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Maximum Likelihood Under Incomplete Information: Toward a Comparison of Criteria.

, and . SMPS, volume 456 of Advances in Intelligent Systems and Computing, page 141-148. Springer, (2016)

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On the Informational Comparison of Qualitative Fuzzy Measures., , and . IPMU (1), volume 442 of Communications in Computer and Information Science, page 216-225. Springer, (2014)Using Fuzzy Sets in Database Systems: Why and How?, and . FQAS, volume 62 of Datalogiske Skrifter (Writings on Computer Science), page 89-103. Roskilde University, (1996)Automated Reasoning Using Possibilistic Logic: Semantics, Belief Revision, and Variable Certainty Weights., , and . IEEE Trans. Knowl. Data Eng., 6 (1): 64-71 (1994)Responses to Elkan (Didier Dubois, Henri Prade, Philippe Smets)., , and . IEEE Expert, 9 (4): 15-19 (1994)Bipolar Representation and Fusion of Preferences on the Possibilistic Logic framework., , , and . KR, page 421-448. Morgan Kaufmann, (2002)A new perspective on reasoning with fuzzy rules., , and . Int. J. Intell. Syst., 18 (5): 541-567 (2003)Measuring and updating information., and . Inf. Sci., (1991)Nonmonotonic Reasoning, Conditional Objects and Possibility Theory., , and . Artif. Intell., 92 (1-2): 259-276 (1997)A practical approach to revising prioritized knowledge bases., , , and . KES, page 170-173. IEEE, (1999)Fuzzy Measures on Finite Scales as Families of Possibility Measures.. EUSFLAT Conf., page 822-829. Atlantis Press, (2011)