A safety vulnerability assessment for chemical enterprises: A hybrid of a data envelopment analysis and fuzzy decision-making

This study constructs a composite indicator system for vulnerability assessment based on disaster-causing factors and hazard-bearing bodies involved in chemical safety accidents. In such a context, a hybrid model (D-FDM) is built by combining a data envelopment analysis (DEA) and fuzzy decision-making to take the exposure, sensitivity, and adaptability of chemical enterprises into account. A case example is employed to verify the hybrid model...