Probabilistic Inference for Interval Probabilities in Decision-Making Processes

Environment. Technology. Resources: Proceedings of the 12th International Scientific and Practical Conference. Vol.2 2019
Oleg Uzhga-Rebrov, Gaļina Kuļešova

The present paper considers one approach to Bayes’ formula based probabilistic inference under interval values of relevant probabilities; the necessity of it is caused by the impossibility to obtain reliable deterministic values of the required probabilistic evaluations. The paper shows that the approach proves to be the best from the viewpoint of the required amount of calculations and visual representation of the results. The execution of the algorithm of probabilistic inference is illustrated using a classical task of decision making related to oil mining. For visualisation purposes, the state of initial and target information is modelled using probability trees.

Atslēgas vārdi
Bayes’ formula, event indicators, interval probabilistic inference, interval probability, probability tree
DOI
10.17770/etr2019vol2.4112
Hipersaite
http://journals.ru.lv/index.php/ETR/article/view/4112

Uzhga-Rebrov, O., Kuļešova, G. Probabilistic Inference for Interval Probabilities in Decision-Making Processes. No: Environment. Technology. Resources: Proceedings of the 12th International Scientific and Practical Conference. Vol.2, Latvija, Rēzekne, 20.-22. jūnijs, 2019. Rēzekne: Rēzeknes Tehnoloģiju akadēmija, 2019, 165.-169.lpp. ISSN 1691-5402. e-ISSN 2256-070X. Pieejams: doi:10.17770/etr2019vol2.4112

Publikācijas valoda
English (en)