Group decision making (GDM) is a useful uncertain decision theory and tool. With the
evolution of time, GDM problems become more and more complex. In reality, there are …

Data-driven fault diagnosis is more suitable than model-based methods for diagnosing the
complicated spacecraft systems, eg, the satellite power system, because of its simplicity and …

At present, China's air pollution and its treatment effect are issues of general concern in the
academic circles. Based on the analysis of the development stages of air pollution in China …

Decision-theoretic rough sets (DTRSs), which can be considered as generalized rough set
models produced by Bayesian risk minimum and three-way decisions (3WD) theories, have …

A cadmium (Cd) stress test was carried out on Eisenia fetida in artificial soil. Six Cd
concentration gradient solutions (0, 50, 100, 125, 250 and 500 mg/kg) were prepared. Two …

Planning of collision-free trajectory for robot motion under hard constraints and
unpredictable environment is a difficult issue. To cope with this problem, this paper presents …

Fault diagnosis (FD) is an important foundation for the maintenance of complex aerospace
systems, such as satellite power systems, in which the attribute reduction has essential effect …

Weight assignment of attribute is considered as a key part of multiple attribute decision
making (MADM), and this is also applicable to labeled multiple attribute decision making …

In practical scenarios of group decision-making (GDM), a wide range of attribute diversities
and varied information structures are encountered. Existing studies have given less attention …

This paper proposes a cluster-aware supervised learning (CluSL) framework, which
integrates the clustering analysis with supervised learning. The objective of CluSL is to …