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Abstract
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Universities are dynamic environments where diverse activities involving students, faculty, and staff occur daily. Existing research highlights the need for effective emergency management systems to address natural disasters, health crises, and security threats that can disrupt campus operations. The complexity and unpredictability of emergencies still make it difficult for current models to respond optimally or even at all. With the help of Fuzzy Set Theory, the study offers the Fuzzy Adaptive Emergency Response Model (FAERM), which aims to tackle such issues. Applying fuzzy logic concepts, the FAERM evaluates uncertain and imprecise data, such as changing priorities, resource limits, and risk levels. Emergencies are categorized, and decision-making is supported in real time by a structured framework of fuzzy rules and membership functions. The model's effectiveness was validated through simulated scenarios, including fire outbreaks, extreme weather conditions, and medical emergencies. Results demonstrate that FAERM enhances emergency response by improving decision-making accuracy and optimizing resource allocation. It significantly reduces response times and increases safety during critical incidents. Universities are given a powerful weapon by FAERM, which offers a practical and adaptive method to manage emergencies effectively, minimize disruptions, and preserve campus populations. This study adds to the growing knowledge of advanced emergency management tactics, which can be used in various complicated settings.
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