It is a common practice in mineral potential mapping to acquire diverse exploratory data by means of providing weighted evidence layers and further identifying the exploratory targets. In fact, mineral potential modelling is an iterative process including exporting different evidence maps, integration the evidence maps and finally ranking the promising targets. Hence, due to model a mineral potential, different weighted evidence layers are exported and integrated after defining the conceptual model of the mineral reserve and selecting the proper exploration criteria. In the present thesis, fuzzy logic integration method is acquired by means of identifying the promising targets of 1:100000 geological map of Shahr-e Babak area. Shahr-e Babak area is of a high mineral potential importance due to the several known mineral depsits as Meyduk porphiry copper deposit. Thus, different data (i.e., geological, remote sensing, geophysics and geochemical data) is used by means of providing evidence layers. By using satellite imagery data and different techniques of characterizing the images as principal component analysis, band ratio method and identifying filters, alteration and type of the alteration is specified. Chorological unites and laminated structures are identified as well. However, faults of the area are identified by using geological, airborne geophysical and imagery data. Additional to the mentioned processing, catchment basin analysis (CBA) is done due to identification of the most proper compositions of mineralization. Also the buffer map of faults of this area was prepared. A proper logistic function is then used to represent the different evidence layers by a value between 0 and 1. The resulted weighted evidence layers are integrated by fuzzy set operations. According to the remote sensing investigations and the interpretation inferred by alteration zones, igneous petrology, annular and laminated structures and geochemical indexes, further promising exploratory targets are suggested. This targets include some inactive copper and lead deposits in central parts of study area and also some active mines in western north of study area such as Meyduk, Sara, Chahfiruze and Latala.