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Information Sciences
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2006
Data sources: zbMATH Open
DBLP
Article . 2006
Data sources: DBLP
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Roughness bounds in rough set operations

Authors: Yingjie Yang; Robert I. John;

Roughness bounds in rough set operations

Abstract

Roughness indicates the significance of the uncertain elements of a rough set. This paper presents some bounds for rough set operations. The bounds obtained for the union as well as for the difference of rough sets depend on their operand's roughnesses. The roughness of the complement of a set is bounded with the ratio between the cardinalities of the upper approximations of the set and the universe, and it does not depend on the roughness of the set. The roughness of the intersection of two sets is always between \(0\) and \(1\).

Country
United Kingdom
Related Organizations
Keywords

roughness, information systems, UoA 23 Computer Science and Informatics, RAE 2008, Nonclassical and second-order set theories, rough sets, Theory of fuzzy sets, etc., Reasoning under uncertainty in the context of artificial intelligence, roughness

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    15
    popularity
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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
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