Multiple Criteria Decision Making with Fuzzy Sets

Dr. Babek Erdebilli (B.D. Rouyendegh) is an Associate Professor at the Industrial Engineering Department, Ankara Yıldırım Beyazıt University (AYBU), Turkey. His work has been published in high-impact journals such as the International Journal of Production Research, Journal of Testing and Evaluation, and Annals of Operations Research. He is the Editor-in-Chief of the Journal of Turkish Operations Management and an Academic Editor at Applied Computational Intelligence and Soft Computing. His main teaching and research interests include performance measurement, fuzzy sets, linear programming, and multi-criteria decision making. He was awarded a grant by the Scientific and Technological Research Council of Turkey (TÜBİTAK) and served as a Research Fellow at the University of Toronto, Canada (2011-2012) and postdoc at Auburn University, USA (2015-2016), respectively. He is a member of INFORMS and MCDM.Dr. Gerhard-Wilhelm Weber is a Professor and the Chair of Marketing and Economic Engineering at the Faculty of Engineering Management, Poznan University of Technology, Poland. His research focuses on operations research, financial mathematics, optimization and control, the neuro- and bio-sciences, data mining, education and development. He is affiliated with the Association of European OR Societies (EURO), where he serves as the Advisor to EURO Conferences and International Federation of OR Societies (IFORS).

• Data-Driven Multi-Criteria Group Decision Making Under Heterogeneous Information.- Supplier Evaluation with Q-Rung Orthopair Fuzzy-Based COPRAS Method.- An Integrated Intuitionistic Fuzzy MCDM Model: Its Application to RIS.- Prioritization of Automotive Dealers According to Environmental Sustainability Criteria Using Fuzzy EDAS Method.- Ranking of the Bottled Water Brands Using Interval Type-2 Fuzzy ELECTRE Method.- Interval-Valued Pythagorean Fuzzy Entropy Weight Method and Its Application to Supplier Selection.- Hospital Performance Evaluation in COVID-19 Pandemic by Using Hesitant Fuzzy MABAC.- A Multiple Criteria Ranking Method Based on Outranking Relations: An Extension for Prospect Theory.- Development of a Cutting Insert Selection Model Using the Hesitant Fuzzy TOPSIS.-Comparing SMEs According to Industry 4.0 Adaptations for Mitigating the Bullwhip Effect.- Evaluating Industry 4.0 Barriers by Intuitionistic Fuzzy VIKOR Method.- Evaluating Industry 4.0 Barriers by Intuitionistic Fuzzy VIKOR Method.- Stationary Characteristics for Renewal-Reward Process with Generalized Reflecting Barrier and Fuzzy Demands.