基于博弈论和云模型的滑坡危险性评价.

Aiming at the uncertainty in the process of landslide hazard evaluation along the railway, game theory and cloud model evaluation methods were introduced, and Hamming distance was used to verify the similarity comparison results to evaluate the landslide hazard along the railway. Firstly, 12 influencing factors such as rainfall, stratigraphic lithology and land use type were selected to establish the risk evaluation index system. Secondly, the improved CRITIC method, coefficient of variation method, G1 method and order diagram method were adopted to determine the basic weight. Then the game theory is introduced to calculate the optimal weight, and the comprehensive evaluation cloud is determined according to the cloud model and the optimal weight of each evaluation index. Finally, the Hamming distance is used to verify the similarity comparison results of the comprehensive evaluation cloud and the evaluation standard cloud, and the landslide risk grade is determined according to the maximum similarity principle, and the landslide risk distribution map of the study area is generated based on ArcGIS. The results show that the landslide hazard grade is level four, which is basically consistent with the actual situation. The landslide hazard evaluation model based on game theory and cloud model can accurately reflect the grade of landslide. The cloud model is used to realize the conversion of qualitative and quantitative problems, which makes the landslide hazard level more intuitive and has certain reference value for landslide hazard risk management. [ABSTRACT FROM AUTHOR]