This paper represents an investigation on Multi-Criteria Decision-Making (MCDM) in the process of internal grinding of SKD11 tool steel. The goal is to identify the most effective input process parameters for the dressing process, with the objective of minimizing surface roughness (SR) and maximizing wheel life (Tw). The MARCOS methodology was used for handling the MCDM task, while the Entropy method was applied to ascertain the criterion weights. The experiment also involved analyzing six input process parameters: coarse dressing depth, coarse dressing passes, fine dressing depth, fine dressing passes, non-feeding dressing, and dressing feed rate. The experiment was conducted utilizing an L16 orthogonal array and the Taguchi method. The longevity of the wheel and the roughness of the surface of the specimens were measured and recorded for analysis in the MCDM publication. The research findings have shown the most effective dressing choice for internal cylindrical grinding.