Hardback (19 Sep 2019)
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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.
| ISBN: | 9783030295653 |
| Publisher: | Springer International Publishing |
| Imprint: | Springer |
| Pub date: | 19 Sep 2019 |
| Language: | English |
| Number of pages: | 201 |
| Weight: | 500g |
| Height: | 235mm |
| Width: | 155mm |
| Spine width: | 14mm |
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