A Proposal for a Fuzzy-Based Architecture for Rescue Operations in Earthquake Scenarios

In light of increasing natural disasters, especially earthquakes, there is a pressing need for innovative technologies that can greatly enhance the efficiency and effectiveness of rescue operations. Breakthrough methodologies for data collection and analysis can support the design of disruptive architectures capable of gathering and analyzing information from unstable and damaged data networks. This can aid in planning fast and targeted recovery operations, maximizing the number of lives saved. This paper proposes computational architecture that utilizes fuzzy rule-based systems with real-time sensor data to enable rapid and interpretable decision-making processes during critical search and rescue missions. Preliminary simulations indicate that fuzzy systems are suitable for efficient use in critical scenarios, such as those related to post-earthquakes.