Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Independence concepts in possibility theory: part I
Fuzzy Sets and Systems
Conditional independence relations in possibility theory
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - special issue on models for imprecise probabilities and partial knowledge
Decision Making and Medical Care: Proceedings
Decision Making and Medical Care: Proceedings
Conditional Independence in A Coherent Finite Setting
Annals of Mathematics and Artificial Intelligence
Independence and Possibilistic Conditioning
Annals of Mathematics and Artificial Intelligence
Stochastic Independence in a Coherent Setting
Annals of Mathematics and Artificial Intelligence
A theoretical framework for possibilistic independence in a weakly ordered setting
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Formal Properties of Conditional Independence in Different Calculi of AI
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Conditional possibility and necessity
Technologies for constructing intelligent systems
Conditional independence structures and graphical models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Graphoid properties of qualitative possibilistic independence relations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Independence and conditional possibility for strictly monotone triangular norms: Research Articles
International Journal of Intelligent Systems - Uncertainty Processing
Qualitative relevance and independence: a roadmap
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Comparative models ruled by possibility and necessity: A conditional world
International Journal of Approximate Reasoning
A view on conditional measures through local representability of binary relations
International Journal of Approximate Reasoning
Weak Implication in Terms of Conditional Uncertainty Measures
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
An Axiomatization of Conditional Possibilistic Preference Functionals
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
T-conditional possibilities: Coherence and inference
Fuzzy Sets and Systems
Conditional independence structure and its closure: Inferential rules and algorithms
International Journal of Approximate Reasoning
Acyclic directed graphs representing independence models
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
A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change
Environmental Modelling & Software
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
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The subtle notion of conditioning is controversial in several contexts, for example in possibility theory where, in fact, different definitions have been introduced. We refer to a general axiomatic definition of conditional possibility and then we deal with ''partial assessments'' on (not necessarily structured) domains containing only elements of interest. We study a notion of coherence, which assures the extendability of an assessment as a conditional possibility and we introduce a procedure for checking coherence. Moreover, we propose a definition of independence for conditional possibility, which avoids some counterintuitive situations, and we study its main properties in order to compare it with other definitions introduced in literature. Then, we check which properties among the graphoid ones are satisfied: this allows to compare our definition with other independence notions given in the context of other uncertainty formalisms. This analysis is relevant for graphical models in order to single out and visualize dependence relations among random variables.