Abstract
In this paper we present a query language for lattice-based (or L-fuzzy) databases. These databases store L-fuzzy sets in their attributes instead of (crisp) values in order to handle imprecise or incomplete information. A semantics for the language is defined using the abstract notion of an arrow category.
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Adjei, E., Chowdhury, W., Winter, M. (2015). L-Fuzzy Databases in Arrow Categories. In: Kahl, W., Winter, M., Oliveira, J. (eds) Relational and Algebraic Methods in Computer Science. RAMICS 2015. Lecture Notes in Computer Science(), vol 9348. Springer, Cham. https://doi.org/10.1007/978-3-319-24704-5_18
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DOI: https://doi.org/10.1007/978-3-319-24704-5_18
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