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Proceedings Paper

Reasoning Under Uncertainty With Dependency Information
Author(s): Youssef A. Bazzi; Brian T. Mitchell
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Paper Abstract

Current techniques for dealing with uncertainty in expert systems do not adequately handle dependency information. In fact, most schemes make routine independence assumptions. These assumptions lead to serious questions as to the validity of the conclusions reached by systems which employ such schemes. This paper introduces a technique for reasoning with dependency information in expert systems that acquire probabilistic evidence. This technique relies on a modified version of Dempster-Shafer Theory. In particular, a new support function and updating scheme are used. Examples of several different types of situations are given to show that this modified technique deals with dependency in both an intuitive and reasonable way.

Paper Details

Date Published: 5 January 1989
PDF: 6 pages
Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); doi: 10.1117/12.948930
Show Author Affiliations
Youssef A. Bazzi, Wayne State University (United States)
Brian T. Mitchell, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 1003:
Sensor Fusion: Spatial Reasoning and Scene Interpretation
Paul S. Schenker, Editor(s)

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