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Beschreibung
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.
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.
Zusammenfassung

Examines current topics in rough set theory

Discusses recent research issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing

Includes current applications in granular computing

Inhaltsverzeichnis
Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.
Details
Erscheinungsjahr: 2020
Fachbereich: Technik allgemein
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Intelligent Systems Reference Library
Inhalt: xv
201 S.
13 s/w Illustr.
1 farbige Illustr.
201 p. 14 illus.
1 illus. in color.
ISBN-13: 9783030295684
ISBN-10: 3030295680
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Akama, Seiki
Kudo, Yasuo
Murai, Tetsuya
Hersteller: Springer
Springer International Publishing AG
Intelligent Systems Reference Library
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 13 mm
Von/Mit: Seiki Akama (u. a.)
Erscheinungsdatum: 19.09.2020
Gewicht: 0,341 kg
Artikel-ID: 118987070