Boscovich fuzzy regression line

dc.contributor.authorŠkrabánek, Pavelcs
dc.contributor.authorMarek, Jaroslavcs
dc.contributor.authorPozdílková, Alenacs
dc.coverage.issue6cs
dc.coverage.volume9cs
dc.date.accessioned2021-07-23T14:55:20Z
dc.date.available2021-07-23T14:55:20Z
dc.date.issued2021-03-23cs
dc.description.abstractWe introduce a new fuzzy linear regression method. The method is capable of approximating fuzzy relationships between an independent and a dependent variable. The independent and dependent variables are expected to be a real value and triangular fuzzy numbers, respec-tively. We demonstrate on twenty datasets that the method is reliable, and it is less sensitive to outliers, compare with possibilistic-based fuzzy regression methods. Unlike other commonly used fuzzy regression methods, the presented method is simple for implementation and it has linear time-complexity. The method guarantees non-negativity of model parameter spreads.en
dc.formattextcs
dc.format.extent1-14cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationMathematics. 2021, vol. 9, issue 6, p. 1-14.en
dc.identifier.doi10.3390/math9060685cs
dc.identifier.issn2227-7390cs
dc.identifier.other171143cs
dc.identifier.urihttp://hdl.handle.net/11012/200895
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofMathematicscs
dc.relation.urihttps://www.mdpi.com/2227-7390/9/6/685cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2227-7390/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectfuzzy linear regressionen
dc.subjectnon-symmetric triangular fuzzy numberen
dc.subjectleast absolute valueen
dc.subjectBoscovich regression lineen
dc.subjectoutlieren
dc.titleBoscovich fuzzy regression lineen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-171143en
sync.item.dbtypeVAVen
sync.item.insts2021.08.30 23:53:59en
sync.item.modts2021.08.30 22:49:42en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automatizace a informatikycs
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