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Springer
A Methodology for Uncertainty in Knowledge-Based Systems
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About this Product
The superiority of consequent probabilistic methods for handling and combining uncertainty in expert systems, compared with well known rules like the Dempster-Shafer rule or the MYCIN rule, is demonstrated, even in the case of interval valued probability estimates.
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