Overview
- Is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak
- Topics include foundations and applications of rough sets as well as foundations and applications of hybrid methods combining rough sets with other approaches important for the development of intelligent systems
- Includes a chapter on Jan Lukasiewicz and his results on the foundational role as a vehicle for reasoning modes
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10810)
Part of the book sub series: Transactions on Rough Sets (TRS)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
- artificial intelligence
- attribute reduction
- computer software reusability
- data mining
- databases
- Discernibility matrix
- equivalence classes
- equivalence relations
- fuzzy sets
- graph theory
- information management
- information technology
- learning algorithms
- problem solving
- rough set theory
- set theory
- software design
- software engineering
- software evaluation
- theorem proving
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 XXI 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 XXI
Editors: James F. Peters, Andrzej Skowron
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-58768-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2019
Softcover ISBN: 978-3-662-58767-6Published: 12 February 2019
eBook ISBN: 978-3-662-58768-3Published: 01 February 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 325
Number of Illustrations: 85 b/w illustrations, 58 illustrations in colour
Topics: Artificial Intelligence, Data Structures and Information Theory, Mathematics of Computing, The Computing Profession