An approach to evaluating the performances of the photoelectric devices with hesitant fuzzy linguistic information

Carbon-based organic conjugated materials, such as conjugated polymers, graphene, fullerenes are wildly used in the fabrication of organic light-emitting diodes, organic solar cells, organic field-effect transistors and lithium sulfur batteries, because of their advantages in terms of the tunable band gap, low-cost, simple fabrication, light-weight and flexibility. Electronic and chemical structures at metal/organic and organic/organic interfaces are the key factors that strongly influence the performance of these photoelectric devices. Therefore, it's urgently needed to deeply understand the relationship between the interfacial structure and the performance of the devices involved. This will guide us to design rational interfaces to fabricate devices with higher efficiency and performances. In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the performances of the photoelectric devices with hesitant fuzzy linguistic Information. Then, a model based on the hesitant fuzzy linguistic weighted geometric (HFLWG) operator to evaluate the performances of the photoelectric devices is presented. Finally, an illustrative example for evaluating the performances of the photoelectric devices is given to verify the developed approach and to demonstrate its practicality and effectiveness.