The interval-valued weighted feature ranking method based on aggregation functions

In this contribution, a new feature selection method is proposed. This method is based on aggregation functions and interval-valued aggregation functions. It was tested on the artificially obtained datasets with different amount of relevant, redundant, and irrelevant features. The proposed method outperforms known methods of feature selection, such as for example RFE or RFECV.