Publication: Fuzzy Time Series Forecasting Method Based on Gustafson-Kessel Fuzzy Clustering
| dc.authorscopusid | 23093703600 | |
| dc.authorscopusid | 23092915500 | |
| dc.authorscopusid | 24282075600 | |
| dc.authorscopusid | 24282155300 | |
| dc.authorscopusid | 36990053600 | |
| dc.contributor.author | Egrioglu, E. | |
| dc.contributor.author | Aladag, C.H. | |
| dc.contributor.author | Yolcu, U. | |
| dc.contributor.author | Uslu, V.R. | |
| dc.contributor.author | Erilli, N.A. | |
| dc.date.accessioned | 2020-06-21T14:39:50Z | |
| dc.date.available | 2020-06-21T14:39:50Z | |
| dc.date.issued | 2011 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Egrioglu] Erol, Department of Statistics, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Aladag] Cagdas Hakan, Department of Statistics, Hacettepe Üniversitesi, Ankara, Turkey; [Yolcu] Ufuk, Department of Statistics, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Uslu] Vedide Rezan, Department of Statistics, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Erilli] N. A., Department of Statistics, Ondokuz Mayis Üniversitesi, Samsun, Turkey | en_US |
| dc.description.abstract | Fuzzy time series approaches have being increasingly attracted researchers' attentions. The procedures on fuzzy time series actually consist of three stages; fuzzification, determination of fuzzy relations and defuzzification. Researches are generally concentrated on these stages and about improving them. In this study, we propose a new approach, which combines several techniques. In this approach, Gustafson-Kessel, which is a fuzzy clustering technique, is being used to fuzzification of time series. The proposed method is compared with the approaches in literature. © 2011 Published by Elsevier Ltd. | en_US |
| dc.identifier.doi | 10.1016/j.eswa.2011.02.052 | |
| dc.identifier.endpage | 10357 | en_US |
| dc.identifier.issn | 0957-4174 | |
| dc.identifier.issue | 8 | en_US |
| dc.identifier.scopus | 2-s2.0-79953721648 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 10355 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.eswa.2011.02.052 | |
| dc.identifier.volume | 38 | en_US |
| dc.identifier.wos | WOS:000290237500146 | |
| dc.identifier.wosquality | Q1 | |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon-Elsevier Science Ltd | en_US |
| dc.relation.ispartof | Expert Systems with Applications | en_US |
| dc.relation.journal | Expert Systems With Applications | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Forecasting | en_US |
| dc.subject | Fuzzy Clustering | en_US |
| dc.subject | Fuzzy Time Series | en_US |
| dc.title | Fuzzy Time Series Forecasting Method Based on Gustafson-Kessel Fuzzy Clustering | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
