The study deals with the optimization of turning parameters for Titanium Alloys Ti410A, which is an important parameter for aerospace, biomedical and industrial applications due to its better machinability results. Ti410A is difficult to machine because of its low thermal conductivity and high chemical reactivity resulting in excessive tool wear and poor surface finish. The purpose of the research is to systematically investigate the effect of cutting speed, feed rate and depth of cut on MRR, surface roughness and tool wear in dry turning. The Taguchi L16 orthogonal array was used in a structured experimental approach and ANOVA was used for statistical analysis. Also, to identify the optimal machining variables, MADM techniques, i.e., MOORA and TOPSIS were combined with entropy-based weighting. The results revealed that the surface roughness and tool wear were significantly affected by cutting speed and the effect of feed rate on MRR was significant. The best machining parameters found were cutting speed of 557 m/min, feed rate of 0.167 mm/rev and depth of cut of 0.4 mm which produced a high MRR of 74.42 mm³/min, a low surface roughness of 0.90 µm and a low tool wear of 0.2892 mm. This study has the novelty of combining the MOORA and TOPSIS method with entropy-based weighting for optimization of Ti410A machining, which is not detailed in the previous studies. The methodology is applicable for making cost effective data driven approach to improve machining performance and will be helpful for industrial application.