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Can a linear value function explain choices? An experimental study

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  • Korhonen, Pekka J.
  • Silvennoinen, Kari
  • Wallenius, Jyrki
  • Öörni, Anssi

Abstract

We investigate in a simple bi-criteria experimental study, whether subjects are consistent with a linear value function while making binary choices. Many inconsistencies appeared in our experiment. However, the impact of inconsistencies on the linearity vs. non-linearity of the value function was minor. Moreover, a linear value function seems to predict choices for bi-criteria problems quite well. This ability to predict is independent of whether the value function is diagnosed linear or not. Inconsistencies in responses did not necessarily change the original diagnosis of the form of the value function. Our findings have implications for the design and development of decision support tools for Multiple Criteria Decision Making problems.

Suggested Citation

  • Korhonen, Pekka J. & Silvennoinen, Kari & Wallenius, Jyrki & Öörni, Anssi, 2012. "Can a linear value function explain choices? An experimental study," European Journal of Operational Research, Elsevier, vol. 219(2), pages 360-367.
  • Handle: RePEc:eee:ejores:v:219:y:2012:i:2:p:360-367
    DOI: 10.1016/j.ejor.2011.12.040
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    References listed on IDEAS

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    Cited by:

    1. Pereira, Miguel Alves & Figueira, José Rui & Marques, Rui Cunha, 2020. "Using a Choquet integral-based approach for incorporating decision-maker’s preference judgments in a Data Envelopment Analysis model," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1016-1030.
    2. Pham, Long & Teich, Jeffrey & Wallenius, Hannele & Wallenius, Jyrki, 2015. "Multi-attribute online reverse auctions: Recent research trends," European Journal of Operational Research, Elsevier, vol. 242(1), pages 1-9.
    3. Beccacece, Francesca & Borgonovo, Emanuele & Buzzard, Greg & Cillo, Alessandra & Zionts, Stanley, 2015. "Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions," European Journal of Operational Research, Elsevier, vol. 246(2), pages 517-527.
    4. Deparis, Stéphane & Mousseau, Vincent & Öztürk, Meltem & Huron, Caroline, 2015. "The effect of bi-criteria conflict on matching-elicited preferences," European Journal of Operational Research, Elsevier, vol. 242(3), pages 951-959.
    5. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    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.
    7. Pajala, Tommi & Korhonen, Pekka & Wallenius, Jyrki, 2017. "Road to robust prediction of choices in deterministic MCDM," European Journal of Operational Research, Elsevier, vol. 259(1), pages 229-235.

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