Evolutionary Subsethood Product Fuzzy Neural Network
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Information Sciences—Informatics and Computer Science: An International Journal
Evolving structure and parameters of fuzzy models with interpretable membership functions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy modelling through logic optimization
International Journal of Approximate Reasoning
Fuzzy classifier design using genetic algorithms
Pattern Recognition
A novel parametric fuzzy CMAC network and its applications
Applied Soft Computing
Improved genetic algorithm for optimal design of fuzzy classifier
International Journal of Computer Applications in Technology
A fuzzy neural network with fuzzy impact grades
Neurocomputing
Linguistic modelling and information coarsening based on prototype theory and label semantics
International Journal of Approximate Reasoning
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Hierarchical cluster-based multispecies particle-swarm optimization for fuzzy-system optimization
IEEE Transactions on Fuzzy Systems
International Journal of Bio-Inspired Computation
A prototype-based rule inference system incorporating linear functions
Fuzzy Sets and Systems
Fuzzy inference system with probability factor and its application in data mining
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Design of t–s fuzzy classifier via linear matrix inequality approach
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Fuzzy modeling incorporated with fuzzy d-s theory and fuzzy naive bayes
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Time delay dynamic fuzzy networks for time series prediction
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Evolutionary computation and its applications in neural and fuzzy systems
Applied Computational Intelligence and Soft Computing
An Intelligent Operator for Genetic Fuzzy Rule Based System
International Journal of Intelligent Information Technologies
Differential evolution with local information for neuro-fuzzy systems optimisation
Knowledge-Based Systems
International Journal of Intelligent Information and Database Systems
International Journal of Intelligent Information and Database Systems
A random set and rule-based regression model incorporating image labels
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
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A hybrid approach to fuzzy supervised learning is presented. It is based on a genetic-neuro learning algorithm. The mixed-genetic coding adopted involves only the premises of the fuzzy rules. The conclusions are derived through a least-squares solution of an over-determined system using the singular value decomposition (SVD) algorithm. The paper presents the results obtained with C++ software called GEFREX that implements the proposed algorithm. The main characteristic of the algorithm is the compactness of the fuzzy systems extracted. Several comparisons ranging from approximation problems, classification problems, and time series predictions show that GEFREX reaches a smaller error than found in previous works with the same or a smaller number of rules. Further, it succeeds in identifying significant features. Although the SVD is used extensively, the learning time is decidedly reduced in comparison with previous work