In the context of smart cities, effective disaster management is paramount for ensuring public safety
and resilience against natural calamities. This research presents a novel fuzzy-based decision support
system (DSS) designed to enhance disaster response capabilities compared to traditional DSS models. By
integrating real-time data from IoT sensors, social media, and meteorological forecasts, the fuzzy-based
approach adeptly handles uncertainties and ambiguities inherent in disaster scenarios. Experimental
results indicate that the fuzzy-based DSS significantly improves response times, achieving reductions
of up to 55% compared to traditional systems, while also enhancing decision-making accuracy to
rates as high as 92%. Moreover, the fuzzy system demonstrates superior resource allocation efficiency
and garners higher user satisfaction ratings. These findings underscore the efficacy of fuzzy logic in
transforming disaster management practices, positioning it as a critical component for the development
of resilient smart city infrastructures.
