• DocumentCode
    1962893
  • Title

    Quality Competitiveness Index (QCI) Model Based on Experts´ Rules and ANN

  • Author

    Feng, Cai ; Jiadong, Jiang

  • Author_Institution
    Dept. of Quality Res., China Aero-Polytechnology Establ., Beijing
  • fYear
    2008
  • fDate
    23-25 May 2008
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    To further research on methods of evaluating quality competitiveness of an enterprise, a novel quality competitiveness index (QCI) model based on experts´ rules and artificial neural network (ANN) is proposed. Existing QCI model based on experts´ rules is first introduced, and its shortages are analyzed. ANN is then employed to construct the novel QCI model, and basic principles and construction approaches of the novel model are discussed in particular. A simulation example indicates that, the novel model can fit the nonlinear mapping between QCI and observed variables of quality competitiveness, and has stronger characteristics of error tolerance.
  • Keywords
    neural nets; quality management; artificial neural network; error tolerance; expert rules; quality competitiveness index model; Artificial neural networks; Buildings; Decision making; Economic indicators; Electronic mail; Information processing; Quality management; Sustainable development; Artificial Neural Network (ANN); Quality Competitiveness Index (QCI); experts´ rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ISIP), 2008 International Symposiums on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3151-9
  • Type

    conf

  • DOI
    10.1109/ISIP.2008.113
  • Filename
    4554064