Abstract
In this work, we propose to model Multi-Experts Multi-CriteriaDecision-Making (MEMCDM) problems using Abstract Argumentation Frameworks. We specifically design our model so as to ensure fairness and rationality in the decision-making process. For instance, when, of two expert’s decisions, one is unfair, we impose an attack between these two decisions, forcing one of the two decisions out of the argumentation network’s resulting extensions. Similarly, we specifically put irrational decisions in opposition to force one out. In doing so, we aim to enable the prediction of decisions that are themselves fair and rational. Our model is illustrated on a toy example.
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Notes
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Refer to Sect. 3.1.3 for the definition of support.
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Acknowledgements
S. Bistarelli was partially supported by MIUR-PRIN “Metodi logici per il trattamento dell’informazione”. M. Ceberio’s work was partially supported by the National Science Foundation, NSF CCF grant 0953339 and the American Association for the Advancement of Science, AAAS MIRC (agreement date 112612). F. Santini was partially supported by MIUR PRIN “Security Horizons”.
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Bistarelli, S., Ceberio, M., Henderson, J.A., Santini, F. (2018). Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multi-experts Multi-criteria Decision Making. In: Ceberio, M., Kreinovich, V. (eds) Constraint Programming and Decision Making: Theory and Applications. Studies in Systems, Decision and Control, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-61753-4_2
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