Skip to content
Back to outputs

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

Research output: Contribution to journalArticlepeer-review

Standard

A note on using centroid weights in additive Multi-Criteria Decision Analysis. / Kunsch, Pierre L.; Ishizaka, Alessio.

In: European Journal of Operational Research, Vol. 277, No. 1, 16.08.2019, p. 391-393.

Research output: Contribution to journalArticlepeer-review

Harvard

Kunsch, PL & Ishizaka, A 2019, 'A note on using centroid weights in additive Multi-Criteria Decision Analysis', European Journal of Operational Research, vol. 277, no. 1, pp. 391-393. https://doi.org/10.1016/j.ejor.2019.02.021

APA

Vancouver

Author

Kunsch, Pierre L. ; Ishizaka, Alessio. / A note on using centroid weights in additive Multi-Criteria Decision Analysis. In: European Journal of Operational Research. 2019 ; Vol. 277, No. 1. pp. 391-393.

Bibtex

@article{fa54bcd2a5874b4c9a206e02bec2ece8,
title = "A note on using centroid weights in additive Multi-Criteria Decision Analysis",
abstract = "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 {\textquoteleft}true weights{\textquoteright} 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.",
keywords = "Decision processes, Surrogate weights, Simplex Centroid, Comparison of performances, embargoover12",
author = "Kunsch, {Pierre L.} and Alessio Ishizaka",
note = "EMBARGO 24 MTHS",
year = "2019",
month = aug,
day = "16",
doi = "10.1016/j.ejor.2019.02.021",
language = "English",
volume = "277",
pages = "391--393",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - A note on using centroid weights in additive Multi-Criteria Decision Analysis

AU - Kunsch, Pierre L.

AU - Ishizaka, Alessio

N1 - EMBARGO 24 MTHS

PY - 2019/8/16

Y1 - 2019/8/16

N2 - 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.

AB - 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.

KW - Decision processes

KW - Surrogate weights

KW - Simplex Centroid

KW - Comparison of performances

KW - embargoover12

U2 - 10.1016/j.ejor.2019.02.021

DO - 10.1016/j.ejor.2019.02.021

M3 - Article

VL - 277

SP - 391

EP - 393

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -

ID: 13178139