Towards Developing Type 2 Fuzzy Logic Diet Recommendation System for Diabetes

Diabetes is one of the metabolic diseases which effects on productivity and human quality of life. Diabetes management is a difficult task for patients to monitor and control blood glucose levels and avoid serious diabetic complications. It is also difficult for doctors to manually interpret large volumes of blood glucose data to tailor treatment to the needs of each patient. Balanced diet and physical activity should be the better treatment for diabetes and they can help patients to avoid serious complications. Hence, there is a need to employ technology to help diabetics and doctors to control the disease and reduce its complications. Various techniques have been employed for Diabetes diet recommendation. However, there is a need for any technique to handle the available uncertainties associated with varying people opinions and preferences. This paper presents our work in progress to develop a type 2 fuzzy logic based diet recommendation system for diabetes to help achieving a healthy lifestyle to control the disease.