The fuzzy weighted additive rule
Fuzzy Sets and Systems
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
C4.5: programs for machine learning
C4.5: programs for machine learning
Fuzzy set theoretic measures for automatic feature evaluation II
Information Sciences: an International Journal
A learning procedure to identify weighted rules by neural networks
Fuzzy Sets and Systems
Induction of fuzzy decision trees
Fuzzy Sets and Systems
A note on the fuzzy weighted additive rule
Fuzzy Sets and Systems
Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems
Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
Weighted fuzzy production rules
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
Hierarchical fuzzy partition for pattern classification with fuzzy if-then rules
Pattern Recognition Letters
Machine Learning
Fuzzy if-Then Rules in Computational Intelligence: Theory and Applications
Fuzzy if-Then Rules in Computational Intelligence: Theory and Applications
Extracting compact fuzzy rules based on adaptive data approximation using B-splines
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
Finding fuzzy classification rules using data mining techniques
Pattern Recognition Letters
Automatic generation of fuzzy rule-based models from data by genetic algorithms
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm
Pattern Recognition Letters
Extracting fuzzy if-then rules by using the information matrix technique
Journal of Computer and System Sciences
Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis
Information Sciences: an International Journal
Extraction of fuzzy rules from support vector machines
Fuzzy Sets and Systems
Dimensionality reduction using genetic algorithms
IEEE Transactions on Evolutionary Computation
A comparative study on heuristic algorithms for generating fuzzydecision trees
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Refinement of generated fuzzy production rules by using a fuzzy neural network
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Handling interaction in fuzzy production rule reasoning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SLAVE: a genetic learning system based on an iterative approach
IEEE Transactions on Fuzzy Systems
GA-fuzzy modeling and classification: complexity and performance
IEEE Transactions on Fuzzy Systems
Improving learning accuracy of fuzzy decision trees by hybrid neural networks
IEEE Transactions on Fuzzy Systems
Effect of rule weights in 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
Thresholding using two-dimensional histogram and fuzzy entropy principle
IEEE Transactions on Image Processing
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
A gradient-descent-based approach for transparent linguistic interface generation in fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information Sciences: an International Journal
New results on H∞ filtering for fuzzy systems with interval time-varying delays
Information Sciences: an International Journal
Dynamic time warping constraint learning for large margin nearest neighbor classification
Information Sciences: an International Journal
Information Sciences: an International Journal
Prediction and query evaluation using linguistic decision trees
Applied Soft Computing
A method for stochastic multiple criteria decision making based on dominance degrees
Information Sciences: an International Journal
On the properties of concept classes induced by multivalued Bayesian networks
Information Sciences: an International Journal
Information Sciences: an International Journal
A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers
Information Sciences: an International Journal
Information Sciences: an International Journal
Eigenclassifiers for combining correlated classifiers
Information Sciences: an International Journal
Supervised subspace projections for constructing ensembles of classifiers
Information Sciences: an International Journal
Combining Uncertainty Sampling methods for supporting the generation of meta-examples
Information Sciences: an International Journal
Multi-view learning via probabilistic latent semantic analysis
Information Sciences: an International Journal
Cross-entropy measure of uncertain variables
Information Sciences: an International Journal
Halfway through the semantic gap: Prosemantic features for image retrieval
Information Sciences: an International Journal
Data envelopment analysis classification machine
Information Sciences: an International Journal
Test-cost-sensitive attribute reduction
Information Sciences: an International Journal
A parsimony fuzzy rule-based classifier using axiomatic fuzzy set theory and support vector machines
Information Sciences: an International Journal
Model selection in omnivariate decision trees using Structural Risk Minimization
Information Sciences: an International Journal
An efficient method for learning nonlinear ranking SVM functions
Information Sciences: an International Journal
Derivation of an amplitude of information in the setting of a new family of fractional entropies
Information Sciences: an International Journal
Generation of a probabilistic fuzzy rule base by learning from examples
Information Sciences: an International Journal
A preference learning approach to sentence ordering for multi-document summarization
Information Sciences: an International Journal
Dynamic fusion method using Localized Generalization Error Model
Information Sciences: an International Journal
Cascaded classification of high resolution remote sensing images using multiple contexts
Information Sciences: an International Journal
A twin-hypersphere support vector machine classifier and the fast learning algorithm
Information Sciences: an International Journal
Probabilistic support vector machines for classification of noise affected data
Information Sciences: an International Journal
Multi-label ensemble based on variable pairwise constraint projection
Information Sciences: an International Journal
Information Sciences: an International Journal
Intuitionistic fuzzy-valued Choquet integral and its application in multicriteria decision making
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Image denoising using SVM classification in nonsubsampled contourlet transform domain
Information Sciences: an International Journal
Kernel self-optimization learning for kernel-based feature extraction and recognition
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
| Hi-index | 0.00 |
When fuzzy IF-THEN rules initially extracted from data have not a satisfying performance, we consider that the rules require refinement. Distinct frommost existing rule-refinement approaches that are based on the further reduction of training error, this paper proposes a new rule-refinement scheme that is based on the maximization of fuzzy entropy on the training set. The new scheme, which is realized by solving a quadratic programming problem, is expected to have the advantages of improving the generalization capability of initial fuzzy IF-THEN rules and simultaneously overcoming the overfitting of refinement. Experimental results on a number of selected databases demonstrate the expected improvement of generalization capability and the prevention of overfitting by a comparison of both training and testing accuracy before and after the refinement.