Continuous Belief Functions for Evidential Reasoning
نویسنده
چکیده
Some recently developed expert systems have used the ShaferDempster 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 ShaferDempster theory is limited by the lack of an effective approach for dealing with beliefs about continuous variables. This paper introduces a uew representation of belief for continuous variables that provides both a conceptual framework and a computationally tractable implementation within the Shafer-Dempster theory.
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