Rough set theory can be applied to rule induction. There are two different types of
classification rules, positive and boundary rules, leading to different decisions and …

This chapter emphasizes on the role played by rough set theory (RST) within the broad field
of Machine Learning (ML). As a sound data analysis and knowledge discovery paradigm …

Location selection plays a crucial role in the retail and service industries. A comprehensive
location selection model and appropriate analytical technique can improve the quality of …

Attribute reduction is one of the most fundamental and important topics in rough set theory.
Uncertainty measures play an important role in attribute reduction. In the classical rough set …

Set-valued information systems are important type of data tables in many real applications,
where the attribute values are described by sets to characterize uncertain and incomplete …

This study uses the variable precision rough set (VPRS) model as a tool to support group
decision-making (GDM) in credit risk management. We consider the case that the …

摘要文中深入研究了变精度粗糙集的属性约简问题, 给出了3 种属性约简的概念,
针对不同概念的属性约简, 分别提出了两种不同的求解变精度粗糙集最小属性约简算法 …

As an essential way of knowledge representation and knowledge acquisition in uncertainty
theory, variable precision rough set (VPRS) has been widely considered by researchers …

Competency development and management are widely regarded as vital tools to enhance
competitiveness for organizations. A number of studies have suggested a variety of …

To recruit and retain high-potential talent is critical for semiconductor companies to maintain
competitive advantages in a modern knowledge-based economy. Conventional personnel …