DocumentCode
1699082
Title
Attribute reduction in inconsistent decision tables based on discernible matrix
Author
Haiyan, Yu ; Xia, Zhang ; Xiaodong, Qiao ; Yunliang, Zhang
Author_Institution
Inf. Sci. Support Center, Inst. of Sci. & Tech. Inf. of China, Beijing, China
fYear
2010
Firstpage
2760
Lastpage
2763
Abstract
A method for attributes reduction in inconsistent decision tables is proposed in this paper. The discernible information in inconsistent decision tables is described with discernible vector array. The attribute reduction tree will generate based on the probability of the attributes which discern two objects. The classification of reduction table is same as that of the initial table.
Keywords
decision tables; decision trees; learning (artificial intelligence); probability; rough set theory; vectors; attribute probability; attribute reduction tree; discernible matrix; discernible vector array; inconsistent decision table; reduction table classification; vector array; Arrays; Finite element methods; Information science; Information systems; Intelligent systems; Set theory; Support vector machine classification; attribute reduction tree; discernible matrix; discernible vector;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554884
Filename
5554884
Link To Document