Resilient heuristic aggregation of judgments in the pairwise
comparisons method

J 2024

Resilient heuristic aggregation of judgments in the pairwise comparisons method

KULAKOWSKI, Konrad, Jacek SZYBOWSKI, Jiří MAZUREK a Sebastian ERNST

Základní údaje

Originální název

Resilient heuristic aggregation of judgments in the pairwise comparisons method

Autoři

KULAKOWSKI, Konrad (616 Polsko), Jacek SZYBOWSKI (616 Polsko), Jiří MAZUREK (203 Česká republika, garant, domácí) a Sebastian ERNST (616 Polsko)

Vydání

Information Sciences, 2024, 0020-0255

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

DOI

http://dx.doi.org/10.1016/j.ins.2023.119979

UT WoS

111111111111111

Klíčová slova anglicky

Pairwise comparisons; Manipulation; Group decision making; Pairwise comparisons matrix; Analytic hierarchy process

Návaznosti

GA21-03085S, projekt VaV.

Změněno: 23. 10. 2024 10:58, doc. Mgr. Jiří Mazurek, Ph.D.

Anotace

V originále

In decision-making methods, it is common to assume that the experts are honest and professional. However, this is not the case when one or more experts in the pairwise-based group decisionmaking framework, such as the group analytic hierarchy process, try to manipulate results in their favor. This paper aims to introduce two heuristics enabling detection of manipulators and minimizing their effect on the group consensus by diminishing their weights. The first heuristic is based on the assumption that manipulators will provide judgments that can be considered outliers with respect to those of the other experts in the group. The second heuristic assumes that dishonest judgments are less consistent than the average consistency of the group. Both approaches are illustrated with numerical examples and simulations

Citovat

KULAKOWSKI, Konrad, Jacek SZYBOWSKI, Jiří MAZUREK a Sebastian ERNST. Resilient heuristic aggregation of judgments in the pairwise comparisons method. Information Sciences. 2024, roč. 57, neuvedeno, s. 1-20. ISSN 0020-0255. Dostupné z: https://dx.doi.org/10.1016/j.ins.2023.119979.

@article{80524,
   author = {Kulakowski, Konrad and Szybowski, Jacek and Mazurek, Jiří and Ernst, Sebastian},
   article_number = {neuvedeno},
   doi = {http://dx.doi.org/10.1016/j.ins.2023.119979},
   keywords = {Pairwise comparisons; Manipulation; Group decision making; Pairwise comparisons matrix; Analytic hierarchy process},
   language = {eng},
   issn = {0020-0255},
   journal = {Information Sciences},
   title = {Resilient heuristic aggregation of judgments in the pairwise comparisons method},
   url = {https://doi.org/10.1016/j.ins.2023.119979},
   volume = {57},
   year = {2024}
}

TY  - JOUR
ID  - 80524
AU  - Kulakowski, Konrad - Szybowski, Jacek - Mazurek, Jiří - Ernst, Sebastian
PY  - 2024
TI  - Resilient heuristic aggregation of judgments in the pairwise comparisons method
JF  - Information Sciences
VL  - 57
IS  - neuvedeno
SP  - 1-20
EP  - 1-20
SN  - 00200255
KW  - Pairwise comparisons
KW  - Manipulation
KW  - Group decision making
KW  - Pairwise comparisons matrix
KW  - Analytic hierarchy process
UR  - https://doi.org/10.1016/j.ins.2023.119979
N2  - In decision-making methods, it is common to assume that the experts are honest and professional. However, this is not the case when one or more experts in the pairwise-based group decisionmaking framework, such as the group analytic hierarchy process, try to manipulate results in their favor. This paper aims to introduce two heuristics enabling detection of manipulators and minimizing their effect on the group consensus by diminishing their weights. The first heuristic is based on the assumption that manipulators will provide judgments that can be considered outliers with respect to those of the other experts in the group. The second heuristic assumes that dishonest judgments are less consistent than the average consistency of the group. Both approaches are illustrated with numerical examples and simulations
ER  -

KULAKOWSKI, Konrad, Jacek SZYBOWSKI, Jiří MAZUREK a Sebastian ERNST. Resilient heuristic aggregation of judgments in the pairwise comparisons method. \textit{Information Sciences}. 2024, roč.~57, neuvedeno, s.~1-20. ISSN~0020-0255. Dostupné z: https://dx.doi.org/10.1016/j.ins.2023.119979.

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