Topics in Rough Set Theory
Current Applications to Granular Computing| By: | Seiki Akama; Yasuo Kudo; Tetsuya Murai |
| Publisher: | Springer Nature |
| Print ISBN: | 9783030295653 |
| eText ISBN: | 9783030295660 |
| Edition: | 0 |
| Copyright: | 2020 |
| Format: | Reflowable |
Lifetime - $123.75
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Details
Table of Contents
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.