English

On three types of $L$-fuzzy $\beta$-covering-based rough sets

Artificial Intelligence 2022-06-23 v1

Abstract

In this paper, we mainly construct three types of LL-fuzzy β\beta-covering-based rough set models and study the axiom sets, matrix representations and interdependency of these three pairs of LL-fuzzy β\beta-covering-based rough approximation operators. Firstly, we propose three pairs of LL-fuzzy β\beta-covering-based rough approximation operators by introducing the concepts such as β\beta-degree of intersection and β\beta-subsethood degree, which are generalizations of degree of intersection and subsethood degree, respectively. And then, the axiom set for each of these LL-fuzzy β\beta-covering-based rough approximation operator is investigated. Thirdly, we give the matrix representations of three types of LL-fuzzy β\beta-covering-based rough approximation operators, which make it valid to calculate the LL-fuzzy β\beta-covering-based lower and upper rough approximation operators through operations on matrices. Finally, the interdependency of the three pairs of rough approximation operators based on LL-fuzzy β\beta-covering is studied by using the notion of reducible elements and independent elements. In other words, we present the necessary and sufficient conditions under which two LL-fuzzy β\beta-coverings can generate the same lower and upper rough approximation operations.

Keywords

Cite

@article{arxiv.2206.11025,
  title  = {On three types of $L$-fuzzy $\beta$-covering-based rough sets},
  author = {Wei Li and Bin Yang and Junsheng Qiao},
  journal= {arXiv preprint arXiv:2206.11025},
  year   = {2022}
}