基于区间模糊贴近度的地铁隧道可靠度评价方法

Reliability evaluation of subway tunnel based on interval-valued fuzzy similarity measure

为了提高地铁隧道可靠度安全评价精度,首先建立由3个一级指标和24个二级指标构成的评价指标体系,并对监测值进行无量纲模糊化处理。其次利用区间模糊熵权法分别确定各级指标权重,并将指标值进行加权融合得到综合等级划分区间值。然后提出区间模糊贴近度计算公式,对监测点数据进行模糊值转化,并计算区间模糊数与综合等级划分值的贴近度。最后利用贴近度排序法对监测点进行可靠度等级评价,所得结果与工程实际相符。

In order to improve the accuracy of safety evaluation of subway tunnel reliability, this paper firstly established an evaluation index system consisting of 3 primary indicators and 24 secondary indicators, and carried out dimensionless fuzzification of the monitoring values. Secondly, the interval fuzzy entropy weighting method was used to determine the index weights at each level separately, and the index values were weighted and fused to obtain the comprehensive grade division interval values. Then the interval fuzzy similarity measure formula was proposed to fuzzify the monitoring point data and calculate the similarity measure between the interval fuzzy number and the comprehensive grade classification value. Finally, the reliability rating of monitoring points was evaluated by using the similarity measure ranking method, and the obtained results are consistent with the engineering reality.