Topics in Rough Set Theory: Current Applications to Granular Computing
Language: English
Published by Springer, 2019
Series: Book 137 of 188 - Intelligent Systems Reference Library
- Hardcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 177.59
Quantity: 2 available
Add to basketItem description from seller
220 pages. 9.25x6.10x0.71 inches. In Stock.
Seller Inventory # x-3030295656
- Title
- Topics in Rough Set Theory: Current Applications to Granular Computing
- Author
- Akama, Seiki (Author)/ Kudo, Yasuo (Author)/ Murai, Tetsuya (Author)
- Publisher
- Springer
- Publication year
- 2019
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030295656
- ISBN 13
- 9783030295653
- Item weight
- 0.49 kilograms
- 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.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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