Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases
Information Sciences: an International Journal
Applicability of the fuzzy operators in the design of fuzzy logic controllers
Fuzzy Sets and Systems
A glance at implication and T-conditional functions
Discovering the world with fuzzy logic
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
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
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
A proposed method for learning rule weights in fuzzy rule-based classification systems
Fuzzy Sets and Systems
International Journal of Intelligent Systems
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
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
Interpretability Assessment of Fuzzy Rule-Based Classifiers
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Looking for a good fuzzy system interpretability index: An experimental approach
International Journal of Approximate Reasoning
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
IEEE Transactions on Fuzzy Systems
A dynamically constrained multiobjective genetic fuzzy system for regression problems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Interpretability assessment of fuzzy knowledge bases: A cointension based approach
International Journal of Approximate Reasoning
Fuzzy Classifier Design
International Journal of Approximate Reasoning
Identification of transparent, compact, accurate and reliable linguistic fuzzy models
Information Sciences: an International Journal
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences: an International Journal
Editorial: Special issue on interpretable fuzzy systems
Information Sciences: an International Journal
Design of fuzzy rule-based classifiers with semantic cointension
Information Sciences: an International Journal
Learning interpretable fuzzy inference systems with FisPro
Information Sciences: an International Journal
Interpretability, interpolation and rule weights in linguistic fuzzy modeling
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
How good are fuzzy If-Then classifiers?
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolving Compact and Interpretable Takagi–Sugeno Fuzzy Models With a New Encoding Scheme
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
A fuzzy classifier with ellipsoidal regions
IEEE Transactions on Fuzzy Systems
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Effect of rule weights in fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Rule Weight Specification in Fuzzy Rule-Based Classification Systems
IEEE Transactions on Fuzzy Systems
Selecting fuzzy if-then rules for classification problems using genetic algorithms
IEEE Transactions on Fuzzy Systems
Fuzzy min-max neural networks. I. Classification
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
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This paper discusses interpretability in two main categories of fuzzy systems - fuzzy rule-based classifiers and interpolative fuzzy systems. Our goal is to show that the aspect of high level interpretability is more relevant to fuzzy classifiers, whereas fuzzy systems employed in modeling and control benefit more from low-level interpretability. We also discuss the interpretability-accuracy tradeoff and observe why various rule weighting schemes that have been brought into play to increase adaptability of fuzzy systems rather just increase computational overhead and seriously compromise interpretability of fuzzy systems.