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Imprecise Modelling Using Gradual Rules and Its Application to the Classification of Time Series.

, , and . IFSA, volume 2715 of Lecture Notes in Computer Science, page 319-327. Springer, (2003)

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Representing Default Rules in Possibilistic Logic., , and . KR, page 673-684. Morgan Kaufmann, (1992)Possibilistic preference networks., , , and . Inf. Sci., (2018)In Search of a Modal System for Possibility Theory., , and . ECAI, page 501-506. Pitmann Publishing, London, (1988)General Interpolation by Polynomial Functions of Distributive Lattices., , , , and . IPMU (3), volume 299 of Communications in Computer and Information Science, page 347-355. Springer, (2012)Putting Rough Sets and Fuzzy Sets Together., and . Intelligent Decision Support, volume 11 of Theory and Decision Library, Springer, (1992)Comparing the magnitude of fuzzy intervals and fuzzy random variables from the standpoint of gradual numbers., and . Soft Comput., 23 (15): 5975-5990 (2019)Measure-Free Conditioning, Probability and Non-Monotonic Reasoning., and . IJCAI, page 1110-1114. Morgan Kaufmann, (1989)The Cube of Opposition: A Structure Underlying Many Knowledge Representation Formalisms., , and . IJCAI, page 2933-2939. AAAI Press, (2015)Theorem Proving Under Uncertainty - A Possibility Theory-based Approach., , and . IJCAI, page 984-986. Morgan Kaufmann, (1987)The posterity of Zadeh's 50-year-old paper., , and . FUZZ-IEEE, page 1-9. IEEE, (2015)