Akademik Veri Yönetim Sistemi
AXIOMS, cilt.14, sa.3, 2025 (SCI-Expanded)
This paper aims to effectively tackle decision-making problems on interval-valued Fermatean fuzzy sets; the current research suggested an integrated approach based on the WASPAS method. The criteria weights were determined by combining the objective weights obtained by the similarity measure approach with the subjective weights provided by decision-makers. This combination made achieving more realistic weights possible. Interval-valued Fermatean fuzzy sets were subjected to improved scoring functions and novel similarity measures concerning objective and subjective weights. The application of green supply chain management is discussed to show that the created approach fully applies to multi-criteria decision-making issues in the actual world. Green supply chain management was examined using critical success factors to control and audit enterprises' processes as a numerical example of the developed method. In the examinations, it was seen that the companies implementing the selected GSC applications achieved close results and thus acted appropriately to the situation. To validate the stability of the developed technique, this study also includes a sensitivity analysis utilizing different weights of criterion and different values of the method's parameters. According to the investigation, merging subjective and objective weights enhanced the method's stability created with different criteria weights. The outcomes of the approach developed here were compared with those of other approaches previously put forth in the literature to assess its performance accurately.