Inconel 718, a nickel based alloys, has found in many industries because of their unique combination of properties such as high strengths at elevated temperatures, resistance to chemical degradation, and have high wear resistance. The present work is focused on Taguchi based fuzzy logic loss function for the optimizing the arithmetic surface roughness (Ra and Rt) and cutting force (Fz) in dry turning of Inconel 718. This fuzzy interface system is used to identify the relationship between the responses and experimental design in order to determine the effectiveness each machining parameters in Taguchi's design of experiment concept. Machining experiments were performed at medium duty lathe using PVD AlTiN coated tungsten carbide cutting tool. Cutting speed, feed rate and depth of cut were selected as cutting parameters. Taguchi method with the orthogonal array L9 is applied in this experiment with the selection of cutting parameter of cutting speed of 30, 50, 70m/min, feed rate of 0.103, 0.206, 0.294 mm/rev, and depth of cut of 0.2, 0.3, 0.4 mm. From the fuzzy loss function process, the optimal cutting conditions for the responses were effectively determined as v2f1d3. By applying ANOVA, feed rate is the most significant factor that influences the machining process. © 2006-2014 Asian Research Publishing Network (ARPN).