Selection of Wind Turbine Blade Material Using Intuitionistic Fuzzy TOPSIS Method

Utilizing turbines for wind energy is crucial for sustainable power. The effectiveness of turbines heavily relies on the blades, making material selection vital for their design. This study employs multi-criteria decision making (MCDM), particularly intuitionistic fuzzy (IF) in the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, to facilitate material selection. The Intuitionistic Fuzzy Weighted Averaging (IFWA) operation aggregates the ideas of the decision-makers (D-Ms), prioritizing criteria and alternatives. The combined method, blending the Intuitionistic Fuzzy Set (IFS) and TOPSIS, proves highly efficient in determining the most suitable material among alternatives based on established criteria. The findings highlight carbon fiber as the premier choice, suggesting its adoption for enhanced wind turbine blades.