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Eliciting Multi-Criteria Preferences: ELECTRE Models

In: Elicitation

Author

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  • Luis C. Dias

    (CeBER and INESC Coimbra, University of Coimbra)

  • Vincent Mousseau

    (CentraleSupélec)

Abstract

Outranking methods are a specific type of Multi-Criteria Decision Aiding methods. They are based on the construction of binary relations validating or invalidating, for any pair of alternatives (a, b), the assertion “a outranks b”. This comparison is grounded on the evaluation vectors of both alternatives, and on additional information concerning the decision maker’s preferences, typically accounting for two conditions: concordance and non-discordance. In decision processes using these methods, the analyst should interact with the decision maker in order to elicit values for the parameters that define a preference model. This can be done either directly or through a disaggregation procedure that infers parameter values from holistic judgements provided by the decision maker. In this chapter we discuss the elicitation of an outranking-based preference model, focusing on the valued outranking relation used in the ELECTRE III and ELECTRE TRI methods.

Suggested Citation

  • Luis C. Dias & Vincent Mousseau, 2018. "Eliciting Multi-Criteria Preferences: ELECTRE Models," International Series in Operations Research & Management Science, in: Luis C. Dias & Alec Morton & John Quigley (ed.), Elicitation, chapter 0, pages 349-375, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-65052-4_14
    DOI: 10.1007/978-3-319-65052-4_14
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    Cited by:

    1. Martins, H. & Henriques, C.O. & Figueira, J.R. & Silva, C.S. & Costa, A.S., 2023. "Assessing policy interventions to stimulate the transition of electric vehicle technology in the European Union," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    2. Cinelli, Marco & Kadziński, Miłosz & Miebs, Grzegorz & Gonzalez, Michael & Słowiński, Roman, 2022. "Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system," European Journal of Operational Research, Elsevier, vol. 302(2), pages 633-651.
    3. Luis C. Dias & Humberto Rocha, 2023. "A stochastic method for exploiting outranking relations in multicriteria choice problems," Annals of Operations Research, Springer, vol. 321(1), pages 165-189, February.
    4. Paulo Cesar Schotten & Leydiana Sousa Pereira & Danielle Costa Morais, 2022. "Credit granting sorting model for financial organizations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    5. Pinho, Margarida & Costa, Ana Sara & Meneses, Marta & Manso, Joana, 2023. "A multiple criteria sorting method for supporting the maintenance management of medical ventilators: The case of Hospital da Luz Lisboa," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    6. Luis C. Dias & Gabriela D. Oliveira & Paula Sarabando, 2021. "Choice-based preference disaggregation concerning vehicle technologies," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 177-200, March.

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