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On the estimation of a satisficing model of choice using stochastic multicriteria acceptability analysis

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  • Durbach, Ian

Abstract

This paper addresses the task of estimating the kind of aspirations that are most likely to have given rise to an observed partial rank ordering of alternatives. The proposed approach uses a Tchebycheff goal programming formulation to serve as a descriptive model of choice and stochastic multicriteria acceptability analysis to generate candidate aspiration vectors and estimate the true aspiration vector from this candidate set. A simulation experiment is used to assess the accuracy of the estimated aspiration levels in a variety of problem contexts. The approach can perform well if strong performance is demanded on a small subset of the attributes and the rank order that is observed is sufficiently detailed.

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  • Durbach, Ian, 2009. "On the estimation of a satisficing model of choice using stochastic multicriteria acceptability analysis," Omega, Elsevier, vol. 37(3), pages 497-509, June.
    • Handle: RePEc:eee:jomega:v:37:y:2009:i:3:p:497-509
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    Cited by:

    1. Ciomek, Krzysztof & Kadziński, Miłosz & Tervonen, Tommi, 2017. "Heuristics for prioritizing pair-wise elicitation questions with additive multi-attribute value models," Omega, Elsevier, vol. 71(C), pages 27-45.
    2. R. Pelissari & M. C. Oliveira & S. Ben Amor & A. Kandakoglu & A. L. Helleno, 2020. "SMAA methods and their applications: a literature review and future research directions," Annals of Operations Research, Springer, vol. 293(2), pages 433-493, October.
    3. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore, 2014. "The SMAA-PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 239(2), pages 514-522.
    4. Fan, Zhi-Ping & Liu, Yang & Feng, Bo, 2010. "A method for stochastic multiple criteria decision making based on pairwise comparisons of alternatives with random evaluations," European Journal of Operational Research, Elsevier, vol. 207(2), pages 906-915, December.
    5. González-Valdés, Felipe & Ortúzar, Juan de Dios, 2018. "The Stochastic Satisficing model: A bounded rationality discrete choice model," Journal of choice modelling, Elsevier, vol. 27(C), pages 74-87.
    6. Erlend Dancke Sandorf & Danny Campbell, 2019. "Accommodating satisficing behaviour in stated choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(1), pages 133-162.
    7. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    8. Feng, Bo & Lai, Fujun, 2014. "Multi-attribute group decision making with aspirations: A case study," Omega, Elsevier, vol. 44(C), pages 136-147.
    9. Lahdelma, Risto & Salminen, Pekka, 2009. "Prospect theory and stochastic multicriteria acceptability analysis (SMAA)," Omega, Elsevier, vol. 37(5), pages 961-971, October.
    10. Menou, Abdellah & Benallou, Abdelhanine & Lahdelma, Risto & Salminen, Pekka, 2010. "Decision support for centralizing cargo at a Moroccan airport hub using stochastic multicriteria acceptability analysis," European Journal of Operational Research, Elsevier, vol. 204(3), pages 621-629, August.

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