基于信息熵-变权模糊模型的土石坝震损评估

土石坝震损评估可为震后应急处置和除险加固提供依据，因而对评估方法和结果的可靠性提出更高要求。为了降低层次分析法(AHP)计算指标权重的主观性，并体现出指标严重程度对土石坝震损评估结果的贡献作用，建立信息熵-变权模糊评估模型。首先根据土石坝震害险情研究成果，阐述了土石坝震损评估指标体系及指标分级标准，然后以AHP法确定指标初始权重，再采用信息熵对其修正，同时考虑指标严重程度对权重的影响，引入变权法对修正后的权重进行调整，融合模糊评价法，最后建立信息熵-变权模糊的土石坝震损评估模型。工程实例评估结果表明，该模型有效降低了指标权重的主观性，并突出了不同指标的严重程度对评估结果的影响，使土石坝震损评估结果更加客观准确。

Assessment of seismic damage for earth-rockfill dam based on information entropy-variable weight fuzzy model

The seismic damage assessment of earth-rockfill dams can provide a basis for the post-earthquake emergency disposal and reinforcement, so higher requirements for the reliability of the evaluation methods and evaluation results are put forward. In order to reduce the subjectivity of the index weight calculated by analytic hierarchy process (AHP) and reflect the contribution of the index severity to the seismic damage assessment of the earth-rockfill dam, an information entropy variable weight fuzzy evaluation model is established. First of all, according to the research results of the earth-rockfill dam seismic damage, this paper expounds an seismic damage assessment index system and its classification standard, then AHP is used to determine the initial index weights, and the information entropy is adopted to modify it, and considering the indexes' severity impacts on the weights, a variable weight method is introduced to adjust weights again, and the fusion of the fuzzy evaluation method is made to finally develop a seismic damage assessment model for the earth-rockfill dam based on the information entropy-variable weight fuzzy. The evaluation results of the engineering examples show that this model effectively reduces the subjectivity of the index weight, and highlights the influence of the different indexes' severity on the evaluation results, so that the seismic damage assessment results of the earth-rockfill dams are more objective and accurate.