DocumentCode :
441970
Title :
A generalized definition of rough approximation based on similarity in variable precision rough sets
Author :
Zhao, Shi-Xin ; Zhang, Zi-Ru
Author_Institution :
Dept. of Math., Shi jia zhuang Railway Inst., China
Volume :
5
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
3153
Abstract :
Variable precision rough set theory (VPRS) is an important extension of rough set theory; it incorporates the use of indiscernibility relation (equivalence relation) to approximate sets of objects by β-lower and β-upper approximation. This paper extends the concepts to the case of more general relation - similarity relation. β-lower and β-upper approximation are proposed, which are extensional definitions of the classical concepts β-lower and β-upper approximation.
Keywords :
approximation theory; rough set theory; approximate set; equivalence relation; indiscernibility relation; rough approximation; similarity relation; variable precision rough set theory; Artificial intelligence; Cities and towns; Decision making; Educational institutions; Knowledge acquisition; Machine learning; Mathematics; Rail transportation; Rough sets; Set theory; Rough sets; Variable precision rough sets; similarity relation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527485
Filename :
1527485
Link To Document :
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