Granular computing in neural networks
Granular computing
Construction of fuzzy systems using least-squares method and genetic algorithm
Fuzzy Sets and Systems - Theme: Modeling and control
Comparison of Heuristic Criteria for Fuzzy Rule Selection in Classification Problems
Fuzzy Optimization and Decision Making
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
International Journal of Hybrid Intelligent Systems
Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis
Information Sciences: an International Journal
A PSO-aided neuro-fuzzy classifier employing linguistic hedge concepts
Expert Systems with Applications: An International Journal
A proposed method for learning rule weights in fuzzy rule-based classification systems
Fuzzy Sets and Systems
Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design
International Journal of Hybrid Intelligent Systems - Hybridization of Intelligent Systems
Expert Systems with Applications: An International Journal
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
International Journal of Approximate Reasoning
A genetic_FPGA algorithm path planning of an autonomous mobile robot
MAMECTIS'08 Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
On the appropriateness of evolutionary rule learning algorithms for malware detection
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Performance evaluation of evolutionary algorithms in classification of biomedical datasets
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
A hybrid GA-based fuzzy classifying approach to urinary analysis modeling
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Improving generalization of fuzzy IF-THEN rules by maximizing fuzzy entropy
IEEE Transactions on Fuzzy Systems
FR3: a fuzzy rule learner for inducing reliable classifiers
IEEE Transactions on Fuzzy Systems
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Evolutionary multiobjective optimization for generating an ensemble of fuzzy rule-based classifiers
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Crisp classifiers vs. fuzzy classifiers: a statistical study
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Expert Systems with Applications: An International Journal
Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems
International Journal of Intelligent Information and Database Systems
Information Sciences: an International Journal
Clonal selection algorithm for classification
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Evolutionary learning of mamdani-type neuro-fuzzy systems
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Design of a Fuzzy-based Decision Support System for Coronary Heart Disease Diagnosis
Journal of Medical Systems
A hierarchical approach to multi-class fuzzy classifiers
Expert Systems with Applications: An International Journal
Knowledge acquisition based on learning of maximal structure fuzzy rules
Knowledge-Based Systems
A feature construction approach for genetic iterative rule learning algorithm
Journal of Computer and System Sciences
Engineering Applications of Artificial Intelligence
A new hybrid metaheuristic for medical data classification
International Journal of Metaheuristics
Information Sciences: an International Journal
A new fuzzy rule-based classification system for word sense disambiguation
Intelligent Data Analysis
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SLAVE is an inductive learning algorithm that uses concepts based on fuzzy logic theory. This theory has been shown to be a useful representational tool for improving the understanding of the knowledge obtained from a human point of view. Furthermore, SLAVE uses an iterative approach for learning based on the use of a genetic algorithm (GA) as a search algorithm. We propose a modification of the initial iterative approach used in SLAVE. The main idea is to include more information in the process of learning one individual rule. This information is included in the iterative approach through a different proposal of calculus of the positive and negative example to a rule. Furthermore, we propose the use of a new fitness function and additional genetic operators that reduce the time needed for learning and improve the understanding of the rules obtained