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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Seik Akama, Seiki Akama, Yasu Kudo, Yasuo Kudo, Tetsuya Murai
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.12.2019
• EAN: 9783030295653
• ISBN: 978-3-0-3029565-3
• Pagine: 201
• Dimensioni: 158 mm x 252 mm x 19 mm
• Peso: 467 g
• Illustrazioni: XV, 201 p. 14 illus., 1 illus. in color.
• Serie: Intelligent Systems Reference Library
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; B, Artificial Intelligence, engineering, Computational Intelligence, Granular Computing