Fire risk mapping is a basic planning and protection element. This study presents the application of fuzzy logic in a geographic information system (GIS) as an alternative multi-criteria analysis for determining the areas of highest risk of forest fi re in natural forest remnants in the Brazil. In the decision-making process, a set of factors that are relevant to fi re safety were identifi ed in the study area. For each input variable chosen for the model, a pertinence function was defi ned that best described its infl uence on fi re risk. Subsequently, the variables were combined for the presentation of the fi nal fi re risk map. Concluded in the study that an increased risk of fi re occurs at the wildland -urban interface. A strong relationship was observed between the fi re ignition points and proximity to roads and urban areas. The proposed model was effi cient to integrate the variables and determine areas of greatest risk.