Design of transparent mamdani fuzzy inference systems
Design and application of hybrid intelligent systems
Intelligent association selection of embedded agents in intelligent inhabited environments
Pervasive and Mobile Computing
Knowledge-based Intelligent Diagnosis of Ground Robot Collision with Non Detectable Obstacles
Journal of Intelligent and Robotic Systems
Evolving structure and parameters of fuzzy models with interpretable membership functions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A currency crisis and its perception with fuzzy C-means
Information Sciences: an International Journal
Fuzzy logic controller design methodology for Cartesian robot control
International Journal of Computer Applications in Technology
Medical data mining by fuzzy modeling with selected features
Artificial Intelligence in Medicine
Towards Automatic Camera Calibration Under Changing Lighting Conditions Through Fuzzy Rules
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
On Differential Stroke Diagnosis by Neuro-fuzzy Structures
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
Extracting symbolic knowledge from recurrent neural networks---A fuzzy logic approach
Fuzzy Sets and Systems
The clustering algorithm for nonlinear system identification
WSEAS Transactions on Computers
GENERATING AUTOMATIC FUZZY SYSTEM FROM RELATIONAL DATABASE SYSTEM FOR ESTIMATING NULL VALUES
Cybernetics and Systems
A survey of approaches to context adaptation of fuzzy systems
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
Looking for a good fuzzy system interpretability index: An experimental approach
International Journal of Approximate Reasoning
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
Fuzzy associative conjuncted maps network
IEEE Transactions on Neural Networks
A new methodology to improve interpretability in neuro-fuzzy TSK models
Applied Soft Computing
A standard expert system for weapon target assignment problem
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
CART data analysis to attain interpretability in a fuzzy logic classifier
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
Fuzzy Sets and Systems
Interpretable decisions by means of similarities and modifiers
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Fuzzy-CCM: A context-sensitive approach to fuzzy modeling
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
CBA generated receptive fields implemented in a facial expression recognition task
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Similarities in fuzzy data mining: from a cognitive view to real-world applications
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
eFSM: a novel online neural-fuzzy semantic memory model
IEEE Transactions on Neural Networks
Analysis of artificial neural network learning near temporary minima: A fuzzy logic approach
Fuzzy Sets and Systems
Modelling of web domain visits by IF-inference system
WSEAS Transactions on Computers
Information Sciences: an International Journal
A gradient-descent-based approach for transparent linguistic interface generation in fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Designing simulated annealing and subtractive clustering based fuzzy classifier
Applied Soft Computing
Fuzzy model tuning using simulated annealing
Expert Systems with Applications: An International Journal
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
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
Learning interpretable fuzzy inference systems with FisPro
Information Sciences: an International Journal
Data driven generation of fuzzy systems: an application to breast cancer detection
CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
Multi-objective evolutionary fuzzy systems
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
A neuro-fuzzy system for the prediction of the vehicle traffic flow
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
Fuzzy criteria for feature selection
Fuzzy Sets and Systems
Uncalibrated visual servoing in 3d workspace
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Analysis of the TaSe-II TSK-Type fuzzy system for function approximation
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Comparison of SVM-fuzzy modelling techniques for system identification
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Granular fuzzy inference system (FIS) design by lattice computing
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Clustering-Based TSK neuro-fuzzy model for function approximation with interpretable sub-models
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
TaSe model for long term time series forecasting
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Expert Systems with Applications: An International Journal
A Neuro-Fuzzy Identification of ECG Beats
Journal of Medical Systems
eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System
Information Sciences: an International Journal
New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model
Information Sciences: an International Journal
Fuzzy-Rule Based Adaptive Data Warehouse: An Extension of Data Warehouse as Knowledge Warehouse
International Journal of Applied Evolutionary Computation
A hierarchical procedure for the synthesis of ANFIS networks
Advances in Fuzzy Systems
A decision-making mechanism for context inference in pervasive healthcare environments
Decision Support Systems
Ship maneuvering modeling based on fuzzy rules extraction and optimization
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Remote usability evaluation using eye tracking enhanced with intelligent data analysis
DUXU'13 Proceedings of the Second international conference on Design, User Experience, and Usability: design philosophy, methods, and tools - Volume Part I
Approximating the optimal mapping for weapon target assignment by fuzzy reasoning
Information Sciences: an International Journal
Prediction of shear strength of FRP reinforced concrete beams using fuzzy inference system
Expert Systems with Applications: An International Journal
Adaptability, interpretability and rule weights in fuzzy rule-based systems
Information Sciences: an International Journal
Rule base identification in fuzzy networks by Boolean matrix equations
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Fuzzy inference systems (FIS) are widely used for process simulation or control. They can be designed either from expert knowledge or from data. For complex systems, FIS based on expert knowledge only may suffer from a loss of accuracy. This is the main incentive for using fuzzy rules inferred from data. Designing a FIS from data can be decomposed into two main phases: automatic rule generation and system optimization. Rule generation leads to a basic system with a given space partitioning and the corresponding set of rules. System optimization can be done at various levels. Variable selection can be an overall selection or it can be managed rule by rule. Rule base optimization aims to select the most useful rules and to optimize rule conclusions. Space partitioning can be improved by adding or removing fuzzy sets and by tuning membership function parameters. Structure optimization is of a major importance: selecting variables, reducing the rule base and optimizing the number of fuzzy sets. Over the years, many methods have become available for designing FIS from data. Their efficiency is usually characterized by a numerical performance index. However, for human-computer cooperation another criterion is needed: the rule interpretability. An implicit assumption states that fuzzy rules are by nature easy to be interpreted. This could be wrong when dealing with complex multivariable systems or when the generated partitioning is meaningless for experts. The paper analyzes the main methods for automatic rule generation and structure optimization. They are grouped into several families and compared according to the rule interpretability criterion. For this purpose, three conditions for a set of rules to be interpretable are defined