We are pleased to announce that the paper titled "A Multi-Criteria Ranking Framework for Machine Learning Algorithms: Credit Card Fraud Detection" has been accepted for publication in International Transactions in Operational Research.

Authored by Mehmet Zahid Yüzügüldü, Dr. H. Oktay Altun, Prof. Ali Coşkun, and Emir Şener, the study introduces a novel multi-criteria framework for evaluating machine learning algorithms in credit card fraud detection. The proposed approach considers not only predictive performance but also operational factors such as robustness, computational efficiency, and temporal stability, offering a more comprehensive evaluation methodology for real-world financial applications.

We congratulate the authors on this achievement and wish them continued success in their research.