TY  - GEN
N2  - 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.
AB  - 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.
T1  - Topics in rough set theory :current applications to granular computing /
DA  - 2020.
CY  - Cham :
AU  - Akama, Seiki.
AU  - Kudo, Yasuo.
AU  - Murai, Tetsuya.
VL  - v. 168
CN  - QA248
PB  - Springer,
PP  - Cham :
PY  - 2020.
ID  - 922612
KW  - Rough sets.
KW  - Granular computing.
SN  - 9783030295660
SN  - 3030295664
TI  - Topics in rough set theory :current applications to granular computing /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-29566-0
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-29566-0
ER  -