Elliptic intuitionistic fuzzy Bonferroni mean operator and its application in MCDM

The representation of elliptic intuitionistic fuzzy sets employs an elliptic framework to depict uncertainty across membership and non-membership functions, effectively capturing the inherent vagueness in these degrees. In this research article, an innovative approach is explored to tackle the critical challenge of personnel selection in today's fiercely competitive markets. Introducing a novel elliptic intuitionistic fuzzy multi criteria decision making (MCDM) framework, the paper incorporates the Bonferroni mean operator to overcome the limitations of traditional averaging methods. This elliptic intuitionistic fuzzy MCDM approach provides a comprehensive representation of collective opinions within an elliptic framework. Leveraging elliptic intuitionistic fuzzy sets proves effective in managing the uncertainties associated with personnel selection.