DocumentCode
578082
Title
Variable precision rough fuzzy set model based on general relations
Author
Tsang, E.C.C. ; Ma, Weimin ; Sun, Bingzhen
Author_Institution
Fac. of Inf. Technol., Macau Univ. of Sci. & Technol., Taipa, China
Volume
1
fYear
2012
fDate
15-17 July 2012
Firstpage
195
Lastpage
199
Abstract
In order to effectively handle the real-valued data sets in practice, it is valuable from theoretical and practical aspects to combine fuzzy rough set (FRS) and variable precision rough set (VPRS) so that a powerful tool can be developed. That is, the model of fuzzy variable precision rough set (FVPRS), which not only can handle numerical data but also is less sensitive to misclassification and perturbation,In this paper, we propose a new variable precision rough fuzzy set by introducing the variable precision parameter to generalized rough fuzzy set, i.e., the variable precision rough fuzzy set based on general relation. We define the lower and upper approximations of any fuzzy set with variable precision parameter by constructive approach. Then we establish the relation between the model proposed in this paper and the existing models. Finally, we present the properties of the proposed model in detail. The results enrich the theory and also extend the application fields for rough set theory.
Keywords
approximation theory; fuzzy set theory; rough set theory; FRS; FVPRS; VPRS; fuzzy variable precision rough set; general relations; lower approximations; numerical data; real-valued data sets; upper approximations; variable precision parameter; variable precision rough fuzzy set model; Abstracts; Barium; Rough set; general relations; knowledge representation; variable precision rough fuzzy set;
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.2012.6358911
Filename
6358911
Link To Document