Improving and benchmarking of algorithms for decision making with lower previsions
(2019)
Journal Article
Nakharutai, N., Troffaes, M. C., & Caiado, C. (2019). Improving and benchmarking of algorithms for decision making with lower previsions. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 113, 91-105. https://doi.org/10.1016/j.ijar.2019.06.008
Maximality, interval dominance, and E-admissibility are three well-known criteria for decision making under severe uncertainty using lower previsions. We present a new fast algorithm for nding maximal gambles. We compare its performance to existing a... Read More about Improving and benchmarking of algorithms for decision making with lower previsions.