Iran is placed on Ag – Pb – Zn belt. According to the recent studies, 11 million tons of lead and zinc and silver ore which is equivalent to 4 percent of world reserves, hold in Iran. Since mineral exploration is doing in uncertain condition, risk of investment is unavoidable. So it is important to minimize the impact of these adverse factors in exploration. For this purpose, it is necessary to have a framework for exploration and extraction activities. It can be possible to achieve this goal by using mineral potential modeling to determine promising areas, which should be considered in more detailed steps. The aim of this thesis is to investigate the feasibility of jointly apply Neuro-Fuzzy and TOPSIS methods to determine Pb/Zn deposits. In this study, the proposed method is applied to geological data, remote sensing, geophysics and geochemistry to the potential acquisition of Pb-Zn mineralization at the Isfahan - Khomein zone as one of the mining area Iran's Pb and Zn were introduced, been done. This area, which has a large number of Pb-Zn mineralization, is considered as the target area. The results of fuzzy method using Pb-Zn mineralization observed layers, confirming the high potential of Pb and Zn mineralization in this area which has a NW-SE trend, and more than 90% of the mineral indices and known deposits are covered. In this study it is shown that the hybrid model TOPSIS - Neuro-Fuzzy (a combination of neural networks, Fuzzy logic and TOPSIS), increased the resolution of promising areas of potential zones of mineralization in comparison with Fuzzy.
