Study on the coal mine safety assessment based on rough set - neural network - evidence theory

摘要

The safe reliability assessment of coal mine safety system is a multifactor overall merit problem. In this paper, we firstly introduced the principle and method of coal mine safety assessment based on rough set - neural network - evidence theory. Secondly, we used rough set method to carry out the pretreatment of information. Thirdly, according to the information structure after treatment, we formed the information processing system of rough set - neural network - evidence theory. Finally, we carried out the analysis of fusion result. In conclusion, we applied rough set, neural network, D-S evidence theory to the processing of safe mass monitoring data, which can reduce the uncertainty in the process of data processing. It provides us an effective basis and method to know the security situation and the development trend, and to analyze the cause and the harm of the coal mine accident.