This paper presents analytical and experimental results on the ranked nodes method (RNM) that is used to construct conditional probability tables for Bayesian networks by expert elicitation. The majority of the results are focused on a setting in which RNM is applied to a child node and parent nodes that all have the same amount discrete ordinal states. The results indicate on RNM properties that can be used to support its future elaboration and development.

翻译：本文件介绍了通过专家引证为巴伊西亚网络建立有条件概率表的按等级排列节点方法(RNM)的分析和实验结果,大部分结果侧重于将RNM应用于儿童节点和父母节点的环境,而儿童节点和家长节点都具有相同数量的离散交点状态,结果显示了RNM的属性,可用于支持其今后的拟订和发展。