Long mean fault isolation time (MFIT) and being incapable of quickly automatic building of FI decision-making tree are the disadvantages of existing methods.
大型复杂系统的故障隔离是系统维修的重要环节，现有的故障隔离算法存在平均故障隔离时间（MFIT）长，不能快速自动生成决策树等缺点。
Then based on relationship analysis, the gray decision-making tree method is proposed, and its decision-making steps are presented in detail.
然后基于关联分析，提出了灰色决策树的模型，并给出了其决策的详细步骤。
The decision-making tree is categorized in layers and embedded into the database.
决策树分层分类并嵌入数据库。
The decision-making tree is categorized in layers and embedded into the database.
决策树分层分类并嵌入数据库。
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