An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem

2019 ◽  
Vol 36 (2) ◽  
pp. 1855-1866 ◽  
Author(s):  
N. Foroozesh ◽  
R. Tavakkoli-Moghaddam ◽  
S. Meysam Mousavi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Selection Problem ◽  
Sustainable Supplier Selection ◽  
Supplier Selection Problem ◽  
Interval Valued

A Supplier Selection Using a Group Decision Making Under Multiple Criteria by Considering Individual Criteria Set

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Multiple Criteria ◽  
Function Approach ◽  
Selection Problem ◽  
Multiple Attribute ◽  
Supplier Selection Problem

Some authors implicitly claim that in the TOPSIS and Bordas function approach, each expert may or may not be using the same criteria. Meanwhile, in our reviews of the literature, not any reference was found that deals with supplier selection problem in the conditions each expert have own criteria set. So, the application of a Multiple Attribute Group Decision Making (MAGDM) model, particularly TOPSIS and Boards function approach for solving an supplier selection problem, while, each expert have own criteria set is the aim of this paper. Finally, a simple example is provided in order to demonstrate its feasibility and practicability of the proposed method.

scholarly journals An Approach of Interval-Valued Picture Fuzzy Uncertain Linguistic Aggregation Operator and Their Application on Supplier Selection Decision-Making in Logistics Service Value Concretion

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Muhammad Naeem ◽  
Muhammad Qiyas ◽  
Saleem Abdullah
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Multiple Criteria ◽  
Service Value ◽  
Logistics Service ◽  
Criteria Weights ◽  
Selection Decision ◽  
Interval Valued

With respect to multiple criteria group decision-making (MCGDM) problems in which both the criteria weights and the expert weights take the form of crisp numbers and attribute values take the form of interval-valued picture fuzzy uncertain linguistic numbers, some new group decision-making analysis methods are developed. Firstly, some operational laws, expected value, and accuracy function of interval-valued picture fuzzy uncertain linguistic numbers are introduced. Then, an interval-valued picture fuzzy uncertain linguistic averaging and geometric aggregation operators are developed. Furthermore, some desirable properties of the developed operators, such as commutativity, idempotency, and monotonicity, have been studied. Based on these operators, an approach to multiple criteria group decision-making with interval-valued picture fuzzy uncertain linguistic information has been proposed. Finally, a practical example of 3PL supplier selection in logistics service value concretion is taken to test the defined method and to expose the effectiveness of the defined model.

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