Priority aggregation for AHP based on experts’ opinions

The Analytic Hierarchy Process (AHP) is widely used for evaluation of large projects. If a group of experts with different expertise is involved in an AHP decision, they need some way to aggregate their opinions. In this paper, the authors suggest a way to aggregate the experts’ priorities in a given hierarchy using the concept of the Bayesian decision analysis. A criterion that can be used for screening out unreliable data is introduced, and it is used for priority aggregation. Some numerical results are shown to illustrate the procedure. [In Korean.]