• DocumentCode
    2243951
  • Title

    Information Systems Risk Evaluation Based on the AHP-Fuzzy Algorithm

  • Author

    Peng, Xuning ; Dai, Feng

  • Author_Institution
    Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
  • Volume
    2
  • fYear
    2009
  • fDate
    30-31 May 2009
  • Firstpage
    178
  • Lastpage
    180
  • Abstract
    The AHP-Fuzzy assessment method is a combination which unifies the AHP method and the fuzzy mathematics. AHP can synthesize human´s subjective qualitative judgment, form the weighting of each policy- making factor, and avoid appearing the logic reasoning fault in the complex decision-making question. The fuzzy mathematics, simulating the characteristic of human in making the judgment, is good at processing the uppercase, the ambiguous information. Therefore, AHP-Fuzzy, unifying AHP and the fuzzy assessment method, can unify both merits, and make decision-making more scientific. Through the introduction of AHP, the combination of fuzzy comprehensive evaluation from a combination of qualitative and quantitative point of view for the establishment of an integrated information system risk assessment model.
  • Keywords
    decision making; decision theory; fuzzy set theory; information systems; risk management; AHP-fuzzy algorithm; complex decision-making question; fuzzy assessment method; fuzzy comprehensive evaluation; human subjective qualitative judgment; information system risk evaluation; logic reasoning; policy- making factor; Decision making; Electronic mail; Fuzzy systems; Information analysis; Information science; Information security; Information systems; Mathematics; Risk analysis; Risk management; Analytic Hierarchy Process; Fuzzy comprehensive evaluation; Information Systems Risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society, 2009. ICNDS '09. International Conference on
  • Conference_Location
    Guiyang, Guizhou
  • Print_ISBN
    978-0-7695-3635-4
  • Type

    conf

  • DOI
    10.1109/ICNDS.2009.124
  • Filename
    5116713