Application of Intuitionistic Fuzzy Sets: Strong and Weak Criteria in Schooling during COVID-19

Abstract

Introduction: Multi-criteria is a challenging topic due to multiple competing criteria, and decision makers' information is frequently inaccurate and ambiguous. The important contributions of this study are used to determine the stronger and weaker criteria.
Objectives: This paper proposes a strategy for solving multi-criteria decision making (MCDM) issues and sorting the criteria based on survey data that blends grey relational analysis (GRA) approaches with weighted intuitionistic fuzzy entropy.
Methods: Here, the numerical example to select the strong and weaker criteria to demonstrate how the intuitionistic fuzzy coupled with entropy approach mixed with GRA methodologies effectively. These GRA analytical methods are helpful in discovering the challenges facing the schooling system during a pandemic.
Results: In the proposed research, an overview is provided by compiling 28 Criteria and categorizing them into 7 Dimensions, which serve as the foundational elements of the educational system in pandemic scenarios. Seven criteria have been identified as the strongest standards for the educational system during the pandemic situation.
Conclusions: This method blends grey relational analysis (GRA) approaches with weighted intuitionistic fuzzy entropy included several phases for locating obstacles as well as Strong and Weak criteria. In future, to assess criteria, a variety of weighting strategies might be used. The Governance and Corporate are advised to use the suggested approach in future.