Course Selection for Higher Education Using Distance Measures of Complex Fermatean Fuzzy Soft Sets

Abstract

Education plays a crucial role in the development of every country, as it not only raises awareness but also provides the ability to create new sources of employment. In this regard, selecting the most suitable course for higher education is essential, based on an individual’s abilities and educational background. Although many decision-making approaches exist, each has its own limitations and drawbacks. Making a well-informed decision based on multiple factors requires a multi-attribute decision-making (MADM) technique. To address uncertainty and ambiguity in this process, a framework integrated with MADM is necessary. Accordingly, this article presents an advanced MADM technique based on distance measures of the complex Fermatean fuzzy soft set. Furthermore, the proposed model is applied to a case study on course selection for higher education. Finally, the article concludes with remarks on the limitations of the proposed model and directions for future research.