TY  - GEN
AB  - 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.
AU  - Rezaei, Jafar,
AU  - Brunelli, Matteo,
AU  - Mohammadi, Majid,
CN  - HD30.23
DO  - 10.1007/978-3-031-40328-6
DO  - doi
ID  - 1482362
KW  - Prise de décision
KW  - Decision making
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40328-6
N1  - Selected conference papers.
N2  - 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.
SN  - 9783031403286
SN  - 3031403282
T1  - Advances in best-worst method :proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) /
TI  - Advances in best-worst method :proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40328-6
ER  -