Granular computing, an attractive branch of artificial intelligence, focuses on constructing,
processing and communicating information granules. Although various useful structures …

The existing research of multi-source information system, pessimistic or optimistic multi-
granulation fusion functions, provided by multi-granulation rough set (MGRS) theory, which …

Exploring rough sets from the perspective of covering represents a promising direction in
rough set theory, where concepts are approximated by substituting of an equivalent relation …

Feature selection is an important preprocessing step for classification as it improves the
accuracy and overcomes the complexity of the classification process. However, in order to …

In recent years, more and more methods and theories of multi-granulation information
systems have been explored. However, there is very limited investigation on the attribute …

In this paper, we propose some new approaches for attribute reduction in covering decision
systems from the viewpoint of information theory. Firstly, we introduce information entropy …

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

Multigranulation rough sets are desirable features in the field of rough set, where this
concept is approximated by multiple granular structures. In this study, we employ belief and …

Rough set theory is a useful tool for dealing with inexact, uncertain or vague knowledge in
information systems. The classical rough set theory is based on equivalence relations and …

Axiomatic approaches are important for understanding the concepts of rough set theory. The
properties of the approximation operators constructed in rough set theory are determined by …