Journal
APPLIED SOFT COMPUTING
Volume 21, Issue -, Pages 568-577Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2014.04.017
Keywords
Type-2 fuzzy logic; Pattern recognition; Classification; Clustering
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In this paper a review of type-2 fuzzy logic applications in pattern recognition, classification and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a wide range of applications due to its ability to handle higher degrees of uncertainty. In particular, there have been recent applications of type-2 fuzzy logic in the fields of pattern recognition, classification and clustering, where it has helped improving results over type-1 fuzzy logic. In this paper a concise and representative review of the most successful applications of type-2 fuzzy logic in these fields is presented. At the moment, most of the applications in this review use interval type-2 fuzzy logic, which is easier to handle and less computational expensive than generalized type-2 fuzzy logic. (C) 2014 Elsevier B.V. All rights reserved.
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