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Multi-Criteria Decision Analysis for Risk Assessment and Management

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Cover of 'Multi-Criteria Decision Analysis for Risk Assessment and Management'

Table of Contents

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    Book Overview
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    Chapter 1 Risk Assessment: Indicators and Organizational Models
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    Chapter 2 An Integrated Bayesian BWM and Classifiable TOPSIS Model for Risk Assessment
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    Chapter 3 A Modified Risk Prioritization Approach Using Best–Worst Method
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    Chapter 4 Fuzzy Risk Assessment in the Presence of Uncertainties in Heterogeneous Preferences Elicitation and Reliability
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    Chapter 5 Assessment of COVID-19 Transmission Risk Through Fuzzy Inference System; an Application for Mining Activities
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    Chapter 6 Simulation Output Analysis for Risk Assessment and Mitigation
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    Chapter 7 Cause-Effect Analysis, Barriers Identification, and Policy Implications for China’s Energy Security
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    Chapter 8 Quantitative Risk Assessment and Management of Cash-In-Transit Vehicle Routing Problems
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    Chapter 9 Mitigating Energy Supply Risks: Factors Identification and Pathway Selection for China’s Renewable Energy Development Fuzzy PROMETHEE
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    Chapter 10 Sustainability Risks of Resource-Exhausted Cities in China: A Principal Component Analysis
Attention for Chapter 8: Quantitative Risk Assessment and Management of Cash-In-Transit Vehicle Routing Problems
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Citations

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Chapter title
Quantitative Risk Assessment and Management of Cash-In-Transit Vehicle Routing Problems
Chapter number 8
Book title
Multi-Criteria Decision Analysis for Risk Assessment and Management
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-78152-1_8
Book ISBNs
978-3-03-078151-4, 978-3-03-078152-1
Authors

Jin, Yuanzhi, Ge, Xianlong, Zhang, Long

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%

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