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Multi-criteria decision analysis for...

Ren, Jingzheng.

Multi-criteria decision analysis for risk assessment and management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-criteria decision analysis for risk assessment and managementedited by Jingzheng Ren.
其他作者:	Ren, Jingzheng.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	viii, 252 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Multiple criteria decision making.
電子資源:	https://doi.org/10.1007/978-3-030-78152-1
ISBN:	9783030781521$q(electronic bk.)

Multi-criteria decision analysis for risk assessment and management
Multi-criteria decision analysis for risk assessment and management[electronic resource] /edited by Jingzheng Ren. - Cham :Springer International Publishing :2021. - viii, 252 p. :ill. (some col.), digital ;24 cm. - Industrial ecology and environmental management,v. 12730-6089 ;. - Industrial ecology and environmental management ;v. 1..

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.

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.

ISBN: 9783030781521$q(electronic bk.)

Standard No.: 10.1007/978-3-030-78152-1doiSubjects--Topical Terms:

219475
Multiple criteria decision making.

LC Class. No.: T57.95 / .M85 2021

Dewey Class. No.: 658.403

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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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