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Bayesian Strategy for Group Decision Making and its Interval Generalization
Olga A. Zhukovskaya
National Technical University of Ukraine
"Igor Sikorsky Kiev Polytechnic Institute",
Leonid S. Fainzilberg
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv
An original approach to formalize the process of group decision making based on integration of private decisions of independent experts is developed. Mathematical models of collective decisions under risk conditions based on
Bayesian strategy are proposed. Using the interval analysis methods there are constructed the suboptimal models providing with a given confidence probability the average risk minimum of the group decision on a set of possible situations.
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