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EARTHQUAKE VULNERABILITY ASSESSMENT FOR HOSPITAL BUILDINGS USING A GIS-BASED GROUP MULTI CRITERIA DECISION MAKING APPROACH: A CASE STUDY OF TEHRAN, IRAN

机译:使用基于GIS的Glour Multi标准决策方法的医院建筑地震脆弱性评估 - 以伊朗德黑兰为例

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摘要

Nowadays, urban areas are threatened by a number of natural hazards such as flood, landslide and earthquake. They can cause huge damages to buildings and human beings which necessitates disaster mitigation and preparation. One of the most important steps in disaster management is to understand all impacts and effects of disaster on urban facilities. Given that hospitals take care of vulnerable people reaction of hospital buildings against earthquake is vital. In this research, the vulnerability of hospital buildings against earthquake is analysed. The vulnerability of buildings is related to a number of criteria including age of building, number of floors, the quality of materials and intensity of the earthquake. Therefore, the problem of seismic vulnerability assessment is a multi-criteria assessment problem and multi criteria decision making methods can be used to address the problem. In this paper a group multi criteria decision making model is applied because using only one expert's judgments can cause biased vulnerability maps. Sugeno integral which is able to take into account the interaction among criteria is employed to assess the vulnerability degree of buildings. Fuzzy capacities which are similar to layer weights in weighted linear averaging operator are calculated using particle swarm optimization. Then, calculated fuzzy capacities are included into the model to compute a vulnerability degree for each hospital.
机译:如今,城市地区受到洪水,滑坡和地震等许多自然灾害的威胁。它们可能对建筑物和人类造成巨大损害,这需要减缓和准备。灾害管理中最重要的步骤是了解灾难对城市设施的所有影响和影响。鉴于医院照顾弱势群体医院建筑对地震的反应至关重要。在这项研究中,分析了医院建筑对地震的脆弱性。建筑物的脆弱性与许多标准有关,包括建筑年龄,地板数量,材料质量和地震强度。因此,地震脆弱性评估的问题是一个多标准评估问题,可以使用多标准决策方法来解决问题。在本文中,应用了组多标准决策模型,因为使用只有一个专家的判断可能会导致偏置漏洞映射。能够考虑标准之间的相互作用的Sugeno积分来评估建筑物的脆弱程度。使用粒子群优化计算类似于加权线性平均操作员中的层重量的模糊容量。然后,计算的模糊容量包含在模型中以计算每个医院的漏洞。

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