基于模糊层次分析法-博弈论组合赋权法的区域重大危险源风险评估云模型OA

Current research on the quantification of major hazard source installations primarily focuses on a single dimension—either inherent risk identification or dynamic risk monitoring—lacking a comprehensive eval-uation that integrates both aspects.To address this gap,this study constructed a regional MHI risk indicator sys-tem based on existing identification standards and dynamic monitoring data,aiming to comprehensively reflect the overall major hazard source installations risk levels across different regions.The Fuzzy Analytic Hierarchy Process(FAHP)was employed to determine the weights of primary indicators,effectively addressing the fuzzi-ness of expert evaluations.To overcome the limitations of single weighting methods,a game theory-based com-bined weighting approach,integrating the entropy weight method and the Criteria Importance Through Intercrite-ria Correlation method,was introduced to calculate the weights of secondary indicators.Subsequently,a com-prehensive cloud model for regional major hazard source installations risk evaluation was constructed by incorpo-rating the Technique for Order Preference by Similarity to Ideal Solution.The final risk grades of different re-gions were then determined by calculating the similarities between the cloud models.Furthermore,a case study was conducted on the major hazard source installations across 32 provinces,municipalities,and autonomous re-gions in China.The results identified 7 high-risk regions,13 moderate-risk regions,and 12 low-risk regions.These findings demonstrate that the proposed cloud model,based on the FAHP-game theory combined weighting method,can accurately and effectively assess major hazard source installations risks across various regions,yielding results consistent with actual conditions.Therefore,this study provides reliable data support and a deci-sion-making basis for the differentiated and precise regulation of regional major hazard source installations.