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

Egrioglu E., ALADAĞ Ç. H. , Yolcu U., Uslu V. R. , Erilli N. A.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.38, sa.8, ss.10355-10357, 2011 (SCI İndekslerine Giren Dergi) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Konu: 8
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.eswa.2011.02.052
  • Sayfa Sayıları: ss.10355-10357


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.