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 financial risk evaluation is critically vital for enterprises to identify the potential financial
risks, provide decision basis for financial risk management, and prevent and reduce risk …

This paper proposes an integrated decision-making framework for the systematic selection
of a renewable energy source (RES) from a set of RESs based on sustainability attributes. A …

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 …

In decision-making problems, q-rung orthopair fuzzy sets are considered as a more effective
tool than intuitionistic fuzzy sets and Pythagorean fuzzy sets. This article develops some …

As a powerful generalization to intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-
ROFS) is proposed by Yager, which can effectively mitigate the weakness of IFS and provide …

In this study, we aim to develop a method for solving multi-attribute group decision-making
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …

A generalized orthopair fuzzy set can express uncertain information easier than most other
processes, which gives us more space for decision-making. In recent times, the selection of …

Data mining is a thoroughly advanced method that evaluates and makes more sense of a
variety in electronic commerce (e-commerce)-related knowledge, discovering useful ideas …

As an attractive generalization of the intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set
(q-ROFS) provides the decision makers (DMs) with a wide window for preference elicitation …