Uncertainty, belief, and probability
Computational Intelligence
When upper probabilities are possibility measures
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
k-order additive discrete fuzzy measures and their representation
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Supremum preserving upper probabilities
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Annals of Mathematics and Artificial Intelligence
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Fuzzy Sets and Systems
Possibility theory and statistical reasoning
Computational Statistics & Data Analysis
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
An uncertainty interchange format with imprecise probabilities
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Algorithms for possibility assessments: Coherence and extension
Fuzzy Sets and Systems
Inferential models and relevant algorithms in a possibilistic framework
International Journal of Approximate Reasoning
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Generalizing inference rules in a coherence-based probabilistic default reasoning
International Journal of Approximate Reasoning
Paper: Evidence measures based on fuzzy information
Automatica (Journal of IFAC)
Quasi conjunction, quasi disjunction, t-norms and t-conorms: Probabilistic aspects
Information Sciences: an International Journal
Independence in possibility theory under different triangular norms
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Qualitative capacities as imprecise possibilities
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Conditional random quantities and iterated conditioning in the setting of coherence
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Do inferential processes affect uncertainty frameworks?
Fuzzy Sets and Systems
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This paper deals with the upper and lower bounds of a class of uncertainty measures endowed with particular characteristics (decomposability, monotonicity, partial additivity and so on). We consider an initial partial assessment consistent with either probability or possibility or necessity, then we study the upper and lower envelopes of all possible extensions. By resorting to a notion of weak logical independence we get as lower or upper envelope a possibility or a necessity, respectively, starting either from a probability or from a possibility or from a necessity.