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A note on using centroid weights in additive Multi-Criteria Decision Analysis

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In this short communication, the authors challenge the comparison experiments made by several authors regarding the performances of surrogate weights frequently used in additive multicriteria decision analysis. Statistical tests compare the rankings obtained, either with random ‘true weights’ from a given weight simplex, or with the considered surrogate techniques. It is shown that the performance ranking of the surrogate techniques entirely depends on the way the weight simplex is defined. As an example, the rank-order-centroid weights, often found in this way to be the most performant ones, are only first-ranked when a point-allocation elicitation approach is adopted.
Original languageEnglish
Pages (from-to)391-393
JournalEuropean Journal of Operational Research
Volume277
Issue number1
Early online date15 Feb 2019
DOIs
Publication statusPublished - 16 Aug 2019

Documents

  • ISHIZAKA_2019_cright_EJOR_Short Communication - A note on using centroid weights in additive Multi-Criteria Decision Analysis

    Accepted author manuscript (Post-print), 767 KB, PDF document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 15/02/21

    Licence: CC BY-NC-ND

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