Kianaz Rezaei¹, Rahil Hosseini^1,2, and Mahdi Mazinani^1,2, ¹Kharazmi University, Iran and ²Islamic Azad University, Iran

Peptic ulcer disease is the most common ulcer of an area of the gastro- intestinal tract. The aim of this study is to utilize soft computing techniques to manage uncertainty and imprecision in measurements related to the size, shape of the abnormality. For this, we designed a fuzzy inference system (FIS) which emulates the process of human experts in detection and analysis of the peptic ulcer. The proposed approach models the vagueness and uncertainty associated to measurements of small objects in low resolution images In this study, for the first time, we applied soft computing technique based upon fuzzy inference system (FIS) for assessment of the severity of the peptic ulcer. Performance results reveal the FIS with maximum accuracy of 98.1%, which reveals superiority of the approach. The intelligent FIS system can help medical experts as a second reader for detection of the peptic ulcer in the decision making process and consequently, improves the treatment process.

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