In order to prevent and control environmental mass incidents,by comprehensively using literature research,case analysis and logical reasoning method,27 factors influencing environmental mass incidents were selected. A...In order to prevent and control environmental mass incidents,by comprehensively using literature research,case analysis and logical reasoning method,27 factors influencing environmental mass incidents were selected. Among them,15 key influencing factors were screened by Delphi-PCA-frequency analysis composite method. The key influencing factors were analyzed,and corresponding countermeasures were put forward.展开更多
To effectively address the complexity of the environment,information uncertainty,and variability among decision-makers in the event of an enterprise emergency,a multi-granularity binary semantic-based emergency decisi...To effectively address the complexity of the environment,information uncertainty,and variability among decision-makers in the event of an enterprise emergency,a multi-granularity binary semantic-based emergency decision-making method is proposed.Decision-makers use preferred multi-granularity non-uniform linguistic scales combined with binary semantics to represent the evaluation information of key influencing factors.Secondly,the weights were determined based on the proposed method.Finally,the proposed method’s effectiveness is validated using a case study of a fire incident in a chemical company.展开更多
基金Supported by the National Natural Science Foundation of China(41001338)Key Projects of Henan Colleges and Universities(15A610012)
文摘In order to prevent and control environmental mass incidents,by comprehensively using literature research,case analysis and logical reasoning method,27 factors influencing environmental mass incidents were selected. Among them,15 key influencing factors were screened by Delphi-PCA-frequency analysis composite method. The key influencing factors were analyzed,and corresponding countermeasures were put forward.
文摘To effectively address the complexity of the environment,information uncertainty,and variability among decision-makers in the event of an enterprise emergency,a multi-granularity binary semantic-based emergency decision-making method is proposed.Decision-makers use preferred multi-granularity non-uniform linguistic scales combined with binary semantics to represent the evaluation information of key influencing factors.Secondly,the weights were determined based on the proposed method.Finally,the proposed method’s effectiveness is validated using a case study of a fire incident in a chemical company.
