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How MCDM Method and the Number of Comparisons Influence the Priority Vector
Computer Science and Information Systems, Tome 19 (2022) no. 1 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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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.
Keywords: analytic hierarchy process, best-worst method, criteria, comparison matrix size, number of judgments 
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     author = {Zorica Sr{\dj}evi\'c and Bojan Sr{\dj}evi\'c and Senka \v{Z}dero and Milica Ili\'c},
     title = {How {MCDM} {Method} and the {Number} of {Comparisons} {Influence} the {Priority} {Vector}},
     journal = {Computer Science and Information Systems},
     year = {2022},
     volume = {19},
     number = {1},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2022_19_1_a13/}
}
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Zorica Srđević; Bojan Srđević; Senka Ždero; Milica Ilić. How MCDM Method and the Number of Comparisons Influence the Priority Vector. Computer Science and Information Systems, Tome 19 (2022) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2022_19_1_a13/