Fuzzy Analysis Methods for the Estimation of Medical Service Value Model

Wiyada Kumam, Adisak Pongpullponsak

Abstract

This article develops an estimation of a model for non-surgical and surgical medical service value of informal workers for the social security system in Thailand. By using the data of workers in the year 2010 provided by the Social Security Office, we analyzed and established the medical service value model.

The data obtained from the fuzzy clustering analysis is used in creating a membership function in fuzzy logic. Subsequently, the result from this model, which is compensation for medical expenses, will be considered in the estimation of the monetary value of medical services for the informal workers. Moreover, the result of this method gave closer estimates to the real expenses comparing to the regression method.