This dissertation, presented to the Professional Master's Program in Technological Innovation at the Federal University of Triângulo Mineiro, focuses on the comparative analysis of two popular approaches of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) for supplier segmentation. The study aims to provide insights into sustainable supplier segmentation by applying these methods to the supplier segmentation matrix proposed by Rezaei and Ortí (2012). Two methods of sustainable supplier segmentation are presented, differing in the derivation of the criteria weight vector in the fuzzy AHP approach. The first method uses the geometric mean method, while the second uses the extent analysis method. The segmentation results in four segments of a two-dimensional matrix: " supplier's sustainable capabilities" and " supplier willingness to cooperate." The methods are then compared based on four criteria: the order and values of the criteria weights, supplier performance, sustainable supplier segmentation matrix, and suitability to change criteria. The practical application of the supplier segmentation was conducted in a dairy company. The results show that both methods produce very similar segmentation matrices, but the one using the geometric mean method is more adequate due to its better performance in the analyzed comparison criteria.This dissertation, presented to the Professional Master's Program in Technological Innovation at the Federal University of Triângulo Mineiro, focuses on the comparative analysis of two popular approaches of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) for supplier segmentation. The study aims to provide insights into sustainable supplier segmentation by applying these methods to the supplier segmentation matrix proposed by Rezaei and Ortí (2012). Two methods of sustainable supplier segmentation are presented, differing in the derivation of the criteria weight vector in the fuzzy AHP approach. The first method uses the geometric mean method, while the second uses the extent analysis method. The segmentation results in four segments of a two-dimensional matrix: " supplier's sustainable capabilities" and " supplier willingness to cooperate." The methods are then compared based on four criteria: the order and values of the criteria weights, supplier performance, sustainable supplier segmentation matrix, and suitability to change criteria. The practical application of the supplier segmentation was conducted in a dairy company. The results show that both methods produce very similar segmentation matrices, but the one using the geometric mean method is more adequate due to its better performance in the analyzed comparison criteria.