Authors:
- Offers a systematic introduction to hesitant fuzzy methods for decision making
- Describes real-life applications of new methods developed by the authors
- Reports on novel hesitant fuzzy elements theories developed by the authors
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 345)
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Table of contents (6 chapters)
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Front Matter
About this book
The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.
Keywords
- Hesitant Fuzzy Information
- Hesitant Fuzzy MCDM Problems
- Hesitant Index of HFE
- Hesitant Fuzzy QUALIFLEX
- Incomplete Weight Information
- Hesitant Fuzzy TOPSIS
- Ranking Methods of HFEs
- Hesitant Fuzzy TODIM
- Hesitant Fuzzy Programming Model
- Hesitant Fuzzy LINMAP
- Ordinal/Cardinal Consensus Index
- Consensus Model for Group Decision Making
- Heterogeneous MCGDM Problems
- Deviation Modeling Method
Reviews
Authors and Affiliations
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The Collaborative Innovation Center, Jiangxi University of Finance and Economics, Nanchang, China
Xiaolu Zhang
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Business School, Sichuan University, Chengdu, China
Zeshui Xu
Bibliographic Information
Book Title: Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis
Authors: Xiaolu Zhang, Zeshui Xu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-42001-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-42000-4Published: 17 October 2016
Softcover ISBN: 978-3-319-82476-5Published: 16 June 2018
eBook ISBN: 978-3-319-42001-1Published: 08 October 2016
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XV, 191
Number of Illustrations: 3 b/w illustrations, 3 illustrations in colour
Topics: Computational Intelligence, Operations Research, Management Science, Operations Research/Decision Theory, Artificial Intelligence