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Experiments in multiple criteria selection problems with multiple decision makers

Author

Listed:
  • Maria Angelica Velazquez
  • David Claudio
  • A. Ravi Ravindran

Abstract

Multiple criteria selection problems deal with ranking alternatives under conflicting criteria. In the resolution of such problems, scaling methods are used to standardise the data and weighting methods are used to assign a preference to each criterion based on the decision maker's assessment. Several methods have been proposed for weighting and scaling but the most favourable combinations of methods are uncertain. This study presents the results of experiments in which data from human decision makers is used to determine the best combination of weighting-scaling methods for single and multiple decision makers using the weighted sum decision making model.

Suggested Citation

  • Maria Angelica Velazquez & David Claudio & A. Ravi Ravindran, 2010. "Experiments in multiple criteria selection problems with multiple decision makers," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 7(4), pages 413-428.
    • Handle: RePEc:ids:ijores:v:7:y:2010:i:4:p:413-428
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    Citations

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    Cited by:

    1. Behnam Malakooti, 2015. "Double Helix Value Functions, Ordinal/Cardinal Approach, Additive Utility Functions, Multiple Criteria, Decision Paradigm, Process, and Types (Z Theory I)," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1353-1400, November.
    2. Jessica Rubiano-Moreno & Samuel Nucamendi-Guillén & Alvaro Cordero-Franco & Alejandro Rodríguez-Magaña, 2022. "An improved LINMAP for multicriteria decision: designing customized incentive portfolios in an organization," Operational Research, Springer, vol. 22(4), pages 3489-3520, September.
    3. Valentina Nino & David Claudio & Christie Schiel & Brendan Bellows, 2020. "Coupling Wearable Devices and Decision Theory in the United States Emergency Department Triage Process: A Narrative Review," IJERPH, MDPI, vol. 17(24), pages 1-23, December.

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