Recent advances in intuitionistic fuzzy information aggregation
Fuzzy Optimization and Decision Making
Clustering fuzzy data using the fuzzy EM algorithm
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Information Sciences: an International Journal
A novel intuitionistic fuzzy clustering method for geo-demographic analysis
Expert Systems with Applications: An International Journal
On the Mitchell similarity measure and its application to pattern recognition
Pattern Recognition Letters
Fuzzy clustering of intuitionistic fuzzy data
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Vague C-means clustering algorithm
Pattern Recognition Letters
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Challenged by real-world clustering problems this paper proposes a novel fuzzy clustering scheme of datasets produced in the context of intuitionistic fuzzy set theory. More specifically, we introduce a variant of the Fuzzy C-Means (FCM) clustering algorithm that copes with uncertainty and a similarity measure between intuitionistic fuzzy sets, which is appropriately integrated in the clustering algorithm. We describe an intuitionistic fuzzification of colour digital images upon which we applied the proposed scheme. The experimental evaluation of the proposed scheme shows that it can be more efficient and more effective than the well-established FCM algorithm, opening perspectives for various applications.