Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Inference Processes in Decision Support Systems with Incomplete Knowledge
verfasst von : Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezińska, Tomasz Jach
Erschienen in: Rough Sets and Knowledge Technology
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
Authors propose a new approach in the optimization of inference processes in decision support systems with incomplete knowledge. The idea is based on clustering large set of rules from knowledge bases as long as it is necessary to find a relevant rule as quickly as possible. This work is highly focused on the results of experiments regarding the influence of Agnes’ algorithm parameters on the quality of the clustering process. Additionally, the authors present the results of the experiments regarding the optimal amount of groups formed by decision rules.