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Topics in Rough Set Theory: Current Applications to Granular Computing (Paperback)

by Seiki Akama, Yasuo Kudo, Tetsuya Murai

Springer

Paperback 220 pages English Sep 19, 2020

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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.
Author:
Seiki Akama, Yasuo Kudo, Tetsuya Murai
Publisher:
Springer
Publication Date:
Sep 19, 2020
Number of pages:
220 pages
Language:
English
Binding:
Paperback
ISBN-10:
3030295680
ISBN-13:
9783030295684