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Selecting fuzzy if-then rules for classification problems using genetic algorithms

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Outgoing claims: the papers this work cites, builds on, or argues with.

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An introductory survey of fuzzy control
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Distributed representation of fuzzy rules and its application to pattern classification
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Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
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Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology
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Neural-network-based fuzzy logic control and decision system
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Generating fuzzy rules by learning from examples
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Fuzzy logic in control systems: fuzzy logic controller. I
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Self-learning fuzzy controllers based on temporal backpropagation
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Learning and tuning fuzzy logic controllers through reinforcements
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On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
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Adjusting membership functions of fuzzy classification rules by genetic algorithms
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A fuzzy-logic-based approach to qualitative modeling
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Fuzzy control of pH using genetic algorithms
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Fuzzy identification of systems and its applications to modeling and control
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THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.3156/jfuzzy.2.3_429openalex-snapshot
Learning Control by Fuzzy Models Using a Simplified Fuzzy Reasoning
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Genetic algorithms in search, optimization, and machine learning
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Adaptation in Natural and Artificial Systems

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Evolution of Fuzzy Classifiers Using Genetic Programming
inferred← citeshttps://doi.org/10.1007/s13369-013-0697-8openalex-snapshot
A Novel Weight Adjustment Method for Handling Concept-Drift in Data Stream Classification
inferred← citeshttps://doi.org/10.1007/s40815-017-0443-6openalex-snapshot
A New Approach for Time Series Prediction Using Ensembles of IT2FNN Models with Optimization of Fuzzy Integrators
inferred← citeshttps://doi.org/10.1007/s40815-018-0478-3openalex-snapshot
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification
inferred← citeshttps://doi.org/10.1007/s40815-023-01534-wopenalex-snapshot
Literature Review of the Recent Trends and Applications in Various Fuzzy Rule-Based Systems
inferred← citeshttps://doi.org/10.1016/b978-0-12-823889-9.00001-1openalex-snapshot
Genetic algorithms and other heuristic techniques in power systems optimization
inferred← citeshttps://doi.org/10.1016/b978-0-323-95686-4.00001-0openalex-snapshot
A systematic review on intelligent diagnosis of diabetes using rule-based machine learning techniques
inferred← citeshttps://doi.org/10.1016/b978-0-443-18655-4.00009-1openalex-snapshot
Artificial intelligence applications in pharmaceutical technology
inferred← citeshttps://doi.org/10.1016/b978-012443870-5.50010-1openalex-snapshot
Identifying Fuzzy Rule-Based Models Using Orthogonal Transformation and Backpropagation
inferred← citeshttps://doi.org/10.1016/b978-012443870-5.50042-3openalex-snapshot
Techniques and Applications of Genetic Algorithm-Based Methods for Designing Compact Fuzzy Classification Systems
inferred← citeshttps://doi.org/10.1016/b978-012443870-5.50047-2openalex-snapshot
Techniques and Applications of Integrated Neural Network-Based Fuzzy Logic Control Systems
inferred← citeshttps://doi.org/10.1016/b978-012443870-5.50053-8openalex-snapshot
Techniques and Applications of Neural Networks for Fuzzy Rule Approximation
inferred← citeshttps://doi.org/10.1016/b978-012443870-5.50058-7openalex-snapshot
Techniques and Applications of Hybrid Fuzzy Learning Theory to Systems Modeling
inferred← citeshttps://doi.org/10.1016/b978-012443875-0/50030-6openalex-snapshot
Learning and Tuning Fuzzy Rule-Based Systems for Linguistic Modeling
inferred← citeshttps://doi.org/10.1016/b978-1-84334-667-8.50015-7openalex-snapshot
Appendix 2: tools
inferred← citeshttps://doi.org/10.1016/b978-155860759-0/50012-3openalex-snapshot
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