A Type-2 Fuzzy Expert System for Diagnosis of Leukemia

Medical field, especially in the diagnosis and treatment, is facing with inherent uncertainty. Causes of leukemia can be different factors that determining of them is with uncertainty. Owing to the high potential of the fuzzy expert systems for managing uncertainty associated to the medical diagnosis, in this paper, we propose a type-2 fuzzy expert system for Leukemia diagnosis. In this system, we use Mamdani-style inference that has high interpretability to clarify the results of system to experts. The classification accuracy of the type-2 fuzzy system for Leukemia diagnosis has obtained about 94% which demonstrate its capability for helping experts to early diagnosis of the disease.