Supercritical heat transfer correlations are obtained under the certain experimental conditions.The experimental parameters and its application scope is different under different experimental conditions, such as pressure, mass flow density, heat flux, tube diameter, temperature and so on. Supercritical heat transfer correlations are generally chosen in line with the correlation experimental conditions. However, some parameters are calculated under some conditions, under which we can not achieve good results, and at the same time it is prone to increase the deviation. We can choose the best experimental correlation of different experimental conditions based on the fuzzy nearness principles. The existent similarity degree mathematical model is limitated when calculating some similarity parameters.Using new mathematical calculation model resolves this problem, and we can get better experimental correlation for different supercritical heat transfer conditions with the relational selection.