Overview
- Covers cutting-edge theories concerning interval-valued intuitionistic fuzzy sets
- Gives emphasis to some novel applications
- Offers a thorough introduction to relations and operations on interval valued intuitionistic fuzzy sets
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 388)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
- Intuitionistic Fuzzy Sets
- Intuitionistic Fuzzy Logic
- Interval Valued Intuitionistic Fuzzy Sets
- Interval Valued Intuitionistic Fuzzy Logic
- Interval Valued Intuitionistic Fuzzy Modal Operators
- Interval Valued Intuitionistic Fuzzy Graphs
- Interval Data
- Applications of Interval-valued Intuitionistic Fuzzy Sets
- Knowledge Discovery from Data
- Intuitionistic Fuzzy Inductive Reasoning
- Intercriteria Decision Making
- Intuitionistic Fuzzy Expert Systems
- Index Matrices
About this book
The book offers the first comprehensive guide on interval-valued intuitionistic fuzzy sets. By providing the readers with a thorough survey and important practical details, it is expected to support them in carrying out applied research and to encourage them to test the theory behind the sets for new advanced applications. The book is a valuable reference resource for graduate students and researchers alike.
Authors and Affiliations
About the author
He has been serving as E-i-C of different journals. He is the author of numerous monographs, including the book Intuitionistic Fuzzy Logics (Springer, 2017).
Bibliographic Information
Book Title: Interval-Valued Intuitionistic Fuzzy Sets
Authors: Krassimir T. Atanassov
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-32090-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-32089-8Published: 02 October 2019
Softcover ISBN: 978-3-030-32092-8Published: 02 October 2020
eBook ISBN: 978-3-030-32090-4Published: 21 September 2019
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XI, 200
Number of Illustrations: 68 b/w illustrations, 1 illustrations in colour
Topics: Computational Intelligence, Knowledge based Systems, Operations Research, Management Science, Pattern Recognition