Fuzzy Logic-A Modern Perspective
IEEE Transactions on Knowledge and Data Engineering
Structure identification and parameter optimization for non-linear fuzzy modeling
Fuzzy Sets and Systems - Fuzzy systems
SVD Reduction in Continuos Environment Reinforcement Learning
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Learning fuzzy rules from iterative execution of games
Fuzzy Sets and Systems - Theme: Modeling and learning
International Journal of Approximate Reasoning
Evolving structure and parameters of fuzzy models with interpretable membership functions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Robust H∞ fuzzy control of nonlinear systems with multiple time delays
International Journal of Systems Science
Rule reduction for efficient inferencing in similarity based reasoning
International Journal of Approximate Reasoning
Fuzzy model validation using the local statistical approach
Fuzzy Sets and Systems
Computers & Mathematics with Applications
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems
Applied Intelligence
A novel rule antecedent structure and its identification for fuzzy models
ACC'09 Proceedings of the 2009 conference on American Control Conference
Engineering Applications of Artificial Intelligence
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Model fusion using fuzzy aggregation: Special applications to metal properties
Applied Soft Computing
Artificial Intelligence in Medicine
A quantifier-based fuzzy classification system for breast cancer patients
Artificial Intelligence in Medicine
Rule base simplification by using a similarity measure of fuzzy sets
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A new method for fuzzy rule base reduction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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An important issue in fuzzy-rule-based modeling is how to select a set of important fuzzy rules from a given rule base. Even though it is conceivable that removal of redundant or less important fuzzy rules from the rule base can result in a compact fuzzy model with better generalizing ability, the decision as to which rules are redundant or less important is not an easy exercise. In this paper, we introduce several orthogonal transformation-based methods that provide new or alternative tools for rule selection. These methods include an orthogonal least squares (OLS) method, an eigenvalue decomposition (ED) method, a singular value decomposition and QR with column pivoting (SVD-QR) method, a total least squares (TLS) method, and a direct singular value decomposition (D-SVD) method. A common attribute of these methods is that they all work on a firing strength matrix and employ some measure index to detect the rules that should be retained and eliminated. We show the performance of these methods by applying them to solving a nonlinear plant modeling problem. Our conclusions based on analysis and simulation can be used as a guideline for choosing a proper rule selection method for a specific application