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An application of fuzzy time series to improve ISE forecasting

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dc.contributor.authorMemmedli, Memmedağa
dc.contributor.authorÖzdemir, Özer
dc.contributor.orcid0000-0002-9967-4237
dc.contributor.orcid0000-0003-2446-5139
dc.date.accessioned2025-11-13T11:34:12Z
dc.date.issued2010-01-01
dc.identifier.endpage21
dc.identifier.issue1
dc.identifier.openalexW52855994
dc.identifier.startpage12
dc.identifier.urihttps://hdl.handle.net/11421/7231
dc.identifier.urihttp://www.wseas.us/e-library/transactions/mathematics/2010/89-128.pdf
dc.identifier.volume9
dc.language.isoen
dc.relation.ispartofWSEAS Transactions on Mathematics archive
dc.rightsrestrictedAccess
dc.subjectMean squared error
dc.subjectMean absolute percentage error
dc.subjectStatistics
dc.subjectMathematics
dc.subjectArtificial neural network
dc.subjectSeries (stratigraphy)
dc.subjectMean absolute error
dc.subjectFuzzy logic
dc.subjectTime series
dc.subjectMeasure (data warehouse)
dc.subjectEconometrics
dc.subjectData mining
dc.subjectComputer science
dc.subjectMachine learning
dc.subjectArtificial intelligence
dc.titleAn application of fuzzy time series to improve ISE forecasting
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5047668983
local.authorid.openalexA5101564741

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