Symbolic clustering using a new dissimilarity measure
Pattern Recognition
A comparative assessment of measures of similarity of fuzzy values
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
On a class of fuzzy c-numbers clustering procedures for fuzzy data
Fuzzy Sets and Systems
Fuzzy clustering procedures for conical fuzzy vector data
Fuzzy Sets and Systems
Distances between intuitionistic fuzzy sets
Fuzzy Sets and Systems
A theoretical framework for data mining: the "informational paradigm"
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Three-way fuzzy clustering models for LR fuzzy time trajectories
Computational Statistics & Data Analysis
A new similarity measure of generalized fuzzy numbers and its application to pattern recognition
Pattern Recognition Letters
Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance
Pattern Recognition Letters
Topological properties of fuzzy numbers
Fuzzy Sets and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Two nonparametric models for fusing heterogeneous fuzzy data
IEEE Transactions on Fuzzy Systems
Analysis and efficient implementation of a linguistic fuzzy c-means
IEEE Transactions on Fuzzy Systems
Principal component analysis of fuzzy data using autoassociative neural networks
IEEE Transactions on Fuzzy Systems
Management of uncertainty in Statistical Reasoning: The case of Regression Analysis
International Journal of Approximate Reasoning
Simulation of fuzzy random variables
Information Sciences: an International Journal
Inverse kinematics of manipulator using weighted fuzzy clustering method for fuzzy training data
International Journal of Artificial Intelligence and Soft Computing
Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable
Computational Statistics & Data Analysis
The fuzzy approach to statistical analysis
Computational Statistics & Data Analysis
Data analysis with fuzzy clustering methods
Computational Statistics & Data Analysis
Autocorrelation-based fuzzy clustering of time series
Fuzzy Sets and Systems
A robust clustering procedure for fuzzy data
Computers & Mathematics with Applications
Locality sensitive C-means clustering algorithms
Neurocomputing
Clustering fuzzy data using the fuzzy EM algorithm
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Fuzzy clustering of time series in the frequency domain
Information Sciences: an International Journal
A fuzzy case based reasoning approach to value engineering
Expert Systems with Applications: An International Journal
Maximum likelihood estimation from fuzzy data using the EM algorithm
Fuzzy Sets and Systems
Fuzzy and possibilistic clustering for fuzzy data
Computational Statistics & Data Analysis
A Fuzzy Clustering Model for Fuzzy Data with Outliers
International Journal of Fuzzy System Applications
On possibilistic clustering with repulsion constraints for imprecise data
Information Sciences: an International Journal
Self-Organizing Maps for imprecise data
Fuzzy Sets and Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
Fuzzy distance of triangular fuzzy numbers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A fuzzy clustering model for fuzzy data is proposed. The model is based on a 'weighted' dissimilarity measure for comparing pairs of fuzzy data, composed by two distances, the so-called center (mode) distance and spread distance. The peculiarity of the proposed fuzzy clustering model is the objective estimation, incorporated in the clustering procedure, of suitable weights concerning the distance measures of the center and the spreads of the fuzzy data. In this way, the model objectively tunes the influence of the two components of the fuzzy data (center and spreads) for computing the mode and spread centroids in the fuzzy partitioning process. In order to show the performance of the proposed clustering algorithm, a simulation study and two illustrative applications are discussed.