scholarly journals Hybrid multi-criteria group decision-making for supplier selection problem with interval-valued Intuitionistic fuzzy data

2020 ◽  
Vol 17 (3) ◽  
pp. 3-16
Author(s):  
Marjan Kuchaki Rafsanjani ◽  
◽  
Arsham Borumand Saeid ◽  
Farzane Mirzapour ◽  
◽  
...  
2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Mohammad Izadikhah

Supplier selection is a fundamental issue of supply chain area that heavily contributes to the overall supply chain performance, and, also, it is a hard problem since supplier selection is typically a multicriteria group decision problem. In many practical situations, there usually exists incomplete and uncertain, and the decision makers cannot easily express their judgments on the candidates with exact and crisp values. Therefore, in this paper an extended technique for order preference by similarity to ideal solution (TOPSIS) method for group decision making with Atanassov's interval-valued intuitionistic fuzzy numbers is proposed to solve the supplier selection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each decision maker and in many of them the weights of criteria are predetermined, but these weights have been calculated in this paper by using the decision matrix of each decision maker. Also, the normalized Hamming distance is proposed to calculate the distance between Atanassov's interval-valued intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to clarify the main results developed in this paper.


Author(s):  
Mohammad Azadfallah

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.


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