Abstract
The aggregation of the expert's probability distribution is considered. As opposed to conventional approaches, in which the methods of group decision theory are used, the approach, presented in the paper is based on the probability and information theories. The expert's distributions are considered as conditional distributions. According to this approach the purpose of aggregation is to get the best possible estimation of an unknown probability distribution. In compliance with it, the optimum aggregation procedure is suggested. For the determination of this procedure the informational theoretical criteria and the methods of multiple-criteria decision making are used.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
