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Proceedings Paper

Multiple source distributed information fusion based on multiagent system
Author(s): Zuxun Xia
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Paper Abstract

In the multi-node distributed decision system under some conditions there are a few or none permitted information exchange between the nodes, this makes the information fusion and final decision difficult. If one node looks as an agent, it has some other node's historical experiences or knowledge for resolving problems and stored in additional case bases, it can uses case based reasoning (CBR) and transposition reasoning to obtain the possible viewpoints or decisions of those nodes and then makes information fusion by itself, so may reduce the subjectivism which is weakness of pure transposition reasoning.

Paper Details

Date Published: 6 March 2002
PDF: 8 pages
Proc. SPIE 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI, (6 March 2002); doi: 10.1117/12.458394
Show Author Affiliations
Zuxun Xia, East China Shipbuilding Institute (China)


Published in SPIE Proceedings Vol. 4731:
Sensor Fusion: Architectures, Algorithms, and Applications VI
Belur V. Dasarathy, Editor(s)

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