Attribute reduction is viewed as an important preprocessing step for pattern recognition and
data mining. Most of researches are focused on attribute reduction by using rough sets …

In high terrestrial stress regions, rock burst is a major geological disaster influencing
underground engineering construction significantly. How to carry out efficient and accurate …

In many practical problems, games between conditions (costs) and decisions (goals) at
different scales have often been encountered. Obtaining acceptable decisions under weaker …

Attribute reduction is viewed as a kind of preprocessing steps for reducing large
dimensionality in data mining of all complex systems. A great deal of researchers have …

In this paper, we propose a new type of fuzzy covering-based rough set model over two
different universes by using Zadeh's extension principle. We mainly address the following …

Attribute reduction is considered as an important preprocessing step for pattern recognition,
machine learning, and data mining. This paper provides a systematic study on attribute …

The process of attribute reduction is a critical aspect of rough set theory as applied to data
analysis. Several methods for attribute reduction have been outlined in previous studies. For …

The performance of Nearest Neighbor (NN) classifier is known to be sensitive to the distance
(or similarity) function used in classifying a test instance. Another major disadvantage of NN …

Covering rough sets generalize traditional rough sets by considering coverings of the
universe instead of partitions, and neighborhood-covering rough sets have been …

Granular structure is a mathematical expression of knowledge in granular computing and a
direct determinant of the data processing efficiency. To improve the efficiency of data …