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.