 The study used GIS and IS platforms to predict quantitative geothermal potential in the southwest section of the mid-spine belt of beautiful China by selecting six impact factors, establishing a certainty factor model, CF, and applying weights to information entropy certainty factor model, ICF, and evidence certainty factor model, ECF. The results show that ECF had high prediction accuracy and identified six main geothermal resource areas.