Abstarct: Considering the role of minerals in the basic needs of various industries, searching for exploration with efficient ways seems necessary. This recognition is made using mineral potential modeling is outlined as one of the most important steps in finding areas, which possess a series of criteria for the presence of a certain type of deposit. The first step in mapping potential is identification of essential data, which required for integration. Here for integration in GIS, we used three data laxyers including geology, geophysics and alteration. The result of mineral potential modeling is a map in which probable locations of unknown deposits have been determined. According to the importance of copper and being Iran on the global copper belt, copper exploration in the area is very important. Porphyry copper ore deposit located in northeast of Ahar is on one of the tectonic and active zones of central Iran called Orumieh-Dokhtar. Igneous mass of ore deposit in this area is micro quartz monzonite-mico monzo diorite type and also mineralization has been formed in igneous mass and is seen with andesite and dacite- andesite. The aim of this study is to determine the ore deposit location and dispersion. For this purpose, magnetic field surveys along 22 north-south lines with more than 1100 magnetic stations have been carried out, then for more study, the electrical resistivity and induced polarization field surveys along 3 south-north lines with using dipole-dipole array in both areas were carried out. After acquiring the resistivity and induced polarization data and drawing the pseudo sections, inverse modeling of the data was made using DCIP2D software and mag3dinv for magnetic data, which has been presented by British Colombia University Geophysics department that works baxse on Oldenburg and Li algorithm. Data integration and analysis within GIS can improve exploration and detection of mineral deposits. We applied a GIS-baxsed analysis and geophysical data to rich and well- explored copper index, attempting to recognize the distinctive signature of such giant ore deposits. Image-baxsed favorability mapping is a supplementary exploration tool and is only applicable to exposed deposits. On the basis of geological factors, alteration lithological and geophysics data interpretation of copper indices an exploratory model in GIS environmental presented that it will be highly applicable in the area. Complexities of geological processes portrayed as certain feature in a map (e.g., faults) are natural sources of uncertainties in decision-making for exploration of mineral deposits. Besides natural sources of uncertainties, knowledge-driven (e.g., fuzzy logic) mineral prospectivity mapping (MPM) is also plagued and incurs further uncertainty in subjective judgment of analyst when there is no reliable proven value of evidential scores. This paper aims for fuzzification of continuous spatial data and expected value to further improve fuzzy logic MPM because the analysis of uncertain variables can be presented in terms of their expected value to generate exploration target areas for further examination of undiscovered deposits which eventually led to the determination of the drilling point in the area.