Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Sets and Systems
An interval type-2 fuzzy PCM algorithm for pattern recognition
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
I-fuzzy partitions for representing clustering uncertainties
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
A definition for I-fuzzy partitions
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Uncertain Fuzzy Clustering: Interval Type-2 Fuzzy Approach to C-Means
IEEE Transactions on Fuzzy Systems
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I-fuzzy partitions have been defined to represent uncertainty on the clustering process. They are based on interval type-2 fuzzy sets, also known as Atanassov's intuitionistic fuzzy sets. In this paper we propose a method to define such I-fuzzy partitions from the results obtained by two applications of fuzzy c-means, one with a given parameter m1 and the other with a different parameter m2. The results presented extend some previous work.