A novel test-cost-sensitive attribute reduction approach using the binary bat algorithm

作者：

Highlights：

• We design a new fitness function based on inconsistent object pair.

• We propose a binary bat algorithm for MTRP.

• We propose four different metrics for evaluating different algorithms.

• Our approach has certain advantages compared with the state-of-the-art algorithms.

摘要

•We design a new fitness function based on inconsistent object pair.•We propose a binary bat algorithm for MTRP.•We propose four different metrics for evaluating different algorithms.•Our approach has certain advantages compared with the state-of-the-art algorithms.

论文关键词：Rough set,Attribute reduction,Test-cost-sensitive,Binary bat algorithm

论文评审过程：Received 17 December 2017, Revised 28 June 2019, Accepted 11 August 2019, Available online 13 August 2019, Version of Record 5 November 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.104938