直觉模糊集TOPSIS在边坡地震稳定性评价中的应用

发布时间：2018-03-30 19:25

  本文选题：边坡　切入点：地震稳定性　出处：《中国安全科学学报》2017年06期

【摘要】：为准确评价岩土边坡地震稳定性,建立基于直觉模糊集逼近理想解排序(TOPSIS)法的边坡地震稳定性评价模型。首先综合考虑定量与定性指标,选取岩土体特征、新构造运动特性、坡高、坡角、年降水量、场地地震烈度等6个因素为边坡地震稳定性评价指标;然后针对定性指标与指标权重的模糊性,利用直觉模糊集对其进行表示,并结合TOPSIS构建边坡地震稳定性评价模型;最后利用模型对16处边坡地震稳定性进行评价,结果与实际相符。研究结果表明:基于直觉模糊集TOPSIS法的岩土边坡地震稳定性评价模型可用来处理指标权重和定性指标的模糊性,与突变级数法、属性数学、灰色聚类法、综合指标法、模糊因素法等方法相比,用其得到的评价结果更准确。
[Abstract]:In order to evaluate the seismic stability of rock and soil slope accurately, a slope seismic stability evaluation model based on intuitionistic fuzzy set approximation ideal solution ranking method is established. Firstly, considering the quantitative and qualitative indexes, the characteristics of rock and soil mass and the characteristics of neotectonic movement are selected. Six factors, such as slope height, slope angle, annual precipitation and site seismic intensity, are the evaluation indexes of slope seismic stability, and then, aiming at the fuzziness of qualitative indexes and index weights, the intuitionistic fuzzy sets are used to express them. Finally, the seismic stability of 16 slopes is evaluated by using the model. The results show that the seismic stability evaluation model based on intuitionistic fuzzy set TOPSIS method can be used to deal with the fuzziness of index weight and qualitative index, and it can be used to deal with the sudden change series method, attribute mathematics, grey clustering method. Compared with the synthetic index method and fuzzy factor method, the evaluation results obtained by the method are more accurate.
【作者单位】： 东华理工大学江西省数字国土重点实验室;东华理工大学地球科学学院;
【基金】：东华理工大学江西省数字国土重点实验室开放研究基金资助(DLLJ201706);东华理工大学博士科研启动基金资助(DHBK2016125)
【分类号】：P315.9;TU435
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本文编号：1687306