Optimization of Fiber Reinforced Composites Selection Using Fuzzy TOPSIS Method

Fiber-reinforced composites are advanced materials consisting of strong fibers embedded within a matrix. These materials offer properties such as high strength, durability, and low weight. These characteristics render them valuable in industries such as aerospace, automotive, and construction. This study highlights the importance of enhancing composite materials through research focused on performance, cost, and sustainability. Utilizing the Fuzzy TOPSIS method, various composite types—including CFRP, GFRP, AFRP, NFRP, and BFRP—were evaluated based on their strength, weight reduction capabilities, cost-effectiveness, and environmental impact. This method effectively handles uncertainty and ranks alternatives by comparing them against an ideal solution. The results indicate that Carbon Fiber Reinforced Polymer (CFRP) composites achieved the highest ranking due to their superior strength and lightweight properties. Conversely, Natural Fiber Reinforced Polymer (NFRP) composites received the lowest ranking, owing to their lower performance across key evaluation criteria.