Continuous Belief Functions for Evidential Reasoning

Some recently developed expert systems have used the Shafer-Dempster theory for reasoning from multiple bodies of evidence. Many expert-system applications require belief to be specified over arbitrary ranges of scalar variables, such as time, distance or sensor measurements. The utility of the existing Shafer- Dempster theory is limited by the lack of an effective approach for dealing with beliefs about continuous variables. This paper introduces a new representation of belief for continuous variables that provides both a conceptual framework and a computationally tractable implementation within the Shafer-Dempster theory.

Authors

• Thomas M. Strat

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