The second volume of “Advancing Uncertain Combinatorics through Graphization,
Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” …

Graph theory, a branch of mathematics, explores relationships among entities using vertices
and edges. To address the uncertainties inherent in real-world networks, Uncertain Graph …

In this paper, we contribute to a recent and successful modelization of uncertainty, which the
practitioner often encounters in the formulation of multicriteria group decision making …

Fuzzy set theory, rough set theory and soft set theory are all generic mathematical tools for
dealing with uncertainties. There has been some progress concerning practical applications …

In this paper, a kind of novel soft set model called a Z-soft fuzzy rough set is presented by
means of three uncertain models: soft sets, rough sets and fuzzy sets, which is an important …

In this paper, we investigate the relationships among rough sets, soft sets and hemirings.
The concept of soft rough hemirings is introduced, which is an extended notion of a rough …

We study, in this paper, some notions related to Pythagorean fuzzy soft sets (PFSSs) along
with their algebraic structures. We present operations on PFSSs and their peculiar …

The philosophy of soft sets is founded on the fundamental idea of parameterization, while
Pawlak's rough sets put more emphasis on the importance of granulation. As a multivalued …

As is well known, soft set theory can have a bearing on making decisions in many fields.
Particularly important is parameter reduction of soft sets, an essential topic both for …

Dempster-Shafer theory (DST) has attracted widespread attention in many domains owing to
its powerful advantages in managing uncertain and imprecise information. Nevertheless …