An Integrated MCDM Framework for Sensitivity of Weighting Methods and Ranking Aggregation: Evidence From Financial Performance Evaluation

Abstract

This study proposes an integrated framework for evaluating alternatives in Multi-Criteria Decision Making (MCDM) by addressing weight sensitivity and ranking integration. The aim is to examine the effects of different criteria-weighting methods on ranking results and to develop a more consistent decision-making structure by integrating the resulting rankings. Financial performance indicators of Derimod Konfeksiyon A.Ş., listed on Borsa Istanbul (BIST), were evaluated using the Entropy, WENSLO, and MPSI weighting methods, while the MACAD method was employed to rank the alternatives. The analysis was initially conducted for the 2018–2024 period; however, identical rankings obtained across all weighting methods limited the assessment of weight sensitivity. Therefore, the analysis period was extended to 2015–2024, resulting in ranking variations that enabled a more meaningful comparison of the weighting methods. In the final stage, the resulting rankings were integrated into a single consensus ranking using the CURLIA method. The findings indicate that the proposed framework reduces inconsistencies arising from the use of different weighting methods and produces more stable and reliable performance evaluations. Consequently, the study contributes to the MCDM literature by presenting an integrated methodological framework and demonstrating its applicability to financial performance evaluation.