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
The Combination of Evidence in the Transferable Belief Model
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Implicative and conjunctive fuzzy rules—a tool for reasoning from knowledge and examples
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Knowledge-Driven versus Data-Driven Logics
Journal of Logic, Language and Information
The canonical decomposition of a weighted belief
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Bipolarity in Possibilistic Logic and Fuzzy Rules
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Elicitation of Sugeno Integrals: A Version Space Learning Perspective
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Bipolar representations in reasoning, knowledge extraction and decision processes
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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In daily life we have two kinds of knowledge at our disposal, pieces of information ruling out what is known to be impossible on the one hand, and case reports pointing out things which are indeed possible. The fusion of the first type of information is basically conjunctive, while it is disjunctive in the other case. The second type of information has been largely neglected by the logical tradition. Both types can be pervaded with uncertainty. The paper first describes how the two types of information can be accommodated in the possibility theory and in the evidence therory frameworks. Then it is shown how the existence of the two types of information can shed new light on the revision of knowledge base when receiving new information.