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- aggregation classification "A1".
- aggregation creator B944851.
- aggregation creator B944852.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 5836494.bibtex.
- aggregation hasFormat 5836494.csv.
- aggregation hasFormat 5836494.dc.
- aggregation hasFormat 5836494.didl.
- aggregation hasFormat 5836494.doc.
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- aggregation hasFormat 5836494.txt.
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- aggregation hasFormat 5836494.yaml.
- aggregation isPartOf urn:issn:1542-3980.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Mathematics and Statistics".
- aggregation title "Dynamic maintenance of approximations under a rough-set based variable precision limited tolerance relation".
- aggregation abstract "Approximations are basic operators in rough sets theory. Both certain and uncertain rules can be well induced from different regions partitioned by approximations. In the dynamic change of an information system, approximations of a concept vary with time. In this paper, we extend the variable precision rough sets to Variable Precision Limited Tolerance Relation based Rough Sets (VPLTRRS) in Incomplete Information Systems (IIS). The VPLTRRS has tolerance to errors and can deal with data with missing values. We propose new definitions of coarsening and refining attribute values in IIS and present properties of approximations in terms of coarsening and refining attribute values in IIS. We further develop algorithms to dynamic maintenance of approximations under VPLTRRS. With examples to explain the incremental updating method, we validate by extensive experimental evaluation results the effectiveness of the proposed approach for dynamic maintenance approximations under VPLTRRS.".
- aggregation authorList BK1333220.
- aggregation endPage "598".
- aggregation issue "5-6".
- aggregation startPage "577".
- aggregation volume "18".
- aggregation aggregates 5836507.
- aggregation isDescribedBy 5836494.
- aggregation similarTo LU-5836494.