Relevance: communication and cognition
Relevance: communication and cognition
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Qualitative probabilities: a normative framework for commonsense reasoning
Qualitative probabilities: a normative framework for commonsense reasoning
A qualitative theory of uncertainty
Fundamenta Informaticae
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A Symbolic Approach To Uncertainty Management
Applied Intelligence
Qualitative Reasoning Under Uncertainty
EPIA '95 Proceedings of the 7th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Qualitative Reasoning under Uncertainty
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference
Qualitative Reasoning under Uncertain Knowledge
IEA/AIE '98 Proceedings of the 11th international conference on Industrial and engineering applications of artificial intelligence and expert systems: methodology and tools in knowledge-based systems
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Conditional plausibility measures and Bayesian networks
Journal of Artificial Intelligence Research
Graphical models for preference and utility
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Computational advantages of relevance reasoning in Bayesian belief networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Coherent knowledge processing at maximum entropy by spirit
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Uncertainty Management and Informational Relevance
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Qualitative representation of building sites annoyance
Proceedings of the 2012 ACM workshop on City data management workshop
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This paper is devoted to qualitative reasoning under ignorance. We show how to represent conditional ignorance and informational relevance in the symbolic entropy theory that we have developed in our previous work. This theory allows us to represent uncertainty, in the ignorance form, as in common-sense reasoning, by using the linguistic expressions of the interval [Certain, Completely uncertain]. We recall this theory, then we introduce the notions of conditional ignorance and of informational relevance. Finally we present some theorems of qualitative reasoning with uncertain knowledge. Particularly, we show how to extract the best relevant information in order to treat some problems under ignorance.