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The representation and manipulation of uncertainty are the key characteristics of evidential reasoning systems. The Bayesian probabilistic method has traditionally been used for this purpose. Despite its comparatively ancient origin, however, some particular aspects of the theory are not as well developed as competing methods of handling uncertainty, and some are rather weak.We look at two developments...
One approach to approximate reasoning is to make use of results arising from research in evidence theory. In this theory, evidence is represented by evidential functions, and the reasoning is conducted by evidential operations on them. Our objective in this paper is to contribute to the understanding of these evidential operations.We discuss some basic operations on evidential functions: the orthogonal...
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