Abstract- In the field of dentistry, there are several types of dental diseases. A wide variety of dental diseases become disease become a difficulty for among doctors or medical students to identify. The existence of a decision support system for doctors or medical students to define the disease using fuzzy logic is still not optimal to generate accuracy point. In this research, the optimization of the decision-making results in a dental recommendation disease using Tsukamoto Fuzzy Inference system. Optimization using particle swarm optimization PSO has been done one the membership degree function to get better results. Te results shown accuracy point value reached 88% from average accuracy testing.