Overview
- Offers a self-contained introduction to the field of hesitant fuzzy decision-making
- Presents state-of-the-art in hesitant fuzzy decision-making methodologies and applications
- Written by leading experts in the field of operation research and decision theory
- Includes supplementary material: sn.pub/extras
Part of the book series: Uncertainty and Operations Research (UOR)
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Table of contents (6 chapters)
Authors and Affiliations
About the authors
Zeshui Xu 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 the Business School, Sichuan University, Chendu, China. He has been selected as a 2014 and 2015 Thomson Reuters Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively) and also included in The World's Most Influential Scientific Minds 2014. His h-index is 87, and he has authored the following books: Uncertain Multiple Attribute Decision-making: Methods and Applications (Tsinghua Univ. Press, 2004); Intuitionistic Fuzzy Information Aggregation: Theory and Applications (Science Press and Springer, 2012), Linguistic Decision-making: Theory and Methods (Science Press and Springer, 2012); Intuitionistic Fuzzy Preference Modeling and Interactive Decision-making (Springer, 2013); Intuitionistic Fuzzy Aggregation and Clustering (Springer, 2013); and Hesitant Fuzzy Sets Theory (Springer, 2014). He has contributed more than 450 articles to professional journals. His current research interests include information fusion, group decision-making, computing with words, and aggregation operators. Prof. Xu is the Associate Editor of Fuzzy Optimization and Decision-making, the Journal of Intelligence Systems, the Section Editor of the Asian Journal of Social and Economic Sciences, and the Chief Editor of the Scholars Journal of Economics, Business and Management.
Bibliographic Information
Book Title: Hesitant Fuzzy Decision Making Methodologies and Applications
Authors: Huchang Liao, Zeshui Xu
Series Title: Uncertainty and Operations Research
DOI: https://doi.org/10.1007/978-981-10-3265-3
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-3264-6Published: 06 January 2017
Softcover ISBN: 978-981-10-9829-1Published: 14 July 2018
eBook ISBN: 978-981-10-3265-3Published: 27 December 2016
Series ISSN: 2195-996X
Series E-ISSN: 2195-9978
Edition Number: 1
Number of Pages: XIII, 275
Number of Illustrations: 11 b/w illustrations, 8 illustrations in colour
Topics: Operations Research/Decision Theory, Computational Intelligence, Operating Systems