Advances in Best–Worst Method

Proceedings of the Fifth International Workshop on Best–Worst Method (BWM2024)
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Springer

Paru le : 2025-03-20

This proceedings book contains selected papers from the Fifth International Workshop on Best-Worst Method (BWM2024), held in Delft, the Netherlands, from 13 to 14 June 2024. It presents recent advancements in theory and applications of the Best-Worst Method. It provides valuable insights on why and ...
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Éditeur

Collection
n.c

Parution
2025-03-20

Pages
197 pages

EAN papier
9783031767654

Jafar Rezaei is Associate Professor at the Department of Engineering Systems and Services, Faculty of Technology, Policy, and Management, Delft University of Technology, the Netherlands. He completed his Ph.D. at the same university. He has a background in operations research and has published in several peer-reviewed journals. He is Editor-in-Chief of Journal of Mult-Criteria Decision Analysis and serves as 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 Associate Professor of Mathematical Methods at the Department of Industrial Engineering, University of Trento, Italy. He received his Bachelor's and Master's degrees from the University of Trento, Italy, and his Ph.D. from Åbo Akademi University, Finland. He spent five years as Postdoctoral Researcher at Aalto University, Finland. His research interests include decision analysis, preference modelling, mathematical representations of uncertainty, and fuzzy sets. Majid Mohammadi is 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 Ph.D. at Delft University of Technology, 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.

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EAN PDF
9783031767661
Prix
179,34 €
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
8028 Ko
EAN EPUB
9783031767661
Prix
179,34 €
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
11950 Ko

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