DocumentCode :
578080
Title :
Properties and axiomatization of fuzzy rough sets based on fuzzy covering
Author :
Wu, Ming-fen ; Han, Hao-han ; Si, Yan-fei
Volume :
1
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
184
Lastpage :
189
Abstract :
Some expanded fuzzy rough sets models have been investigated to handle fuzzy databases with uncertain, imprecise and incomplete real-valued information. In this paper, we make further research on fuzzy rough sets models in fuzzy environment, and we generalize rough fuzzy sets model based on a covering to fuzzy rough sets model based on a fuzzy covering. The lower and upper approximations of fuzzy subsets are defined based on a fuzzy covering, and basic properties are investigated. Then, the axiom definition of the lower approximation operator is given. It is shown that the rough fuzzy sets model based on a covering is a special instance of the fuzzy rough sets model based on a fuzzy covering.
Keywords :
approximation theory; data mining; fuzzy set theory; rough set theory; fuzzy covering; fuzzy databases; fuzzy rough sets models; imprecise real-valued information; incomplete real-valued information; knowledge discovery; lower approximations; uncertain real-valued information; upper approximations; Abstracts; Axiomatization; Covering; Fuzzy covering; Fuzzy rough sets; Rough fuzzy sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6358909
Filename :
6358909
Link To Document :
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