A Fuzzy Logic Based Model for Life Insurance Underwriting When Insurer Is Diabetic
Sanjeev Kumar, Hemlata Jain · 2012
In life insurance medicine the mortality of the applicants with in the period of insurance is assessed on the basis of present risk factors or diseases. Unlike hypertension or overweight, where risk assessment of the medical values is possible directly, the risk assessment of diabetes is a complex problem. If a person is diabetic then to find out the mortality of insurer for life insurance medical underwriting is a complex problem due to multitude of medical risk factors. For life insurance medical underwriting, to handle this complex problem the insurance companies are in need to have a reliable expert system that can help them to evaluate the mortality of the applicants with in the period of insurance. Here a model is presented, which is based on fuzzy expert system that will help insurance companies to find out the mortality of insurer in the existence of diabetes for life insurance underwriting.