Multi-Criteria Decision Making with Existential Rules using Repair Techniques

Nikos Karanikolas 1 Madalina Croitoru 2 Pierre Bisquert 3 Christos Kaklamanis 4 Rallou Thomopoulos 2 Bruno Yun 5
1 LIG Laboratoire d'Informatique de Grenoble - IIHM
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The central problem in multi-criteria decision making is to reach an acceptable decision aggregating preferences over multiple criteria. In this paper, we explain how to benefit from the reasoning capabilities of existential rules for modelling a multi-criteria decision making problem as an inconsistent knowledge base. The repairs of this knowledge base represent the maximally consistent point of views and inference strategies can be used for decision making.
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Nikos Karanikolas, Madalina Croitoru, Pierre Bisquert, Christos Kaklamanis, Rallou Thomopoulos, et al.. Multi-Criteria Decision Making with Existential Rules using Repair Techniques. AI: Artificial Intelligence, Dec 2018, Cambridge, United Kingdom. pp.177-183, ⟨10.1007/978-3-030-04191-5_15⟩. ⟨hal-01977952⟩

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