Welding has a wide range of applications in industry, thus it's critical to optimize the process parameters to get better outcomes. However, successful metal welding has posed significant hurdles in terms of the mechanical properties of the materials to be bonded under a common welding situation. Most of the researcher’s focused on thick plate metal tungsten inert gas welding and welding thin sheets is one of today's most difficult engineering tasks. As a result, a range of issues arise during welding, such as cracking, excessive weld residual strains, stress corrosion, and so on. This work aims to optimize tungsten inert gas welding input parameters to improve the tensile strength, bending strength, and hardness of 304 Austenitic stainless steel sheet metal. Speed control set up has been designed to increase the welding quality. To determine the effect of process parameters on butt weld joints, the input parameters were chosen with a range of welding current from 70 to 110 amps, welding speed from 13.9 to 25 cm/min, voltage from 12 to 23 volts, and Argon gas flow rates from 5 to 10 L\min. L9 orthog-onal array design was used to conduct the trials. The Taguchi, Fuzzy Logic, and ANOVA were utilized to examine the welding qualities of metal joints in order to improve the tungsten inert gas welding input parameters. A mathematical model was built to compare the outcomes of the experiment to the fuzzy logic model. Tensile strength, bending strength, and hardness maximum values were found to be 614.8 MPa, 765.5 MPa, and 94.3 HR, respectively. The best combination of characteristics was found to be welding current of 110 Amp, welding sped of 13.86 cm/min, voltage 17.5 V and Gas flow rate 7.5 l/min. The results obtained shows that the Gas flow rate was the greatest influence on response, followed by welding current. Finally conformation tests results were conducted within the 95 % confidence interval. Keywords: Tungsten inert gas welding, stainless steel, process parameters, Taguchi, Fuzzy Logic, mechanical properties