• Title of article

    Testing the descriptive validity of possibility theory in human judgments of uncertainty Original Research Article

  • Author/Authors

    Eric Raufaste، نويسنده , , Rui Da Silva Neves، نويسنده , , Claudette Mariné، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    22
  • From page
    197
  • To page
    218
  • Abstract
    Many works in the past showed that human judgments of uncertainty do not conform very well to probability theory. The present paper reports four experiments that were conducted in order to evaluate if human judgments of uncertainty conform better to possibility theory. At first, two experiments investigate the descriptive properties of some basic possibilistic measures. Then a new measurement apparatus is used, the Ψ-scale, to compare possibilistic vs. probabilistic disjunction and conjunction. Results strongly suggest that a human judgment is qualitative in essence, closer to a possibilistic than to a probabilistic approach of uncertainly. The paper also describes a qualitative heuristic, for conjunction, which was used by expert radiologists.
  • Keywords
    Possibility theory , Judgment , Uncertainty , Decision-making , Diagnosis
  • Journal title
    Artificial Intelligence
  • Serial Year
    2003
  • Journal title
    Artificial Intelligence
  • Record number

    1207287