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A New Hybrid Fuzzy Multi-Criteria Decision Methodology for Prioritizing the Antivirus Mask Over COVID-19 Pandemic
Volume 33, Issue 3 (2022), pp. 545–572
Pub. online: 1 February 2022      Type: Research Article      Open accessOpen Access
Received
1 May 2021
Accepted
1 January 2022
Published
1 February 2022

Abstract

During the COVID-19 pandemic, masks have become essential items for all people to protect themselves from the virus. Because of considering multiple factors when selecting an antivirus mask, the decision-making process has become more complicated. This paper proposes an integrated approach that uses F-BWM-RAFSI methods for antivirus mask selection process with respect to the COVID-19 pandemic. Finally, sensitivity analysis was demonstrated by evaluating the effects of changing the weight coefficients of the criterion on the ranking results, simulating changes in Heronian operator parameters, and comparing the obtained solution to other MCDM approaches to ensure its robustness.

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Biographies

Kaya Sema Kayapinar
https://orcid.org/0000-0002-8575-4965
semakayapinar@munzur.edu.tr

S.K. Kaya is an assistant professor at the Department of Industrial Engineering, Munzur University, Tunceli, Turkey. She received a PhD in industrial engineering from Gazi University, Department of Industrial Engineering, in 2017. Her research interests are in the fields: logistics, Industry 4.0 in the scope of closed loop supply chain, transportation, circular economy, sustainability, optimization, quality function deployment, MCDM and fuzzy set theory.

Pamucar Dragan
https://orcid.org/0000-0001-8522-1942
dpamucar@gmail.com

D. Pamucar is an associate professor at the University of Defence in Belgrade, the Department of Logistics, Serbia. Dr. Dragan Pamucar obtained his MSc at the Faculty of Transport and Traffic Engineering in Belgrade, in 2009, and his PhD degree in applied mathematics with specialization in multi-criteria modelling and soft computing techniques at University of Defence in Belgrade, Serbia, in 2013. His research interest includes the fields of computational intelligence, multi-criteria decision making problems, neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory, with applications in a wide range of logistics problems. Dr. Pamucar has also been serving on the review board and editorial board for a number of international journals. He has published 5 books and over 200 research papers in Scopus and SCI indexed journals. According to Scopus and Stanford University, he is among the World top 2 percent of scientists as of 2020.

Aycin Ejder
https://orcid.org/0000-0002-0153-8430
ejder.aycin@kocaeli.edu.tr

E. Aycin is an associated professor in the faculty of Business and Administrative Sciences at the Kocaeli University, Turkey. He completed his PhD at Dokuz Eylul University, Turkey. His research interests lie in the areas of operation research, decision sciences and multi-criteria decision making. He has collaborated actively with researchers in several other disciplines of computer science, finance and industrial engineering.


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Keywords
COVID-19 antivirus mask selection multi criteria decision making fuzzy best-worst method RAFSI-F

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