Topics in Rough Set Theory. Current Applications to Granular Computing

Topics in Rough Set Theory. Current Applications to Granular Computing Seiki Akama, Yasuo Kudo, Tetsuya Murai
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. Categories:
Computers – Computer Science
Year:
2020
Publisher:
Springer
Language:
english
Pages:
208
ISBN 10:
3030295656
ISBN 13:
9783030295653
File:
73 MB