Wang Lei, Jia Baoshan, Su Guorui
College of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China.
Key Laboratory of Mine Thermodynamic Disasters Prevention and Control of Ministry of Education, Huludao Liaoning, 125100, China.
Sci Rep. 2025 May 12;15(1):16462. doi: 10.1038/s41598-025-00266-1.
In order to accurately assess the risk level of coal and gas outbursts, this study proposes an evaluation method based on an improved CUOWGA-weighted TOPSIS model. The primary challenge faced in evaluating the risk of coal and gas outbursts is the subjectivity of the evaluation indicators, which may lead to unreliable outcomes. To address this issue, a coal and gas outburst evaluation indicator system comprising three key factors-geological conditions, coal seam gas content, and the physical properties of coal and rock-was constructed based on an extensive review of the literature. By introducing an innovative fuzzy semantic quantification operator and a normalized decision matrix, the computation process of the CUOWGA operator is optimized to minimize subjective bias and appropriately allocate weights to the evaluation indicators. By combining the optimized CUOWGA method with TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), the risk level of coal and gas outbursts was assessed. A case study conducted at Duanshi Coal Mine demonstrated that the risk level of coal and gas outbursts at this mine is classified as Level II, which is consistent with the actual conditions observed in the mining area. These results validate that the evaluation method based on the ICUOWGA-weighted TOPSIS model can effectively assess the risk level of coal and gas outbursts, thereby proving the feasibility of the approach.
为了准确评估煤与瓦斯突出的风险水平，本研究提出了一种基于改进的CUOWGA加权TOPSIS模型的评价方法。评估煤与瓦斯突出风险时面临的主要挑战是评价指标的主观性，这可能导致结果不可靠。为解决这一问题，在广泛查阅文献的基础上，构建了一个包含地质条件、煤层瓦斯含量和煤岩物理性质三个关键因素的煤与瓦斯突出评价指标体系。通过引入创新的模糊语义量化算子和归一化决策矩阵，对CUOWGA算子的计算过程进行了优化，以最大限度地减少主观偏差，并为评价指标合理分配权重。将优化后的CUOWGA方法与TOPSIS（逼近理想解排序法）相结合，对煤与瓦斯突出的风险水平进行了评估。在段氏煤矿进行的案例研究表明，该煤矿煤与瓦斯突出的风险水平为Ⅱ级，与矿区实际情况相符。这些结果验证了基于ICUOWGA加权TOPSIS模型的评价方法能够有效评估煤与瓦斯突出的风险水平，从而证明了该方法的可行性。
