http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
This book offers a comprehensive, mathematically grounded introduction to multi-attribute decision-making (MADM) for undergraduate, graduate, and doctoral students, as well as researchers in engineering, management, economics, and biology.It bridges theory and practice, covering fundamental concepts, advanced methods, and MATLAB implementations.
Chapter 1. Introduction to Decision Theory -- Chapter 2. Normalization Strategies -- Chapter 3. Subjective Weigh Methods -- Chapter 4. Objective Weight Methods -- Chapter 5. Integrated Weight Methods -- Chapter 6. Multi-Attribute Decision-Making Models -- Chapter 7. Challenges in MADM Models -- Chapter 8. Applications of MADM.
Ashok Kumar Yadav, Ali Ahmadian, Ajay Pratap.
Multi-Attribute Decision-Making: Bridging Theory and Practice
Transactions on computer systems and networks