Approaches to Uncertain or Imprecise Rules - A Survey

Authors:
Matthias Nickles;Davide Sottara
Affiliations:
Department of Computer Science, University of Bath, Bath, United Kingdom BA2 7AY;DEIS, Facolta di Ingegneria, Universita di Bologna, Bologna, Italy
Venue:
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Year:
2009

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Abstract

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.