Application of the MABAC Method for the Selection of Denim Fabrics with Sustainability Framework

Denim fabrics are known as popular fashion products preferred by all age groups globally. With the growing environmental awareness among consumers, denim fabric manufacturers have increasingly adopted environmentally sustainable production practices. This study aims to evaluate eight different denim fabric samples based on their tear strength and tensile strength properties using the Multi-Attributive Border Approximation Area Comparison (MABAC) method. The denim fabrics analyzed in this study are composed of 100% cotton, 100% organic cotton, 70% cotton with 30% pre-consumer recycled cotton, and 80% cotton with 20% post-consumer recycled cotton. Each denim fabric undergoes laser treatment at varying levels, after which they are subjected to either rinse or 30-minute stone washing processes. The MABAC method ranks the fabrics based on the selected performance criteria. According to the ranking results, the sample denim fabric composed of 100% organic cotton, treated with a laser density of 32 dpi, a pixel time of 150, and subsequently rinsed, is the top-performing denim fabric.