Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library)
Language: English
Published by Springer, 2020
Series: Book 137 of 188 - Intelligent Systems Reference Library
- Softcover
- New
Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
AbeBooks seller since November 22, 2018
Condition: New
US$ 161.56
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pp. XV, 201 14 illus., 1 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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- Title
- Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library)
- Author
- Akama, Seiki; Kudo, Yasuo; Murai, Tetsuya
- Publisher
- Springer
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030295680
- ISBN 13
- 9783030295684
- 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.
Books Puddle
Woodside, NY, U.S.A.
AbeBooks seller since November 22, 2018
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