Topics in Rough Set Theory

Current Applications to Granular Computing
 
 
Springer (Verlag)
  • 1. Auflage
  • |
  • erschienen am 19. September 2020
 
  • Buch
  • |
  • Softcover
  • |
  • 220 Seiten
978-3-030-29568-4 (ISBN)
 
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.
1st ed. 2020
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 1 farbige Abbildung, 13 s/w Abbildungen, 100 farbige Tabellen
  • |
  • 100 Tables, color; 1 Illustrations, color; 13 Illustrations, black and white; XV, 201 p. 14 illus., 1 illus. in color.
  • Höhe: 235 mm
  • |
  • Breite: 155 mm
  • |
  • Dicke: 12 mm
  • 341 gr
978-3-030-29568-4 (9783030295684)
10.1007/978-3-030-29566-0
weitere Ausgaben werden ermittelt
Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.
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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