To express uncertain and imprecise information systematically, the concept of probabilistic
linguistic q-rung ortho-pair fuzzy set (PLqROFS), which is an advanced version of linguistic …

Reducing carbon dioxide emissions has become a prominent issue in city construction.
Here, with the objective of spatial pattern optimization, we propose a comprehensive …

Single-valued neutrosophic sets (SVNSs) and their application to material selection in
engineering design. Liquid hydrogen is a feasible ingredient for energy storage in a …

The-quasirung orthopair fuzzy (-QOF) set, an extension of the-rung orthopair fuzzy set (-
ROF) set, offers a more comprehensive approach to information representation, adept at …

A linear Diophantine fuzzy set (LDFS) is a new mathematical tool that can be used for
optimization, artificial intelligence, and process modeling. The LDFS theory widens the area …

Compared to previous extensions, the q-rung orthopair fuzzy sets are superior to
intuitionistic ones and Pythagorean ones because they allow decision-makers to use a more …

The q-rung orthopair fuzzy soft set is an advanced leeway of orthopair fuzzy sets, such as
intuitionistic fuzzy soft set (IFSS) and Pythagorean fuzzy soft set (PFSS). The very lax …

Global warming and air pollution are two of the most severe problems faced by humanity in
recent years. Greenhouse gas (GHG) emissions caused by vehicles make up for a sizeable …

In multi-attribute decision-making (MADM) field, fuzzy sets provide differing representation
manners in modeling the expert's preferences. Fermatean fuzzy set (FFS) is a special …

A two‐stream remote sensing image fusion network (RCAMTFNet) based on the residual
channel attention mechanism is proposed by introducing the residual channel attention …