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 …

The term “q-Rung orthopair fuzzy sets (qr OFSs)” refers to the collection of the most
differentiated ideas for expressing fuzzy data in decision-making rules. The qr OFSs can …

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 …

Probabilistic dual hesitation fuzzy set (PDHFS) is a new tool used to enhance fuzzy and
imprecise information in a changing and complex decision-making environment. Compared …

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 …

Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain
multi-criteria decision-making (MCDM) problems, various MCDM methods under q-ROF …

The q-rung orthopair fuzzy preference relations are useful tools to represent hesitant and
uncertain judgments of decision makers. In this paper, we propose a new group decision …

The preference ranking organization method for enrichment of evaluations (PROMETHEE){
constitutes a family of outranking} multiple-attribute decision-making (MADM) methods {that …

In this paper, Bonferroni mean (BM) and Dombi t‐conorms and t‐norms (D t‐CN& t‐Ns) are
combined under dual hesitant q‐rung orthopair fuzzy (DH q‐ROF) environment to produce …

Because of the uncertainty and subjectivity of decision makers in the complex decision-
making environment, the evaluation information of alternatives given by decision makers is …