Visual Imagery Study of Micro SLR Camera Modeling Based on Triangular Fuzzy Theory

Micro SLR cameras have played a huge role in the 5G era and the era of self-publishing short videos with online videos and photos as the communication carriers. Nowadays, business is an era centered on consumer needs, and the shape of micro SLR cameras has a huge impact on the value of micro SLR cameras. This study aims to explore the visual imagery evaluation of a wide range of miniature SLR cameras. The study investigates the top 12 micro SLR cameras in China, and uses the semantic difference method (SD method) to screen the visual imagery adjective clusters of micro SLR cameras, and then uses factor analysis and triangular fuzzy theory to derive the visual imagery evaluation values of these 12 micro SLR cameras. The results of the study show the differences in the evaluation of different shaped miniature SLR cameras are larger in the smart and novel visual imagery, and smaller in the detailed visual imagery. The results of the study are beneficial for designers to design miniature SLR cameras with different experience sense.