Digital Mammogram Inferencing System Using Intuitionistic Fuzzy Theory

In the medical field, detection of breast cancer may be a mysterious task. Physicians must deduce conclusion from significantly vague knowledge base. A mammogram can offer early diagnosis at low cost if breasts' satisfactory images are analyzed. multi-decision Intuitionistic Fuzzy Evidential Reasoning (IFER) approach is introduced in this paper to deal with imprecise classification efficiently. The proposed IFER combines intuitionistic trapezoidal fuzzy numbers and inclusion measures improve representation reasoning accuracy. results technique approved through simulation. simulation created utilizing MATLAB software. screening classified finally grouped into three categories: normal, malignant, benign. Simulation show that method performs accuracy almost 95% compared already existing algorithms. mammography provides high providing diagnosis, it convenient diagnostic tool for physicians.