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Article

Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment

by 1, 1, 2 and 1,*
1
College of Economics and Management, Beijing University of Technology, Beijing 100124, China
2
School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala Pin 147004, India
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(10), 3407; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103407
Received: 30 March 2020 / Revised: 11 May 2020 / Accepted: 12 May 2020 / Published: 13 May 2020
(This article belongs to the Section Infectious Disease Epidemiology)
With the rapid outbreak of COVID-19, most people are facing antivirus mask shortages. Therefore, it is necessary to reasonably select antivirus masks and optimize the use of them for everyone. However, the uncertainty of the effects of COVID-19 and limits of human cognition add to the difficulty for decision makers to perfectly realize the purpose. To maximize the utility of the antivirus mask, we proposed a decision support algorithm based on the novel concept of the spherical normal fuzzy (SpNoF) set. In it, firstly, we analyzed the new score and accuracy function, improved operational rules, and their properties. Then, in line with these operations, we developed the SpNoF Bonferroni mean operator and the weighted Bonferroni mean operator, some properties of which are also examined. Furthermore, we established a multi-criteria decision-making method, based on the proposed operators, with SpNoF information. Finally, a numerical example on antivirus mask selection over the COVID-19 pandemic was given to verify the practicability of the proposed method, which the sensitive and comparative analysis was based on and was conducted to demonstrate the availability and superiority of our method. View Full-Text
Keywords: COVID-19; antivirus mask selection; spherical normal fuzzy set; Bonferroni mean operator; multi-criteria decision-making COVID-19; antivirus mask selection; spherical normal fuzzy set; Bonferroni mean operator; multi-criteria decision-making
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MDPI and ACS Style

Yang, Z.; Li, X.; Garg, H.; Qi, M. Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment. Int. J. Environ. Res. Public Health 2020, 17, 3407. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103407

AMA Style

Yang Z, Li X, Garg H, Qi M. Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment. International Journal of Environmental Research and Public Health. 2020; 17(10):3407. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103407

Chicago/Turabian Style

Yang, Zaoli, Xin Li, Harish Garg, and Meng Qi. 2020. "Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment" International Journal of Environmental Research and Public Health 17, no. 10: 3407. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103407

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