A review on the applications of type-2 fuzzy logic in classification and pattern recognition
Expert Systems with ApplicationsPublished 21 March 2013
Patricia Melín, Oscar Castillo
Citations138
SJR quartileQ1
SJR score1.85
SNIP2.55
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TL;DR
This paper presents a concise and representative review of the most successful applications of type-2 fuzzy logic in the fields of pattern recognition, classification and clustering.
Abstract
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.
Keywords
Computer ScienceMathematicsEngineering
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