Mean utility in the assurance region model

This paper addresses the problem of ranking a finite set of alternatives through a linear utility with coefficients randomly distributed. In order to model relative importance of the different criteria, assurance regions on weights are used. A closed formula for the expected utility of each alternative is obtained under uniformity assumptions, and as a consequence, different ranking methods are proposed.