Topics in Rough Set Theory
Language: English
Published by Springer Nature Switzerland AG, CH, 2020
Series: Book 137 of 188 - Intelligent Systems Reference Library
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
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Condition: New
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Seller Inventory # LU-9783030295684
- Title
- Topics in Rough Set Theory
- Author
- Seiki Akama, Yasuo Kudo, Tetsuya Murai
- Publisher
- Springer Nature Switzerland AG, CH
- Publication year
- 2020
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3030295680
- ISBN 13
- 9783030295684
- Edition
- 2020 ed.
- Series
- Book 137 of 188: Intelligent Systems Reference Library
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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