• DocumentCode
    2042322
  • Title

    A GAHP approach for probability elicitation for influence diagrams

  • Author

    Hu, Xiaoxuan ; Xie, Xianli ; Luo, He

  • Author_Institution
    Sch. of Manage., Hefei Univ. of Technol., Hefei, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2563
  • Lastpage
    2566
  • Abstract
    During the process of building influence diagrams for real-world decision analysis, the most challenging task is probability elicitation from domain experts. Many human experts are used to describing probabilities by verbal or other inexactness expressions. It is hard for them to directly provide numerical probabilities. In this paper, we deal with this issue by using the Group Analytic Hierarchy Process(GAHP), which allows a group of experts to assess probabilities by making pairwise comparisons among mutually exclusive and collectively exhaustive events. The adoption of GAHP not only offer a convenience way to make judgement, but also improve the accuracy of the probabilities by combining multiple experts´ opinions. We give the detailed steps of the elicitation process and finally use this approach to construct the influence diagram for decision making for college student recruitment.
  • Keywords
    decision diagrams; decision making; decision theory; expert systems; knowledge acquisition; matrix algebra; probability; GAHP approach; domain expert; group analytic hierarchy process; human expert; influence diagram; multiple expert opinion; numerical probability; pairwise comparison; probability elicitation; real world decision analysis; Bayesian methods; Buildings; Chromium; Decision making; Educational institutions; Random variables; Influence diagrams; group analytic hierarchy process; judgment matrix; probability elicitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569835
  • Filename
    5569835