Kianaz Rezaei - M. Sc. Student, Department of Computing, Kharazmi University, Tehran, Iran
Rahil Hosseini - Faculty of Engineering, Islamic Azad University, Shahr Qods Branch, Tehran, Iran,
Mahdi Mazinani - Faculty of Engineering, Islamic Azad University, Shahr Qods Branch, Tehran, Iran,

Fuzzy logic has played an important role in the field of medicine. Medical diagnosis and prognosis problems are examples of decision making in the face of uncertainty. Fuzzy set theory plays a key in formalizing uncertainties for medical diagnosis and prognosis. The aim of this study is to utilize fuzzy set to manage uncertainty and imprecision in measurements related to the size, shape of the abnormality. For this, for the first time, we designed a fuzzy inference system (FIS) which emulates the process of human experts in detection and analysis of the peptic ulcer. Peptic ulcer disease is the most common ulcer of an area of the gastro- intestinal tract. we applied fuzzy inference system (FIS) for assessment of the severity of the peptic ulcer. The intelligent FIS system can help for detection of the peptic ulcer in the decision making process and consequently, improves the treatment process. Performance results on a dataset including real patients reveal the FIS with maximum accuracy of 95%, which reveals superiority of the approach.

Soft computing, Fuzzy inference system (FIS), Peptic ulcer