Collaborative fuzzy clustering
Pattern Recognition Letters
Fuzzy Sets and Systems - Clustering and modeling
Information clustering based on fuzzy multisets
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
Analytically tractable case of fuzzy c-means clustering
Pattern Recognition
A multiview approach for intelligent data analysis based on data operators
Information Sciences: an International Journal
Collaborative clustering with the use of Fuzzy C-Means and its quantification
Fuzzy Sets and Systems
The structure analysis of fuzzy sets
International Journal of Approximate Reasoning
Fuzzy clustering with viewpoints
IEEE Transactions on Fuzzy Systems
The structural clustering and analysis of metric based on granular space
Pattern Recognition
Relational generalizations of cluster validity indices
IEEE Transactions on Fuzzy Systems
A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
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Based on granular spaces, some relational problems with fuzzy equivalence relations is studied, and three results are obtained as follows. Firstly, the dynamic property of a fuzzy equivalence relation on its granular space is discussed. Secondly, the ordering relationship between fuzzy equivalence relations and their granular spaces is researched, and they are order-preserving. Furthermore, the collaborative clustering of fuzzy equivalence relations on granular spaces by their intersection operation is given, which the collaborative clustering derived from the fuzzy equivalence relations obtained by the intersection operation is a thinner or more precise consistent cluster. These conclusions will help us pursue an even deeper understanding of the essence of granular computing.