Dominance measuring methods for the selection of cleaning services in a European underground transportation company^∗

Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660 Boadilla del Monte, Spain.
antonio.jimenez@upm.es, alfonso.mateos@upm.es, juan.fdezpozo.salamanca@upm.es

Received: 11 May 2015
Accepted: 20 May 2016

Abstract

Dominance measuring methods are a recent approach for dealing with complex decision-making problems with imprecise, incomplete or partial information within multi-attribute value/utility theory. These methods compute pairwise dominance values and exploit the information included in the dominance matrix in different ways to derive measures of dominance intensity to rank the alternatives under consideration. We review dominance measuring methods proposed in the literature, describing how their possible drawbacks have been progressively overcome, and comparing their performance with other existing approaches, like surrogate weighting methods, the adaptation of classical decision rules to encompass an imprecise decision context, SMAA or Sarabando and Dias’ method. An example of the selection of cleaning services in a European underground transportation company is used to illustrate dominance measuring methods in a real complex decision-making problem.