ANALYTIC HIERARCHY PROCESS АНР UNDER INTERVAL STOCHATIC UNCERTAINTY ESTIMATES
In this article it is offered an interval stochastic analytic hierarchy process AHP, which is an extension of the deterministic AHP for decision-making under interval uncertainty. Since the global priorities of alternatives in the interval stochastic AHP are intervals, it is difficult to make the best decision. To select the best interval alternative it is introduced two additional criteria: the maximum of lower and upper bounds of global priorities intervals and the maximum of interval stability alternatives. The proposed approach is illustrated by aspecific example. Comparison with the results obtained by using interval arithmetic operations showed inconsistency last.