Articles liés à A Methodology for Uncertainty in Knowledge-Based Systems

A Methodology for Uncertainty in Knowledge-Based Systems - Couverture souple

Weichselberger, Kurt; Pöhlmann, Sigrid

 
9783540523369: A Methodology for Uncertainty in Knowledge-Based Systems

Synopsis

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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À propos de la quatrième de couverture

In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.