With this paper we present a brief overview of selected prominent approaches to rule frameworks and formal rule languages for the representation of and reasoning with uncertain or imprecise knowledge. This work covers selected probabilistic and possibilistic logics, as well as implementations of uncertainty and possibilistic reasoning in rule engine software. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Nickles, M., & Sottara, D. (2009). Approaches to uncertain or imprecise rules - A survey. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5858 LNCS, pp. 323–336). https://doi.org/10.1007/978-3-642-04985-9_30
Mendeley helps you to discover research relevant for your work.