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

Akama, Seiki; Kudo, Yasuo; Murai, Tetsuya

 
9783030295653: Topics in Rough Set Theory: Current Applications to Granular Computing (Intelligent Systems Reference Library, 168)

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.


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

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.

Other Popular Editions of the Same Title

9783030295677: Topics in Rough Set Theory: Current Applications to Granular Computing

Featured Edition

ISBN 10:  3030295672 ISBN 13:  9783030295677
Publisher: Springer, 2019
Softcover