An Imprecise Probability Approach to Joint Extensions of Stochastic and Interval Orderings

DOI10.1007/978-3-642-31718-7_41zbMath1252.60006OpenAlexW2189208853MaRDI QIDQ3143417

Dubois, Didier, Inés Couso

Publication date: 30 November 2012

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-31718-7_41

Mathematics Subject Classification ID

Decision theory (91B06) Fuzzy probability (60A86)

Related Items (8)

Information efficient learning of complexly structured preferences: elicitation procedures and their application to decision making under uncertainty ⋮ Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences ⋮ Ranking of fuzzy intervals seen through the imprecise probabilistic lens ⋮ Decision making with imprecise probabilities and utilities by means of statistical preference and stochastic dominance ⋮ Machine learning models, epistemic set-valued data and generalized loss functions: an encompassing approach ⋮ Imprecise stochastic orders and fuzzy rankings ⋮ Comparing the magnitude of fuzzy intervals and fuzzy random variables from the standpoint of gradual numbers ⋮ Decision-making with belief functions: a review

This page was built for publication: An Imprecise Probability Approach to Joint Extensions of Stochastic and Interval Orderings