2011 | OriginalPaper | Buchkapitel
Obtaining Knowledge in Cases with Incomplete Information
verfasst von : Sylvia Encheva
Erschienen in: Digital Information Processing and Communications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Providing students with timely feedback on their level of concepts understanding, learning and skills mastering is time consuming. One way to resolve this issue is to involve computer based assessment tools. When optional tests are considered educators have to address the problem of incomplete information.
The research described in this paper aims at facilitating the process of drawing conclusions while working with incomplete information. The approach is based on formal concept analysis and six valued logic. The Armstrong axioms are further applied to obtain knowledge in cases with incomplete information.