An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines

Abstract

Soft multi-criteria decision-making, a developing area, is among the most prevalent problems handled by researchers. This study aims to introduce a soft decision-making method and apply it to rank the side effects of COVID-19 vaccines. Based on the literature, the present study features the advantages and disadvantages of previously observed multi-criteria decision-making (MCDM) methods are summarized. This paper achieves to utilize multisets simultaneously with the known soft decision-making methods. The primary concern hereof is to offer an insightful everydaylife example. Finally, the authors discuss the need for further research.