Topics in Rough Set Theory

Current Applications to Granular Computing

Seiki Akama, Yasuo Kudo, Tetsuya Murai (Autoren)

Buch | Softcover

XV, 201 Seiten

2020
Springer International Publishing (Verlag)
978-3-030-29568-4 (ISBN)

Infos

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.

Inhalt

Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.

Produkt-Details

• Erscheinungsdatum: 22.09.2020
• Reihe/Serie: Intelligent Systems Reference Library
• Zusatzinfo: XV, 201 p. 14 illus., 1 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Gewicht: 343 g
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik
• Schlagworte: Granular Computing • Granularity Computing • Intelligent Systems • Recommendation Systems • Rough Set Theory
• ISBN-10: 3-030-29568-0 / 3030295680
• ISBN-13: 978-3-030-29568-4 / 9783030295684
• Zustand: Neuware