Accuracy, comprehensibility and completeness evaluation of a fuzzy expert system
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Design of transparent mamdani fuzzy inference systems
Design and application of hybrid intelligent systems
A PSO-aided neuro-fuzzy classifier employing linguistic hedge concepts
Expert Systems with Applications: An International Journal
Eliciting transparent fuzzy model using differential evolution
Applied Soft Computing
Designing of classifiers based on immune principles and fuzzy rules
Information Sciences: an International Journal
Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
International Journal of Approximate Reasoning
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
Expert Systems with Applications: An International Journal
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
An improved approach to find membership functions and multiple minimum supports in fuzzy data mining
Expert Systems with Applications: An International Journal
Improved genetic algorithm for optimal design of fuzzy classifier
International Journal of Computer Applications in Technology
An ACS-based framework for fuzzy data mining
Expert Systems with Applications: An International Journal
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems
Applied Intelligence
Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system
Information Sciences: an International Journal
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
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
SparseFIS: data-driven learning of fuzzy systems with sparsity constraints
IEEE Transactions on Fuzzy Systems
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Expert Systems with Applications: An International Journal
Interpretability assessment of fuzzy knowledge bases: A cointension based approach
International Journal of Approximate Reasoning
Fuzzy model tuning using simulated annealing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Design of fuzzy rule-based classifiers with semantic cointension
Information Sciences: an International Journal
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Evolutionary design of fuzzy classifiers using information granules
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Fuzzy classifier with bayes rule consequent
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Design of fuzzy rule-based classifier: pruning and learning
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
A Neuro-Fuzzy Identification of ECG Beats
Journal of Medical Systems
A fuzzy classification system based on Ant Colony Optimization for diabetes disease diagnosis
Expert Systems with Applications: An International Journal
A genetic reduction of feature space in the design of fuzzy models
Applied Soft Computing
Granular fuzzy models: a study in knowledge management in fuzzy modeling
International Journal of Approximate Reasoning
International Journal of Artificial Intelligence and Soft Computing
Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
Applied Intelligence
A systematic fuzzy rule based approach for fault classification in transmission lines
Applied Soft Computing
An Intelligent Operator for Genetic Fuzzy Rule Based System
International Journal of Intelligent Information Technologies
A hierarchical approach to multi-class fuzzy classifiers
Expert Systems with Applications: An International Journal
Development of optimal fuzzy models for predicting the strength of intact rocks
Computers & Geosciences
Hybrid-fuzzy modeling and identification
Applied Soft Computing
Complexity management methodology for fuzzy systems with feedback rule bases
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In our previous work (2000) we showed that genetic algorithms (GAs) provide a powerful tool to increase the accuracy of fuzzy models for both systems modeling and classification. In addition to these results, we explore the GA to find redundancy in the fuzzy model for the purpose of model reduction. An aggregated similarity measure is applied to search for redundancy in the rule base description. As a result, we propose an iterative fuzzy identification technique starting with data-based fuzzy clustering with an overestimated number of local models. The GA is then applied to find redundancy among the local models with a criterion based on maximal accuracy and maximal set similarity. After the reduction steps, the GA is applied with another criterion searching for minimal set similarity and maximal accuracy. This results in an automatic identification scheme with fuzzy clustering, rule base simplification and constrained genetic optimization with low-human intervention. The proposed modeling approach is then demonstrated for a system identification and a classification problem