Neutrosophic fuzzy weighted saving heuristic for COVID-19 vaccination

Abstract

Vaccination procedures, which are the most effective way to deal with the COVID-19 pandemic, have started worldwide. Since hospitals and health centers are used as vaccination centers, collecting people in one place can lead to the spread of other diseases. Therefore, the use of temporary vaccination clinics is encouraged for mass vaccination. In this study, the number of temporary clinics that need to be placed in candidate locations and the regions they serve are investigated. While the weights of the candidate places are determined by a single-valued neutrosophic fuzzy multi criteria decision-making method, the temporary vaccination clinics are assigned to the candidate locations via savings heuristic. The proposed neutrosophic fuzzy MCDM integrated saving heuristic methodology is applied on an illustrative example. The results are thought to be helpful in future multi-facility layout models.