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

Akama, Seiki; Kudo, Yasuo; Murai, Tetsuya

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

Inhaltsangabe

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.


Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3030295680
ISBN 13 
9783030295684
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
220
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Deutschland