Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction

作者：

Highlights：

• The novel fuzzy complementary entropy is defined by using hybrid-kernel function.

• It is proved that fuzzy complementary conditional entropy and fuzzy complementary mutual information change monotonously with attributes.

• The proposed uncertainty measures are applied to unsupervised hybrid attribute reduction.

摘要

•The novel fuzzy complementary entropy is defined by using hybrid-kernel function.•It is proved that fuzzy complementary conditional entropy and fuzzy complementary mutual information change monotonously with attributes.•The proposed uncertainty measures are applied to unsupervised hybrid attribute reduction.

论文关键词：Fuzzy rough set theory,Hybrid-kernel function,Complementary entropy,Uncertainty measure,Unsupervised attribute reduction

论文评审过程：Received 19 April 2021, Revised 8 July 2021, Accepted 12 August 2021, Available online 23 August 2021, Version of Record 31 August 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107398