The rough set theory has been gaining popularity among researchers and scholars since its
inception in 1982. We present this research in commemorating the father of rough sets …

Recently, an interesting and natural research topic is to study rough set theory via matroid
theory. We can introduce matroidal approaches to rough set theory and rough set methods …

By means of Dubois and Prade's idea, we apply rough fuzzy sets and fuzzy rough sets to
algebraic structures. The concepts of rough fuzzy strong h-ideals (rough fuzzy prime ideals) …

If I is a normal hyperideal of a hyperring R, then an equivalence relation on R can be defined
as follows:≡ I by x≡ I y if and only if xy∩ I≠∅. Hence a normal hyperideal of a hyperring is …

Rough set theory is an advanced uncertainty tool that is capable of processing sophisticated
real-world data satisfactorily. Rough approximation operators are used to determine the …

In this paper, we investigate the relationship among soft sets, rough sets, fuzzy sets and
lattices. The notion of soft rough fuzzy lattices (ideals, filters) over lattices is introduced …

In this paper, we investigate the relationship among soft sets, rough sets, fuzzy sets and
rings. The notion of soft fuzzy rough rings (ideals) of rings is introduced, which is an …

The notions of fuzzy 1-type (2-type) positive implicative filter and fuzzy normal filter of
pseudo-BCK algebras are introduced, some properties and equivalent conditions are given …

高等教育资源承载力是高等教育可持续发展的重要体现, 其重要性日益呈现.
本文在相关文献的基础上, 建立了高等教育资源承载力的评价体系, 并利用粗糙集理论, 对17 …

Rough sets provide a useful tool for data preprocessing during data mining. However, many
algorithms related to some problems in rough sets, such as attribute reduction, are greedy …