A new approach for reduction of attributes based on stripped quotient sets

作者：

Highlights：

• We propose an original method for attribute reduction based on stripped quotient sets.

• The proposed method has solid theoretical background and algorithms.

• The proposed method reports the superior results when compared to the state-of-the-art methods.

摘要

•We propose an original method for attribute reduction based on stripped quotient sets.•The proposed method has solid theoretical background and algorithms.•The proposed method reports the superior results when compared to the state-of-the-art methods.

论文关键词：Rough set,Attribute reduction,Core attributes,Stripped quotient set,Attribute significance measure

论文评审过程：Received 16 March 2018, Revised 5 July 2019, Accepted 13 August 2019, Available online 20 August 2019, Version of Record 23 August 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.106999