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Topics in Rough Set Theory: Current Applications to Granular Computing - Intelligent Systems Reference Library Seiki Akama 2020 edition
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Topics in Rough Set Theory: Current Applications to Granular Computing - Intelligent Systems Reference Library
Seiki Akama
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.
201 pages, 100 Tables, color; 1 Illustrations, color; 13 Illustrations, black and white; XV, 201 p.
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2019年9月19日 |
| ISBN13 | 9783030295653 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 201 |
| 寸法 | 150 × 220 × 20 mm · 500 g |
| 言語 | ドイツ語 |
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