Development of a Risk-Factor System for Predicting Occurence of Breast Cancer Using Fuzzy Logic

The high mortality rate associated with cancer and the inability to detect the disease early has led to a catastrophic reduction in the rate of survivability of the disease in women. We have attempted to improve on the rate of survival by using Fuzzy logic to develop a risk factor system for detection of breast cancer. The system has been implemented using the Mamdani fuzzy logic approach in MATLAB. A graphical user interface (GUI) has been developed using Microsoft Visual Studio 2012. The GUI was powered by a Fuzzy Logic Library and Visual C# was used as its programming language. Keywords: Breast Cancer, Disease, Risk factor, Fuzzy Logic.