工矿自动化2011，Vol.37Issue(11)：38-40,3.DOI:32-1627/TP.20111102.1601.012
基于粗糙集和D-S证据理论的井下风险评估方法
Underground Risk Assessing Method Based on Rough Set and D-S Evidence Theory
李博 1黄圆月1
作者信息
- 1. 中煤科工集团煤炭科学研究总院,北京 100013
- 折叠
摘要
Abstract
For problem of difficult obtainment of abundance, comprehensive and accurate environmental information when data from a single sensor is as basis of underground safety assessment, an underground risk assessing method based on rough sets and D-S evidence theory was proposed, and analysis of specific example was given. The method makes first data fusion based on rough set and secondary data fusion based on D-S evidence theory to fuse data collected by multi-sensor, achieves integration of a variety of underground information, and optimizes existing risk assessment methods. Tests showed that the method can guarantee completeness and independence of forecasting information and realize dynamic prediction of mine safety trend.关键词
矿井/风险评估/多传感器信息融合/粗糙集/D-S证据理论Key words
mine/risk assessment/information fusion of multi-sensor/rough set/D-S evidence theory分类
矿业与冶金引用本文复制引用
李博,黄圆月..基于粗糙集和D-S证据理论的井下风险评估方法[J].工矿自动化,2011,37(11):38-40,3.
