Fuzzy Method Based on the Removal Effects of Criteria (MEREC) for Determining Objective Weights in Multi-Criteria Decision-Making Problems

In multi-criteria decision-making (MCDM) research, the criteria weights are crucial components that significantly impact results. Many researchers have proposed numerous methods to establish of criterion. This paper provides a modified technique, fuzzy method based on removal effects (MEREC) by modifying normalization technique and enhancing logarithm function used assess entire performance alternatives in weighting process. Since MCDM problems intrinsically ambiguous or complex, theory is interpret linguistic phrases into triangular numbers. The comparative analyses were conducted through case study staff appraisal at Malaysian academic institution simulation-based validate effectiveness stability presented method. results MEREC compared with those from few different objective techniques correlation coefficients, outlier tests central processing unit (CPU) time. demonstrate verified as coefficient values consistent throughout study. Furthermore, demonstrates even presence outliers collection alternatives, able offer for also requires less CPU time existing techniques. Hence, suitable alternative efficient computing problems.