Diagnosis of Common Diseases Using Type-2 Fuzzy System

High level of expertise is required for human disease diagnosis which is a complicated and difficult process. Each disease is characterised with the set of observable sign and symptoms. Based on these symptoms to understand patient health problems and to make a diagnosis of these diseases with their clear definition is difficult. The diagnosis of the disease is based on knowledge of doctor physicians. Fuzzy logic is one of the best approaches to design knowledge-based system for diagnosis of the diseases. In this paper, the design of a type-2 fuzzy system is performed for diagnosis of the common diseases using proper values of the inputs. The input symptoms and output diseases are defined for construction of the fuzzy rule base. The relationships are presented using type-2 IF-Then rules. Based on the fuzzy rules the design of type-2 fuzzy inference system is performed. The designed system will help the physician to diagnose common diseases such as common cold and flu.