Algorithms for precise and imprecise conditional probability assessments
Mathematical models for handling partial knowledge in artificial intelligence
Information Sciences: an International Journal
Conditional Inference and Logic for Intelligent Systems: A Theory of Measure-Free Conditioning
Conditional Inference and Logic for Intelligent Systems: A Theory of Measure-Free Conditioning
On the Linear Structure of Betting Criterion and the Checking of Coherence
Annals of Mathematics and Artificial Intelligence
Stochastic Independence in a Coherent Setting
Annals of Mathematics and Artificial Intelligence
An Operational View of Coherent Conditional Previsions
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Probabilistic Reasoning as a General Unifying Tool
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the checking of G-coherence of conditional probability bounds
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Statistical matching of multiple sources: A look through coherence
International Journal of Approximate Reasoning
Artificial Intelligence
Benefits of embedding structural constraints in coherent diagnostic processes
International Journal of Approximate Reasoning
Correction of incoherent conditional probability assessments
International Journal of Approximate Reasoning
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
Generalized Bayesian inference in a fuzzy context: From theory to a virtual reality application
Computational Statistics & Data Analysis
Coherent restrictions of vague conditional lower-upper probability extensions
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Some theoretical properties of conditional probability assessments
ECSQARU'05 Proceedings of the 8th 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
International Journal of Approximate Reasoning
On an implicit assessment of fuzzy volatility in the Black and Scholes environment
Fuzzy Sets and Systems
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
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In this paper we deal with probabilistic inference in the most general form of coherent conditional probability assessments. In particular, our aim is to reduce computational difficulties that could arise with a direct application of the main characterization results. We reach our goal by introducing the notion of locally strong coherence and characterizing it by logical conditions. Hence, some of the numerical constraints are replaced by Boolean satisfiability conditions. An automatic procedure is proposed and its efficiency is proved. Some examples are reported to make easier the understanding of the machinery and to show its effectiveness.