A New Hybrid Fuzzy Multi-Criteria Decision Methodology for Prioritizing the Antivirus Mask Over COVID-19 Pandemic

Kaya S. K., Pamucar D., Aycin E.

INFORMATICA, vol.33, no.3, pp.545-572, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 33 Issue: 3
  • Publication Date: 2022
  • Doi Number: 10.15388/22-infor475
  • Journal Name: INFORMATICA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, INSPEC, zbMATH
  • Page Numbers: pp.545-572
  • Keywords: COVID-19, antivirus mask selection, multi criteria decision making, fuzzy best-worst method, RAFSI-F, BEST-WORST, PERFORMANCE EVALUATION, HESITANT FUZZY, INTEGRATED APPROACH, SELECTION, HEALTH, AHP, COMBINATION, TOPSIS
  • Kocaeli University Affiliated: Yes

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.