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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/48869
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dc.contributor.authorPetrovsky, A. B.-
dc.date.accessioned2022-10-28T12:25:03Z-
dc.date.available2022-10-28T12:25:03Z-
dc.date.issued2021-
dc.identifier.citationPetrovsky, A.B. Reduction of attribute space dimensionality: the SOCRATES method / A.B. Petrovsky // Scientific and Technical Information Processing. - 2021. - Vol.48, №5.-P. 342-355. - Doi: 10.3103/S0147688221050063. - Refer.: p. 354-355.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/48869-
dc.description.abstractThe new SOCRATES (ShOrtening CRiteria and ATtributES) method for reducing the dimensionality of attribute space is described. In this method, a large number of initial numerical and/or verbal characteristics of objects are aggregated into a single integral index or several composite indicators with small scales of qualitative estimates. Multiattribute objects are represented as multisets of object propertiesru
dc.language.isoenru
dc.subjecttechniqueru
dc.subjectcomputer engineeringru
dc.subjectmultiattribute objectsru
dc.subjectmultisetsru
dc.subjectattribute spaceru
dc.subjectdimensionality reductionru
dc.subjectaggregation of attributesru
dc.titleReduction of attribute space dimensionality: the SOCRATES methodru
dc.typeArticleru
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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