Structure identification of fuzzy model
Fuzzy Sets and Systems
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Designing a fuzzy model by adaptive macroevolution genetic algorithms
Fuzzy Sets and Systems
Subtractive clustering based modeling of job sequencing with parametric search
Fuzzy Sets and Systems - Data analysis
An introduction to variable and feature selection
The Journal of Machine Learning Research
Non-parametric classifier-independent feature selection
Pattern Recognition
Neuro Fuzzy Classification and Detection Technique for Bioinformatics Problems
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
NeuroFuzzy Agent Programming for Processing of EEG/ECG/EMG Waveforms
ITNG '07 Proceedings of the International Conference on Information Technology
Fuzzy classifier design using genetic algorithms
Pattern Recognition
Expert Systems with Applications: An International Journal
Application of wrapper approach and composite classifier to the stock trend prediction
Expert Systems with Applications: An International Journal
An improved fuzzy neural network based on T-S model
Expert Systems with Applications: An International Journal
Data mining with a simulated annealing based fuzzy classification system
Pattern Recognition
Particle swarm optimization for pap-smear diagnosis
Expert Systems with Applications: An International Journal
Effective classification using feature selection and fuzzy integration
Fuzzy Sets and Systems
A methodology for automated fuzzy model generation
Fuzzy Sets and Systems
Support vector machines combined with feature selection for breast cancer diagnosis
Expert Systems with Applications: An International Journal
A New Feature Selection Scheme Using a Data Distribution Factor for Unsupervised Nominal Data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning fuzzy rules with tabu search-an application to control
IEEE Transactions on Fuzzy Systems
Evolutionary design of fuzzy rule base for nonlinear system modeling and control
IEEE Transactions on Fuzzy Systems
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Automatic Design of Hierarchical Takagi–Sugeno Type Fuzzy Systems Using Evolutionary Algorithms
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A survey of fuzzy logic monitoring and control utilisation in medicine
Artificial Intelligence in Medicine
Heating exchange process PIDNN control system research based on T-S fuzzy model
International Journal of Wireless and Mobile Computing
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A new systematic way in order to obtain optimized fuzzy inference system for classification task is developed. The proposed algorithm, Simulated Annealing (SA) and Subtractive Clustering (SC) based Fuzzy Classifier (SASCFC) is a cooperation of the SA and the SC methods. The SA is used in order to optimize the SC parameters, feature subspace and output threshold value of fuzzy based classifier. A hybrid feature selection strategy which combines filter and wrapper type approaches is also proposed. In order to demonstrate the effects of these optimizations, we proposed four different SASCFC classifiers which are called as the SASCFC-Type1, Type2, Type3 and Type4. The performance and rule base complexity of proposed classifiers are compared with each other and also some classifier tools on some well known classification tasks. The results show that the proposed classifiers have a satisfactory performance in comparison with its counterparts.