Advances in Best-Worst Method / Lecture Notes in Operations Research (PDF)
It presents recent advancements in theory and applications of the...
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This proceedings book contains selected papers from the Fourth International Workshop on Best-Worst Method (BWM2023), held in Delft, the Netherlands, from 8 to 9 June 2023.
It presents recent advancements in theory and applications of the Best-Worst Method (BWM). It provides valuable insights on why and how to use BWM in a diverse set of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, full information vs incomplete and uncertain situations. Academics and practitioners who are involved in multi-criteria decision-making and decision analysis benefit from the papers published in this book.
· Matteo Brunelli is 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 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.
- 2023, 1st ed. 2023, 247 Seiten, Englisch
- Herausgegeben: Jafar Rezaei, Matteo Brunelli, Majid Mohammadi
- Verlag: Springer International Publishing
- ISBN-10: 3031403282
- ISBN-13: 9783031403286
- Erscheinungsdatum: 03.10.2023
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- Größe: 4.33 MB
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