Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

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dc.authorid0000-0003-4301-4149
dc.contributor.authorAladag, Cagdas H.
dc.contributor.authorBasaran, Murat A.
dc.contributor.authorEgrioglu, Erol
dc.contributor.authorYolcu, Ufuk
dc.contributor.authorUslu, Vedide R.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2009
dc.departmentNiğde ÖHÜ
dc.description.abstractA given observation in time series does not only depend on preceding one but also previous ones in general. Therefore, high order fuzzy time series approach might obtain better forecasts than does first order fuzzy time series approach. Defining fuzzy relation in high order fuzzy time series approach are more complicated than that in first order fuzzy time series approach. A new proposed approach, which uses feed forward neural networks to define fuzzy relation in high order fuzzy time series, is introduced in this paper. The new proposed approach is applied to well-known enrollment data for the University of Alabama and obtained results are compared with other methods proposed in the literature. It is found that the proposed method produces better forecasts than the other methods. (c) 2008 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.eswa.2008.04.001
dc.identifier.endpage4231
dc.identifier.issn0957-4174
dc.identifier.issue3
dc.identifier.scopus2-s2.0-58349090456
dc.identifier.scopusqualityQ1
dc.identifier.startpage4228
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2008.04.001
dc.identifier.urihttps://hdl.handle.net/11480/5069
dc.identifier.volume36
dc.identifier.wosWOS:000263584100009
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectForecasting
dc.subjectFuzzy relation
dc.subjectFuzzy set
dc.subjectHigh order fuzzy time series
dc.subjectNeural networks
dc.titleForecasting in high order fuzzy times series by using neural networks to define fuzzy relations
dc.typeArticle

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