Topics In Rough Set Theory: Current Applications To Granular Computing (Intelligent Systems Reference Library, 168)

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.

• | Author: Seiki Akama, Yasuo Kudo, Tetsuya Murai
• | Publisher: Springer
• | Publication Date: Sep 19, 2019
• | Number of Pages: 216 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 3030295656
• | ISBN-13: 9783030295653