Flooding is an unpredictable phenomenon, particularly in recent years. Today, the world is witnessing major climate changes in all its regions, leading to natural disasters, particularly floods caused by heavy rainfall. Floods account for more than 50% of natural disasters, resulting in an average of 20,000 deaths per year globally. In Algeria, a North African country, the land is subject to frequent flooding, the consequences of which include the deterioration of communication routes, the flooding of agricultural land, and sometimes even the flooding of certain built-up areas, sometimes resulting in human losses. To meet these challenges, it is vital to adopt integrated decision-making approaches, such as multi-criteria methods (MCDM), which allow various interdependent criteria relating to urbanization and hydrology to be considered. Among these methods, Hierarchical Process Analysis (HPA) helps to structure decision criteria hierarchically. At the same time, the Aspect-Based Elimination Method (ABE), or TOPSIS, ranks alternatives according to their proximity to an ideal solution. The Multi-Attribute Alternatives Analysis Method (MAUT) focuses on evaluating alternatives by considering several attributes. The Analytical Network Process (ANP), on the other hand, offers a flexible approach to modeling complex interdependencies between criteria. In the Algerian context, ANP is particularly well suited, as it allows for the consideration of complex interactions between different environmental and socio-economic factors for the consideration of complex interactions between different environmental and socio-economic factors. Furthermore, scenario-based optimization is essential for anticipating the impact of climate change on flood management strategies. Thus, by integrating these methods, particularly ANP, decision-makers can better protect vulnerable populations and infrastructures from flooding in Algeria.