Identification of areas prone to occurrence of fire is considered as one of the basic practices in the management of forests and rang land and reducing the damage caused by this phenomenon, so determination of fire risk is effective in the management and prevention of fire events. Fire event is one of the most important destructive factors in forests and rang lands, which always threatens critical ecosystems. By using the GIS one can identify and monitor more precisely the high fire risk points. The purpose of this study was to identify areas with high fire potential in Marvdasht city of Fars province using Analytical Hierarchy Process (AHP) and Geographic Information System (GIS). In order to model the fire hazard, the researcher made use of Analytical Hierarchy Process for weight to determine the factors influencing fire burning. Then maps for each factor for the identification of fire hazard zones were prepared. These factors include five main criteria and 18 sub-criteria. The main criteria are topographic, biological, climatic criteria, human-made criteria, and human criteria. In order to map out these factors, the study made use of data and a topographic map with a scale of 1/25000 existed in the Office of Natural Resources and Watershed of Fars province. Also, a map of past fires was prepared by the use of the data of the Department of Natural Resources and Watershed of Fars province. To assess the factors influencing fire burning, the hierarchical analysis of the linguistic scale was used to express the importance of the factors and the results of evaluation of distributed questionnaires among firefighting experts in the field of natural resources. Then, the compatibility ratio of each criterion was calculated for checking the weight of the criteria by Eexpert Choise software. The results showed that the final weights of social, biological, climatic, topographic and human-made criteria in the fire hazard potential were 0.476, 0.249, 0.135, 0.881 and 0.059 respectively. After obtaining the weight of each criterion by using the hierarchical analysis method, the fire hazard model was presented in the region's natural lands, Then the map of all the effective factors in fire burning (18 sub-criteria) was fused with standardization in GIS environment and pixel values of each map were evaluated from 0 to 1. Then, the map of all the effective factors in fire burning (18 sub-criteria) was fused with standardization in GIS environment and pixel value values of each map were evaluated from 0 to 1. Finally, with the use of obtained model, firstly the main criteria (from the weighting of the sub criteria of each criterion) and secondly the final map of the fire risk in the area of the region (from the integration of the five main criteria) were prepared. At the end, the map of the fire risk of the area was presented in 5 0.83), which indicates the validity and reliability of the model. As expected, the highest fire risk was observed in altitudes and forests of oak and Pistacia, and a total of about 19% of the area of the studied area has a high fire risk. Key words: Mapping, fire hazard potential, Analytical Hierarchy Process, geographic information system, Marvdasht