Historically Asiatic cheetah ( Acinonyx jubatus venaticus) was distributed in vast areas of Asia and was found from Sinai through Iran to India. Today the distribution of Asiatic cheetah is only limited to Iran with estimated numbers of less than 70. As a consequence, this taxon is categorised as Critically Endangered (CR) in the IUCN red list. To save the remnant population of Asiatic cheetah in Iran, Conservation of Asiatic Cheetah Project (CACP) was initiated more than a decade ago by UN. Successful conservation of threatened species requires comprehensive understanding of their ecology and their interaction with environmental factors. Bayesian Belief Network () is a kind of graphical model that incorporates probabilistic relationships among variables and integrate different sources of knowledge. The study area was located in central Iran where containing the most important Asiatic cheetah habitat. An influence diagram was developed construct a cause and effect relationship between the most important habitat variables affecting the species. This diagram was then converted to an initial by populating the model by semi-subjective probabilities obtained from Cheetah experts. Quantifying the variables relationship was performed in Netica 3.12 software. The behavior of the model was tested using sensitivity analysis. Model accuracy was evaluated by application of hypothetical data as well as 146 actual presence point and 30 absence points of cheetah in the 5 protected areas. The model correctly predicted 97.2% of the presence points and 100% of the absence points of the species. The studied variables were mapped by Arc Map 9.3 software. A habitat suitability map for Asiatic cheetah in central Iran was then produced by overlaying suitability Siyah-Kuh National Park , the northern part of Bafgh Protected Area and the southern part of Dare-Anjir Wildlife Refuge were recognized as the most suitable habitats. The developed model is a valuable tool for predicting cheetah habitat suitability, which can assist in adaptive management of the species. Keywords: cheetah, Habitat suitability modeling, Bayesian Belief Networks, Sensitivity analysis