Analytical Network Process Method Under the Belief Function Framework

Amel Ennaceur (1) , Zied Elouedi (1) , Eric Lefevre (2)

1 LARODEC - Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus
2 LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois

This paper describes a belief extension of the analytic network process (ANP), a multi-criteria prioritization method to model decision making under uncertain context. The approach accommodates the use of qualitative preference relations as input information in the pairwise comparison matrices. Instead of applying the Saaty?s scale in the prioritization process, a new method, based on the belief function theory, is applied. The proposed approach is illustrated by examples.

Domaines: Intelligence artificielle [cs.AI]

Amel Ennaceur, Zied Elouedi, Eric Lefevre. Analytical Network Process Method Under the Belief Function Framework. International Conference of the Italian Association for Artificial Intelligence, AI*IA'2018, Nov 2018, Trento, Italy. pp.553-563, ⟨10.1007/978-3-030-03840-3_41⟩. ⟨hal-03643822⟩