Arca, DenizYalcin, Femin2024-05-102024-05-102023https://dspace.ankara.edu.tr/handle/20.500.12575/90860Flood events, which are considered as natural disasters, cause significant loss of life and property throughout the world. In order to be fully prepared for the flood, which is a disaster of meteorological origin, it is necessary to create flood risk susceptibility maps. Flood risk susceptibilities are values determined by considering different criteria that may cause flooding. Determining the weights of these criteria is also a problem that needs to be addressed. Due to the hierarchical structure of the aforementioned criteria, the problem of determining flood risk sensitivity was deemed suitable to be modeled as a fuzzy multi-criteria decision making (MCDM) problem, and a fuzzy analytic hierarchy process (FAHP) based model was used in this study. The use of Geographic Information Systems (GIS) in basin studies is increasing day by day. Geographic Information Systems are used to collect, process and analyze existing data in order to identify potential risk areas. In this study, flood risk susceptibility maps of the İnebolu Basin, located within the borders of Kastamonu province in the west of the Black Sea Region of Turkey, were created by using different fuzzy analytic hierarchy process methods and the obtained results were compared with each other.enAHPFuzzy AHPFloodFlood Risk MapsGISArticle