2692-2967ISSN (Online)
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Volume 8 , Issue 1 , PP: 40-46, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Ahmed Abdelaziz 1 * , Alia Nabil Mahmoud 2
Doi: https://doi.org/10.54216/AJBOR.080104
COVID-19, a coronavirus pandemic unlike any seen before, is in a state of flux over the planet. Since the COVID-19 pandemic now poses a serious danger to all nations, it is critical that policymakers find the most effective response possible. The coronavirus is difficult to eradicate, however the COVID-19 vaccination may help with that. Everyone is wondering which vaccination would be best for them. Multi-criteria decision-making (MCDM) is an excellent method for assessing this maze. As a result, we have suggested a cutting-edge MCDM method for choosing COVID-19 vaccinations. The primary objective of this work is to deliver a technique for MCDM. In this investigation, we present a unique hybrid model that combines the strengths of the neutrosophic Analytic Hierarchy Process (N-AHP) and the neutrosophic VIKOR technique. Using the N-AHP, we can quantify the importance of the criterion, and using the N-VIKOR method, we can prioritize our options for interventions.
MCDM , Neutrosophic Sets , Uncertainty , Single Valued Neutrosophic Sets , ,
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