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dc.contributor.authorNowaková, Jana
dc.contributor.authorPokorný, Miroslav
dc.date.accessioned2016-11-18T11:01:12Z
dc.date.available2016-11-18T11:01:12Z
dc.date.issued2014
dc.identifier.citationAdvances in electrical and electronic engineering. 2014, vol. 12, no. 5, p. 511-517 : ill.cs
dc.identifier.issn1336-1376
dc.identifier.issn1804-3119
dc.identifier.urihttp://hdl.handle.net/10084/116399
dc.description.abstractThe theoretical background for abstract formalization of vague phenomenon of complex systems is fuzzy set theory. In the paper are defined vague data as specialized fuzzy sets - fuzzy numbers and there is described a fuzzy linear regression model as a fuzzy function with fuzzy numbers as vague regression parameters. To identify the fuzzy coefficients of model the genetic algorithm is used. The linear approximation of vague function together with its possibility area are analytically and graphically expressed. The suitable numerical experiments are performed namely in the task of two-dimensional fuzzy function modelling and the time series fuzzy regression analysis as well.cs
dc.format.extent523449 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.relation.ispartofseriesAdvances in electrical and electronic engineeringcs
dc.relation.urihttp://dx.doi.org/10.15598/aeee.v12i5.1143cs
dc.rights© Vysoká škola báňská - Technická univerzita Ostrava
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectcomplex systemscs
dc.subjectfuzzy linear regressioncs
dc.subjectfuzzy numbercs
dc.subjectfuzzy setcs
dc.subjectgenetic algorithmscs
dc.subjectpossibility areacs
dc.subjectvague propertycs
dc.titleOn multidimensional linear modelling including real uncertaintycs
dc.typearticlecs
dc.identifier.doi10.15598/aeee.v12i5.1143
dc.rights.accessopenAccess
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs


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