Title :
An attribute fast reduction algorithm based on modified discernable matrix of S-rough sets
Author :
Gu, Guo-dong ; Zhang, Yong-Shun ; Hu, Jun-hong ; Shen, Kai
Author_Institution :
Missile Inst., Air Force Eng. Univ., Sanyuan
Abstract :
To the information system which possesses dynamic characteristic, the discernable matrix of S-rough set is put forward based on S-rough set attribute transfer theory, and a new fast attribute reduction algorithm is presented based on discernable matrix of S-rough set in this paper. The algorithm makes up the localization of Z.Pawlak rough set theory in disposing dynamic system knowledge discovery, the incomplete information system is extended by attribute transfer, then reduction rules can be obtained simply; as a result, the algorithm complexity is reduced greatly.
Keywords :
computational complexity; data mining; matrix algebra; rough set theory; algorithm complexity; attribute fast reduction algorithm; dynamic characteristics; dynamic system knowledge discovery; information system; modified discernable matrix of S-rough set; reduction rules; transfer theory; Decision making; Fuzzy set theory; Information systems; Mathematics; Missiles; Rough sets; Set theory; S-rough set; attribute reduction; attribute transfer; discernable matrix; rough sets;
Conference_Titel :
Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
Conference_Location :
Taizhou
Print_ISBN :
978-1-4244-3987-4
DOI :
10.1109/IASP.2009.5054610