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Topics in Rough Set Theory: Current Applications to Granular Computing (Intelligent Systems Reference Library, 168) - Softcover

Book 137 of 188: Intelligent Systems Reference Library

Akama, Seiki; Kudo, Yasuo; Murai, Tetsuya

 
9783030295684: Topics in Rough Set Theory: Current Applications to Granular Computing (Intelligent Systems Reference Library, 168)
Softcover
ISBN 10: 3030295680 ISBN 13: 9783030295684
Publisher: Springer, 2020

Synopsis

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.


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From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2020
Language
English
ISBN 10 
3030295680
ISBN 13 
9783030295684
Binding
Paperback
Number of pages
216