Geodetic deformation forecasting based on multi-variable grey prediction model and regression model

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dc.authoridKose, Erkan/0000-0002-0097-4302
dc.contributor.authorKöse, Erkan
dc.contributor.authorTasci, Levent
dc.date.accessioned2025-02-24T17:18:41Z
dc.date.available2025-02-24T17:18:41Z
dc.date.issued2019
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractPurpose The purpose of this paper is to examine the effectiveness of the multivariable grey prediction model in deformation forecasting. Design/methodology/approach Deformation in a dam can be seen because of many factors but without any doubt, the most influential factor is the water level. In this study, the deformation level of a point in the Keban Dam crest has been tried to be forecasted depending on the water level by the multivariable grey model GM(1,N). Regression analysis was used to test the accuracy of the prediction results obtained using the grey prediction model. Findings The results show that there is a great consistency between the grey prediction values and the actual values, and that the GM(1,N) produces more reliable results than the regression analysis. Based on the results, it can be concluded that the GM(1,N) is a very reliable estimation model for limited data conditions. Originality/value Different from the other studies in the literature, this study investigates deformation in a dam subject to the water level in the dam reservoir. The main contribution of the study to the literature is to suggest a relatively new procedure for estimating the deformation in the dams based on the water level.
dc.identifier.doi10.1108/GS-04-2019-0007
dc.identifier.endpage471
dc.identifier.issn2043-9377
dc.identifier.issn2043-9385
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85078147246
dc.identifier.scopusqualityQ1
dc.identifier.startpage464
dc.identifier.urihttps://doi.org/10.1108/GS-04-2019-0007
dc.identifier.urihttps://hdl.handle.net/20.500.14440/791
dc.identifier.volume9
dc.identifier.wosWOS:000488235300006
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherEmerald Group Publishing Ltd
dc.relation.ispartofGrey Systems-Theory and Application
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250201
dc.subjectGrey system theory
dc.subjectDeformation forecasting
dc.subjectMultivariable grey prediction model
dc.titleGeodetic deformation forecasting based on multi-variable grey prediction model and regression model
dc.typeArticle

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