Topics in Rough Set Theory
Current Applications to Granular Computing
Published on 19. September 2019
Book
Hardback
XV, 201 pages
978-3-030-29565-3 (ISBN)
Description
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.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
13 s/w Abbildungen, 1 farbige Abbildung
XV, 201 p. 14 illus., 1 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 18 mm
Weight
500 gr
ISBN-13
978-3-030-29565-3 (9783030295653)
DOI
10.1007/978-3-030-29566-0
Schweitzer Classification
Other editions
Additional editions
Seiki Akama | Yasuo Kudo | Tetsuya Murai
Topics in Rough Set Theory
Current Applications to Granular Computing
Book
09/2020
Springer
€106.99
Shipment within 7-9 days
Seiki Akama | Yasuo Kudo | Tetsuya Murai
Topics in Rough Set Theory
Current Applications to Granular Computing
E-Book
09/2019
1st Edition
Springer
€96.29
Available for download
Content
Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.