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Multi-Criteria Decision Analysis for Risk Assessment and Management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multi-Criteria Decision Analysis for Risk Assessment and Management/ edited by Jingzheng Ren.
other author:	Ren, Jingzheng.
Description:	VIII, 252 p. 53 illus., 36 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Science. -
Online resource:	https://doi.org/10.1007/978-3-030-78152-1
ISBN:	9783030781521

Multi-Criteria Decision Analysis for Risk Assessment and Management
Multi-Criteria Decision Analysis for Risk Assessment and Management[electronic resource] /edited by Jingzheng Ren. - 1st ed. 2021. - VIII, 252 p. 53 illus., 36 illus. in color.online resource. - Industrial Ecology and Environmental Management,12730-6089 ;. - Industrial Ecology and Environmental Management,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

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

574162
Science.

LC Class. No.: Q1-390

Dewey Class. No.: 500

Multi-Criteria Decision Analysis for Risk Assessment and Management
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