Title :
A New Method of Data Reduction in Inconsistent Decision Tables
Author :
Deng, Shaobo ; Li, Min ; Guan, SuJie ; Chen, Lian
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanchang Inst. of Technol., Nanchang, China
Abstract :
For inconsistent decision tables, this paper presents a new data reduction idea. Compared with the traditional data reduction method, the first step in this paper is attribute value reduction, then this paper simply deletes the inconsistent individuals sets. The last step is attribute reduction, which could avoid the negative factor of inconsistent individuals set.
Keywords :
data reduction; decision tables; attribute value reduction; data reduction; inconsistent decision tables; inconsistent individuals set; Cognition; Complexity theory; Computer science; Computers; Partitioning algorithms; Pattern recognition; Set theory; Rough set; attribute reduction; inconsistent decision table;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.37
