Dual Hesitant Fermatean Fuzzy Hamacher Operators in the Evaluation of Healthcare Sustainability

In addition to its ability to handle complex uncertain information, dual Hesitant Fermatean fuzzy sets (DHFFS) can be used to solve a wider range of multi-criteria decision making (MCDM) problems. To achieve our goal, we first proposed a score function for the ranking of DHFFS and thereafter we employed the proposed operations to develop DHFF information based hamacher average and geometric aggregation operators with their specific cases. After that, we utilize aforementioned operators to create a methodology for addressing real-world MCDM challenges. To emphasize the importance of proposed methods, a study based on the evaluation of sustainability of healthcare systems is conducted.