Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab

“Dengue is a mosquito-borne tropical disease caused by the dengue virus. Dengue is spread by several species of female mosquitoes of the Aedes genus which is Aedes aegypti.” However, the dengue symptoms have many similarities with other diseases likes malaria. In addition, the diagnosis dengue manually may occur some human error which make the diagnosis dengue is inaccurate. This paper is presents the used of fuzzy expert system in diagnosis the disease with the objectives to identify clinically-known dengue symptoms, develop the diagnosis system using MATLAB and Fuzzy Logic Toolbox, and classify the dengue symptoms from the information received. The methodology of this paper is waterfall model which is life cycle of the system development (SDLC). Moreover, the paper is about the development of system to help doctor to diagnosis dengue symptoms more efficient. The development of dengue diagnosis using fuzzy expert will improve the work capability for all the doctors because the system help in the diseases analysis with more accurate and efficient. The technique Mamdani fuzzy inferences is the most suitable in development of the system because this system need output membership function.