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Comparing the magnitude of fuzzy intervals and fuzzy random variables from the standpoint of gradual numbers.

, and . Soft Comput., 23 (15): 5975-5990 (2019)

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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)Bipolar Representation and Fusion of Preferences on the Possibilistic Logic framework., , , and . KR, page 421-448. Morgan Kaufmann, (2002)A systematic approach to the assessment of fuzzy association rules., , and . Data Min. Knowl. Discov., 13 (2): 167-192 (2006)Nonmonotonic Reasoning, Conditional Objects and Possibility Theory., , and . Artif. Intell., 92 (1-2): 259-276 (1997)A Theoretical Framework for Possibilistic Independence in a Weakly Ordered Setting., , , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10 (2): 117-155 (2002)Measuring and updating information., and . Inf. Sci., (1991)A new perspective on reasoning with fuzzy rules., , and . Int. J. Intell. Syst., 18 (5): 541-567 (2003)Some Memories about an Old Research Companionship., and . Accuracy and Fuzziness, volume 323 of Studies in Fuzziness and Soft Computing, Springer, (2015)Fuzzy Measures on Finite Scales as Families of Possibility Measures.. EUSFLAT Conf., page 822-829. Atlantis Press, (2011)