In this paper, a novel multiple-attribute decision-making method based on a set of
Archimedean power Maclaurin symmetric mean operators of picture fuzzy numbers is …

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

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 …

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 power Bonferroni mean (PBM) operator can relieve the influence of unreasonable
aggregation values and also capture the interrelationship among the input arguments, which …

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 …

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

Complex picture fuzzy set is a special picture fuzzy set where the truth, abstinence, and
falsity grades are shown by a complex number and can effortlessly illustrate the problem …

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 …

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 …