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

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

EXPERT SYSTEMS WITH APPLICATIONS, vol.38, no.8, pp.10355-10357, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 8
  • Publication Date: 2011
  • Doi Number: 10.1016/j.eswa.2011.02.052
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.10355-10357
  • Hacettepe University Affiliated: Yes


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.