TY  - GEN
N2  - This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.
DO  - 10.1007/978-3-031-24816-0
DO  - doi
AB  - This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.
T1  - Advances in best-worst method :proceedings of the Third International Workshop on Best-Worst Method (BWM2022) /
AU  - Rezaei, Jafar,
AU  - Brunelli, Matteo,
AU  - Mohammadi, Majid,
CN  - HD30.23
N1  - Selected conference papers.
N1  - Includes author index.
ID  - 1454526
KW  - Decision making
SN  - 9783031248160
SN  - 3031248163
TI  - Advances in best-worst method :proceedings of the Third International Workshop on Best-Worst Method (BWM2022) /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-24816-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-24816-0
ER  -