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Englisch
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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 |