Multi-Criteria Decision-Making

Principles, Methods and Programs
1. Auflage 2026
ISBN: 978-1-032-85363-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm

This textbook for advanced undergraduate and graduate students provides a clear and practical guide to the principles and methods for structuring and solving complex problems that include multiple, often conflicting criteria.

The book introduces the foundations of multi-criteria decision-making (MCDM) and its relationship with complementary approaches such as multi-objective optimization and goal programming. It then presents three major MCDM methods: reference-type methods such as TOPSIS, aggregation-type methods such as AHP, and outranking-type methods such as ELECTRE. Each method is explained with numerical examples, and strengths and limitations discussed. Preprocessing techniques are also covered. The book highlights user-friendly software tools, including Microsoft Excel-based programs and open-source Python libraries. End-of-chapter exercises are also provided to ensure that readers can consolidate their knowledge and apply this to real-world applications.

This textbook is vital for advanced undergraduate and graduate students taking decision science and optimization courses in disciplines such as engineering, business, finance, and management. Its focus on recent methods and developments will ensure that students are well prepared for employment in their field or for further research alike.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Rangaiah, Gade Pandu

Wang, Zhiyuan

Fachgebiete

• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Management

Inhaltsverzeichnis

1. Introduction 2. Multi-Objective Optimization 3. Goal Programming 4. Normalization Methods 5. Objective Weighting Methods 6. Subjective Weighting Methods 7. Multi-Criteria Decision-Making — Reference-Type Methods 8. Multi-Criteria Decision-Making — Aggregation-Type Methods 9. Multi-Criteria Decision-Making — Outranking-Type Methods 10. Programs and Software for Multi-Criteria Decision-Making. Appendix: Alternatives-Criteria Matrix (ACM) for Selected Applications

Über Autor(innen)

Zhiyuan Wang is a Lecturer at Singapore University of Social Sciences, where he teaches within the School of Business. Prior to this, he served as an Assistant Professor at DigiPen Institute of Technology Singapore. He holds a B.Eng. and a Ph.D. from National University of Singapore, and an M.Sc. from Nanyang Technological University.

Gade Pandu Rangaiah has been with National University of Singapore since 1982, where he has received numerous teaching awards and is now an Emeritus Professor. Prior to joining NUS, he received B.Tech. from Andhra University, India; M.Tech. from I.I.T. Kanpur, India; and Ph.D. from Monash University, Australia, and worked in Engineers India Limited for two years.