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-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 8
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.eswa.2011.02.052
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.10355-10357
  • Anahtar Kelimeler: Fuzzy time series, Forecasting, Fuzzy clustering, NEURAL-NETWORKS, ENROLLMENTS, MODEL, INTERVALS, LENGTH
  • Sivas Cumhuriyet Üniversitesi Adresli: Hayır

Özet

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.