PDHL-EDAS METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING AND ITS APPLICATION TO 3D PRINTER SELECTION
提出了一种概率双层次语言EDAS方法，用于多属性群决策，并结合CRITIC和累积前景理论确定权重，应用于3D打印机选择，经对比验证了方法的科学有效性。
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.