Authors:
- Provides a comprehensive overview of type-2 fuzzy sets and its extension
- Reviews type-2 fuzzy aggregation operations and ranking methods
- Illustrates type-2 fuzzy multiple criteria decsion making methods using case studies
Part of the book series: Uncertainty and Operations Research (UOR)
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Table of contents (11 chapters)
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Front Matter
About this book
Reviews
“The book is well-written. … This book is a very valuable contribution to the field of multiple criteria decision making. I can recommend it to the practitioners dealing in their professional life with MCDM (e.g. managers and engineers) but also to the researchers in the area and students of mathematics, IT, engineering or management.” (Marcin Anholcer, zbMATH 1447.91002, 2020)
Authors and Affiliations
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School of Management, Wuhan University of Technology, Wuhan, China
Jindong Qin
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School of Economics and Management, Southeast University, Nanjing, China
Xinwang Liu
About the authors
Xinwang Liu is currently a Professor with the Department of Management Science and Engineering, School of Economics and Management, Southeast University. He has authored or coauthored more than 100 publications of journals and international conferences. His research interests include type-2 fuzzy logic, aggregation operators, recommend systems and fuzzy decision making.
Bibliographic Information
Book Title: Type-2 Fuzzy Decision-Making Theories, Methodologies and Applications
Authors: Jindong Qin, Xinwang Liu
Series Title: Uncertainty and Operations Research
DOI: https://doi.org/10.1007/978-981-13-9891-9
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-9890-2Published: 22 August 2019
Softcover ISBN: 978-981-13-9893-3Published: 23 August 2020
eBook ISBN: 978-981-13-9891-9Published: 09 August 2019
Series ISSN: 2195-996X
Series E-ISSN: 2195-9978
Edition Number: 1
Number of Pages: XV, 271
Number of Illustrations: 14 b/w illustrations, 29 illustrations in colour
Topics: Applied Statistics, Methodology of the Social Sciences, Science and Technology Studies