A methodology for uncertainty in knowledge-based systems
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 cor...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Lecture notes in computer science. Lecture notes in artificial intelligence
419 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A Methodology for uncertainty in knowledge-based systems, Kurt Weichselberger, Sigrid Pöhlmann, 1990, Berlin, Springer-Verlag, 1 vol. (132 p.), Lecture notes in computer science, 0-387-52336-7 • A Methodology for Uncertainty in Knowledge-Based Systems, Texte imprimé, 9783662170854 |
Taula de continguts:
- The aims of this study
- Interval estimation of probabilities
- Related theories
- The simplest case of a diagnostic system
- Generalizations
- Interval estimation of probabilities in diagnostic systems
- A demonstration of the use of interval estimation.