Are grades of membership probabilities?
Fuzzy Sets and Systems - Interpretations of Grades on Membership
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Simplification Rules for the Coherent Probability Assessment Problem
Annals of Mathematics and Artificial Intelligence
Locally Strong Coherence in Inference Processes
Annals of Mathematics and Artificial Intelligence
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Annals of Mathematics and Artificial Intelligence
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International Journal of Approximate Reasoning
Perception Based Representation of Female Avatar
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International Journal of Approximate Reasoning
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ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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Fuzzy and possibilistic clustering for fuzzy data
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Computational Statistics & Data Analysis
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IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
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Information Sciences: an International Journal
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A generalized Bayesian inference framework in order to embed fuzzy sets and partial probabilistic information is provided. The general framework of reference is that of coherent conditional probabilities, which allows giving a rigorous interpretation of membership function as a conditional probability, regarded as a function of the conditioning event. The inferential problem needs to be studied in situations where the prior can be partial; moreover, membership and prior can be given on different classes of events. This inferential model is applied for the virtual representation of a female avatar.