Topics in Rough Set Theory: Current Applications to Granular Computing

Seiki Akama · Yasuo Kudo · Tetsuya Murai

сент. 2019 г. · Intelligent Systems Reference Library Книга 168 · Springer Nature

Об электронной книге

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.