Axiomatic fuzzy set (AFS) theory facilitates a way on how to transform data into fuzzy sets
(membership functions) and implement their fuzzy logic operations, which provides a flexible …

In exploratory data mining, most classifiers pay more attention on the accuracy and speed of
learned models, but they are lacking of the interpretability. In this paper, an interpretable and …

Based on axiomatic fuzzy set (AFS) theory and fuzzy information entropy, a novel fuzzy
oblique decision tree (FODT) algorithm is proposed in this paper. Traditional axis-parallel …

There are many classification tasks in the real world and the digital world. Therefore,
classification tasks have always been a hot spot. Nowadays, there are numerous classifiers …

There are a wide variety of classification problems in the world, so the classification task has
always been a fundamental and important machine learning problem. However, many …

The classification with both semantic description and accuracy performance is an appealing
issue in the fields of pattern recognition and data mining. In this study, we make an attempt …