中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (6): 145-150.doi: 10.16265/j.cnki.issn1003-3033.2017.06.025

• 安全工程技术科学 • 上一篇    下一篇

直觉模糊集TOPSIS在边坡地震稳定性评价中的应用

邬书良1,2 讲师, 霍亮2, 严荣富2   

  1. 1 东华理工大学 江西省数字国土重点实验室,江西 南昌 330013
    2 东华理工大学 地球科学学院,江西 南昌 330013
  • 收稿日期:2017-02-17 修回日期:2017-04-25 发布日期:2020-10-16
  • 作者简介:邬书良 (1989—),男,江西南昌人,博士,讲师,主要从事矿业系统工程研究。E-mail:wushuliang@ecit.cn。
  • 基金资助:
    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)。

Application of intuitionistic fuzzy set TOPSIS to evaluation of seismic stability of slopes

WU Shuliang1,2, HUO Liang2, YAN Rongfu2   

  1. 1 Key Laboratory for Digital Land and Resources of Jiangxi Province,East China University of Technology, Nanchang Jiangxi 330013, China
    2 School of Earth Sciences, East China University of Technology, Nanchang Jiangxi 330013, China
  • Received:2017-02-17 Revised:2017-04-25 Published:2020-10-16

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。

关键词: 边坡, 地震稳定性, 直觉模糊集, 犹豫度, 逼近理想解排序(TOPSIS)

Abstract: In order to evaluate seismic stability of rock and soil slopes correctly, based on the intuitionistic fuzzy set TOPSIS, an evaluation model for seismic stability of slopes was built. By comprehensive consideration of qualitative and quantitative indicators, six indexes were identified, including the characteristics of the geotechnical body, the characteristics of the neotectonics, slope height, slope angle, the annual average precipitation, and site seismic intensity. For the fuzziness of qualitative indicators and index weights, intuitionistic fuzzy sets were used to represent them. A seismic stability evaluation model of slope was built based on TOPSIS. The model was used to evaluate the seismic stability of 16 slopes. The evaluation results conform with the actual situation. The results show that the evaluation model of seismic stability of rock slope based on intuitionistic fuzzy set TOPSIS can be used to deal with the fuzziness of weights of indexes and qualitative indexes, and evaluation results obtained by using the model are more accurate than those by the catastrophe progression method, the attribute mathematical theory, the grey clustering method, the comprehensive index method, and the fuzzy factors method.

Key words: slopes, seismic stability, intuitionistic fuzzy set, hesitancy degrees, technique for order preference by similarity to ideal solution(TOPSIS)

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