Flood exposure risk assessment is essential for hydrological study, urbanization planning, and land development. Due to the nature of thunderstorm Precipitation and the land cover, primarily arid land soil, flood hazards are significant in arid nations. Depending on the many elements that influence the possibility of occurrence, various methodologies have been developed to evaluate flood risk. However, the nomination of these variables and their weighting remains uncertain. Based on the nominated flood factors, daily precipitation data collected from 2011 to 2022, elevation, land cover, soil type, slope, Flow accumulation, and topographic wetness index (TWI) were classified, weighted, and overlayed to accomplish the study's target. The study's novelty is that it employs innovative methods based on the F-AHP and AHP for assessing flood susceptibility in the Dead Sea region/ Jordan and their applicability in the Jordan floods context for the first time. Examine broader research region in this poorly monitored and arid area. Geographical Information System (GIS) was utilized to generate thematic maps of the above criteria for the studied region. In conclusion, Findings from fuzzy logic are more reasonable than AHP outcomes. This is most likely due to the F-AHP allowing for uncertainty and evaluating a broader range of values than fuzzy logic. Executives can have a better understanding of the potential effects of different flood risk control approaches and emphasize their efforts by using the F-AHP to examine the components mentioned above and their interactions and then using the study's findings and recommendations to guide their decisions and ensure long-term hydro-meteorological risk management.