Abstract
According to the theory of Bayesian rough set and evidence theory, a method of decision information fusion under incomplete decision information system is proposed. Under incomplete decision information system, the evidences are obtained based on the limited tolerance relation and the support degree. Firstly, by using the method of limited tolerance relation and Bayesian rough set, the lower distribution sets of the decision classes are obtained, the classified quality is calculated, and the support degrees of condition attributes to decision classes are obtained on the basis of the above. Finally, the evidences are fused by the improved combination rule, and the new object is classified based on the fusion result. The proposed method is applied to the diagnosis of problems of the equipment fault in order to ultimately prove the effectiveness of this method.
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Acknowledgments
This research has been supported by the National Natural Science Foundation of China (Grant No. 71271034), the Fundamental Research Funds for the Central Universities (Grant No. 3132014307, Grant No. 3132014080), the General Project of Liaoning Provincial Education Department (Grant No. L2012173), and the Liaoning Academy of Social Science Fund Project (Grant No. L13DGL060).
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Yang, Z., Yu, W., Chen, Y., Li, T. (2015). Decision Analysis Method Based on Improved Bayesian Rough Set and Evidence Theory Under Incomplete Decision System. In: Wong, W. (eds) Proceedings of the 4th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-11104-9_44
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DOI: https://doi.org/10.1007/978-3-319-11104-9_44
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11103-2
Online ISBN: 978-3-319-11104-9
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