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 …

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 …

The dual probabilistic linguistic (DPL) term sets are considered superior to probabilistic
linguistic term sets. Further, the generalized Dombi (GD) operators are pretty flexible with the …

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 …

Multi-attribute group decision-making (MAGDM) has received increasing attentions in both
engineering and economy fields. Correspondingly, many valuable methods have been …

Many researchers have proposed lots of 2-tuple linguistic models and applied them to
multiattribute group decision making (MAGDM) problems. Based on the definition of an …

This paper focuses on qualitative multi-attribute group decision making (MAGDM) with
linguistic information in terms of single linguistic terms and/or flexible linguistic expressions …

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 …

The 2-dimension linguistic information includes two common linguistic labels. One
dimension is used for describing the evaluation result of alternatives provided by the …

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 …