The article investigates the multiple attribute group decision making (MAGDM) problems in which the attribute values take the form of triangular fuzzy information. Motivated by the ideal of power aggregation, in this paper some power aggregation operators for aggregating triangular fuzzy information are developed and then applied in order to develop some models for multiple attribute group decision making with triangular fuzzy information. Finally, some illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness
Weight aggregation is the key process to solve a multiple-attribute group decision-making (MAGDM) pr...
Weight aggregation is the key process to solve a multiple-attribute group decision-making (MAGDM) pr...
Two important tasks in multiattribute group decision-making (MAGDM) are to describe the attribute va...
The article investigates the multiple attribute group decision making (MAGDM) problems in which the ...
In this paper, we develop a new method for multiple attribute group decision making for triangular c...
Inspired by the nonlinear weighted average operator, this paper proposes several generalized power a...
This paper investigates an approach to multiple attribute group decision-making (MAGDM) problems, in...
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribut...
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribut...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
AbstractWe investigate the multiple attribute decision making problems with triangular fuzzy informa...
With respect to multiple attribute group decision making (MAGDM) problems, in which the attribute we...
In this paper, triangular cubic hesitant fuzzy Einstein weighted averaging (TCHFEWA) operator, trian...
Based on the extended triangular norm, several new operational laws for linguistic variables and unc...
In this paper, triangular cubic hesitant fuzzy Einstein weighted averaging (TCHFEWA) operator, trian...
Weight aggregation is the key process to solve a multiple-attribute group decision-making (MAGDM) pr...
Weight aggregation is the key process to solve a multiple-attribute group decision-making (MAGDM) pr...
Two important tasks in multiattribute group decision-making (MAGDM) are to describe the attribute va...
The article investigates the multiple attribute group decision making (MAGDM) problems in which the ...
In this paper, we develop a new method for multiple attribute group decision making for triangular c...
Inspired by the nonlinear weighted average operator, this paper proposes several generalized power a...
This paper investigates an approach to multiple attribute group decision-making (MAGDM) problems, in...
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribut...
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribut...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
AbstractWe investigate the multiple attribute decision making problems with triangular fuzzy informa...
With respect to multiple attribute group decision making (MAGDM) problems, in which the attribute we...
In this paper, triangular cubic hesitant fuzzy Einstein weighted averaging (TCHFEWA) operator, trian...
Based on the extended triangular norm, several new operational laws for linguistic variables and unc...
In this paper, triangular cubic hesitant fuzzy Einstein weighted averaging (TCHFEWA) operator, trian...
Weight aggregation is the key process to solve a multiple-attribute group decision-making (MAGDM) pr...
Weight aggregation is the key process to solve a multiple-attribute group decision-making (MAGDM) pr...
Two important tasks in multiattribute group decision-making (MAGDM) are to describe the attribute va...