The Strength of Weak Learnability
Machine Learning
Network generalization differences quantified
Neural Networks
Machine Learning
Engineering multiversion neural-net systems
Neural Computation
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
How good are fuzzy If-Then classifiers?
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper, a classifier ensemble method based on fuzzy integral for fuzzy classifiers is proposed. The object of this method is to reduce subjective factor in building a fuzzy classifier, and to improve the classification recognition rate and stability for classification system. For this object, a method of determining fuzzy integral density based on membership matrix is proposed, and the classifier ensemble algorithm based on fuzzy integral is introduced. The method of selecting classifier sets is also presented. The proposed method is evaluated by the comparison of experiments with standard data sets and the existed classifier ensemble methods.