The natural hazards have an important role in the human life and their damages may compensate more than several years. Landslides, as the one of the natural disasters, have killed over 107 people and damaged about 386 billion Rials in Iran that happened from 2548 landslides. Based on this impact, this study intends to determine the landslide high-risk areas in the west of Mazandaran. For this purpose, the required and available layers have been determines which are the parameters of slope, land use, distance from the fault, distance from the river, distance from the road, rainfall, and geology. According to the estimated effects and damages, each layer was classified into the risk levels. The Genetic Algorithm was implemented on the layers in order to determine the dangerous areas. The input data were divided to non-fuzzy and fuzzy sets to detect the high-risk areas in two methods. Then, the high-risk susceptible sites were specified on the map for both of them. The obtained results were assessed and compared non-fuzzy and fuzzy approaches. This shows that the northern part of the region has the landslide high-risk areas rather than other regions in the west of Mazandaran province.

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