Relationships between possibility measures and nested random sets
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Integration and Conditioning in Numerical Possibility Theory
Annals of Mathematics and Artificial Intelligence
New Semantics for Quantitative Possibility Theory
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
The construction of consistent possibility and necessity measures
Fuzzy Sets and Systems - Possibility theory and fuzzy logic
A random set characterization of possibility measures
Information Sciences—Informatics and Computer Science: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Dedicated to the 60th birthday of Etienne E. Kerre
Upper Probabilities Attainable by Distributions of Measurable Selections
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A behavioural model for vague probability assessments
Fuzzy Sets and Systems
Approximations of upper and lower probabilities by measurable selections
Information Sciences: an International Journal
Probabilistic fuzzy logic system: a tool to process stochastic and imprecise information
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A probabilistic fuzzy logic system: learning in the stochastic environment with incomplete dynamics
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Inferential models and relevant algorithms in a possibilistic framework
International Journal of Approximate Reasoning
Consonant random sets: structure and properties
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
The distance of probabilistic fuzzy sets for classification
Pattern Recognition Letters
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The relationship is studied between possibility and necessity measures defined on arbitrary spaces, the theory of imprecise probabilities, and elementary random set theory. It is shown how special random sets can be used to generate normal possibility and necessity measures, as well as their natural extensions. This leads to interesting alternative formulas for the calculation of these natural extensions