Zhukovska O. Group decision making interval models under risk condition

The dissertation is devoted to development collective decision making interval model by an independent group of experts. Such a model is based on application of a priori information about frequencies of errors made by experts when they estimate a random object state on a samples limited set. The center-radius form intervals multipli-cation analytical method is suggested. Comparison with other known approaches is car-ried out. It is shown that obtained analytical expressions allow give exact result for any valid intervals. The interval approach permits to investigate the formal conditions ena-bling to guarantee expert qualification at diagnostics of a random object states. It is proved that for practical use of the received conditions for any given confidential prob-ability the volume of experimental samples necessary for estimating experts' errors fre-quencies can be determined.