Authors:
- Examines current topics in rough set theory
- Discusses recent research issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing
- Includes current applications in granular computing
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 168)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
This book discusses current topics in rough set theory. Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.
Authors and Affiliations
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C-Republic, Kawasaki, Japan
Seiki Akama
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Muroran Institute of Technology, Muroran, Japan
Yasuo Kudo
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Chitose Institute of Science and Technology, Chitose, Japan
Tetsuya Murai
Bibliographic Information
Book Title: Topics in Rough Set Theory
Book Subtitle: Current Applications to Granular Computing
Authors: Seiki Akama, Yasuo Kudo, Tetsuya Murai
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-29566-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-29565-3Published: 19 September 2019
Softcover ISBN: 978-3-030-29568-4Published: 19 September 2020
eBook ISBN: 978-3-030-29566-0Published: 10 September 2019
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XV, 201
Number of Illustrations: 13 b/w illustrations, 1 illustrations in colour