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商品詳細
Topics in Rough Set Theory: Current Applications to Granular Computing. 2020 ed.
・ISBN 978-3-030-29568-4 paper EUR 99.99
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お気に入り
★★★
| 著者・編者 | Akama, Seiki / Kudo, Yasuo / Murai, Tetsuya, |
|---|---|
| シリーズ | (Intelligent Systems Reference Library) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 201 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-76381＞ |
解説
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.