Belief structures, possibility theory and decomposable confidence measures on finite sets
Computers and Artificial Intelligence
The principle of minimum specificity as a basis for evidential reasoning
Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty in knowledge-based systems. International Conference on Information
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
What does a conditional knowledge base entail?
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Epistemic entrenchment and possibilistic logic
Artificial Intelligence
Modal logics for qualitative possibility and beliefs
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
From ordering-based nonmonotonic reasoning to conditional logics
Artificial Intelligence
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Can we enforce full compositionality in uncertainty calculi?
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
System Z: a natural ordering of defaults with tractable applications to nonmonotonic reasoning
TARK '90 Proceedings of the 3rd conference on Theoretical aspects of reasoning about knowledge
Revisions of knowledge systems using epistemic entrenchment
TARK '88 Proceedings of the 2nd conference on Theoretical aspects of reasoning about knowledge
Preferred subtheories: an extended logical framework for default reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Inconsistency management and prioritized syntax-based entailment
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Possibilistic logic, preferential models, non-monotonicity and related issues
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Quasi-Possibilistic Logic and its Measures of Information and Conflict
Fundamenta Informaticae - The 1st International Workshop on Knowledge Representation and Approximate Reasoning (KR&AR)
Belief functions on distributive lattices
Artificial Intelligence
A novel semantic quantitative description method based on possibilistic logic
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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We propose an integration of possibility theory into non-classical logics. We obtain many formal results that generalize the case where possibility and necessity functions are based on classical logic. We show how useful such an approach is by applying it to reasoning under uncertain and inconsistent information.