Neuro-fuzzy techniques and Natural Risk Management. Applications of ANFIS models in floods and comparison with other modelsNeuro-fuzzy techniques and Natural Risk Management. Applications of ANFIS models in floods and comparison with other models Κεφάλαιο σε Βιβλίο Book Chapter 2022-07-192020enDuring the last decades, floods are getting more and more dangerous and they cause a lot of destruction either for human lives and/or for people’s properties. Due to different climate conditions, some parts of the world present increased levels of danger from floods. For this reason, the development of a robust tool for the prediction of floods is essential for the protection of people who live in these areas. An adaptive neuro-fuzzy inference system is a hybrid fuzzy system, which is based on Sugeno fuzzy inference along with the use of artificial neural networks for training. In this work, the current literature on adaptive neuro-fuzzy inference system models, which are used for flood prediction, is reviewed. More specifically, the mode of operation of such decision-making systems, along with their major advantages and disadvantages are presented in detail. A comparison with other similar models is also carried out.http://creativecommons.org/licenses/by/4.0/1Springer Tracts in Civil EngineeringNatural Risk Management and Engineering: NatRisk Project Tairidis Georgios Ταϊριδης Γεωργιος Stojanovic Nikola Stojanovic Nikola Stamenkovic Dusan Stamenkovic Dusan Stavroulakis Georgios Σταυρουλακης Γεωργιος Springer Nature Adaptive neuro-fuzzy inference system ANFIS Natural disasters Floods