Overview
- Introduces a new intuitionistic fuzzy decision-making method based on a new distance measure and similarity measure for the intuitionistic fuzzy set
- Presents two types of intuitionistic fuzzy dynamic decision-making method based on Bayesian networks and decision fields, which are rarely covered in related research
- Discusses the probabilistic dual hesitant fuzzy set and its properties and applications in decision-making
Part of the book series: Uncertainty and Operations Research (UOR)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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. He is a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholars of the Ministry of Education of China. He is currently a Professor with Business School, Sichuan University, Chengdu, China. He has contributed more than 450 journal articles to professional journals, and his current research interests include information fusion, decision making, and fuzzy sets.
Hua Zhao received the Ph.D. degree in military operation research from PLA University of Science and Technology, Nanjing, China, in 2011. She is currently an Associated Professor with Department of General Education, Army Engineering University of PLA, Nanjing, China. She has contributed more than 30 journal articles to professional journals, and her current research interests include clustering analysis, decision making and fuzzy sets.
Bibliographic Information
Book Title: Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications
Authors: Zhinan Hao, Zeshui Xu, Hua Zhao
Series Title: Uncertainty and Operations Research
DOI: https://doi.org/10.1007/978-981-15-3891-9
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-3890-2Published: 15 March 2020
Softcover ISBN: 978-981-15-3893-3Published: 15 March 2021
eBook ISBN: 978-981-15-3891-9Published: 14 March 2020
Series ISSN: 2195-996X
Series E-ISSN: 2195-9978
Edition Number: 1
Number of Pages: IX, 121
Number of Illustrations: 16 b/w illustrations, 9 illustrations in colour
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Methodology of the Social Sciences