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Information Sciences
Article . 2012 . Peer-reviewed
License: Elsevier TDM
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Approximations and uncertainty measures in incomplete information systems

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2012 English Publisher:Elsevier BVJournal:Information Sciences, volume 198, pages 62-80 (issn: 0020-0255, Copyright policy )
Authors: Jianhua Dai 0003; Qing Xu 0011;

doi: 10.1016/j.ins.2012.02.032

Approximations and uncertainty measures in incomplete information systems

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations
Keywords

uncertainty measures, Measures of information, entropy, approximations, accuracy measure, incomplete information systems, Reasoning under uncertainty in the context of artificial intelligence, rough set theory

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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!
134
Top 1%
Top 1%
Top 1%
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