A systematic literature review on Intuitionistic Fuzzy Decision Making with Applications in Green Energy

Intuitionistic fuzzy decision making (IFDM) is an advanced approach that extends traditional fuzzy set theory (FST) by considering degrees of membership (MS), non-membership (NMS), and hesitation (HS). This comprehensive framework enhances the ability to handle uncertainty and imprecision, making it particularly suitable for complex decision-making (DM) scenarios in electrical engineering (EE). This review paper provides an in-depth analysis of IFDM, covering its theoretical foundations, methodologies, and diverse applications within the field of electrical engineering (EE). We explore key algorithms, case studies, and the advantages of IFDM over conventional decision-making methods (DMMs). Additionally, we discuss future research directions and potential improvements in applying IFDM to emerging challenges in electrical engineering (EE).