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Volume 10
Issue 19
10.3390/math10193514
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Article

Extension of Interval-Valued Fermatean Fuzzy TOPSIS for Evaluating and Benchmarking COVID-19 Vaccines

by
Galina Ilieva
* and
Tania Yankova
Department of Management and Quantitative Methods in Economics, University of Plovdiv Paisii Hilendarski, 4000 Plovdiv, Bulgaria
*
Author to whom correspondence should be addressed.
Mathematics 2022, 10(19), 3514; https://doi.org/10.3390/math10193514
Submission received: 13 July 2022 / Revised: 12 August 2022 / Accepted: 22 September 2022 / Published: 26 September 2022
(This article belongs to the Section D2: Operations Research and Fuzzy Decision Making)
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Abstract

In order to help curb the spread of the COVID-19 pandemic, this paper develops a multi-attribute decision-making framework for COVID-19 vaccine evaluation based on their major clinical characteristics and efficacy. Firstly, a new multi-criteria Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) modification has been constructed in an interval-valued Fermatean fuzzy (IVFF) environment, improving the shortcomings of traditional TOPSIS. Secondly, a new conceptual framework for static and dynamic evaluation of COVID-19 vaccines has been built. The proposed methodology incorporates a variety of crisp and fuzzy MCDM methods. The analysis of the results of two practical examples shows that the new framework for vaccine comparison is feasible and effective, and finally, some recommendations for enhancement of government anti-COVID-19 strategies are suggested.
Keywords: MCDM; interval-valued Fermatean fuzzy (IVFF) sets; distance measure; technique for order of preference by similarity to ideal solution (TOPSIS); IVFF TOPSIS; COVID-19; online public attitude; vaccination strategies MCDM; interval-valued Fermatean fuzzy (IVFF) sets; distance measure; technique for order of preference by similarity to ideal solution (TOPSIS); IVFF TOPSIS; COVID-19; online public attitude; vaccination strategies

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MDPI and ACS Style

Ilieva, G.; Yankova, T. Extension of Interval-Valued Fermatean Fuzzy TOPSIS for Evaluating and Benchmarking COVID-19 Vaccines. Mathematics 2022, 10, 3514. https://doi.org/10.3390/math10193514

AMA Style

Ilieva G, Yankova T. Extension of Interval-Valued Fermatean Fuzzy TOPSIS for Evaluating and Benchmarking COVID-19 Vaccines. Mathematics. 2022; 10(19):3514. https://doi.org/10.3390/math10193514

Chicago/Turabian Style

Ilieva, Galina, and Tania Yankova. 2022. "Extension of Interval-Valued Fermatean Fuzzy TOPSIS for Evaluating and Benchmarking COVID-19 Vaccines" Mathematics 10, no. 19: 3514. https://doi.org/10.3390/math10193514

APA Style

Ilieva, G., & Yankova, T. (2022). Extension of Interval-Valued Fermatean Fuzzy TOPSIS for Evaluating and Benchmarking COVID-19 Vaccines. Mathematics, 10(19), 3514. https://doi.org/10.3390/math10193514

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