Preparing Mineral Potential Map Using Fuzzy Logic in Gis Environment

In vector model, the boundary between features is stored and shown categorically in an absolute way, in other words Membership or non-membership of a point in each polygon is known which can be 0 or 1. For showing real world and its projection on map, because of the uncertainty on the border of the boundary between phenomena and spatial data, there is some uncertainty and vagueness in drawing and depicting features. Because of the uncertainty in membership and non-membership amount of each point of factorial map according to the distance from spatial features, fuzzy logic would expose and show the existence vague between phenomena and features, and thereafter a closer result to the real world. So using fuzzy logic could be useful and workable. Attempt of the present study is tend to describe the modelling and storage of real world on digitised map by fuzzy logic, and eventually the approach for maps’ integration in GIS by fuzzy logic with application test is presented. In our research three fuzzy operators proposed and using these operators, factor maps are integrated in case study. The result of using these operators comparing with conventional fuzzy operators shows that three proposed fuzzy operators have better result or have equal values with conventional fuzzy operators. In the present work as a case study, mineral potential map of porphyry copper ore of Rigan Bam in Iran is prepared by using of fuzzy logic.