Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Supervised fuzzy clustering for the identification of fuzzy classifiers
Pattern Recognition Letters
Fuzzy Classifier with Probabilistic IF-THEN Rules
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Regression Modeling with Fuzzy Relations
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
A New Classifier Design with Fuzzy Functions
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A multiobjective simultaneous learning framework for clustering and classification
IEEE Transactions on Neural Networks
Rough sets and fuzzy sets theory applied to the sequential medical diagnosis
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS’2009
Relational type-2 interval fuzzy systems
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
Neuro-fuzzy systems with relation matrix
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
An information theoretic approach to generating fuzzy hypercubes for if-then classifiers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
No reference image quality assessment using fuzzy relational classifier
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Isolines of statistical information criteria for relational neuro-fuzzy system design
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Boosting ensemble of relational neuro-fuzzy systems
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Sequential classification via fuzzy relations
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Hierarchical clustering in power system based on fuzzy transitive closure
WSEAS Transactions on Circuits and Systems
Data Mining and Knowledge Discovery
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A novel approach to nonlinear classification is presented, in the training phase of the classifier, the training data is first clustered in an unsupervised way by fuzzy c-means or a similar algorithm. The class labels are not used in this step. Then, a fuzzy relation between the clusters and the class identifiers is computed. This approach allows the number of prototypes to be independent of the number of actual classes. For the classification of unseen patterns, the membership degrees of the feature vector in the clusters are first computed by using the distance measure of the clustering algorithm. Then, the output fuzzy set is obtained by relational composition. This fuzzy set contains the membership degrees of the pattern in the given classes. A crisp decision is obtained by defuzzification, which gives either a single class or a “reject” decision, when a unique class cannot be selected based on the available information. The principle of the proposed method is demonstrated on an artificial data set and the applicability of the method is shown on the identification of live-stock from recorded sound sequences. The obtained results are compared with two other classifiers