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基于直觉模糊集TOPSIS决策方法的滑坡稳定性评价 被引量:7

Research of landslide stability assessment based on intuitionistic fuzzy sets TOPSIS multiple attribute decision making method
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摘要 为了更好地刻画滑坡稳定性影响因子的模糊不确定性,引入直觉模糊集理论,开展离子型稀土矿区滑坡稳定性评价方法及应用研究。以赣南稀土原地浸矿区为例,根据其特有的采矿及地质条件,构建了滑坡稳定性分级及指标评价体系。采用三角形直觉模糊数概念,构建了评价指标的隶属度和非隶属度函数,基于TOPSIS决策方法,建立了滑坡稳定性分级评价模型。通过实例应用、参数敏感性检验及方法对比分析表明,该模型在评价过程中,原始信息损失较少,评价结果更为合理可靠,可为稀土矿区的滑坡灾害预测提供重要理论依据。 In order to better characterize the fuzzy uncertainty of the influence factors of landslide hazard,based on intuitionistic fuzzy sets,the method and application research of landslide hazard assessment has been done in the ionic rare earth mining area. According to the special mining and geological conditions of in-situ leaching of rare earth in southern Jiangxi Province,a set of index system and classification system used for evaluation of landslide hazard was put forwarded. The membership and nonmembership function were put forwarded by using triangular intuitionistic fuzzy number concept. A model for evaluating the landslide hazard was established based on the TOPSIS multiple attribute decision making. Simulation,sensitivity testing and contrastive analysis showed that little of the information is lost in the evaluation process by using this method,and the evaluation results are more reasonable and reliable. This method could provide important theoretical references for landslide hazard prediction in rare earth mining area
作者 何书 陈飞 HE Shu CHEN Fei(Jiangxi University of Science and Technology,School Resources Environmental Engineering, Ganzhou, Jiangxi 341000, China Jiangxi Key Laboratory of High Efficient Utilization of Rare Earth Resources, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China)
出处 《中国地质灾害与防治学报》 CSCD 2016年第3期22-28,共7页 The Chinese Journal of Geological Hazard and Control
基金 国家自然科学基金项目(51364012) 江西理工大学科学基金项目资助(NSFJ2015-G01) 江西省矿业工程高水平学科经费资助(3304000002)
关键词 直觉模糊集 TOPSIS 多属性决策 稳定性评价 稀土矿区 intuitionistic fuzzy sets TOPSIS multiple attribute decision making assessment of stability rare earth mining area
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