Selecting the right material for a product is crucial, impacting performance and manufacturing. This research offers a valuable tool for engineers and designers facing complex material selection challenges within group decision making process. It introduces a novel framework for material selection that tackles uncertainties in the decision-making process. The proposed approach combines Fuzzy COPRAS with existing aggregation techniques. Fuzzy COPRAS allows for the inclusion of imprecise information, making it suitable for real-world scenarios with inherent ambiguities.  A case study showcases the practical application of this model by selecting the optimal material for high-pressure turbine blades. The model efficiently evaluates different materials like Nickel-based super alloys, Titanium alpha beta super alloys, and Stainless steels. A comparative analysis is conducted to show the validity of the framework.