Study on Extenics Information Fusion Method and It’s Application

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Li Zhong 1,* Wang Ailing 1 Qi Furong 1

1. Institute of Disaster Prevention Science and Technology. Sanhe, Hebei. China

* Corresponding author.


Received: 4 Jan. 2011 / Revised: 17 Feb. 2011 / Accepted: 12 Mar. 2011 / Published: 8 Apr. 2011

Index Terms

Extenics-fusion, D-S evidential reasoning, MEF, BPA


This paper makes analysis on theories of D-S evidential reasoning, rough sets, and extenic sets; and indicates that there are some similarities among the three theories in defining uncertainty sets. Therefore, it’s feasible to introduce relevant theories and methods of extenics into information fusion and a method of extenics fusion (MEF) is presented as well. The method combines extenic correlation function with Dempster rule and is considered a good solution for problems of evidence collision and BPA function in information fusion method based on D-S evidential reasoning. The simulation test shows that MEF is better than the traditional D-S evidential reasoning and is applicable to assess all kinds of problems. Using the method of this paper to evaluate surface water in one area of Northern China, the results were consistent with the fact.

Cite This Paper

Li Zhong, Wang Ailing, Qi Furong, "Study on Extenics Information Fusion Method and It’s Application", International Journal of Modern Education and Computer Science(IJMECS), vol.3, no.2, pp.29-36, 2011. DOI:10.5815/ijmecs.2011.02.06


[1]Wu Xiaoping, Ye Qing, Liu Lingyan. “Dempster-Shafer Theory of Evidence Based on Improved BP and Its Application”. Journal of Wuhan University of Technology. vol. 29, PP. 158-161, May 2007.(in Chinese)
[2]Zhong Lu-hong, Wu Wen, Li Xingguo,et al. “Research on Fuzzy Infomation Fusion of Multi-sensor Detecting Systems”. Journa l of Detection & Control. vol.2, PP. 42-45, February 2003. (in Chinese)
[3]Salzenstein F, Boudraa A O. “Unsupervised multisensor data fusion approach[C], International Symposium on Signal Processing and its Applications”, Kuala Lumpur, Malaysia, pp.152-154. August 2001.
[4]Zhang Qi, Gu Weikang Liu Jilin. “Vision Informayion Fusion Based on Dempster-Shafer Evidence Inference Theory in ALV”. Chinese J Computers. vol. 22. pp. 193-198. February 1999 (in Chinese)
[5]Sun Quan, Ye Xiuqing, Gu Weikang. “A New Combination Rule s of Evidence Theory”. ACTA ELECTRONICA SINICA. Vol. 28. pp. 117-120. August 2000
[6]Cai Wen, Yang Chunyan, Lin Weichu. “Extenics Engeering Methods”. Bei Jing:Science Press. 2000. (in Chinese)
[7]Lawrence A. Klein. “Theory on Fuzzy Information Fusion of Multi- sensor and Its Application”. Bei Jing: Beijing Institute of Technology Press.2004 (in Chinese)
[8]Lin Z G, Xu L Z, Huang F C, et al. “Multi-Source Monitoring Data Fusion and Assessment Model on Water Environment”. Proceedings of the 3rd International Conference on Machine Learning and Cyber- netics, Shanghai, pp. 26-29. August 2004
[9]The People's Republic of China National Standards: Surface Water Quality Standards(GB3838-2002) (in Chinese)