The prediction of bankruptcy using weighted fuzzy classifiers

Abstract

In real-world databases sometimes one of the classes is more difficult to classify then the others. This can happen, for instance, when one of the class is much bigger than the other. To cope with this problem, this paper proposes to assign specific weights to each class in the model evaluation criterion of the feature selection algorithm.