Health related quality of life is one of the growing subjects used for evaluating health conditions among patients who suffer from specific ailment.It has been assumed that identification of the variables is able to mirror the one's general health conditions.However,formulating the extent of contribution is multiple variable towards overall health conditions is not straight forward as the arbitrary nature of HRQL variables.This paper aims to model the relationship between HRQL variables using an Integrated model of fuzzy inference system and linear regression.An experiment was conducted to measure the strength of the relationship between the variables and health indices among diabetes patients.To model this relationship,one hundred and fifty out patients with diabetes were drafted from a government funded hospital in Gbagada,Lagos state.Linguistics data were collected via guided interview and fed into the fuzzy inferences system to yield HRQL indices.Multi linear regression were then Carried out to establish the relationship between the variables and HRQL indices.The model shows that the variable of emotion was indenfied as the highest risk factor for diabetes patients.The use of integrated model,fuzzy inferences system and multi linear regression were successfully identified the strength of the relationship between the multi variables of HRQL and the health status.