The purpose of this paper is to introduce the concepts of Dombi t-norm and Dombi t-conorm
to aggregate intuitionistic fuzzy information. First, we have proposed some new operational …

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 …

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 …

Pythagorean fuzzy sets accommodate more uncertainties than the intuitionistic fuzzy sets
and hence it is one of the most important concepts to describe the fuzzy information in the …

The interval‐valued q‐rung orthopair fuzzy set (IVq‐ROFS) and complex fuzzy set (CFS) are
two generalizations of the fuzzy set (FS) to cope with uncertain information in real decision …

The advent of Yager's generalized orthopair fuzzy sets (also called q-rung orthopair fuzzy
sets) has brought more possibilities to accomplish the challenging task of modelling …

This paper aims to greatly improve decision makers' capability of capturing their judgment in
a broader space. In order to achieve this, we introduce the notion of ap, q-quasirung …

With the continuous development of the economy and society, decision‐making problems
and decision‐making scenarios have become more complex. The q‐rung orthopair fuzzy set …

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 …

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 …