Double-quantitative fusion of accuracy and importance: Systematic measure mining, benign integration construction, hierarchical attribute reduction

作者：

Highlights：

•

• IP-Accuracy is mined by systematic double-quantitative fusion of causality measures.

• IP-Accuracy GrC integration is constructed to gain benign granulation monotonicity.

• IP-Accuracy attribute reduction is studied to establish a hierarchical reduct system.

摘要

•IP-Accuracy is mined by systematic double-quantitative fusion of causality measures.•IP-Accuracy GrC integration is constructed to gain benign granulation monotonicity.•IP-Accuracy attribute reduction is studied to establish a hierarchical reduct system.

论文关键词：Rough set theory,Granular computing,Attribute reduction,Uncertainty measure,Double quantification

论文评审过程：Received 4 February 2015, Revised 30 August 2015, Accepted 1 September 2015, Available online 7 September 2015, Version of Record 3 December 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.09.001