Advances in Best-Worst Method Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023)

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...

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Bibliographic Details
Other Authors: Rezaei, Jafar (Editor), Brunelli, Matteo (Editor), Mohammadi, Majid (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Series:Lecture Notes in Operations Research
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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.