Title :
Parallel Reducts in a Series of Decision Subsystems
Author :
Deng, Dayong ; Wang, Jiyi ; Li, Xiangjun
Author_Institution :
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
Abstract :
In the paper we present a new type of attribute reducts in a decision system, which is called parallel reduct. The parallel reduct is the extension of both Pawlak reduct and dynamic reduct. It could be counted by parallel computation, and could be applied to tremendously large data and increase data just like dynamic reducts, but parallel reducts could be got easier than dynamic reducts.
Keywords :
parallel algorithms; rough set theory; Pawlak reduct; attribute reducts; decision subsystems; dynamic reduct; parallel computation; parallel reducts; rough set theory; Concurrent computing; Distributed algorithms; Distributed computing; Educational institutions; Information systems; Mathematics; Physics computing; Rough sets; Set theory; Voting; Attribute Reduct; Dynamic Reducts; Parallel Reducts; Rough Sets;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.250
