Mining Method of Attribute Reduction Based on Rough Fuzzy Set Theory

Author

Dong, Chengxi ; Wu, Dewei ; Liu, Haibo

Author_Institution

Telecommun. Eng. Inst., Air Force Eng. Univ., Xian

Volume

3

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

746

Lastpage

749

Abstract

In order to solve the reasoning and decision problems when the given information is not sufficient, a mining method for attribute reduction of classification rules based on Rough Fuzzy Set theory is proposed, and its flow chart is also presented. The method can mine hidden association rules in samples and make decisions by using the reduction algorithm of characteristic attribute based on rough set and induction algorithm of decision rules based on fuzzy set. Finally, information system of satellite navigation system combat effectiveness evaluation is applied with this approach, and the results are satisfactory, which have proved that the approach is practicable and effective.

Keywords

data mining; fuzzy set theory; rough set theory; attribute reduction; characteristic attribute based; classification rules; decision rules; hidden association rules; induction algorithm; information system; mining method; reduction algorithm; rough fuzzy set theory; satellite navigation system; Association rules; Computer science; Data mining; Flowcharts; Fuzzy set theory; Fuzzy sets; Information systems; Satellite navigation systems; Set theory; Software engineering; Rough Fuzzy Set; association rule; attribute reduction; effectiveness evaulation; rule induction;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.1113

Filename

4722450