par De Smet, Yves 
;Boujelbene, Mohamed Aymen
Référence Multicriteria decision aid and artificial intelligence: theory and applications, John Wiley & Sons, page (161-187)
Publication Publié, 2013
;Boujelbene, Mohamed Aymen Référence Multicriteria decision aid and artificial intelligence: theory and applications, John Wiley & Sons, page (161-187)
Publication Publié, 2013
Partie d'ouvrage collectif
| Résumé : | Multicriteria decision aid (MCDA) is a discipline developed to help a decision maker in solving problems where several conflicting criteria should be considered. Within this field, authors generally distinguish three main problems: the choice, the ranking and the sorting. The objective of this chapter is to summarize the multicriteria methods proposed to deal with these problems and illustrate how evidence theory has been applied in the field of MCDA. Basically, imperfection in data within evidence theory is modeled using a function called the basic belief assignment (BBA). The first section introduces the basic notions of evidence theory. The second section talks about the two new concepts, the first belief dominance approach and the ranking BBAs based on belief distances (RBBD) concept. The third section reviews five multicriteria methods modeled by the evidence theory. The final section discusses the application of evidence theory in the field of MCDA. © 2013 John Wiley & Sons, Ltd. |
