Multi-criteria decision analysis for risk assessment and management / Jingzheng Ren, editor.

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...

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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Ren, Jingzheng (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2021.
Series:Industrial ecology and environmental management ; v. 1.
Subjects:

MARC

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505 0 |a Risk assessment: indicators and organizational models -- An integrated Bayesian BWM and classifiable TOPSIS model for risk assessment -- A modified risk prioritization approach using best-worst method -- Fuzzy Risk Assessment In the Presence of Uncertainties in Heterogeneous Preferences Elicitation and Reliability -- Assessment of COVID-19 transmission risk through fuzzy inference system; an application for mining activities -- Simulation Output Analysis for Risk Assessment and Mitigation -- Cause-Effect Analysis, Barriers Identification and Policy Implications for China's Energy Security -- Quantitative Risk Assessment and Management of Cash-in-Transit Vehicle Routing Problems -- Mitigating Energy Supply Risks: Factors Identification and Pathway Selection for China's Renewable Energy Development Fuzzy PROMETHEE -- Sustainability risks of resource-exhausted cities in China: A principal component analysis. 
500 |a Includes index. 
520 |a 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. 
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