Other formats:
BibTeX
LaTeX
RIS
@article{55145, author = {Mazurek, Jiří and Perzina, Radomír and Ramík, Jaroslav and Bartl, David}, article_number = {5}, doi = {http://dx.doi.org/10.3390/MATH9050554}, keywords = {Best–Worst Method; Eigenvalue Method; Geometric Mean Method; Monte Carlo simulations; pairwise comparisons; sensitivity}, language = {eng}, issn = {2227-7390}, journal = {Mathematics}, title = {A Numerical Comparison of the Sensitivity of the Geometric Mean Method, Eigenvalue Method, and Best–Worst Method}, url = {https://www.mdpi.com/2227-7390/9/5/554}, volume = {9}, year = {2021} }
TY - JOUR ID - 55145 AU - Mazurek, Jiří - Perzina, Radomír - Ramík, Jaroslav - Bartl, David PY - 2021 TI - A Numerical Comparison of the Sensitivity of the Geometric Mean Method, Eigenvalue Method, and Best–Worst Method JF - Mathematics VL - 9 IS - 5 SP - 1-13 EP - 1-13 PB - MDPI SN - 22277390 KW - Best–Worst Method KW - Eigenvalue Method KW - Geometric Mean Method KW - Monte Carlo simulations KW - pairwise comparisons KW - sensitivity UR - https://www.mdpi.com/2227-7390/9/5/554 N2 - In this paper, we compare three methods for deriving a priority vector in the theoretical framework of pairwise comparisons—the Geometric Mean Method (GMM), Eigenvalue Method (EVM) and Best–Worst Method (BWM)—with respect to two features: sensitivity and order violation. As the research method, we apply One-Factor-At-a-Time (OFAT) sensitivity analysis via Monte Carlo simulations; the number of compared objects ranges from 3 to 8, and the comparison scale coincides with Saaty’s fundamental scale from 1 to 9 with reciprocals. Our findings suggest that the BWM is, on average, significantly more sensitive statistically (and thus less robust) and more susceptible to order violation than the GMM and EVM for every examined matrix (vector) size, even after adjustment for the different numbers of pairwise comparisons required by each method. On the other hand, differences in sensitivity and order violation between the GMM and EMM were found to be mostly statistically insignificant. ER -
MAZUREK, Jiří, Radomír PERZINA, Jaroslav RAMÍK and David BARTL. A Numerical Comparison of the Sensitivity of the Geometric Mean Method, Eigenvalue Method, and Best–Worst Method. \textit{Mathematics}. MDPI, 2021, vol.~9, No~5, p.~1-13. ISSN~2227-7390. Available from: https://dx.doi.org/10.3390/MATH9050554.
|