Reducing different types of risk is one of the most important factors and parameters of mineral exploration. For this reason, understanding the environment under consideration is one of the risk reduction strategies. Combining exploratory information such as geophysics, geochemistry, remote sensing, tectonics, and geological information will reduce costs, in addition to restricting the area to smaller sections. Various methods have been introduced to integrate data and choose the optimal decision based on existing criteria and their importance. In this study, index overlay, fuzzy logic, hierarchical and TOPSIS analysis methods were selected due to their high utilization in mineral studies for combining exploratory data and comparing their results. Due to placement in the Orumiyeh-Dokhtar zone, the Kahak region has a favorable mineralization condition. The purpose of this study is to investigate the metal mineralization potential (manganese, copper, lead, and zinc) in the 1:100,000 sheet scale of Kahak. In this study, geochemical, remote sensing, tectonic and geological information layers were used for metal mineralization potentials. Comparing the output maps, and by integration with existing indices and mines, fuzzy logic, hierarchical analysis, and TOPSIS methods showed more acceptable results than the index overlay method. Given that all four approaches provide the same results, more or less, areas that are prone to mineralization at least in two methods, are prioritized for field surveys. The results of the studies showed that the central part of the 1: 100000 sheet for Kahak has potential for lead and zinc elements, the northern and eastern areas have manganese potential and finally, the southern and eastern areas have copper potential and were introduced for future studies in larger scale.