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
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