We introduce a framework which is based on probabilistic Description logics (Prob-DL), to represent and solve multi-criteria discrete alternative problems by calculating expected utility. To our knowledge, this is the first ever approach for calculating expected utility using a Description logics based formalism.
Acar, E. (2014). Computing Subjective Expected Utility using Probabilistic Description Logics. In Frontiers in Artificial Intelligence and Applications (Vol. 264, pp. 21–30). IOS Press. https://doi.org/10.3233/978-1-61499-421-3-21