Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy

作者：

Highlights：

• A novel fuzzy rough set-based information entropy is constructed for mixed data.

• The proposed entropy can equivalently characterize the existing attribute reductions in the fuzzy rough set theory.

• A feature selection algorithm is formulated based on the proposed entropy.

• A filter-wrapper method is suggested to select a best feature subset.

摘要

Highlights•A novel fuzzy rough set-based information entropy is constructed for mixed data.•The proposed entropy can equivalently characterize the existing attribute reductions in the fuzzy rough set theory.•A feature selection algorithm is formulated based on the proposed entropy.•A filter-wrapper method is suggested to select a best feature subset.

论文关键词：Mixed data,Feature selection,Fuzzy rough set theory,Information entropy

论文评审过程：Received 1 July 2015, Revised 2 February 2016, Accepted 22 February 2016, Available online 3 March 2016, Version of Record 12 April 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.02.013