| Topics in Rough Set Theory: Current Applications to Granular Computing 2020 Edition Contributor(s): Akama, Seiki (Author), Kudo, Yasuo (Author), Murai, Tetsuya (Author) |
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ISBN: 3030295656 ISBN-13: 9783030295653 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: September 2019 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| Series: Intelligent Systems Reference Library |
| Physical Information: 0.56" H x 6.14" W x 9.21" (1.07 lbs) 201 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |