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- aggregation classification "C1".
- aggregation creator B34264.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1225042.bibtex.
- aggregation hasFormat 1225042.csv.
- aggregation hasFormat 1225042.dc.
- aggregation hasFormat 1225042.didl.
- aggregation hasFormat 1225042.doc.
- aggregation hasFormat 1225042.json.
- aggregation hasFormat 1225042.mets.
- aggregation hasFormat 1225042.mods.
- aggregation hasFormat 1225042.rdf.
- aggregation hasFormat 1225042.ris.
- aggregation hasFormat 1225042.txt.
- aggregation hasFormat 1225042.xls.
- aggregation hasFormat 1225042.yaml.
- aggregation isPartOf urn:isbn:9783642162473.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Mathematics and Statistics".
- aggregation title "Ordered weighted average based fuzzy rough sets".
- aggregation abstract "Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied to data analysis problems, these approximations are sensitive to noisy and/or outlying samples. In this paper, we advocate a mitigated approach, in which membership to the lower and upper approximation is determined by means of an aggregation process using ordered weighted average operators. In comparison to the previously introduced vaguely quantified rough set model, which is based on a similar rationale, our proposal has the advantage that the approximations are monotonous w.r.t. the used fuzzy indiscernibility relation. Initial experiments involving a feature selection application confirm the potential of the OWA-based model.".
- aggregation authorList BK86388.
- aggregation endPage "85".
- aggregation startPage "78".
- aggregation volume "6401".
- aggregation aggregates 1225053.
- aggregation isDescribedBy 1225042.
- aggregation similarTo 978-3-642-16248-0_16.
- aggregation similarTo LU-1225042.