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

Egrioglu, E. and Aladag, C. H. and Yolcu, U. and Uslu, V. R. and Erilli, N. A. (2011) Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Systems with Applications, 38 (8). pp. 10355-10357. ISSN 0957-4174

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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.

Item Type:
Journal Article
Journal or Publication Title:
Expert Systems with Applications
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1702
Subjects:
ID Code:
139554
Deposited By:
Deposited On:
16 Dec 2019 16:20
Refereed?:
Yes
Published?:
Published
Last Modified:
13 May 2020 06:56