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 …

In this article, we study multiple attribute decision-making (MADM) problems with picture
fuzzy numbers (PFNs) information. Afterwards, we adopt a Muirhead mean (MM) operator, a …

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 …

Picture fuzzy set is the generalization of fuzzy set and intuitionistic fuzzy set. It is useful for
handling uncertainty by considering the positive membership, neutral membership and …

Two critical steps in multiple criteria decision making are to quantify the considered criteria
and to evaluate the quantified criteria to determine desirable alternatives. An important tool …

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 recently proposed picture fuzzy set (PFS) is a powerful tool for handling fuzziness and
uncertainty. PFS is characterized by a positive membership degree, a neutral membership …

Picture fuzzy sets (PFSs) generally involve the positive membership, neutral membership
and negative membership, and have an advantage of accurately describing decision …

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

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 …