联系数在因果图中的应用  

Application of Binary Connection Number in Causality Diagram

作　　者：吴成姚 WU Chengyao(School of Mathematics,Chongqing Normal University,Chongqing 401331,China)

机构地区：[1]重庆师范大学数学科学学院,重庆401331

出　　处：《湖北民族学院学报（自然科学版）》2019年第1期74-76,共3页Journal of Hubei Minzu University(Natural Science Edition)

基　　金：国家社会科学基金项目(13BTJ008)

摘　　要：因果图推理是基于概率论的知识表达,在实际工程中,针对其复杂性、数据缺乏等不确定性问题,提出二元联系数的区间因果图故障诊断方法,根据区间数的误差分布形式,使区间数与联系数相互转换,可客观地反映区间数因果图的不确定性.由实例表明,该方法可行、有效.因此把二元联系数应用于因果图理论中,从而对不确定性进行较全面的取值分析,使事件发生概率的结果更为合理.Causality diagram inference is knowledge representation based on probability theory.In practical engineering,aiming at the uncertainties such as complexity and lack of data,a fault diagnosis method of interval causality diagram with binary connection number is proposed.According to the error distribution form of interval number,the interval number and connection number can be transformed to each other,which can objectively reflect the uncertainty of interval number causality diagram.The example shows that the method is feasible and effective.Therefore,the binary connection number is applied to the causal graph theory so as to make a more comprehensive value analysis of uncertainty,and the result of event occurrence probability is more reasonable.

关 键 词：因果图 二元联系数 不确定性分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]