Biologically Inspired Techniques in Many-Criteria Decision Making In
This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these prob
- PDF / 22,164,722 Bytes
- 268 Pages / 453.544 x 683.151 pts Page_size
- 2 Downloads / 278 Views
Satchidananda Dehuri Bhabani Shankar Prasad Mishra Pradeep Kumar Mallick Sung-Bae Cho Margarita N. Favorskaya Editors
Biologically Inspired Techniques in Many-Criteria Decision Making International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)
Learning and Analytics in Intelligent Systems Volume 10
Series Editors George A. Tsihrintzis, University of Piraeus, Piraeus, Greece Maria Virvou, University of Piraeus, Piraeus, Greece Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; University of Canberra, Canberra, ACT, Australia; KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The main aim of the series is to make available a publication of books in hard copy form and soft copy form on all aspects of learning, analytics and advanced intelligent systems and related technologies. The mentioned disciplines are strongly related and complement one another significantly. Thus, the series encourages cross-fertilization highlighting research and knowledge of common interest. The series allows a unified/integrated approach to themes and topics in these scientific disciplines which will result in significant cross-fertilization and research dissemination. To maximize dissemination of research results and knowledge in these disciplines, the series publishes edited books, monographs, handbooks, textbooks and conference proceedings.
More information about this series at http://www.springer.com/series/16172
Satchidananda Dehuri Bhabani Shankar Prasad Mishra Pradeep Kumar Mallick Sung-Bae Cho Margarita N. Favorskaya •
•
•
•
Editors
Biologically Inspired Techniques in Many-Criteria Decision Making International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)
123
Editors Satchidananda Dehuri Department of Information and Communication Technology Fakir Mohan University Balasore, Odisha, India Pradeep Kumar Mallick School of Computer Engineering KIIT Deemed to be University Bhubaneswar, Odisha, India
Bhabani Shankar Prasad Mishra School of Computer Engineering KIIT Deemed to be University Bhubaneswar, Odisha, India Sung-Bae Cho Department of Computer Science Yonsei University Seoul, Korea (Republic of)
Margarita N. Favorskaya Institute of Informatics and Telecommunications Reshetnev Siberian State University of Science and Technology Krasnoyarsk, Russia
ISSN 2662-3447 ISSN 2662-3455 (electronic) Learning and Analytics in Intelligent Systems ISBN 978-3-030-39032-7 ISBN 978-3-030-39033-4 (eBook) https://doi.org/10.1007/978-3-030-39033-4 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and
