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Multi-criteria decision analysis : case studies in engineering and the environment

✍ Scribed by Igor Linkov, Emily Moberg, Benjamin D. Trump, Boris Yatsalo, and Jeffrey M. Keisler


Publisher
CRC Press
Year
2021
Tongue
English
Leaves
421
Series
Environmental assessment and management
Edition
2
Category
Library

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✦ Table of Contents


Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Table of Contents
Foreword
Preface
Acknowledgments
Authors
Part I: Multi-Criteria Decision Analysis: Methods and Applications
1. Introduction to Multi-Criteria Methods
Background
MCDA Methods
MAUT
AHP
Outranking
Uncertainty in Models
Using MCDA with This Book
Concluding Remarks
References
2. Multi-Criteria Decision Analysis in Environmental Sciences: Applications and Trends
Literature Review and Paper Classification
Growth of MCDA in Environmental Field
MCDA Awareness in Government Agencies
Trends in MCDA Methodologies Usage
Trends in Application Areas
MCDA Usage by Geographic Region
MCDA Usage by Government Agency
Conclusion
References
Part II: MCDA Methods in Depth: Sediment Management
3. Problem Formulation and MCDA Model
Background: Sediment Dredging
Sediment Dynamics
Dredging
Impacts of Dredging
Environmental and Ecological Effects
Socioeconomic Impacts
Dangers of Contaminated Sediments
Alternatives Selection
Criteria Selection
Criteria Identification
Formulation of Alternatives
References
4. Weighting and Scoring
Weighting for New York Harbor
Direct Weighting
Rank-Based Weighting
Pairwise Comparison (AHP)
Swing-Weighting
Evaluation of Alternative Performance
Weighting for Cocheco Project
Rating
Pairwise Comparison (AHP)
Swing-Weighting
Evaluation of Alternative Performance
Biases in Weighting and Scoring
References
5. Model Application: MAUT
New York–New Jersey Harbor
Information Synthesis
Planning
Questions for Further Thought
Cocheco River
Planning
Questions to Consider
References
6. Model Application: Outranking
NY–NJ Harbor Case
Questions to Consider
Cocheco River Case
Questions to Consider
References
7. Model Application: AHP
New York–New Jersey Harbor
Questions to Consider
Cocheco River
Questions to Consider
Reference
8. Advanced Methods
Value of Information (VoI)
Portfolio Decisions
Optimization
MCDA Example
Geographic Information Systems
References
Part III: MCDA Application in Depth: Nanomaterials
9. Nanomaterials: Background and Environmental Challenges
Background
Importance
Uncertainty and Risk
Moving Forward
References
10. Risk-Based Classification of Nanomaterials
MCDA Methodology
Problem Identification
Goal
Choosing the Appropriate Methodology
Problem Structuring/Formulation of Criteria and Alternatives
Criteria Selection
Alternatives Selection
Model Assessment/Building: Weights and Scores
Weighting
Scores
Model Application and Analysis
Planning
Questions to Consider
References
11. Nanomaterials Risk-in Perspective: Bringing Together Technical Judgment and Stakeholder Preference
Problem Identification
Problem Structuring/Formulation of Criteria and Alternatives
Alternatives
Criteria
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning and Extensions
Questions to Consider
References
12. Insurability of Nanotechnology
Problem Identification
Problem Structuring/Formulation of Criteria and Alternatives
Alternatives
Criteria
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
13. Selecting Optimal Nanomanufacturing Technology
MCDA Methodology
Problem Identification
Problem Structuring/Formulation of Criteria and Alternatives
Formulation of Alternatives
Criteria Selection
Model Assessment/Building: Weights and Scores
Criteria Weighting
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
14. Part I: Value of Information Analysis for Nanomanufacturing
MCDA and Uncertainty
VoI Methodology and Application Example
Questions to Consider
References
15. Part II: Value of Information and Portfolio Analysis for Nanomaterial Hazard Reclassification
Problem Identification
Goal
Choosing the Appropriate Model
Problem Structuring/Formulation of Criteria and Alternatives
Model Application
Model Analysis
Planning/Extensions
Questions to Consider
References
Part IV: MCDA Application Case Studies
16. Setting Dredging Windows for Sensitive Fish Species
Background
Importance
Uncertainty/Risk
Moving Forward
MCDA Methodology
Problem Identification
Problem Structuring/Formulation of Criteria and Alternatives
Criteria Selection
Alternative Selection
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
17. Management of Harmful Algal Blooms
Background
Importance
Uncertainty and Risk
Moving Forward
MCDA
Problem Identification
Problem Structuring/Formulation of Criteria and Alternatives
Alternatives
Criteria
Model Assessment/Building: Weights and Scores
Alternative Scoring
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
18. Restoring Oysters in Chesapeake Bay
Background
Importance
Uncertainty and Risk
Moving Forward
MCDA Methodology
Problem Identification
Goal
Choosing the Appropriate Model
Problem Structuring/Formulation of Criteria and Alternatives
Criteria Selection
Alternative Selection
Model Assessment/Building: Weights and Scores
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
19. Performance Metrics for Oil Spill Response
Background
Importance
Uncertainty and Risk
Moving Forward
MCDA Methodology
Problem Identification
Problem Structuring/Formulation of Criteria and Alternatives
Alternative Selection
Criteria Selection
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
20. Choosing Remediation Measures for Contaminated Sites
Background and Importance
Uncertainty and Risk
Moving Forward
MCDA Methodology
Problem Structuring
Source Data
Alternatives
Criteria
Models
Implementation of SDSS and Models for Criteria Assessments
Results of Implementing Each Alternative Utilized
Weight Coefficients
Scores
Problem Identification
Goal
Model Application and Analysis
Uncertainty Analysis
The Analyst Suggested the Following Approach to Implementation of ProMAA
Conclusion and Decision-Making
Questions to Consider
References
21. Cruise Ship Tourism, Venice, and MCDA
Background
Importance
Uncertainty and Risk
Moving Forward
MCDA Methodology
Problem Identification
Goal
Choosing the Appropriate Model
Problem Structuring/Formulation of Criteria and Alternatives
Alternative Selection
Criteria Selection
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
22. Sustainable Roofing Technology
Background
Importance
Uncertainty and Risk
Moving Forward
MCDA Methodology
Problem Identification
Goal
Choosing the Appropriate Model
Problem Structuring/Formulation of Criteria and Alternatives
Criteria Selection
Alternative Selection
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
23. Housing Development Site Selection
Background
Importance
Uncertainty and Risk
Moving Forward
Problem Identification
Goal
Choosing the Appropriate Model
Problem Structuring/Formulation of Criteria and Alternatives
Criteria Selection
Alternative Selection
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
24. Power Supply Alternatives and MCDA
Background
Importance
Uncertainty and Risk
Moving Forward
MCDA Methodology
Problem Identification
Goal
Choosing the Appropriate Model
Problem Structuring/Formulation of Criteria and Alternatives
Criteria Selection
Alternative Selection
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
25. Decision Analysis of Material Selection for Automotive Industry Sustainability
Background
Importance
Uncertainty and Risk
Moving Forward
MCDA Methodology
Problem Identification
Goal
Choosing the Appropriate Model
Problem Structuring/Formulation of Criteria and Alternatives
Criteria Selection
Alternative Selection
Model Assessment/Building: Weights and Scores
Weights
Scores
Model Application and Analysis
Planning/Extensions
Questions to Consider
References
Appendix
Index


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