COVID-19 vaccine choice using the multi-criteria decision making method under uncertainty

Ahmed Abdelaziz¹, Alia Nabil Mahmoud²

^1,2Nova University in Lisbon, Information management school, Lisbon, Portugal

Emails: D20190535@novaims.unl.pt; M20190508@novaims.unl.pt

Abstract

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.

Keywords: MCDM; Neutrosophic Sets; Uncertainty; Single Valued Neutrosophic Sets;