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 …

Fuzzy soft graphs are effective mathematical tools that are used to model the vagueness of
the real world. A fuzzy soft graph is a fusion of the fuzzy soft set and the graph model and is …

The integration of rough sets with other algebraic structures is a key approach to study
different types of uncertainties simultaneously with a single mathematical approach. The …

There is an importance of multi-criteria group decision-making (MCGDM) problems based
on soft set theory in decision analysis. This article focuses on MCGDM problems based on …

In this paper, a new multiple attribute decision-making (MADM) method under q-rung dual
hesitant fuzzy environment from the perspective of aggregation operators is proposed. First …

Pythagorean Neutrosophic set is a fresh idea that combines Pythagorean fuzzy set and
Neutrosophic set having dependent components Membership (α)(α) and non-membership …

The soft set theory offers a wide range of applications in a variety of domains. The soft set is
more general and has more capabilities in controlling unpredictable data than other current …

Abstract General type-2 (GT2) fuzzy logic systems (FLSs) become a popular research topic
for the past few years. Usually the Karnik–Mendel algorithms are the most prevalent …

Considering that cooling in cooling systems is more costly than heating, the importance of
refrigerant selection in cooling systems is even more obvious. Due to the complexity of the …

Fuzzy soft graphs are efficient numerical tools for simulating the uncertainty of the real world.
A fuzzy soft graph is a perfect fusion of the fuzzy soft set and the graph model that is widely …