TY  - GEN
N2  - This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of rough set theory. Next, we examine some relations between rough set theory and non-classical logics including modal logic. We also develop a granularity-based framework for reasoning in which various types of reasoning can be formalized. This book will be of interest to researchers working on the areas in Artificial Intelligence, database and logic.
DO  - 10.1007/978-3-319-72691-5
DO  - doi
AB  - This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of rough set theory. Next, we examine some relations between rough set theory and non-classical logics including modal logic. We also develop a granularity-based framework for reasoning in which various types of reasoning can be formalized. This book will be of interest to researchers working on the areas in Artificial Intelligence, database and logic.
T1  - Reasoning with rough sets :logical approaches to granularity-based framework /
DA  - 2018.
CY  - Cham :
AU  - Akama, Seiki,
AU  - Murai, Tetsuya,
AU  - Kudo, Yasuo,
VL  - volume 142
CN  - QA248
PB  - Springer,
PP  - Cham :
PY  - 2018.
ID  - 825564
KW  - Rough sets.
KW  - Granular computing.
KW  - Data mining.
SN  - 9783319726915
SN  - 3319726919
TI  - Reasoning with rough sets :logical approaches to granularity-based framework /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-72691-5
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-72691-5
ER  -