Advances in Best-Worst Method

12.11.2022

Englisch

9783030897970

Springer International Publishing

Lecture Notes in Operations Research

Nein

288

Broschiert

Proceedings of the Second International Workshop on Best-Worst Method (BWM2021)

Jafar Rezaei is an Associate Professor and Head of the Transport and Logistics Section at the Department of Engineering Systems and Services, Faculty of Technology, Policy and Management, Delft University of Technology, The Netherlands. He completed his PhD at the same university. He has a background in Operations Research, and has published in several peer-reviewed journals. He is the Editor-in-Chief of Journal of Supply Chain Management Science and serves as an editorial board member for several scientific journals. In 2015, he developed the Best-Worst Method (BWM). His main research interests are in multi-criteria decision-making and its applications in different fields. Matteo Brunelli is an Associate Professor of Mathematical Methods at the Department of Industrial Engineering, University of Trento, Italy. He received his Bachelor and Master degrees from the University of Trento, Italy, and his PhD from Åbo Akademi University, Finland. He spent five years as a Postdoctoral Researcher at Aalto University, Finland. His research interests include decision analysis, preference modelling, mathematical representations of uncertainty and fuzzy sets. Majid Mohammadi is a Postdoctoral Researcher at Vrije Universiteit Amsterdam (VU), The Netherlands. Prior to joining VU, he pursued postdoctoral research at Eindhoven University of Technology, and completed his PhD at Delft University of Technology, The Netherlands, earning a cum laude, the highest distinction in the Dutch academic system. His research interests are in methodological contributions to various domains such as multi-criteria decision-making, machine and deep learning, Bayesian statistics, and statistical learning theory.

Decision Making, Multi-criteria decision-making, BWM, BWM2021, Pairwise comparisons, Weighting methods, Weight elicitation, Multi-attribute value theory, Multi-attribute utility theory

KJT - Unternehmensforschung KJMD - Management: Entscheidungstheorie KJMV8 - Einkaufs- und Supply-Management

235 mm

15.5 cm