Multi-Criteria Decision Analysis for Risk Assessment and Management

Jingzheng Ren (Curatore)

Springer Nature Switzerland AG, 2022

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book.  There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities.  The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

• Curatore: Jingzheng Ren
• Editore: Springer Nature Switzerland AG
• Collana: Industrial Ecology and Environmental Management
• Anno: 2022
• Rilegatura: Paperback / softback
• Pagine: 252 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030781545

Testo in English