Topics in Rough Set Theory [electronic resource] : Current Applications to Granular Computing /
Akama, Seiki.author.
Kudo, Yasuo.author.
Murai, Tetsuya.author.
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.
Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.
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.
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.