The q-rung orthopair fuzzy set (q-ROFS), initiated by Yager, is a novel tool to dispose of
indeterminacy that considers the membership μ μ and non-membership ν ν, which satisfy the …

In this paper, we propose the q-rung orthopair fuzzy weighted averaging (q-ROFWA)
aggregation operator (AO) of q-rung orthopair fuzzy numbers (q-ROFNs). The proposed q …

The q‐rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …

Due to the uncertainty and vagueness, ambiguity and subjectivity of the information in an
intricate decision-making environment, the assessment data specified by experts are mostly …

Entropy measure (EM) and similarity measure (SM) are important techniques in the
environment of fuzzy set (FS) theory to resolve the similarity between two objects. The q …

Assessing the cache placement policy (CPP) is a crucial step in the deployment process of
content-centric networking (CCN), which is still an open question. In this paper, assessing …

The spherical fuzzy set (SFS), as a generalization of Picture fuzzy set, can express and
process uncertainty much better. In this article, we first reveal the comparison issues in …

Mobile medical app evaluation can be modelled as a multi-attribute decision-making
(MADM) problem with multiple assessment attributes. Due to the increasing complexity and …

The paper aims to present an integrated approach to solve the decision-making problem
under the probabilistic hesitant fuzzy information (PHFI) features, which is an extension of …

A q-rung orthopair fuzzy (q-ROF) set (q-ROFS) is one of the advanced fuzzy sets capable of
processing complex real-world information satisfactorily. q-ROF distance measures are used …