In this paper, we propose an efficient quick attribute reduct algorithm based on
neighborhood rough set model. In this algorithm we divide the objects (records) of the whole …

Some expanded fuzzy rough set models have been investigated to handle fuzzy databases
with uncertain, imprecise and incomplete real-valued information. However, some of them …

This paper focuses on three types of attribute reducts in inconsistent decision tables:
assignment reduct, distribution reduct, and maximum distribution reduct. It is quite …

Accurate wind speed prediction is a prerequisite of large-scale wind power generation.
There are several uncertain factors which degrade the performance of the current wind …

One important and valuable topic in rough set theory is the concept of approximation over
various generalized information systems. Although rough set models and approaches over …

An explicit rough–fuzzy model for pattern classification is proposed in the present paper. The
model explores and provides the synergistic integration of the merits of both fuzzy and rough …

Gas turbines are considered as one kind of the most important devices in power engineering
and have been widely used in power generation, airplanes, and naval ships and also in oil …

In multi-label learning task, each sample may be assigned with one or more labels.
Moreover multi-label classification tasks are often characterized by high-dimensional and …

Data dimensionality has become a pervasive problem in many areas that require the
learning of interpretable models. This has become particularly pronounced in recent years …

针对传统支持向量机(Support Vector Machine, SVM) 集成学习(Ensemble Learning, EL)
方法不能够解决高维复杂数据且子学习器差异性小集成效果不明显的问题 …