通过社会网络分析,运用模糊逻辑评价应急队伍的协调能力

M. Es-haghi, S. Bastani
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引用次数: 1

摘要

除非应急小组的成员做好准备,否则应急管理将无法实现其目标。实现充分的准备需要所有团队成员之间的有效协调。本研究旨在运用模糊法与社会网络分析法,对应急管理准备中最重要的阶段——协调水平进行评价。利用社会网络分析的密度指标和标准问卷的结果,采用模糊评价法进行协调性评价。利用密度指标来评价通过信任和信息交换措施协调的凝聚力。此外,还采用了一份标准问卷来评估成员参与与应急管理有关的问题的情况。研究结果表明,整个团队成员之间的协调水平较低,在面对紧急情况时的协调程度略有相关。最后,本文认为有必要转变为一种预测方法,以便通过创造性的规划和规划提供适当的关系,以增加协调,从而实现理想的应急管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating coordination in emergency response team by using fuzzy logic through social network analysis
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.
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