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.

Highlights

  • Since the discovery of COVID-19 in Wuhan, China in December 2019, it has spread rapidly inChina

  • People’s limited knowledge and the uncertainty of the COVID-19 expansion increases the difficulty and complexity for decision-making about selecting a reasonable antivirus mask. To cope with this challenge, this paper proposed a multi-criteria decision-making (MCDM) method for selecting an antivirus mask under spherical normal fuzzy using the Bonferroni Mean operator

  • normal fuzzy number (NFN), some of the drawbacks of IFN remain in intuitionistic normal fuzzy number (INFN). To overcome this shortcoming, this paper proposes a novel concept of Spherical normal fuzzy set (SpNoFS), integrating the advantages of the spherical fuzzy set (SpFS) and NFN

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Summary

Introduction

Since the discovery of COVID-19 in Wuhan, China in December 2019, it has spread rapidly in. More than 190 countries and regions around the world have seen the infection quickly spread [1]. As a large family of viruses, coronaviruses are known to cause colds and more serious diseases such as MERS and SARS [2], among which COVID-19 is a new coronavirus strain that has never been found in humans before. Common signs of a person infected with COVID-19 include respiratory symptoms, fever, cough, shortness of breath, and dyspnea. Infection can result in pneumonia, severe acute respiratory syndrome, kidney failure, and even death [3]. As far as we know, the primary transmission route of COVID-19 is respiratory droplets and contact [4]

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