Topics in Rough Set Theory - Current Applications to Granular Computing

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.

Sommario

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

Dettagli sul prodotto

• Autori: Seik Akama, Seiki Akama, Yasu Kudo, Yasuo Kudo, Tetsuya Murai
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.09.2020
• EAN: 9783030295684
• ISBN: 978-3-0-3029568-4
• Pagine: 201
• Dimensioni: 160 mm x 10 mm x 240 mm
• Illustrazioni: XV, 201 p. 14 illus., 1 illus. in color.
• Serie: Intelligent Systems Reference Library
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie