A new approach based on the optimization of the length of intervals in fuzzy time series

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dc.authorid0000-0003-4301-4149
dc.contributor.authorEgrioglu, Erol
dc.contributor.authorAladag, Cagdas Hakan
dc.contributor.authorBasaran, Murat A.
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.issued2011
dc.departmentNiğde ÖHÜ
dc.description.abstractIn fuzzy time series analysis, the determination of the interval length is an important issue. In many researches recently done, the length of intervals has been intuitively determined. In order to efficiently determine the length of intervals, two approaches which are based on the average and the distribution have been proposed by Huarng [4]. In this paper, we propose a new method based on the use of a single variable constrained optimization to determine the length of interval. In order to determine optimum length of interval for the best forecasting accuracy, we used aMATLAB function which is employing an algorithm based on golden section search and parabolic interpolation. Mean square error is used as a measure of forecasting accuracy so the objective function value is mean square error value for forecasted observations. The proposed method was employed to forecast the enrollments of the University of Alabama to show the considerable outperforming results.
dc.identifier.doi10.3233/IFS-2010-0470
dc.identifier.endpage19
dc.identifier.issn1064-1246
dc.identifier.issue1
dc.identifier.scopus2-s2.0-78651303153
dc.identifier.scopusqualityQ2
dc.identifier.startpage15
dc.identifier.urihttps://dx.doi.org/10.3233/IFS-2010-0470
dc.identifier.urihttps://hdl.handle.net/11480/4809
dc.identifier.volume22
dc.identifier.wosWOS:000286099100002
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherIOS PRESS
dc.relation.ispartofJOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectForecasting
dc.subjectfuzzy sets
dc.subjectfuzzy time series
dc.subjectlength of interval
dc.subjectoptimization
dc.titleA new approach based on the optimization of the length of intervals in fuzzy time series
dc.typeArticle

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