Decideit 3.0: Software for Second-Order Based Decision Evaluations

Abstract

In this paper, we discuss representation and evaluation in the DecideIT 3.0 decision tool which is based on a belief mass interpretation of the background information. The decision components are imprecise in terms of intervals and qualitative estimates and we emphasise how multiplicative and additive aggregations influence the resulting belief distribution over the expected values.

Cite

Text

Danielson et al. "Decideit 3.0: Software for Second-Order Based Decision Evaluations." Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications, 2019.

Markdown

[Danielson et al. "Decideit 3.0: Software for Second-Order Based Decision Evaluations." Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications, 2019.](https://mlanthology.org/isipta/2019/danielson2019isipta-decideit/)

BibTeX

@inproceedings{danielson2019isipta-decideit,
  title     = {{Decideit 3.0: Software for Second-Order Based Decision Evaluations}},
  author    = {Danielson, Mats and Ekenberg, Love and Larsson, Aron},
  booktitle = {Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications},
  year      = {2019},
  pages     = {121-124},
  volume    = {103},
  url       = {https://mlanthology.org/isipta/2019/danielson2019isipta-decideit/}
}