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.
Inhaltsverzeichnis
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.
