Fuzzy clustering to classify several time series models with fractional Brownian motion errors

Mahmoudi, Mohammad Reza; Baleanu, Dumitru; Qasem, Sultan Noman; Mosavi, Amirhosein; S. Band, Shahab

dc.contributor.author	Mahmoudi, Mohammad Reza
dc.contributor.author	Baleanu, Dumitru
dc.contributor.author	Qasem, Sultan Noman
dc.contributor.author	Mosavi, Amirhosein
dc.contributor.author	S. Band, Shahab
dc.date.accessioned	2022-05-11T10:52:44Z
dc.date.available	2022-05-11T10:52:44Z
dc.date.issued	2021-02
dc.identifier.citation	Mahmoudi, Mohammad Reza...et al. (2021). "Fuzzy clustering to classify several time series models with fractional Brownian motion errors", Alexandria Engineering Journal, Vol. 60, No. 1, pp. 1137-1145.	tr_TR
dc.identifier.issn	1110-0168
dc.identifier.uri	http://hdl.handle.net/20.500.12416/5493
dc.description.abstract	In real world problems, scientists aim to classify and cluster several time series processes that can be used for a dataset. In this research, for the first time, based on fuzzy clustering method, an approach is applied to classify and cluster several time series models with fractional Brownian motion errors as candidates to fit on a dataset. The ability of the introduced technique is studied using simulation and real world example. © 2020 THE AUTHORS	tr_TR
dc.language.iso	eng	tr_TR
dc.relation.isversionof	10.1016/j.aej.2020.10.037	tr_TR
dc.rights	info:eu-repo/semantics/openAccess	tr_TR
dc.subject	Classification	tr_TR
dc.subject	Fractional Brownian Motion	tr_TR
dc.subject	Fuzzy Clustering	tr_TR
dc.subject	Non-Stationary	tr_TR
dc.subject	RDI	tr_TR
dc.subject	Stationary	tr_TR
dc.subject	Time Series	tr_TR
dc.title	Fuzzy clustering to classify several time series models with fractional Brownian motion errors	tr_TR
dc.type	article	tr_TR
dc.relation.journal	Alexandria Engineering Journal	tr_TR
dc.contributor.authorID	56389	tr_TR
dc.identifier.volume	60	tr_TR
dc.identifier.issue	1	tr_TR
dc.identifier.startpage	1137	tr_TR
dc.identifier.endpage	1145	tr_TR
dc.contributor.department	Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü	tr_TR