The evaluation of medical imaging devices is a critical issue for both biomedical engineers and health-care investors. This study proposes a new technique to assess common medical imaging devices using type-2 fuzzy multi-criteria decision making approach. The evaluation criteria were characterized by the interviews with the experts. A Gaussian type-2 Fuzzy membership function was assigned for each interval of the evaluation. TOPSIS algorithm was applied to our system using type-2 Fuzzy numbers. The results were classified with the Wu and Mendel's ranking method. The ranking of device alternatives highlighted the accurate order of future imaging technologies with the fuzzy behavior of medical investments in conjunction with the requirements of the clinicians and the engineers.