Zobrazit minimální záznam

dc.contributor.authorCaha, Jan
dc.contributor.authorDvorský, Jiří
dc.date.accessioned2018-03-05T09:55:17Z
dc.date.available2018-03-05T09:55:17Z
dc.date.issued2017
dc.identifier.citationAnnales Mathematicae et Informaticae. 2017, vol. 47, p. 19-40.cs
dc.identifier.issn1787-5021
dc.identifier.issn1787-6117
dc.identifier.urihttp://hdl.handle.net/10084/124645
dc.description.abstractThe presented research shows how the first derivatives (slope and aspect) can be calculated from a fuzzy surface by the means of fuzzy arithmetic within the geographic information system. The proposed method works with fuzzy numbers of arbitrary shape which helps with more precise specification of input values as well as more exact calculation of results. Three most important methods of partial derivatives calculation based on finite elements approximation of a surface are presented and discussed. The presented approach provides an alternative for uncertainty propagation that is commonly performed by the utilization of statistics and the Monte Carlo method in geographic applications. The example calculation shows the differences between the obtained results calculated with the utilization of fuzzy arithmetic and the Monte Carlo method.cs
dc.format.extent1494690 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherEszterházy Károly University, Institute of Mathematics and Informaticscs
dc.relation.ispartofseriesAnnales Mathematicae et Informaticaecs
dc.relation.urihttp://ami.ektf.hu/uploads/papers/finalpdf/AMI_47_from19to40.pdfcs
dc.subjectfuzzy surfacecs
dc.subjectfuzzy arithmeticcs
dc.subjectsurface derivativescs
dc.subjectuncertainty propagationcs
dc.titleFirst derivatives of fuzzy surfacescs
dc.typearticlecs
dc.rights.accessrestrictedAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume47cs
dc.description.lastpage40cs
dc.description.firstpage19cs
dc.identifier.wos000424545000002


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Zobrazit minimální záznam