On Interpretability of Fuzzy Models
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Learning fuzzy rules from iterative execution of games
Fuzzy Sets and Systems - Theme: Modeling and learning
Extracting Interpretable Fuzzy Rules from RBF Networks
Neural Processing Letters
Accuracy, comprehensibility and completeness evaluation of a fuzzy expert system
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Robust Solution to Fuzzy Identification Problem with Uncertain Data by Regularization
Fuzzy Optimization and Decision Making
Robust Adaptive Identification of Fuzzy Systems with Uncertain Data
Fuzzy Optimization and Decision Making
A weighting function for improving fuzzy classification systems performance
Fuzzy Sets and Systems
Logic - Oriented Fuzzy Neural Networks
International Journal of Hybrid Intelligent Systems
Rule extraction, complexity reduction and evolutionary optimization for fuzzy modeling
International Journal of Knowledge-based and Intelligent Engineering Systems - Soft Computing and its Applications to E-Business
Resource allocation by genetic algorithm with fuzzy inference
Expert Systems with Applications: An International Journal
Adaptive fuzzy control of a non-linear servo-drive: Theory and experimental results
Engineering Applications of Artificial Intelligence
Fuzzy Classification with Multi-objective Evolutionary Algorithms
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
Evolutionary multiobjective fuzzy system design
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Generating artificial populations using a multi-level fuzzy inference engine
Proceedings of the 40th Conference on Winter Simulation
Applied Artificial Intelligence
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
A fuzzy modeling method via Enhanced Objective Cluster Analysis for designing TSK model
Expert Systems with Applications: An International Journal
A machine learning approach for the support of preliminary structural design
Advanced Engineering Informatics
Logic-oriented neural networks for fuzzy neurocomputing
Neurocomputing
Knowledge-based parameter identification of TSK fuzzy models
Applied Soft Computing
Expert Systems with Applications: An International Journal
Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system
Engineering Applications of Artificial Intelligence
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
Development of quantum-based adaptive neuro-fuzzy networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy-CCM: A context-sensitive approach to fuzzy modeling
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Comparison of spatial interpolation methods for estimating heavy metals in sediments of Caspian Sea
Expert Systems with Applications: An International Journal
A multi-objective neuro-evolutionary algorithm to obtain interpretable fuzzy models
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
International Journal of Approximate Reasoning
Large scale knowledge-based simulation models: an aproximation to the north-south remittances model
Winter Simulation Conference
Design of fuzzy rule-based classifiers with semantic cointension
Information Sciences: an International Journal
Knowledge extraction and representation using quantum mechanics and intelligent models
Expert Systems with Applications: An International Journal
Fault fuzzy rule extraction from AC motors by neuro-fuzzy models
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
An energy-gain bounding approach to robust fuzzy identification
Automatica (Journal of IFAC)
A hierarchical approach to multi-class fuzzy classifiers
Expert Systems with Applications: An International Journal
Complexity management methodology for fuzzy systems with feedback rule bases
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.01 |
This article is a reaction to recent publications on rule-based modeling using fuzzy set theory and fuzzy logic. The interest in fuzzy systems has recently shifted from the seminal ideas about complexity reduction toward data-driven construction of fuzzy systems. Many algorithms have been introduced that aim at numerical approximation of functions by rules, but pay little attention to the interpretability of the resulting rule base. We show that fuzzy rule-based models acquired from measurements can be both accurate and transparent by using a low number of rules. The rules are generated by product-space clustering and describe the system in terms of the characteristic local behavior of the system in regions identified by the clustering algorithm. The fuzzy transition between rules makes it possible to achieve precision along with a good qualitative description in linguistic terms. The latter is useful for expert evaluation, rule-base maintenance, operator training, control systems design, user interfacing, etc. We demonstrate the approach on a modeling problem from a recently published article