Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
The representation of importance and interaction of features by fuzzy measures
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
New Semantics for Quantitative Possibility Theory
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Entropy conserving probability transforms and the entailment principle
Fuzzy Sets and Systems
Comparing probability measures using possibility theory: A notion of relative peakedness
International Journal of Approximate Reasoning
A definition of subjective possibility
International Journal of Approximate Reasoning
Decision trees as possibilistic classifiers
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
The possibilistic moments of fuzzy numbers and their applications
Journal of Computational and Applied Mathematics
Possibility theory and statistical reasoning
Computational Statistics & Data Analysis
Inferring a possibility distribution from empirical data
Fuzzy Sets and Systems
Development of possibilistic causal model from data
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Supervised Pseudo Self-Evolving Cerebellar algorithm for generating fuzzy membership functions
Expert Systems with Applications: An International Journal
Image segmentation based on histogram analysis utilizing the cloud model
Computers & Mathematics with Applications
A possibilistic query translation approach for cross-language information retrieval
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Parallel-machine scheduling to minimize makespan with fuzzy processing times and learning effects
Information Sciences: an International Journal
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This short note defines a bijective mapping which turns a probability measure into a possibility measure. This transformation has intuitive grounds. Especially, the converse mapping corresponds to the usual assignment of identical probability values to elementary events of a given set when no information is available.