• DocumentCode
    2842827
  • Title

    Evaluating an Intelligent Business System with a Fuzzy Multi-criteria Approach

  • Author

    Apak, Sinan ; Vayvay, Özalp

  • Author_Institution
    Yeditepe Univ., Istanbul, Turkey
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 2 2009
  • Firstpage
    391
  • Lastpage
    396
  • Abstract
    In this ever changing business structure, intelligent business system (IBS) is one of the survivals of a company, and the functions of information technology (IT) are becoming increasingly important. Evaluating the appropriate IBS for required conditions is the critical strategic decisions in formulating a business strategy. Although a number of factors were found to be influential in the choice of IBS. IBS evaluation is an inherently uncertain activity. To deal with the uncertainty in decision making, a fuzzy multi criteria decision making (FMCDM) method is adopted. This study presents an empirical approach of BIS evaluation and a real life evaluation process is presented to illustrate the effectiveness of the approach.
  • Keywords
    business data processing; decision making; fuzzy set theory; operations research; FMCDM; fuzzy multi criteria decision making; information technology; intelligent business system; real life evaluation process; Companies; Decision making; Decision theory; Fuzzy systems; Information systems; Information technology; Intelligent structures; Intelligent systems; Resource management; Uncertainty; Fuzzy AHP; Fuzzy TOPSIS; Intelligent Business Systems; MCDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4735-0
  • Electronic_ISBN
    978-0-7695-3872-3
  • Type

    conf

  • DOI
    10.1109/ISDA.2009.152
  • Filename
    5364887