Overview
- Is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak
- Features selected papers from the Fuzzy and Rough Sets Association Meeting in 2021
- The volume also includes thoroughly reviewed PhD theses dedicated to the rough set approach
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13610)
Part of the book sub series: Transactions on Rough Sets (TRS)
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Table of contents (9 chapters)
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Front Matter
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FRSA 2021 Conference Papers
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Front Matter
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Regular Paper
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Front Matter
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Back Matter
Keywords
- artificial intelligence
- attribute reduction
- correlation analysis
- data communication systems
- data mining
- databases
- decision theory
- distributed computer systems
- fuzzy logic
- fuzzy sets
- fuzzy systems
- knowledge-based system
- machine learning
- matrix algebra
- ontologies
- rough approximations
- rough set theory
- semantics
- software engineering
- variable precision rough sets
About this book
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.
Volume XXIII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Rough Sets XXIII
Editors: James F. Peters, Andrzej Skowron, Rabi Nanda Bhaumik, Sheela Ramanna
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-66544-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2022
Softcover ISBN: 978-3-662-66543-5Published: 02 January 2023
eBook ISBN: 978-3-662-66544-2Published: 01 January 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 509
Number of Illustrations: 99 b/w illustrations, 55 illustrations in colour
Topics: Computer Applications, Mathematical Logic and Formal Languages, Data Mining and Knowledge Discovery, Artificial Intelligence, Software Engineering