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Evaluating coordination in emergency response team by using fuzzy logic through social network analysis

机译:通过社交网络分析使用模糊逻辑评估应急响应团队的协调

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Emergency management will not achieve in its goals unless it prepares members in the emergency response team. Achievement of sufficient preparedness requires effective coordination among all team members. This study aimed to use the fuzzy approach and social network analysis for the evaluation of the coordination level as the most important stage in preparedness of emergency management. The evaluation of coordination with fuzzy approach was conducted by using the findings of density indicator of social network analysis and a standard questionnaire. The density indicator was used in order to evaluate the cohesion of coordination through trust and information interchange measures. Also, a standard questionnaire was applied to evaluate the involvement of members in issues related to emergency management. The findings showed that there was a low level of coordination among the whole team members and slightly related to be coordinated for confronting emergencies. Finally, this article argues that it is necessary to turn into a predictive approach in order to provide a suitable relationship for increasing coordination through creative planning and programming in order to have an ideal emergency management.
机译:除非它在应急响应小组中筹备成员,否则应急管理将无法实现其目标。成就充分准备需要在所有团队成员之间进行有效的协调。本研究旨在利用模糊方法和社会网络分析,以评估协调水平作为紧急管理准备中最重要的阶段。通过使用社会网络分析密度指标和标准问卷的调查结果进行了与模糊方法的协调评价。使用密度指示器以通过信任和信息交换措施评估协调的凝聚力。此外,申请了标准问卷,以评估成员参与与应急管理有关的问题。这些调查结果表明,整个团队成员之间的协调水平低,与面对紧急情况有略微相关。最后,本文认为,有必要转向预测方法,以便通过创造性的规划和编程增加协调,以便具有理想的应急管理。

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