Abstract
Many authors have made proposals to model and handle databases involving uncertain data. In particular, the last two decades have witnessed a blossoming of researches on this topic (cf. e.g., [3,4,19] for some recent ones). Even though most of the literature about uncertain databases uses probability theory as the underlying uncertainty model, some approaches rather rest on possibility theory [26]. The initial idea consisting in applying possibility theory to this issue goes back to the early 80’s [24]. More recent advances on this topic can be found in [10].
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Bosc, P., Pivert, O. (2013). Querying Possibilistic Databases: Three Interpretations. In: Yager, R., Abbasov, A., Reformat, M., Shahbazova, S. (eds) Soft Computing: State of the Art Theory and Novel Applications. Studies in Fuzziness and Soft Computing, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34922-5_12
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