Mining fuzzy association rules for classification problems
Computers and Industrial Engineering
Learning premises of fuzzy rules for knowledge acquisition in classification problems
Knowledge and Information Systems
Finding fuzzy classification rules using data mining techniques
Pattern Recognition Letters
Learning fuzzy rules from iterative execution of games
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Finding useful fuzzy concepts for pattern classification using genetic algorithm
Information Sciences: an International Journal
Design of hierarchical fuzzy model for classification problem using GAs
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Fuzzy modeling of fluidized catalytic cracking unit
Applied Soft Computing
A weighted fuzzy classifier and its application to image processing tasks
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Automatic tuning of complex fuzzy systems with Xfuzzy
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A parallel genetic local search algorithm for intrusion detection in computer networks
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A proposed method for learning rule weights in fuzzy rule-based classification systems
Fuzzy Sets and Systems
Classification models analysis of internal human population migration in districts
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Improved genetic algorithm for optimal design of fuzzy classifier
International Journal of Computer Applications in Technology
Incremental local linear fuzzy classifier in fisher space
EURASIP Journal on Advances in Signal Processing
Design of hierarchical fuzzy model for classification problem using GAs
Computers and Industrial Engineering
Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
A Framework for Designing a Fuzzy Rule-Based Classifier
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Just in time classifiers: managing the slow drift case
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Design of adaptive fuzzy model for classification problem
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Fuzzy diagnostic system for railway bridges
CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
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Development of an adaptive neuro-fuzzy classifier using linguistic hedges: Part 1
Expert Systems with Applications: An International Journal
A maximizing-discriminability-based self-organizing fuzzy network for classification problems
IEEE Transactions on Fuzzy Systems
Synthesis and analysis of fuzzy diagnostic systems for railway bridges
WSEAS Transactions on Information Science and Applications
An information theoretic approach to generating fuzzy hypercubes for if-then classifiers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Optimized fuzzy decision tree using genetic algorithm
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Rule weights in a neuro-fuzzy system with a hierarchical domain partition
International Journal of Applied Mathematics and Computer Science
Refinement of fuzzy production rules by using a fuzzy-neural approach
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Fuzzy classification using the data envelopment analysis
Knowledge-Based Systems
A fuzzy classification system based on Ant Colony Optimization for diabetes disease diagnosis
Expert Systems with Applications: An International Journal
Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
Applied Intelligence
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
Expert Systems with Applications: An International Journal
Fuzzy classification in web usage mining using fuzzy quantifiers
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Adaptability, interpretability and rule weights in fuzzy rule-based systems
Information Sciences: an International Journal
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This paper proposes an adaptive method to construct a fuzzy rule-based classification system with high performance for pattern classification problems. The proposed method consists of two procedures: an error correction-based learning procedure, and an additional learning procedure. The error correction-based learning procedure adjusts the grade of certainty of each fuzzy rule by its classification performance. That is, when a pattern is misclassified by a particular fuzzy rule, the grade of certainty of that rule is decreased. On the contrary, when a pattern is correctly classified, the grade of certainty is increased. Because the error correction-based learning procedure is not meaningful after all the given patterns are correctly classified, we cannot adjust a classification boundary in such a case. To acquire a more intuitively acceptable boundary, we propose an additional learning procedure. We also propose a method for selecting significant fuzzy rules by pruning unnecessary fuzzy rules, which consists of the error correction-based learning procedure and the concept of forgetting. We can construct a compact fuzzy rule-based classification system with high performance