCode
    2826016
  • Title

    Supplier Identification Based on Rough Sets and BP Neural Network

  • Author

    Shi, Cheng-dong ; Bian, Dun-xin

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to identify suppliers and select appropriate suppliers, a supplier identification model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network. In the model, supplier performance decision table was designed, the heuristic attribute reduction algorithm based on discernable matrix was put forward, and the reduction of evaluation indicator system was finished. On this basis, BP algorithm was designed and BP intelligent neural network was established. Thereafter, the application of the model for the supplier identification was demonstrated through an illustrative example, the appropriate supplier is selected. Thus, the supplier identification model based on rough sets and BP neural network is feasible.
  • Keywords
    backpropagation; decision tables; matrix algebra; neural nets; rough set theory; supply chain management; BP neural network; discernable matrix; evaluation indicator system; heuristic attribute reduction; rough sets; supplier identification model; supplier performance decision table; Algorithm design and analysis; Appropriate technology; Consumer electronics; Data acquisition; Feedforward neural networks; Intelligent networks; Multi-layer neural network; Neural networks; Rough sets; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363855
  • Filename
    5363855