Abstract
Dung’ AF has been extended in many different directions. One particular direction is to allow uncertainty in AFs. Among others, probability and fuzzy theory are typical approaches used in this direction. In this paper, we argue that arguments can be both fuzzy and random. We thus introduce probabilistic-fuzzy argumentation frameworks in which probabilities and fuzzy values are combined to describe fuzzy and random arguments. We introduce an algorithm for revising probabilities. Based on this algorithm, we study semantics of probabilistic-fuzzy argumentation frameworks.
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CITATION STYLE
Wu, J., & Li, H. (2020). Probabilistic Three-Valued Argumentation Frameworks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12061 LNAI, pp. 308–323). Springer. https://doi.org/10.1007/978-3-030-44638-3_19
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