  Quality of life assessment represents a key process of deciding treatment
success and viability. As such, patients' perceptions of their functional
status and well-being are important inputs for impairment assessment. Given
that patient completed questionnaires are often used to assess patient status
and determine future treatment options, it is important to know the level of
agreement of the words used by patients and different groups of medical
professionals. In this paper, we propose a measure called the Agreement Ratio
which provides a ratio of overall agreement when modelling words through Fuzzy
Sets (FSs). The measure has been specifically designed for assessing this
agreement in fuzzy sets which are generated from data such as patient
responses. The measure relies on using the Jaccard Similarity Measure for
comparing the different levels of agreement in the FSs generated.
