TY  - GEN
N2  - The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XVII is a continuation of a number of research streams which have grown out of the seminal work by Zdzislaw Pawlak during the first decade of the 21st century. The research streams represented in the papers cover both theory and applications of rough, fuzzy and near sets as well as their combinations.
DO  - 10.1007/978-3-642-54756-0
DO  - doi
AB  - The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XVII is a continuation of a number of research streams which have grown out of the seminal work by Zdzislaw Pawlak during the first decade of the 21st century. The research streams represented in the papers cover both theory and applications of rough, fuzzy and near sets as well as their combinations.
T1  - Transactions on rough sets XVII
AU  - Peters, James F.
AU  - Skowron, Andrzej.
VL  - 8375
CN  - SpringerLink
CN  - Q337.5
ID  - 722541
KW  - Rough sets.
KW  - Computer science.
KW  - Electronic data processing.
KW  - Artificial intelligence.
KW  - Optical pattern recognition.
SN  - 9783642547560
SN  - 3642547567
TI  - Transactions on rough sets XVII
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-642-54756-0
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-642-54756-0
ER  -