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

Buch 137 von 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, 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.


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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.

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Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3030295680
ISBN 13 
9783030295684
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
220
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