| Vorliegende Sprache |
eng |
| ISBN |
978-3-031-40327-9 |
| 978-3-031-40329-3 |
| 978-3-031-40330-9 |
| Name |
Rezaei, Jafar ¬[HerausgeberIn]¬ |
| Brunelli, Matteo ¬[HerausgeberIn]¬ |
| ANZEIGE DER KETTE |
Brunelli, Matteo ¬[HerausgeberIn]¬ |
| Name |
Mohammadi, Majid ¬[HerausgeberIn]¬ |
| Körperschaft |
International Workshop on Best-Worst Method <4., 2023, Delft; Online> ¬[VerfasserIn]¬ |
| T I T E L |
Advances in Best-Worst Method |
| Zusatz zum Titel |
Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) |
| Verlagsort |
Cham |
| Cham |
| Verlag |
Springer Nature Switzerland |
| Imprint: Springer |
| Erscheinungsjahr |
2023 |
| 2023 |
| 2023 |
| Umfang |
1 Online-Ressource (X, 247 p. 46 illus., 42 illus. in color.) |
| Reihe |
Lecture Notes in Operations Research |
| Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-031-40327-9 |
| Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-031-40329-3 |
| Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-031-40330-9 |
| ISBN |
ISBN 978-3-031-40328-6 |
| Klassifikation |
KJT |
| KJMD |
| BUS049000 |
| 658.403 |
| Kurzbeschreibung |
Probabilistic group decision-making using BWT -- Robust stakeholder-based group-decision making framework: the Multi-Actor Multi-Criteria Analysis (MAMCA) with the integration of Best-Worst Method (BWM) -- A consistent and consensual best-worst method and its application to salespersons’ performance evaluation problem -- Which Prioritization Method is Better for Deriving Priority from Best-Worst Preferences? A Theoretical and Experimental Analysis -- A hesitant multiplicative best-worst method for multiple criteria decision making -- Industry 4.0 and green entrepreneurship for environmental sustainability: Exploring barriers from an Indian SME Perspective -- Supplier selection for the oil industry using a combined BWM & F-VIKOR, case study: National Iranian South Oil Company -- Assessing smartness of an automotive industry: Importance-Performance Analysis -- Determining the criterion weights for the selection of volunteers in humanitarian organizations by the Best-Worst Method -- Emergency service quality assessment using SERVQUAL and BWM -- Avalanche risk analysis by a combined Geographic Information System and Bayesian Best-Worst Method -- Snow Avalanche Hazard Prediction Using the Best-Worst Method – Case Study: the Šar Mountains, Serbia -- Assessment of renewable energy development strategies with BWM-Grey TOPSIS. |
| 2. Kurzbeschreibung |
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. |
| SWB-Titel-Idn |
1861140169 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttps://doi.org/10.1007/978-3-031-40328-6 |
| Internetseite / Link |
Resolving-System |
