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Practical use of fuzzy implicative gradual rules in knowledge representation and comparison with Mamdani rules., , , and . EUSFLAT Conf., page 967-972. Universidad Polytecnica de Catalunya, (2005)Non-standard theories of uncertainty in knowledge representation and reasoning., and . Knowledge Eng. Review, 9 (4): 399-416 (1994)Les nouvelles théories de l'incertain.. EGC, volume E-26 of Revue des Nouvelles Technologies de l'Information, page 3-4. Hermann-Éditions, (2014)Fuzzy methods for case-based recommendation and decision support., , and . J. Intell. Inf. Syst., 27 (2): 95-115 (2006)On the representation of fuzzy rules in terms of crisp rules., , and . Inf. Sci., (2003)Kalman-like Filtering in a possibilistic Setting., , and . ECAI, page 8-12. IOS Press, (2000)Possibility theory in information fusion., and . NMR, page 103-116. (2002)Generalized Sugeno Integrals., , , and . IPMU (1), volume 610 of Communications in Computer and Information Science, page 363-374. Springer, (2016)Preference Modeling with Possibilistic Networks and Symbolic Weights: A Theoretical Study., , , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1203-1211. IOS Press, (2016)The Strength of Desires: A Logical Approach., , and . Minds and Machines, 27 (1): 199-231 (2017)