Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
Linguistic recognition system based on approximate reasoning
Information Sciences: an International Journal
Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Approximate reasoning approach to pattern recognition
Fuzzy Sets and Systems
Applicability of the fuzzy operators in the design of fuzzy logic controllers
Fuzzy Sets and Systems
Completeness and consistency conditions for learning fuzzy rules
Fuzzy Sets and Systems
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
ID3-derived fuzzy rules and optimized defuzzification for handwritten numeral recognition
IEEE Transactions on Fuzzy Systems
A fuzzy classifier with ellipsoidal regions
IEEE Transactions on Fuzzy Systems
A Strategy of Dynamic Reasoning in Knowledge-Based System with Fuzzy Production Rules
Journal of Intelligent Information Systems
Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Learning fuzzy rules from iterative execution of games
Fuzzy Sets and Systems - Theme: Modeling and learning
A constructive method for building fuzzy rule-based systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Comparison of Heuristic Criteria for Fuzzy Rule Selection in Classification Problems
Fuzzy Optimization and Decision Making
International Journal of Approximate Reasoning
A weighting function for improving fuzzy classification systems performance
Fuzzy Sets and Systems
Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis
Information Sciences: an International Journal
A proposed method for learning rule weights in fuzzy rule-based classification systems
Fuzzy Sets and Systems
Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
International Journal of Approximate Reasoning
Constructing accurate fuzzy classifiers: A new adaptive method for rule-weight specification
International Journal of Knowledge-based and Intelligent Engineering Systems
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
International Journal of Knowledge-based and Intelligent Engineering Systems
International Journal of Approximate Reasoning
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning
IEEE Transactions on Evolutionary Computation
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
People detection through quantified fuzzy temporal rules
Pattern Recognition
Information Sciences: an International Journal
Rough neuro-fuzzy structures for classification with missing data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Fuzzy rule classifier: Capability for generalization in wood color recognition
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
On-line incremental feature weighting in evolving fuzzy classifiers
Fuzzy Sets and Systems
Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
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
Rule weights in a neuro-fuzzy system with a hierarchical domain partition
International Journal of Applied Mathematics and Computer Science
A classifier ensemble method for fuzzy classifiers
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Fuzzy linguistic rules classifier for wooden board color sorting
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Optimal selection of microarray analysis methods using a conceptual clustering algorithm
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Designing ensembles of fuzzy classification systems: an immune-inspired approach
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Decision making association rules for recognition of differential gene expression profiles
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Interval type-2 fuzzy model for emotion recognition from facial expression
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Ensemble fuzzy rule-based classifier design by parallel distributed fuzzy GBML algorithms
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
A hierarchical approach to multi-class fuzzy classifiers
Expert Systems with Applications: An International Journal
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
Computer Methods and Programs in Biomedicine
Adaptability, interpretability and rule weights in fuzzy rule-based systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases
International Journal of Hybrid Intelligent Systems
A new fuzzy rule-based classification system for word sense disambiguation
Intelligent Data Analysis
A single-objective genetic-fuzzy approach for multi-objective fuzzy problems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Fuzzy Rule-Based Systems have been succesfully applied to pattern classification problems. In this type of classification systems, the classical Fuzzy Reasoning Method (FRM) classifies a new example with the consequent of the rule with the greatest degree of association. By using this reasoning method, we lose the information provided by the other rules with different linguistic labels which also represent this value in the pattern attribute, although probably to a lesser degree. The aim of this paper is to present new FRMs which allow us to improve the system performance, maintaining its interpretability. The common aspect of the proposals is the participation, in the classification of the new pattern, of the rules that have been fired by such pattern. We formally describe the behaviour of a general reasoning method, analyze six proposals for this general model, and present a method to learn the parameters of these FRMs by means of Genetic Algorithms, adapting the inference mechanism to the set of rules. Finally, to show the increase of the system generalization capability provided by the proposed FRMs, we point out some results obtained by their integration in a fuzzy rule generation process.