A Normal Form for Fuzzy Functional Dependencies
Abstract
A fuzzy extension of the classical functional dependency is shown which associates a degree not only to the attributes but also to the functional dependency, providing the maximum level of uncertainty in tables. For this proposal the kernel is the use of Simplification Logic for these fuzzy functional dependencies, which ensures a solid and efficient approach to manage them in the fuzzy extension considered. An algorithm to compute closures for this fuzzy functional dependencies is outlined and a normal form for fuzzy functional dependencies named direct-optimal basis is proposed.
Citation
Please, cite this work as:
[Rod+15] J. M. Rodr'-Jiménez, E. Rodr', P. Cordero, et al. “A Normal Form for Fuzzy Functional Dependencies”. In: IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015. IEEE, 2015, pp. 984-989. DOI: 10.1109/SSCI.2015.143. URL: https://doi.org/10.1109/SSCI.2015.143.
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Papers citing this work
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[1] E. Rodríguez-Lorenzo, P. Cordero, M. Enciso, et al. “Canonical dichotomous direct bases”. In: Information Sciences 376 (Jan. 2017), p. 39–53. ISSN: 0020-0255. DOI: 10.1016/j.ins.2016.10.004. URL: http://dx.doi.org/10.1016/j.ins.2016.10.004.
