How MCDM Method and the Number of Comparisons Influence the Priority Vector

Zorica Srđević1, Bojan Srđević1, Senka Ždero1 and Milica Ilić1

  1. Faculty of Agriculture, Department of Water Management
    Trg D. Obradovića 8, 21000 Novi Sad, Serbia
    zorica.srdjevic@polj.uns.ac.rs, bojans@polj.uns.ac.rs, senka.zdero@polj.uns.ac.rs, milica.ilic@polj.uns.ac.rs

Abstract

One of the most important issues in multi-criteria decision making is the number of requited judgments decision-maker/analyst has to perform. This paper presents a comparison of the results obtained by standard analytic hierarchy process (AHP), limited AHP and best-worst method (BWM) if the number of criteria is 6, 7, and 8. The examples show that BWM's results are comparable with the results if standard AHP is used, while the limited version of AHP is generally inferior to the other two methods.

Key words

analytic hierarchy process, best-worst method, criteria, comparison matrix size, number of judgments

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS210410051S

Publication information

Volume 19, Issue 1 (January 2022)
Year of Publication: 2022
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Srđević, Z., Srđević, B., Ždero, S., Ilić, M.: How MCDM Method and the Number of Comparisons Influence the Priority Vector. Computer Science and Information Systems, Vol. 19, No. 1, 251-275. (2022), https://doi.org/10.2298/CSIS210410051S