Chen Guo
Software Technology Institute, Dalian Jiaotong University, Dalian, China
Ming Huang
Software Technology Institute, Dalian Jiaotong University, Dalian, China
Xu Liang
Software Technology Institute, Dalian Jiaotong University, Dalian, China
ABSTRACT
Based on the rule chains, this study proposes a kind of reasoning network model. This model keeps track and correction to the uncertainty network caused by external evidence. On the basis of existing initial network built by rule base has been established, this model added corrective networks which include external evidence and made probability calculation again for the rule chains which influenced by external evidence. It makes sure the veracity in the uncertainty reasoning process. From the instance analysis we can see that the tracking result met the expectation, concluded the correct rule chains, accurately found the object assertion and gave out the correct reasoning result. It optimized the choosing decision-making function of expert system.
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How to cite this article
Chen Guo, Ming Huang and Xu Liang, 2013. Uncertainty Reasoning Research Based on the Expert System of Reasoning Network
Model. Information Technology Journal, 12: 7024-7028.
DOI: 10.3923/itj.2013.7024.7028
URL: https://scialert.net/abstract/?doi=itj.2013.7024.7028
DOI: 10.3923/itj.2013.7024.7028
URL: https://scialert.net/abstract/?doi=itj.2013.7024.7028
REFERENCES
- Yang, X., D.Q. Zhu and Q.B. Sang, 2007. Research and prospect of expert system. Appl. Res. Comput., 24: 4-9.
Direct Link - Zhang, J., Y. Zhu, Z. Yang and X. Ji, 2002. An Object-oriented knowledge representation method for Order-sheet reasoning of substations. Electric Power Automation Equipment, 22: 63-65,81.
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