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Utility Function for modeling Group Multicriteria Decision Making problems as games

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  • Leoneti, Alexandre Bevilacqua

Abstract

To assist in the decision making process, several multicriteria methods have been proposed. However, the existing methods assume a single decision-maker and do not consider decision under risk, which is better addressed by Game Theory. Hence, the aim of this research is to propose a Utility Function that makes it possible to model Group Multicriteria Decision Making problems as games. The advantage of using Game Theory for solving Group Multicriteria Decision Making problems is to evaluate the conflicts between the decision makers using a strategical approach.

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  • Leoneti, Alexandre Bevilacqua, 2016. "Utility Function for modeling Group Multicriteria Decision Making problems as games," Operations Research Perspectives, Elsevier, vol. 3(C), pages 21-26.
    • Handle: RePEc:eee:oprepe:v:3:y:2016:i:c:p:21-26
    DOI: 10.1016/j.orp.2016.04.001
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    Citations

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    Cited by:

    1. Alexandre Bevilacqua Leoneti & René Bañares-Alcántara & Eduardo Cleto Pires & Sonia Valle Walter Borges Oliveira, 2022. "A Multi-Criteria and Multi-Agent Framework for supporting complex decision-making processes," Group Decision and Negotiation, Springer, vol. 31(5), pages 1025-1050, October.
    2. Dmitry Gimon & Alexandre Bevilacqua Leoneti, 2020. "A refined utility function for modeling “me” vs. “us” allocation in a sequential group decision process," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 8(1), pages 1-12, May.
    3. Leoneti, Alexandre Bevilacqua & Gomes, Luiz Flavio Autran Monteiro, 2021. "Modeling multicriteria group decision making as games from enhanced pairwise comparisons," Operations Research Perspectives, Elsevier, vol. 8(C).
    4. Cuoghi, Kaio Guilherme & Leoneti, Alexandre Bevilacqua & Passador, João Luiz, 2022. "On the choice of public or private management models in the Brazilian Unified Health System (SUS)," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Galo, Nadya Regina & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2018. "A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI," International Journal of Production Economics, Elsevier, vol. 202(C), pages 182-196.
    6. Cuoghi, Kaio Guilherme & Leoneti, Alexandre Bevilacqua, 2019. "A group MCDA method for aiding decision-making of complex problems in public sector: The case of Belo Monte Dam," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    7. A. B. Leoneti & G. A. Prataviera, 2020. "Entropy-Norm space for geometric selection of strict Nash equilibria in n-person games," Papers 2003.09225, arXiv.org.
    8. Leoneti, A.B. & Prataviera, G.A., 2020. "Entropy-norm space for geometric selection of strict Nash equilibria in n-person games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 546(C).
    9. Gomes, Luís S. & Santos, Sérgio P. & Coelho, Luís Serra & Rebelo, Efigénio L., 2023. "Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    10. Felipe Costa Araujo & Alexandre Bevilacqua Leoneti, 2020. "Evaluating the Stability of the Oil and Gas Exploration and Production Regulatory Framework in Brazil," Group Decision and Negotiation, Springer, vol. 29(1), pages 143-156, February.

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