Structure identification of fuzzy model
Fuzzy Sets and Systems
Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Construction of fuzzy models through clustering techniques
Fuzzy Sets and Systems
Fuzzy system modeling by fuzzy partition and GA hybrid schemes
Fuzzy Sets and Systems
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
A clustering algorithm for fuzzy model identification
Fuzzy Sets and Systems
About the use of fuzzy clustering techniques for fuzzy model identification
Fuzzy Sets and Systems
Communications of the ACM
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Hierarchical neuro-fuzzy quadtree models
Fuzzy Sets and Systems - Fuzzy models
A proposed method for learning rule weights in fuzzy rule-based classification systems
Fuzzy Sets and Systems
Neuro-Fuzzy System with Hierarchical Domain Partition
CIMCA '08 Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & Automation
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
A new approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
A transformed input-domain approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
Effect of rule weights in fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
Self-adaptive neuro-fuzzy inference systems for classification applications
IEEE Transactions on Fuzzy Systems
Rule Weight Specification in Fuzzy Rule-Based Classification Systems
IEEE Transactions on Fuzzy Systems
A new approach to fuzzy-neural system modeling
IEEE Transactions on Fuzzy Systems
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The paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results showing the advantage of their usage are presented.