In this paper, we develop some new operational laws and their corresponding aggregation
operators for picture fuzzy sets (PFSs). PFS is a powerful tool to deal with vagueness, which …

In this paper, we investigate the multiple attribute decision making problems with picture
fuzzy information. Then, we utilize arithmetic and geometric operations to develop some …

In this paper, we investigate the multiple attribute decision making (MADM) problem based
on the arithmetic, geometric aggregation operators and Hamacher operations with picture …

The proposed study introduces innovative Maclaurin symmetrical mean aggregation
operators (MSMAO) in picture fuzzy multiple-attribute group decision-making. These …

Picture fuzzy sets (PFSs) can be used to handle real-life problems with uncertainty and
vagueness more effectively than intuitionistic fuzzy sets (IFSs). In the process of information …

The objective of this study was to create a logarithmic decision-making approach to deal
with uncertainty in the form of a picture fuzzy set. Firstly, we define the logarithmic picture …

The operations of t-norm and t-conorm, developed by Dombi, were generally known as
Dombi operations which may have a better expression of application if they are presented in …

In this paper, we extend the Bonferroni mean (BM) operator with the picture fuzzy numbers
(PFNs) to propose novel picture fuzzy aggregation operators and demonstrate their …

As an extension of the intuitionistic fuzzy set (IFS), the recently proposed picture fuzzy set
(PFS) is more suitable to describe decision-makers' evaluation information in decision …

The Heronian mean and generalized Heronian mean provide two aggregation operators
that consider the inter-dependent phenomena among the aggregated arguments. In this …