Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
A neuro-fuzzy method to learn fuzzy classification rules from data
Fuzzy Sets and Systems - Special issue: application of neuro-fuzzy systems
Robust Classification for Imprecise Environments
Machine Learning
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Combining GP operators with SA search to evolve fuzzy rule based classifiers
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Approximative fuzzy rules approaches for classification with hybrid-GA techniques
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Comparison of Heuristic Criteria for Fuzzy Rule Selection in Classification Problems
Fuzzy Optimization and Decision Making
Finding useful fuzzy concepts for pattern classification using genetic algorithm
Information Sciences: an International Journal
International Journal of Approximate Reasoning
A weighting function for improving fuzzy classification systems performance
Fuzzy Sets and Systems
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hybridization of fuzzy GBML approaches for pattern classification problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A fuzzy classifier with ellipsoidal regions
IEEE Transactions on Fuzzy Systems
SLAVE: a genetic learning system based on an iterative approach
IEEE Transactions on Fuzzy Systems
Effect of rule weights in fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
Support vector learning for fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
Rule Weight Specification in Fuzzy Rule-Based Classification Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
IEEE Transactions on Neural Networks
A proposed method for learning rule weights in fuzzy rule-based classification systems
Fuzzy Sets and Systems
Designing of classifiers based on immune principles and fuzzy rules
Information Sciences: an International Journal
Constructing accurate fuzzy classifiers: A new adaptive method for rule-weight specification
International Journal of Knowledge-based and Intelligent Engineering Systems
Data gravitation based classification
Information Sciences: an International Journal
Information Sciences: an International Journal
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
A method of learning weighted similarity function to improve the performance of nearest neighbor
Information Sciences: an International Journal
Improving generalization of fuzzy IF-THEN rules by maximizing fuzzy entropy
IEEE Transactions on Fuzzy Systems
FR3: a fuzzy rule learner for inducing reliable classifiers
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Cooperative fuzzy rulebase construction based on a novel fuzzy decision tree
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
Collective intelligence: toward classifying systems of systems
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
A dynamic over-sampling procedure based on sensitivity for multi-class problems
Pattern Recognition
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
Voting based extreme learning machine
Information Sciences: an International Journal
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems
Information Sciences: an International Journal
Fuzzy classification using the data envelopment analysis
Knowledge-Based Systems
A parsimony fuzzy rule-based classifier using axiomatic fuzzy set theory and support vector machines
Information Sciences: an International Journal
Adaptability, interpretability and rule weights in fuzzy rule-based systems
Information Sciences: an International Journal
A new fuzzy rule-based classification system for word sense disambiguation
Intelligent Data Analysis
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In fuzzy rule-based classification systems, rule weight has often been used to improve the classification accuracy. In past research, a number of heuristic methods for rule weight specification have been proposed. In this paper, a method of fuzzy rule weight specification using Receiver Operating Characteristic (ROC) analysis is proposed. In order to specify the weight of a fuzzy rule, using 2-class ROC analysis, the threshold that the rule achieves its maximum accuracy is found. This threshold is used as the weight of the rule. The proposed method is compared with existing ones through computer simulations on some well-known classification problems with continuous attributes. Simulation results show that the proposed method performs better than existing methods of fuzzy rule weight specification.