基于多理论模糊联合法的矿硐安全风险评价

将RSR理论引入矿硐稳定性的风险评估中，选取反熵权法对各指标权重进行计算，对逼近理想解排序法(TOPSIS)、秩和比法(RSR)分别进行加权计算，充分利用两种方法的各自优势，通过模糊联合对评价对象进行综合决策分析，提高评价结果的准确性，构建完整的改进TOPSIS法和RSR法模糊联合风险评价模型，并选取11个隐患点样本进行风险排序，研究结果表明:整体样本一致率达到90.9%，与专家评价结果基本相同，验证了评价模型的可靠性，为解决类似工程提供参考。

Safety risk assessment of mine adit based on multi-theory fuzzy joint method

The RSR theory was introduced into the risk assessment of mine adit stability, the anti-entropy method was selected to calculate the weight of each index, and then the approximate ideal solution ranking method (TOPSIS) and rank sum ratio method (RSR) were calculated respectively. By making full use of the respective advantages of the two methods through fuzzy combination, comprehensive decision analysis was made of the evaluation object and the accuracy was improved of the evaluation results. A complete fuzzy joint risk evaluation model based on improved TOPSIS and RSR methods was constructed, and 11 samples of hidden danger points were selected for risk ranking. Research results show that the overall sample consistency rate is 90.9%, which is basically the same as the expert evaluation results. The reliability of the evaluation model is verified, which provides reference for solving similar projects.