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Advances in Fuzzy Systems
Volume 2016 (2016), Article ID 3931582, 2 pages
http://dx.doi.org/10.1155/2016/3931582
Editorial

Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications

1Department of Industrial Engineering, Izmir University, Izmir, Turkey
2Iona College, Machine Intelligence Institute, New Rochelle, NY, USA
3Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
4Department of Mathematics, Islamic Azad University, Tehran, Iran

Received 8 November 2016; Accepted 8 November 2016

Copyright © 2016 Gözde Ulutagay et al. 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

Gözde Ulutagay, Ronald Yager, Bernard De Baets, and Tofigh Allahviranloo, “Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications,” Advances in Fuzzy Systems, vol. 2016, Article ID 3931582, 2 pages, 2016. doi:10.1155/2016/3931582