Overview
- Provides theories and techniques to model several types of hesitant fuzzy information
- Introduces techniques to solve group decision-making, uncertain reasoning, and regression analysis problems
- Identifies the approaches by practical applications, such as the route selection of arctic northwest passage
Part of the book series: Uncertainty and Operations Research (UOR)
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Table of contents (6 chapters)
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Front Matter
Keywords
About this book
This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.
Authors and Affiliations
About the authors
Zeshui Xu received the Ph. D degree in management science and engineering from Southeast University, Nanjing, China, in 2003.From October 2005 to December 2007, he was a Postdoctoral Researcher with School of Economics and Management, Tsinghua University, China. He was a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholar of the Ministry of Education of China. He is currently a Professor with the Business School, Sichuan University, Chengdu. He has been elected as Academician of IASCYS, Fellow of IEEE, IFSA, RSA, IET, ORS, BCS, VEBLEO, IAAM, AAIA, and ranked 30th in 2019 single year scientific impact and 258th in career scientific impact among World’s top 100,000 Scientists, and ranked 57th among World’s top 1,000 Scientists in Computer Science & Electronics in 2020. He has published 17 monographs by Springer and contributed more than 650 SCI/SSCI articles to professional journals. He is among the world’s top 1% most highly cited researchers with about 67,000 citations in Google Scholar, his h-index is 133. He is currently the Associate Editors of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Access, Information Sciences, Artificial Intelligence Review, Cognitive Computation, Applied Intelligence, Journal of the Operational Research, Fuzzy Optimization and Decision Making, etc. His current research interests include Decision-making theory and methodology, optimization algorithms, information fusion, and big data analytics.
Bibliographic Information
Book Title: Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications
Authors: Chenyang Song, Zeshui Xu
Series Title: Uncertainty and Operations Research
DOI: https://doi.org/10.1007/978-981-16-5800-6
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-5799-3Published: 04 October 2021
Softcover ISBN: 978-981-16-5802-0Published: 06 October 2022
eBook ISBN: 978-981-16-5800-6Published: 03 October 2021
Series ISSN: 2195-996X
Series E-ISSN: 2195-9978
Edition Number: 1
Number of Pages: XII, 176
Number of Illustrations: 21 b/w illustrations, 13 illustrations in colour
Topics: Operations Research/Decision Theory, Risk Management, Computer Science, general