Multi-Attribute Decision-Making
Theory, Emerging Methods, and Applications
Published on 12. March 2026
456 pages
978-1-040-84532-5 (ISBN)
Description
The book is divided into three parts: theory, emerging methods, and applications. In the theory part, the focus is on explaining the background and concept of multi-attribute decision-making. In the second part, frequently adopted and emerging multi-attribute decision-making methods are explained. The third part provides a deep insight into various methods with the help of numerical examples.
* Covers assessment of cyber-supply chain drivers, rotor failure applications, and data envelopment analysis.
* Illustrates fuzzy technique for order preference by similarity to ideal solution, and complex proportional assessment method.
* Covers practical applications from diverse fields including production engineering, mechanical engineering, and civil engineering.
* Explains circular supply chain management, neutrosophic sets, vague sets, and outsourcing decisions in manufacturing.
* Presents topics such as evidential reasoning, grey relational analysis, and plithogenic sets.
The text is primarily written for graduate students and academic researchers in the fields of mechanical engineering, engineering mathematics, mathematics, engineering design, production engineering, manufacturing engineering, and industrial engineering.
* Covers assessment of cyber-supply chain drivers, rotor failure applications, and data envelopment analysis.
* Illustrates fuzzy technique for order preference by similarity to ideal solution, and complex proportional assessment method.
* Covers practical applications from diverse fields including production engineering, mechanical engineering, and civil engineering.
* Explains circular supply chain management, neutrosophic sets, vague sets, and outsourcing decisions in manufacturing.
* Presents topics such as evidential reasoning, grey relational analysis, and plithogenic sets.
The text is primarily written for graduate students and academic researchers in the fields of mechanical engineering, engineering mathematics, mathematics, engineering design, production engineering, manufacturing engineering, and industrial engineering.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
20 Tables, black and white; 1 Line drawings, black and white; 58 Halftones, black and white; 59 Illustrations, black and white
File size
13,09 MB
ISBN-13
978-1-040-84532-5 (9781040845325)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
approx. 03/2026
1st Edition
CRC Press
€250.30
Not yet published
Person
Rajesh S. Prabhu Gaonkar is presently working as a Professor on Deputation at the School of Mechanical Sciences, Indian Institute of Technology Goa, India. He has published over 75 research papers in various National and International Conferences and Journals; co-authored a book on "Fuzzy Reliability -- Concepts and Applications" (2007) and co-authored a monograph "Six-Sigma: A Key to Enterprise Excellence" (2008). His teaching areas include industrial engineering, operations research, advanced optimization, reliability engineering/ reliability-based design, maintenance engineering and management, operations management, system modeling, and simulation. His research areas include fuzzy set applications in reliability, maintenance engineering, and multi-attribute decision-making.
Content
Chapter 0. Front Matter. Chapter 1. Evaluating Relative Efficiencies of Government Schools in Delhi Region through Data Envelopment Analysis. Chapter 2. Optimizing location, allocation, inventory, and transportation in a circular economy network by using a multi-objective mathematical model. Chapter 3. Grey theory based Ranking framework Towards Successful Industry 4.0 Implementation. Chapter 4. Application of Fuzzy AHP and Fuzzy TOPSIS for establishing priority weight of multiple criteria for building sustainability assessment. Chapter 5. Application of Emerging Uncertainty Theories in MADM/MCDM Problems: A Review. Chapter 6. Practical Application of Multi-Attribute Decision Making in the Oil and Gas Industry. Chapter 7. Deriving Criteria Weights for the Analytical Framework for Grading and Listing Heritage Buildings: Comparative Analysis of AHP and Fuzzy AHP. Chapter 8. Ranking of cricket teams using Multi-Attribute Decision Making approach: BHARAT. Chapter 9. Multi-Objective Optimization for Turning using MOORA & Novel CoCoSO Approach. Chapter 10. A Hybrid MADM Approach Integrating Fuzzy Logic and MOORA. Chapter 11. Optimization of Process Parameters for FSP Surface Modified Al6061reinforced with nano TiAl sheets using TOPSIS Multi Criteria Decision Making (MCDM) Technique. Chapter 12. Multi-attribute optimization of PMEDM process parameters for machining Ti6Al7Nb-a biocompatible alloy. Chapter 13. Integrated Approach for Resilient Supplier Selection: Application of DD-GDA-GT-EMSS Framework. Chapter 14. Dynamic Fermatean Fuzzy Set: Modelling Dynamic Multicriteria Decisions. Chapter 15. Assessment of India's High Ethanol Blending Future using A Fuzzy-AHP and Dempster-Shafer Based Decision Model. Chapter 16. GRA, TOPSIS and DFA Aided Decision Making in Concrete Technology Chapter 17. Analyzing sustainable manufacturing barriers to improve its adoption: a robust best worst method approach.
