• DocumentCode
    2894407
  • Title

    Aggregation of expert opinions

  • Author

    Rantilla, A.K. ; Budescu, D.V.

  • Author_Institution
    Dept. of Psychol., Illinois Univ., Urbana, IL, USA
  • Volume
    Track1
  • fYear
    1999
  • fDate
    5-8 Jan. 1999
  • Abstract
    Summarizes research which is relevant to the basic question of how people aggregate a variety of expert opinions to generate their own judgment and make decisions. An introductory section discusses terminology and some general points in this line of research. A series of general questions are used to frame the larger literature. The first question concerns who is doing the aggregation: a normative model, an individual decision-maker or a group. The second question concerns the form of the information and the response that the decision-maker generates: binary, probabilities or a quantity estimate. The third question concerns the nature of the events that are relevant to aggregation: is the underlying uncertainty aleatory or epistemic, and is the task intellective or judgmental? The fourth question looks at characteristics of the information pattern and information sources, and includes characteristics of the experts and issues of redundancy in information. The fifth and final question reviews the combination rule being utilized. In the final section, we summarize some preliminary results from a new study by Budescu and Rantilla (1998), focusing on the determinants of confidence in aggregated expert opinions. These results are used as an illustration of the usefulness of our proposed general framework.
  • Keywords
    distributed decision making; social sciences; aleatory uncertainty; binary information; combination rule; confidence determinants; decision making; decision-maker response; epistemic uncertainty; expert characteristics; expert opinion aggregation; group; information pattern; information sources; intellective task; judgment; judgmental task; normative model; probabilities; quantity estimation; redundant information; terminology; Aggregates; Delta modulation; Economic forecasting; Educational institutions; Investments; Predictive models; Psychology; Terminology; Testing; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on
  • Conference_Location
    Maui, HI, USA
  • Print_ISBN
    0-7695-0001-3
  • Type

    conf

  • DOI
    10.1109/HICSS.1999.772751
  • Filename
    772751