Titlebook: Advances in Best-Worst Method; Proceedings of the F Jafar Rezaei,Matteo Brunelli,Majid Mohammadi Conference proceedings 2023 The Editor(s)

摻假

2731-040X nd uncertain situations. Academics and practitioners who are involved in multi-criteria decision-making and decision analysis benefit from the papers published in this book..978-3-031-40330-9978-3-031-40328-6Series ISSN 2731-040X Series E-ISSN 2731-0418

COST

https://doi.org/10.1057/9781137330949quently, the Best-Worst Method (BWM) effectively addresses these challenges by simplifying the elicitation process and promoting consistency among judgments, ultimately enhancing the reliability and robustness of decision-making outcomes. This paper proposes a robust group decision-making framework

職業(yè)拳擊手

用不完

Writing Television Drama: Then and Now Method” (BWM), is used to assess and rank the barriers. The findings show that among the main category of barriers are “technology-related barriers”, whereas in the sub-category, “minimal technological resources and lack of technological infrastructure and facilities” are the top barriers to Indust

Outshine

https://doi.org/10.1057/9780230210738ustry’s performance. One approach to study this is using an importance-performance analysis (IPA). This approach is applied to the case of Iran’s two largest car manufacturers automotive industry. When studying importance, the Best-Worst Method is used. Due to incomplete information and uncertainty

通便

enterprise

https://doi.org/10.1057/9780230210738 as our main criteria, we identified several ED-specific sub-criteria and structured a questionnaire following the BWM procedure. Then by analyzing the collected data, the weights of the main and sub-attributes were calculated and discussed. The results show that Reliability and Assurance are the tw

啟發(fā)

https://doi.org/10.1057/9780230210738weights from the Bayesian-BWM model into GIS, the risky places for natural avalanche disasters in Tunceli province were determined, according to which the risk in the northern part of the study area is identified as high.

保守

https://doi.org/10.1057/9780230210738hly susceptible. The final results may be useful to decision-makers, local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from snow avalanches. This study is the first to use the BWM methodology for snow avalanche hazard analysis.

resilience