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Advances in Fuzzy Systems
Volume 2013 (2013), Article ID 494239, 10 pages
http://dx.doi.org/10.1155/2013/494239
Research Article

A New Method for Short Multivariate Fuzzy Time Series Based on Genetic Algorithm and Fuzzy Clustering

1Faculty of Economics and Political Science, Cairo University, Egypt
2Sadat Academy for Management Sciences, Cairo, Egypt

Received 16 September 2013; Accepted 19 October 2013

Academic Editor: Katsuhiro Honda

Copyright © 2013 Kamal S. Selim and Gihan A. Elanany. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Inyeneobong Ekoi Edem, Sunday Ayoola Oke, and Kazeem Adekunle Adebiyi, “A novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting,” Journal of Industrial Engineering International, 2017. View at Publisher · View at Google Scholar
  • Cristian Rodrìguez Rivero, Sergio Laboret, Vìctor Sauchelli, Daniel Patiǹo, and Juliàn Pucheta, “Energy associated tuning method for short-term series forecasting by complete and incomplete datasets,” Journal of Artificial Intelligence and Soft Computing Research, vol. 7, no. 1, pp. 5–16, 2017. View at Publisher · View at Google Scholar