Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02909383
Contributor : Alexandre Bazin <>
Submitted on : Thursday, July 30, 2020 - 12:57:46 PM
Last modification on : Friday, July 31, 2020 - 3:42:29 AM

File

CLA_2020___MCDM.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02909383, version 1

Citation

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⟩

Share

Metrics

Record views

28

Files downloads

14