DocumentCode :
2638180
Title :
Variable Precision Fuzzy Rough Set Model Based on Fuzzy Covering
Author :
Zhang, Aiquan ; Ha, Minghu ; Fan, Yijun
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
399
Lastpage :
399
Abstract :
The theory of rough sets is a powerful tool for data analysis and knowledge discovery from imprecise and ambiguous data. A variable precision fuzzy rough set model based on fuzzy covering is proposed in this study. Some properties of rough approximation operators of the variable precision fuzzy rough set model based on fuzzy covering are discussed. It is a further and important generalization of rough set model.
Keywords :
data mining; fuzzy set theory; rough set theory; data analysis; fuzzy covering; knowledge discovery; variable precision fuzzy rough set model; Computer science; Data analysis; Electronic mail; Fuzzy set theory; Fuzzy sets; Intelligent systems; Mathematical model; Mathematics; Rough sets; Set theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.593
Filename :
4603588
Link To Document :
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