Topics In Rough Set Theory: Current Applications To Granular Computing (intelligent Systems Reference Library)
by Seiki Akama /
2019 / English / PDF
2.7 MB Download
This book discusses current topics in rough set theory. Since Pawlaks 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.
