• DocumentCode
    1945175
  • Title

    Eliciting interval probabilities via interval-valued pair-wise comparisons

  • Author

    Guo, Peijun ; Wang, Yuanbing

  • Author_Institution
    Fac. of Bus. Adm., Yokohama Nat. Univ., Yokohama, Japan
  • fYear
    2010
  • fDate
    15-16 Nov. 2010
  • Firstpage
    102
  • Lastpage
    105
  • Abstract
    In recent years, dealing with uncertainty using interval probabilities, such as combination, marginalization, condition, Bayesian inferences, is receiving considerable attention by researchers. However, how to elicit interval probabilities from subjective judgment is a basic problem for the applications of interval probabilities. In this paper, interval-valued pair-wise comparison of possible outcomes is considered to know which one is more likely to occur. Quadratic programming based model is proposed for estimating interval probabilities. Expectation and decision criteria under interval probabilities are given.
  • Keywords
    decision making; knowledge acquisition; mathematical programming; probability; quadratic programming; uncertainty handling; Bayesian inference; eliciting interval probability; interval valued pairwise comparison; marginalization; quadratic programming; Cognition; Computational modeling; Decision making; Ethics; Quadratic programming; Uncertainty; Interval probability; decision analysis; mathematical programmin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6791-4
  • Type

    conf

  • DOI
    10.1109/ISKE.2010.5680804
  • Filename
    5680804