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Uncertain lightweight ontologies in a product-based possibility theory framework.

, , , and . Int. J. Approx. Reason., (2017)

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Multi-objective chicken swarm optimization: A novel algorithm for solving multi-objective optimization problems., , , and . Comput. Ind. Eng., (2019)Dialogue Games for Argumentation Frameworks with Necessities., and . ECSQARU, volume 9161 of Lecture Notes in Computer Science, page 72-82. Springer, (2015)Predictability of fuzzy discrete event systems., , and . Discrete Event Dynamic Systems, 27 (4): 641-673 (2017)Representing Knowledge about Norms., and . ECAI, page 363-367. IOS Press, (2004)Generalizing Naive and Stable Semantics in Argumentation Frameworks with Necessities and Preferences.. SUM, volume 7520 of Lecture Notes in Computer Science, page 44-57. Springer, (2012)A Reconstruction of Abstract Argumentation Admissible Semantics into Defaults and Answer Sets Programming., and . ICAART (1), page 237-242. SciTePress, (2012)Handling Preferences in Argumentation Frameworks with Necessities., , and . ICAART (1), page 340-345. SciTePress, (2012)MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences., , , , , and . MIWAI, volume 13651 of Lecture Notes in Computer Science, page 86-98. Springer, (2022)Representing Lightweight Ontologies in a Product-Based Possibility Theory Framework., , , and . SMPS, volume 456 of Advances in Intelligent Systems and Computing, page 45-52. Springer, (2016)A survey of episode mining., , and . WIREs Data. Mining. Knowl. Discov., (March 2024)