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