A lot of fuzzy models have been planned and researched to review the information under
uncertainty and ambiguity. Among these, the model of the interval-valued picture fuzzy set …

Abstract Information quality has attracted increasing attention in recent years. In this paper,
we propose a measure to quantify the information quality of intuitionistic fuzzy information …

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 …

To evaluate objects under uncertainty, many fuzzy frameworks have been designed and
investigated so far. Among them, the frame of picture fuzzy set (PFS) is of considerable …

This research article is devoted to establish some general aggregation operators, based on
Yager'st‐norm and t‐conorm, to cumulate the Fermatean fuzzy data in decision‐making …

Abstract q-rung orthopair fuzzy sets (q-ROFSs) are prominent ideas to express fuzzy data in
decision-making. The q-ROFSs can dynamically adapt the area of evidence by altering the …

The evaluation of smart cities involves multiple stakeholder groups and has multiple
objectives. Therefore, a multi-criteria approach is required to facilitate inclusive decisions. In …

The q‐rung orthopair fuzzy set (q‐ROFS), originally developed by Yager, is more capable
than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper …

The operations of t‐norm (TN) and t‐conorm (TCN), developed by Dombi, are generally
known as Dombi operations, which have an advantage of flexibility within the working …

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 …