DocumentCode :
3210833
Title :
A new evidence fusion approach for decision of proactive service
Author :
Zhang, De-Gan ; Li, Chao ; Li, Wei-Wei ; Chen, Xu-Yan
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ. of Technol., Tianjin, China
Volume :
2
fYear :
2010
fDate :
13-14 Sept. 2010
Firstpage :
9
Lastpage :
12
Abstract :
Multi-source heterogeneous information fusion is an extremely challenging problem because of the complex and highly irregular nature of environment. We consider decision fusion problem in the presence of m-dependent evidences in this paper. A new evidence fusion approach for decision of proactive service has introduced, which is extending of Class D-S Evidence method. We applied this approach in our active space project for seamless nomadic service of pervasive computing paradigm, good results have been attained. The validity of approach of this paper has been tested.
Keywords :
distributed decision making; sensor fusion; ubiquitous computing; class D-S evidence method; decision fusion problem; evidence fusion approach; m-dependent evidence; multisource heterogeneous information fusion; pervasive computing; proactive service; Decision making; Image sensors; Noise; Sensor fusion; Sensor phenomena and characterization; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
Type :
conf
DOI :
10.1109/CINC.2010.5643802
Filename :
5643802
Link To Document :
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