Topics in Rough Set Theory

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Current Applications to Granular Computing, Intelligent Systems Reference Library 168

ISBN: 3030295656
ISBN 13: 9783030295653
Autor: Akama, Seiki/Kudo, Yasuo/Murai, Tetsuya
Verlag: Springer Verlag GmbH
Umfang: xv, 201 S., 13 s/w Illustr., 1 farbige Illustr., 201 p. 14 illus., 1 illus. in color.
Erscheinungsdatum: 19.09.2019
Auflage: 1/2020
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 7820115 Kategorie:

Beschreibung

This book discusses current topics in rough set theory.  Since Pawlaks 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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69121 Heidelberg
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E-Mail: juergen.hartmann@springer.com

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