Home > Research > Publications & Outputs > Fuzzy time series forecasting method based on G...

Research

Links

Text available via DOI:

Keywords

View graph of relations

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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. / Egrioglu, E.; Aladag, C. H.; Yolcu, U. et al.
In: Expert Systems with Applications, Vol. 38, No. 8, 01.08.2011, p. 10355-10357.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Egrioglu, E, Aladag, CH, Yolcu, U, Uslu, VR & Erilli, NA 2011, 'Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering', Expert Systems with Applications, vol. 38, no. 8, pp. 10355-10357. https://doi.org/10.1016/j.eswa.2011.02.052

APA

Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R., & Erilli, N. A. (2011). Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Systems with Applications, 38(8), 10355-10357. https://doi.org/10.1016/j.eswa.2011.02.052

Vancouver

Egrioglu E, Aladag CH, Yolcu U, Uslu VR, Erilli NA. Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Systems with Applications. 2011 Aug 1;38(8):10355-10357. doi: 10.1016/j.eswa.2011.02.052

Author

Egrioglu, E. ; Aladag, C. H. ; Yolcu, U. et al. / Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. In: Expert Systems with Applications. 2011 ; Vol. 38, No. 8. pp. 10355-10357.

Bibtex

@article{c6215add8121494685c685c9891be266,
title = "Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering",
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.",
keywords = "Forecasting, Fuzzy clustering, Fuzzy time series",
author = "E. Egrioglu and Aladag, {C. H.} and U. Yolcu and Uslu, {V. R.} and Erilli, {N. A.}",
year = "2011",
month = aug,
day = "1",
doi = "10.1016/j.eswa.2011.02.052",
language = "English",
volume = "38",
pages = "10355--10357",
journal = "Expert Systems with Applications",
issn = "0957-4174",
publisher = "Elsevier Ltd",
number = "8",

}

RIS

TY - JOUR

T1 - Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering

AU - Egrioglu, E.

AU - Aladag, C. H.

AU - Yolcu, U.

AU - Uslu, V. R.

AU - Erilli, N. A.

PY - 2011/8/1

Y1 - 2011/8/1

N2 - 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.

AB - 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.

KW - Forecasting

KW - Fuzzy clustering

KW - Fuzzy time series

U2 - 10.1016/j.eswa.2011.02.052

DO - 10.1016/j.eswa.2011.02.052

M3 - Journal article

AN - SCOPUS:79953721648

VL - 38

SP - 10355

EP - 10357

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 8

ER -