The aim of this paper is to generate the mineral prospectivity mapping (MPM) for a porphyry copper mineralization area. First, three information layers of geochemistry, geophysics, and geology were defined as the main criteria with a total of 13 sub-criteria, eight for geochemical criterion, two for geophysical criterion, and three for geology criteria. As the Cu element is the main variable in copper porphyry mineralization. The geochemical criteria included the concentration values of 36 elements (Cu, Au, Mo, Pb, Zn, Ag, Ni, Co, Mn, Fe, As, Th, Sr, Cd, Sb, Bi, V, Ca, P, La, Cr, Mg, Ba, Ti, B, Al, Na, K, W, Hg, Tl, S, Sc, Se, Ga, and Te) from 87 rock samples that were analyzed by the induced coupled plasma (ICP) method. Before assigning the class scores for the quantitative and qualitative classes, a multivariate geochemical analysis (MGA) was done to reduce the number of the measured elements to a smaller number most related to the Cu mineralization. It was achieved through the probability plot modeling, calculating the threshold values of the Cu variable along with background and anomaly separation. The final step was discriminant analysis (DA), PCA, and agglomerative hierarchical clustering (AHC) analysis that reduced the number of elements to 8 elements as the geochemical sub-criteria. Then, the qualitative information was quantitated for the two criteria of geophysics and geology which were in the form of geophysical maps and geological information respectively. Then, the Preference Ranking Organization Method of Enrichment Evaluation (PROMETHEE) as one of the newest multiple attribute decision-making (MADM) methods was performed to obtain the net outranking flow for each criterion and for the integration of all criteria. Finally, the net outranking flow as the input data was used to generate the MPMs in Arc GIS 10.5 software which shows the promising areas for each criterion and for the integration of all criteria. The generated MPMs were then compared and the map obtained by integration of all criteria identified as a better result with the sharper boundary of the promising areas that can be used by decision-makers for future exploration programs.