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Dempster-Shafer Evidence Theory of Information Fusion Based on Infoevolutionary Value for E-business with Continuous Improvement
Beijing, China October 12-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2005.48IEEE International Conference on e-Bu ...
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Zhiling Yu, Harbin Institute of Technology
Yezhuang Tian, Harbin Institute of Technology
Bao Xi, Harbin Institute of Technology

Continuous improvement is the typical field of ebusiness information fusion in terms of multi-source data. This research proposes a hybrid Dampster- Shafer method with entropy and information value coevolutionary for desegregation data. The result shows, the modified theory is a multi-criteria decision tool for information fusion in decreasing the information uncertainty effectively, which can advance the ebusiness performance of continuous improvement process and quality control.

Citation:
Zhiling Yu, Yezhuang Tian, Bao Xi, "Dempster-Shafer Evidence Theory of Information Fusion Based on Infoevolutionary Value for E-business with Continuous Improvement," icebe, pp.586-590, IEEE International Conference on e-Business Engineering (ICEBE'05), 2005
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