FIS-Based Prediction And Estimation Of Health Insurance For Workers In The Manufacturing Sector

Abstract

In the manufacturing industry workers life is very risky and they are getting less salaries. In that situation they need the health insurance for their medical expenditures. Various accept that representatives’ wellbeing and financial elements assumes a significant part in their possibility to buy medical coverage. In presents study, a decision model namely Fuzzy Inference System (FIS) tool of MATLAB2014b used for the employees to identify and purchase appropriate insurance policies according to their potential and other various factors which may affect the decision of purchasing a policy. For the same purpose, data of the hundred workers from a manufacturing industry have been considered as input in FIS. The three parameters of workers such as risk of illness, salaries of the workers and age have been considered chance for purchasing health insurance. It is found in this study that 08% workers were probably going to buy health care coverage at 'Low' level and 34% workers show their possibilities at 'high' level. After carefully examination this study advocate that FIS would offer potential legitimizations to set a new approach in distinguishing planned health care coverage buyers and may use for finding the risk factors in other industries.