Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis
Information Sciences: an International Journal
Efficient and interpretable fuzzy classifiers from data with support vector learning
Intelligent Data Analysis
Application of hybrid system control method for real-time power system stabilization
Fuzzy Sets and Systems
Classification process analysis of bioinformatics data with a support vector fuzzy inference system
NN'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Neural Networks - Volume 8
A parameterless feature ranking algorithm based on MI
Neurocomputing
Efficient and interpretable fuzzy classifiers from data with support vector learning
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Design of a two-stage fuzzy classification model
Expert Systems with Applications: An International Journal
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
A Maximum Class Distance Support Vector Machine-Based Algorithm for Recursive Dimension Reduction
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Development of an adaptive neuro-fuzzy classifier using linguistic hedges: Part 1
Expert Systems with Applications: An International Journal
The effect of linguistic hedges on feature selection: Part 2
Expert Systems with Applications: An International Journal
Construction of a neuron-fuzzy classification model based on feature-extraction approach
Expert Systems with Applications: An International Journal
Mining fuzzy rules using an Artificial Immune System with fuzzy partition learning
Applied Soft Computing
On the extraction of decision support rules from fuzzy predictive models
Applied Soft Computing
Mining efficient and interpretable fuzzy classifiers from data with support vector learning
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction
Expert Systems with Applications: An International Journal
A filter based feature selection approach using lempel ziv complexity
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Intelligent machine agent architecture for adaptive control optimization of manufacturing processes
Advanced Engineering Informatics
A fuzzy rule-based classification system using interval type-2 fuzzy sets
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
A new hybrid ant colony optimization algorithm for feature selection
Expert Systems with Applications: An International Journal
Fuzzy classifier with bayes rule consequent
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Refinement of fuzzy production rules by using a fuzzy-neural approach
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Fuzzy rule-based approaches to dimensionality reduction
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
A neurofuzzy approach to active learning based annotation propagation for 3D object databases
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer
International Journal of Fuzzy System Applications
Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
Computer Methods and Programs in Biomedicine
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Most methods of classification either ignore feature analysis or do it in a separate phase, offline prior to the main classification task. This paper proposes a neuro-fuzzy scheme for designing a classifier along with feature selection. It is a four-layered feed-forward network for realizing a fuzzy rule-based classifier. The network is trained by error backpropagation in three phases. In the first phase, the network learns the important features and the classification rules. In the subsequent phases, the network is pruned to an "optimal" architecture that represents an "optimal" set of rules. Pruning is found to drastically reduce the size of the network without degrading the performance. The pruned network is further tuned to improve performance. The rules learned by the network can be easily read from the network. The system is tested on both synthetic and real data sets and found to perform quite well.