Topics in Rough Set Theory / Intelligent Systems Reference Library Bd.168 (PDF)
Current Applications to Granular Computing
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Seiki Akama , Yasuo Kudo , Tetsuya Murai
- 2019, 1st ed. 2020, 201 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030295664
- ISBN-13: 9783030295660
- Erscheinungsdatum: 10.09.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.74 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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