Overview
- Highlights recent research on the double hierarchy linguistic term set and its extensions
- Presents methodologies and applications to practical decision-making problems under different double hierarchy linguistic environments
- Is suitable for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, and management science and engineering
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 396)
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Table of contents (5 chapters)
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Front Matter
Keywords
About this book
This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications.
Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.
Authors and Affiliations
Bibliographic Information
Book Title: Double Hierarchy Linguistic Term Set and Its Extensions
Book Subtitle: Theory and Applications
Authors: Xunjie Gou, Zeshui Xu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-51320-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-51319-1Published: 24 June 2020
Softcover ISBN: 978-3-030-51322-1Published: 24 June 2021
eBook ISBN: 978-3-030-51320-7Published: 23 June 2020
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XI, 195
Number of Illustrations: 4 b/w illustrations, 30 illustrations in colour
Topics: Computational Intelligence, Computational Linguistics, Artificial Intelligence
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