Abstract—Health Related Quality of Life (HRQL) is one of the increasing subjects used for assessing health condition among patients who suffer from specific diseases or ailment. It has been assumed that identification of the variables is able to mirror the one’s overall health conditions. However, devising the extent of contribution of multiple variables 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 inference system and linear regression. An experiment was conducted to measure the strength of the relationship between the variables and health indices among cancer patients. To model this relationship, thirty outpatients with cancer were recruited from a government funded hospital in Kuala Terengganu, Malaysia. Linguistic data were collected via guided interview and fed into the fuzzy inference system to yield HRQL indices. Multi linear regressions were then undertaken to establish the relationship between the variables and HRQL indices. The model shows that the variable of emotion was identified as the highest risk factor for cancer patients. The use of integrated model, fuzzy inference system and multi linear regressions were successfully identified the strength of the relationship between the multi variables of HRQL and the health status.