摘要
在瓦斯监测系统中,检测量会受到井下不确定因素的干扰而产生冲突信息。因此,提出一种改进的加权平均法,运用D-S证据理论合成正常的信息,而加权平均法处理高冲突证据。通过计算证据集的相对证据距离,求得基于证据间支持度的权值,并用专家权重进行修正,获得最终各加权证据的权值。试验仿真结果表明,该方法能够合成高度冲突的证据,且最终合成结果具有良好的收敛性。
Since the gas detecting volume is disturbed by underground uncertainties, the gas monitoring system generates conflicting information. Thus, the paper proposed a kind of improved weighted average method. D-S evidence theory was applied to integrate normal information and the weighted average method to handle high conflicting evidence. After the relative evidence distance of the evidence set being calculated, the weight based on support degree between evidences was obtained and then corrected with expert weight, so as to obtain the weights of all weighted evidences. Simulation results showed that the method integrated highly conflicting evidences with excellent convergence of final integration.
出处
《矿山机械》
北大核心
2014年第11期115-119,共5页
Mining & Processing Equipment
基金
江西省教育厅科学技术研究项目(GJJ13398)
江西省研究生创新专项资金资助项目(YC2013-S195)
关键词
证据理论
冲突证据
加权平均法
权值
evidence theory
conflicting evidence
weighted average method
weight
