Interval Judgements in the Analytic Hierarchy Process: A Statistical Perspective

Abstract

Two broad approaches are commonly used in the Analytic Hierarchy Process for deriving a suitable ranking of alternatives from an interval judgement matrix. In the present study these approaches are examined from a statistical perspective and are extended and developed accordingly. The ideas are introduced and illustrated by means of a simple example.