Title :
A Reduction Algorithm Based on the Degree of Attribute Discernibility
Author :
Zhang, Zheng ; Shao, Xinyu ; Yu, Daoyuan ; Li, Peigen
Abstract :
This paper studies the problem of attribute discernibility reduction and introduces some new concepts to rough set theory, such as secondary core, regeneration matrix and the degree of attribute discernibility. An attribute reduction algorithm has been proposed based on the concept of highest discernibility. The efficacy of this algorithm has been verified by practical application in a diagnostic system of mechanical loader, which displays notably decrease in information gathering requirement and lowers down the overall cost without any loss of accuracy
Keywords :
data analysis; matrix algebra; rough set theory; attribute discernibility reduction; degree of attribute discernibility; diagnostic system; discernibility matrix; mechanical loader; regeneration matrix; rough set theory; secondary core; Costs; Data mining; Databases; Displays; Information science; Knowledge acquisition; Machine learning; Mechanical engineering; Set theory; Uncertainty;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.78
