This paper contributes to cubic aggregation operator and applications in decision-making
problem. In this paper, we use Dombi operational laws and Heronian mean operators, to …

Dombi aggregation operators (DAOs) are massive flexible and much consistent to manage
convoluted and awkward information genuine life troubles. The goal of this manuscript is to …

The q-rung orthopair fuzzy sets (q-ROFSs) are a prominent idea to express the fuzzy
information in the decision-making process and are the generalization of the existing …

The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation
operator used in modern information fusion theory, which is suitable to aggregate numerical …

The recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to
describe uncertainty and vagueness, and Hamy mean (HM) has a significant advantage of …

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 …

The concept of complex interval-valued q-rung orthopair fuzzy set (CIVq-ROFS) as a
generalization of a complex fuzzy set and interval-valued q-rung orthopair fuzzy set (IVq …

Q-rung orthopair fuzzy set (q-ROFS) is a powerful tool to describe uncertain information in
the process of subjective decision-making, but not express vast objective phenomenons that …

To study the problem of multiple attribute decision making in which the decision making
information values are triangular fuzzy number, a new group decision making method is …

In this paper, we extend the Hamy mean (HM) operator and dual Hamy mean (DHM)
operator with Pythagorean fuzzy numbers (PFNs) to propose Pythagorean fuzzy Hamy …