MA536
Multiple-Criteria Decision Analysis
0.5 Credit

This course develops the principles and techniques used to identify the best alternative in a set, based on measures of their performance according to two or more criteria. Topics include: properties of the Pareto order and dominance; dominance cones; screening; the existence, construction and properties of value functions; methods of compromise; satisficing; relation of MCDA to techniques such as Multiple-Objective Decision Analysis; extension of MCDA to stochastic criteria; the theorems of May, Arrow, and Gibbard-Satterthwaite.