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Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering

Date

2011

Author

Egrioglu, E.
Aladag, C. H.
Yolcu, U.
Uslu, V. R.
Erilli, N. A.

Metadata

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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. (C) 2011 Elsevier Ltd. All rights reserved.

Source

Expert Systems With Applications

Volume

38

Issue

8

URI

https://doi.org/10.1016/j.eswa.2011.02.052
https://hdl.handle.net/20.500.12712/17107

Collections

  • Scopus İndeksli Yayınlar Koleksiyonu [14046]
  • WoS İndeksli Yayınlar Koleksiyonu [12971]



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