The paper discusses a research study on Multi-Criteria Decision-Making (MCDM) applied to the internal grinding process of SKD11 tool steel. The objective is to find the most favorable input process parameters for the dressing process in order to minimize surface roughness (SR) and maximize wheel life (Tw). The MAIRCA approach was used to handle the MCDM task, while the Entropy method was used to establish the weights of the criterion. The experiment also involved the examination of 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 durability of the wheel and the roughness of the surface of the sample were measured and documented for investigation in the MCDM problem. The research findings have shown the most effective dressing options for internal cylindrical grinding.