Purpose–The purpose of this paper is to develop some 2-tuple linguistic aggregation
operators based on Muirhead mean (MM), which is combined with multiple attribute group …

In this paper, we investigate the multiple attribute decision making (MADM) problems with 2-
tuple linguistic information. Motivated by the ideal of Bonferroni mean and geometric …

With respect to multi-attribute group decision-making problems, in which attribute values
take the form of 2-tuple linguistic information, a new decision making method that considers …

The generalized Maclaurin symmetric mean (GMSM) operator not only can consider the
interrelationship among the multi-input arguments, but also can be flexibly converted to …

Multiple‐attribute group decision making (MAGDM) under linguistic environment is an
important part of modern decision sciences, and information aggregation operator plays an …

Pythagorean fuzzy sets, as an extension of intuitionistic fuzzy sets to deal with uncertainty,
have attracted much attention since their introduction, in both theory and application …

In this paper, we investigate the multiple attribute decision-making problems with picture 2-
tuple linguistic information. Then, we utilize Bonferroni mean and geometric Bonferroni …

In this study, a multi-attribute group decision making (MAGDM) problem is investigated, in
which decision makers provide their preferences over alternatives by using linguistic 2-tuple …

Classical Bonferroni mean, defined by Bonferroni in 1950, assumes homogeneous relation
among the attributes, ie, each attribute A is related to the rest of the attributes A {A i, where …

The Hamy mean (HM) operator, as a useful aggregation tool, can capture the correlation
between multiple integration parameters, and the 2-tuple linguistic Pythagorean fuzzy …