Assessment of Group Preferences and Group Uncertainty for Decision Making

Abstract

Often groups rather than individuals function as decision makers. To use decision analysis to aid such decision makers, group preferences and opinions must be quantified as utilities and probabilities. This paper reviews the procedures by which these group utilities and probabilities can be determined, along with the relative merits of individual versus group judgments of these quantities. While group judgments are generally superior to individual judgements, no entirely satisfactory method for determining either group utilities or probabilities exists. Using ordinal preferences rather than cardinal utilities, majority rule will lead to a satisfactory group preference function in certain restricted situations. Both mathematical aggregation rules and behavioral approaches have been suggested for obtaining group probabilities. The mathematical approaches range from the simple to complex. The theoretically elegant methods, however, generally suffer in practice from the impossibility of determining some of the inputs necessary for the models. The behavioral approaches attempt to reduce disagreement by communication and interaction among the group members. The most successful methods depend on structural communication to allow the facilitation of group judgments while avoiding many of the detrimental influences that have been identified in social psychological research.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1976
Accession Number
ADA033246

Entities

People

  • David A. Seaver

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Behavioral Sciences
  • Business Administration
  • Cognition
  • Delphi Method
  • Game Theory
  • Group Dynamics
  • Human Factors Engineering
  • Information Processing
  • Judgment
  • Operations Research
  • Probability
  • Probability Distributions
  • Psychology
  • Social Psychology
  • Social Sciences
  • Systems Engineering

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  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.