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机构地区:[1]河海大学商学院,江苏南京210098 [2]河海大学水利水电工程学院,江苏南京210098 [3]珠江水利科学研究院,广东广州510611
出 处:《水电能源科学》2009年第1期106-108,共3页Water Resources and Power
基 金:国家自然科学基金资助重点项目(50809025;50539010);国家科技支撑计划基金资助项目(2006BAC14B03)
摘 要:基于碾压混凝土坝变形监测的模糊性和单项指标评价结果的不确定性,在运用模糊物元的基础上结合欧氏贴近度概念建立了碾压混凝土坝变形监测的模糊物元模型,并应用信息熵反映数据本身的效用值计算指标的权重系数,避免了权重分配困难和主观判断碾压混凝土坝变形监测的不确定性。实例表明,运用熵权模糊物元模型分析碾压混凝土坝变形状况所得结果与实际情况相符,验证了该方法的有效性。Based on the fuzzy character of the RCC dam deformation monitoring and the uncertainty of the results of the individual targets evaluation, on the basis of the coefficient of entropy and matter-element analysis, combining the concept of the European degrees closer, the coefficient of entropy and fuzzy matter-element model of the RCC dam deformation monitoring is established, and is calculated the weight factor of the targets with the effectiveness value of the date itself which reflected in the information entropy, that made it avoid the difficulty in the weight factor distribution and the uncertainty of the RCC dam deformation monitoring. Examples show that the result of the analyzing the RCC dam deformation conditions with use of the coefficient of entropy and fuzzy matter-element model matches the actual situation, which verifies the effectiveness of this method.
分 类 号:TV698.11[水利工程—水利水电工程]
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