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A Practical Inference Method with Several Implicative Gradual Rules and a Fuzzy Input: One and Two Dimensions.

, , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)

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A Possibilistic Logic Approach to Conditional Preference Queries., , and . FQAS, volume 8132 of Lecture Notes in Computer Science, page 376-388. Springer, (2013)Representing preferences in the possibilistic setting., , and . Preferences, volume 04271 of Dagstuhl Seminar Proceedings, IBFI, Schloss Dagstuhl, Germany, (2004)Using consistency and abduction based indices in possibilistic causal diagnosis., , and . FUZZ-IEEE, page 729-734. IEEE, (2000)Qualitative Possibilistic Mixed-Observable MDPs., , , and . UAI, AUAI Press, (2013)Uncertainty Elicitation and Propagation in GSN Models of Assurance Cases., , and . SAFECOMP, volume 13414 of Lecture Notes in Computer Science, page 111-125. Springer, (2022)CP-Nets, -pref Nets, and Pareto Dominance., , and . SUM, volume 11940 of Lecture Notes in Computer Science, page 169-183. Springer, (2019)Towards a Tesseract of Sugeno Integrals., , and . ECSQARU, volume 12897 of Lecture Notes in Computer Science, page 528-542. Springer, (2021)Bipolar Representation and Fusion of Preferences on the Possibilistic Logic framework., , , and . KR, page 421-448. Morgan Kaufmann, (2002)Nonmonotonic Reasoning, Conditional Objects and Possibility Theory., , and . Artif. Intell., 92 (1-2): 259-276 (1997)A new perspective on reasoning with fuzzy rules., , and . Int. J. Intell. Syst., 18 (5): 541-567 (2003)