A new high order fuzzy ARMA time series forecasting method by using neural networks to define fuzzy relations

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dc.contributor.authorKoçak, Cem
dc.date.accessioned2019-05-13T09:08:26Z
dc.date.available2019-05-13T09:08:26Z
dc.date.issued2015
dc.departmentHitit Üniversitesi, Sağlık Bilimleri Fakültesi, Hemşirelik Bölümü
dc.description.abstractLinear time series methods are researched under 3 topics, namely, AR (autoregressive), MA (moving averages), and ARMA (autoregressive moving averages) models. On the other hand, the univariate fuzzy time series forecasting methods proposed in the literature are based on fuzzy lagged (autoregressive (AR)) variables, having not used the error lagged (moving average (MA)) variables except for only two studies in the fuzzy time series literature. Not using MA variables could cause the model specification error in solutions of fuzzy time series. For this reason, this model specification error should be eliminated. In this study, a solution algorithm based on artificial neural networks has been proposed by defining a new high order fuzzy ARMA time series forecasting model that contains fuzzy MA variables along with fuzzy AR variables. It has been pointed out by the applications that the forecasting performance could have been increased by the proposed method in accordance with the fuzzy AR models in the literature since the proposed method is a high order model and also utilizes artificial neural networks to identify the fuzzy relation. © 2015 Cem Kocak.
dc.identifier.citationKoçak, C. (2015). A new high order fuzzy ARMA time series forecasting method by using neural networks to define fuzzy relations. Mathematical Problems in Engineering, 2015.
dc.identifier.doi10.1155/2015/128097
dc.identifier.issn1024-123X
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1155/2015/128097
dc.identifier.urihttps://hdl.handle.net/11491/1996
dc.identifier.volume2015en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherHindawi Publishing Corporation
dc.relation.ispartofMathematical Problems in Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 3.0 Unported (CC BY 3.0)*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/*
dc.subject[Belirlenecek]en_US
dc.titleA new high order fuzzy ARMA time series forecasting method by using neural networks to define fuzzy relations
dc.typeArticle

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