In the research spectrum of rough set, the task of attribute reduction is obtaining a minimal
attribute subset that preserves certain properties of the original data. Cost-sensitive attribute …

Sequential three-way decision (S3WD) is a multi-stage decision-making progress that
emulates human cognition. S3WD employs coarse-to-fine information granularity and uses …

Attribute reduction plays an important role in rough set theory. Many attribute reduction
methods have been proposed based on different definitions of attribute reduct, while an …

In extracting hidden information from a data, its high dimension can create challenges in the
quality of the extracted information and the search space size. Attribute reduction based on …

Script identification is a well-studied problem in literature since last decade. Several
methods for automatic script identification have been reported. All these methods consider a …

Abstract Knowledge reduction is complicated with the dynamic change of the object set in
applications. In this paper, we propose incremental approaches to computing the type-1 and …

Offline writer identification is one of the major fields of study in behavioral biometric. It is a
process of matching a questioned document with other documents of known writers to find …

Document analysis research starves from the availability of public datasets. Without publicly
available dataset, one cannot make fair comparison with the state-of-the-art methods. To …

Multi-objective cost-sensitive attribute reduction is an attractive problem in supervised
machine learning. Most research has focused on single-objective minimal test cost reduction …

As an effective tool for knowledge acquisition, attribute reduction is one of the key issues in
rough set theory. In current research, most researchers choose to reduce redundant …