Improving and benchmarking of algorithms for decision making with lower previsions

DOI10.1016/j.ijar.2019.06.008zbMath1468.91036arXiv1906.12215OpenAlexW2953569110WikidataQ127558532 ScholiaQ127558532MaRDI QIDQ2302769

Camila C. S. Caiado, Nawapon Nakharutai, Matthias C. M. Troffaes

Publication date: 26 February 2020

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.12215

zbMATH Keywords

algorithmdecisionmaximalitybenchmarkingimprecise probabilityprimal-dual

Mathematics Subject Classification ID

Decision theory (91B06) Mathematical economics and fuzziness (91B86)

Related Items (2)

Decision making under severe uncertainty on a budget ⋮ Improving and benchmarking of algorithms for \(\Gamma \)-maximin, \( \Gamma \)-maximax and interval dominance

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• Decision theory meets linear optimization beyond computation
• Lower previsions
• Decision making
• Reliability and risk
• Lower Previsions
• Introduction to Imprecise Probabilities
• A Definition of Subjective Probability

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