Vorliegende Sprache |
eng |
ISBN |
978-3-030-89794-9 |
978-3-030-89796-3 |
978-3-030-89797-0 |
Name |
Rezaei, Jafar ¬[HerausgeberIn]¬ |
Brunelli, Matteo ¬[HerausgeberIn]¬ |
ANZEIGE DER KETTE |
Brunelli, Matteo ¬[HerausgeberIn]¬ |
Name |
Mohammadi, Majid ¬[HerausgeberIn]¬ |
Körperschaft |
International Workshop on Best-Worst Method <2., 2021, Online> ¬[VerfasserIn]¬ |
T I T E L |
Advances in Best-Worst Method |
Zusatz zum Titel |
Proceedings of the Second International Workshop on Best-Worst Method (BWM2021) |
Verlagsort |
Cham |
Cham |
Verlag |
Springer International Publishing |
Imprint: Springer |
Erscheinungsjahr |
2022 |
2022 |
2022 |
Umfang |
1 Online-Ressource (X, 288 p. 55 illus., 39 illus. in color.) |
Reihe |
Lecture Notes in Operations Research |
Notiz / Fußnoten |
"This book contains the proceedings of BWM2021, The Second International Workshop on Best-Worst Method. The workshop, hosted by Delft University of Technology, was organized online, due to the COVID-19 outbreak, on two days June 10 and 11, 2021." - Seite 5 |
Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-89794-9 |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-89796-3 |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-89797-0 |
ISBN |
ISBN 978-3-030-89795-6 |
Klassifikation |
KJT |
BUS049000 |
KJMD |
658.40301 |
658.403 |
Kurzbeschreibung |
Preface -- The balancing role of Best and Worst in Best-Worst Method -- Hierarchical evaluation of criteria and alternatives within BWM: A Mon-te Carlo approach -- A two-step Best-Worst Method (BWM) and K-Means clustering recom-mender system framework -- A linguistic 2-tuple Best-Worst Method -- How does the entrepreneurship ecosystem contribute to the perfor-mance of entrepreneurial start-up firms? -- A multi-attribute decision-making to sustainable construction material selection: A Bayesian BWM-SAW hybrid model -- Risk assessment of passenger flow in an urban rail transit system: indi-cators, application, and analysis -- Bridge infrastructure resilience analysis against seismic hazard using Best-Worst Method -- A value-focused approach for the design of innovative logistics con-cepts: the case of off-peak pickup and delivery in the air cargo industry -- An Innovative digital maturity assessment model for smart cities -- Determining the importance of barriers to IoT implementation using Bayesian Best-Worst Method -- Assessment of environmental performance criteria in textile industry using the Best-Worst Method. |
2. Kurzbeschreibung |
This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Second International Workshop on Best-Worst Method (BWM2021), held in Delft, The Netherlands from 10-11 June, 2021, and provides valuable insights on why and how to use BWM in a diverse range 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, and complete information vs incomplete and uncertain situations. The papers gathered here will benefit academics and practitioners who are involved in multi-criteria decision-making and decision analysis. |
SWB-Titel-Idn |
1777509009 |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttps://doi.org/10.1007/978-3-030-89795-6 |
Internetseite / Link |
Resolving-System |