The problem of uncertainty management in systems based on rules can be dealt with using several methodologies. A particularly significant and well-founded one is based on Dempster-Shafer's Theory of Evidence. This methodology is based on the hypothesis that the values of an attribute for a certain object are mutually exclusive. This hypothesis is often too restrictive and the present work proposes a procedure of knowledge acquisition which allows for the application of the D-S theory even in cases where the objects are described, for example, in a linguistically ‘conventional’ manner, where such a constraint would not be satisfied.
Some problems on uncertain knowledge acquisition for rule-based systems
GAGLIO, SALVATORE;PULIAFITO, PIER PAOLO;PAOLUCCI, MASSIMO;
1988-01-01
Abstract
The problem of uncertainty management in systems based on rules can be dealt with using several methodologies. A particularly significant and well-founded one is based on Dempster-Shafer's Theory of Evidence. This methodology is based on the hypothesis that the values of an attribute for a certain object are mutually exclusive. This hypothesis is often too restrictive and the present work proposes a procedure of knowledge acquisition which allows for the application of the D-S theory even in cases where the objects are described, for example, in a linguistically ‘conventional’ manner, where such a constraint would not be satisfied.
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