Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
This paper describes fuzzy evaluation method for criteria dependency in human health conditions by changing medical checkup reference. In our previous paper, we proposed an evaluation method based on fuzzy logic for health checkup data. This method converted health checkup data into fuzzy normal degree to evaluate multivariate data. We defined the fuzzy normal degree as an attribute value in closed interval [0, 1] by using fuzzy membership function which was defined by diagnostic criteria. Furthermore, total health indices which are defined by operation of the fuzzy normal degrees are treated as the same scale. These indices can express human health conditions in health checkup result using fuzzy set. In this paper, to investigate fuzzy normal degrees by changing to new reference interval, we employ new reference interval and form new diagnostic criteria, and visualized health changes by calculating the total health indices using our proposed method. As the result, we succeeded in visualizing health change by fuzzy normal degree and fuzzy health indices, and confirmed quantitatively that disease patients decrease by changing to new reference interval.
