On reduction of attributes in inconsistent decision tables based on information entropies and stripped quotient sets

作者：

Highlights：

• We propose a proposal for attribute reduction based on stripped quotient sets.

• The proposed proposal has solid theoretical background and efficient algorithms.

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

摘要

•We propose a proposal for attribute reduction based on stripped quotient sets.•The proposed proposal has solid theoretical background and efficient algorithms.•The proposed proposal 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,Information entropy

论文评审过程：Received 7 September 2018, Revised 24 May 2019, Accepted 30 June 2019, Available online 4 July 2019, Version of Record 9 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.071