Journals / Sakarya University Journal of Science / 2021 / Cilt: 25 Sayı: 4

Antivirus Mask Selection Under Spherical Fuzzy Information

Pages
1037–1048
Publication Date
2021-08-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, the best antivirus mask is determined for public use and we present the advantages of the proposed method in results section.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Many individuals are facing antivirus mask scarcity with the exponential spread of COVID-19.
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Key Findings & Data:For this purpose, we determine 4 different alternatives and 4 criteria.
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Conclusion & Impact:Finally, the best antivirus mask is determined for public use and we present the advantages of the proposed method in results section.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Mask selection · spherical fuzzy sets · spherical AHP

Abstract

Many individuals are facing antivirus mask scarcity with the exponential spread of COVID-19. A functional antivirus mask needs to be selected and made usable for everyone. Selection mask problem contains qualitative criteria, therefore utilizing fuzzy logic for this problem is a useful approach. To optimize the efficiency of choosing antivirus masks, we propose to use one of the new types of ordinary fuzzy sets, named Spherical fuzzy sets. For this purpose, we determine 4 different alternatives and 4 criteria. Then, we gather the data under spherical information and applied the Spherical fuzzy AHP method to the problem. Then, we propose an entropy based Spherical fuzzy AHP method. We compare the results of Spherical fuzzy AHP method, and an entropy based Spherical fuzzy AHP method. Moreover, we present a sensitivity analysis to demonstrate how our model is sensitive to changes in weights of criteria. Finally, the best antivirus mask is determined for public use and we present the advantages of the proposed method in results section.

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Cite This Article

AYDIN, S., KÖKSALMIŞ, E. (2021). Antivirus Mask Selection Under Spherical Fuzzy Information. Sakarya University Journal of Science, Cilt: 25 Sayı: 4, 1037–1048. https://ajindex.com/articles/941785

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