A Graph-Theoretic Analysis of Information Value

We derive qualitative relationships about the informational relevance of variables in graphical decision models based on a consideration of the topology of the models. Specifically, we identify dominance relations for the expected value of information on chance variables in terms of their position and relationships in influence diagrams. The qualitative relationships can be harnessed to generate nonnumerical procedures for ordering uncertain variables in a decision model by their informational relevance.

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Publisher  Morgan Kaufmann Publishers
All copyrights reserved by Morgan Kaufmann Publishers 1996.

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TypeInproceedings
URLhttp://www.mkp.com/
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