The concept of q-rung orthopair fuzzy sets (q-ROFSs) severs as an extended form of
orthopair fuzzy sets, which excels in flexibly depicting imprecise information existed in …

The proposed study introduces innovative Maclaurin symmetrical mean aggregation
operators (MSMAO) in picture fuzzy multiple-attribute group decision-making. These …

The generalized Maclaurin symmetric mean (GMSM) operator not only can consider the
interrelationship among the multi-input arguments, but also can be flexibly converted to …

The linguistic Pythagorean fuzzy sets (LPFSs), which employ linguistic terms to express
membership and non-membership degrees, can effectively deal with decision makers' …

Pythagorean fuzzy set (PyFS) is an extension of various fuzzy concepts, such as fuzzy set
(FS), intuitionistic FS, and it is enhanced mathematical gizmo to pact with uncertain and …

In multi-attribute group decision-making (MAGDM) problems, there exist some multi-polarity
for the attributes and criteria. Sometimes in real life situations, we deal with the both …

In this study, in view of expressing the uncertain information more elegantly, we shall
enlighten the q-rung orthopair fuzzy sets (q-ROFSs) and the q-rung orthopair fuzzy numbers …

The theory of q-rung orthopair fuzzy sets (q-ROFSs) proposed by Yager effectively describes
fuzzy information in the real world. Because q-ROFSs contain the parameter q and can …

This article aims to develop the Aczel–Alsina operational laws based on power aggregation
operators (PAOs) for the q-Rung orthopair fuzzy set (FS)(q-ROFS) framework. Changing the …

Weighted power means with weights and exponents serving as their parameters are
generalizations of arithmetic means. Taking into account decision makers' flexibility in …