Fermatean Fuzzy Combined Compromise Solution Multiple Expert Multiple Criteria Decision-Making Approach

Abstract

The Fermatean fuzzy set (FFS) presented is a stronger and usefulness uncertain information representation model for portraying the potential nondeterminacy of data, and the combined compromise solution (COCOSO) method can comprehensively attain a more robust decision outcome through taking into consideration three information fusion strategies. By taking the merits of FFS and COCOSO method, we advance a newly multiple expert multiple criteria decision-making (MEMCDM) technique in light of COCOSO and coefficient of variation methods with Fermatean fuzzy information. Firstly, we review several fundamental conceptions of FFS, including the score function and aggregation operators. Secondly, we put forward an innovative MEMCDM approach through synthesizing the COCOSO method and coefficient of variation method under Fermatean fuzzy environment, where the criterion weight is ascertained through improved Fermatean fuzzy coefficient of variation (COV) method from the visual angle of decision information objectivity. Afterward, a case concerning the assessment of investment enterprises is employed to further confirm the practicability and feasibility of the propounded MEMCDM method, as well as the contrast analysis is conducted to sticking out the flexibility and efficiency of the proffered MEMCDM technique.