Topics in Rough Set Theory: Current Applications to Granular Computing
Topics in Rough Set Theory: Current Applications to Granular Computing by Seiki Akama
English | EPUB | 2020 | 208 Pages | ISBN : 3030295656 | 14 MB
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.