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Explaining Multicriteria Decision Making with Formal Concept Analysis

Alexandre Bazin 1 Miguel Couceiro 2 Marie-Dominique Devignes 3 Amedeo Napoli 2
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
3 CAPSID - Computational Algorithms for Protein Structures and Interactions
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : Multicriteria decision making aims at helping a decision maker choose the best solutions among alternatives compared against multiple conflicting criteria. The reasons why an alternative is considered among the best are not always clearly explained. In this paper, we propose an approach that uses formal concept analysis and background knowledge on the criteria to explain the presence of alternatives on the Pareto front of a multicriteria decision problem.
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Contributor : Alexandre Bazin <>
Submitted on : Thursday, July 30, 2020 - 12:57:46 PM
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  • HAL Id : hal-02909383, version 1


Alexandre Bazin, Miguel Couceiro, Marie-Dominique Devignes, Amedeo Napoli. Explaining Multicriteria Decision Making with Formal Concept Analysis. Concept Lattices and Applications 2020, Jun 2020, Tallinn, Estonia. ⟨hal-02909383⟩



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