The COVID-19 Vaccine Preference for Youngsters Using PROMETHEE-II in the IFSS Environment

Extensive decision-making during the vaccine preparation period is unpredictable. An account of severity disease, younger people with COVID-19 comorbidities and other chronic diseases are also at a higher risk pandemic. In this research article, preference ranking structure for recommended young who have been exposed to effects certain diseases. Multiple Criteria Decision-Making (MCDM) approach effectively handles vague information. Furthermore, support Intuitionistic Fuzzy Soft Set (IFSS), entries under new extension Preference Ranking Organization Method Enrichment Evaluation-II (PROMETHEE-II) suggested Structure. The concept intuitionistic fuzzy soft sets parametric in nature. IFSS suggests how exploit an ambiguous input from decision-maker make up any shortcomings information provided by decider. weight inputs calculated Weighted Average (IFWA) operator, Simply (SWIFA) (SIFA) operator. Extended PROMETHEE-based ranking, outranking used, resultant lexicographic order. Its sustainability feasibility explored three distinct priority structures possibilities approach. To demonstrate all-encompassing PROMETHEE approach, practical application regarding patients given, then it compared existing approaches further explain its feasibility, sensitivity examined according criteria.