J 2023

Is the best–worstmethod path dependent? Evidence from an empirical study

MAZUREK, Jiří, Radomír PERZINA, Dominik STRZALKA, Bartosz KOWAL, Barbora PETRŮ et. al.

Základní údaje

Originální název

Is the best–worstmethod path dependent? Evidence from an empirical study

Autoři

MAZUREK, Jiří (203 Česká republika, garant, domácí), Radomír PERZINA (203 Česká republika, domácí), Dominik STRZALKA (616 Polsko), Bartosz KOWAL (616 Polsko), Barbora PETRŮ (203 Česká republika), Pawel KURAS (616 Polsko) a Robert RAJS (616 Polsko)

Vydání

4OR - A Quarterly Journal of Operations Research, 2023, 1614-2411

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Kód RIV

RIV/47813059:19520/23:A0000371

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

UT WoS

001093662800001

Klíčová slova anglicky

pairwise comparisons; BWM; Best-Worst method; path dependency; scale dependency

Návaznosti

GA21-03085S, projekt VaV.
Změněno: 2. 4. 2024 08:32, Miroslava Snopková

Anotace

V originále

The Best–Worst method (BWM) is one of the latest contributions to pairwise comparisons methods. As its name suggests, it is based on pairwise comparisons of all criteria (or possibly other objects, such as alternatives, sub-criteria, etc.) with respect to the best (most important) and the worst (least important) criterion. The main aim of this study is to investigate the path and scale dependency of the BWM. Up to now, it is unknown whether the weights of compared objects obtained by the method differ when the objects are compared first with the best object, and then with the worst, or vice versa. It is also unknown if the outcomes of the method differ when compared objects are presented in a different order, or when different scales are applied. Therefore, an experiment in a laboratory setting is performed with more than 800 respondents university undergraduates from two countries in which the respondents compare areas of randomly generated figures and the relative size of objects is then estimated via the linearized version of the BWM. Last but not least, the accuracy of the BWM is examined with respect to different comparison scales, including Saaty’s nine-point linguistic scale, an integer scale from 1 to 9, and a continuous scale from 1 to infinity.