DocumentCode :
3355365
Title :
A new attribute reduction algorithm in inconsistent decision information systems
Author :
Xiao Tang ; Lan Shu
Author_Institution :
Sch. of Math. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
2
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
1078
Lastpage :
1084
Abstract :
This paper mainly deals with attribute reductions of inconsistent decision information system. In inconsistent decision system, improper selection of rules may lead to lose useful information. A new attribute reduction algorithm is proposed in this paper. By using this method, inconsistent rules are eliminated without affecting the useful information. It is a useful method to deal with small sample problem. The performance of the proposed method is compared with the conventional methods. The results indicate our method can include the result of the conventional methods. And the experiment results show the validity of the method.
Keywords :
decision support systems; information systems; set theory; attribute reduction algorithm; conventional methods; inconsistent decision information systems; rules selection; Algorithm design and analysis; Diseases; Educational institutions; Information systems; Set theory; Signal processing algorithms; attribute reduction; combination rule; inconsistent decision table; rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
Type :
conf
DOI :
10.1109/CISP.2013.6745216
Filename :
6745216
Link To Document :
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