Belief structures, possibility theory and decomposable confidence measures on finite sets
Computers and Artificial Intelligence
Conditioning in possibility theory with strict order norms
Fuzzy Sets and Systems
On the possibilistic decision model: from decision under uncertainty to case-based decision
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - A special issue on fuzzy measures
From Conditional Events to Conditional Measures: A New Axiomatic Approach
Annals of Mathematics and Artificial Intelligence
Independence and Possibilistic Conditioning
Annals of Mathematics and Artificial Intelligence
A theoretical framework for possibilistic independence in a weakly ordered setting
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Conditional possibility and necessity
Technologies for constructing intelligent systems
Independence and conditional possibility for strictly monotone triangular norms: Research Articles
International Journal of Intelligent Systems - Uncertainty Processing
Possibility theory: Conditional independence
Fuzzy Sets and Systems
Comparative conditional possibilities
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A view on conditional measures through local representability of binary relations
International Journal of Approximate Reasoning
An Axiomatization of Conditional Possibilistic Preference Functionals
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
T-conditional possibilities: Coherence and inference
Fuzzy Sets and Systems
Inferential models and relevant algorithms in a possibilistic framework
International Journal of Approximate Reasoning
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Any dynamic decision model needs to deal with conditional events and conditional uncertainty measures. Moreover, to avoid the introduction of not available information in decision processes, we should refer to domains containing only the elements of interest. According to the aforementioned guidelines we study the comparative uncertainty framework for decision models referring to possibility and necessity measures: we consider binary relations, defined on an arbitrary set of conditional events and we provide a complete characterization in terms of necessary and sufficient conditions for their representability by a conditional possibility and by a conditional necessity.