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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.

How to Cite this Article

Kamal S. Selim and Gihan A. Elanany, “A New Method for Short Multivariate Fuzzy Time Series Based on Genetic Algorithm and Fuzzy Clustering,” Advances in Fuzzy Systems, vol. 2013, Article ID 494239, 10 pages, 2013. doi:10.1155/2013/494239