Overview
- Presents a collection of recent research on topics related to Pythagorean fuzzy set
- Covers cutting-edge theories on applications in decision making and mathematical programming
- Emphasizes novel applications such as medical diagnosis, pattern recognition, construction problems, technology selection, and more
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About this book
This book presents a collection of recent research on topics related to Pythagorean fuzzy set, dealing with dynamic and complex decision-making problems. It discusses a wide range of theoretical and practical information to the latest research on Pythagorean fuzzy sets, allowing readers to gain an extensive understanding of both fundamentals and applications. It aims at solving various decision-making problems such as medical diagnosis, pattern recognition, construction problems, technology selection, and more, under the Pythagorean fuzzy environment, making it of much value to students, researchers, and professionals associated with the field.
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Keywords
Table of contents (16 chapters)
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Front Matter
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Pythagorean Fuzzy Information Measures
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Front Matter
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Pythagorean Fuzzy Multi-criteria Decision-Making
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Front Matter
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Extensions of the Pythagorean Fuzzy Sets
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Front Matter
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Editors and Affiliations
About the editor
HARISH GARG is Associate Professor at the School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India. He completed his Ph.D. in Mathematics from the Indian Institute of Technology Roorkee, India, in 2013. His research interests include soft computing, decision making, aggregation operators, evolutionary algorithm, expert systems, and decision support systems. He has authored around 260 papers, published in international journals of repute, and has supervised 7 Ph.D. dissertations. He is Recipient of the Top-Cited Paper by India-based Author (2015–2019) from Elsevier. He serves as Editor-in-Chief for Annals of Optimization Theory & Practice and Associate Editor for several renowned journals.
Bibliographic Information
Book Title: Pythagorean Fuzzy Sets
Book Subtitle: Theory and Applications
Editors: Harish Garg
DOI: https://doi.org/10.1007/978-981-16-1989-2
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-1988-5Published: 23 July 2021
Softcover ISBN: 978-981-16-1991-5Published: 24 July 2022
eBook ISBN: 978-981-16-1989-2Published: 22 July 2021
Edition Number: 1
Number of Pages: XI, 442
Number of Illustrations: 10 b/w illustrations, 53 illustrations in colour
Topics: Mathematical Logic and Foundations, Artificial Intelligence