Overview
- The first book comprehensively covering spherical fuzzy sets
- Reports on cutting-edge applications in decision making
- Includes a large set of numerical examples
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 392)
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Table of contents (22 chapters)
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Front Matter
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Preliminaries of Spherical Fuzzy Set Theory
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Front Matter
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Spherical Fuzzy Multi-criteria Decision Making
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Front Matter
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Keywords
- Multi-valued spherical fuzzy sets
- Intuitionistic Fuzzy Sets
- Neutrosophic Sets
- Pythagorean Fuzzy Sets
- Power aggregation operators
- Spherical representation
- Spherical distance
- Fuzzy Analytic Hierarchy Process
- Multi-valued spherical fuzzy sets
- Fuzzy Multi-Criteria Decision Making
- Data Envelopment Analysis with Spherical Fuzzy Sets
- Interval Spherical Sets
- Optimal site selection
- Spherical fuzzy linear programming
- Spherical fuzzy geometric programming
- Engineering Economics
About this book
This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems. It also demonstrates that these sets provide a larger preference volume in 3D space for decision-makers. Written by authoritative researchers, the various chapters cover a large amount of theoretical and practical information, allowing readers to gain an extensive understanding of both the fundamentals and applications of spherical fuzzy sets in intelligent decision-making and mathematical programming.
Editors and Affiliations
Bibliographic Information
Book Title: Decision Making with Spherical Fuzzy Sets
Book Subtitle: Theory and Applications
Editors: Cengiz Kahraman, Fatma Kutlu Gündoğdu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-45461-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-45460-9Published: 28 May 2020
Softcover ISBN: 978-3-030-45463-0Published: 29 May 2021
eBook ISBN: 978-3-030-45461-6Published: 27 May 2020
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXIX, 532
Number of Illustrations: 29 b/w illustrations, 27 illustrations in colour
Topics: Computational Intelligence, Operations Research, Management Science, Engineering Economics, Organization, Logistics, Marketing, Operations Research/Decision Theory