Hybrid Algorithm for Tuning Feature Weights in a Fuzzy Classifier

The paper proposes the use of a hybrid optimization algorithm to tune the weighting coefficients of features in order to increase the quality of fuzzy classifiers in processing imbalanced data. Tuning the weights is intended to adjust the importance of the features in the rule base. A method for calculating fuzzy inference taking into account weight coefficients is proposed. The hybrid is based on...