Research on classification methods for emergency material management based on fuzzy clustering algorithms

The classified storage of emergency supplies is crucial for rapidly responding to emergencies. This research employs fuzzy clustering algorithms to develop a fuzzy matrix that reflects the characteristics of diverse emergency materials. Subsequently, the clustering relationships among these materials are established based on their affiliations. This paper demonstrates the feasibility of the fuzzy clustering algorithms in emergency materials management through case analysis and classifies materials with similar attributes into a single category for storage. In this case, study, selecting different λ values can provide various classification storage solutions for emergency supplies, demonstrating that storage of emergency supplies based on fuzzy clustering has practical significance for the classification management of emergency materials.