Title :
Dual-Universe Rough Sets Model Based on Pansystems
Author :
Yuan, Xiaojuan ; Lin, He ; Mao, Liankui ; Yang, Xiao
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
Abstract :
Attribute reduction and decision rules are the key questions of rough set theory. Rough sets has developed to quite a matured level in a single universe of research, however, there are nearly no researches about rough set theory of dual-universe based on multiple information system. In response to this, this paper puts forward reduction methods of rough sets based on dual-universe, decision rules and its procedure and methods. It shows that this study is effective through examples.
Keywords :
data reduction; database theory; duality (mathematics); rough set theory; attribute reduction; database table; decision rule; dual-universe rough set model; forward reduction method; multiple information system; pansystem; Data mining; Databases; Helium; Information science; Information systems; Machine learning; Rough sets; Set theory; Pansystems; accuracy; attribute reduction; decision rule; rough sets;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.77
