Optimization of clinical decisions in periodontitis treatment through Neutrosophic SuperHyperSoft Sets Modeling

Abstract

Periodontal diseases, such as periodontitis, require effective treatments to control infection and improve oral health. Therefore, this study evaluated the effectiveness of different dental techniques using Neutrosophic SuperHyperSoft Sets modeling, which facilitated decision-making based on the stages of the disease and the parameters of each method. It was found that manual instrumentation is more effective in eliminating debris in deep pockets, while ultrasonic instrumentation stands out for its speed and ability to access complex areas. In fact, the combination of both techniques proved to be the most effective in the early and moderate stages. Additionally, complementary treatments such as laser therapy, metallic nanoparticles, and probiotics were identified as contributing factors in controlling periodontitis. In conclusion, the modeling based on Neutrosophic SuperHyperSoft Sets allowed for a precise selection of techniques, optimizing clinical decisions for the treatment of periodontal disease.