“…To organize the data, a matrix can be formed, where rows correspond to the different alternatives (n direction), and columns to the variables or tests performed (m direction). (3, 4, 5) 6 (5, 6, 7) 8 (7,8,9) The Fuzzy triangular membership function was employed, as demonstrated in Figure 1, where "l", "m", and "u" refer to the lower, medium, and upper fuzzy numbers of the triangular axis. For the AHP method, variables are placed in an "n" factor matrix, and a value of importance is assigned when making the pairwise comparison among the variables.…”