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

Author

Listed:
  • Zaoli Yang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Xin Li

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Harish Garg

    (School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala Pin 147004, India)

  • Meng Qi

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

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.

Suggested Citation

  • Zaoli Yang & Xin Li & Harish Garg & Meng Qi, 2020. "Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment," IJERPH, MDPI, vol. 17(10), pages 1-27, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3407-:d:357663
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    References listed on IDEAS

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    Cited by:

    1. Marc Garbey & Guillaume Joerger & Shannon Furr, 2020. "A Systems Approach to Assess Transport and Diffusion of Hazardous Airborne Particles in a Large Surgical Suite: Potential Impacts on Viral Airborne Transmission," IJERPH, MDPI, vol. 17(15), pages 1-23, July.
    2. Young-Jae Kim & Jeong-hyung Cho & Seung-Woo Kang, 2020. "Study on the Relationship between Leisure Activity Participation and Wearing a Mask among Koreans during COVID-19 Crisis: Using TPB Model," IJERPH, MDPI, vol. 17(20), pages 1-10, October.

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