Explaining Robust Additive Decision Models: Generation of Mixed Preference-Swaps by Using MILP
Résumé
In this paper, we are interested in the question of explanation in Multicriteria Decision Aiding (MCDA) in general, and the explanation of the robust additive model in particular. To this end, a previous work has laid the foundations for explaining the necessary preference relation through a sequence of preference swaps. We propose to extend this work by introducing the concept of "mixed explanation" where the computation of its components is done through the resolution of a Mixed-Integer Linear Program. With the help of several examples, we motivate the interest of such an extension and open a discussion toward several promising further questions.
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|