Soft set theory, initially introduced through the seminal article “Soft set theory—First results”
in 1999, has gained considerable attention in the field of mathematical modeling and …

Decision-making methods play an important role in the real-life of human beings and consist
of choosing the best options from a set of possible choices. This paper proposes the notion …

In this paper, we motivate and introduce the concept of N-soft set as an extended soft set
model. Some useful algebraic definitions and properties are given. We cite real examples …

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 …

In this article, we introduce a new hybrid model called hesitant N-soft sets by a suitable
combination of hesitancy with N-soft sets, a model that extends N-soft sets. Our novel …

The goal of this paper is to introduce a novel hybrid model called multi-fuzzy N-soft set, and
to design an adjustable decision-making methodology for solving problems where the inputs …

Intuitionistic fuzzy sets (IFSs) can effectively represent and simulate the uncertainty and
diversity of judgment information offered by decision-makers (DMs). In comparison to fuzzy …

Hesitant fuzzy set theory is a renowned approach to the formal modeling of uncertain data.
An evidence of its success is that it has been extensively used in multi-attribute decision …

In this paper, we introduce three novel hybrid models, namely, intuitionistic fuzzy N-soft sets
(IFNSSs), N-soft rough intuitionistic fuzzy sets and intuitionistic fuzzy N-soft rough sets …

Graph theory, a branch of mathematics, studies the relationships between entities using
vertices and edges. Uncertain Graph Theory has emerged within this field to model the …