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Conjoint Measurement Tools for MCDM

In: Multiple Criteria Decision Analysis

Author

Listed:
  • Denis Bouyssou

    (CNRS LAMSADE UMR 7243 and Université Paris Dauphine)

  • Marc Pirlot

    (Université de Mons)

Abstract

This paper offers a brief and nontechnical introduction to the use of conjoint measurement in multiple criteria decision making. The emphasis is on the, central, additive value function model. We outline its axiomatic foundations and present various possible assessment techniques to implement it. Some extensions of this model, e.g., nonadditive models or models tolerating intransitive preferences are then briefly reviewed. measurement,conjoint

Suggested Citation

  • Denis Bouyssou & Marc Pirlot, 2016. "Conjoint Measurement Tools for MCDM," International Series in Operations Research & Management Science, in: Salvatore Greco & Matthias Ehrgott & José Rui Figueira (ed.), Multiple Criteria Decision Analysis, edition 2, chapter 0, pages 97-151, Springer.
    • Handle: RePEc:spr:isochp:978-1-4939-3094-4_4
    DOI: 10.1007/978-1-4939-3094-4_4
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    Cited by:

    1. Grabisch, Michel & Kojadinovic, Ivan & Meyer, Patrick, 2008. "A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package," European Journal of Operational Research, Elsevier, vol. 186(2), pages 766-785, April.
    2. Fernando A. F. Ferreira & Sérgio P. Santos, 2021. "Two decades on the MACBETH approach: a bibliometric analysis," Annals of Operations Research, Springer, vol. 296(1), pages 901-925, January.
    3. Paul Alain Kaldjob Kaldjob & Brice Mayag & Denis Bouyssou, 2023. "On the interpretation of the interaction index between criteria in a Choquet integral model," Post-Print hal-03766372, HAL.
    4. Smeulders, Bart & Crama, Yves & Spieksma, Frits C.R., 2019. "Revealed preference theory: An algorithmic outlook," European Journal of Operational Research, Elsevier, vol. 272(3), pages 803-815.
    5. Figueira, José Rui & Oliveira, Henrique M. & Serro, Ana Paula & Colaço, Rogério & Froes, Filipe & Robalo Cordeiro, Carlos & Diniz, António & Guimarães, Miguel, 2023. "A multiple criteria approach for building a pandemic impact assessment composite indicator: The case of COVID-19 in Portugal," European Journal of Operational Research, Elsevier, vol. 309(2), pages 795-818.
    6. Grabisch, Michel & Labreuche, Christophe, 2018. "Monotone decomposition of 2-additive Generalized Additive Independence models," Mathematical Social Sciences, Elsevier, vol. 92(C), pages 64-73.
    7. Yang, Wu-E & Wang, Jian-Qiang, 2013. "Multi-criteria semantic dominance: A linguistic decision aiding technique based on incomplete preference information," European Journal of Operational Research, Elsevier, vol. 231(1), pages 171-181.
    8. Denis Bouyssou & Thierry Marchant & Marc Pirlot, 2023. "A theoretical look at Electre Tri-nB and related sorting models," 4OR, Springer, vol. 21(1), pages 1-31, March.
    9. Bana e Costa, Carlos A. & Carnero, María Carmen & Oliveira, Mónica Duarte, 2012. "A multi-criteria model for auditing a Predictive Maintenance Programme," European Journal of Operational Research, Elsevier, vol. 217(2), pages 381-393.
    10. Antonin Macé, 2015. "Voting with Evaluations: When Should We Sum? What Should We Sum?," AMSE Working Papers 1544, Aix-Marseille School of Economics, France, revised 29 Oct 2015.
    11. Hurson, Christian & Siskos, Yannis, 2014. "A synergy of multicriteria techniques to assess additive value models," European Journal of Operational Research, Elsevier, vol. 238(2), pages 540-551.
    12. Michel Grabisch & Christophe Labreuche, 2019. "Interpretation of multicriteria decision making models with interacting criteria," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02381243, HAL.
    13. Antonin Macé, 2017. "Voting with evaluations: characterizations of evaluative voting and range voting," Working Papers halshs-01222200, HAL.

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