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Euclidean Best–Worst Method and Its Application

Author

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  • Huseyin Kocak

    (Quantitative Methods Division, Department of Business, Administration, Pamukkale University, 20160 Denizli, Turkey)

  • Atalay Caglar

    (#x2020;Operations Research Division, Department of Econometrics, Pamukkale University, 20160 Denizli, Turkey)

  • Gulin Zeynep Oztas

    (Quantitative Methods Division, Department of Business, Administration, Pamukkale University, 20160 Denizli, Turkey)

Abstract

In this study, we propose Euclidean best–worst method (Euclidean BWM), which does not require any other extra calculations and analysis compared to nonlinear Chebyshev BWM. Using numerical examples, we illustrate and discuss the efficiency of the Euclidean BWM based on minimizing Euclidean norm instead of Chebyshev norm and using the consistency index matrix. Obtained results show that Euclidean BWM is an efficient tool resulting in reliable unique solutions, regardless of the number of the criteria, comparing with the linear and nonlinear model of the Chebyshev BWM. Moreover, we develop a MAPLE package “BWM” using only pairwise comparison vectors as the arguments to obtain the unique solution of a given problem by both the Euclidean BWM and linear model of Chebyshev BWM.

Suggested Citation

  • Huseyin Kocak & Atalay Caglar & Gulin Zeynep Oztas, 2018. "Euclidean Best–Worst Method and Its Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1587-1605, September.
    • Handle: RePEc:wsi:ijitdm:v:17:y:2018:i:05:n:s0219622018500323
    DOI: 10.1142/S0219622018500323
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    Cited by:

    1. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
    2. Amin Vafadarnikjoo & Madjid Tavana & Tiago Botelho & Konstantinos Chalvatzis, 2020. "A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria," Annals of Operations Research, Springer, vol. 289(2), pages 391-418, June.

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