Authors:
- Offers a comprehensive introduction to the field of fuzzy relational mathematical problems
- Includes extensive information on the theory and applications of fuzzy geometric programming
- Describes numerous models to solve different kind of optimization problems
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 389)
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Table of contents (9 chapters)
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Front Matter
About this book
This book summarizes years of research in the field of fuzzy relational programming, with a special emphasis on geometric models. It discusses the state-of-the-art in fuzzy relational geometric problems, together with key open issues that must be resolved to achieve a more efficient application of this method. Though chiefly based on research conducted by the authors, who were the first to introduce fuzzy geometric problems, it also covers important findings obtained in the field of linear and non-linear programming. Thanks to its balance of basic and advanced concepts, and its wealth of practical examples, the book offers a valuable guide for both newcomers and experienced researcher in the fields of soft computing and mathematical optimization.
Authors and Affiliations
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University of Foshan, Foshan, China
Bing-Yuan Cao
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College of Science, Shenyang Agricultural University, Shenyang, China
Ji-Hui Yang
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School of Financial Mathematics and Statistics, Guangdong University of Finance, Guangzhou, China
Xue-Gang Zhou
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Higher Education Mega Center, Guangzhou University, Guangzhou, China
Zeinab Kheiri, Faezeh Zahmatkesh
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Department of Mathematics and Statistics, Hanshan Normal University, Chaozhou, China
Xiao-Peng Yang
Bibliographic Information
Book Title: Fuzzy Relational Mathematical Programming
Book Subtitle: Linear, Nonlinear and Geometric Programming Models
Authors: Bing-Yuan Cao, Ji-Hui Yang, Xue-Gang Zhou, Zeinab Kheiri, Faezeh Zahmatkesh, Xiao-Peng Yang
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-33786-5
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-33784-1Published: 05 December 2019
eBook ISBN: 978-3-030-33786-5Published: 22 November 2019
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIII, 245
Number of Illustrations: 12 b/w illustrations
Topics: Computational Intelligence, Operations Research, Management Science, Artificial Intelligence, Programming Techniques