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首页> 外文期刊>ISPRS International Journal of Geo-Information >A GIS-Based Fuzzy Decision Making Model for Seismic Vulnerability Assessment in Areas with Incomplete Data
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A GIS-Based Fuzzy Decision Making Model for Seismic Vulnerability Assessment in Areas with Incomplete Data

机译：基于GIS的不完整地区地震脆弱性评估的模糊决策模型。

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Earthquakes are one of the natural disasters that threaten many lives every year. It is important to estimate seismic damages in advance to be able to reduce future losses. However, seismic vulnerability assessment is a complicated problem, especially in areas with incomplete data, due to incorporated uncertainties. Therefore, it is important to use adequate methods that take into account and handle the associated uncertainties. Although different seismic vulnerability assessment methods at the urban scale have been proposed, the purpose of this research is to introduce a new Geospatial Information System GIS-based model using a modified integration of Analytical Hierarchy Process (AHP), fuzzy sets theory, and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a vector-based environment. The proposed method emphasizes handling one of the important uncertainties in areas with incomplete data, namely the ‘vagueness’ of the existing knowledge about influences of the criteria on seismic vulnerability, which is handled using fuzzy sets theory in this research. The applicability of the proposed method is tested in a municipality district of Tabriz, which is in a near vicinity to the fault system. It can be concluded that the proposed method contributes to a pragmatic and efficient assessment of physical seismic vulnerability under uncertainty, which provides useful information for assisting planners in mitigation and preparation stages in less-studied areas.
机译：地震是每年威胁许多生命的自然灾害之一。预先估算地震破坏以减少未来损失非常重要。但是，由于存在不确定性，地震脆弱性评估是一个复杂的问题，尤其是在数据不完整的地区。因此，重要的是要使用考虑和处理相关不确定性的适当方法。尽管已经提出了城市范围内不同的地震易损性评估方法，但本研究的目的是引入新的基于地理空间信息系统GIS的模型，该模型采用了改进的层次分析法（AHP），模糊集理论和技术集成。在基于矢量的环境中，与理想解决方案（TOPSIS）相似的顺序偏好。所提出的方法强调处理数据不完整区域中的重要不确定性之一，即有关标准对地震脆弱性影响的现有知识的“模糊性”，这是在本研究中使用模糊集理论来处理的。该方法的适用性在靠近故障系统的大不里士市进行了测试。可以得出结论，所提出的方法有助于对不确定性下的物理地震脆弱性进行务实而有效的评估，这为协助计划人员在研究较少的地区进行减灾和准备阶段提供了有用的信息。

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