Multicriteria Decision-Making Analysis for Civil Engineering Applications
- 1st Edition - October 17, 2024
- Imprint: Woodhead Publishing
- Authors: Hossein Bonakdari, Amir Noori, Khosro Morovati
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 2 2 8 2 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 2 2 8 3 - 2
Decision-making is a key factor to achieve success in any discipline, especially in a field like civil engineering, which is based on calculations and requires large amounts of in… Read more
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Request a sales quoteDecision-making is a key factor to achieve success in any discipline, especially in a field like civil engineering, which is based on calculations and requires large amounts of information being taken into account. Most processes and procedures are a compendium of many different tasks and requirements specific to each project under development, and making decisions in such environments can often be an arduous endeavor. That is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly.
As an all-encompassing resource, Multicriteria Decision-Making Analysis for Civil Engineering Applications facilitates civil engineers by outlining state-of-the-art techniques for quantitative decision-making to optimally select the appropriate approach when faced with operational issues or to prioritize among multiple options.
Authored by recognized experts in the field, this book proves to be a balanced reference volume that is essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines.
- Presents a systematic framework of methodological solutions helping readers to make decisions quickly and accurately
- Features several real-life case studies that support understanding and provide reliable actionable guidance
- Includes the theoretical underpinnings of decision support tools and emphasizes multicriteria decision analysis techniques applied to civil engineering projects
- Offers civil engineers a structured approach to tackle complex decisions and establish priorities in their projects
- Is accompanied by an online companion site that includes Excel worksheets, demonstrating step-by-step processes, numerical simulations, and worked-out examples
Academics and researchers, under- and postgraduate students in civil and structural engineering, construction building technologies and materials science, architecture, conservation science, urban studies, infrastructure engineering, environmental engineering and management, climatology and sustainability studies, hydrology and water resources engineering, transportation systems engineering, operations research/project economics and management. The volume could also prove to be of interest to students in computer science, mathematics and statistics, as well as applied science. Practitioners and industry stakeholders in all the fields described above, public and private bodies engaged in decision-making for sustainable built environment development
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- About the authors
- Preface
- 1. Overview of decision-making
- Abstract
- 1.1 Overview of multicriteria decision-making methods
- 1.2 Decision-making
- 1.3 Multicriteria decision analysis process
- 1.4 Alignment with decision-making objectives
- 1.5 Understandable nature of criteria
- 1.6 Measurability of criteria
- 1.7 Nonredundancy of criteria
- 1.8 Independence versus dependence of criteria
- 1.9 Operationally of criteria
- 1.10 Scoring methods
- 1.11 Compromising methods
- 1.12 Concordance methods
- 1.13 Comparative method
- References
- 2. Introduction to multicriteria decision-making
- Abstract
- 2.1 Introduction
- 2.2 Quantification of decision components
- 2.3 Normalization
- 2.4 Weighting of decision components
- 2.5 Conclusion
- References
- 3. Scoring methods
- Abstract
- 3.1 Introduction
- 3.2 Simple additive weighting technique
- 3.3 Simple multiattribute rating technique method
- 3.4 MOORA technique
- 3.5 Summary of the rankings
- 3.6 Complex proportional assessment technique
- 3.7 Conclusion
- References
- 4. Compromising methods
- Abstract
- 4.1 Introduction
- 4.2 TOPSIS method
- 4.3 VIKOR technique
- 4.4 LINMAP technique
- 4.5 Conclusion
- References
- 5. Pairwise comparison techniques
- Abstract
- 5.1 Introduction
- 5.2 The importance weights of the pairwise comparisons matrix methods
- 5.3 Analytic hierarchy process technique
- 5.4 The modified analytic hierarchy process technique
- 5.5 Decision-making trial and evaluation laboratory technique
- 5.6 Best–worst technique
- 5.7 Conclusion
- References
- 6. Outranking methods
- Abstract
- 6.1 Introduction
- 6.2 Modeling preferences by outranking method
- 6.3 PROMETHEE technique
- 6.4 ELECTRE IV technique
- 6.5 ELECTRE II technique
- 6.6 ELECTRE III technique
- 6.7 EVAMIX technique
- 6.8 REGIME technique
- 6.9 Conclusion
- References
- 7. Multicriteria decision-making under uncertainty
- Abstract
- 7.1 Introduction
- 7.2 Fuzzy multicriteria decision-making
- 7.3 Quantification of linguistic variables using fuzzy scales
- 7.4 Converting fuzzy numbers to definite numbers (defuzzification)
- 7.5 Fuzzy multicriteria decision-making techniques
- 7.6 Conclusion
- References
- 8. Group decision-making
- Abstract
- 8.1 Introduction
- 8.2 Group decision-making approaches
- 8.3 Qualitative group approach
- 8.4 Conclusion
- References
- 9. Application of integrated MCDM methods in civil engineering
- Abstract
- 9.1 Introduction
- 9.2 Integrated fuzzy Delphi and fuzzy ELECTRE III methods
- 9.3 Integrated fuzzy AHP and fuzzy VIKOR method
- 9.4 Integration of fuzzy AHP and fuzzy TOPSIS models
- 9.5 Conclusion
- References
- 10. Artificial intelligence algorithms and multicriteria decision-making
- Abstract
- 10.1 Introduction
- 10.2 Neural networks in multicriteria decision-making
- 10.3 Interactivity in multicriteria decision-making
- 10.4 Literature review
- 10.5 Application of artificial neural network and MCDM
- 10.6 Combination of artificial neural network and fuzzy VIKOR
- 10.7 Combination of artificial neural network and analytical hierarchical process
- 10.8 Performance metrics of artificial neural network models
- 10.9 Conclusion
- References
- 11. Application of Microsoft Excel in multicriteria decision-making
- Abstract
- 11.1 Introduction
- 11.2 Required functions
- 11.3 Normalization
- 11.4 Weighting function
- 11.5 SWARA technique
- 11.6 SAW technique
- 11.7 MAUT technique
- 11.8 SMART technique
- 11.9 MOORA technique
- 11.10 COPRAS technique
- 11.11 ARAS technique
- 11.12 TOPSIS technique
- 11.13 VIKOR technique
- 11.14 Taxonomy technique
- 11.15 PROMETHEE technique
- 11.16 ELECTRE I technique
- 11.17 QUALIFLEX technique
- 11.18 ORESTE technique
- 11.19 EVAMIX technique
- 11.20 REGIME technique
- 11.21 Determining the importance weights using pairwise comparisons matrix
- 11.22 AHP technique
- 11.23 Fuzzy SAW technique
- 11.24 Fuzzy TOPSIS technique
- 11.25 Conclusion
- Index
- Edition: 1
- Published: October 17, 2024
- No. of pages (Paperback): 926
- No. of pages (eBook): 400
- Imprint: Woodhead Publishing
- Language: English
- Paperback ISBN: 9780443222825
- eBook ISBN: 9780443222832
HB
Hossein Bonakdari
Dr. Hossein Bonakdari is a distinguished professor in the Department of Civil Engineering at the University of Ottawa, specializing in mathematical modeling and artificial intelligence (AI). A leading expert in AI-driven data analysis, he has pioneered advanced algorithms for real-time forecasting and big data interpretation, significantly improving the understanding and management of environmental systems.
Dr. Bonakdari has authored four books, published over 320 peer-reviewed journal articles, contributed to more than 20 book chapters, and delivered over 100 presentations at national and international conferences. As a respected editorial board member of several leading journals, he continues to shape research in his field. His groundbreaking contributions have earned him global recognition, ranking him among the top 2% of the world's scientists from 2019 to 2024.
Affiliations and expertise
Associate Professor, Department of Civil Engineering, University of Ottawa, Ontario, CanadaAN
Amir Noori
Amir Noori is a PhD candidate at the Department of Civil Engineering of the University of Ottawa (Canada). He received his MSc in Water Resource Engineering and Management from Razi University (Iran). His research interests are directed at water resources planning, integrated multi-criteria decision-making models, and GIS and RS applications. He developed different novel multi-criteria decision-making techniques to address several practical challenges, which were published in high-impact factor journals. Based on his excellent resume, the University of Ottawa secured him an admission scholarship and he was nominated for the merit scholarship as well.
Affiliations and expertise
PhD Candidate, Department of Civil Engineering, Faculty of Engineering, University of Ottawa, Ottawa, Ontario, CanadaKM
Khosro Morovati
Dr. Morovati obtained his PhD in Hydraulic Engineering from Tsinghua University (China). His recent works are dedicated to finding nature-based scientific solutions for transboundary rivers and water resource management by developing hydrological, hydrodynamic, data science, and multi-criteria decision-making approaches. His study also looks at the impacts produced by climate variation and human activities on flow regime shifts of rivers and lakes. He has published several papers in high-quality journals.
Affiliations and expertise
Postdoctoral Research Fellow, Department of Hydraulic Engineering, School of Civil Engineering, Tsinghua University, Beijing, ChinaRead Multicriteria Decision-Making Analysis for Civil Engineering Applications on ScienceDirect