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

Authors:
E. Egrioglu;C. H. Aladag;U. Yolcu;V. R. Uslu;N. A. Erilli
Affiliations:
Department of Statistics, Ondokuz Mayis University, Samsun 55139, Turkey;Department of Statistics, Hacettepe University, Ankara 06532, Turkey;Department of Statistics, Ondokuz Mayis University, Samsun 55139, Turkey;Department of Statistics, Ondokuz Mayis University, Samsun 55139, Turkey;Department of Statistics, Ondokuz Mayis University, Samsun 55139, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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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.