<p>This study presents an innovative decision support system aimed at addressing the challenges of uncertainty and resource allocation in disaster management. In addition, the Philippines is presented as a case study to demonstrate its practical implementation and validate its effectiveness. The core of the methodology is based on Picture Fuzzy Sets (PFSs). PFSs are utilized to represent and consolidate linguistic uncertainty associated with different hazard categories. Essential methodologies encompass the calculation of Hamming distances, product-based aggregation operators, Z-score normalization, and a softmax-based weighting approach. These methods collectively convert raw disaster data into substantial disaster-specific weights. A weighted p-median approach is utilized to optimize the allocation of emergency operational centers. While the methodology is broadly applicable, the results confirm that the proposed approach offers a flexible and precise tool for multi-criteria decision support in disaster management.</p>