DocumentCode
3260746
Title
Axiomatic approaches of the approximation operation based on rough sets and fuzzy rough sets
Author
Li, XiangPeng ; Dong, Min ; Qing, Liu
Author_Institution
Dept. of Math. & Phys., Wuhan Univ. of Sci. & Eng., Wuhan
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
393
Lastpage
396
Abstract
Rough set theory is an important tool for approximate reasoning about data. Axiomatic systems of rough sets are significant for using rough set theory in logical reasoning systems. In this paper, we propose a unified lower approximation axiomatic system for arbitrary binary relation based generalized rough sets. As the dual of axiomatic systems for lower approximation, a unified upper approximation axiomatic characterization of rough sets is also given. A binary relation can generate a lower approximation operation and an upper approximation operation. We prove that such a binary relation is unique. Furthermore, we can use the same expression to characterize the lower and upper approximations of fuzzy rough sets.
Keywords
equivalence classes; fuzzy set theory; inference mechanisms; rough set theory; approximate reasoning; approximation operation; arbitrary binary relation; axiomatic approach; equivalence relation; fuzzy rough set theory; logical reasoning system; rough set theory; Application software; Character generation; Computer science; Data engineering; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Mathematics; Rough sets; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2008. GrC 2008. IEEE International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-2512-9
Electronic_ISBN
978-1-4244-2513-6
Type
conf
DOI
10.1109/GRC.2008.4664641
Filename
4664641
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