Landslide is the result of the interaction among several nonlinear factors; and a large amount of field data is needed to predict it. The Mamdani fuzzy inference system(FIS) model is applied to the Badong-Zigui area in Three Gorges Reservoir Region; and the results are analyzed. Based on the 3 kinds of factors (geomorphology

eco-environment and geology)

which are collected by GIS and RS

192 rules of inference are established. The regional landslide prone zoning is mapped and the susceptibility indices are derived using the Mamdani FIS

which is developed and employed in Matlab. The area under curve (AUC) obtained from the receiver operating characteristics (ROC) based on results is 82.8%

indicating that this landslide susceptibility map is successful. With the parameters selected by spatial information technology

the Mamdani FIS using its nonlinear analysis capabilities

based on expert opinion and specific inference rules

is free from prior knowledge

simplifying the data requirement. In addition

the model could suit to different areas with simply changes in reference rules based on expert opinion

demonstrating a strong adaptability.