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  • © 2022

Multiple Criteria Decision Making

Techniques, Analysis and Applications

  • Discusses the applications and methodologies of the MCDM techniques

  • Provides guideline to MCDM researchers for dealing with the complexities and modalities

  • Focuses on critical literature, underlying principles of methods and models, solution approaches, testing and validation

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 407)

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  • ISBN: 978-981-16-7414-3
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Hardcover Book USD 169.99
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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxvii
  2. MIVES: A Multi-Attribute Value Function-Based Methodology for Sustainability Assessment

    • Divyajyoti Biswal, Saurabh N. Joglekar, Sachin A. Mandavgane
    Pages 1-16
  3. Base Criterion Method (BCM)

    • Gholamreza Haseli, Reza Sheikh
    Pages 17-38
  4. Why Does the Choice of Normalization Technique Matter in Decision-Making

    • Andrii Shekhovtsov, Aleksandra Kaczyńska, Wojciech Sałabun
    Pages 107-120
  5. The COMET Method: Study Case of Swimming Training Progress

    • Jakub Wiȩckowski, Jarosław Watróbski
    Pages 153-168
  6. Brown–Gibson Model as a Multi-criteria Decision Analysis (MCDA) Method: Theoretical and Mathematical Formulations, Literature Review, and Applications

    • Nasser Yimen, Theodore Tchotang, Abraham Kanmogne, Yungho Adamu, Fombe Lawrence Fon, Mustafa Dagbasi
    Pages 169-191
  7. A Grey Approach for the Computation of Interactions Between Two Groups of Irrelevant Variables of Decision Matrices

    • Shervin Zakeri, Naoufel Cheikhrouhou, Dimitri Konstantas, Fereshteh Sattari Barabadi
    Pages 193-222
  8. Statistical Analysis of KMM Program—An Educational Intervention

    • Anagha Vijay Vaidya, Shilpa Bhaskar Mujumdar, Shailaja Shirwaikar, Aradhana Kulkarni
    Pages 223-242

About this book

The book discusses state-of-the-art applications and methodologies of the Multiple Criteria Decision Making (MCDM) techniques and approaches. The book focuses on critical literature, underlying principles of methods and models, solution approaches, testing and validation, real-world applications, case studies, etc. The book helps evaluate strategic decision-making through advanced MCDM and integrated approaches of AI, big data, and IoT to provide realistic and robust solutions to the current problems. The book will be a guideline to the potential MCDM researchers about the choice of approaches for dealing with the complexities and modalities. The contributions of the book help readers to explore new avenues leading towards multidisciplinary research discussions. This book will be interesting for engineers, scientists, and students studying/working in the related areas.


Keywords

  • Group Decision Making
  • Advances in MCDM Theory
  • Multi-objective Game Theory
  • Multiple Criteria Decision Aiding
  • Behavioral Issues in Decision Making
  • MCDM under Uncertainty
  • MCDM in Education

Editors and Affiliations

  • Institute of Artificial Intelligence, MIT World Peace University, Pune, India

    Anand J. Kulkarni

About the editor

Anand J Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore, MS in Artificial Intelligence from the University of Regina, Canada, Bachelor of Engineering from Shivaji University, India, and Diploma from the MSBTE, Mumbai. He worked as a Post Doctorate Research Fellow at Odette School of Business, University of Windsor, Canada. Dr. Kulkarni has worked with Symbiosis International University, Pune, India for over six years. Currently, he is a Professor & Associate Director at the Institute of AI at MITWPU. His research interests include optimization algorithms, multi-agent systems, complex systems, swarm optimization, and self-organizing systems. Anand pioneered socio-inspired optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, and Socio Evolution & Learning Optimization Algorithm. He is the founder and chairman of Optimization and Agent Technology Research Lab and has over 70 research papers in journals and conferences, 04 authored and 08 edited books to his credit. Dr. Kulkarni is the lead editor for the Springer and Taylor and Francis book series. He regularly writes on Artificial Intelligence in several newspapers and magazines. Dr. Kulkarni has delivered expert research talks in many countries such as the USA, Canada, Singapore, Malaysia, India, and France.


Bibliographic Information

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-981-16-7414-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 169.99
Price excludes VAT (USA)