International Journal of Computational Intelligence Systems

Volume 7, Issue 4, August 2014, Pages 676 - 685

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

Authors
Yushu Lai, Yan Xiong
Corresponding Author
Yushu Lai
Available Online 1 August 2014.
DOI
https://doi.org/10.1080/18756891.2013.869902How to use a DOI?
Keywords
rule priority ranking, hierarchical fault diagnosis, fuzzy multi-attribute group decision making (FMAGDM), uncertainty reasoning, decision support system
Abstract
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 4
Pages
676 - 685
Publication Date
2014/08
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.869902How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Yushu Lai
AU  - Yan Xiong
PY  - 2014
DA  - 2014/08
TI  - Hierarchical Storage Model and Priority Ranking Method of Rules in Rule-based Reasoning System
JO  - International Journal of Computational Intelligence Systems
SP  - 676
EP  - 685
VL  - 7
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.869902
DO  - https://doi.org/10.1080/18756891.2013.869902
ID  - Lai2014
ER  -