Fuzzy probabilistic rough set is an important mathematical model in rough set theory and
has been widely used in applications. Although many studies have been taken on this topic …

The positioning accuracy of industrial robots has an important influence on the stability and
accuracy of robotic motion, which is one of the important indexes to measure the …

The main goal of this paper is to integrate the relationships among rough set theory and
topology. We introduce different closure operators by using binary relations. Using these …

In this paper, we propose the concepts of hesitant bipolar-valued fuzzy sets (HBVFSs) and
bipolar-valued hesitant fuzzy sets (BVHFSs). The HBVFSs encompass bipolar-valued fuzzy …

This paper shows that a bipolar-valued fuzzy set and a special interval-valued fuzzy set,
whose cut-off point of left and right ends of the interval-valued membership is λ (0< λ< 1), are …

Since the classical Pawlak rough sets model only divides the domain by a single
equivalence relation when dealing with uncertain information and ignores the influence of …

Granular computing is an umbrella term to cover a series of theories, methodologies,
techniques, and tools that make use of information granules in complex problem solving …

This article introduces a general framework of multi-granulation fuzzy probabilistic roughsets
(MG-FPRSs) models in multi-granulation fuzzy probabilistic approximation space over …

Multi-granulation rough sets (MGRSs) and decision-theoretic rough sets (DTRSs) are two
important and popular generalizations of classical rough sets. The combination of two …

At present, the representative and hot research is three-way decision based on rough set
theory. In addition, this topic has been applied in wide variety of specific. In the article, we …