Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
By Didier Dubois. Annals of Mathematics and Artificial Intelligence, 2001
450 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/fbbe398a3581db66c0a101707e42daea864670cc
How researchers see this paper
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In Artificial Intelligence
- M. Clark
- Michael Gerasimos Strintzis
- Ramez A. Elmasri
- Stamatia Dasiopoulou
- Yiannis Kompatsiaris
- Hyun Nam Lee
- Byoungyong Lee
- Kyungseo Park
In Computational Theory and Mathematics
Citations in the corpus
- A philosophical basis for hydrological uncertainty (2016, result): “…might take to scientific inference should be consistent with the two strong Aristotelian syllogisms (modus tollens and modus ponens) in any case where the latter are applicable; but certainly this is highly contentious (e.g. Shafer 1976, Kosko 1990, Dubois and Prade 2001, Jaynes 2003 Appendix A).”
- Imprecise probabilities in engineering analyses (2013, unknown): “Keywords: Uncertainty modeling; Imprecise probabilities; Evidence theory; Probability bounds analysis; Fuzzy probabilities”
- Fusion Techniques for Reliable Information: A Survey (2010, background): “Also, S = 1 means that the state S is accepted as possible [33].”
- Applying Fuzzy DLs in the Extraction of Image Semantics (2009, background): “For further details on the different semantics of the two uncertainty types, the reader is referred to [42].”