Structure identification of fuzzy model
Fuzzy Sets and Systems
Learning with genetic algorithms: an overview
Machine Language
Genetic algorithms for fuzzy controllers
AI Expert
Genetic optimization of fuzzy networks
Fuzzy Sets and Systems - Special issue on neuro-fuzzy techniques and applications
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
Applicability of the fuzzy operators in the design of fuzzy logic controllers
Fuzzy Sets and Systems
The ordered weighted averaging operators: theory and applications
The ordered weighted averaging operators: theory and applications
A genetic-algorithm-based method for tuning fuzzy logic controllers
Fuzzy Sets and Systems
A study about the inclusion of linguistic hedges in a fuzzy rule learning algorithm
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on selected papers on fuzzy logic and fuzzy technology from ESTYLF '98
Fuzzy Sets and Systems - Special issue on clustering and learning
Fuzzy Modelling: Paradigms and Practices
Fuzzy Modelling: Paradigms and Practices
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
The Fuzzy Classifier System: Motivations and first Results
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Pareto-Front Exploration with Uncertain Objectives
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Accuracy Improvements in Linguistic Fuzzy Modeling
Accuracy Improvements in Linguistic Fuzzy Modeling
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing)
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Foreword: special issue on robust optimization
Mathematical Programming: Series A and B
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on soft computing for information mining
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Integrated Computer-Aided Engineering
Novel fuzzy logic control based on weighting of partially inconsistent rules using neural network
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Handling of inconsistent rules with an extended model of fuzzy reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Higher order models for fuzzy random variables
Fuzzy Sets and Systems
Context adaptation of mamdani fuzzy rule based systems
International Journal of Intelligent Systems
Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
International Journal of Approximate Reasoning
Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
International Journal of Intelligent Systems
Developing a bioaerosol detector using hybrid genetic fuzzy systems
Engineering Applications of Artificial Intelligence
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Genetic Fuzzy Systems: Recent Developments and Future Directions; Guest editors: Jorge Casillas, Brian Carse
Taximeter verification using imprecise data from GPS
Engineering Applications of Artificial Intelligence
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Genetic learning of fuzzy rules based on low quality data
Fuzzy Sets and Systems
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems
Applied Intelligence
Looking for a good fuzzy system interpretability index: An experimental approach
International Journal of Approximate Reasoning
Taximeter verification with GPS and soft computing techniques
Soft Computing - A Fusion of Foundations, Methodologies and Applications
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
Engineering Applications of Artificial Intelligence
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets
Soft Computing - A Fusion of Foundations, Methodologies and Applications
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
International Journal of Approximate Reasoning
Interpretability assessment of fuzzy knowledge bases: A cointension based approach
International Journal of Approximate Reasoning
Parallel distributed implementation of genetics-based machine learning for fuzzy classifier design
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Fuzzy Classifier Design
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences: an International Journal
Multi-objective optimization of problems with epistemic uncertainty
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Rule-based modeling: precision and transparency
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Agent-based evolutionary approach for interpretable rule-based knowledge extraction
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Integrating fuzzy knowledge by genetic algorithms
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
On the Evolutionary Optimization of Many Conflicting Objectives
IEEE Transactions on Evolutionary Computation
Model-free optimization of fuzzy rule-based systems using evolution strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On generating FC3 fuzzy rule systems from data usingevolution strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design of adaptive fuzzy logic controller based on linguistic-hedgeconcepts and genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hybridization of fuzzy GBML approaches for pattern classification problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Semantic constraints for membership function optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
SLAVE: a genetic learning system based on an iterative approach
IEEE Transactions on Fuzzy Systems
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
IEEE Transactions on Fuzzy Systems
A proposal for improving the accuracy of linguistic modeling
IEEE Transactions on Fuzzy Systems
Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm
IEEE Transactions on Fuzzy Systems
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
IEEE Transactions on Fuzzy Systems
Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
Linguistic modeling by hierarchical systems of linguistic rules
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A fuzzy-logic-based approach to qualitative modeling
IEEE Transactions on Fuzzy Systems
Fuzzy control of pH using genetic algorithms
IEEE Transactions on Fuzzy Systems
Selecting fuzzy if-then rules for classification problems using genetic algorithms
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Editorial: Special issue on interpretable fuzzy systems
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Fuzzy classification using the data envelopment analysis
Knowledge-Based Systems
An adaptive rule-based approach for managing situation-awareness
Expert Systems with Applications: An International Journal
Accuracy vs. interpretability of fuzzy rule-based classifiers: an evolutionary approach
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Evolutionary prediction of photovoltaic power plant energy production
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
A genetic design of linguistic terms for fuzzy rule based classifiers
International Journal of Approximate Reasoning
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
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
An efficient multi-objective evolutionary fuzzy system for regression problems
International Journal of Approximate Reasoning
Adaptability, interpretability and rule weights in fuzzy rule-based systems
Information Sciences: an International Journal
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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The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems. The obtaining of accurate but also human-comprehensible fuzzy systems played a key role in Zadeh and Mamdani's seminal ideas and system identification methodologies. Nevertheless, before the advent of soft computing, accuracy progressively became the main concern of fuzzy model builders, making the resulting fuzzy systems get closer to black-box models such as neural networks. Fortunately, the fuzzy modeling scientific community has come back to its origins by considering design techniques dealing with the interpretability-accuracy tradeoff. In particular, the use of genetic fuzzy systems has been widely extended thanks to their inherent flexibility and their capability to jointly consider different optimization criteria. The current contribution constitutes a review on the most representative genetic fuzzy systems relying on Mamdani-type fuzzy rule-based systems to obtain interpretable linguistic fuzzy models with a good accuracy.