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Probabilistic Group Decision-Making Using BWT

In: Advances in Best-Worst Method

Author

Listed:
  • Majid Mohammadi

    (Vrije Universiteit Amsterdam)

  • Fuqi Liang

    (Zhejiang University)

  • Matteo Brunelli

    (University of Trento)

  • Jafar Rezaei

    (Delft University of Technology)

Abstract

In this study, we propose a probabilistic group decision-making method based on the Best-Worst Tradeoff method (BWT) and the Bayesian approach. BWT is a pairwise comparison method that is used to elicit the tradeoffs among a set of attributes (criteria) in a multi-criteria decision-making problem. While BWT is suitable for a single decision-maker situation, Bayesian BWT is suitable for aggregating the tradeoffs among a number of criteria coming from a number of decision-makers or experts. The proposed method aggregates the scaling constants (weights), and assigns a confidence number (between zero and one), to inform about the confidence we have about the ranking order of the criteria. We demonstrate how the method is used in a real-world setting. Data is collected from three experts on ranking a number of European seaports that are performing differently with respect to a number of relevant criteria. We think that the method has great potential in real-world group decision-making problems.

Suggested Citation

  • Majid Mohammadi & Fuqi Liang & Matteo Brunelli & Jafar Rezaei, 2023. "Probabilistic Group Decision-Making Using BWT," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, chapter 0, pages 1-13, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-40328-6_1
    DOI: 10.1007/978-3-031-40328-6_1
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