PDHL-EDAS method for multiple attribute group decision making and its application to 3D printer selection

    Fan Lei Affiliation
    ; Guiwu Wei Affiliation
    ; Weijie Shen Affiliation
    ; Yanfeng Guo Affiliation


With the rapid development of 3D printing technology, 3D printers are manufactured based on the principle of 3D printing technology are more and more widely used in the manufacturing industry. Choosing high quality 3D printers for industrial production is of great significance to the economic growth of enterprises. In fact, it is difficult to select the most optimal 3D printers under a single and simple standard. Therefore, this paper establishes the probabilistic double hierarchy linguistic EDAS (PDHL-EDAS) method for the multiple attribute group decision making (MAGDM). Then the CRITIC model is introduced to derive objective weight and the cumulative prospect theory is leaded into obtain the cumulative weight of PDHLTS. In addition, what’s more, the PDHL-EDAS method is built and applied to the choice of high-quality 3D printer. Finally, compared with the available MAGDM methods under PDHLTS, the built method is proved to be scientific and effective.

First published online 15 December 2021

Keyword : multiple attribute group decision making (MAGDM), probabilistic double hierarchy linguistic term set (PDHLTS), EDAS method, CRITIC method, 3D printer selection

How to Cite
Lei, F., Wei, G., Shen, W., & Guo, Y. (2022). PDHL-EDAS method for multiple attribute group decision making and its application to 3D printer selection. Technological and Economic Development of Economy, 28(1), 179–200.
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Jan 12, 2022
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