In this paper, we present novel approaches to multi-attribute decision-making problems
using q-rung normal fuzzy numbers. The q-rung normal fuzzy sets are an important way to …

The q-rung orthopair fuzzy numbers (q-ROFNs) are used to deal with vague and uncertain
information and they are superior to the intuitionistic fuzzy numbers (IFNs) and the …

The complex q-rung orthopair fuzzy sets are an important way to express uncertain and
ambiguous information, and they are superior to the complex fuzzy sets, complex …

Q-rung orthopair fuzzy sets have been widely utilized in recent years to encounter
uncertainties. At the same time, the idea of normal fuzzy numbers seems closer to human …

Aggregation operators perform a significant role in many decision-making problems. The
purpose of this paper is to analyze the aggregation operators under the q-rung orthopair …

The recently proposed q-rung orthopair fuzzy set, which is characterized by a membership
degree and a non-membership degree, is effective for handling uncertainty and vagueness …

This paper proposes a new approach for multiattribute decision making (MADM) using the
proposed q-rung orthopair fuzzy Yager prioritized weighted arithmetic (q-ROFYPWA) …

Multi-attribute decision-making approach is a widely used algorithm that needs some
aggregation tools and several such aggregation operators have been developed in past …

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 q-rung orthopair fuzzy sets (q-ROFs) which are eminent extensions of the intuitionistic
fuzzy sets and the pythagorean fuzzy sets can be considered as an efficient tool for …