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Proceedings Paper

Evidential Integration In A Multi-Sensor System With Dependency Information
Author(s): Youssef A. Bazzi; Brian T. Mitchell
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Paper Abstract

Several methods for combining uncertain evidences in a multi-sensor system have been developed in the literature. Most of these methods make routine assumptions on the type of relation between these evidences, that is the evidences are independent. This assumption leads to serious questions as to the validity of the conclusions reached by systems which employ such schemes. This paper presents a technique for reasoning with dependency information in expert systems that acquire probabilistic evidence. Three types of depndency relations have been considered. The proposed technique is suitable for computerization, and results in a more certain hypothesis value when applied to distributed sensor system and to terminal reliability in computer communication networks.

Paper Details

Date Published: 1 March 1990
PDF: 9 pages
Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); doi: 10.1117/12.969976
Show Author Affiliations
Youssef A. Bazzi, Wyane State University (United States)
Brian T. Mitchell, Environmental Research Institute of Michigan (United States)

Published in SPIE Proceedings Vol. 1198:
Sensor Fusion II: Human and Machine Strategies
Paul S. Schenker, Editor(s)

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