Hybrid filter–wrapper attribute selection with alpha-level fuzzy rough sets

作者：

Highlights：

• Attribute selection with continuous numerical/real attributes are challenging.

• The basic concept of new α-level fuzzy rough set model was developed.

• The novel proposed method was constructed based on this model.

• Results show the superiority of the proposed method.

摘要

•Attribute selection with continuous numerical/real attributes are challenging.•The basic concept of new α-level fuzzy rough set model was developed.•The novel proposed method was constructed based on this model.•Results show the superiority of the proposed method.

论文关键词：Attribute selection,Reducts,Decision information systems,α-level fuzzy rough sets,α-level fuzzy certainty factor,Numerical/real attributes

论文评审过程：Received 29 August 2021, Revised 1 November 2021, Accepted 18 December 2021, Available online 13 January 2022, Version of Record 20 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116428