Cakir, EsraTas, Mehmet AliDemircioglu, Emre2025-02-202025-02-202023978-3-031-16038-7978-3-031-16037-02367-33702367-3389https://doi.org/10.1007/978-3-031-16038-7_3https://hdl.handle.net/20.500.12846/1667Annual Conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS) -- MAY 31-JUN 03, 2022 -- St Mary Univ, Halifax, CANADAIn this study, Selected Element Reduction Approach (SERA) is proposed for weighting criteria in decision-making problems. The new method is based on the change caused by the reduction of a criterion in a fuzzy decision matrix. An overall ranking is obtained with the fuzzy evaluations of the decision-makers. After, the effect of a selected criterion on the results is calculated by excluding it from the evaluation. Accordingly, the criterion that creates the greatest change becomes the criterion with the highest weight. The values obtained as a result of the method are directly proportional to the weights of the criteria. The new method has been introduced to the literature with the application of personnel selection case.eninfo:eu-repo/semantics/closedAccessSelected element reduction approachFuzzy multi criteria decision makingFuzzy set theoryPersonnel evaluationA New Weighting Method in Fuzzy Multi-criteria Decision Making: Selected Element Reduction Approach (SERA)Conference Object50010.1007/978-3-031-16038-7_32030Q4WOS:0008719318000032-s2.0-85140446554