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Dubois, Didier
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Representing qualitative capacities as families of possibility measures
Dubois D., Prade H., Rico A. International Journal of Approximate Reasoning 58(C): 3-24, 2015. Type: Article
Approximate reasoning maps predicates (or, equivalently, sets) to “quantitative” capacities, that is, numerical values that can be interpreted as probabilities, degrees of belief, or similar. This interpretation cru...
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Sep 1 2015
Preferences and similarities
Riccia G., Dubois D., Lenz H., Kruse R., Springer Publishing Company, Incorporated, 2008. 320 pp. Type: Book (9783211854310)
This book is the result of the “International School for the Synthesis of Expert Knowledge (ISSEK)” workshop, held in Udine, Italy. Like the majority of books based on workshops, this volume struggles with identifyi...
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Apr 2 2009
Fuzzy methods for case-based recommendation and decision support
Dubois D., Hüllermeier E., Prade H. Journal of Intelligent Information Systems 27(2): 95-115, 2006. Type: Article
Dubois et al. have already published work on the use of fuzzy reasoning in case-based decision support. This paper builds on that prior work, presenting a theoretical formulation for, and an example usage of, two ways of using fuzzy re...
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Jan 18 2007
Making revision reversible: an approach based on polynomials
Benferhat S., Dubois D., Lagrue S., Papini O. Fundamenta Informaticae 53(3,4): 251-280, 2002. Type: Article
A model of epistemic change in belief sets that is iterable and based on polynomials is reported on in this paper. An epistemic state, encoding uncertain information, is represented by a total preorder on the set of all interpretations...
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Nov 24 2003
What does fuzzy logic bring to AI?
Dubois D., Prade H. ACM Computing Surveys 27(3): 328-330, 1995. Type: Article
The authors correctly emphasize that taking “fuzzy logic” as referring to a particular control-engineering methodology is, although common, nevertheless a narrow and incomplete understanding of fuzzy logic research....
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Sep 1 1996
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