Hierarchical Storage Model and Priority Ranking Method of Rules in Rule-based Reasoning System

被引:1
|
作者
Lai, Yushu [1 ]
Xiong, Yan [2 ]
机构
[1] Chongqing Three Gorges Univ, Dept Elect & Informat Engn, Chongqing 404000, Peoples R China
[2] Chongqing Three Gorges Univ, Sch Mech Engn, Chongqing 404000, Peoples R China
关键词
rule priority ranking; hierarchical fault diagnosis; fuzzy multi-attribute group decision making (FMAGDM); uncertainty reasoning; decision support system;
D O I
10.1080/18756891.2013.869902
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is very difficult to create the fault trees based on components framework for some complex equipment. So a multi-hierarchy diagnosis method based on fault categories is proposed in this paper. The according storage model of rules is designed, and the concept of rule priority is introduced. Then, a rule priority ranking method based on fuzzy multi-attribute group decision making method is proposed. Finally, the uncertainty diagnosis reasoning flow and the credibility transfer algorithm based on the proposed multi-hierarchy diagnosis reasoning method and rule priority ranking method are detailed. The application case and analysis show that the proposed method has a good performance on the aspect of conflict resolution, and can improve diagnosis efficiency markedly.
引用
收藏
页码:676 / 685
页数:10
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