Investigative Study of Fuzzy Logic Applications in Natural Disaster Management: A Comprehensive Review
Keywords:
Decision support systems, Emergency management, Fuzzy logic, Natural disasters, Risk assessment, Uncertainty modellingAbstract
Climate change, together with urban development and environmental destruction, results in more frequent and severe natural disasters, which include earthquakes, floods, hurricanes, and wildfires. Disaster management systems experience major difficulties when uncertainty and incomplete information and changing conditions are present during these events. The lack of proper modelling of disaster data uncertainty within traditional mathematical approaches results in suboptimal decisions for prediction and preparation and response phases. Fuzzy logic operates as a soft computing technique which effectively handles imprecise data through linguistic variables combined with membership functions and rule-based inference systems. The review examines the entire disaster management process through fuzzy logic applications which span mitigation and preparation stages and extend to response operations and recovery phases. The paper provides an organized overview of applications based on disaster types and fuzzy logic variants and methods while analysing performance advantages together with limitations and integrating new technologies such as IoT and big data and machine learning. This research aggregates recent studies to reveal essential directions and unexplored areas and forthcoming developments which aim to support both research and practical development of resilient smart disaster management systems.
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